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44
datasets available to search
ShareScore release 0.9.0
Dataset results
44 results for “social-ecological”
JustConservation - global data of site-level biodiversity conservation and its social-ecological outcomes (1970-2019)
<p>This dataset contains evidence collected from 723 studies published in English-language peer-reviewed journals that describe and explore conservation efforts at a single site in 104 countries (1970-2019). The pool of studies was obtained through a keyword search on Web of Science, which returned 69,246 publications, followed by a screening of titles and abstracts using the open access machine-learning assisted software Colandr (11,100 publications screened; cut-off inclusion rate: 3%) and a data extraction phase (1,054 publications), based on the following criteria for inclusion: (1) the study is about biodiversity conservation; (2) the study describes a deliberate intervention; (3) the study provides empirical evidence; (4) the conservation intervention takes place in a specific site through a specific actor or actors; (5) the study identifies a discernible conservation aim, and; (6) the paper identifies a discernible conservation approach.</p> <p>Curated and compiled dataset with the following columns:</p> <ul> <li><strong>study_id</strong>: unique identifier of the study</li> <li><strong>title</strong>: title of the study</li> <li><strong>year</strong>: publication year of the study</li> <li><strong>authors</strong>: authors of the study</li> <li><strong>name_journal</strong>: name of the journal the study was published in</li> <li><strong>author_affiliation_type</strong>: type of institution the lead author of the study works for (University/Academic; NGO; public/state/UN; think thank/research institute; private company; independent; other). Only lists first affiliation.</li> <li><strong>author_affiliation_country: </strong>country of affiliation of the lead author. Only lists first affiliation.</li> <li><strong>author_continent</strong>: country of affiliation of the lead author. Only lists first affiliation.</li> <li><strong>author_north_south</strong>: indicates whether the lead author is affiliated with an institution in the Global North (N) or Global South (S). Only lists first affiliation.</li> <li><strong>major_funder_ngo</strong>: are any authors affiliated with a major conservation funder or organisation with an interest in the conservation intervention being researched (yes; no)</li> <li><strong>funding_source</strong>: funding source of the paper (not of the conservation intervention)</li> <li><strong>conflict_of_interest: </strong>overlap between the affiliations of authors, the funding source and the conservation intervention being researched (0 = no; 1 = yes)</li> <li><strong>study_country</strong>: country where the intervention was studied</li> <li><strong>study_locality</strong>: locality or region where the intervention was studied</li> <li><strong>study_continent</strong>: continent where the intervention was studied</li> <li><strong>study_north_south: </strong>indicates whether the conservation intervention was conducted in the Global North (N) or Global South (S)</li> <li><strong>primary_ecosystem_type</strong>: type of ecosystem of the intervention (Forest/Woodland; Savanna/Dry forest; Dryland/Semi-arid; Grassland/Shrubland; Rivers/Wetlands; Coastal/Marine; Mountain; Cultivated; Other)</li> <li><strong>name_primary_intervention</strong>: name of the conservation intervention or program</li> <li><strong>year_primary_intervention</strong>: year the conservation intervention or program started (single year; many years)</li> <li><strong>target_type_ecosystem</strong>: the conservation intervention targets ecosystems or habitats (yes; no)</li> <li><strong>target_type_species</strong>: the conservation intervention targets specific species (yes; no)</li> <li><strong>target_type_ess</strong>: the conservation intervention targets ecosystem services or processes (yes; no)</li> <li><strong>target_type_humans: </strong>the conservation intervention targets humans and livelihoods (yes; no)</li> <li><strong>description_primary_target</strong>: short description of the primary conservation target</li> <li><strong>description_secondary_target: </strong>short description of any additional conservation target (if applicable)</li> <li><strong>intervention_type_paca</strong>: the conservation intervention takes places through protected areas or conserved areas (yes; no)</li> <li><strong>intervention_type_restoration</strong>: the conservation intervention takes places through restoration (yes; no)</li> <li><strong>intervention_type_species_use</strong>: the conservation intervention takes places through species protection or sustainable use measures (yes; no)</li> <li><strong>intervention_type_livelihoods_tourism</strong>: the conservation intervention takes places through livelihoods support or tourism (yes; no)</li> <li><strong>intervention_type_incentives</strong>: the conservation intervention takes places through incentives, compensation schemes, or market instruments (yes; no)</li> <li><strong>intervention_type_education</strong>: the conservation intervention takes places through education or capacity building (yes; no)</li> <li><strong>intervention_type_stewardship</strong>: the conservation intervention takes places through local/indigenous stewardship (yes; no)</li> <li><strong>description_primary_type</strong>: short description of the primary conservation type</li> <li><strong>description_secondary_type: </strong>short description of any additional conservation types (if applicable)</li> <li><strong>study_covers_governance: </strong>the paper describes governance processes (yes; no)</li> <li><strong>iplc_involved: </strong>indigenous people and/or local communities are involved in the conservation intervention (no; yes, partially; yes, locally-led)</li> <li><strong>description_governance</strong>: short description of the governance process and main actors involved</li> <li><strong>additional_notes: </strong>notes and/or remarks about conservation intervention/governance</li> <li><strong>ecological_outcomes_incl:</strong> study describes ecological outcomes or conservation effectiveness (yes; no)</li> <li><strong>ecological_outcomes: </strong>the reported ecological outcomes are positive, negative, or mixed (positive; negative; mixed; N/A)</li> <li><strong>social_outcomes_incl</strong>: study describes social impacts or outcomes associated with conservation (yes; no)</li> <li><strong>social_outcomes:</strong> the reported social outcomes are positive, negative, or mixed (positive; negative; mixed; N/A)</li> </ul>
SCALABLE - Social-ecological pathways and gender perspectives for future conservation of biocultural mountain agro-ecosystems - Deliverable 1.1: Database of social perceptions towards impacts and threats
<p><strong>D1.1: Database of social perceptions towards impacts and threats</strong></p> <p><strong>.- Social database in case study 1: Almócita, Almería, Spain</strong></p> <p>This dataset contains the results from a social survey targeting rural local communities over their perceptions on rural abandonment. Respondents were asked about: a) relation with the rural area and human-nature connectedness; b) perception toward rural abandonment and drivers of change; c) specific activities that in the municipality are carried out to face rural abandonment and how those activities are connected and promote different human well-being components. A final section of the survey compiled socio-demographic information to allow the characterization of the respondents. The survey was carried out by face-to-face and the data compilation was using tablets and manually. </p> <p>In this upload you can find 2 files:</p> <p>1- Database: this file contains the dataset with all the valid responses to the survey. blank spaces mean that the question was left unanswered by the respondents.</p> <p>2- Document of the face-to-face survey with all the questions and panels used for the social sampling: a) panel of drivers of change; b) panel of activities; and c) panel of contributions.</p> <p><strong>.- Social database in case study 2: Purchena, Almería, Spain</strong></p> <p>This dataset contains the results from a social survey targeting rural local communities over their perceptions on human-nature connections and their dimensions, as well as factors for reconnecting with rural areas. Respondents were asked about: a) human-nature connectedness in a rural areas; b) dimensions of human-nature connectedness; and c) reconnection with nature. A final section of the survey compiled socio-demographic information to allow the characterization of the respondents. The survey was carried out by face-to face and online, and the data compilation was manually. </p> <p>In this upload you can find 2 files:</p> <p>1- Database: this file contains the dataset with all the valid responses to the survey. blank spaces mean that the question was left unanswered by the respondents.</p> <p>2- Document of the face-to-face survey with all the questions used for the social sampling.</p>
SCALABLE - Social-ecological pathways and gender perspectives for future conservation of biocultural mountain agro-ecosystems - Deliverable 2.1: Spatially explicit database on biocultural practices and their associated ecosystem services
<p>This dataset contains the results from participatory mapping workshops with local communities in the municipality of Abrucena, in Almería, Spain. Participatory workshops were carried out divided by gender in different days. In addition, within each workshop, participants were dividing in two different groups. Participants were asked to: a) map past biocultural diversity elements in the region (i.e., practices, knowledge, and traditions); and b) map current biocultural diversity elements (i.e., practices, knowledge and traditions) in the region.</p> <p>In this upload you can find 4 files (shapefiles format):</p> <p>1- Spatial database of past (1950) biocultural diversity elements mapped by women: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions.</p> <p>2- Spatial database of current (2022) biocultural diversity elements mapped by women: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions.</p> <p>3- Spatial database of past (1950) biocultural diversity elements mapped by men: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions.</p> <p>4- Spatial database of current (2022) biocultural diversity elements mapped by men: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions.</p>
SCALABLE - Social-ecological pathways and gender perspectives for future conservation of biocultural mountain agro-ecosystems - Deliverable 3.1: Future scenarios developed for the conservation of mountain agro-ecosystems
<p>This dataset contains the results from participatory mapping workshops with local communities in the municipality of Abrucena, in Almería, Spain. Participatory workshops were carried out divided by gender in different days. In addition, within each workshop, participants were dividing in two different groups. Participants were asked to: a) map future biocultural diversity elements in the region (i.e., practices, knowledge, and traditions); and b) identify strategies to reach the ideal future scenario for the conservation of biocultural diversity in the region.</p> <p>In this upload you can find 4 files:</p> <p>1- Database of future scenarios for biocultural diversity identified by women: this file contains the dataset with biocultural diversity elements identified and classified by three categories: practices, knowledge, traditions.</p> <p>2- Database of future strategies to achieve future scenarios for the conservation of biocultural diversity identified by women: first sheet contains the dataset with strategies identified, and actors involved in each strategy. Second sheet contains general observations of the strategies to facilitate the interpretation of the data.</p> <p>3- Database of future scenarios for biocultural diversity identified by men: this file contains the dataset with biocultural diversity elements identified and classified by three categories: practices, knowledge, traditions.</p> <p>4- Database of future strategies to achieve future scenarios for the conservation of biocultural diversity identified by men: first sheet contains the dataset with strategies identified, and actors involved in each strategy. Second sheet contains general observations of the strategies to facilitate the interpretation of the data.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.