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.
12,393
datasets available to search
ShareScore release 0.9.0
Dataset results
12,393 results for “materiality”
Supplementary material 3 from: Arianoutsou M, Adamopoulou C, Andriopoulos P, Bazos I, Christopoulou A, Galanidis A, Kalogianni E, Karachle PK, Kokkoris Y, Martinou AF, Zenetos A, Zikos A (2023) HELLAS-ALIENS. The invasive alien species of Greece: time trends, origin and pathways. NeoBiota 86: 45-79. https://doi.org/10.3897/neobiota.86.101778
CBD principal introduction pathways for freshwater invasive alien species of Greece per different categories
Supplementary material 3 from: Alarcon Blazquez MG, van der Veeren R, Gacutan J, James PAS (2023) Compiling preliminary SEEA Ecosystem Accounts for the OSPAR regional sea: experimental findings and lessons learned. One Ecosystem 8: e108030. https://doi.org/10.3897/oneeco.8.e108030
Overview of information on the state, policy relevance and gaps of the OSPAR contracting parties natural capital accounts.
Supplemental material and data for Phys. Rev. Lett. 128, 066801 2022
<p>Supplemental material and data for Phys. Rev. Lett. 128, 066801 (2022)</p>
Supplementary Material to "Making DL-Lite Planning Practical"
<p>Supplementary material to the paper<br> Stefan Borgwardt, Jörg Hoffmann, Alisa Kovtunova, Marcel Steinmetz: "Making DL-Lite Planning Practical" 641-645 2021 KR https://doi.org/10.24963/kr.2021/61</p> <p>It includes<br> * A PDDL pre-processor tool written in C for realizing a polynomial DNF transformation. It works in two modes: ``derived predicates'' or naive transformation.</p> <p> * Benchmark collection used in the KR21 planning & dl-lite paper. The collection contains several eKAB (original and new) domains, eKAB versions of two WSC domains, and modified PDDL benchmarks.</p> <p> </p>
Arthroscopic Extruder - Supporting Material
<p>Arthroscopic Extruder - Supporting Material</p> <p>5 videos showing the results of the tests su support the paper submission.</p>
Supplementary material 1 from: Rodríguez-Ibarra E, Violante-González J, Monks S (2023) Two new species of Acanthobothrium Blanchard, 1848 (Cestoda, Onchoproteocephalidea) from Urobatis jamaicensis (Cuvier, 1816) (Elasmobranchii, Batoidea, Myliobatiformes) of the Mexican Caribbean. ZooKeys 1169: 175-201. https://doi.org/10.3897/zookeys.1169.101968
Update to Zaragoza-Tapia et al. 2020- Host relationships and geographic distribution of species of Acanthobothrium Blanchard, 1848 (Onchoproteocephalidea, Onchobothriidae) in elasmobranchs: a metadata analysis (up to 2020 to 2022)
Supplementary material 2 from: Breedy O, McFadden CS, Cortés J (2023) An enigmatic new octocoral species (Anthozoa, Octocorallia, Malacalcyonacea) from Isla del Coco National Park. ZooKeys 1169: 317-331. https://doi.org/10.3897/zookeys.1169.100576
Phylogenetic relationships of Order Malacalcyonacea based on maximum likelihood analysis of 28S rDNA
SAC 2024 - BN4SE - Supplementary Material
<p>This material contains the review protocol and the review process documented in an Excel file for the paper "Bayesian Networks for Software Engineering: A Tertiary Study".</p>
Supplementary Materials and Raw Data for "Automated Test Suite Generation for Software Product Lines based on Quality-Diversity Optimisation"
<p>Supplementary Materials and Raw Data for "Automated Test Suite Generation for Software Product Lines based on Quality-Diversity Optimisation"</p> <p>1. OnlineSupplement.pdf------Online supplementary data for the paper</p> <p>2. RQ1-4.rar----Raw data for the paper</p> <p>3. Runtime to generate, optimise and execution test suites.xlsx -----Data used in Section 7 PRACTICAL IMPLICATIONS</p> <p>Source code of the algorithms used to produce these data can be found at GitHub https://github.com/gzhuxiangyi/SPLTestingMAP</p>
Supplementary Material for "Automated detection of an insect-infested keystone vegetation phenotype using airborne LiDAR"
<p>Ecologists, foresters and conservation practitioners need "biodiversity scanners" to effectively inventory biodiversity, audit conservation progress and track changes in ecosystem function. Quantifying biological diversity using airborne LiDAR remains challenging, especially for small invertebrates. However, insect aggregations can drastically alter landscapes and vegetation, and these "extended phenotypes" could serve as environmental landmarks of insect presence in LiDAR data. To test the feasibility of this approach, we studied the symbiotic ants that alter canopy shapes of whistling thorn acacia, a keystone tree species of the black cotton soils of east African savannas. We demonstrate a protocol of LiDAR data collection, training data preparation (including a customizable tree-segmentation algorithm) and convolutional neural network-based classification for the detection of ant-infested, within-species acacia tree phenotypic variations. Surveying ant occupancy of 402 hectares of 9,680 acacia trees took 1,000 work hours, while surveyed patterns of ant distribution was replicated by trained classifier based on an hour-long airborne LiDAR collection. We suggest that large scale surveys of insect occupancy (or insect-vectored disease) can be automated through a combination of airborne LiDAR and machine learning.</p>
Supplementary material 2 from: Liu Z (2023) An "American" silkmoth endemic to Himalayas, part I: life history and natural distribution of Antheraea compta Rothschild, 1899 (Lepidoptera, Saturniidae). Deutsche Entomologische Zeitschrift 70(2): 261-282. https://doi.org/10.3897/dez.70.102952
Light sensitivity (the darker side = ca. 544-1185 Lux, the brighter side = ca. 9300-13600 Lux) of Antheraea compta L6 (speed × 12)
Supplementary material 2 for Thesis Chapter 2 - An obligate aerobe hybridises hydrogen fermentation and carbon storage to adapt to hypoxia
<p>Supplementary material for cryo-EM tomography experiments.</p> <p>Cryo-EM Aerated Vs Anoxic.pptx contains representations from the best tomogram reconstructions.</p> <p>Anoxic_tomogram.mp4 and Aerated_tomogram.mp4 contain tomogram movies for one sample from each condition.</p> <p> </p>
Supplementary material 2 from: Hubancheva A, Bozicevic V, Morinière J, Goerlitz HR (2023) DNA metabarcoding data from faecal samples of the lesser (Myotis blythii) and the greater (Myotis myotis) mouse-eared bats from Bulgaria. Metabarcoding and Metagenomics 7: e106844. https://doi.org/10.3897/mbmg.7.106844
Taxonomic relationships and relative abundance of prey and parasite species in faecal samples from M. myotis and M. blythii from Bulgaria
test upload for anonymous review supplemental material
<p>test upload for anonymous review</p>
Supplementary material 2 from: Cumming RT, Le Tirant S, Linde JB, Solan ME, Foley EM, Eulin NEC, Lavado R, Whiting MF, Bradler S, Bank S (2023) On seven undescribed leaf insect species revealed within the recent "Tree of Leaves" (Phasmatodea, Phylliidae). ZooKeys 1173: 145-229. https://doi.org/10.3897/zookeys.1173.104413
All sampled specimens are listed with their collection data, deposition location, and GenBank accession numbers for the generated sequences.
Supplementary material 1 from: Mirzaee Z, Sadeghi S, Ballarin F, Schmitt T, Simões M, Wiemers M (2023) Life history and biogeography of the enigmatic mantid Nilomantis floweri (Mantodea, Nanomantidae). ZooKeys 1173: 275-295. https://doi.org/10.3897/zookeys.1173.107204
New insights into the life history, ecological niche modeling, and biogeography of the enigmatic mantid Nilomantis floweri (Mantodea, Nanomantidae)
Supplementary material 2 from: Najberek K, Solarz W, Wysoczański W, Węgrzyn E, Olejniczak P (2023) Flowers of Impatiens glandulifera as hubs for both pollinators and pathogens. NeoBiota 87: 1-26. https://doi.org/10.3897/neobiota.87.102576
Data on I. glandulifera individuals, bumblebees pollinating them, and additional information on statistical analyses
Supplementary material 1 from: Huang X, Gan Y, Wang L, Xu Y, Wei Z, Shi A (2023) The larval, pupal and mitogenomic characteristics of Agrilus adelphinus Kerremans, 1895 (Coleoptera, Buprestidae) from China. ZooKeys 1174: 15-33. https://doi.org/10.3897/zookeys.1174.105479
The larval, pupal and mitogenomic characteristics of Agrilus adelphinus (Coleoptera, Buprestidae) from China
Supplementary material 5 from: Maher J, Stringham OC, Moncayo S, Wood L, Lassaline CR, Virtue J, Cassey P (2023) Weed wide web: characterising illegal online trade of invasive plants in Australia. NeoBiota 87: 45-72. https://doi.org/10.3897/neobiota.87.104472
Distribution of the mean difference in price for declared plant taxa between prohibited and permitted jurisdictions
Supplementary material 3 from: Maher J, Stringham OC, Moncayo S, Wood L, Lassaline CR, Virtue J, Cassey P (2023) Weed wide web: characterising illegal online trade of invasive plants in Australia. NeoBiota 87: 45-72. https://doi.org/10.3897/neobiota.87.104472
List of search term exceptions used to remove the majority of false positives in target sample dataset
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.