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.

1,506

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

1,506 results for “objects”

Learn how ShareScore rates datasets ↗
zenodo28/100

Fig. 1 in Hibernation of bats in post-Soviet military objects in Poland

Fig. 1. Localization of study sites. Position numbers as in the text.

opennotspecifiedDec 2020View details →
zenodo28/100

Figure 1 from: Sambaraju P (2022) Use of Worksheet events in Excel to save solver objective cell value from each iteration. Research Ideas and Outcomes 8: e79006. https://doi.org/10.3897/rio.8.e79006

Figure 1 Solver implementation: Objective cell in F4 (minimize sum of squared errors) by changing values of b1 and b2 in cells F2 and F3 respectively.

opencc-by-4.0Feb 2022View details →
zenodo28/100

Supplementary material 1 from: Sambaraju P (2022) Use of Worksheet events in Excel to save solver objective cell value from each iteration. Research Ideas and Outcomes 8: e79006. https://doi.org/10.3897/rio.8.e79006

BOD data

opencc-zeroMar 2022View details →
zenodo28/100

Clinical Dataset SE objects - GSE23554

Curated clinical datasets for Roche collaboration, Task 4a. Data source - GSE23554

opencc-zeroMar 2022View details →
zenodo28/100

Clinical Dataset SE objects - GSE15622

Curated clinical datasets for Roche collaboration, Task 4a. Data source - GSE15622

opencc-zeroMar 2022View details →
zenodo28/100

Clinical Dataset SE objects - GSE14671

<p>Curated clinical datasets for Roche collaboration, Task 4a. Data source - GSE14671</p>

opencc-zeroMar 2022View details →
zenodo28/100

Clinical Dataset SE objects - GSE33072

Curated clinical datasets for Roche collaboration, Task 4a. Data source - GSE33072

opencc-zeroMar 2022View details →
zenodo28/100

Clinical Dataset SE objects - GSE25066

Curated clinical datasets for Roche collaboration, Task 4a. Data source - GSE25066

opencc-zeroMar 2022View details →
zenodo28/100

Clinical Dataset SE objects - GSE41998

Curated clinical datasets for Roche collaboration, Task 4a. Data source - GSE41998

opencc-zeroMar 2022View details →
zenodo28/100

Clinical Dataset SE objects - GSE20194

Curated clinical datasets for Roche collaboration, Task 4a. Data source - GSE20194

opencc-zeroMar 2022View details →
zenodo28/100

Clinical Dataset SE objects - GSE50948

Curated clinical datasets for Roche collaboration, Task 4a. Data source - GSE50948

opencc-zeroMar 2022View details →
dryad28/100

Supplementary 1: Underwater photogrammetry for close-range 3D imaging of dry-sensitive objects: The case study of cephalopod beaks

<ul> <li>Technical advances in 3D imaging have contributed to quantifying and understanding biological variability and complexity. However, small, dry-sensitive objects are not easy to reconstruct using common and easily available techniques such as photogrammetry, surface scanning, or micro-CT scanning. Here we use cephalopod beaks as an example as their size, thickness, transparency, and dry-sensitive nature make them particularly challenging. We developed a new, underwater, photogrammetry protocol in order to add these types of biological structures to the panel of photogrammetric possibilities.</li> <li>We used a camera with a macro-photography mode in a waterproof housing fixed in a tank with clear water. The beak was painted and fixed on a colored rotating support. Three angles of view, two acquisitions, and around 300 pictures per specimen were taken in order to reconstruct a full 3D-model. These models were compared to others obtained with micro-CT scanning to verify their accuracy.</li> <li>The models can be obtained quickly and cheaply compared to micro-CT scanning, and have sufficient precision for quantitative inter-specific morphological analyses. Our work shows that underwater photogrammetry is a fast, non-invasive, efficient, and accurate way to reconstruct 3D models of dry-sensitive objects while conserving their shape. While the reconstruction of the shape is accurate, some internal parts cannot be reconstructed with photogrammetry as they are not visible. In contrast, these structures are visible using reconstructions based on micro-CT scanning. The mean difference between both methods is very small (10<sup>-5</sup> to 10<sup>-4</sup> mm) and is significantly lower than differences between meshes of different individuals.</li> <li>This photogrammetry protocol is portable, easy-to-use, fast, and reproducible. Micro-CT scanning, in contrast, is time-consuming, expensive and non-portable. This protocol can be applied to reconstruct the 3D shape of many other dry-sensitive objects such as shells of shellfish, cartilage, plants and other chitinous materials.</li> </ul>

opencc-zeroApr 2022View details →
zenodo28/100

Multi-dimensional hydrodynamic simulations of stellar objects

<p>Supplementary material for the&nbsp;ArbeitsgruppenInspirationsMesse event</p>

opencc-by-4.0May 2022View details →
dryad28/100

Data for Radial arm maze tests and Novel object recognition test

<p class="MsoNormal"><strong><span>Background</span></strong></p> <p class="MsoNormal"><span>Aging population is rapidly expanding worldwide, and age-related cognitive impairments proves detrimental for achieving a better productive and quality of life. Lack of effective therapies for age-related cognitive impairment focuses attention on developing preventive strategies, such as nutritional interventions, cell therapies and environmental manipulations. The objective of present study was to explore the comparative benefits of potential memory-enhancing strategies like supplementation of choline and docosahexaenoic acid (DHA) or administration of conditioned media derived from human embryonic kidney stem cells (HEK-CM) or exposure to environmental enrichment (EE), that attenuates cognitive impairments in aging mice. </span></p> <p class="MsoNormal"><strong><span>Results</span></strong></p> <p class="MsoNormal"><span>Spatial memory and cognition were decreased in normal aging mice. Aged mice exposed to dietary Ch-DHA or HEK-CM showed significant enhancement in spatial learning tasks, memory and cognition compared to the same in age-matched NAC mice. Ch-DHA and HEK-CM treated mice committed significantly lesser reference memory errors and attained a higher percentage of correct choices in spatial learning and memory tasks. Moreover, on testing for cognition in</span><span> NORT,</span><span> significantly higher number of visits to the novel object was observed in Ch-DHA supplemented and HEK-CM administered aging mice whereas HEK-CM and EE mice groups showed significantly greater number of visits to familiar object, when compared to same in age-matched NAC and HI-HEKCM groups respectively</span><span>.</span><span> </span></p> <p class="MsoNormal"><strong><span>Conclusion</span></strong></p> <p class="MsoNormal"><span>Supplementation of Ch-DHA and HEK CM treatment strategies have a higher potential [~ 20-30%] for enhancing spatial learning, memory and cognition in normal aged mice, whereas exposure to enriched environment seems to enhance only their short term memory.</span></p>

opencc-zeroJun 2022View details →
zenodo28/100

Classical Center-Surround Receptive Fields Facilitate Novel Object Detection in Retinal Bipolar Cells

<p>Database and Figures in Igor format</p>

opencc-by-4.0Jul 2022View details →
zenodo28/100

Supplementary material 5 from: Sturm U, Heyne E, Herrmann E, Arends B, Dieter A-L, Dorfman E, Drauschke F, Heller N, Kahn R, Kaiser K, Koch G, Kramar N, Mansilla Sánchez A, Mauelshagen F, Nadim T, Pell R, Petersen M, Schmidt-Loske K, Scholz H, Sterling C, Trischler H, Wagner S (2022) Anthropocenic Objects. Collecting Practices for the Age of Humans. Research Ideas and Outcomes 8: e89446. https://doi.org/10.3897/rio.8.e89446

Keynote Nature after Europe

opencc-zeroJul 2022View details →
zenodo28/100

Supplementary material 3 from: Sturm U, Heyne E, Herrmann E, Arends B, Dieter A-L, Dorfman E, Drauschke F, Heller N, Kahn R, Kaiser K, Koch G, Kramar N, Mansilla Sánchez A, Mauelshagen F, Nadim T, Pell R, Petersen M, Schmidt-Loske K, Scholz H, Sterling C, Trischler H, Wagner S (2022) Anthropocenic Objects. Collecting Practices for the Age of Humans. Research Ideas and Outcomes 8: e89446. https://doi.org/10.3897/rio.8.e89446

Flyer: Perspectives for the future of conservational institutions and collection practices

opencc-zeroJul 2022View details →
zenodo28/100

auto_dataset_for_object_detection

<p>auto_dataset_for_object_detection</p>

opencc-by-4.0Aug 2022View details →
zenodo28/100

Supplementary material 1 from: Niehues A, de Visser C, Hagenbeek FA, Karu N, Kindt ASD, Kulkarni P, Pool R, Boomsma DI, van Dongen J, van Gool AJ, `t Hoen PAC (2022) A Multi-omics Data Analysis Workflow Packaged as a FAIR Digital Object. Research Ideas and Outcomes 8: e94042. https://doi.org/10.3897/rio.8.e94042

Members of the ACTION Consortium

opencc-zeroAug 2022View details →
zenodo28/100

Figure 1 in Actionable, long-term stable and semantic web compatible identifiers for access to biological collection objects

Figure 1. Example specimen. Example physical herbarium object and its stable HTTP URI identifier.

opennotspecifiedOct 2017View 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.