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62 results for “digital mapping”

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dryad32/100

Data from: Misuse of bird digital distribution maps creates reversed spatial diversity patterns in the Amazon

Open the record for dataset details and reuse information.

publicMay 2017View details →
zenodo28/100

The Sloan Digital Sky Survey Reverberation Mapping Project: the XMM-Newton X-ray source catalog and multi-band counterparts

<p>The XMM-RM project was designed to provide X-ray coverage of the Sloan Digital Sky Survey Reverberation Mapping (SDSS-RM) field. 41 XMM-Newton exposures, placed surrounding the Chandra AEGIS field, were taken, covering an area of 6.13 deg2 and reaching a nominal exposure depth of &sim; 15 ks. We present an X-ray catalog of 3553 sources detected in these data, using a PSF-fitting algorithm and a sample selection threshold that produces a &sim; 5% fraction of spurious sources. The Bayesian method &ldquo;NWAY&rdquo; was employed to identify counterparts of the X-ray sources from the optical Legacy and the IR unWISE catalogs, using a 2-dimensional unWISE magnitude-color prior created from optical/IR counterparts of Chandra X-ray sources.&nbsp;932 of the XMM-RM sources are covered by SDSS spectroscopic observations. 89% of them are classified as AGN, and 71% of these AGN are in the SDSS-RM quasar catalog. Among the SDSS-RM quasars, 80% are detectable at the depth of the XMM observations. Forced X-ray photometry is performed at the positions of the undetected SDSS-RM quasars.</p>

opencc-by-4.0Aug 2020View details →
zenodo28/100

Soil Total Nitrogen Observations in Burkina Faso and Covariates for Digital Soil Mapping

<p>Contains:</p> <ol> <li>Dataset on Soil Total Nitrogen Observations (g/kg) in Burkina Faso obtained from the&nbsp;<a href="https://data.isric.org/geonetwork/srv/eng/catalog.search#/metadata/e50f84e1-aa5b-49cb-bd6b-cd581232a2ec">WoSIS snapshot - December 2023 </a>published by ISRIC-World Soil Information (License <a href="https://creativecommons.org/licenses/by-nc/4.0/legalcode">CC-BY-NC</a>)</li> <li>Environmental Variable Covariates extracted from Google Earth Engine including WorldClim, MODIS, SRTM (Licenses: Free).</li> </ol> <p>Purpose:</p> <p>For the implementation of Digital Soil Mapping as a case study to explore the potential of Cartographic Visualizations in supporting the Readability, Interpretability and understanding of a Random Forest regression model outputs using Shapley Additive exPlanations (SHAP).</p>

opencc-by-sa-4.0Jul 2024View details →
zenodo28/100

Mapping between Modeling Concepts and Modeling Techniques for Digital Ecosystems

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
nasa28/100

Radarsat Antarctic Mapping Project Digital Elevation Model, Version 2

The high-resolution Radarsat Antarctic Mapping Project (RAMP) Digital Elevation Model (DEM) combines topographic data from a variety of sources to provide consistent coverage of all of Antarctica.

restrictednotspecifiedApr 2025View details →
nasa28/100

Digital SAR Mosaic and Elevation Map of the Greenland Ice Sheet, Version 1

The Digital SAR Mosaic and Elevation Map of the Greenland Ice Sheet combines the most detailed synthetic aperture radar (SAR) image mosaic available with the best current digital elevation model. The mosaic image shows both the location of the ice edge and the distribution of melt-related 'scatterers' on the surface. These scatterers include ice lenses and complex layered structure in the percolation zone and bare ice of the ablation zone. Other melt-related features that can be seen include lake and surface meltwater stream channels at lower elevations, as well as ice-marginal lakes.This characterization of the ice sheet provides a reference against which future change can be measured. Changing conditions resulting from climatic variation should show up as changes in the ice margin and shifts in the hydrologic zones. It is hoped that the standard reference provided by this data set can facilitate activities aimed at change detection and promote other work aimed at understanding the processes operating on the ice sheet.The image data are derived from SAR image swaths acquired by the ERS-1 satellite during August of 1992. The mosaic was assembled at the Jet Propulsion Laboratory (JPL) and Goddard Space Flight Center (GSFC). Its component images are a copyrighted product of the European Space Agency. The mosaic, a value-added derived product, is available to individuals and non-profit organizations for research oriented purposes only. The Danish geodetic and cadastral agency Kort-og Matrikelstyrelsen (KMS) compiled the elevation data provided with the product from a number of sources, including field surveys, aerial photographs, and the ERS-1 radar altimeter.

restrictednotspecifiedApr 2025View details →
geo24/100

Mapping the immune cell microenvironment by digital spatial profiling in muscle tissue injected with the venom of Daboia russelii

GEO Series GSE222977. Mus musculus. 63 samples. Type: Other.

openGEO-OpenMar 2023View details →
geo24/100

Digital gene expression and global mapping of polyadenylation sites with PolyA-Seq

GEO Series GSE30198. Macaca mulatta; Homo sapiens; Canis lupus familiaris; Rattus norvegicus; Mus musculus. 26 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2011View details →
zenodo24/100

Data and R code for the preprint "Downscaling digital soil maps using electromagnetic induction and aerial imagery"

<p>Data and R code used in the preprint &quot;Downscaling digital soil maps using electromagnetic induction and aerial imagery&quot; (M&oslash;ller, 2020). This is the data and code for the preprint before submission for peer review. The data and code for the revised manuscript are available at <a href="https://doi.org/10.5281/zenodo.3959005">https://doi.org/10.5281/zenodo.3959005</a>.</p> <p>Code originally written for R version&nbsp;3.6.2.</p> <p>References<br> M&oslash;ller, A.B., Koganti, T., Beucher, A., Iversen, B.V. and Greve, M.H., 2020. Downscaling digital soil maps using electromagnetic induction and aerial imagery. EarthArXiv. <a href="http://dx.doi.org/10.31223/osf.io/a7xz6">http://dx.doi.org/10.31223/osf.io/a7xz6</a>. [preprint]</p> <p>&nbsp;</p>

openMar 2020View details →
zenodo24/100

Frequency Maps of Digital Brain Model

<p>&nbsp;</p> <ul> <li><em>frequency_1.nii.gz</em> - Larmor frequency of digital brain model without microstructure</li> <li><em>frequency_2.nii.gz</em> - Larmor frequency of digital brain model with&nbsp;microstructure</li> </ul>

opencc-by-4.0Aug 2020View details →
zenodo24/100

Digital Geological Map of Jordan

<p>This dataset contains a geopackage with the georeferenced geological map of Jordan. The data covers most of Jordan with a focus on the western part of the country. Note: use the pdf for the geological unit abbreviations. EPSG code is 3857.&nbsp;</p>

opencc-by-4.0Oct 2023View details →
zenodo24/100

USGS National Map 3DEP 1 Arc-second Digital Elevation Models (DEMs): Full Coverage for U.S. Interstate Highway System

<p>This is an archive of the USGS National Map 3DEP 1 Arc-second Digital Elevation Models (DEMs). While it should be reasonably complete (provided via DVD by USGS), coverage has only been verified to provide full coverage for the U.S. Interstate Highway System (see notes below).</p> <p>Original description:</p> <blockquote> <p>This is a tiled collection of the 3D Elevation Program (3DEP) and is 1 arc-second (approximately 30 m) resolution.The elevations in this Digital Elevation Model (DEM) represent the topographic bare-earth surface. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. [...] The seamless 1 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The seamless 1 arc-second DEM layer provides coverage of the conterminous United States, Hawaii, Puerto Rico, other territorial islands, and much of Alaska and Canada. The seamless 1 arc-second DEM is available as pre-staged products tiled in 1 degree blocks in Erdas .img, ESRI arc-grid, and grid float formats. The seamless 1 arc-second DEM layer is updated continually as new data become available.</p> </blockquote> <p>The archived data here were acquired from two sources:</p> <ul> <li>DVD purchased from USGS on (DATE), as per process described in README.pdf The list of files stemming from the DVD are listed in &quot;manifest_USGS_DVD.txt&quot;</li> <li>manual download of missing grid cells from <a href="https://apps.nationalmap.gov/downloader/#/">https://apps.nationalmap.gov/downloader</a>/ on (DATE), as per procedure described in README.pdf, files are listed in &quot;manifest_missingrasters.txt&quot;</li> </ul> <p>&nbsp;</p>

openother-pdJan 2022View details →
zenodo24/100

The dataset for paper Roughness prediction of end milling surface for behavior mapping of digital twined machine tools

<p>The original real measured surface roughness is in the &quot;Ra.xlsx&quot;. The origigital sensor data is named as &quot;ACF-x-x&quot;. In each excel document, three directions of vibration, current and force sensor data is included.&nbsp;<br> Naming rules is as follows: In&ldquo;ACF-1-2&quot;, &quot;1-2&quot;represents the second slot in first layler.&nbsp;<br> The corresponding cutting parameters for each slot are illustraed in &quot;Ra.xlsx&quot; document. &nbsp;</p>

opencc-by-4.0Feb 2023View details →
ClinicalTrials.gov24/100

The Effect of Digital Mind Map and Midwifery Students

ClinicalTrials.gov study NCT06414538. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
nasa20/100

DS1 DIGITAL ELEVATION MAPS OF COMET 19P/BORRELLY V1.0

This data set contains both the USGS and DLR versions of the digital elevation model of the surface areas of comet 19P/Borrelly 1 (1904 Y2) that were visible and illuminated during the Deep Space 1 encounter. The model was computed using the parallax, caused by the spacecraft's motion, between the highest resolution images. The USGS data set also includes the surface normal directions at each location.

restrictedus-pdApr 2025View details →
nasa20/100

Heat Capacity Mapping Mission Digital Source

The HCMM Digital Source dataset includes approximately 2400 scenes of recovered digital data with a resolution of 100 dpi. The original scenes are 715 km wide and vary in length from 715 to 3,000 km. The file size is 3-13 MB depending on the length of the scene and is stored in a TIFF format. The source data was transmitted to seven ground stations and stored on binary magnetic tape. The source data on tape is no longer readable and the only remaining set of HCMM data is on black and white film.

restrictednotspecifiedMar 2025View details →
nasa20/100

MEaSUREs Greenland Ice Mapping Project (GIMP) Digital Elevation Model V001

This data set consists of an enhanced resolution digital elevation model (DEM) for the Greenland Ice Sheet. It was constructed by combining ASTER and SPOT 5 DEMs over the ice sheet periphery and margin with AVHRR photoclinometry for the interior and far north, and calibrating the data to approximate mean ICESat/GLAS elevations from 2003 to 2009. See <a href="http://nsidc.org/data/measures/gimp">Greenland Ice Mapping Project (GIMP)</a> for related data.

restrictednotspecifiedApr 2025View details →
nasa20/100

MEaSUREs Greenland Ice Mapping Project (GrIMP) Digital Elevation Model from GeoEye and WorldView Imagery V002

This data set consists of an enhanced resolution digital elevation model (DEM) for the Greenland Ice Sheet, derived from sub-meter resolution, panchromatic stereoscopic imagery collected by the GeoEye-1, WorldView-1, -2, and -3 satellites operated by Maxar Technologies. The DEM was created from in-track image pairs (i.e., both images collected minutes apart along the same orbital pass) and cross-track images (i.e., from different orbits) within the in-track imaging geometry and maximum time separation criteria. The DEM is registered to ATLAS/ICESat-2 L3A Land Ice Height, Version 5 (ATL06, V5) data collected in the summers of 2019 and 2020. See <a href="http://nsidc.org/data/measures/gimp">Greenland Ice Mapping Project (GrIMP)</a> for related data

restrictednotspecifiedMar 2025View details →
nasa20/100

MGN V RDRS DERIVED DIGITAL IMAGE MAP DATA RECORD V1.0

This data set contains the Magellan the FMAP, a full-resolution (75 meters/pixel) global mosaic, produced by the U.S. Geological Survey from Magellan F-BIDR data. The complete dataset consists of 340 quadrangles in Sinusoidal equal-area projection. Quadrangles extend approximately 12 degrees in latitude, except for those between 84 and 90 degrees North and South. Quadrangles near the equator extend 12 degrees in longitude longitudinal extent is increased to maintain a roughly constant number of samples.

restrictedus-pdMar 2025View details →
zenodo16/100

Telegram and digital methods: mapping networked conspiracy theories through platform affordances

<p>This data accompanies the paper 'Telegram and digital methods: mapping networked conspiracy theories through platform affordances'. It comprises the the network files describing the found community's topology.</p> <p>We are currently <span><em><strong>not</strong></em></span> granting requests for access to this data.</p>

restrictedJan 2022View details →

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

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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.

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