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37
datasets available to search
ShareScore release 0.9.0
Dataset results
37 results for “Resource conservation”
Data from: Genome-wide SNP discovery in the annual herb, Lasthenia fremontii (Asteraceae): genetic resources for the conservation and restoration of a California vernal pool endemic
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Data from: Does wildlife resource selection accurately inform corridor conservation?
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Data from: Multi-objective optimization for plant germplasm collection conservation of genetic resources based on molecular variability
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Data from: Hemiptera phylogenomic resources: tree-based orthology prediction and conserved exon identification
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Data from: Leaf traits of African woody savanna species across climate and soil fertility gradients: evidence for conservative vs. acquisitive resource use strategies
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Data from: Resource tracking and its conservation implications for an obligate frugivore (Procnias tricarunculatus, the three-wattled bellbird)
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Allocating resources for land protection using continuous optimization: an application to US biodiversity conservation
Spatial optimization approaches that were originally developed to help conservation organizations determine protection decisions over small spatial scales are now used to inform global or continental scale priority setting. However, the different decision contexts involved in large-scale resource allocation need to be considered. We present a continuous optimization approach in which a decision-maker allocates funding to regional offices. Local decision-makers then use these funds to implement habitat protection efforts with varying effectiveness when evaluated in terms of the funder's goals. We illustrate this continuous formulation by examining the relative priority that should be given to different counties in the coterminous United States (US) when acquiring land to establish new protected areas. If weighting all species equally, counties in the southwest US, where large areas can be bought cheaply, are priorities for protection. If focusing only on species of conservation concern, priorities shift to locations rich in such species, particularly near expanding exurban areas facing high rates of future habitat conversion (e.g., south-central Texas). Priorities for protection are sensitive to what is assumed about local ecological and decision-making processes. For example, decision-makers who doubt the efficacy of local land protection efforts should focus on a few key areas, while optimistic decision-makers should disperse funding more widely. Efforts to inform large-scale conservation priorities should reflect better the types of choice that decision-makers actually face when working over these scales. They also need to report the sensitivity of recommended priorities to what are often unstated assumptions about local processes affecting conservation outcomes.
Legacy Partner Archive: (0090) Conservation Biology of Freshwater Turtles and Tortoises Resource
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Exploring the Impact Mechanism of ChatGPT Applications on University Teachers' Perceived Professional Threats: An Empirical Study Based on Conservation of Resources Theory
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Figure 1 from: Magoga G, Sassi D, Daccordi M, Leonardi C, Mirzaei M, Regalin R, Lozzia G, Montagna M (2016) Barcoding Chrysomelidae: a resource for taxonomy and biodiversity conservation in the Mediterranean Region. In: Jolivet P, Santiago-Blay J, Schmitt M (Eds) Research on Chrysomelidae 6. ZooKeys 597: 27–38. https://doi.org/10.3897/zookeys.597.7241
Figure 1 - Area investigated by the Chrysomelidae Barcoding project. The countries in which were performed the collecting campaigns are reported in dark grey. The percentage of the total processed specimens is reported for each country.
Allocating resources for land protection using continuous optimization: an application to US biodiversity conservation
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Data from: Transcriptome resources for the frogs Lithobates clamitans and Pseudacris regilla, emphasizing antimicrobial peptides and conserved loci for phylogenetics
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Landscape genomics analysis: A comprehensive guide to enhance the conservation and use of plant genetic resources
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NARSTO EPA Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Texas Natural Resource Conservation Commission (TNRCC) continuous ambient monitoring stations (CAMS) Air Quality Data
NARSTO_EPA_HOUSTON_TEXAQS2000_CAMS_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Houston, Texas Air Quality Study 2000 (TexAQS2000) Texas Natural Resource Conservation Commission (TNRCC) continuous ambient monitoring stations (CAMS) Air Quality Data. This data set contains 5-minute air quality measurements collected in Texas during August and September 2000 at 85 CAMS during TEXAQS2000. Measurements include carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxide (NO), nitrogen dioxide (NO2), oxides of nitrogen (NOx), total reactive nitrogen species (NOy), ozone, particulate matter (PM) 2.5 mass, hydrogen sulfide (H2S), wind speed, wind direction, maximum wind gust, air temperature, dewpoint temperature, humidity, precipitation, surface pressure, radiation, and visibility. CAMS are operated by the Texas Commission on Environmental Quality (TCEQ), local city or county governments, or private monitoring networks. Important monitoring site information: The site information data table in each of the 85 data files may not contain the latest TCEQ site information. A companion file site information spreadsheet (.csv) that lists data for all 85 sites is the latest TCEQ site information. The site information data tables in the 85 data files will not be updated. The 85 site spreadsheet companion document is the official source of site data, and this data is listed in the TEXAQS2000 CAMS guide document.NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
Supplementary material - Global strategy for the conservation and use of genetic resources of selected millets
<p><strong>Supplementary material for: </strong>Bramel, P., Giovannini, P. and M. Eshan Dulloo. 2022. Global strategy for the conservation and use of genetic resources of selected millets. Global Crop Diversity Trust. Bonn, Germany. DOI: 10.5281/zenodo.7798294</p>
Natural Resources Conservation Service SD State Farm Service Agency Color Slide Scans
The unique landscape of South Dakota, known for its diverse wetlands and large areas of native prairie, provides critical habitat for many of the nation’s migratory birds, including grassland birds.
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>
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.