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.
197
datasets available to search
ShareScore release 0.9.0
Dataset results
197 results for “Materials Science”
Supplementary material 4 from: Dixey K, Woodburn M, Hardy H, Livermore L, Smith VS (2020) Identification of provisional Centres of Excellence for digitisation of European natural science collections. Research Ideas and Outcomes 6: e57750. https://doi.org/10.3897/rio.6.e57750
WP7 MS45 Centres of Excellence - Service Descriptions
Supplementary material 3 from: Dixey K, Woodburn M, Hardy H, Livermore L, Smith VS (2020) Identification of provisional Centres of Excellence for digitisation of European natural science collections. Research Ideas and Outcomes 6: e57750. https://doi.org/10.3897/rio.6.e57750
WP7 MS45 Centres of Excellence - Service Requirements
Supplementary material 2 from: Dixey K, Woodburn M, Hardy H, Livermore L, Smith VS (2020) Identification of provisional Centres of Excellence for digitisation of European natural science collections. Research Ideas and Outcomes 6: e57750. https://doi.org/10.3897/rio.6.e57750
WP7 MS45 Centres of Excellence - Service x Levels
Supplementary material 1 from: Dixey K, Woodburn M, Hardy H, Livermore L, Smith VS (2020) Identification of provisional Centres of Excellence for digitisation of European natural science collections. Research Ideas and Outcomes 6: e57750. https://doi.org/10.3897/rio.6.e57750
WP7 workshop for identification of provisional centres of excellence for digitisation
Supplementary material 1 from: Wilson JRU, Datta A, Hirsch H, Keet J-H, Mbobo T, Nkuna KV, Nsikani MM, Pyšek P, Richardson DM, Zengeya TA, Kumschick S (2020) Is invasion science moving towards agreed standards? The influence of selected frameworks. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 569-590. https://doi.org/10.3897/neobiota.62.53243
Data used in a citation analysis of frameworks in invasion science
Supplementary material 2 from: Wilson JRU, Datta A, Hirsch H, Keet J-H, Mbobo T, Nkuna KV, Nsikani MM, Pyšek P, Richardson DM, Zengeya TA, Kumschick S (2020) Is invasion science moving towards agreed standards? The influence of selected frameworks. In: Wilson JR, Bacher S, Daehler CC, Groom QJ, Kumschick S, Lockwood JL, Robinson TB, Zengeya TA, Richardson DM. NeoBiota 62: 569-590. https://doi.org/10.3897/neobiota.62.53243
Supplementary material to a citation analysis of frameworks in invasion science
Supplementary material 2 from: Schneider AS, Knüsel M, Altermatt F (2023) Assessment of occurrence, diversity, and biomass of macroinvertebrates in Swiss groundwater systems using citizen science data. Subterranean Biology 46: 147-164. https://doi.org/10.3897/subtbiol.46.112569
Detailed procedure for macroinvertebrate bio-area measurements
Supplementary material 3 from: Schneider AS, Knüsel M, Altermatt F (2023) Assessment of occurrence, diversity, and biomass of macroinvertebrates in Swiss groundwater systems using citizen science data. Subterranean Biology 46: 147-164. https://doi.org/10.3897/subtbiol.46.112569
Supplementary results
Supplementary material 1 from: Schneider AS, Knüsel M, Altermatt F (2023) Assessment of occurrence, diversity, and biomass of macroinvertebrates in Swiss groundwater systems using citizen science data. Subterranean Biology 46: 147-164. https://doi.org/10.3897/subtbiol.46.112569
Bio-area and biomass relationship
Replication Data for "Grammar-based fuzzing of data integration parsers in computational materials science"
Open the record for dataset details and reuse information.
Supplementary material 4 from: Howard L, van Rees CB, Dahlquist Z, Luikart G, Hand BK (2022) A review of invasive species reporting apps for citizen science and opportunities for innovation. NeoBiota 71: 165-188. https://doi.org/10.3897/neobiota.71.79597
Table S4. Mean dimension scores by app
Supplementary material 2 from: Howard L, van Rees CB, Dahlquist Z, Luikart G, Hand BK (2022) A review of invasive species reporting apps for citizen science and opportunities for innovation. NeoBiota 71: 165-188. https://doi.org/10.3897/neobiota.71.79597
Table S2. Reviewer correlation
Supplementary material 3 from: Howard L, van Rees CB, Dahlquist Z, Luikart G, Hand BK (2022) A review of invasive species reporting apps for citizen science and opportunities for innovation. NeoBiota 71: 165-188. https://doi.org/10.3897/neobiota.71.79597
Table S3. App Metadata
Supplementary material 1 from: Howard L, van Rees CB, Dahlquist Z, Luikart G, Hand BK (2022) A review of invasive species reporting apps for citizen science and opportunities for innovation. NeoBiota 71: 165-188. https://doi.org/10.3897/neobiota.71.79597
Table S1. Search parameters
Metadata schemes for materials science data
Metadata schemes for materials science data in JSON representation as implemented in TTL representation in the application profiles in the version from 01.05.2022 (<a href="https://git.rwth-aachen.de/coscine/graphs/applicationprofiles/-/commit/bfa60f39c481d8a511001437412afd5e99f475ad">gitlab</a>) of the research data management platform <a href="https://www.coscine.de/">CoScInE</a>. The schema are actively developed in the SFB1394 with the aim to construct defect phase diagrams in an automated fashion using all data from advanced experimental characterization and computer simulations produced in this project.
Supplementary material 3 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S3
Supplementary material 1 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S1
Supplementary material 2 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S2
Supplementary material 4 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Table S4
Supplementary material 5 from: Miya M, Sado T, Oka S-i, Fukuchi T (2022) The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. Metabarcoding and Metagenomics 6: e80444. https://doi.org/10.3897/mbmg.6.80444
Supplementary methods
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.