Skip to main content
Powered by ShareScore

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.

1,568

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

1,568 results for “slope”

Learn how ShareScore rates datasets ↗
zenodo40/100

Fig. 5. Hippothoa connata Ortmann, 1890 in Monoporella projecta (Cheilostomata: Bryozoa), a New Uniserial Species from the Continental Shelf and Slope of Japan

Fig. 5. Hippothoa connata Ortmann, 1890, encrusting the same substrate (a molluscan shell) as Monoporella projecta, NMNS PA 18452. Scale bar: 500 µm.

opencc-by-4.0Sep 2020View details →
zenodo40/100

Fig. 1 in Monoporella projecta (Cheilostomata: Bryozoa), a New Uniserial Species from the Continental Shelf and Slope of Japan

Fig. 1. Colonies of Monoporella projecta sp. nov. A, holotype, NMNS PA 16855; B, paratype, NMNS PA 18451A. Scale bars: 1 mm.

opencc-by-4.0Sep 2020View details →
zenodo40/100

Fig. 4. Orifice and operculum. A in Monoporella projecta (Cheilostomata: Bryozoa), a New Uniserial Species from the Continental Shelf and Slope of Japan

Fig. 4. Orifice and operculum. A, orifice of zooid L4 in Fig. 2A; B, orifice of one zooid of the lower-right row in Fig. 1A; C, outer surface of operculum, NMNS PA 18451B; D, inner surface of operculum, NMNS PA 18451B. Scale bars: 50 µm.

opencc-by-4.0Sep 2020View details →
zenodo40/100

Fig. 2. Autozooids. A in Monoporella projecta (Cheilostomata: Bryozoa), a New Uniserial Species from the Continental Shelf and Slope of Japan

Fig. 2. Autozooids. A, holotype, NMNS PA 16855, ancestrulae "a" and subsequent zooids; B, paratype, NMNS PA 16857, ancestrulae "0" and subsequent zooids; C, zooid "L4" in A, separated from the substrate by cleaning; D, zooid "3" in B, moved from the original position. Scale bars: 1 mm in A, B, and 200 µm in C, D.

opencc-by-4.0Sep 2020View details →
zenodo40/100

Data Storage for Baylis and Boomhower (2022): LANDFIRE Aspect, Elevation, Slope, and Anderson 13 Fuel Models

<pre># Description Zenodo data storage for large, non-proprietary data used in &quot;The Economic Incidence of Wildfire Suppression in the United States&quot;, by Patrick Baylis and Judson Boomhower. Main OpenICPSR repository (contains code and main README.txt): https://www.openicpsr.org/openicpsr/workspace?goToPath=/openicpsr/144601 # Contents This storage mirrors the following offline directories used in the code. Each .tar file contains a directory of the same name. To replicate the existing code, users should decompress each directory into raw/, following the structure used in the code. (Note: as described in the main README, running most of the code requires access to proprietary data which is not included in this storage). ## Resulting directory structure To be consistent with the original source code, included the .tar files should be decompressed into the following directory structure within the directory designated by the RAW global in 01_Code/globals.R in the main reposistory. LANDFIRE/Aspect/ LANDFIRE/DEM_Elevation/ LANDFIRE/Slope/ LANDFIRE/US_140FBFM13_12052016/</pre>

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 1. Map showing sampling localities during scientific expeditions carried out along the Brazilian continental shelf and slope area from 1999 in New insights gained from museum collections: new deep-sea species of Typhlotanais (Tanaidacea, Typhlotanaidae) from Brazil

Fig. 1. Map showing sampling localities during scientific expeditions carried out along the Brazilian continental shelf and slope area from 1999 to 2016. Abbreviations: ES = Espírito Santo; RJ = Rio de Janeiro.

opencc-by-4.0May 2022View details →
zenodo40/100

EDANSA-2019: The Ecoacoustic Dataset from Arctic North Slope Alaska

<p>We are sharing the Ecoacoustic Dataset from Arctic North Slope Alaska (EDANSA-2019), a dataset with audio samples collected from the area of 9000 square miles throughout the 2019 summer season on the North Slope of Alaska and neighboring regions.</p> <p>There are over 27 hours of labeled data according to 28 tags with enough instances of 9 important environmental classes to train baseline convolutional recognizers.</p> <p>Please see the following GitHub page for the accompanying publication, updates about the dataset, and baseline code:<br> <a href="https://github.com/speechLabBcCuny/EDANSA-2019">https://github.com/speechLabBcCuny/EDANSA-2019 </a></p>

opencc-by-4.0Jul 2022View details →
zenodo40/100

Fig. 21. Typical habitats. A. Mediterranean grassland, Karmiel. B. Desert loess plain, Yeruham. C. Desert rocky slope, Yeruham. D in Lycosa Latreille, 1804 (Araneae, Lycosidae) of Israel, with a note on Geolycosa Montgomery, 1904

Fig. 21. Typical habitats. A. Mediterranean grassland, Karmiel. B. Desert loess plain, Yeruham. C. Desert rocky slope, Yeruham. D. Mediterranean dwarf scrub (batha), Yodfat. Photos by I. Armiach Steinpress.

opencc-by-4.0Jul 2022View details →
zenodo40/100

Text-fig. 4. a: Conglomeratic to massive sandstone facies 1, facies A are composed of Andesit (AF), Clay (CF) and Sandstone (SF) fragments lain on medium-sandstone. b: Conglomeratic to massive sandstone facies, outcropping of massive sandstone facies comprises of fine to medium grain size of grey to yellowish sandstone. c: Heterolithic sandstone-mudstone facies, intercalation of fine sand with silt and shale as type form of heterolithic sandstone mudstone as indicated by a high sand/shale ratio. d: Example outcrops of heterolithic sandstone-mudstone 2 indicated by low sand/shale ratio. e: Heterolithic fine sand and mudstone and mudstone facies, intercalation of thin sandstone and shale. f: Representative of slump deposits outcrops belong to conglomeratic to massive sandstone facies, which is indicated by the intercalation of sandstone and shale and some disturbed beds or layers as seen in slump deposits. The facies type is normally deposited within the basin floor, channel margin or as a product of the overbank deposits. In this figure the slump deposit is shown as internal bedding, some occurred on the bedding-plane. Trend slope measurement of the fold-axis revealed values N 135°E and N 108°E. in Lithofacies And Ichnofacies Of Turbidite Deposits, West Java, Indonesia

Text-fig. 4. a: Conglomeratic to massive sandstone facies 1, facies A are composed of Andesit (AF), Clay (CF) and Sandstone (SF) fragments lain on medium-sandstone. b: Conglomeratic to massive sandstone facies, outcropping of massive sandstone facies comprises of fine to medium grain size of grey to yellowish sandstone. c: Heterolithic sandstone-mudstone facies, intercalation of fine sand with silt and shale as type form of heterolithic sandstone mudstone as indicated by a high sand/shale ratio. d: Example outcrops of heterolithic sandstone-mudstone 2 indicated by low sand/shale ratio. e: Heterolithic fine sand and mudstone and mudstone facies, intercalation of thin sandstone and shale. f: Representative of slump deposits outcrops belong to conglomeratic to massive sandstone facies, which is indicated by the intercalation of sandstone and shale and some disturbed beds or layers as seen in slump deposits. The facies type is normally deposited within the basin floor, channel margin or as a product of the overbank deposits. In this figure the slump deposit is shown as internal bedding, some occurred on the bedding-plane. Trend slope measurement of the fold-axis revealed values N 135°E and N 108°E.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Current meter measurements on the southern rim slope of the Yamato Basin in the Japan Sea

<p>This dataset contains measurements from moored current meters and hydrographic observations in the southern Japan Sea.&nbsp;</p> <p>These are for the publication of the manuscript entitled &quot;Local topographic Rossby&nbsp;modes observed in the abyssal Japan Sea&quot; by Senjyu, T., which will be submitted to Journal of Physical Oceanography.&nbsp;</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Рис. 2. Laternula elliptica: А – раковина вЗрослого моллюска иЗ морЯ Дейвиса, L=87 мм, вид сбоку; Б – вид с дорсальной стороны (по: Егорова [1982]); В – расположение пустых раковин Laternula elliptica в осыпаюЩемсЯ песчаном грунте на склоне подводного холма (по рисунку иЗ полевого дневника Б.И. Сиренко, ЗИН РАН); Г – наружные отверстиЯ вводного и выводного сифонов Laternula elliptica (King, 1832) на поверхности грунта. Fig. 2. Laternula elliptica: А – shell of adult mollusc from the Davis Sea, L=87 mm, lateral view; Б – dorsal view (after: Егорова [1982]); В – empty shells of Laternula elliptica in friable sand on a slope of underwater hill (after sketch in the field journal of Dr. B.I. Sirenko, Zool. Inst. RAS); Г – external openings of inhalant and exhalant siphons of Laternula elliptica on surface of bottom deposits. in Species of warm-water origin Laternula elliptica (King, 1832) (Mollusca: Bivalvia: Laternulidae), a widespread mollusk in recent Antarctica

Рис. 2. Laternula elliptica: А – раковина вЗрослого моллюска иЗ морЯ Дейвиса, L=87 мм, вид сбоку; Б – вид с дорсальной стороны (по: Егорова [1982]); В – расположение пустых раковин Laternula elliptica в осыпаюЩемсЯ песчаном грунте на склоне подводного холма (по рисунку иЗ полевого дневника Б.И. Сиренко, ЗИН РАН); Г – наружные отверстиЯ вводного и выводного сифонов Laternula elliptica (King, 1832) на поверхности грунта. Fig. 2. Laternula elliptica: А – shell of adult mollusc from the Davis Sea, L=87 mm, lateral view; Б – dorsal view (after: Егорова [1982]); В – empty shells of Laternula elliptica in friable sand on a slope of underwater hill (after sketch in the field journal of Dr. B.I. Sirenko, Zool. Inst. RAS); Г – external openings of inhalant and exhalant siphons of Laternula elliptica on surface of bottom deposits.

opencc-by-4.0Dec 2019View details →
zenodo40/100

Рис. 1. 1 — берег искусственного воΑоема на окраине посеΛка Витязь; 2 — северный скΛон горы Туманная; 3 — Amphipyra tripartita Butler, 1878, северный скΛон горы Туманная; 4 — Amphipyra tripartita Butler, 1878, ♂, Japonia, Ashia, ex coll. Erschov, коΛΛекция ЗИН; 5 — Oligonyx vulnerata (Butler, 1878); 6 — Cryphia bryophasma (Boursin, 1951); 7 — Cryphia griseola (Nagano, 1918); 8 — Stenoloba assimilis (Warren, 1909); 9 — Hadena aberrans (Eversmann, 1856) Fig. 1. 1 — the shore of an artificial reservoir on the outskirts of the Vityaz village; 2 — the northern slope of mount Tumannaya; 3 — Amphipyra tripartita Butler, 1878, the northern slope of mount Tumannaya; 4 — Amphipyra tripartita Butler, 1878, ♂, Japonia, Ashia, ex coll. Erschov, collection of the Zoological Institute RAS; 5 — Oligonyx vulnerata (Butler, 1878); 6 — Cryphia bryophasma (Boursin, 1951), the outskirts of the Vityaz village; 7 — Cryphia griseola (Nagano, 1918); 8 — Stenoloba assimilis (Warren, 1909); 9 — Hadena aberrans (Eversmann, 1856) in Amphipyra tripartita Butler, 1878 - new species for the fauna of Russia and other Noctuidae (Insecta, Lepidoptera), found in Gamov peninsula in September 2022

Рис. 1. 1 — берег искусственного воΑоема на окраине посеΛка Витязь; 2 — северный скΛон горы Туманная; 3 — Amphipyra tripartita Butler, 1878, северный скΛон горы Туманная; 4 — Amphipyra tripartita Butler, 1878, ♂, Japonia, Ashia, ex coll. Erschov, коΛΛекция ЗИН; 5 — Oligonyx vulnerata (Butler, 1878); 6 — Cryphia bryophasma (Boursin, 1951); 7 — Cryphia griseola (Nagano, 1918); 8 — Stenoloba assimilis (Warren, 1909); 9 — Hadena aberrans (Eversmann, 1856) Fig. 1. 1 — the shore of an artificial reservoir on the outskirts of the Vityaz village; 2 — the northern slope of mount Tumannaya; 3 — Amphipyra tripartita Butler, 1878, the northern slope of mount Tumannaya; 4 — Amphipyra tripartita Butler, 1878, ♂, Japonia, Ashia, ex coll. Erschov, collection of the Zoological Institute RAS; 5 — Oligonyx vulnerata (Butler, 1878); 6 — Cryphia bryophasma (Boursin, 1951), the outskirts of the Vityaz village; 7 — Cryphia griseola (Nagano, 1918); 8 — Stenoloba assimilis (Warren, 1909); 9 — Hadena aberrans (Eversmann, 1856)

opencc-by-4.0Nov 2022View details →
zenodo40/100

CoastSeg: Beach transects and beachface slope database v2.0

<h2><strong>CoastSeg: Beach transects and beachface slope database v2.0</strong></h2> <p>Coastal shoreline-normal transects, to support shoreline extraction from satellite imagery, and tidal correction of CoastSeg-derived shoreline time-series and other shoreline data, as well as miscellaneous&nbsp; analyses of coastal shoreline data.</p> <p>&nbsp;</p> <p>These data work with the software package CoastSeg https://github.com/SatelliteShorelines/CoastSeg. More details are available on the project's website https://satelliteshorelines.github.io/CoastSeg/</p> <p>These transecst are not comprehensive in coverage, representing the best available data known to us at this time, and are provided to the user as a courtesy, but each user has the option (and is encouraged) to develop and use their own transects.</p> <h3><strong>Transects data</strong></h3> <p>1. id: unique ID code</p> <p>2. slope: beach face slope, for tidal correction of transect-based data<br>3. distance: distance in degrees between slope datum location and transect location<br>4. feature_x: transect location x<br>5. feature_y: transect location y<br>6. nearest_x: nearest slope location x<br>7. nearest_y: nearest slope location y</p> <p>Note that beach slopes are not available for every transect location. A value of NULL is used in those (relatively rare) locations.</p> <p>Beach face slope and transect data have been derived from:</p> <p>1. Doran, K.S., Long, J.W., Birchler, J.J., Brenner, O.T., Hardy, M.W., Morgan, K.L.M, Stockdon, H.F., and Torres, M.L., 2017, Lidar-derived beach morphology (dune crest, dune toe, and shoreline) for U.S. sandy coastlines (ver. 4.0, October 2020): U.S. Geological Survey data release,&nbsp;<a href="https://doi.org/10.5066/F7GF0S0Z">https://doi.org/10.5066/F7GF0S0Z</a>.</p> <p>2. Kilian Vos. (2023). Time-series of shoreline change along the Pacific Rim (v1.4) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7758183</p> <p>3. Andrew Short. (2022). Sediment size dataset for Australia [Data set]. In Australian Coastal Systems (0.1, p. XXV, 1241). Springer Cham. https://doi.org/10.5281/zenodo.7127186</p> <p>4. Vos, Kilian, Wen, Deng, Harley, Mitchell D., Turner, Ian L., &amp; Splinter, Kristen D. (2022). Beach-face slope dataset for Australia (Version 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7272538</p> <p>5. Gibbs, A.E., Ohman, K.A., Coppersmith, R., and Richmond, B.M., 2017, National Assessment of Shoreline Change: A GIS compilation of updated vector shorelines and associated shoreline change data for the north coast of Alaska, U.S. Canadian border to Icy Cape: U.S. Geological Survey data release, <a href="https://doi.org/10.5066/F72Z13N1">https://doi.org/10.5066/F72Z13N1</a>.</p> <p>6. Himmelstoss, E.A., Kratzmann, M., Hapke, C., Thieler, E.R., and List, J., 2010, The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the New England and Mid-Atlantic Coasts: U.S. Geological Survey Open-File Report 2010-1119, available at <a href="https://pubs.usgs.gov/of/2010/1119/">https://pubs.usgs.gov/of/2010/1119/</a>.</p> <p>7. Snyder, A.G., and Gibbs, A.E., 2019, National assessment of shoreline change: A GIS compilation of updated vector shorelines and associated shoreline change data for the north coast of Alaska, Icy Cape to Cape Prince of Wales: U.S. Geological Survey data release, <a href="https://doi.org/10.5066/P9H1S1PV">https://doi.org/10.5066/P9H1S1PV</a></p> <p>8. Romine, B.M., Fletcher, C.H., Genz, A.S., Barbee, M.M., Dyer, Matthew, Anderson, T.R., Lim, S.C., Vitousek, Sean, Bochicchio, Christopher, and Richmond, B.M., 2012, National Assessment of Shoreline Change:&nbsp; A GIS compilation of vector shorelines and associated shoreline change data for the sandy shorelines of Kauai, Oahu, and Maui, Hawaii: U.S. Geological Survey Open-File Report 2011-1009, available online at <a href="https://pubs.usgs.gov/of/2011/1009/">https://pubs.usgs.gov/of/2011/1009/</a>.</p> <p>9. Gibbs, A.E., Jones, B.M., and Richmond, B.M., 2020, A GIS compilation of vector shorelines and coastal bluff edge positions, and associated rate-of-change data for Barter Island, Alaska: U.S. Geological Survey data release, https://doi.org/10.5066/P9CRBC5I.</p> <p>10. Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics&ndash;Sixteen sites on the U.S. Atlantic Coast, 2013&ndash;2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9V7F6UX.</p> <p>&nbsp;</p> <p>Additional contributions:</p> <p>1. Sean Vitousek, USGS</p> <p>&nbsp;</p> <h3>Bounding boxes</h3> <p>These supporting files are the bounding boxes of vector datasets used by the program to attribute transects data</p> <ol> <li>shorelines_bounding_boxes.csv</li> <li>transects_bounding_boxes.csv</li> <li>usa_shorelines_bounding_boxes.geojson</li> <li>world_reference_shorelines_bboxes.geojson</li> </ol> <p>Reference shoreline data is from Sayre et al. (2018)</p> <p>&nbsp;</p> <div>Sayre, R., Noble, S., Hamann, S., Smith, R., Wright, D., Breyer, S., Butler, K., Van Graafeiland, K., Frye, C., Karagulle, D. and Hopkins, D., 2019. A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units. <em>Journal of Operational Oceanography</em>, <em>12</em>(sup2), pp.S47-S56.</div>

opencc-by-4.0May 2024View details →
zenodo40/100

Fig. 3 in A new glassfrog (Centrolenidae: Hyalinobatrachium) from the Topo River Basin, Amazonian slopes of the Andes of Ecuador

Fig. 3. Call of Hyalinobatrachium adespinosai sp. nov., holotype, recorded in field conditions at the type locality. Air temperature: 18 °C.

opencc-by-4.0Nov 2019View details →
zenodo40/100

Fig. 6 in A new glassfrog (Centrolenidae: Hyalinobatrachium) from the Topo River Basin, Amazonian slopes of the Andes of Ecuador

Fig. 6. Schematic graph illustrating how the linearity of the Andes facilitates the speciation process.

opencc-by-4.0Nov 2019View details →
zenodo40/100

Fig. 4 in A new glassfrog (Centrolenidae: Hyalinobatrachium) from the Topo River Basin, Amazonian slopes of the Andes of Ecuador

Fig. 4. Natural history and in-situ photographs of the new species. (A) Adult male of Hyalinobatrachium adespinosai near his egg clutch; other males were observed on the same leaf as the egg clutch. (B) Close-up of the egg clutch. (C) Spider predation on an unattended egg clutch.

opencc-by-4.0Nov 2019View details →
zenodo40/100

Fig. 1 in A new glassfrog (Centrolenidae: Hyalinobatrachium) from the Topo River Basin, Amazonian slopes of the Andes of Ecuador

Fig. 1. Phylogenetic relationships of Hyalinobatrachium inferred from the 16S mitochondrial gene under ML criteria. All sequences were downloaded from GenBank, except for those of the new species. GenBank codes are listed next to each terminal. Associated locality data is available at GenBank, as well as in Guayasamin et al. (2008), Castroviejo-Fisher et al. (2014), and Twomey et al. (2014).

opencc-by-4.0Nov 2019View details →
zenodo40/100

FIGURE 6 in A new species of Microglanis (Siluriformes: Pseudopimelodidae) from the Pacific slope of Ecuador

FIGURE 6 | Microglanis berbixae, MECN-DP 3762, paratype, 39.6 mm SL. A. Dorsal view right pectoral girdle. The arrow shows the filamentous mesocoracoid arch. B. Dorsal view right pectoral-fin spine. Scale bars = 1 mm.

opencc-by-4.0Jun 2020View details →
zenodo40/100

FIGURE 9 in A new species of Microglanis (Siluriformes: Pseudopimelodidae) from the Pacific slope of Ecuador

FIGURE 9 | Quebrada Sune, tributary of Pachijal River, Pichincha. Type locality of Microglanis berbixae.

opencc-by-4.0Jun 2020View details →
zenodo40/100

FIGURE 7 in A new species of Microglanis (Siluriformes: Pseudopimelodidae) from the Pacific slope of Ecuador

FIGURE 7 | Microglanis berbixae, close up urogenital papillae. A. Female, MECN-DP-3765, 53.5 mm SL. B. Male, MECN-DP-3765, 52.6 mm SL.

opencc-by-4.0Jun 2020View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

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