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.
7,849
datasets available to search
ShareScore release 0.9.0
Dataset results
7,849 results for “Conservancy”
FIGURE 2.1 in Mitogenome of Anterastes babadaghi (Orthoptera: Tettigoniinae; Platycleidini): Frequent conserved overlapping regions within Tettigoniinae
FIGURE 2.1. Putative secondary structures for tRNA genes in Anterastes babadaghi
A global map of roadless areas and their conservation status
<p>Abstract</p> <p>Roads fragment landscapes and trigger human colonization and degradation of ecosystems, to the detriment of biodiversity and ecosystem functions. The planet’s remaining large and ecologically important tracts of roadless areas sustain key refugia for biodiversity and provide globally relevant ecosystem services. Applying a 1-kilometer buffer to all roads, we present a global map of roadless areas and an assessment of their status, quality, and extent of coverage by protected areas. About 80% of Earth’s terrestrial surface remains roadless, but this area is fragmented into ~600,000 patches, more than half of which are <1 square kilometer and only 7% of which are larger than 100 square kilometers. Global protection of ecologically valuable roadless areas is inadequate. International recognition and protection of roadless areas is urgently needed to halt their continued loss.</p>
Filling knowledge gaps in insect conservation by leveraging genetic data from public archives
<p>Based on data collection from NCBI GenBank and BOLD, we edited a georeferenced database of barcoding data for the insect taxa within the Italian IUCN Red Lists: saproxylic beetles, butterflies, bees, and dragonflies.</p> <p>The goal of this database is to support the estimation of the genetic diversity of the listed insect species. The database populated with barcoding sequences and additional metadata will allow studies in order to define biodiversity pattern models in Italy and Europe.</p> <p>Our database allows recycling and re-analysing data from two major repositories such as NCBI GenBank and BOLD, increasing accessibility to big data for comparative study to facilitate genetic and spatial analyses on a large scale. Our findings suggest to fill many gaps in the knowledge of species occurrence, distribution, and patterns of genetic diversity for insects in Europe.</p>
Mapping genetic and phylogenetic diversity of IUCN Red-Listed insects inside and outside protected areas for effective conservation
<p>This dataset contains supplementary figures for the paper titled "<em>Mapping genetic and phylogenetic diversity of IUCN Red-Listed insects inside and outside protected areas for effective conservation</em>." This study addresses the often-overlooked genetic diversity within conservation actions by mapping intraspecific genetic diversity of IUCN Red-Listed beetles and butterflies in Italy. Using genetic sequence data from public repositories and spatial analyses, we generated comprehensive maps that illustrate patterns of allelic richness (AR), nucleotide diversity (π), and haplotype diversity (h) across the ranges of these species. We also performed spatial interpolation to map intraspecific phylogenetic diversity, providing an insight into lineage distributions for these Red-Listed Italian species. This dataset also includes plots analyzing the coverage of genetic diversity and lineage presence within and outside protected areas, providing insights into the effectiveness of these areas in conserving genetic diversity and supporting lineage persistence.</p>
Fig. 16 in Inventaire et conservation des abeilles sauvages (Hymenoptera:
Fig. 16. Halictus quadricinctus (Fabricius, 1776) ♂. Barre d'échelle: 5 mm. © Paolo Rosa.
Dataset for "Gains in biodiversity conservation and ecosystem services from the expansion of the planet's protected areas"
<p><em>Overview of dataset</em></p> <p>This dataset consists of nine raster layers representing modelled scenarios to meet the target of protecting 30% of all land areas, under three key objectives (i.e. maximizing landscape intactness, species conservation potential and ecosystem services):</p> <table> <tbody> <tr> <td> <p>Objective</p> </td> <td> <p>Scenario/indicator</p> </td> <td> <p>Filename</p> </td> </tr> <tr> <td> <p>Landscape intactness</p> </td> <td> <p>Human footprint</p> </td> <td> <p>HumanFootprint_30.tif</p> </td> </tr> <tr> <td>Landscape intactness</td> <td> <p>Ecosystem intactness</p> </td> <td> <p>EcosystemIntactness_30.tif</p> </td> </tr> <tr> <td>Landscape intactness</td> <td> <p>Biodiversity intactness</p> </td> <td> <p>BiodiversityIntactness_30.tif</p> </td> </tr> <tr> <td> <p>Biodiversity conservation</p> </td> <td> <p>Total species richness</p> </td> <td> <p>TotalSpeciesRichness_30.tif</p> </td> </tr> <tr> <td> <p>Biodiversity conservation</p> </td> <td> <p>Threatened species richness</p> </td> <td> <p>TheatenedSpeciesRichness_30.tif</p> </td> </tr> <tr> <td> <p>Biodiversity conservation</p> </td> <td> <p>Range-size rarity</p> </td> <td> <p>RangeSizeRarity_30.tif</p> </td> </tr> <tr> <td> <p>Biodiversity conservation</p> </td> <td> <p>Key biodiversity areas</p> </td> <td> <p>SizeKBA_30.tif</p> </td> </tr> <tr> <td> <p>Ecosystem services</p> </td> <td> <p>Climate-change mitigation potential</p> </td> <td> <p>ClimateChangeMitigation_30.tif</p> </td> </tr> <tr> <td> <p>Ecosystem services</p> </td> <td> <p>Nutrient-regulation potential</p> </td> <td> <p>NutrientRegulation_30.tif</p> </td> </tr> </tbody> </table> <p>It also contains one R-script that provides an example of our analyses. This dataset is designed to accompany Zeng et al. and the full methodology is described in that publication.</p> <p>Briefly, we first calculated the coverage of existing protected areas, and the coverage needed to close the gap to achieve the target of protecting 30% of all land areas, across 238 countries. We then assigned the placement of these areas based on nine scenarios representing three key objectives—prioritizing the intactness of landscapes, species conservation potential, and ecosystem services. Here we select and ensure that the highest-ranked areas retain their present conservation value across these objectives. Last, we quantified the biodiversity, climate-change mitigation and nutrient-regulation benefits.</p>
Supplementary data, Global strategy for the conservation and use of pea genetic resources
<p>Supplementary data, Global strategy for the conservation and use of pea genetic resources</p>
Labeled passive acoustic monitoring dataset from Danum Valley Conservation Area, Sabah, Malaysia
<p>This is the data archive for labeled training, validation and test data from a passive acoustic monitoring project in Danum Valley Conservation Area, Sabah, Malaysia. Please refer to Clink et al. (2023) and our <a href="https://github.com/DenaJGibbon/Workflow-for-automated-detection-and-classification-gibbon-calls">GitHub Page</a> for details and code.</p> <p>"AnnotatedFilesTest"</p> <p>"AnnotatedFilesValidation"</p> <p>"TestSoundFiles"</p> <p>"TrainingFilesValidated"</p> <p>"TrainingFilesValidatedAddFemales"</p> <p>"TrueFalsePositives"</p> <p>"UpdatedDanumDetectionsHQ99" </p> <p> "ValidationSoundFiles" </p>
FIGURE 1 in Eugenia (Myrtaceae) from Mexico: checklist, distribution, and conservation assessments
FIGURE 1. Map of Mexico location.
Lewa Conservancy LDSF standard soil sample data
<p>LDSF soil data for Lewa.</p> <ul> <li>SSN: Sample Serial Number (in the lab)</li> <li>SOC: Soil organic carbon</li> <li>TN: Total nitrogen</li> <li>ExBas: Sum of exchangeable bases (Ca+Mg+K+Na; cmol<sub>c</sub> kg<sup>-1</sup>)</li> <li>ExCa: Exchangeable Ca (cmol<sub>c</sub> kg<sup>-1</sup>)</li> <li>ExMg: Exchangeable Mg (cmol<sub>c</sub> kg<sup>-1</sup>)</li> <li>ExK: Exchangeable K (cmol<sub>c</sub> kg<sup>-1</sup>)</li> <li>ExNa: Exchangeable Na (cmol<sub>c</sub> kg<sup>-1</sup>)</li> <li>Sand content (%)</li> <li>Clay content (%)</li> </ul>
FIG. 1 in Using Demography to Evaluate Reintroductions for Conservation of the Endangered Frog, Rana sierrae, in Streams
FIG. 1.—Locations of Rana sierrae streams surveyed 2016–2018. Insets show breeding areas.
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>
MRI in Women With Newly Diagnosed Breast Cancer Prior to Breast Conserving Surgery
ClinicalTrials.gov study NCT00695916. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Comparative Results of Conservatively and Surgically Treated Adolescents With Triplane and Juvenile Tillaux Ankle Fractures After Skeletal Maturity
ClinicalTrials.gov study NCT00541580. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A novel role for the conserved, orphan deaminase APOBEC2 [ChIP-seq]
GEO Series GSE117729. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Conserved roles of GATA4 and its target gene TBX2 in regulation of human cardiogenesis
GEO Series GSE308990. Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing.
A first comprehensive analysis of Transcribed Ultra Conserved Regions uncovers important regulatory functions of novel non-coding transcripts in gliomas
GEO Series GSE264713. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
RNA sequencing of developing Mimulus seeds reveals conservation of three imprinted genes
GEO Series GSE123424. Erythranthe pardalis x Erythranthe guttata; Erythranthe pardalis. 20 samples. Type: Expression profiling by high throughput sequencing.
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.