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”
Data for article: Neural Graph Mapping for Dense SLAM with Efficient Loop Closure
<p>Data to reproduce experiments in "Neural Graph Mapping for Dense SLAM with Efficient Loop Closure".</p> <p>It contains:</p> <ul> <li>a preprocessed version of the Kintinuous data from <a href="https://github.com/mp3guy/Kintinuous">here</a> (kintinuous_data.zip)</li> <li>novel sequences on the larger Replica scenes (replica_big_data.zip)</li> <li>ORB-SLAM2 results on <ul> <li>Kintinuous (kintinuous_slam.zip)</li> <li>Replica Big (replica_big_slam.zip)</li> <li>Replica iMAP (replica_slam.zip)</li> <li>NRGBD (nrgbd_slam.zip)</li> <li>ScanNet subset (scannet_subset_slam.zip)</li> </ul> </li> <li>Additional views for evaluation purposes as <a href="https://github.com/JingwenWang95/neural_slam_eval">proposed by Co-SLAM</a> for<br> <ul> <li>Replica Big (replica_big_data.zip)</li> <li>Replica iMAP (replica_coslam_eval.zip, modified from <a href="https://github.com/JingwenWang95/neural_slam_eval">here</a> with additional views for staircase and kitchen scenes, which were missing in the original data)</li> <li>NRGBD (nrgbd_coslam_eval.zip, from <a href="https://github.com/JingwenWang95/neural_slam_eval">here</a>)</li> </ul> </li> </ul>
Satellite Fault Mapping of 1968 & 1979 Dasht-e Bayaz earthquake ruptures, Iran
Open the record for dataset details and reuse information.
Universal Rapid Weather Prediction Model (Sonagi Model) Korea Peninsula 5 Days Forecast Result (Pressure Isobar Map)
<p>Universal Rapid Weather Prediction Model (Sonagi Model) Korea Peninsula 5 Days Forecast Result (Pressure Isobar Map)</p> <p>Each file has its altitude in front of the name of the file, and by each isobar in map directs the air current heading higher or lower altitude. And rest of the name follows the target ed UTC time. Generally, iso-temperature lines are used to indicate where air flows, but it was simulatable in Sonagi model to where air is heading by pressure, so that pressure isobar is used to indicate where the air flows.</p> <p>Input data for the prediction in Universal Rapid Weather Prediction Model (Sonagi Model) is originated from GK2A satelite of Korea Meteorological Administration. (https://apihub.kma.go.kr/) For sharing the original prediction data, contact me at somehowme@gmail.com or flyingtext@nate.com (Prediction netCDF4 files are almost 16GB in sum total.)</p>
Universal Rapid Weather Prediction Model (Sonagi Model) Pacific Ocean 5 Days Forecast Result (Pressure Isobar Map)
<p>Universal Rapid Weather Prediction Model (Sonagi Model) Pacific Ocean 5 Days Forecast Result (Pressure Isobar Map)</p> <p>Each file has its altitude in front of the name of the file, and by each isobar in map directs the air current heading higher or lower altitude. And rest of the name follows the target ed UTC time. Generally, iso-temperature lines are used to indicate where air flows, but it was simulatable in Sonagi model to where air is heading by pressure, so that pressure isobar is used to indicate where the air flows.</p> <p>Input data for the prediction in Universal Rapid Weather Prediction Model (Sonagi Model) is originated from GK2A satelite of Korea Meteorological Administration. (https://apihub.kma.go.kr/) For sharing the original prediction data, contact me at somehowme@gmail.com or flyingtext@nate.com (Prediction netCDF4 files are almost 16GB in sum total.)</p>
Data and Code for manuscript titled "Global mapping and evolution of persistent fronts in Large Marine Ecosystems over the past 40 years"
<h1>A dataset of global persistent fronts around Large Marine Ecosystems.</h1> <h2>Xing, Q., Yu, H. & Wang, H. Global mapping and evolution of persistent fronts in Large Marine Ecosystems over the past 40 years. Nat Commun 15, 4090 (2024). https://doi.org/10.1038/s41467-024-48566-w</h2>
3D Mapping from micro-CT scans of Equisetum arvense Rhizome
<p>These two animation (rotating 360 degrees) show <strong>1)</strong> a full 10cm x 5cm core of <em>E. arvense</em> L., and <strong>2)</strong> a section of nodal root whorls with good-quality mapping of parent roots, but no lateral root detail. These images were mapped by Conor Haynes-Mannering from micro-CT scans taken in the Hounsfield Lab (Sutton Bonnington campus, UK), supervised by Craig Sturrock and Brian Atkinson.</p>
Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction
<p>This dataset contains the spatially-explicit gridded database based on social media data for over 150 different tourism-related classes that depicts tourism density (supply and demand) and perceived satisfaction in Europe, and the related exposure to selected climate extreme events. Information on tourism density (supply and demand) and perceived satisfaction are categorised for Attractions, Culinary, and Hospitality, while the exposure analysis of those clases are provided in separate, specific files. The provided dataset is made accessible to support large-scale and regional tourism research and extends its relevance to other fields that are part of tourism as a complex system, such as risk assessment and vulnerability studies. For citing this work, please refer to the research article "Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction", DOI 10.1088/1748-9326/ad3e91. Suggested citation: "Camatti, N., Hrast Essenfelder, A., & Giove, S. (2024). Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction. Environmental Research Letters."</p>
MAPS 27A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 27A–C. Distribution maps for Equatorial Guinean records of (A) Wolterstorffina parvipalmata; (B) Arlequinus krebsi; (C) Hyperolius kuligae.
MAPS 26A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 26A–C. Distribution maps for Equatorial Guinean records of (A) Amnirana amnicola; (B) Amnirana lepus; (C) Chiromantis rufescens.
MAPS 23A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 23A–C. Distribution maps for Equatorial Guinean records of (A) Phrynobatrachus sandersoni; (B) Hymenochirus boettgeri; (C) Xenopus allofraseri.
MAPS 22A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 22A–C. Distribution maps for Equatorial Guinean records of (A) Phrynobatrachus batesii; (B) Phrynobatrachus calcaratus; (C) Phrynobatrachus cornutus.
MAPS 25A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 25A–C. Distribution maps for Equatorial Guinean records of (A) Ptychadena aequiplicata; (B) Aubria subsigillata; (C) Amnirana albolabris.
MAPS 24A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 24A–C. Distribution maps for Equatorial Guinean records of (A) Xenopus calcaratus; (B) Xenopus mellotropicalis; (C) Xenopus parafraseri.
MAPS 28A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 28A–C. Distribution maps for Equatorial Guinean records of (A) Geotripetes seraphini; (B) Herpele squalostoma (the insular record of Elobey Island is not showed).
MAPS 20A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 20A–C. Distribution maps for Equatorial Guinean records of (A) Petropedetes newtonii; (B) Petropedetes palmipes; (C) Petropedetes parkeri.
MAPS 21A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 21A–C. Distribution maps for Equatorial Guinean records of (A) Petropedetes vulpiae; (B) Phrynobatrachus africanus; (C) Phrynobatrachus auritus.
MAPS 19A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 19A–C. Distribution maps for Equatorial Guinean records of (A) Opisthothylax immaculatus; (B) Phlyctimantis cf. leonardi; (C) Petropedetes cameronensis.
MAPS 18A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 18A–C. Distribution maps for Equatorial Guinean records of (A) Hyperolius phantasticus; (B) Hyperolius platyceps; (C) Hyperolius tuberculatus.
MAPS 8A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 8A–C. Distribution maps for Equatorial Guinean records of (A) Leptopelis brevirostris; (B) Leptopelis calcaratus; (C) Leptopelis millsoni.
MAPS 4A–C in Synopsis of the Amphibians of Equatorial Guinea based upon the Authors' Field Work and Spanish Natural History Collections
MAPS 4A–C. Distribution maps for Equatorial Guinean records of (A) Cardioglossa escalerae; (B) Cardioglossa gracilis; (C) Cardioglossa gratiosa.
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.