Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

245

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

245 results for “biodiversity outcomes”

Learn how ShareScore rates datasets ↗
zenodo20/100

Figure 10 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088

Figure 10 - Data extraction and re-publishing workflow of the Advanced Books platform

opencc-by-4.0Apr 2017View details →
zenodo20/100

Figure 6 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088

Figure 6 - Data and metatada import into manuscripts in ARPHA Writing Tool.

opencc-by-4.0Apr 2017View details →
zenodo20/100

Figure 5 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088

Figure 5 - Integrated data and narrative publishing in the ARPHA-XML journal workflow.

opencc-by-4.0Apr 2017View details →
zenodo20/100

Figure 3 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088

Figure 3 - Article formats available in ARPHA Writing Tool.

opencc-by-4.0Apr 2017View details →
zenodo20/100

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&nbsp;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&nbsp;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>

openFeb 2023View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record