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.
13,117
datasets available to search
ShareScore release 0.9.0
Dataset results
13,117 results for “Maps”
DiscoverLife: Discoverlife Maps
Our mission is to assemble and share knowledge in order to improve education, health, agriculture, economic development, and conservation throughout the world. <p></p>http://www.discoverlife.org/<p></p>Our mission is to assemble and share knowledge in order to improve education, health, agriculture, economic development, and conservation throughout the world. <p></p>http://www.discoverlife.org/
OMAP-21: Organ Mapping Antibody Panel (OMAP) for Multiplexed Antibody-Based Imaging of Human Palatine Tonsil with MICS on MACSima 1.5
<p>OMAP-21 was designed for MICS (MACSima imaging cyclic staining) imaging of FFPE human tonsil samples. Tissue fixation and antigen retrieval is described in (<a href="https://www.biorxiv.org/content/biorxiv/early/2023/11/07/2023.10.27.564191.full.pdf">Spatial protein and RNA analysis on the same tissue section using MICS technology</a>). The MACSima technology is described in detail in the following publication (<a href="https://doi.org/10.1038/s41598-022-05841-4">MACSima imaging cyclic staining (MICS) technology reveals combinatorial target pairs for CAR T cell treatment of solid tumors</a>). Most, but not all, antibodies in this panel are recombinant antibodies with a mutated human IgG1 constant region. The described mutation removes the Fc receptor binding capacity of human IgG1, eliminating the need for additional blocking steps and reducing non-specific binding of human antibodies on human tissues. Highly multiplexed imaging is achieved through cycles of immunolabeling with FITC, PE, and APC conjugated antibodies and photobleaching to eliminate fluorescence signal between imaging cycles. The panel contains 47 antibodies and the nuclear marker DAPI for image alignment and nuclear segmentation. This OMAP provides a spatial context for all anatomical structures and most cell types present in the human palatine tonsil. OMAP-21 follows closely OMAP-1 described for human lymph nodes (<a href="https://cdn.humanatlas.io/hra-releases/v1.4/docs/omap/omap-1-human-lymph-node-ibex.html">omap-1-human-lymph-node-ibex</a>) and OMAP-10 (<a href="https://cdn.humanatlas.io/hra-releases/v1.4/docs/omap/omap-10-palatine-tonsil-macsima.html">omap-10-palatine-tonsil-macsima</a>).</p> <p>All reagents were obtained from Miltenyi Biotec and have been rigorously tested through an internal quality control system to have minimal variation between lots. For this reason, lot information is not included in this table. Analysis was performed by an accompanied software package MACSIQ View Analysis also described in the MACSima publication (<a href="https://doi.org/10.1038/s41598-022-05841-4">https://doi.org/10.1038/s41598-022-05841-4</a>). The result of the analysis is included in the uploaded dataset. In brief, the software processes the raw images of the MACSima run, generates stitched images, and then allows downstream analysis including cell segmentation, cell gating, data normalization, dimension reduction plots (tSNE, UMAP), heat maps, distance analyses and cluster analyses, all of which are interactively linked together. The MACSima system is continuously evolving, this is the second OMAP for the MACSima system. A representative dataset created using OMAP-21 can be found here:<a href="https://doi.org/10.5281/zenodo.7875937"> </a><strong> 10.5281/zenodo.11281609 .</strong></p>
World Register of Marine Species: WoRMS->EOL taxon ID map
The aim of a World Register of Marine Species (WoRMS) is to provide an authoritative and comprehensive list of names of marine organisms, including information on synonymy. WoRMS data published to EOL include taxon names and classification, images and Notes, and attribute data including Environment and Distribution.<p></p>Column 1: WoRMS ID Column 2: EOL ID
Africa Tree Database: use mapping
There are three main goals for this project. 1. To compile information on plant traits, seed dispersal, seed predation, and frugivory in Africa. 2. To store the information in a way that enables analyses of plant-animal interactions. 3. To share information about plants and animals in the database. We are compiling information from published literature. Our team uses a password-protected data entry form. If you would like to add published information that is not currently in our database, please contact us. One of the scientific goals of this project is to be able to find broad patterns and trends in seed dispersal relationships across Africa. The database is structured in a way to enable analysis of plant traits along with dispersers/predators and location information. Information about plants and the animals associated with them is viewable through this database, as well as through the Encyclopedia of Life (ATD is a content partner). Several hundred photographs of plants are viewable in Flickr and the Encyclopedia of Life.<p></p>
Map 1 in Three new species of Staphylinidae from Spain, with a new synonymy (Insecta: Coleoptera)
Map 1: Distributions of Phloeocharis baenai nov.sp. (open circle), Geostiba jaenica nov.sp. (filled circles), and Atheta tenebrarum nov.sp. (square) in southern Spain.
Fig. 3. Representative C in Allopatric chromosomal variation in Nematocharax venustus Weitzman, Menezes & Britski, 1986 (Actinopterygii: Characiformes) based on mapping of repetitive sequences
Fig. 3. Representative C-banded karyotypes of Nematocharax venustus from (a) Almada, Gongogi 1, Gongogi 2, Gongogi 3, Jequitinhonha 1, Jequitinhonha 2 and (b) Upper Contas. Bar = 5 µm.
Fig. 5 in Allopatric chromosomal variation in Nematocharax venustus Weitzman, Menezes & Britski, 1986 (Actinopterygii: Characiformes) based on mapping of repetitive sequences
Fig. 5. Representative metaphases for each different pattern reported in populations of Nematocharax venustus showing the hybridization with 18S (magenta) and 5S rDNA probes (green) (double-FISH) and only DAPI staining for (a, b) Almada, Gongogi 1, and Jequitinhonha 1; (c, d) Gongogi 3; (e, f) Gongogi 2; (g, h) Jequitinhonha 2; and (i, j) Upper Contas. The asterisks indicate the chromosomes marked by FISH. Bars = 5 µm.
Fig. 1 in Allopatric chromosomal variation in Nematocharax venustus Weitzman, Menezes & Britski, 1986 (Actinopterygii: Characiformes) based on mapping of repetitive sequences
Fig. 1. Map of Brazil (a) and collection sites (b) of Nematocharax venustus along the Almada (Almada), Contas (Upper Contas, Gongogi 1, 2, and 3), and Jequitinhonha River basins (Jequitinhonha 1 and 2) in the states of Bahia and Minas Gerais.
Fig. 4 in Allopatric chromosomal variation in Nematocharax venustus Weitzman, Menezes & Britski, 1986 (Actinopterygii: Characiformes) based on mapping of repetitive sequences
Fig. 4. Chromosomes of distinct populations of Nematocharax venustus after silver nitrate staining (Ag-NORs), base-specific fluorochrome staining (CMA 3 /DA/DAPI) and FISH with 18S (magenta) and 5S rDNA probes (green). Bar = 5 µm. The FISH with ribosomal probes confirmed the The first pattern, shared by specimens from the Almada occurrence of a single NOR system in most populations. The River and some populations from the Contas (Gongogi 1) only exception refers to one sample in the Jequitinhonha River and Jequitinhonha River basins (Jequitinhonha 1), includes basin (named Jequitinhonha 2), which presented additional 18S rRNA genes at terminal region of short arms of a 18S rDNA sites on long arms in one homologous from pair 8 sm pair (equivalent to Ag-NORs) and 5S rRNA genes at and on short arms of a single chromosomes from pair 10. This interstitial region on short arms of two pairs (16 – sm, and procedure was also informative in revealing four distribution 21 – st). The population from Gongogi 3 differs from this patterns of 18S and 5S rDNA in N. venustus (Fig. 4). pattern by presenting heteromorphic 5S rDNA cistrons
RBC-SatImg: Sentinel-2 Imagery and WatData Labels for Water Mapping
<h2>Data Description</h2> <p>This dataset is linked to the publication "Recursive classification of satellite imaging time-series: An application to land cover mapping". In this paper, we introduce the recursive Bayesian classifier (RBC), which converts any instantaneous classifier into a robust online method through a probabilistic framework that is resilient to non-informative image variations. To reproduce the results presented in the paper, the RBC-SatImg folder and the code in the GitHub repository <a href="https://github.com/neu-spiral/RBC-SatImg">RBC-SatImg</a> are required.</p> <p>The <strong>RBC-SatImg</strong> folder contains:</p> <ul> <li>Sentinel-2 time-series imagery from three key regions: Oroville Dam (CA, USA) and Charles River (Boston, MA, USA) for water mapping, and the Amazon Rainforest (Brazil) for deforestation detection.</li> <li>The <strong>RBC-WatData</strong> dataset with manually generated water mapping labels for the Oroville Dam and Charles River regions. This dataset is well-suited for multitemporal land cover and water mapping research, as it accounts for the dynamic evolution of true class labels over time.</li> <li>Pickle files with output to reproduce the results in the paper, including: <ul> <li>Instantaneous classification results for GMM, LR, SIC, WN, DWM</li> <li>Posterior results obtained with the RBC framework</li> </ul> </li> </ul> <p><strong>The Sentinel-2 images and forest labels used in the deforestation detection experiment for the Amazon Rainforest have been obtained from the <a href="https://sites.google.com/view/rainforest-challenge/multiearth-2023">MultiEarth Challenge dataset</a>.</strong></p> <h2>Folder Structure</h2> <p>The following paths can be changed in the configuration file from the GitHub repository as desired. The <strong>RBC-SatImg</strong> is organized as follows:</p> <ul> <li><strong>`./log/`</strong> (EMPTY): Default path for storing log files generated during code execution.</li> <li><strong>`./evaluation_results/`</strong>: Contains the results to reproduce the findings in the paper, including two sub-folders: <ul> <li><strong>`./classification/`</strong>:<strong> </strong> For each test site, four sub-folders are included as: <ul> <li><strong>`./accuracy/`</strong>: Each sub-folder corresponding to an experimental configuration contains pickle files with balanced classification accuracy results and information about the models. The default configuration used in the paper is "conf_00."</li> <li><strong>`./figures/`</strong>: Includes result figures from the manuscript in SVG format.</li> <li><strong>`./likelihoods/`</strong>: Contains pickle files with instantaneous classification results.</li> <li><strong>`./posteriors/`</strong>: Contains pickle files with posterior results generated by the RBC framework.</li> </ul> </li> <li><strong>`./sensitivity_analysis/`</strong>: Contains sensitivity analysis results, organized by different test sites and epsilon values.</li> </ul> </li> <li> <strong>`./Sentinel2_data/`</strong>: Contains Sentinel-2 images used for training and evaluation, organized by scenarios (Oroville Dam, Charles River, Amazon Rainforest). Selected images have been filtered and processed as explained in the manuscript. The Amazon Rainforest images and labels have been obtained from the MultiEarth dataset, and consequently, the labels are included in this folder instead of the RBC-WatData folder.</li> <li><strong>`./RBC-WatData/`</strong>: Contains the water labels that we manually generated with the <a href="https://labelstud.io/">LabelStudio tool</a>.</li> </ul>
Text-fig. 1. Simplified map of the Bohemian Cretaceous Basin (grey) showing the occurrence of Stramentum (Stramentum) pulchellum (G. B. SOWERBY JR., 1843). in A Systematic Revision Of Stramentum (Stramentum) Pulchellum (G.B. Sowerby Jr., 1843) (Cirripedia, Thoracica, Stramentidae) From The Bohemian Cretaceous Basin, The Czech Republic
Text-fig. 1. Simplified map of the Bohemian Cretaceous Basin (grey) showing the occurrence of Stramentum (Stramentum) pulchellum (G. B. SOWERBY JR., 1843).
FIGURE 7. Map showing Condylura fossil bearing localities and a in Condylura (Mammalia, Talpidae) reloaded: New insights about the fossil representatives of the genus
FIGURE 7. Map showing Condylura fossil bearing localities and a possible palaeobiogeographical scenario. The orange striped area represents the present distribution of the extant C. cristata. The orange star represents Condylura sp. (middle Miocene locality of Kalkaman Lake, Kazakhstan). The red square represents cf. Condylura sp. (late Miocene locality of Malheur River, Oregon, USA). The green triangles represent C. kowalskii and C. izabellae (Pliocene Polish localities). The blue circles represent the late Pleistocene-Holocene localities of C. cristata.
BAMS map: 2023 Canadian forest burned area dataset
<p><span>The BAMS map is a 2023 Canadian forest burned area dataset with a 10-meter resolution. It uses an unsigned integer data type, where a pixel value of 1 represents burned forest, while 0 indicates unburned areas, non-forest, or no data.</span> <span>The map is provided in the WGS 1984 coordinate system (EPSG:4326), covering the region from 145°W to 50°W longitude and from 40°N to 85°N latitude.</span></p>
Georeferenced and cropped "Half Inch" (1:126,720) maps of Burma (colonial period)
<p>Georeferenced (to WGS1984) and cropped set of about 555 historic maps of Burma at a scale of 1 inch per two miles (1:126,720) covering most of the country. Those topographic maps, originally produced and published by the Great Trigonometrical Survey of India between 1878 and 1949, have been scanned and shared with the public as "Old Survey Of India Maps” Community under a CC BY 4.0 International Licence.</p> <p>Each of the map sheet scans was georeferenced using the Latitude-Longitude corner coordinates in Everest 1830 projection. Those map sheets were cropped, keeping only the map area - to allow a seamless mosaic without the mapframe overlapping adjacent map sheets when several map sheets are put together in a GIS. Those cropped map sheets were projected from Everest 1830 to WGS1984 (EPSG:4326) - standard GPS - projection to make them easier to use and combine with other GIS data.</p> <p>Many grid cells in this dataset are covered by 2 versions of map sheets - those with hill shade and only lat-lon grid and those without hill shade and featuring a LCC map grid. </p> <p>Those map sheets can be loaded directly in any GIS such as QGIS or ESRI ArcGIS.</p> <ul> <li>The mm_HI_JBv2024_epsg4326 folder contains the cropped end georeferenced map sheets in jpg-format as well as accompagning georeference and metadata incl.<br> <ul> <li>The mm_HI_JBv2024_epsg4326_kmlLinks contains a KML file for each map sheet facilitating their easy use in Google Earth byt linking them the georeferenced map sheet file located in the mm_HI_JBv2024_epsg4326 folder. </li> <li>The mm_historicHI_EPSG4326.gdb contains three ESRI mosaic datasets to easily load all mapsheets, only mapheets with hillshading and lat-lon grid and only "regular" mapsheets without hillshading and LCC grid into ArcGIS</li> </ul> </li> <li>The mm_HI_JBv2024_scanMaps folder contains the uncropped original map scans (renamed though) in jpg-format.</li> <li>The mm_historicTopoHI_JBv2024 is a masterlist cataloguing all map sheets for easier use and matching them with the original source files as shared via the "Old Survey Of India Maps” Community (e.g. to identify new mapsheets should new maps be released)</li> </ul> <p>All georeferenced map scans are based on maps shared as part of the "Old Survey Of India Maps” via Zenodo. Links to each file can be found in the above mentined excel file and most can be also accessed through the zenodo repository below.</p> <ul> <li><a href="../records/7894128">https://zenodo.org/records/8040798</a> (128k Maps of South Asia, version 4, Published May 3, 2023)</li> </ul> <p>The file naming convention is to first give the <strong><em>number</em></strong> of the 4 degree x 4 degree block followed by the <strong><em>letter (A to P)</em></strong> of the sixteen 1 degree x 1 degree blocks in each 4 degree block eg. 38 D, and this is followed by the <strong>cardinal direction letters</strong> (NE, NW, SE, SW) to indicate the 30x30 minutes sized map position in the 1 degree block. </p> <p>This <strong><em>Number - Letter - Cardinal direction letter </em></strong>designation is followed by the <strong>year of the edition, </strong>followed by the <strong>map series type</strong> either HI-hs (hillshaded) or HI-reg (regular), followed by the <strong><em>map sheet title/name</em></strong>.</p> <p>The original files as shared as part of the "<a href="https://zenodo.org/records/11661876">Old Survey Of India Maps</a>” have been renamed to further standardize the file naming, sometimes correcting them and to make them unique in the case several editions of the same map sheet were available.</p> <p>Lineage: This version (1.01, Upload 2024-08-20) has some file attributes fixed.</p>
Actors and Satellites in the African Earth Observations Sector: Insights from the 2021 Radiant Earth ML for EO Market Map and the Union of Concerned Scientists Database
<p>The database of organizational actors, "Actors and Satellites in the African Earth Observations Sector: Insights from the 2021 Radiant Earth ML for EO Market Map and the Union of Concerned Scientists Database" analyzed in "<span>Whose Priorities? Examining Inequities in Earth </span><span>Observation Advancements Across Africa" </span>this study, is available on Zenodo, an open-access repository developed under the European OpenAIRE program. The dataset comprises information on 310 space-centric earth observation organizations, including headquarters locations. For the 31 organizations in our sample, we provide additional details including the African countries where their projects are active, the type of initiative or program, other focus areas, organizational classification (commercial, government, or nongovernmental), funding source (public or private), organizational type (research, startup, or established industry), capabilities (data analysis, data storage, image labeling, competition platforms), involvement in early warning systems, data accessibility, availability of global products, and whether they build commercial satellites.</p> <p>This open sharing of the compiled organizational data aims to promote transparency, reproducibility, and additional investigations into the evolving landscape of earth observation activities globally and across Africa. Analyses of this dataset's relationships, funding flows, and priorities can provide further insights to guide equitable advancement of earth observation capabilities.</p>
Complex Lava Tube Networks Developed Within the 1792-93 Lava Flow Field on Mount Etna (Italy): Insights for hazard assessment Supporting Informations: Maps and sections of the lava tubes
<div> <div> <div> <p>This supporting information for the above paper submitted to Frontiers in Earth Science - Volcanology, comprises Table 1, as well as the maps and sections of the 8 lava tubes analyzed in this paper, that are located within the 1792-93 lava flow field at Etna volcano. The methods used for the new surveys of the lava tubes are also explained.</p> </div> </div> </div>
Replication Package for a Systematic Literature Mapping of Agility in Safety-Critical Software Development within the Aerospace Industry
<p>This file collection package facilitates the replication of a Systematic Literature Mapping (SLM) focused on Agility in Safety-Critical Software Development within the Aerospace Industry. Authored by J. Eduardo Ferreira Ribeiro, João Gabriel Silva, and Ademar Aguiar, this dataset is dedicated to improving transparency and reproducibility in this field of study and future research.</p> <p>Specifically, the package includes:</p> <ul> <li><a href="https://github.com/zemacedo99/Replication-Package-Builder/releases/tag/v1.0.2">Replication Package Builder Version 1.0.2</a></li> <li>A list of terms (both inclusion and exclusion) used to construct the research string.</li> <li>A list of venues unrelated to the research topic, to be excluded from the results.</li> <li>The inclusion and exclusion criteria applied during the study.</li> <li>Lists of publication results from indexing services like Scopus, IEEE Xplore, Science Direct, HAL Open Science, Springer Nature, and the ACM Digital Library are all provided in CSV file format.</li> <li>A list of all publications in CSV format, compiled after the automated exclusion phase using the established inclusion and exclusion criteria.</li> <li>Finally, a complete list of all publications, including those from Snowball sampling, in XLSX format was compiled after the manual exclusion phase using the established inclusion and exclusion criteria.</li> </ul> <p>Compiled and published on Saturday, September 14, 2024, this dataset is crucial for researchers seeking to replicate or extend the SLM's findings.</p> <p>Lastly, we thank J. Antonio Dantas Macedo for contributing to developing and providing this <a href="https://github.com/zemacedo99/Replication-Package-Builder">replication package builder</a>.</p>
EOL taxon identifier map
<p>A mapping of taxon identifiers from major classification sources to EOL, of the form:</p> <p>node_id, resource_pk, resource_id, page_id, preferred_canonical_for_page</p> <ul> <li>node_id: internal to EOL; useful for some API calls</li> <li>resource_pk: identifier according to the classification provider</li> <li>resource_id: identifies the classification provider (see below)</li> <li>page_id: EOL taxon concept identifier; official, for sharing</li> <li>preferred_canonical_for_page: canonical name preferred by EOL for this taxon concept</li> </ul> <p>resource_ids, their names and descriptions, are available at: <a href="https://eol.org/resources.json" target="_blank" rel="nofollow noopener">https://eol.org/resources.json</a> </p> <div> <p>There is also a summary file with resources ids, links, and resource names here: <a href="https://github.com/KatjaSchulz/eolResources">https://github.com/KatjaSchulz/eolResources</a></p> </div> <p>To view one at a time: <a href="https://eol.org/resources/" target="_blank" rel="nofollow noopener">https://eol.org/resources/</a>[enter ID here]</p> <p>Included classification providers:</p> <p>1-> EOL Dynamic Hierarchy version 2.1, <a href="https://eol.org/resources/1">https://eol.org/resources/1</a><br>5 -> IUCN, <a href="https://eol.org/resources/5">https://eol.org/resources/5</a> <br>459 -> World Register of Marine Species (WoRMS), <a href="https://eol.org/resources/459">https://eol.org/resources/459 </a><br>676 -> National Center for Biotechnology Information (NCBI), <a href="https://eol.org/resources/676">https://eol.org/resources/676</a><br>695 -> Integrated Taxonomic Information System (ITIS), <a href="https://eol.org/resources/695">https://eol.org/resources/695</a> <br>724 -> EOL Dynamic Hierarchy version 1.1, <a href="https://eol.org/resources/724">https://eol.org/resources/724</a> <br>767 -> GBIF classification, <a href="https://eol.org/resources/767">https://eol.org/resources/767</a> <br>1072 -> Wikidata hierarchy, <a href="https://eol.org/resources/1072">https://eol.org/resources/1072</a> <br>1162 -> Catalogue of Life (COL), <a href="https://eol.org/resources/1162">https://eol.org/resources/1162</a> <br>1174 -> Dynamic Hierarchy Version 2.2.3 - Test, <a href="https://eol.org/resources/1174">https://eol.org/resources/1174</a></p> <p>commas within entries are "escaped, by, quoting", and quotes-within-quotes are ""double quoted"" </p> <p>There is also a much larger mapping file for all EOL resources: <a href="../doi/10.5281/zenodo.13253932">EOL full taxon identifier map</a></p>
Fig. 114. Distribution maps. A in Taxonomic revision of the genus Elmomorphus Sharp, 1888. II. Redescription of the genus and review of the species from India, Nepal, Bhutan, Myanmar, China, Thailand, Laos, Cambodia, and Vietnam (Coleoptera: Dryopidae)
Fig. 114. Distribution maps. A. Elmomorphus globosus sp. nov. B. E. ovalis Kodada, Selnekovič & Jäch sp. nov. C. E. minutus sp. nov. D. E. jii sp. nov. E. E. schoenmanni sp. nov. F. E. vietnamensis sp. nov.
Fig. 113. Distribution maps. A in Taxonomic revision of the genus Elmomorphus Sharp, 1888. II. Redescription of the genus and review of the species from India, Nepal, Bhutan, Myanmar, China, Thailand, Laos, Cambodia, and Vietnam (Coleoptera: Dryopidae)
Fig. 113. Distribution maps. A. Elmomorphus similis sp. nov. B. E. dentipes sp. nov. C. E. curvipes sp. nov. D. E. catenatus sp. nov. E. E. jendeki Kodada, Selnekovič & Jäch sp. nov. F. E. schillhammeri sp. nov.
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.