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.

26

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

26 results for “Harmonisation”

Learn how ShareScore rates datasets ↗
zenodo32/100

FIGURE 1 in On Potamocypris compressa (Crustacea, Ostracoda) from temporary rock pools in Utah, USA, with notes on the taxonomic harmonisation of North American and European ostracod faunas

FIGURE 1. Potamocypris compressa; scanning electron micrographs of valves and carapaces. A: female carapace (OC.3154), 610 µm long, left lateral view; B: A-1 juvenile carapace (OC.3155), 515 µm long, left lateral view; C: A-2 juvenile carapace (oc. 3156), 420 µm long, left lateral view; D: female carapace (OC.3159), ventral view; E: detail of antero-ventral region of (D) showing valve overlap; F: detail of postero-ventral region of (D), showing valve overlap; G: female carapace (OC.3160), dorsal view; H: female left valve (OC.3163), 620 µm long, internal lateral view; I: female right valve (OC.3163), 610 µm long, internal lateral view; J: male left valve (OC.3164), 550 µm long, internal lateral view; K: male right valve (OC.3164), 550 µm long, internal lateral view. Scale bars: 100 mm (A–D, G–K), and 50 mm (E, F).

opennotspecifiedDec 2011View details →
zenodo32/100

FIGURE 2 in On Potamocypris compressa (Crustacea, Ostracoda) from temporary rock pools in Utah, USA, with notes on the taxonomic harmonisation of North American and European ostracod faunas

FIGURE 2. Potamocypris compressa; soft parts drawn in transmitted light. A: female A1 (OC.3158); B: female A2 (OC.3158); C: detail of B; D, E: female Md palps (OC.3165); F: male Mx palp and endites (OC.3161) (enditic setae omitted).

opennotspecifiedDec 2011View details →
dryad32/100

Data from: Harmonised projections of future forest resources in Europe

Open the record for dataset details and reuse information.

publicJul 2019View details →
zenodo28/100

Supplementary material 1 from: Martín-Forés I, Guerin GR, Lewis D, Gallagher RV, Vilà M, Catford JA, Pauchard A, Sparrow B (2024) Towards integrating and harmonising information on plant invasions across Australia. NeoBiota 92: 61-83. https://doi.org/10.3897/neobiota.92.113013

Supplementary information

opencc-zeroMar 2024View details →
zenodo28/100

Geographic range maps for Mammal Diversity Database v1.2 taxonomy from "Expert range maps of global mammal distributions harmonised to three taxonomic authorities"

<p>Data mirroring for long-term integrity of these critical geospatial resources.&nbsp; Included here are expert geographic range maps aligned to the taxonomy of the Mammal Diversity Database (MDD) version 1.2, which was published on 24 Sept 2020 https://zenodo.org/record/4139818.&nbsp; That taxonomy includes 6,485 total species, of which 103 are considered recently extinct, 20 are considered domestic extant, and 6,362 are considered wild extant (this corrects for 1 species, <em>Capra hircus</em>, that was incorrectly coded as &#39;domestic=0&#39; rather than &#39;domestic=1&#39; in the MDD v1.2).&nbsp; For this mapping project, only 6,362 species from MDD v1.2 have maps -- this total:</p> <ul> <li>excludes all extinct and domestic species;</li> <li>excludes 2 species for which no spatial information was available (<em>Nycticeius aenobarbus</em> and <em>Phoniscus aerosus</em>); and</li> <li>includes 2 species<em> </em>(<em>Elaphurus davidianus</em> and <em>Oryx dammah</em>) that are extinct in the wild (EW) in IUCN, have recent range information and were included in the MDD as extant.</li> </ul> <p><strong>### File inventory ###</strong></p> <ul> <li>Order-level zipped files (27 total), one for each extant order of mammals, unzips to geopackage (*.gpg) format;</li> <li>Mammalia-wide zipped file (1: &quot;MDD_Mammalia.zip&quot;), includes maps for all 27 orders, unzips to gpg format;</li> <li>Full taxonomy for MDD v1.2 (as published on https://zenodo.org/record/4139818) in csv format (&quot;MDD_v1.2_all_6485species.csv&quot;); and</li> <li>Subset of MDD v1.2 taxonomy for which range maps are here provided (6,362 species) in csv format (&quot;mdd_spList_wFamilieswOrders_mapped_6362species.csv&quot;).</li> </ul> <p><br> <strong>### Full citation ###</strong></p> <p>Marsh, C.J., Sica, Y.V., Burgin, C.J., Dorman, W.A., Anderson, R.C., del Toro Mijares, I., Vigneron, J.G., Barve, V., Dombrowik, V.L., Duong, M., Guralnick, R., Hart, J.A., Maypole, J.K., McCall, K., Ranipeta, A., Schuerkmann, A., Torselli, M.A., Lacher Jr, T., Mittermeier, R.A., Rylands, A.B., Sechrest, W., Wilson, D.E., Abba, A.M., Aguirre, L.F., Arroyo-Cabrales, J., Ast&uacute;a, D., Baker, A.M., Braulik, G., Braun, J.K., Brito, J., Busher, P.E., Burneo, S.F., Camacho, M.A., Cavallini, P., de Almeida Chiquito, E., Cook, J.A., Cserk&eacute;sz, T., Csorba, G., Cu&eacute;llar Soto, E., da Cunha Tavares, V., Davenport, T.R.B., Dem&eacute;r&eacute;, T., Denys, C., Dickman, C.R., Eldridge, M.D.B., Fernandez-Duque, E., Francis, C.M., Frankham, G., Franklin, W.L., Freitas, T., Friend, J.A., Gadsby, E.L., Garbino, G.S.T., Gaubert, P., Giannini, N., Giarla, T., Gilchrist, J.S., Gongora, J., Goodman, S.M., Gursky-Doyen, S., Hackl&auml;nder, K., Hafner, M.S., Hawkins, M., Helgen, K.M., Heritage, S., Hinckley, A., Hintsche, S., Holden, M., Holekamp, K.E., Honeycutt, R.L., Huffman, B.A., Humle, T., Hutterer, R., Ib&aacute;&ntilde;ez Ulargui, C., Jackson, S.M., Janecka, J., Janecka, M., Jenkins, P., Ju&scaron;kaitis, R., Juste, J., Kays, R., Kilpatrick, C.W., Kingston, T., Koprowski, J.L., Kry&scaron;tufek, B., Lavery, T., Lee Jr, T.E., Leite, Y.L.R., Novaes, R.L.M., Lim, B.K., Lissovsky, A., L&oacute;pez-Anto&ntilde;anzas, R., L&oacute;pez-Baucells, A., MacLeod, C.D., Maisels, F.G., Mares, M.A., Marsh, H., Mattioli, S., Meijaard, E., Monadjem, A., Morton, F.B., Musser, G., Nadler, T., Norris, R.W., Ojeda, A., Ord&oacute;&ntilde;ez-Garza, N., Pardi&ntilde;as, U.F.J., Patterson, B.D., Pavan, A., Pennay, M., Pereira, C., Prado, J., Queiroz, H.L., Richardson, M., Riley, E.P., Rossiter, S.J., Rubenstein, D.I., Ruelas, D., Salazar-Bravo, J., Schai-Braun, S., Schank, C.J., Schwitzer, C., Sheeran, L.K., Shekelle, M., Shenbrot, G., Soisook, P., Solari, S., Southgate, R., Superina, M., Taber, A.B., Talebi, M., Taylor, P., Vu Dinh, T., Ting, N., Tirira, D.G., Tsang, S., Turvey, S.T., Valdez, R., Van Cakenberghe, V., Veron, G., Wallis, J., Wells, R., Whittaker, D., Williamson, E.A., Wittemyer, G., Woinarski, J., Zinner, D., Upham, N.S., Jetz, W., 2022. Expert range maps of global mammal distributions harmonised to three taxonomic authorities. Journal of Biogeography 49 (5):&nbsp;979-992. <a href="https://doi.org/10.1111/jbi.14330">https://doi.org/10.1111/jbi.14330</a><br> &nbsp;</p> <p><strong>###</strong><strong> Data downloads on Map of Life ###</strong></p> <p>All range maps for the three taxonomic sources are openly available for non-commercial use through https://mol.org/datasets or at species-level at https://mol.org/species, or for bulk download at https://doi.org/10.48600/mol-7r3j-8066 (HMW), https://doi.org/10.48600/mol-zzrs-q778 (CMW) and https://doi.org/10.48600/mol-48vz-p413 (MDD).</p> <p>&nbsp;</p> <p><strong>###</strong><strong> Abstract ###</strong></p> <p><strong>Aim: </strong> Comprehensive, global information on species&#39; occurrences is an essential biodiversity variable and central to a range of applications in ecology, evolution, biogeography and conservation. Expert range maps often represent a species&#39; only available distributional information and play an increasing role in conservation assessments and macroecology. We provide global range maps for the native ranges of all extant mammal species harmonised to the taxonomy of the Mammal Diversity Database (MDD) mobilised from two sources, the <em>Handbook of the Mammals of the World</em> (HMW) and the <em>Illustrated Checklist of the Mammals of the World</em> (CMW).</p> <p><strong>Location: </strong> Global.</p> <p><strong>Taxon: </strong> All extant mammal species.</p> <p><strong>Methods: </strong> Range maps were digitally interpreted, georeferenced, error-checked and subsequently taxonomically aligned between the HMW (6253 species), the CMW (6431 species) and the MDD taxonomies (6362 species).</p> <p><strong>Results: </strong> Range maps can be evaluated and visualised in an online map browser at Map of Life (mol.org) and accessed for individual or batch download for non-commercial use.</p> <p><strong>Main conclusion: </strong> Expert maps of species&#39; global distributions are limited in their spatial detail and temporal specificity, but form a useful basis for broad-scale characterizations and model-based integration with other data. We provide georeferenced range maps for the native ranges of all extant mammal species as shapefiles, with species-level metadata and source information packaged together in geodatabase format. Across the three taxonomic sources our maps entail, there are 1784 taxonomic name differences compared to the maps currently available on the IUCN Red List website. The expert maps provided here are harmonised to the MDD taxonomic authority and linked to a community of online tools that will enable transparent future updates and version control.</p> <p><strong>Keywords: </strong> GIS; Mammalia; biodiversity; biogeography; conservation planning; mapping; species distributions.</p>

opencc-by-4.0Mar 2022View details →
zenodo24/100

Multi-scale harmonisation Across Physical and Socio-Economic Characteristics of a City region (MAPSECC): London, UK

<p>A new methodology and comprehensive database (<strong>M</strong>ulti-scale harmonisation <strong>A</strong>cross <strong>P</strong>hysical and <strong>S</strong>ocio-<strong>E</strong>conomic<strong> C</strong>haracteristics of a<strong> C</strong>ity region, <strong>MAPSECC</strong>) is developed that connects physical characteristics of a city (building morphology and materials, land-surface cover) with socio-economic aspects (building function, microenvironments of activity, urban transport infrastructure, residential and workplace populations, human activities), and is demonstrated for London, UK (<strong>MAPSECC: London</strong>). The database fulfils input requirements for dynamic and multi-scale urban modelling approaches. Dataset components combine and harmonise information from primary sources (often government agencies) through novel downscaling and aggregation methods to give a traceable, repeatable methodology. Further details about the processing and methodology can be found here:</p> <ul> <li><span>Hertwig, D., McGrory, M., Paskin, M., Liu, Y., Piano, S.L., Llanwarne, H., Smith, S.T. and Grimmond, S. (2025), Connecting Physical and Socio-Economic Spaces for Multi-Scale Urban Modelling: A Dataset for London. Geoscience Data Journal 12, e289.&nbsp;</span><a href="https://doi.org/10.1002/gdj3.289">https://doi.org/10.1002/gdj3.289&nbsp;</a></li> </ul> <p><strong><em>Cite the article above together with the dataset DOI in any publications using MAPSECC: London data.</em></strong></p> <h3>Files in this archive</h3> <ul> <li>Documentation <ul> <li>MAPSECC_London_documentation.pdf</li> </ul> </li> <li>Processing grid <ul> <li>Main dataset: London_500m_grid.zip</li> <li>Code: London_500m_grid_code.zip</li> </ul> </li> <li>Land-cover fractions <ul> <li>Main dataset: London_landcover.zip</li> <li>Auxiliary data: London_landcover_auxiliary.zip</li> <li>Code: London_landcover_code.zip</li> </ul> </li> <li>Building typologies (with population statistics) <ul> <li>Main dataset: Building_typologies.zip</li> <li>Auxiliary data: Building_typologies_auxiliary.zip</li> <li>Code: Building_typologies_code.zip</li> </ul> </li> <li>Building material parameters <ul> <li>Main dataset: Materials_layer_info.zip, Materials_layer_processed.zip, Materials_parameters.zip</li> <li>Code: Materials_code.zip</li> </ul> </li> <li>Human activity profiles <ul> <li>Main dataset: UK_TUS2014-15_activity_profiles.zip</li> <li>Auxiliary data: Activity_profiles_auxiliary.zip</li> <li>Code: Activity_profiles_code.zip</li> </ul> </li> <li>Transport database <ul> <li>Main dataset: London_transport_database.zip</li> <li>Code: London_transport_code.zip</li> </ul> </li> <li>Road lengths by type <ul> <li>Main dataset: London_roads_by_type.zip</li> <li>Auxiliary data: London_roads_auxiliary.zip</li> <li>Code: London_roads_code.zip</li> </ul> </li> <li>Spatial attractors <ul> <li>Main dataset: London_attractors.zip</li> <li>Auxiliary data: London_attractors_auxiliary.zip</li> <li>Code: London_attractors_code.zip</li> </ul> </li> <li>Disclaimer notice <ul> <li>disclaimer_note.txt</li> </ul> </li> </ul>

embargoedcc-by-4.0Jun 2024View 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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.