{"data":[{"id":"10.6075/j0kd1z35","type":"dois","attributes":{"doi":"10.6075/j0kd1z35","identifiers":[],"creators":[{"name":"Zilberman, Nathalie V.","nameType":"Personal","givenName":"Nathalie V.","familyName":"Zilberman","affiliation":[],"nameIdentifiers":[]},{"name":"Scanderbeg, Megan C.","nameType":"Personal","givenName":"Megan C.","familyName":"Scanderbeg","affiliation":[],"nameIdentifiers":[]},{"name":"Gray, Alison R.","nameType":"Personal","givenName":"Alison R.","familyName":"Gray","affiliation":[],"nameIdentifiers":[]},{"name":"Oke, Peter R.","nameType":"Personal","givenName":"Peter R.","familyName":"Oke","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Scripps Argo Trajectory-Based Velocity Product"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2022,"subjects":[{"subject":"Float trajectory at parking depth"},{"subject":"Deep Argo"},{"subject":"Argo"},{"subject":"Biogeochemical-Argo (BGC-Argo)"},{"subject":"Core Argo"},{"subject":"Argo absolute velocity"},{"subject":"Domain: Earth sciences"}],"contributors":[],"dates":[{"date":"2022","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1175/jtech-d-22-0065.1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[],"descriptions":[{"description":"This dataset contains absolute velocity estimates from quality controlled Argo trajectory files. \n\nBoth Scripps trajectory products include trajectories from Core, BGC and Deep Argo floats starting in 2001. Only trajectories with cycles ranging from 5 - 25 days are included in the products.\n\nThe products include both a transmitted and extrapolated trajectory-based velocity (if available) for each cycle. The extrapolated velocities are only available for floats equipped with the Argos positioning system which have six or more good quality surface fixes.\n\nPRODUCTS:\nThere are two product netCDF files within the archive:\n- Quality controlled Argo trajectory-based velocities within the 800 - 1200 db range\n- Quality controlled Argo trajectory-based velocities within the 100 - 6200 db range","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/collection/bb6630688j","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":2,"partCount":2,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2022-06-08T17:05:16Z","registered":"2022-06-08T17:05:17Z","published":null,"updated":"2026-06-04T20:47:11Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j04t6kc6","type":"dois","attributes":{"doi":"10.6075/j04t6kc6","identifiers":[],"creators":[{"name":"Zilberman, Nathalie V.","nameType":"Personal","givenName":"Nathalie V.","familyName":"Zilberman","affiliation":[],"nameIdentifiers":[]},{"name":"Scanderbeg, Megan C.","nameType":"Personal","givenName":"Megan C.","familyName":"Scanderbeg","affiliation":[],"nameIdentifiers":[]},{"name":"Gray, Alison R.","nameType":"Personal","givenName":"Alison R.","familyName":"Gray","affiliation":[],"nameIdentifiers":[]},{"name":"Oke, Peter R.","nameType":"Personal","givenName":"Peter R.","familyName":"Oke","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Scripps Argo trajectory-based velocity product 2001-01 to 2025-12. In Scripps Argo Trajectory-Based Velocity Product"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2026,"subjects":[{"subject":"Biogeochemical-Argo (BGC-Argo)"},{"subject":"Float trajectory at parking depth"},{"subject":"Core Argo"},{"subject":"Argo absolute velocity"},{"subject":"Deep Argo"},{"subject":"Domain: Earth sciences"},{"subject":"Argo"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"References","relatedIdentifier":"10.1175/jtech-d-22-0065.1","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","relatedIdentifier":"10.6075/j0kd1z35","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["application/netcdf","application/netcdf","application/pdf","image/jpeg"],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset contains absolute velocity estimates from quality controlled Argo trajectory files.\n\nBoth Scripps trajectory products include trajectories from Core, BGC and Deep Argo floats starting in 2001. Only trajectories with cycles ranging from 5 - 25 days are included in the products.\n\nThe products include both a transmitted and extrapolated trajectory-based velocity (if available) for each cycle. The extrapolated velocities are only available for floats equipped with the Argos positioning system which have six or more good quality surface fixes.\n\nPRODUCTS:\nThere are two product netCDF files within the archive:\n- Quality controlled Argo trajectory-based velocities within the 800 - 1200 db range\n- Quality controlled Argo trajectory-based velocities within the 100 - 6200 db range\n\nFORMAT:\nAll products are netCDF files and fill value is ‘99999’ for numbers and ‘ ‘ for characters.\n\nThe products both have the following variables:\n\nLocations and times:\n LATITUDE_ASCENDING_TRANSMITTED – transmitted latitude at surfacing\n LATITUDE_DESCENDING_TRANSMITTED – transmitted latitude at descending\n LATITUDE_MIDPOINT_TRANSMITTED - midpoint of the ascending and descending transmitted latitudes\n LONGITUDE_ASCENDING_TRANSMITTED – transmitted longitude at surfacing\n LONGITUDE_DESCENDING_TRANSMITTED – transmitted longitude at descending\n LONGITUDE_MIDPOINT_TRANSMITTED - midpoint of the ascending and descending transmitted longitudes \n JULD_ASCENDING_TRANSMITTED – transmitted time at surfacing\n JULD_DESCENDING_TRANSMITTED – transmitted time at descending\n JULD_MIDPOINT_TRANSMITTED - midpoint of the ascending and descending transmitted times\n\n LATITUDE_ASCENDING – if available, extrapolated latitude at surfacing. If not, transmitted latitude at surfacing\n LATITUDE_DESCENDING – if available, extrapolated latitude at descending. If not, transmitted latitude at descending \n LATITUDE_MIDPOINT - midpoint of the ascending and descending extrapolated latitudes, if available. If not, the midpoint of the ascending and descending transmitted latitudes\n LONGITUDE_ASCENDING– if available, extrapolated longitude at surfacing. If not, transmitted longitude at ascending.\n LONGITUDE_DESCENDING – if available, extrapolated longitude at descending. If not, transmitted longitude at descending \n LONGITUDE_MIDPOINT - midpoint of the ascending and descending extrapolated longitudes, if available. If not, the midpoint of the ascending and descending transmitted longitudes\n JULD_ASCENDING – if available, extrapolated time at surfacing. If not, transmitted time at ascending.\n JULD_DESCENDING – if available, extrapolated time at descending. If not, transmitted time at descending \n JULD_MIDPOINT - midpoint of the ascending and descending extrapolated times, if available. If not, the midpoint of the ascending and descending transmitted times \n \nVelocities:\nVELOCITY_ZONAL_TRANSMITTED - zonal transmitted velocity\nVELOCITY_MERIDIONAL_TRANSMITTED - meridional transmitted velocity\nVELOCITY_ZONAL - if available, extrapolated zonal velocity. If not, transmitted zonal velocity.\nVELOCITY_MERIDIONAL - if available, extrapolated meridional velocity. If not, transmitted zonal velocity.\n\nSpeeds:\nSPEED_TRANSMITTED - speed calculated from the transmitted zonal and meridional velocities\nSPEED - speed calculated from the zonal and meridional velocities\n\nAssociated data:\nDRIFT_PRES = best estimate of drift pressure\nDRIFT_TEMP = best estimate of drift temperature\nCYCLE_NUMBER = cycle number of profile used to make subsurface velocity estimates (e.g., '2' means subsurface velocity during cycle 2-3). \nSURFACE_FIXES - number of surface fixes on descending cycle\nWMO_NUMBER - WMO number of Argo float\nPOSITIONING_SYSTEM - ‘ARGOS’, ’GPS’, or ’IRIDIUM’. This comes from the ‘POSITIONING_SYSTEM’ variable in the Argo trajectory files. Currently, there are some floats that have ‘IRIDIUM’ in this variable, but it is inaccurate. These floats use ‘GPS’ for their positioning.\nPOSITIONING_SYSTEM_FLAG - 1 means Argos, 2 means GPS or Iridium\nPLATFORM_TYPE - comes from ‘PLATFORM_TYPE’ variable in Argo files and corresponds to Argo Reference Table 23: PLATFORM_TYPE\nSENSOR_TYPE_FLAG - 1 means float with CTD only, 2 means oxygen sensor in addition to CTD, 3 means additional BGC sensors, 4 means acoustic sensor or EM sensor, 5 means sea surface temperature\nMISSION_FLAG - Argo float mission: 1 means core, 2 means bgc, 3 means deep\nEXTRAP_FLAG - flag to indicate if there is an extrapolated velocity (EXTRAP_FLAG = 1) or just transmitted (EXTRAP_FLAG = 0)","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/object/bb5203763v","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":1,"citationCount":0,"partCount":0,"partOfCount":1,"versionCount":0,"versionOfCount":0,"created":"2026-06-04T18:25:54Z","registered":"2026-06-04T18:25:55Z","published":null,"updated":"2026-06-04T20:41:50Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0fq9ws6","type":"dois","attributes":{"doi":"10.6075/j0fq9ws6","identifiers":[],"creators":[{"name":"Zilberman, Nathalie V.","nameType":"Personal","givenName":"Nathalie V.","familyName":"Zilberman","affiliation":[],"nameIdentifiers":[]},{"name":"Scanderbeg, Megan C.","nameType":"Personal","givenName":"Megan C.","familyName":"Scanderbeg","affiliation":[],"nameIdentifiers":[]},{"name":"Gray, Alison R.","nameType":"Personal","givenName":"Alison R.","familyName":"Gray","affiliation":[],"nameIdentifiers":[]},{"name":"Oke, Peter R.","nameType":"Personal","givenName":"Peter R.","familyName":"Oke","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Scripps Argo trajectory-based velocity product 2001-01 to 2020-12. In Scripps Argo Trajectory-Based Velocity Product"}],"publisher":"UC San Diego Library Digital Collections","container":{"type":"DataRepository","identifier":"https://doi.org/10.6075/J0KD1Z35","identifierType":"DOI"},"publicationYear":2022,"subjects":[{"subject":"Domain: Earth sciences"},{"subject":"Argo"},{"subject":"Deep Argo"},{"subject":"Float trajectory at parking depth"},{"subject":"Core Argo"},{"subject":"Argo absolute velocity"},{"subject":"Biogeochemical-Argo (BGC-Argo)"}],"contributors":[],"dates":[{"date":"2022","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1175/jtech-d-22-0065.1","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","relatedIdentifier":"10.6075/j0kd1z35","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["application/netcdf","application/netcdf","application/pdf","image/jpeg"],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset contains absolute velocity estimates from quality controlled Argo trajectory files. \n\nBoth Scripps trajectory products include trajectories from Core, BGC and Deep Argo floats starting in 2001. Only trajectories with cycles ranging from 5 - 25 days are included in the products.\n\nThe products include both a transmitted and extrapolated trajectory-based velocity (if available) for each cycle. The extrapolated velocities are only available for floats equipped with the Argos positioning system which have six or more good quality surface fixes. \n\nPRODUCTS:\nThere are two product netCDF files within the archive:\n- Quality controlled Argo trajectory-based velocities within the 800 - 1200 db range\n- Quality controlled Argo trajectory-based velocities within the 100 - 6200 db range\n\nFORMAT:\nAll products are netCDF files and fill value is ‘99999’ for numbers and ‘ ‘ for characters. \n\nThe products both have the following variables:\n\nLocations and times:\nLATITUDE_ASCENDING_TRANSMITTED – transmitted latitude at surfacing\nLATITUDE_DESCENDING_TRANSMITTED – transmitted latitude at descending\nLONGITUDE_ASCENDING_TRANSMITTED – transmitted longitude at surfacing\nLONGITUDE_DESCENDING_TRANSMITTED – transmitted longitude at descending\nJULD_ASCENDING_TRANSMITTED – transmitted time at surfacing\nJULD_DESCENDING_TRANSMITTED – transmitted time at descending\n\nLATITUDE_ASCENDING – if available, extrapolated latitude at surfacing. If not available, the transmitted latitude at surfacing\nLATITUDE_DESCENDING – if available, extrapolated latitude at descending. If not available, the transmitted latitude at descending\nLONGITUDE_ASCENDING– if available, extrapolated longitude at surfacing. If not available, the transmitted longitude at ascending.\nLONGITUDE_DESCENDING – if available, extrapolated longitude at descending. If not available, the transmitted longitude at descending\n\nJULD_ASCENDING – if available, extrapolated time at surfacing. If not available, the transmitted time at ascending.\nJULD_DESCENDING – if available, extrapolated time at descending. If not available, transmitted time at descending \n\nVelocities:\nVELOCITY_ZONAL_TRANSMITTED - zonal transmitted velocity\nVELOCITY_MERIDIONAL_TRANSMITTED - meridional transmitted velocity\nVELOCITY_ZONAL - if available, extrapolated zonal velocity. If not available, the transmitted zonal velocity.\nVELOCITY_MERIDIONAL - if available, extrapolated meridional velocity. If not available, the transmitted zonal velocity.\n\nAssociated data:\nDRIFT_PRES - best estimate of drift pressure\nDRIFT_TEMP - best estimate of drift temperature\nCYCLE_NUMBER - cycle number of profile used to make subsurface velocity estimates (e.g., '2' means subsurface velocity during cycle 2-3). \nSURFACE_FIXES - number of surface fixes on descending cycle\nWMO_NUMBER - WMO number of Argo float\nPOSITIONING_SYSTEM - ‘ARGOS’, ’GPS’, or ’IRIDIUM’. This comes from the ‘POSITIONING_SYSTEM’ variable in the Argo trajectory files. Currently, there are some floats that have ‘IRIDIUM’ in this variable, but it is inaccurate. These floats use ‘GPS’ for their positioning. \nPOSITIONING_SYSTEM_FLAG - 1 means Argos, 2 means GPS or Iridium\nPLATFORM_TYPE - comes from ‘PLATFORM_TYPE’ variable in Argo files and corresponds to Argo Reference Table 23: PLATFORM_TYPE\nSENSOR_TYPE_FLAG - 1 means float with CTD only, 2 means oxygen sensor in addition to CTD, 3 means additional BGC sensors, 4 means acoustic sensor or EM sensor, 5 means sea surface temperature\nMISSION_FLAG - Argo float mission: 1 means core, 2 means bgc, 3 means deep\nEXTRAP_FLAG - flag to indicate if there is an extrapolated velocity (EXTRAP_FLAG = 1) or just transmitted (EXTRAP_FLAG = 0)","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/object/bb3695506m","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":1,"partCount":0,"partOfCount":1,"versionCount":0,"versionOfCount":0,"created":"2022-06-08T17:08:21Z","registered":"2022-06-08T17:08:23Z","published":null,"updated":"2026-06-04T20:41:48Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0nk3f7v","type":"dois","attributes":{"doi":"10.6075/j0nk3f7v","identifiers":[],"creators":[{"name":"Zilberman, Nathalie V.","nameType":"Personal","givenName":"Nathalie V.","familyName":"Zilberman","affiliation":[],"nameIdentifiers":[]},{"name":"Scanderbeg, Megan C.","nameType":"Personal","givenName":"Megan C.","familyName":"Scanderbeg","affiliation":[],"nameIdentifiers":[]},{"name":"Gray, Alison R.","nameType":"Personal","givenName":"Alison R.","familyName":"Gray","affiliation":[],"nameIdentifiers":[]},{"name":"Oke, Peter R.","nameType":"Personal","givenName":"Peter R.","familyName":"Oke","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Scripps Argo trajectory-based velocity product 2001-01 to 2022-12. In Scripps Argo Trajectory-Based Velocity Product"}],"publisher":"UC San Diego Library Digital Collections","container":{"type":"DataRepository","identifier":"https://doi.org/10.6075/J0KD1Z35","identifierType":"DOI"},"publicationYear":2023,"subjects":[{"subject":"Domain: Earth sciences"},{"subject":"Core Argo"},{"subject":"Argo absolute velocity"},{"subject":"Argo"},{"subject":"Float trajectory at parking depth"},{"subject":"Deep Argo"},{"subject":"Biogeochemical-Argo (BGC-Argo)"}],"contributors":[],"dates":[{"date":"2023","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"References","relatedIdentifier":"10.1175/jtech-d-22-0065.1","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","relatedIdentifier":"10.6075/j0kd1z35","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["application/netcdf","application/netcdf","application/pdf","image/jpeg"],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset contains absolute velocity estimates from quality controlled Argo trajectory files.\n\nBoth Scripps trajectory products include trajectories from Core, BGC and Deep Argo floats starting in 2001. Only trajectories with cycles ranging from 5 - 25 days are included in the products.\n\nThe products include both a transmitted and extrapolated trajectory-based velocity (if available) for each cycle. The extrapolated velocities are only available for floats equipped with the Argos positioning system which have six or more good quality surface fixes.\n\nPRODUCTS:\nThere are two product netCDF files within the archive:\n- Quality controlled Argo trajectory-based velocities within the 800 - 1200 db range\n- Quality controlled Argo trajectory-based velocities within the 100 - 6200 db range\n\nFORMAT:\nAll products are netCDF files and fill value is ‘99999’ for numbers and ‘ ‘ for characters.\n\nThe products both have the following variables:\n\nLocations and times:\nLATITUDE_ASCENDING_TRANSMITTED – transmitted latitude at surfacing\nLATITUDE_DESCENDING_TRANSMITTED – transmitted latitude at descending\nLATITUDE_MIDPOINT_TRANSMITTED - midpoint of the ascending and descending transmitted latitudes\nLONGITUDE_ASCENDING_TRANSMITTED – transmitted longitude at surfacing\nLONGITUDE_DESCENDING_TRANSMITTED – transmitted longitude at descending\nLONGITUDE_MIDPOINT_TRANSMITTED - midpoint of the ascending and descending transmitted longitudes \nJULD_ASCENDING_TRANSMITTED – transmitted time at surfacing\nJULD_DESCENDING_TRANSMITTED – transmitted time at descending\nJULD_MIDPOINT_TRANSMITTED - midpoint of the ascending and descending transmitted times\n\nLATITUDE_ASCENDING – if available, extrapolated latitude at surfacing. If not, transmitted latitude at surfacing\nLATITUDE_DESCENDING – if available, extrapolated latitude at descending. If not, transmitted latitude at descending \nLATITUDE_MIDPOINT - midpoint of the ascending and descending extrapolated latitudes, if available. If not, the midpoint of the ascending and descending transmitted latitudes\nLONGITUDE_ASCENDING– if available, extrapolated longitude at surfacing. If not, transmitted longitude at ascending.\nLONGITUDE_DESCENDING – if available, extrapolated longitude at descending. If not, transmitted longitude at descending \nLONGITUDE_MIDPOINT - midpoint of the ascending and descending extrapolated longitudes, if available. If not, the midpoint of the ascending and descending transmitted longitudes \nJULD_ASCENDING – if available, extrapolated time at surfacing. If not, transmitted time at ascending.\nJULD_DESCENDING – if available, extrapolated time at descending. If not, transmitted time at descending \nJULD_MIDPOINT - midpoint of the ascending and descending extrapolated times, if available. If not, the midpoint of the ascending and descending transmitted times \n\nVelocities:\nVELOCITY_ZONAL_TRANSMITTED - zonal transmitted velocity\nVELOCITY_MERIDIONAL_TRANSMITTED - meridional transmitted velocity\nVELOCITY_ZONAL - if available, extrapolated zonal velocity. If not, transmitted zonal velocity.\nVELOCITY_MERIDIONAL - if available, extrapolated meridional velocity. If not, transmitted zonal velocity.\n\nSpeeds:\nSPEED_TRANSMITTED - speed calculated from the transmitted zonal and meridional velocities\nSPEED - speed calculated from the zonal and meridional velocities\n\nAssociated data:\nDRIFT_PRES = best estimate of drift pressure\nDRIFT_TEMP = best estimate of drift temperature\nCYCLE_NUMBER = cycle number of profile used to make subsurface velocity estimates (e.g., '2' means subsurface velocity during cycle 2-3). \nSURFACE_FIXES - number of surface fixes on descending cycle\nWMO_NUMBER - WMO number of Argo float\nPOSITIONING_SYSTEM - ‘ARGOS’, ’GPS’, or ’IRIDIUM’. This comes from the ‘POSITIONING_SYSTEM’ variable in the Argo trajectory files. Currently, there are some floats that have ‘IRIDIUM’ in this variable, but it is inaccurate. These floats use ‘GPS’ for their positioning.\nPOSITIONING_SYSTEM_FLAG - 1 means Argos, 2 means GPS or Iridium\nPLATFORM_TYPE - comes from ‘PLATFORM_TYPE’ variable in Argo files and corresponds to Argo Reference Table 23: PLATFORM_TYPE\nSENSOR_TYPE_FLAG - 1 means float with CTD only, 2 means oxygen sensor in addition to CTD, 3 means additional BGC sensors, 4 means acoustic sensor or EM sensor, 5 means sea surface temperature\nMISSION_FLAG - Argo float mission: 1 means core, 2 means bgc, 3 means deep\nEXTRAP_FLAG - flag to indicate if there is an extrapolated velocity (EXTRAP_FLAG = 1) or just transmitted (EXTRAP_FLAG = 0)","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/object/bb91235246","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":3,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2023-05-18T05:47:20Z","registered":"2023-05-18T05:47:21Z","published":null,"updated":"2026-06-04T20:41:46Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0cchabp","type":"dois","attributes":{"doi":"10.6075/j0cchabp","identifiers":[],"creators":[{"name":"CCHDO Hydrographic Data Office","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"CCHDO Hydrographic Data Archive, Version 2026-06-01. In CCHDO Hydrographic Data Archive"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2026,"subjects":[{"subject":"Partial pressure of carbon dioxide (pCO2)"},{"subject":"South Atlantic Ocean"},{"subject":"Stable carbon isotope composition of dissolved inorganic carbon (del13C of DIC)"},{"subject":"Transmissometer"},{"subject":"Atlantic Ocean"},{"subject":"Southern Ocean"},{"subject":"Dissolved oxygen"},{"subject":"Arctic Ocean"},{"subject":"Pressure"},{"subject":"Nitrite (NO2)"},{"subject":"Mediterranean Sea"},{"subject":"Nitrate (NO3)"},{"subject":"Dissolved organic nitrogen (DON)"},{"subject":"Nutrients"},{"subject":"Indian Ocean"},{"subject":"North Pacific Ocean"},{"subject":"Sulfur hexafluoride (SF6)"},{"subject":"Silicate (SiO3)"},{"subject":"Oxygen"},{"subject":"South Pacific Ocean"},{"subject":"Dissolved organic carbon (DOC)"},{"subject":"Chlorofluorocarbons (CFC)"},{"subject":"Total alkalinity (TAlk)"},{"subject":"Pacific Ocean"},{"subject":"Trace metals"},{"subject":"Temperature"},{"subject":"Carbon tetrachloride (CCl4)"},{"subject":"Potential of hydrogen (pH)"},{"subject":"Salinity"},{"subject":"Dissolved inorganic carbon (DIC)"},{"subject":"North Atlantic Ocean"},{"subject":"Phosphate (PO4)"},{"subject":"Radiocarbon (14C)"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"},{"date":"2026-06-01","dateType":"Created"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","relatedIdentifier":"https://cchdo.ucsd.edu/","relatedIdentifierType":"URL"},{"relationType":"IsPartOf","relatedIdentifier":"10.6075/j0ccham8","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["text/plain","application/zip","application/zip","application/zip","application/zip","application/zip","application/zip","application/zip","application/zip","text/csv","application/zip","application/zip","application/zip","application/zip","application/zip"],"version":null,"rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"CCHDO contains hydrographic data collected from research vessels globally. Data are aggregated from science party submissions from programs such as GO-SHIP, WOCE, and CLIVAR aimed at reference-quality data. The data are assembled by cruise into several standard formats (e.g. WHP-Exchange, WOCE, and netCDF), as well as assessed for consistent parameter naming and flags, and known units of measurement. Data are not further quality controlled by CCHDO. \n\nThe primary location of the CCHDO dataset is https://cchdo.ucsd.edu/. Snapshots of the CCHDO data and metadata are being deposited periodically for long-term preservation and access at the UC San Diego Library and are therefore also available through this collection. The most recent snapshot can be accessed at the top of the list of collection items.\n\nData Formats:\nData are available in CF/netCDF, WHP Exchange, COARDS netCDF, and WOCE text formats. CF/netCDF is a netCDF file following the Climate and Forecast metadata conventions available at https://cfconventions.org/, it is specifically using the incomplete multidimensional array representation of profiles defined in section 9.3.2. The WHP Exchange format is a CSV-like format described at https://exchange-format.readthedocs.io/. COARDS netCDF is an older netCDF metadata convention and uses one file per profile. The WOCE text formats, which are defined in Chapter 4 of WOCE Publication 90-1 uses separate formats for discrete and continuous data. Users of WOCE data must also download the Station Summaries, defined in Chapter 3 of WOCE Publication 90-1, for profile time and space information.\n\nFile Names:\nAll the file names in this snapshot have been regularized from what may be available on https://cchdo.ucsd.edu. All file names will start with the expedition identifier called an Expocode followed by an extension that identifies the type of data. Files and data from the same expedition will have the same Expocode. The following is a list of the extensions:\n\n* Bottle\n- CF/netCDF: _bottle.nc\n- WHP Exchange: _hy1.csv\n- COARDS netCDF _nc_hyd_.zip\n- WOCE Text: hy.txt\n* CTD\n- CF/netCDF: _ctd.nc\n- WHP Exchange: _ct1.zip\n- COARDS netCDF _nc_ctd.zip\n- WOCE Text: ct.zip\n* Large Volume\n- WOCE Text: lv.txt\n* Cruise Reports:\n- PDF: do.pdf\n- text: do.txt\n* Station Summaries\n- WOCE Text: su.txt\n\nBottle Data:\nThe bottle data contains data from the analysis of water samples. While most of these data are from samples collected from Niskin bottle closures, it can also include any other discrete sample that was collected on an expedition. These data also typically include the readings from CTD sensors at the time of the bottle closure. For older data, it may also include readings from reversing thermometers. These data are available in all 4 formats.\n\nCTD Data:\nThe CTD data contain in situ readings from instruments that were lowered into the ocean. Typically only the data read while the instrument package was being lowered is included. These data are usually grouped into 1 to 2 decibar pressure bins. Data from the major programs (WOCE, CLIVAR, GO-SHIP, GEOTRACES) will have had the sensors calibrated using data from the bottle samples. These data are available in all 4 formats.\n\nLarge Volume Sample Data:\nEleven expeditions from WOCE reported separate large volume samples. The large volume samples were done almost exclusively for radiocarbon measurements using a device called a Gerard Barrel. Improved analysis techniques eliminated the need for separate large volume sampling so radiocarbon measurements are integrated with the rest of the bottle data. These data are only available in the WOCE text format.\n\nCruise Reports:\nThe cruise reports are narratives of what happened on each expedition. These will include expedition goals, techniques utilized, preliminary data reports, and reports of issues. These reports are often very useful when investigating why some data may look unusual. These reports are available in PDF and text formats. The PDF formats will include figures and images not able to be included with the text versions.\n\nStation Summaries:\nStation summaries contain profile information including longitude, latitude, and times. It will contain one row per event and a single profile may have multiple events. The format is defined by chapter 3 of WOCE Publication 90-1. When using WOCE text formatted CTD, Bottle, or Large Volume sample data, these station summaries must also be downloaded.","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPolygon":[{"polygonPoint":{"pointLatitude":90,"pointLongitude":-180}},{"polygonPoint":{"pointLatitude":90,"pointLongitude":180}},{"polygonPoint":{"pointLatitude":-79,"pointLongitude":180}},{"polygonPoint":{"pointLatitude":-79,"pointLongitude":-180}},{"polygonPoint":{"pointLatitude":90,"pointLongitude":-180}}]}],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/object/bb01525244","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-06-03T22:37:59Z","registered":"2026-06-03T22:38:00Z","published":null,"updated":"2026-06-03T22:38:00Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j00z747j","type":"dois","attributes":{"doi":"10.6075/j00z747j","identifiers":[],"creators":[{"name":"Lankhorst, Matthias","nameType":"Personal","givenName":"Matthias","familyName":"Lankhorst","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"North Atlantic Current Time Series from Satellite and Float Observations"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2025,"subjects":[{"subject":"Geostrophic current"},{"subject":"Argo"},{"subject":"Domain: Earth sciences"},{"subject":"Oceanography"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Altimetry"},{"subject":"Porcupine Abyssal Plain"},{"subject":"North Atlantic Current"},{"subject":"Irminger Sea"}],"contributors":[],"dates":[{"date":"2025","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1016/j.pocean.2020.102402","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[],"descriptions":[{"description":"The North Atlantic Current (NAC) is the continuation of the Gulf Stream on its path towards Europe. Here, a time series of its strength is reported that is calculated from two observational datasets: One is the sea surface height from satellite altimetry, the other consists of watercolumn temperature and salinity profiles from Argo floats. The NAC flow is given as the total volume transport of water in a depth layer defined by pressure ranges of 0 - 1000 dbar, across a section that spans from a site in the Central Irminger Sea (CIS) to another in the Porcupine Abyssal Plain (PAP) area. Uncertainty estimates of the flow are included, as is a proxy time series of longer duration that is estimated from satellite data alone. The methodology is described in a publication by Lankhorst and Send (Progress in Oceanography, 2020); the data here represent an updated version of what is shown in figure 6a of this publication.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/collection/bb8990875b","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":1,"partCount":1,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2025-10-31T20:55:24Z","registered":"2025-10-31T20:55:25Z","published":null,"updated":"2026-05-18T20:54:22Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0hm59fr","type":"dois","attributes":{"doi":"10.6075/j0hm59fr","identifiers":[],"creators":[{"name":"McDaniels-Davidson, Corinne","nameType":"Personal","givenName":"Corinne","familyName":"McDaniels-Davidson","affiliation":[],"nameIdentifiers":[]},{"name":"Doran, Neal","nameType":"Personal","givenName":"Neal","familyName":"Doran","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Cancer Patient Assessment"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2026,"subjects":[{"subject":"Cannabis"},{"subject":"Cancer survivors"},{"subject":"Domain: Health sciences"},{"subject":"Cancer"},{"subject":"Cannabis use"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[],"descriptions":[{"description":"Data were collected between March and June 2022 at a National Cancer Institute (NCI)–Designated Cancer Center in Southern California through an online survey. The intent of the cross-sectional study was to assess cannabis-related knowledge, attitudes, and behaviors among cancer survivors as well as their individual cancer experiences and related symptoms. A total of 5901 patients were invited to participate in the study, and 954 (16.2%) provided responses. A third-party company weighted the final analytic responses to ensure that the sample was representative of the cancer center’s patient population. The weighted sample size was 4807, representing the target population.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/collection/bb1789717h","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":2,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-02-05T17:29:26Z","registered":"2026-02-05T17:29:27Z","published":null,"updated":"2026-05-18T20:25:04Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0sn09zd","type":"dois","attributes":{"doi":"10.6075/j0sn09zd","identifiers":[],"creators":[{"name":"Palmer, Abraham A.","nameType":"Personal","givenName":"Abraham A.","familyName":"Palmer","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Heterogeneous Stock (HS) Rat Genotypes, Version 8. In Genotype data from: NIDA Center for GWAS in Outbred rats"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2026,"subjects":[{"subject":"Genetics"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Norway rat"},{"subject":"Low-Coverage Whole Genome Sequencing (lc-WGS)"},{"subject":"Rattus norvegicus"},{"subject":"Domain: Biomedical and clinical sciences"},{"subject":"Rat"},{"subject":"Domain: Biological sciences"},{"subject":"Imputation"},{"subject":"Domain: Psychology"},{"subject":"Heterogeneous stock (HS) rats"},{"subject":"Genotyping-by-sequencing (GBS)"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"https://scicrunch.org/resolver/RGD_13673907","relatedIdentifierType":"URL"},{"relationType":"References","relatedIdentifier":"10.1534/g3.120.401325","relatedIdentifierType":"DOI"},{"relationType":"IsDerivedFrom","relatedIdentifier":"10.5281/zenodo.10002191","relatedIdentifierType":"DOI"},{"relationType":"References","relatedIdentifierType":"URL"},{"relationType":"IsSupplementTo","relatedIdentifier":"https://scicrunch.org/resolver/RGD_155269102","relatedIdentifierType":"URL"},{"relationType":"IsSupplementTo","relatedIdentifier":"https://scicrunch.org/resolver/RGD_2314009","relatedIdentifierType":"URL"},{"relationType":"IsSupplementTo","relatedIdentifier":"https://www.ncbi.nlm.nih.gov/bioproject/PRJNA487943/","relatedIdentifierType":"URL"},{"relationType":"References","relatedIdentifier":"10.1038/s41597-019-0041-6","relatedIdentifierType":"DOI"},{"relationType":"IsPartOf","relatedIdentifier":"10.6075/j0ks6rqf","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["text/plain","application/pdf","image/jpeg","application/x-gzip","text/csv","text/csv"],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This collection contains genotype data collected as part of the NIDA Center for GWAS in Outbred rats and more than 10 additional research projects that use N/NIH heterogeneous stock (HS) outbred rats. We obtain genotypes for DNA samples derived from rats that are phenotyped by different research projects. We use these genotypes to perform genome wide association studies (GWAS) and a number of related analyses. Data in this release contains genotypes for 27,493 N/NIH heterogeneous stock (HS) outbred rats from the breeding colonies MCW: NMcwi:HS RRID:RGD_2314009, and WFU: NMcwiWFsm:HS RRID:RGD_13673907, the University of California San Diego: RRID: RGD_155269102, the University of Tennessee Health Sciences Center, or Oregon Health and Sciences University.","descriptionType":"Abstract"},{"description":"All software versions used to generate the data in this object are noted below and in the Methods section of the associated publication:\n\nfastx_toolkit 0.0.14\ncutadapt 4.1\nfgbio 1.3.0\nbbDuk 38.94\nBWA 0.7.17\nsamtools 1.14\npicard 2.25.7\nSTITCH 1.6.6\nGATK 4.2.0\nbcftools 1.14\nPLINK 1.9\nPython 3.10\n\nDemultiplexing was performed using fastx_toolkit and fgbio. Barcode, adapter, and quality trimming was performed using cutadapt and bbDuk. Reads were aligned to the Rattus norvegicus genome assembly GRCr8 using BWA. Read mapping was quantified using samtools. SNP genotypes were imputed using STITCH and a reference panel of consensus variants identified from eight HS rat founder strains. Reference panel SNPs were called using GATK. Variants were filtered using bcftools. Quality control was conducted using Python.","descriptionType":"TechnicalInfo"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/object/bb92306134","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":2,"citationCount":0,"partCount":0,"partOfCount":1,"versionCount":0,"versionOfCount":0,"created":"2026-03-23T17:39:41Z","registered":"2026-03-23T17:39:42Z","published":null,"updated":"2026-05-14T22:33:32Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j00p0wx6","type":"dois","attributes":{"doi":"10.6075/j00p0wx6","identifiers":[],"creators":[{"name":"Frossard, Amanda A.","nameType":"Personal","givenName":"Amanda A.","familyName":"Frossard","affiliation":[],"nameIdentifiers":[]},{"name":"Russell, Lynn M.","nameType":"Personal","givenName":"Lynn M.","familyName":"Russell","affiliation":[],"nameIdentifiers":[]},{"name":"Maben, John R.","nameType":"Personal","givenName":"John R.","familyName":"Maben","affiliation":[],"nameIdentifiers":[]},{"name":"Long, Michael S.","nameType":"Personal","givenName":"Michael S.","familyName":"Long","affiliation":[],"nameIdentifiers":[]},{"name":"Keene, William C.","nameType":"Personal","givenName":"William C.","familyName":"Keene","affiliation":[],"nameIdentifiers":[]},{"name":"Reid, Jeffrey S.","nameType":"Personal","givenName":"Jeffrey S.","familyName":"Reid","affiliation":[],"nameIdentifiers":[]},{"name":"Kinsey, Joanna","nameType":"Personal","givenName":"Joanna","familyName":"Kinsey","affiliation":[],"nameIdentifiers":[]},{"name":"Kieber, David J.","nameType":"Personal","givenName":"David J.","familyName":"Kieber","affiliation":[],"nameIdentifiers":[]},{"name":"Quinn, Patricia K.","nameType":"Personal","givenName":"Patricia K.","familyName":"Quinn","affiliation":[],"nameIdentifiers":[]},{"name":"Bates, Timothy S.","nameType":"Personal","givenName":"Timothy S.","familyName":"Bates","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Measurements of Generated and Ambient Marine Aerosol Particles in May and June 2010 on board the R/V Atlantis during the California Nexus (CalNex) Experiment"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2017,"subjects":[{"subject":"Domain: Chemical sciences"},{"subject":"Particulate organic carbon"},{"subject":"Marine aerosol particles"},{"subject":"Pacific Ocean"},{"subject":"Functional group composition"},{"subject":"Primary marine aerosol"},{"subject":"Particle number fluxes"},{"subject":"Organic mass"},{"subject":"Domain: Earth sciences"},{"subject":"Domain: Environmental sciences"},{"subject":"Marine aerosol production"}],"contributors":[],"dates":[{"date":"2017","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsReferencedBy","relatedIdentifier":"10.1038/ngeo2092","relatedIdentifierType":"DOI"},{"relationType":"IsReferencedBy","relatedIdentifier":"10.1002/2014gl059436","relatedIdentifierType":"DOI"},{"relationType":"IsReferencedBy","relatedIdentifier":"10.1002/2017jd026872","relatedIdentifierType":"DOI"},{"relationType":"IsReferencedBy","relatedIdentifier":"10.1002/2016gl068273","relatedIdentifierType":"DOI"},{"relationType":"IsReferencedBy","relatedIdentifier":"10.1002/2014jd021913","relatedIdentifierType":"DOI"},{"relationType":"IsReferencedBy","relatedIdentifier":"10.1021/es3032083","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["application/pdf","image/jpeg","text/plain","application/pdf","image/jpeg","text/plain","application/pdf","image/jpeg","text/plain","application/pdf","image/jpeg","text/plain","application/octet-stream","application/octet-stream","text/plain","application/pdf","image/jpeg","text/plain","application/pdf","image/jpeg","text/plain","application/pdf","image/jpeg","text/plain","application/pdf","image/jpeg"],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Reading data in ICARTT Format (.ict files):\n\nDates and times in file names are in UTC. The date and time in the file name give the date/time at which the data within the file begin. For more information on reading and understanding the data in ICARTT format visit:\n\nhttp://www-air.larc.nasa.gov/missions/etc/IcarttDataFormat.htm\n\nIf you are using Igor Pro, you should be able to use this software to read the files:\n\nhttp://cires1.colorado.edu/jimenez-group/wiki/index.php/Analysis_Software#ICARTT\n\nAlternatively, you can open the .ict files directly using the import data tool in excel.\n\nRaw HDF AMS data can be analyzed with SQUIRREL and PIKA, which are available here on AMS wiki site from CU Boulder:\nhttp://cires1.colorado.edu/jimenez-group/ToFAMSResources/ToFSoftware/index.html","descriptionType":"TechnicalInfo"},{"description":"Measurements of ambient and generated primary marine aerosol particles were collected on board the R/V Atlantis off the coast of California in the eastern Pacific Ocean from 14 May to 7 June 2010. \n\nGenerated primary marine aerosol particles (gPMA) were produced with two model ocean systems, the Bubbler and the Sea Sweep. \n\nSea Sweep Description: \nThe Sea Sweep consisted of a raft deployed over the side of the ship in the ambient seawater. Bubbles were created with stainless-steel diffusion frits at 75 cm below the ocean surface, and the resulting aerosol particles were transported onto the ship for characterization. \n\nBubbler Description:\nModel primary marine aerosol (gPMA) was produced in a high-capacity generator fabricated from Pyrex and Teflon (referred to here as the Bubbler). See Keene et al. [2007] for a detailed description and schematic of the device and Long et al. [2014] for an explanation of modifications implemented for deployment on ships at sea. Briefly, the 20-cm-diameter generator consisted of a 122-cm-deep seawater reservoir underlying a 97-cm-deep atmosphere. Fresh seawater drawn from approximately 5-m depth through the ship’s clean seawater line flowed into the base of the seawater reservoir (typically at 4 L min\u003csup\u003e-1\u003c/sup\u003e) and drained evenly over the top annular rim thereby continuously replacing the seawater surface and minimizing formation of standing bubble rafts. Bubbles were generated by two mechanisms. First, bubble plumes were produced by pumping ultra-pure air through a coarse porosity sintered glass frit (45-mm diameter, 145- to 174-μm pore size) or through 11 fine porosity sintered glass frits (90-mm diameter, 10- to 20-μm pore size) positioned at an average depth of 84 cm below the air-seawater interface, which is within the range of ambient bubble-cloud depths generated by breaking waves on the open-ocean surface. The fine frits were plumbed as two independently regulated sets of 5 and 6 frits each that were positioned at average depths of approximately 60 and 100 cm, respectively. To prevent flooding via backflow of seawater into the bubble-air feed lines, it was necessary to maintain finite positive pressure behind and associated minimal air flow of 0.2 L min\u003csup\u003e-1\u003c/sup\u003e through the course frit and each set of fine frits (total of 0.6 L min\u003csup\u003e-1\u003c/sup\u003e). Second, bubble plumes were also produced by one or two seawater jets at combined flow rates of 1 to 4 L min\u003csup\u003e-1\u003c/sup\u003e that impinged on the air-seawater interface. Jet nozzles were 0.32-cm ID and positioned at 50 cm above the interface. \n\ngPMA were emitted to the headspace of the Bubbler when bubbles rose to and burst at the air-seawater interface. Ultra-pure sweep air flowed through the headspace above the seawater reservoir at 48 to 70 L min\u003csup\u003e-1\u003c/sup\u003e (depending on the combined flow rates required to accommodate different sampling devices). During most sampling periods, sweep air was hydrated to a relative humidity (RH) of 80±2%. The generator (Bubbler) was blank tested by measuring mPMA number concentrations in the headspace at typical flow rates of bubble and sweep air but with no seawater in the reservoir. All blank tests yielded undetectable particle number concentrations (less than 2 cm\u003csup\u003e-3\u003c/sup\u003e) indicating that all particles measured during routine operation originated from seawater. \n\nParticle Number Size Distributions:\nNumber size distributions were measured under different configurations of the system. For some characterizations, a diffusion dryer was mounted in line between the generator and the sizing instruments and, for others, no dryer was mounted in line. In addition, for some characterizations, the scanning electrical mobility spectrometer (SEMS, Brechtel Manufacturing, Inc.) was plumbed to use dry room air as sheath air and, for others, humid sample air was used as sheath air. Finally, for some characterizations, the aerodynamic particle sizer (APS, TSI) was configured with the standard brass inlet and, for others, it was configured with a custom plastic inlet, which helped minimize changes in the temperature and relative humidity of the sample air stream. The combined particle sizes measured ranged from 0.01 to 15 µm in diameter. \n\nParticle Filter Sampling:\nAmbient atmospheric submicron particles were dried using a temperature and humidity controlled inlet that faced into the wind and were sampled on 37 mm Teflon filters. Submicron gPMA from the Sea Sweep dried with a temperature and humidity controlled inlet and bulk, un-dried gPMA from the Bubbler were collected on 37 mm Teflon filters. These samples were frozen and transported to the laboratory for analysis by Fourier transform infrared (FTIR, Bruker Tensor 27) spectroscopy in a temperature and humidity controlled clean room. The gPMA samples were dehydrated prior to final analysis. The FTIR spectrum for each filter was analyzed with an automated algorithm that baselined the spectra. Absorptivity and molar masses were used to convert peak area at specific wavenumbers to mass for the organic functional groups hydroxyl, alkane, amine, carboxylic acid, and carbonyl. The total organic mass (OM) is calculated as the sum of the concentrations of the organic functional groups.\n\nSize-resolved gPMA was sampled from the generator’s head space at 30 L min\u003csup\u003e-1\u003c/sup\u003e with two non-rotating Multi-Orifice Uniform Deposit Impactors (MOUDIs, [Marple et al., 1991]) operated in parallel. Substrates and back filters from one impactor were analyzed for major ions and those for the other impactor were analyzed for water extractable organic carbon (OCwe). The aerodynamic cut diameters for the impactor’s size fractions were 18, 10, 5.6, 3.2, 1.8, 1.0, 0.56, 0.32, and 0.18 µm. Impactors for analysis of ionic constituents were configured with 47-mm diameter polycarbonate substrates (Whatman 111107) and 37-mm diameter quartz backup filters. Impactors for analysis of OCwe were configured with pre-combusted 47-mm diameter aluminum substrates and 37-mm diameter quartz backup filters. \n\nAfter recovery, samples for analysis of major ions were transferred to precleaned 10-ml HDPE tubes, stored frozen, subsequently extracted in 5 mL deionized water (DIW), and analyzed by high-performance ion chromatography (IC) at the University of Virginia (UVA). Samples for analysis of OCwe were transferred to precombusted 10-mL Pyrex centrifuge tubes, extracted immediately after recovery in 5 mL DIW, stored frozen, and analyzed with a Shimadzu Model TOC-V CSH carbon analyzer at the State University of New York (SUNY). Data for gPMA samples were corrected based on median concentrations of analytes measured in dynamic handling blanks (5 impactors each for major ions and OCwe) that were loaded and unloaded during the campaign and subsequently processed and analyzed using procedures identical to those used for samples.\n\nSeawater Sampling:\nSeawater was sampled at the inlet to the generator. Unfiltered seawater for analysis of major ions was sampled in precleaned 10-ml HDPE tubes, stored frozen, and analyzed by IC at UVA. Seawater for analysis of dissolved organic carbon (DOC) was filtered through 0.2 μm Whatman POLYCAP 75 AS cartridge into precombusted 10-mL Pyrex centrifuge tubes, stored frozen, and analyzed with a Shimadzu Model TOC-V CSH carbon analyzer at SUNY.\n\nOther:\nSize distributions of bubbles produced in the Bubbler were determined using computer enhanced camera images taken 2 to 4 cm below the model ocean surface.","descriptionType":"Methods"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/object/bb5702601s","contentUrl":null,"metadataVersion":13,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":6,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2017-03-27T18:17:10Z","registered":"2017-03-27T18:17:12Z","published":null,"updated":"2026-05-14T21:12:25Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j06h4fbv","type":"dois","attributes":{"doi":"10.6075/j06h4fbv","identifiers":[],"creators":[{"name":"Adida, Claire L.","nameType":"Personal","givenName":"Claire L.","familyName":"Adida","affiliation":[],"nameIdentifiers":[]},{"name":"Ferree, Karen E.","nameType":"Personal","givenName":"Karen E.","familyName":"Ferree","affiliation":[],"nameIdentifiers":[]},{"name":"Posner, Daniel N.","nameType":"Personal","givenName":"Daniel N.","familyName":"Posner","affiliation":[],"nameIdentifiers":[]},{"name":"Lea Robinson, Amanda","nameType":"Personal","givenName":"Amanda","familyName":"Lea Robinson","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Data from: Who's Asking? Interviewer Coethnicity Effects in African Survey Data"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2016,"subjects":[{"subject":"Race"},{"subject":"Survey design"},{"subject":"Domain: Human society"},{"subject":"African politics"},{"subject":"Political psychology"},{"subject":"Ethnicity \u0026amp; politics"}],"contributors":[],"dates":[{"date":"2016","dateType":"Issued"},{"date":"2012","dateType":"Collected"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"https://afrobarometer.org/sites/default/files/publications/Working%20papers/afropaperno158.pdf","relatedIdentifierType":"URL"},{"relationType":"IsSupplementTo","relatedIdentifier":"10.1177/0010414016633487","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["application/pdf","image/jpeg","application/octet-stream"],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"STUDY ABSTRACT: Face-to-face interviews constitute a social interaction between interviewer and respondent, and in the African context, social interactions are strongly shaped by ethnicity. Yet research using African survey data typically fails to account for the effect of shared ethnicity on survey responses. We find that respondents give systematically different answers to coethnic and noncoethnic interviewers across surveys in 14 African countries, but with significant variation in the degree of bias across question types and types of noncoethnic dyads, with the largest effects occurring where both the respondent and interviewer are members of ethnic groups with a history of political competition and conflict, and where the respondent or interviewer shares an ethnicity with the head of state. Our findings have practical implications for consumers of African survey data and underscore the context dependence of the social interaction that constitutes the survey experience.","descriptionType":"Abstract"},{"description":"Code and data formatted for Stata 13. ","descriptionType":"TechnicalInfo"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/object/bb9285436q","contentUrl":null,"metadataVersion":7,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":1,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2016-04-25T18:10:05Z","registered":"2016-04-25T18:10:09Z","published":null,"updated":"2026-05-14T20:58:29Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0dr2vrq","type":"dois","attributes":{"doi":"10.6075/j0dr2vrq","identifiers":[],"creators":[{"name":"Poulsen, Cody D.","nameType":"Personal","givenName":"Cody D.","familyName":"Poulsen","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Data from: The 1991 California \"Miracle March\": Precipitation Myth or Miracle?"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2025,"subjects":[{"subject":"Environmental management"},{"subject":"Domain: Earth sciences"},{"subject":"Domain: Environmental sciences"},{"subject":"Monthly precipitation"},{"subject":"Vertically integrated vapor transport (IVT)"},{"subject":"California"},{"subject":"Atmospheric rivers (AR)"},{"subject":"Precipitation extremes"},{"subject":"Western North America"},{"subject":"Daily precipitation"}],"contributors":[],"dates":[{"date":"2025","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1088/2515-7620/add3cc","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["text/plain","application/zip","application/zip","application/zip","application/zip","application/zip"],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This object contains the data and code necessary to reproduce the plots and analysis for \"The 1991 California “Miracle March”: Precipitation Myth or Miracle?\", published in Environmental Research Communications by Poulsen et al. (2025). The gridded precipitation data sets used in this study and included in this collection are from the PRISM Climate Group at Oregon State University. The Livneh daily precipitation data set used for Figure 3 is from NOAA PSL. The geopotential height and wind data are from NCEP/NCAR. The vertically integrated vapor transport (IVT) data set was computed by the Center for Western Weather and Water Extremes (CW3E) using NASA data (MERRA-2). All data is publicly available from the institutions listed, and citations for data sets are located in the \"Data availability statement\" at the end of the manuscript.\n\nIn California, water year 1991 was characterized by heavy precipitation in March, following one of the driest winters on record, lessening the burden of drought entering the dry season. The methods used to analyze the data in this collection can be viewed in the code included (Python and R) and act as a model to work with this data to analyze the climate context and impacts of extreme precipitation events on seasonal totals. All of the data sets in this collection are in the NetCDF file format. The data files and scripts are organized into collection components based on data type and named respectively as Python code, Precipitation data, Geopotential height and wind data, Vertically-integrated water vapor transport (IVT) data, and Figure 3 data. The Readme file provides greater details on the files located in each collection component.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/object/bb4859880v","contentUrl":null,"metadataVersion":5,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":1,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2025-04-30T16:26:40Z","registered":"2025-04-30T16:26:41Z","published":null,"updated":"2026-05-14T17:29:01Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0d79cdx","type":"dois","attributes":{"doi":"10.6075/j0d79cdx","identifiers":[],"creators":[{"name":"Russell, Lynn M.","nameType":"Personal","givenName":"Lynn M.","familyName":"Russell","affiliation":[],"nameIdentifiers":[]},{"name":"Saha, Sourita","nameType":"Personal","givenName":"Sourita","familyName":"Saha","affiliation":[],"nameIdentifiers":[]},{"name":"Thomas, Bryan","nameType":"Personal","givenName":"Bryan","familyName":"Thomas","affiliation":[],"nameIdentifiers":[]},{"name":"Burgener, Ross","nameType":"Personal","givenName":"Ross","familyName":"Burgener","affiliation":[],"nameIdentifiers":[]},{"name":"Thiemens, Mark","nameType":"Personal","givenName":"Mark","familyName":"Thiemens","affiliation":[],"nameIdentifiers":[]},{"name":"Quinn, Patricia","nameType":"Personal","givenName":"Patricia","familyName":"Quinn","affiliation":[],"nameIdentifiers":[]},{"name":"Upchurch, Lucia","nameType":"Personal","givenName":"Lucia","familyName":"Upchurch","affiliation":[],"nameIdentifiers":[]},{"name":"Leaitch, Richard","nameType":"Personal","givenName":"Richard","familyName":"Leaitch","affiliation":[],"nameIdentifiers":[]},{"name":"Andrews, Betsy","nameType":"Personal","givenName":"Betsy","familyName":"Andrews","affiliation":[],"nameIdentifiers":[]},{"name":"Bates, Tim","nameType":"Personal","givenName":"Tim","familyName":"Bates","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Aerosol Size Distribution Measurements at Utqiagvik from 2007 to 2021 (retrospective years) for Sustaining the Utqiagvik Aerosol Record of Decades (STUARD)"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2026,"subjects":[{"subject":"Domain: Environmental sciences"},{"subject":"Domain: Earth sciences"},{"subject":"Particle number size distribution (PNSD)"},{"subject":"Arctic"},{"subject":"Utqiaġvik (Alaska)"},{"subject":"Atmospheric sciences"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsDerivedFrom","relatedIdentifier":"10.5194/amt-5-657-2012","relatedIdentifierType":"DOI"},{"relationType":"IsSupplementTo","relatedIdentifier":"10.6075/j0w66kzf","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["text/plain","application/zip","image/jpeg","text/csv","text/csv","application/zip","image/jpeg","text/csv","text/csv","application/zip","image/jpeg","text/csv","text/csv","application/zip","image/jpeg","image/jpeg","text/csv","text/csv","text/csv","application/zip","image/jpeg","text/csv","text/csv","application/zip","image/jpeg","text/csv","text/csv","text/csv","application/zip","image/jpeg","text/csv","text/csv","application/zip","image/jpeg","text/csv","application/zip","text/csv","application/zip","image/jpeg","image/jpeg","text/csv","text/csv"],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"The Arctic is warming faster than any other place on Earth, with sea ice declining rapidly and sources of sea spray and biogenic aerosol emissions changing by consequence. Utqiagvik is at the forefront of this change, abutting one of the largest areas of sea ice loss. This change will have far-reaching impacts to both the environment and the community. Because this change has happened largely in the last decade, now is an important time to both document that change and to continue a data record that will allow for a characterization of the New Arctic, as climate is already altering the Arctic landscape forever. The longest and most complete record of aerosol properties in the American Arctic is that of Utqiagvik, making this unique location serve as a regional record of changes in atmospheric aerosol properties. This dataset includes aerosol particle number size distribution measurements (Freud et al., 2017) collected intermittently between 2007-2021.","descriptionType":"Abstract"},{"description":"Differential Mobility Analyser (DMA) data.\n\nSoftware used: Labview, Matlab R2023a\n\nInstrument used: Mobility Particle Size Spectrometer (MPSS)\n\nRaw number concentration data have been inverted using a Labview program provided by TROPOS, Germany (A. Wiedensohler et al., 2012). Particle losses in the whole Direct Memory Access (DMA) system including the inlet system have been corrected for in the inversion process (Hinds, 1982). The lengths and flow rates of the different parts of the system from the inlet has been given in the table below.\n\nFrom head down to splitter 1.82m (meter) 160lpm (liter per minute)\n\nSplitter to horizontal stainless steel 2.02m 30lpm\n\nBlack tube from MPSS pick off to capillary 0.86m 1lpm\n\nInside DMA (Vienna medium) 4.6m 1lpm\n\nWhole MPSS system 2.45m 1lpm\n\nAs a next step, the inverted data (.in2) have been removed when flags for the following parameters were 1. The flags are turned on 1 for the following reasons.\n\n• Low Vacuum: flow is too low because the differential pressure (dP) across the critical orifice is not high enough. this is equivalent to the flow light on the instrument being off because the proper flow conditions are not achieved\n\n• CPC High: if CN is greater than 4000 per cubic centimeter (cc)\n\n• CPC Spike: If particle concentration measurement exceeds the last 30- minute average by a factor of 2.5 or more\n\n• Mentor: fix/maintain some issues with the instrument\n\n• Wind Speed: Low wind speed less than 0.5 meter per second (m/s)\n\n• Wind Direction: wind coming from out of sector (130-360 degrees (deg))\n\n• Instrument Not Ready\n\nThe DMA measured aerosols varying in diameter from 8-800 nanometer (nm). Each measurement time is about 5 minutes. After the contamination and instrument flags have been applied to size distribution data, one-hour averaged month-wise data have been stored in a tabular form for further analysis.","descriptionType":"Methods"}],"geoLocations":[{"geoLocationPoint":{"pointLatitude":71.29,"pointLongitude":-156.78}}],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/object/bb65005433","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-05-06T21:55:33Z","registered":"2026-05-06T21:55:34Z","published":null,"updated":"2026-05-08T17:20:39Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0w66kzf","type":"dois","attributes":{"doi":"10.6075/j0w66kzf","identifiers":[],"creators":[{"name":"Russell, Lynn M.","nameType":"Personal","givenName":"Lynn M.","familyName":"Russell","affiliation":[],"nameIdentifiers":[]},{"name":"Saha, Sourita","nameType":"Personal","givenName":"Sourita","familyName":"Saha","affiliation":[],"nameIdentifiers":[]},{"name":"Thomas, Bryan","nameType":"Personal","givenName":"Bryan","familyName":"Thomas","affiliation":[],"nameIdentifiers":[]},{"name":"Burgener, Ross","nameType":"Personal","givenName":"Ross","familyName":"Burgener","affiliation":[],"nameIdentifiers":[]},{"name":"Andrews, Elizabeth","nameType":"Personal","givenName":"Elizabeth","familyName":"Andrews","affiliation":[],"nameIdentifiers":[]},{"name":"Thiemens, Mark H.","nameType":"Personal","givenName":"Mark H.","familyName":"Thiemens","affiliation":[],"nameIdentifiers":[]},{"name":"Quinn, Patricia","nameType":"Personal","givenName":"Patricia","familyName":"Quinn","affiliation":[],"nameIdentifiers":[]},{"name":"Upchurch, Lucia","nameType":"Personal","givenName":"Lucia","familyName":"Upchurch","affiliation":[],"nameIdentifiers":[]},{"name":"Leaitch, W. Richard","nameType":"Personal","givenName":"W. Richard","familyName":"Leaitch","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Aerosol Measurements at Utqiagvik, Alaska, from 2022 to 2027 for Sustaining The Utqiagvik Aerosol Record of Decades (STUARD)"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2024,"subjects":[{"subject":"Barrow (Alaska)"},{"subject":"Particle number size distribution (PNSD)"},{"subject":"Climate change science"},{"subject":"Arctic regions"},{"subject":"Domain: Environmental sciences"},{"subject":"Differential mobility analyzer (DMA)"},{"subject":"Cloud condensation nuclei (CCN)"},{"subject":"Utqiaġvik (Alaska)"},{"subject":"Aerosols"},{"subject":"Domain: Biological sciences"},{"subject":"Submicron aerosol organic and inorganic composition"},{"subject":"Sulfur isotopes"},{"subject":"Domain: Earth sciences"},{"subject":"Atmospheric sciences"}],"contributors":[],"dates":[{"date":"2024","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsDescribedBy","relatedIdentifier":"10.1029/2010jd015178","relatedIdentifierType":"DOI"},{"relationType":"IsSupplementTo","relatedIdentifier":"10.6075/j0d79cdx","relatedIdentifierType":"DOI"},{"relationType":"IsDescribedBy","relatedIdentifier":"10.5194/amt-5-657-2012","relatedIdentifierType":"DOI"},{"relationType":"IsDescribedBy","relatedIdentifier":"10.1029/2010gl042831","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[],"descriptions":[{"description":"The Arctic is warming faster than any other place on Earth, with sea ice declining rapidly and sources of sea spray and biogenic aerosol emissions changing by consequence. Utqiagvik is at the forefront of this change, abutting one of the largest areas of sea ice loss. This change will have far-reaching impacts to both the environment and the community. Because this change has happened largely in the last decade, now is an important time to both document that change and to continue a data record that will allow for a characterization of the New Arctic, as climate is already altering the Arctic landscape forever. The longest and most complete record of aerosol properties in the American Arctic is that of Utqiagvik, making this unique location serve as a regional record of changes in atmospheric aerosol properties. This dataset will extend the baseline measurements of this Arctic aerosol record, including and continuing the 15-year record of submicron inorganic components (Quinn et al., 2009; Quinn et al., 2002), re-instituting the 2-year record of organic components collected a decade ago (Frossard et al., 2011; Shaw et al., 2010), enhancing the chemical analysis with sulfur isotopes to improve interpretation of emission sources (Kunasek et al., 2010; Thiemens \u0026amp; Lin, 2019), continuing particle number size distribution measurements (Freud et al., 2017), and re-starting cloud condensation nuclei measurements (Schmale, Henning, et al., 2018).","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/collection/bb2776668p","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":1,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2024-03-28T22:57:01Z","registered":"2024-03-28T22:57:02Z","published":null,"updated":"2026-05-08T17:20:00Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j090244f","type":"dois","attributes":{"doi":"10.6075/j090244f","identifiers":[],"creators":[{"name":"UC San Diego Academic Senate Campus Committee on Climate Change","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Academic Senate Resolution on Public Disclosure of External Funding. In Green New Deal at UC San Diego"}],"publisher":"UC San Diego Library Digital Collections","container":{"type":"DataRepository","identifier":"https://doi.org/10.6075/J0736R8M","identifierType":"DOI"},"publicationYear":2024,"subjects":[{"subject":"Financial disclosure policy"},{"subject":"Conflict of interest policy"},{"subject":"Fossil-free research"},{"subject":"Climate Action Policy, University of California"}],"contributors":[],"dates":[{"date":"2024-04-16","dateType":"Created"},{"date":"2024","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPartOf","relatedIdentifier":"10.6075/j0736r8m","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["application/pdf","image/jpeg"],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"UC San Diego Committee on Campus Climate Change Resolution on Public Disclosure of External Funding, as passed by the Academic Senate on April 16th 2023.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/object/bb1036722v","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":1,"versionCount":0,"versionOfCount":0,"created":"2024-09-10T04:02:16Z","registered":"2024-09-10T04:02:17Z","published":null,"updated":"2026-05-06T21:53:25Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0j10446","type":"dois","attributes":{"doi":"10.6075/j0j10446","identifiers":[],"creators":[{"name":"Vava'u Ocean Initiative","affiliation":[],"nameIdentifiers":[]},{"name":"Government of Tonga","affiliation":[],"nameIdentifiers":[]},{"name":"Vava'u Environmental Protection Association","affiliation":[],"nameIdentifiers":[]},{"name":"Waitt Institute","affiliation":[],"nameIdentifiers":[]},{"name":"Sandin Lab, Scripps Institution of Oceanography","nameType":"Personal","givenName":"Scripps Institution of Oceanography","familyName":"Sandin Lab","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Vava'u Ocean Initiative"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2026,"subjects":[{"subject":"Ha'apai (Tonga)"},{"subject":"Tonga"},{"subject":"Tongatapu (Tonga)"},{"subject":"Vava‘u (Tonga)"},{"subject":"Coral reef"},{"subject":"Corals"},{"subject":"Domain: Biological sciences"},{"subject":"Domain: Earth sciences"},{"subject":"Large-area imagery"},{"subject":"Photogrammetry"},{"subject":"Subtidal"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"https://www.waittinstitute.org/_files/ugd/bfe600_a52ffa58bf15453ca6119badccb03761.pdf","relatedIdentifierType":"URL"},{"relationType":"IsPartOf","relatedIdentifier":"10.6075/j0dv1hdr","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[],"descriptions":[{"description":"The Vava’u Ocean Initiative (VOI) is a partnership between the Government of Tonga, namely the Department of Environment (MEIDECC), Ministry of Fisheries and Ministry of Lands and Natural Resources, Waitt Institute and Vava'u Environmental Protection Association (VEPA) to strengthen and further develop sustainable ocean management programs in Tonga.\r\n\r\nIncluded in this collection are large-area image datasets collected across Tonga used to understand the benthic reef community in support of the Government of Tonga's effort to sustainably manage their ocean. This data was collected in partnership with the Government of Tonga, the Waitt Institute, and the Sandin Lab at Scripps Institution of Oceanography to support science-based sustainable ocean management.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/collection/bb2200087k","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-05-05T21:28:54Z","registered":"2026-05-05T21:28:55Z","published":null,"updated":"2026-05-05T21:28:55Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0f76dj9","type":"dois","attributes":{"doi":"10.6075/j0f76dj9","identifiers":[],"creators":[{"name":"Samoa Ocean Strategy","affiliation":[],"nameIdentifiers":[]},{"name":"Independent State of Samoa","affiliation":[],"nameIdentifiers":[]},{"name":"Conservation International","affiliation":[],"nameIdentifiers":[]},{"name":"Waitt Institute","affiliation":[],"nameIdentifiers":[]},{"name":"Sandin Lab, Scripps Institution of Oceanography","nameType":"Personal","givenName":"Scripps Institution of Oceanography","familyName":"Sandin Lab","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Samoa Ocean Strategy"}],"publisher":"UC San Diego Library Digital Collections","container":{},"publicationYear":2026,"subjects":[{"subject":"Algae"},{"subject":"Coral bleaching"},{"subject":"Coral reef"},{"subject":"Corals"},{"subject":"Domain: Biological sciences"},{"subject":"Domain: Earth sciences"},{"subject":"Ecology"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Fish"},{"subject":"Large-area imagery"},{"subject":"Nearshore"},{"subject":"Photogrammetry"},{"subject":"Subtidal"}],"contributors":[],"dates":[{"date":"2026","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"https://93fb4179-c6bb-4f5c-9c8c-ef4e52305974.filesusr.com/ugd/9b5940_be94c0cb44e84927ba83e14c220bd116.pdf","relatedIdentifierType":"URL"},{"relationType":"IsPartOf","relatedIdentifier":"10.6075/j0dv1hdr","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[],"descriptions":[{"description":"The Samoa Ocean Strategy (SOS) is a national policy framework that seeks to sustainably manage Samoa's vast ocean and marine resources. The SOS provides integrated ocean management solutions like marine spatial planning, sustainable fisheries management, and development of Samoa's Blue Economy that will advance ocean stewardship and ensure the cultural and economic values that Samoans derive from the ocean are preserved for generations to come.\r\n\r\nIncluded in this collection are large-area image datasets collected across Samoa used to understand the benthic reef community in support of the Samoa Ocean Strategy. This data was collected in partnership with the Government of Samoa, the Waitt Institute, and the Sandin Lab at Scripps Institution of Oceanography to support scienced-based sustainable ocean management.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"url":"https://library.ucsd.edu/dc/collection/bb8275053n","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2026-04-22T23:38:01Z","registered":"2026-04-22T23:38:02Z","published":null,"updated":"2026-05-05T21:27:34Z"},"relationships":{"client":{"data":{"id":"cdl.ucsd","type":"clients"}}}},{"id":"10.6075/j0ns0vw8","type":"dois","attributes":{"doi":"10.6075/j0ns0vw8","identifiers":[],"creators":[{"name":"Vava'u Ocean Initiative","affiliation":[],"nameIdentifiers":[]},{"name":"Government of Tonga","affiliation":[],"nameIdentifiers":[]},{"name":"Vava'u Environmental Protection Association","affiliation":[],"nameIdentifiers":[]},{"name":"Waitt Institute","affiliation":[],"nameIdentifiers":[]},{"name":"Sandin Lab, Scripps Institution of Oceanography","nameType":"Personal","givenName":"Scripps Institution of Oceanography","familyName":"Sandin Lab","affiliation":[],"nameIdentifiers":[]}],"titles":[{"lang":"en-US","title":"Tonga 2022-08 (Expedition) - Vava‘u (Island) - Raw Images. 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