{"data":[{"id":"10.48550/arxiv.2403.06025","type":"dois","attributes":{"doi":"10.48550/arxiv.2403.06025","identifiers":[{"identifier":"2403.06025","identifierType":"arXiv"}],"creators":[{"nameType":"Personal","givenName":"Wei","familyName":"Chen","name":"Chen, Wei","affiliation":[],"nameIdentifiers":[]},{"nameType":"Personal","givenName":"Yunan","familyName":"Li","name":"Li, Yunan","affiliation":[],"nameIdentifiers":[]},{"nameType":"Personal","givenName":"Yuan","familyName":"Tian","name":"Tian, Yuan","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"CarbonNet: How Computer Vision Plays a Role in Climate Change? Application: Learning Geomechanics from Subsurface Geometry of CCS to Mitigate Global Warming"}],"publisher":"arXiv","container":{},"publicationYear":2024,"subjects":[{"subject":"Computer Vision and Pattern Recognition (cs.CV)","lang":"en","subjectScheme":"arXiv"},{"subject":"Artificial Intelligence (cs.AI)","lang":"en","subjectScheme":"arXiv"},{"subject":"FOS: Computer and information sciences","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2024-03-09T22:25:14Z","dateType":"Submitted","dateInformation":"v1"},{"date":"2024-03-12T00:39:15Z","dateType":"Updated","dateInformation":"v1"},{"date":"2024-03-12T17:35:29Z","dateType":"Submitted","dateInformation":"v2"},{"date":"2024-03-13T01:03:32Z","dateType":"Updated","dateInformation":"v2"},{"date":"2024-03-19T05:58:51Z","dateType":"Submitted","dateInformation":"v3"},{"date":"2024-03-20T00:36:30Z","dateType":"Updated","dateInformation":"v3"},{"date":"2026-07-20T02:28:29Z","dateType":"Submitted","dateInformation":"v4"},{"date":"2026-07-21T01:12:08Z","dateType":"Updated","dateInformation":"v4"},{"date":"2024-03","dateType":"Available","dateInformation":"v1"}],"language":null,"types":{"schemaOrg":"CreativeWork","resourceTypeGeneral":"Preprint","citeproc":"article","bibtex":"misc","ris":"GEN","resourceType":"Article"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":[],"version":"4","rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"We introduce a new approach using computer vision to predict the land surface displacement from subsurface geometry images for Carbon Capture and Sequestration (CCS). CCS has been proved to be a key component for a carbon neutral society. However, scientists see there are challenges along the way including the high computational cost due to the large model scale and limitations to generalize a pre-trained model with complex physics. We tackle those challenges by training models directly from the subsurface geometry images. The goal is to understand the respons of land surface displacement due to carbon injection and utilize our trained models to inform decision making in CCS projects.\n We implement multiple models (CNN, ResNet, and ResNetUNet) for static mechanics problem, which is a image prediction problem. Next, we use the LSTM and transformer for transient mechanics scenario, which is a video prediction problem. It shows ResNetUNet outperforms the others thanks to its architecture in static mechanics problem, and LSTM shows comparable performance to transformer in transient problem. This report proceeds by outlining our dataset in detail followed by model descriptions in method section. Result and discussion state the key learning, observations, and conclusion with future work rounds out the paper."}],"geoLocations":[],"fundingReferences":[],"url":"https://arxiv.org/abs/2403.06025","contentUrl":null,"metadataVersion":2,"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":"2024-03-12T02:49:35Z","registered":"2024-03-12T02:49:35Z","published":null,"updated":"2026-07-21T03:38:06Z"},"relationships":{"client":{"data":{"id":"arxiv.content","type":"clients"}}}},{"id":"10.17605/osf.io/7ghvn","type":"dois","attributes":{"doi":"10.17605/osf.io/7ghvn","identifiers":[{"identifier":"https://osf.io/7ghvn","identifierType":"URL"}],"creators":[{"nameType":"Personal","name":"Mark Lyster Semortin","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-6045-2031"},{"nameIdentifierScheme":"URL","nameIdentifier":"https://osf.io/2upng"}],"affiliation":[]},{"nameType":"Personal","name":"Yammie P. Daud","nameIdentifiers":[{"nameIdentifierScheme":"URL","nameIdentifier":"https://osf.io/94wz2"}],"affiliation":[]},{"nameType":"Personal","name":"Jesseca C. Sanjorjo","nameIdentifiers":[{"nameIdentifierScheme":"URL","nameIdentifier":"https://osf.io/a784r"}],"affiliation":[]}],"titles":[{"title":"Integrating Indigenous Peoples' Knowledge into Local Climate Change Action Plans: A PRISMA-Guided Systematic Review Protocol (Phase 1 of a Qualitative Sequential Multi-Method Study)"}],"publisher":"OSF Registries","container":{},"publicationYear":2026,"subjects":[{"subject":"Public Affairs, Public Policy and Public Administration","subjectScheme":"bepress Digital Commons Three-Tiered Taxonomy"},{"subject":"Environmental Studies","subjectScheme":"bepress Digital Commons Three-Tiered Taxonomy"},{"subject":"Social and Behavioral Sciences","subjectScheme":"bepress Digital Commons Three-Tiered Taxonomy"}],"contributors":[{"nameType":"Organizational","name":"Center for Open Science","nameIdentifiers":[{"nameIdentifierScheme":"URL","nameIdentifier":"https://cos.io/"},{"nameIdentifierScheme":"ROR","schemeUri":"https://ror.org","nameIdentifier":"https://ror.org/05d5mza29"}],"contributorType":"HostingInstitution","affiliation":[]}],"dates":[{"date":"2026-07-20","dateType":"Created"},{"date":"2026-07-20","dateType":"Updated"}],"language":null,"types":{"schemaOrg":"CreativeWork","resourceTypeGeneral":"StudyRegistration","citeproc":"article","bibtex":"misc","ris":"GEN","resourceType":"Pre-registration"},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"https://osf.io/qc8yk","relatedIdentifierType":"URL"}],"relatedItems":[{"relationType":"IsVersionOf","relatedItemIdentifier":{"relatedItemIdentifier":"https://osf.io/qc8yk","relatedItemIdentifierType":"URL"},"relatedItemType":"Text","creators":[],"publisher":"OSF","publicationYear":"2026","titles":[{"title":"Integrating Indigenous Peoples' Knowledge into Local Climate Change Action Plans: A PRISMA-Guided Systematic Review Protocol (Phase 1 of a Qualitative Sequential Multi-Method Study)"}],"contributors":[]}],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Zero v1.0 Universal","rightsIdentifier":"cc0-1.0"}],"descriptions":[{"descriptionType":"Abstract","description":"This project registers the protocol for Phase 1 of a qualitative sequential multi-method study examining how Indigenous Peoples' (IP) ecological knowledge is integrated into Local Climate Change Action Plans (LCCAPs) in the Philippines. Indigenous ecological knowledge (IEK) — the cumulative, place-based body of observations, practices, and beliefs through which indigenous communities read and respond to their environment — has long sustained community resilience through practices such as terracing, planting and farming calendars, water conservation, forest and land stewardship, and indigenous early-warning systems. Yet Philippine local climate governance rarely embeds this knowledge in formal planning instruments, despite a legal architecture (the Climate Change Act, RA 9729, and the Indigenous Peoples' Rights Act, RA 8371) that mandates both LCCAP formulation and the recognition of indigenous rights and knowledge.\n\nThe purpose of this systematic review is to synthesize the existing Philippine, Southeast Asian, and transferable global evidence on IEK and its integration into climate change adaptation and local governance. It addresses three questions: (1) what the accumulated literature establishes about IEK as a system for climate adaptation and resilience; (2) what barriers and enablers govern the integration of IEK into formal policy, governance, and planning; and (3) what recommendations the evidence base offers for embedding IEK into local climate action planning. Phase 1 is designed to be generative rather than terminal: the analytical themes, barriers, enablers, and recommendations it produces become the sensitizing concepts for a subsequent Phase 2 documentary analysis (following Bowen, 2009) of officially enacted LCCAPs in local government units with documented indigenous presence.\n\nThe review is conducted and reported in accordance with the PRISMA 2020 statement. Eligibility is defined through an adapted PICO framework: the Population comprises documented indigenous communities in the Philippines and Southeast Asia; the Intervention/Phenomenon is indigenous ecological knowledge and indigenous climate-adaptation practice; the Context is climate change, adaptation, environmental resilience, or disaster risk reduction; and the Outcome is knowledge integration into policy, governance, or planning, together with resilience outcomes and the barriers or enablers thereto. Eligible studies are qualitative, mixed-method, case-study, ethnographic, action-research, policy-analysis, and review designs published from 2005 onward in English or Filipino, prioritising the Philippines, then Southeast Asia, then transferable global work. Searches span major international databases (Scopus, Web of Science, PubMed/MEDLINE, ScienceDirect, ERIC, JSTOR, Google Scholar) and Philippine-specific indices (HERDIN Plus, CHED Open Access, NCIP publications), supplemented by backward and forward citation searching and targeted grey-literature retrieval. Records are deduplicated and screened at title/abstract by two independent reviewers with a third arbitrating disagreements; full-text eligibility is assessed against the same criteria, with every exclusion logged with a specific reason. Included studies are quality-appraised using the CASP qualitative checklist — including an explicit check on whether the IP community was an active participant and on FPIC/ethical conduct — and synthesized using Thomas and Harden's thematic synthesis within Braun and Clarke's analytical sequence.\n\nThe expected outcomes are: a transparent, PRISMA-compliant account of the evidence base on IEK and climate governance; a set of higher-order analytical themes describing IEK as a valid, living climate-intelligence system and the structural conditions that keep it institutionally invisible; an evidence-grounded inventory of barriers and enablers to integration; and a foundation for a cause-to-remedy framework and a scoring rubric that repositions Indigenous Peoples from census statistics and project beneficiaries to knowledge-holding governance partners. The wider study aims to contribute a diagnostic, policy-defensible pathway for embedding IEK into LCCAP formulation, monitoring, and evaluation, and to inform national guidance on indigenous participation and Free, Prior and Informed Consent in local climate planning.\n\nTransparency note: this protocol is registered retrospectively. Because the review is one phase of a time-bound multi-phase study, title/abstract and full-text screening had commenced before deposition. To preserve auditability, the eligibility criteria, search strings, and complete screening-and-exclusion log were fixed in the working protocol prior to synthesis and were not revised to fit emerging results; these materials are available in the associated project files."}],"geoLocations":[],"fundingReferences":[],"url":"https://osf.io/7ghvn/","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":"2026-07-21T02:14:58Z","registered":"2026-07-21T02:14:59Z","published":null,"updated":"2026-07-21T02:15:01Z"},"relationships":{"client":{"data":{"id":"cos.osf","type":"clients"}}}},{"id":"10.5281/zenodo.21448263","type":"dois","attributes":{"doi":"10.5281/zenodo.21448263","identifiers":[{"identifier":"3068-109X","identifierType":"ISSN"},{"identifier":"3068-1995","identifierType":"ISSN"}],"creators":[{"nameType":"Personal","familyName":"Basen Hansda","name":"Basen Hansda","nameIdentifiers":[],"affiliation":[]},{"nameType":"Personal","familyName":"Dr. Babita Das","name":"Dr. Babita Das","nameIdentifiers":[],"affiliation":[]}],"titles":[{"title":"Assessing the Impact of Climate Change on Agriculture and Food Security Among the Juang Tribe in Kendujhar District, Odisha"}],"publisher":"IORO Publications","container":{},"publicationYear":2026,"subjects":[{"subject":"Climate Change"},{"subject":"Keywords: tribe"},{"subject":"agriculture"},{"subject":"food security"},{"subject":"International Journal of Technology and Emerging Research"},{"subject":"ijter"}],"contributors":[],"dates":[{"date":"2026-04-21","dateType":"Issued"}],"language":"en","types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"JournalArticle","citeproc":"article-journal","bibtex":"article","ris":"JOUR","resourceType":""},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","relatedIdentifier":"https://ioro.org/ijter/article/212604207979/212604207979","relatedIdentifierType":"URL"},{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.21448263","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Preservation copy of an article published in International Journal of Technology and Emerging Research. Read the full article: https://ioro.org/ijter/article/212604207979/212604207979.\n\nAbstract:\nThis study inspects the impact of climate change on agriculture and food security among the Juang tribe in Kendujhar district of Odisha. The Juang Tribe is recognised as a Particularly Vulnerable Tribal Group (PVTG) and habitually depends on agriculture, forest resources, and cyclical labour for its livelihood. However, in recent years, climate change has meaningfully impacted their agricultural practices, crop productivity, and overall livelihood safety. Irregular rainfall patterns, increasing temperatures, and recurrent droughts have created serious challenges for traditional agriculture systems in the region. The main aims of this study are to understand the tribal community in the Panasanasa village, which is occupied by the Juang tribe, and to study their socio-economic and agricultural conditions in the context of changing climatic situations. The study also aims to find the various types of agriculture practised by the Juang people, including maintenance farming, shifting farming, and small-scale crop production. Another important objective is to analyse the economic disorder of tribal households and to recognize how climate change has influenced their income sources, agricultural productivity, and livelihood constancy. Furthermore, the study seeks to assess the level of food security among the Juang community and to explore how environmental changes affect their access to appropriate and nutritious food. This study is descriptive and systematically based on the examination of research questions. The study depends on field-based observations, interviews, and the collection of primary data from Panasanasa Juang villages in Kendujhar district. The results are expected to provide insights into the relationships among climate change, agriculture, and food security among tribal communities, and to highlight the necessity for sustainable agricultural practices, climate variation strategies, and helpful government policies."},{"descriptionType":"Other","description":"© 2026 The Author(s). Published by IORO Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original author and source are credited, a link to the license is provided, and any changes are indicated."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.21448263","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":2,"versionOfCount":1,"created":"2026-07-20T03:15:50Z","registered":"2026-07-20T03:15:50Z","published":null,"updated":"2026-07-21T01:27:03Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.26192/q1yx0","type":"dois","attributes":{"doi":"10.26192/q1yx0","identifiers":[{"identifier":"1048z3","identifierType":"HaploRef"}],"creators":[{"givenName":"M. H.","familyName":"Macfarlane","name":"Macfarlane, Mark Hugh","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"A simplified qualitative scale for assessing and communicating climate change impacts"}],"publisher":"University of Southern Queensland","container":{},"publicationYear":2013,"subjects":[{"subject":"climate change; impact; assessing; assessment; measuring; measurement; simplified qualitative scale; climate impacts scale; South Pacific Island States"}],"contributors":[],"dates":[],"language":null,"types":{"schemaOrg":"ScholarlyArticle","resourceTypeGeneral":"Text","citeproc":"article-journal","bibtex":"article","ris":"RPRT","resourceType":"Masters Thesis"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[],"descriptions":[{"descriptionType":"Abstract","description":"This thesis reports that a simple qualitative scale for assessing and communicating climate change impacts can be applied effectively to assess climate change impact to a region. The results presented on this simple scale could improve clarity in communication of climate change to the public.\r\n\r\nThe study identifies different approaches to modelling various natural event variables and different climate change indexes. It concludes that there is currently no available simplified scale for assessing and measuring current climate change impacts. The thesis makes a case for the inadequacy of these approaches, as they either do not measure climate change impacts or they are too complex. Accordingly, this research presents a simplified qualitative scale for assessing and communicating climate change impacts.\r\n\r\nThe scale was designed on existing scale frameworks contained within the Australian Risk Management Standard and other scaling methods. The scale was distributed to 20 Pacific nations as part of a climate change impact survey. Participants used the scale to assess the impact of climate change across a number of sub-systems including terrestrial and marine, water, tourism, socio economic, culture, health, food and agriculture and meteorological. The survey successfully elicited assessments of the different climate change impacts evident across the Pacific Island nation states. The results are presented in graphic and tabular form which provides a readily accessible appreciation of the different impacts of climate change. This in itself demonstrates the merits of constructing a scale. The assessment results indicate that there is currently a moderate to severe impact from climate change across the Pacific region."}],"geoLocations":[],"fundingReferences":[],"url":"https://research.usq.edu.au/item/1048z3/a-simplified-qualitative-scale-for-assessing-and-communicating-climate-change-impacts","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":"2026-07-20T23:47:26Z","registered":"2026-07-20T23:47:28Z","published":null,"updated":"2026-07-20T23:47:33Z"},"relationships":{"client":{"data":{"id":"ardcx.usq","type":"clients"}}}},{"id":"10.5281/zenodo.21460808","type":"dois","attributes":{"doi":"10.5281/zenodo.21460808","identifiers":[{"identifier":"oai:zenodo.org:21460808","identifierType":"oai"},{"identifier":"1848645","identifierType":"Other"}],"creators":[{"nameType":"Personal","affiliation":["Institut National de la Recherche Agronomique de Tunisie","Institut National de la Recherche Agronomique de Tunisie Laboratoire Economie Rurale, Tunis, Tunisia"],"givenName":"Anissa","familyName":"GARA","name":"GARA, Anissa","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0009-0009-9044-5305"}]},{"nameType":"Personal","affiliation":["Université de Versailles Saint-Quentin-en-Yvelines","Akdeniz University","Université de Parakou"],"givenName":"Eriola Marius Charlot","familyName":"ADENIDJI","name":"ADENIDJI, Eriola Marius Charlot","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0001-9483-250X"}]},{"nameType":"Personal","affiliation":["Institut National de la Recherche Agronomique de Tunisie","Institut National de la Recherche Agronomique de Tunisie Laboratoire Economie Rurale, Tunis, Tunisia"],"givenName":"Nadia","familyName":"Ounalli","name":"Ounalli, Nadia","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0002-1546-5244"}]},{"nameType":"Personal","affiliation":["Institut National de la Recherche Agronomique de Tunisie"],"givenName":"Mondher","familyName":"Ben Salem","name":"Ben Salem, Mondher","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0001-6409-9896"}]}],"titles":[{"title":"Social Network Structure and Climate Change Adaptation Information Diffusion among Dairy Farmers: Evidence from Northern Tunisia"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[],"contributors":[],"dates":[{"date":"2026-07-20","dateType":"Issued"},{"date":"2026-07-20","dateType":"Copyrighted","dateInformation":"This work is copyrighted. It is shared to ensure reproducibility of the research. Please cite this record when reusing any part of it."}],"language":null,"types":{"schemaOrg":"Dataset","resourceTypeGeneral":"Dataset","citeproc":"dataset","bibtex":"misc","ris":"DATA","resourceType":""},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.21460807","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"1","rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Climate adaptation information network of 239 dairy farmers in Bizerte Governorate, northern Tunisia. Reconstructed from structured interviews with 60 egos using a name-generator protocol (274 directed ties, 179 non-interviewed alters).\n\nFiles: Edge_List (network), Ego_Attributes , Zone_Assignment, Dictionary,\n\nDataset: Only variables required to replicate published results (Tables 1–10, Figures 1–6) are included.  adaptation-information items and four technology-utility items were collected; only those with significant/marginal associations with brokerage position are reported in the manuscript. \n\nReplication: R 4.4.2 (igraph 2.3.0, poweRlaw), seed 123. Code available upon request.\n\nAssociated publication:  Gara et al., Frontiers in Climate — Climate Adaptation (in press), Manuscript ID 1848645.\n\nEthics: Verbal informed consent obtained under Tunisian social science research regulations. Node identifiers (MK###) are anonymised."}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.21460808","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-07-20T21:01:44Z","registered":"2026-07-20T21:01:44Z","published":null,"updated":"2026-07-20T23:25:10Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.21460807","type":"dois","attributes":{"doi":"10.5281/zenodo.21460807","identifiers":[{"identifier":"1848645","identifierType":"Other"}],"creators":[{"nameType":"Personal","affiliation":["Institut National de la Recherche Agronomique de Tunisie","Institut National de la Recherche Agronomique de Tunisie Laboratoire Economie Rurale, Tunis, Tunisia"],"givenName":"Anissa","familyName":"GARA","name":"GARA, Anissa","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0009-0009-9044-5305"}]},{"nameType":"Personal","affiliation":["Université de Versailles Saint-Quentin-en-Yvelines","Akdeniz University","Université de Parakou"],"givenName":"Eriola Marius Charlot","familyName":"ADENIDJI","name":"ADENIDJI, Eriola Marius Charlot","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0001-9483-250X"}]},{"nameType":"Personal","affiliation":["Institut National de la Recherche Agronomique de Tunisie","Institut National de la Recherche Agronomique de Tunisie Laboratoire Economie Rurale, Tunis, Tunisia"],"givenName":"Nadia","familyName":"Ounalli","name":"Ounalli, Nadia","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0002-1546-5244"}]},{"nameType":"Personal","affiliation":["Institut National de la Recherche Agronomique de Tunisie"],"givenName":"Mondher","familyName":"Ben Salem","name":"Ben Salem, Mondher","nameIdentifiers":[{"nameIdentifierScheme":"ORCID","nameIdentifier":"0000-0001-6409-9896"}]}],"titles":[{"title":"Social Network Structure and Climate Change Adaptation Information Diffusion among Dairy Farmers: Evidence from Northern Tunisia"}],"publisher":"Zenodo","container":{},"publicationYear":2026,"subjects":[],"contributors":[],"dates":[{"date":"2026-07-20","dateType":"Issued"},{"date":"2026-07-20","dateType":"Copyrighted","dateInformation":"This work is copyrighted. It is shared to ensure reproducibility of the research. Please cite this record when reusing any part of it."}],"language":null,"types":{"schemaOrg":"Dataset","resourceTypeGeneral":"Dataset","citeproc":"dataset","bibtex":"misc","ris":"DATA","resourceType":""},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.5281/zenodo.21460807","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"1","rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution 4.0 International","rightsIdentifier":"cc-by-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"Climate adaptation information network of 239 dairy farmers in Bizerte Governorate, northern Tunisia. Reconstructed from structured interviews with 60 egos using a name-generator protocol (274 directed ties, 179 non-interviewed alters).\n\nFiles: Edge_List (network), Ego_Attributes , Zone_Assignment, Dictionary,\n\nDataset: Only variables required to replicate published results (Tables 1–10, Figures 1–6) are included.  adaptation-information items and four technology-utility items were collected; only those with significant/marginal associations with brokerage position are reported in the manuscript. \n\nReplication: R 4.4.2 (igraph 2.3.0, poweRlaw), seed 123. Code available upon request.\n\nAssociated publication:  Gara et al., Frontiers in Climate — Climate Adaptation (in press), Manuscript ID 1848645.\n\nEthics: Verbal informed consent obtained under Tunisian social science research regulations. 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License","rightsIdentifier":"mit"}],"descriptions":[{"descriptionType":"Abstract","description":"Building on this empirical response surface, spatial projections under CMIP6 climate scenarios (SSP2–4.5 and SSP5–8.5)"}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.21460422","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":2,"versionOfCount":1,"created":"2026-07-20T17:53:50Z","registered":"2026-07-20T17:53:50Z","published":null,"updated":"2026-07-20T17:53:50Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.21456837","type":"dois","attributes":{"doi":"10.5281/zenodo.21456837","identifiers":[{"identifier":"oai:zenodo.org:21456837","identifierType":"oai"},{"identifier":"Jules-Ref3-6-22ajiras080626","identifierType":"Other"},{"identifier":"https://american-ajiras.com/Didi-Ref01-7-23ajiras040726.pdf","identifierType":"URL"}],"creators":[{"nameType":"Personal","affiliation":["Université de Kinshasa | Faculté de Médecine | Ecole de Santé Publique | Département Santé de l'Environnement | Kinshasa, R.D. 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Congo |"],"givenName":"Clement","familyName":"MULUMBA","name":"MULUMBA, Clement","nameIdentifiers":[]}],"titles":[{"title":"Connaissances, attitudes et pratiques d'adaptation face au changement climatique chez les adultes résidant à Kinshasa, République démocratique du Congo : une étude transversale multicentrique menée dans plusieurs districts, 2024"},{"titleType":"AlternativeTitle","lang":"eng","title":"Knowledge, Attitudes, and Adaptive Practices Regarding Climate Change Among Adult Residents of Kinshasa (DRC): A Multi-District Cross-Sectional Study, 2024"}],"publisher":"American Journal of Innovative Research \u0026 Applied Sciences (AJIRAS)","container":{},"publicationYear":2026,"subjects":[{"subject":"Changement climatique"},{"subject":"Connaissances"},{"subject":"Attitudes"},{"subject":"Pratiques"}],"contributors":[{"nameType":"Personal","affiliation":["Université de Kinshasa | Faculté de Médecine | Ecole de Santé Publique | Département Santé de l'Environnement | Kinshasa, R.D. 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Ce phénomène mondial est moins connu par la population de la République démocratique du Congo, ce qui limite la maîtrise du phénomène et ne permet pas à la population de prendre une attitude adéquate de lutte contre ce phénomène. La Ville-Province de Kinshasa connaît la remontée des effets dus au changement climatique. Nous avons voulu déterminer les attitudes et pratiques des habitants de Kinshasa sur ce phénomène. Objectif: Cette étude vise à identifier les pratiques des habitants de Kinshasa vis-à-vis du changement climatique. Méthodes : Au total, 39 participants, dont 18 mères, 16 pères, 2 leaders d’opinion et trois prestataires de soins (deux infirmiers titulaires et un médecin), ont été inclus dans cette recherche. Les données ont été recueillies à travers des discussions en groupe et des entretiens, avec une analyse thématique réalisée à l’aide d’Excel. Avant la transcription des récits, une vérification de la qualité des données a été effectuée en comparant les notes manuscrites avec les enregistrements. Méthodes: Il s’agit d’une étude transversale dont les données émanent d’une enquête CAP dans les 12 communes des 4 districts de la ville-province de Kinshasa. 322 personnes avaient accepté de participer à cette enquête. Après compilation, ventilation et création de la base de ces données générées avec le logiciel Excel, les analyses faites avec le logiciel SPSS. Les variables ont été résumées en proportions et fréquences, la comparaison des moyennes par l’analyses de la variance et la valeur de p nous a permis de constater si les différentes variables exerçaient effectivement ou pas une influence sur la connaissance sur le changement climatique. Résultats : Avec l’échantillon de 322 participants, 65,2 % étaient constitués d’hommes et 34,8 % de femmes, avec une tranche d’âge de 18 à 25 ans à 16,8 % ; 71,4 % avaient un niveau de scolarité supérieur ou universitaire ; 52,2 % souhaitaient avoir toutes les informations nécessaires sur le changement climatique. 48 % des répondants sont prêts à prendre des mesures de lutte contre le changement climatique et 52 % ne savent pas quoi faire ; 55,9% des répondants sont très préoccupés par ce phénomène contre 3,1% qui ne sont pas du tout préoccupés et 51,9% ne savent pas quelle pratique utiliser pour lutter contre ce phénomène alors que 18,6% envisagent de planter des arbres. Conclusion : Les habitants de 12 communes de 4 Districts de la Ville de Kinshasa n’ont pas des connaissances fiables sur le changement climatique et ne sauront prendre des mesures de lutte et d’adaptation aux effets néfastes du changement climatique, le Gouvernement se trouve interpeller pour trouver de solutions durables afin de favoriser la maitrise de ce phénomène ; le Gouvernement est invité à mettre en pratique les résolutions de la COP29 ténue à Azerbaïdjan à Bakou pour la protection des populations.\n\nMots-clés : Changement climatique, Connaissances, Attitudes et Pratiques.\n\n \n\nSUMMARY\n\n Introduction: Climate change is one of the most pressing global challenges, with widespread environmental, social, and health consequences. In the Democratic Republic of the Congo (DRC), public awareness of climate change remains limited, reducing people's capacity to adopt appropriate mitigation and adaptation measures. Kinshasa, the capital city, has increasingly experienced the adverse effects of climate change, highlighting the need to assess residents' knowledge, attitudes, and practices (KAP). Objective: This study aimed to assess the practices of Kinshasa residents regarding climate change and to evaluate their knowledge and attitudes toward this global phenomenon. Methods: A cross-sectional KAP survey was conducted in the 12 municipalities across the four districts of Kinshasa. A total of 322 participants voluntarily took part in the study. Data were entered and organized using Microsoft Excel and statistically analyzed with SPSS. Descriptive statistics (frequencies and proportions) were used to summarize the variables, while analysis of variance (ANOVA) was applied to compare group means. Statistical significance (p-value) was used to determine the influence of sociodemographic variables on participants' knowledge of climate change. Results: Of the 322 respondents, 65.2% were male and 34.8% were female. Participants aged 18–25 years represented 16.8% of the sample, and 71.4% had attained higher or university education. More than half of the respondents (52.2%) expressed a desire to receive comprehensive information on climate change. Although 48.0% reported willingness to adopt climate change mitigation measures, 52.0% did not know what actions to take. Furthermore, 55.9% were highly concerned about climate change, while only 3.1% reported no concern. Notably, 51.9% were unaware of appropriate adaptation or mitigation practices, whereas only 18.6% identified tree planting as a potential response. Conclusion: The findings indicate that residents of the 12 municipalities across Kinshasa's four districts have insufficient knowledge of climate change and are therefore inadequately prepared to implement effective mitigation and adaptation measures. These results underscore the urgent need for government-led awareness campaigns, environmental education, and sustainable climate policies. The Government of the Democratic Republic of the Congo is encouraged to implement the commitments and recommendations adopted at COP29 in Baku, Azerbaijan, to strengthen climate resilience and protect vulnerable populations.\n\nKeywords: Climate change; Knowledge; Attitudes; Practices; Kinshasa; Democratic Republic of the Congo.\n\n "}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.21456837","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-07-20T17:47:40Z","registered":"2026-07-20T17:47:40Z","published":null,"updated":"2026-07-20T17:47:40Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.5281/zenodo.21456836","type":"dois","attributes":{"doi":"10.5281/zenodo.21456836","identifiers":[{"identifier":"Jules-Ref3-6-22ajiras080626","identifierType":"Other"},{"identifier":"https://american-ajiras.com/Didi-Ref01-7-23ajiras040726.pdf","identifierType":"URL"}],"creators":[{"nameType":"Personal","affiliation":["Université de Kinshasa | Faculté de Médecine | Ecole de Santé Publique | Département Santé de l'Environnement | Kinshasa, R.D. 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Congo |"],"givenName":"Jules","familyName":"TSHIBOLA K","name":"TSHIBOLA K, Jules","nameIdentifiers":[],"contributorType":"ContactPerson"},{"nameType":"Personal","affiliation":["Université de Kinshasa | Faculté de Médecine | Ecole de Santé Publique | Département Santé de l'Environnement | Kinshasa, R.D. Congo |"],"givenName":"Georgette","familyName":"NGWEME","name":"NGWEME, Georgette","nameIdentifiers":[],"contributorType":"DataCollector"},{"nameType":"Personal","affiliation":["Université de Kananga | Faculté de Médecine | Kananga, R.D. 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Ce phénomène mondial est moins connu par la population de la République démocratique du Congo, ce qui limite la maîtrise du phénomène et ne permet pas à la population de prendre une attitude adéquate de lutte contre ce phénomène. La Ville-Province de Kinshasa connaît la remontée des effets dus au changement climatique. Nous avons voulu déterminer les attitudes et pratiques des habitants de Kinshasa sur ce phénomène. Objectif: Cette étude vise à identifier les pratiques des habitants de Kinshasa vis-à-vis du changement climatique. Méthodes : Au total, 39 participants, dont 18 mères, 16 pères, 2 leaders d’opinion et trois prestataires de soins (deux infirmiers titulaires et un médecin), ont été inclus dans cette recherche. Les données ont été recueillies à travers des discussions en groupe et des entretiens, avec une analyse thématique réalisée à l’aide d’Excel. Avant la transcription des récits, une vérification de la qualité des données a été effectuée en comparant les notes manuscrites avec les enregistrements. Méthodes: Il s’agit d’une étude transversale dont les données émanent d’une enquête CAP dans les 12 communes des 4 districts de la ville-province de Kinshasa. 322 personnes avaient accepté de participer à cette enquête. Après compilation, ventilation et création de la base de ces données générées avec le logiciel Excel, les analyses faites avec le logiciel SPSS. Les variables ont été résumées en proportions et fréquences, la comparaison des moyennes par l’analyses de la variance et la valeur de p nous a permis de constater si les différentes variables exerçaient effectivement ou pas une influence sur la connaissance sur le changement climatique. Résultats : Avec l’échantillon de 322 participants, 65,2 % étaient constitués d’hommes et 34,8 % de femmes, avec une tranche d’âge de 18 à 25 ans à 16,8 % ; 71,4 % avaient un niveau de scolarité supérieur ou universitaire ; 52,2 % souhaitaient avoir toutes les informations nécessaires sur le changement climatique. 48 % des répondants sont prêts à prendre des mesures de lutte contre le changement climatique et 52 % ne savent pas quoi faire ; 55,9% des répondants sont très préoccupés par ce phénomène contre 3,1% qui ne sont pas du tout préoccupés et 51,9% ne savent pas quelle pratique utiliser pour lutter contre ce phénomène alors que 18,6% envisagent de planter des arbres. Conclusion : Les habitants de 12 communes de 4 Districts de la Ville de Kinshasa n’ont pas des connaissances fiables sur le changement climatique et ne sauront prendre des mesures de lutte et d’adaptation aux effets néfastes du changement climatique, le Gouvernement se trouve interpeller pour trouver de solutions durables afin de favoriser la maitrise de ce phénomène ; le Gouvernement est invité à mettre en pratique les résolutions de la COP29 ténue à Azerbaïdjan à Bakou pour la protection des populations.\n\nMots-clés : Changement climatique, Connaissances, Attitudes et Pratiques.\n\n \n\nSUMMARY\n\n Introduction: Climate change is one of the most pressing global challenges, with widespread environmental, social, and health consequences. In the Democratic Republic of the Congo (DRC), public awareness of climate change remains limited, reducing people's capacity to adopt appropriate mitigation and adaptation measures. Kinshasa, the capital city, has increasingly experienced the adverse effects of climate change, highlighting the need to assess residents' knowledge, attitudes, and practices (KAP). Objective: This study aimed to assess the practices of Kinshasa residents regarding climate change and to evaluate their knowledge and attitudes toward this global phenomenon. Methods: A cross-sectional KAP survey was conducted in the 12 municipalities across the four districts of Kinshasa. A total of 322 participants voluntarily took part in the study. Data were entered and organized using Microsoft Excel and statistically analyzed with SPSS. Descriptive statistics (frequencies and proportions) were used to summarize the variables, while analysis of variance (ANOVA) was applied to compare group means. Statistical significance (p-value) was used to determine the influence of sociodemographic variables on participants' knowledge of climate change. Results: Of the 322 respondents, 65.2% were male and 34.8% were female. Participants aged 18–25 years represented 16.8% of the sample, and 71.4% had attained higher or university education. More than half of the respondents (52.2%) expressed a desire to receive comprehensive information on climate change. Although 48.0% reported willingness to adopt climate change mitigation measures, 52.0% did not know what actions to take. Furthermore, 55.9% were highly concerned about climate change, while only 3.1% reported no concern. Notably, 51.9% were unaware of appropriate adaptation or mitigation practices, whereas only 18.6% identified tree planting as a potential response. Conclusion: The findings indicate that residents of the 12 municipalities across Kinshasa's four districts have insufficient knowledge of climate change and are therefore inadequately prepared to implement effective mitigation and adaptation measures. These results underscore the urgent need for government-led awareness campaigns, environmental education, and sustainable climate policies. The Government of the Democratic Republic of the Congo is encouraged to implement the commitments and recommendations adopted at COP29 in Baku, Azerbaijan, to strengthen climate resilience and protect vulnerable populations.\n\nKeywords: Climate change; Knowledge; Attitudes; Practices; Kinshasa; Democratic Republic of the Congo.\n\n "}],"geoLocations":[],"fundingReferences":[],"url":"https://zenodo.org/doi/10.5281/zenodo.21456836","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"downloadCount":0,"referenceCount":0,"citationCount":0,"partCount":0,"partOfCount":0,"versionCount":2,"versionOfCount":1,"created":"2026-07-20T17:47:40Z","registered":"2026-07-20T17:47:40Z","published":null,"updated":"2026-07-20T17:47:40Z"},"relationships":{"client":{"data":{"id":"cern.zenodo","type":"clients"}}}},{"id":"10.15468/tiih5n","type":"dois","attributes":{"doi":"10.15468/tiih5n","identifiers":[{"identifier":"5e7c3e74-2aaa-42a5-b93d-5e6b8418bd30","identifierType":"UUID"}],"creators":[{"name":"Climate Change Adaptation Research Program (CCARP) Database of Watering Requirements - Images","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Climate Change Adaptation Research Program (CCARP) Database of Watering Requirements - Images"}],"publisher":"Office of Environment \u0026 Heritage","container":{},"publicationYear":2020,"subjects":[],"contributors":[],"dates":[{"date":"2017-09-20","dateType":"Created"},{"date":"2026-07-20","dateType":"Updated"}],"language":"en","types":{"schemaOrg":"Dataset","resourceTypeGeneral":"Dataset","citeproc":"dataset","bibtex":"misc","ris":"DATA","resourceType":"OCCURRENCE"},"relatedIdentifiers":[],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rightsIdentifierScheme":"SPDX","rightsUri":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rights":"Creative Commons Attribution Non Commercial 4.0 International","rightsIdentifier":"cc-by-nc-4.0"}],"descriptions":[{"descriptionType":"Abstract","description":"The Climate Change Adaptation Research Program (CCARP) database of watering requirements holds information on the watering requirements of 170 flora and 190 fauna found in the Murray-Darling Basin. The database was last updated in 2010. 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