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706 results for “protected area.”
FIGURE 6 in Biodiversity hotspot in the Sangha Trinational Protected Area revealed through Orthoptera Tettigoniidae
FIGURE 6. Frontal view of the head of species, whose genera are here included in the tribe Plangiopsidini: Bongeia puncticollis Sĵstedt, 1902 (a), Plangiola herbacea Bolívar, 1906 (b), Afrotapiena n. gen. minor Bolívar, 1906 (before Tapiena minor) (c), Itokiia silvarum Sĵstedt, 1902 (d). Arrows indicate the lateral dimples on the fastigium of vertex.
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>
FIGURE 28 in Two new species of Diastatotropis Lacordaire from protected areas in central and east Madagascar (Coleoptera: Anthribidae)
FIGURE 28. Type localities of Diastatotropis lusti and D. petulae.
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>
Climate-informed conservation planning in the swiya: Zonation priorities with ranked protected areas and designated lands
Open the record for dataset details and reuse information.
Benthic macroinvertebrates in a protected area within the Brazilian savannah
<p>Collection.</p>
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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.