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”
Mapping Mechanostable Pulling Geometries of a Therapeutic Anticalin/CTLA-4 Protein Complex
<p>Data underlying the figures in the publication: Liu, Z. <em>et al</em>. “Mapping Mechanostable Pulling Geometries of a Therapeutic Anticalin/Ctla-4 Protein Complex” <em>Nano Lett</em>. <strong>2022</strong>, <em>22</em>, 179-87, <a href="https://doi.org/10.1021/acs.nanolett.1c03584">https://doi.org/10.1021/acs.nanolett.1c03584</a></p> <p>TOC</p> <ol> <li><strong>Figure 2-3.xlsx</strong> Source data for <em>Figures 2-3</em></li> <li><strong>Figure S2-S13.xlsx</strong> Source data for <em>Figures S2-S13</em></li> </ol>
UAS dataset for soil moisture mapping
<p>This dataset is obtained from a UAS survey on 13-14 June 2019 on the field site MFC2 located in Monteforte Cilento (SA, Italy), within the Harmonious COST action CA16219 - Harmonization of UAS techniques for agricultural and natural ecosystems monitoring-, activities framework. The general aim was soil moisture mapping using the thermal inertia method and vegetation-temperature triangle model method. A multispectral camera (tetracam) and a thermal one (FLIR tau2) were used. The NDVI was calculated from the red and near-infrared reflectance from the multispectral imagery, and the land surface temperature was generated from the thermal imagery</p>
Assembly-mapped metaproteomics gene annotations from Columbia River hyporheic sediments
<p>Annotations for the full set of genes that recruited unique peptides from the Columbia River hyporheic zone sediments manuscript.</p>
Distribution. Coasts of E Central America and NE South America from c.16° N in Honduras to ¢.27° S in S Brazil. Range into the Orinoco River system in Venezuela is mapped for this species, but it is uncertain if this population belongs to the Guiana Dolphin or the Tucuxi (S. fluviatilis). in Delphinidae
Distribution. Coasts of E Central America and NE South America from c.16° N in Honduras to ¢.27° S in S Brazil. Range into the Orinoco River system in Venezuela is mapped for this species, but it is uncertain if this population belongs to the Guiana Dolphin or the Tucuxi (S. fluviatilis).
Subspecies and Distribution. O.c.cuniculusLinnaeus,1758—N,NE&EIberianPeninsula(Spain). O.c.algirusLoche,1858—S,SW&WIberianPeninsula(Spain,Portugal),NMorocco,NAlgeria(includingHabibasI). O.c.brachyotusTrouessart,1917—SFrance. O.c.cnossiusBate,1906—CreteI. O.c.habetensisCabrera,1923—Tanger-Tetouan-AlHoceimaRegion(NMorocco). O. c. huxleyi Haeckel, 1874 — Mediterranean Is (Balearic Is, Corsica, Sardinia, Sicily and Macaronesia (Azores, Madeira, and Canary Is). Original distribution after last Ice Age restricted to Iberian Peninsula, W France, and N Africa. Ancient introductions of the nominate subspecies probably during the Ro- man period have spread it throughout Europe, and now it is present in most of W, C & E Europe and the Mediterranean and Macaronesian Is (these mostly old introductions are also shaded on the map). During the 20" century it has been released into the steppes of the Black Sea in Ukraine and Russia (N Caucasus); introduced into Australia in 1788 and again in 1859 where it is now widespread; it is found on many Pacific Is, islands off the coast of South Africa and Namibia, and in New Zealand; successfully introduced only since 1936 into South America, nowadays with a limited range in Chile, Argentina, and Falkland Is, it is also present in the Caribbean Is (all these modern introductions not shaded in the map). Worldwide as domesticated forms. in Leporidae
Subspecies and Distribution. O.c.cuniculusLinnaeus,1758—N,NE&EIberianPeninsula(Spain). O.c.algirusLoche,1858—S,SW&WIberianPeninsula(Spain,Portugal),NMorocco,NAlgeria(includingHabibasI). O.c.brachyotusTrouessart,1917—SFrance. O.c.cnossiusBate,1906—CreteI. O.c.habetensisCabrera,1923—Tanger-Tetouan-AlHoceimaRegion(NMorocco). O. c. huxleyi Haeckel, 1874 — Mediterranean Is (Balearic Is, Corsica, Sardinia, Sicily and Macaronesia (Azores, Madeira, and Canary Is). Original distribution after last Ice Age restricted to Iberian Peninsula, W France, and N Africa. Ancient introductions of the nominate subspecies probably during the Ro- man period have spread it throughout Europe, and now it is present in most of W, C & E Europe and the Mediterranean and Macaronesian Is (these mostly old introductions are also shaded on the map). During the 20" century it has been released into the steppes of the Black Sea in Ukraine and Russia (N Caucasus); introduced into Australia in 1788 and again in 1859 where it is now widespread; it is found on many Pacific Is, islands off the coast of South Africa and Namibia, and in New Zealand; successfully introduced only since 1936 into South America, nowadays with a limited range in Chile, Argentina, and Falkland Is, it is also present in the Caribbean Is (all these modern introductions not shaded in the map). Worldwide as domesticated forms.
Subspecies and Distribution. S.b.brasiliensisLinnaeus,1758—PernambucoandBahiastates(NEBrazil). S.b.andinusThomas,1897—CanarProvince(SCEcuador). S.b.apollinarisThomas,1920—Bogotaregion(CColombia). S.b.capsalisThomas,1913—CajamarcaRegion(NPeru). S.b.caracasensisMondolfi&Méndez,1957—VenezuelanCoastalRange(NCVenezuela). S.b.chillaeAnthony,1923—ElOroProvince(SWEcuador). S.b.chotanusHershkovitz,1938—ImbaburaProvince(NEcuador). S.b.defilippiCornalia,1850—upperAmazonianregionsofColombia,EEcuador,andNWPeru. S.b.fulvescens].A.Allen,1912—CaucaDepartment(SWColombia). S.b.gibsoniThomas,1918—NArgentinafromtheRioParaguay-ParanatoETucuman,Jujuy,andSaltaprovinces,NintoTarijaDepartment(SBolivia). S.b.incaThomas,1913—SEPeru. S.b.kelloggiAnthony,1923—LojaandAzuayprovinces(SEcuador). S.b.meridensisThomas,1904—AndeanParamosinNEColombiaandAndeanParamosandWLlanosinWVenezuela. S.b.minensisThomas,1901—SW&SMinasGerais(SEBrazil). S.b.paraguensisThomas,1901—Paraguay(Chacoregionandadjacenthighlands),MattoGrossoState(WCBrazil),SantaCruzDepartment(EBolivia),CorrientesandMisionesprovinces(NEArgentina). S.b.peruanusHershkovitz,1950—PeruvianAndes. S.b.sanctaemartaeHershkovitz,1950—NColombia. S.b.surdasterThomas,1901—EsmeraldasProvince(NWEcuador). S. b. tapetillus Thomas, 1913 — Rio de Janeiro and Rio Grande do Sulstates (SE Brazil). Also present in the Guinanas, N Brazil, and other areas shaded in the map, but subspecies involved not known. in Leporidae
Subspecies and Distribution. S.b.brasiliensisLinnaeus,1758—PernambucoandBahiastates(NEBrazil). S.b.andinusThomas,1897—CanarProvince(SCEcuador). S.b.apollinarisThomas,1920—Bogotaregion(CColombia). S.b.capsalisThomas,1913—CajamarcaRegion(NPeru). S.b.caracasensisMondolfi&Méndez,1957—VenezuelanCoastalRange(NCVenezuela). S.b.chillaeAnthony,1923—ElOroProvince(SWEcuador). S.b.chotanusHershkovitz,1938—ImbaburaProvince(NEcuador). S.b.defilippiCornalia,1850—upperAmazonianregionsofColombia,EEcuador,andNWPeru. S.b.fulvescens].A.Allen,1912—CaucaDepartment(SWColombia). S.b.gibsoniThomas,1918—NArgentinafromtheRioParaguay-ParanatoETucuman,Jujuy,andSaltaprovinces,NintoTarijaDepartment(SBolivia). S.b.incaThomas,1913—SEPeru. S.b.kelloggiAnthony,1923—LojaandAzuayprovinces(SEcuador). S.b.meridensisThomas,1904—AndeanParamosinNEColombiaandAndeanParamosandWLlanosinWVenezuela. S.b.minensisThomas,1901—SW&SMinasGerais(SEBrazil). S.b.paraguensisThomas,1901—Paraguay(Chacoregionandadjacenthighlands),MattoGrossoState(WCBrazil),SantaCruzDepartment(EBolivia),CorrientesandMisionesprovinces(NEArgentina). S.b.peruanusHershkovitz,1950—PeruvianAndes. S.b.sanctaemartaeHershkovitz,1950—NColombia. S.b.surdasterThomas,1901—EsmeraldasProvince(NWEcuador). S. b. tapetillus Thomas, 1913 — Rio de Janeiro and Rio Grande do Sulstates (SE Brazil). Also present in the Guinanas, N Brazil, and other areas shaded in the map, but subspecies involved not known.
LiDAR and thermal data for camera pose estimation using the depth-map correspondence algorithm
<p>Folder and file structure:</p> <ul> <li>lidar_roi.ply : ~360 MB mesh file which is a sub-part of the whole Orlova Chuka scan collected in [1]</li> <li>yyyy-mm-dd total of ~17 GB. All video data including raw data, exported video, digitised xy points and calibration results <ul> <li>2018-08-19</li> <li>2018-08-17</li> <li>2018-08-14</li> <li>2018-07-28</li> <li>2018-07-25</li> <li>2018-07-21</li> </ul> </li> </ul> <p><em>Thermal camera YYYY-MM-DD folder substructure</em>: Each of the yyyy-mm-dd dates is one recording session. Each session folder has the following structure:</p> <ul> <li>avi_files (present on some nights)</li> <li>cave_photos: (present on some nights)</li> <li>mic_and_wall_points</li> <li>tmc_files: (present on some nights) The TMC files is a proprietary format to store thermal camera video data (TeAx GmbH, Germany). on 2018-08-17, only P0000000 is provided as it doesnt' have humans blocking the scene. Each frame can be exported to csv using the ThermoViewer tool, downloadable at: https://thermalcapture.com/thermoviewer-download/</li> <li>video_calibration: results and associated data to get DLT coefficients estimated using the easyWand [2] workflow. <ul> <li>image : csv file with pixel values of the images used for annotations</li> <li>mics : 2D point locations of mics placed on the cave walls</li> <li>other_cave_surface : other points on the cave surface that were pointed at <ul> <li>calibration_output: results from easyWand runs. Choose the highest round number <ul> <li>yyyy-mm-dd_roundX_<wandscore>_cam1Tforms.mat (undistortion files)</li> <li>yyyy-mm-dd_roundX_<wandscore>_cam2Tforms.mat</li> <li>yyyy-mm-dd_roundX_<wandscore>_cam3Tforms.mat</li> <li>yyyy-mm-dd_roundX_<wandscore>_dltCoefs.csv (each column is one camera's DLT coefficients)</li> <li>yyyy-mm-dd_roundX_<wandscore>_easyWandData.mat (easyWand session file)</li> </ul> </li> <li>gravity: (mostly there) video and xy points for a falling object to align the calbiration to gravity. Output from DLTdv7 clicking session.</li> <li>wand: video and xy points of the 'wand' calibration object. Output from DLTdv7 clicking session.</li> <li>camera_intrinsic.txt or thermalcam_camprofiles_profile.txt : the camera instrinsics</li> </ul> </li> </ul> </li> </ul> <ul> <li>alignment_results: ~887 MB zipped folder. <ul> <li>dmcp_experiments: the results of DMCP alignment <ul> <li>round_01 : <em>ignore this folder</em></li> <li>round_03 : <em>ignore this folder</em></li> <li>round_05: here yyyy-mm-dd is short for all other nights. Each yyyy-mm-dd folder has multiple csv files. The 'transform.csv' is the most relevant file, as it holds the transformation matrix to move 3D points from camera triangulations into the LiDAR coordinate system. <ul> <li>2018-07-21--cam0</li> <li>2018-07-21--cam1</li> <li>2018-07-21--cam2</li> <li>yyyy-mm-dd--cam0</li> <li>yyyy-mm-dd--cam1</li> <li>yyyy-mm-dd--cam2</li> <li>...</li> <li>...</li> <li>...</li> <li>2018-08-19--cam0</li> <li>2018-08-19--cam1</li> <li>2018-08-19--cam2</li> </ul> </li> </ul> </li> </ul> </li> </ul> <p> </p> <p>CITATION: If you use this dataset for your research please cite this Zenodo dataset and the accompanying paper.</p> <p>This uploaded dataset is part of the <em>Ushichka</em> dataset [3]. The audio-video system was designed by Holger R. Goerlitz. The LiDAR data was collected by Asparuh Kamburov. Video data collected by Thejasvi Beleyur.</p> <p>References</p> <p>[1] : Kamburov, A., Goerlitz, H. R., Beleyur, T 2018, Geospatial modelling inside the "Orlova Chuka" cave in Bulgaria, <em>non-peer reviewed conference contribution</em>, XXVIII International Symposium on Modern Technologies and Professional Practise in Geodesy and related fields</p> <p>[2]: Theriault, D. H., Fuller, N. W., Jackson, B. E., Bluhm, E., Evangelista, D., Wu, Z., M., Betke & Hedrick, T. L. (2014). A protocol and calibration method for accurate multi-camera field videography. <em>Journal of Experimental Biology</em>, <em>217</em>(11), 1843-1848.</p> <p>[3]: Beleyur Thejasvi, 2021. Theoretical and empirical investigations of echolocation in bat groups, PhD dissertation, University of Konstanz (<a href="http://nbn-resolving.de/urn:nbn:de:bsz:352-2-q41u3qlu1em03">http://nbn-resolving.de/urn:nbn:de:bsz:352-2-q41u3qlu1em03</a>)</p>
Subspecies and Distribution. A.a.algirusLereboullet,1842—NWAfricafromMoroccoEtoNELibya.IntroducedinancienttimesintoMediterraneanFrance(nowextinct),E&SEIberianPeninsula,BalearicIs,andMalta;mostrecently(1890s)alsointoCanaryIs. A. a. girbaensis 1. Vesmanis, 1980 — Djerba I, Tunisia. Introduced into Puerto Rico but not established there. Modern introductions not shaded on the map. in Erinaceidae
Subspecies and Distribution. A.a.algirusLereboullet,1842—NWAfricafromMoroccoEtoNELibya.IntroducedinancienttimesintoMediterraneanFrance(nowextinct),E&SEIberianPeninsula,BalearicIs,andMalta;mostrecently(1890s)alsointoCanaryIs. A. a. girbaensis 1. Vesmanis, 1980 — Djerba I, Tunisia. Introduced into Puerto Rico but not established there. Modern introductions not shaded on the map.
Data from: Classification and mapping of low-statured 'shrubland' cover types in post-agricultural landscapes of the US Northeast
<p>Novel plant communities reshape landscapes and pose challenges for land cover classification and mapping that can constrain research and stewardship efforts. In the US Northeast, emergence of low-statured woody vegetation, or 'shrublands', instead of secondary forests in post-agricultural landscapes is well-documented by field studies, but poorly understood from a landscape perspective, which limits the ability to systematically study and manage these lands. To address gaps in classification/mapping of low-statured cover types where they have been historically rare, we developed models to predict 'shrubland' distributions at 30m resolution across New York State (NYS), using machine learning and model ensembling techniques to integrate remote sensing of structural (airborne LIDAR) and optical (satellite imagery) properties of vegetation cover. We first classified a 1m canopy height model (CHM), derived from a "patchwork" of available LIDAR coverages, to define shrubland presence/absence. Next, these non-contiguous maps were used to train a model ensemble based on temporally-segmented imagery to predict 'shrubland' probability for the entire study landscape (NYS). Approximately 2.5% of the CHM coverage area was classified as shrubland. Models using Landsat predictors trained on the classified CHM were effective at identifying shrubland (test set AUC=0.893, real-world AUC=0.904), in discriminating between shrub/young forest and other cover classes, and produced qualitatively sensible maps, even when extending beyond the original training data. After ground-truthing, we expect these shrubland maps and models will have many research and stewardship applications including wildlife conservation, invasive species mitigation and natural climate solutions. Overall our results compared favorably in terms of accuracy with existing LULC products, suggesting that incorporation of airborne LiDAR, even from a discontinuous patchwork of coverages, can improve LULC classification of historically rare but increasingly prevalent 'shrubland' habitats across broader areas.</p>
Metadata for Geospatial Mapping Tools, Indicators and Metrics for Fish Habitat in the Pacific Region
<p>Metadata on geospatial tools, indicators, metrics and scoring benchmarks useful for assessing the status of threats to freshwater fish habitat in British Columbia</p>
Distribution. Restricted and patchy range in NE Madagascar that includes the humid forest belt extending from the Marojejy Massif and the Andapa Basin to Maroantsetra; the Androranga River may be the NE distributional limit in the Tsaratanana Corridor, although further surveys are needed to confirm this, and the Antainambalana River in the Makira Forest protected area is currently regarded as the S boundary. Currently, Marojejy represents the N limit ofits distribution, although historic range maps suggest that it once occurred as far N as the Bemarivo River near Sambava. The NE distributional limit in Makira was only recently established, when a few groups were found in the Antohaka Lava Forest, but informal reports suggest that the unprotected Maherivaratra Forest, outside NE Makira, may also contain Silky Sifakas. in Indriidae
Distribution. Restricted and patchy range in NE Madagascar that includes the humid forest belt extending from the Marojejy Massif and the Andapa Basin to Maroantsetra; the Androranga River may be the NE distributional limit in the Tsaratanana Corridor, although further surveys are needed to confirm this, and the Antainambalana River in the Makira Forest protected area is currently regarded as the S boundary. Currently, Marojejy represents the N limit ofits distribution, although historic range maps suggest that it once occurred as far N as the Bemarivo River near Sambava. The NE distributional limit in Makira was only recently established, when a few groups were found in the Antohaka Lava Forest, but informal reports suggest that the unprotected Maherivaratra Forest, outside NE Makira, may also contain Silky Sifakas.
FIGURE 1. Distribution map for A in Androsace artvinensis sp. nov. (Primulaceae): A new species from northeastern Anatolia, Turkey
FIGURE 1. Distribution map for A. artvinensis (), A. armeniaca var. macrantha (), A. armeniaca var. armeniaca (), A. intermedia ().
Data from: An integrated genotyping-by-sequencing polymorphism map for over 10,000 sorghum genotypes
[No abstract entered]
FIGURE. Distribution maps of Drosera species in northern Brazil (AM and RR states). a, D. amazonica (circles) and D. roraimae (triangles). b, D. biflora (stars), D. esmeraldae (diamonds) and D. hirticalyx (triangles). in A synopsis of the genus Drosera (Droseraceae) in Brazil
FIGURE. Distribution maps of Drosera species in northern Brazil (AM and RR states). a, D. amazonica (circles) and D. roraimae (triangles). b, D. biflora (stars), D. esmeraldae (diamonds) and D. hirticalyx (triangles).
FIGURE. Distribution maps of Drosera species widely distributed in Brazil. a, D. chrysolepis. b, D. hirtella. c, D. lutescens (triangles) and D. riparia (circles). d, D. tentaculata. e, D. tomentosa. f, D. viridis. in A synopsis of the genus Drosera (Droseraceae) in Brazil
FIGURE. Distribution maps of Drosera species widely distributed in Brazil. a, D. chrysolepis. b, D. hirtella. c, D. lutescens (triangles) and D. riparia (circles). d, D. tentaculata. e, D. tomentosa. f, D. viridis.
FIGURE. Distribution maps of Drosera species endemic to Minas Gerais. a, D. ascendens (circles), D. quartzicola (triangles) and D. villosa (stars). b, D. camporupestris (triangles) and D. graomogolensis (circles). c, D. chimaera (stars), D. schwackei (triangles) and D. spirocalyx (diamonds). d, D. graminifolia (triangles), D. magnifica (star) and D. spiralis (circles). in A synopsis of the genus Drosera (Droseraceae) in Brazil
FIGURE. Distribution maps of Drosera species endemic to Minas Gerais. a, D. ascendens (circles), D. quartzicola (triangles) and D. villosa (stars). b, D. camporupestris (triangles) and D. graomogolensis (circles). c, D. chimaera (stars), D. schwackei (triangles) and D. spirocalyx (diamonds). d, D. graminifolia (triangles), D. magnifica (star) and D. spiralis (circles).
FIGURE. Maps with overlapping quadrants showing the distribution of Drosera in Brazil. a, number of species per grid of 1 degree. b, number of species per grid of 0.1 degrees. in A synopsis of the genus Drosera (Droseraceae) in Brazil
FIGURE. Maps with overlapping quadrants showing the distribution of Drosera in Brazil. a, number of species per grid of 1 degree. b, number of species per grid of 0.1 degrees.
FIGURE. Distribution maps of Drosera species with broad distribution ranges in Brazil. a, D. brevifolia. b, D. capillaris. c, D. cayennensis. d, D. communis. e, D. grantsaui. f, D. intermedia. in A synopsis of the genus Drosera (Droseraceae) in Brazil
FIGURE. Distribution maps of Drosera species with broad distribution ranges in Brazil. a, D. brevifolia. b, D. capillaris. c, D. cayennensis. d, D. communis. e, D. grantsaui. f, D. intermedia.
Distribution. Central Highlands and E Madagascar (Andringitra National Park); also recorded from the vicinity of Antsirabe, Vinanitelo, and Ikongo in the E, but these localities are imprecise and therefore not mapped. in Tenrecidae
Distribution. Central Highlands and E Madagascar (Andringitra National Park); also recorded from the vicinity of Antsirabe, Vinanitelo, and Ikongo in the E, but these localities are imprecise and therefore not mapped.
Maps of Mediterranean, Greece, Mani, Tainaron
<p>Maps for publication showing sites around Mediterranean, Greece, Mani, Tainaron</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.