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.
18,621
datasets available to search
ShareScore release 0.9.0
Dataset results
18,621 results for “development;”
Fig. 2 in Testate Amoebae as Sea-level Indicators in Northwestern Norway: Developments in Sample Preparation and Analysis
Fig. 2. Schematics of Svinøyosen and Storosen showing vegetation zonation.
Figure 2 in Development of empirical standard weight equation for Pursak chub Squalius pursakensis, an endemic cyprinid species of Northwest Anatolia
Figure 2. Area of distribution of Squalius pursakensis (dark gray area).
Figure 3 in Embryonic development of the olive fruit fly, Bactrocera oleae Rossi (Diptera: Tephritidae), in vivo
Figure 3. Hatching of Bactrocera oleae egg by 66 h (A, B, C, and D).
Figure 1 in Development of empirical standard weight equation for Pursak chub Squalius pursakensis, an endemic cyprinid species of Northwest Anatolia
Figure 1. Squalius pursakensis from Seydi Suyu in Sakarya Basin (445 mm TL).
Figure 3 in Recently resighted population of Blue-breasted Quail (Synoicus chinensis) in and around East Kolkata Wetland is under threat due to development activities
Figure 3. Showing LULC of the area where the BBQ were sighted.
Text-fig. 1 Map of the area surrounding Bohutín and the Litavka River. PA – locality. www.mapy.cz in Reconstruction Of Vegetation Development On The Floodplain Of The Litavka River In The Holocene (Central Bohemia, Brdy Mts.)
Text-fig. 1 Map of the area surrounding Bohutín and the Litavka River. PA – locality. www.mapy.cz
Figure 3 in Reproduction, postnatal development, and social behavior of Ellobius lutescens Thomas 1897 (Mammalia: Rodentia) in captivity
Figure 3. The newborn incisors (A) and the adult incisors (B).
Figure 17 in A study of the pupal development of Calliphora vomitoria (L., 1758) (Calliphoridae: Diptera) at different temperatures
Figure 17. Darkness of the eye's border.
Figure 16 in A study of the pupal development of Calliphora vomitoria (L., 1758) (Calliphoridae: Diptera) at different temperatures
Figure 16. Pigmentation of the eyes a) dorsal view, b) lateral view.
Figure 13 in A study of the pupal development of Calliphora vomitoria (L., 1758) (Calliphoridae: Diptera) at different temperatures
Figure 13. The dorsal view of depression formed in the middle of the abdomen.
Figure 12 in A study of the pupal development of Calliphora vomitoria (L., 1758) (Calliphoridae: Diptera) at different temperatures
Figure 12. Borders of the abdominal segments a) lateral view, b) dorsal view.
Figure 5. a and b in A study of the pupal development of Calliphora vomitoria (L., 1758) (Calliphoridae: Diptera) at different temperatures
Figure 5. a and b) Dorsal view of the respiratory horns, c) ventral view of leg and wing buds.
Figure 6. a in A study of the pupal development of Calliphora vomitoria (L., 1758) (Calliphoridae: Diptera) at different temperatures
Figure 6. a) Nonadjacent respiratory horns, b) enlarged view of the respiratory horns.
Figure 4 in A study of the pupal development of Calliphora vomitoria (L., 1758) (Calliphoridae: Diptera) at different temperatures
Figure 4. Dorsal view of the Cryptocephalic pupae.
Figure 20 in A study of the pupal development of Calliphora vomitoria (L., 1758) (Calliphoridae: Diptera) at different temperatures
Figure 20. Pigmentation of the costal vein on the wing.
Figure 18 in A study of the pupal development of Calliphora vomitoria (L., 1758) (Calliphoridae: Diptera) at different temperatures
Figure 18. Color of the eyes a) dorsal view, b) lateral view.
Figure 2. a in A study of the pupal development of Calliphora vomitoria (L., 1758) (Calliphoridae: Diptera) at different temperatures
Figure 2. a) Pupae in viscous form, b) attached pharyngeal skeleton to the puparium.
pyMOR QR Decomposition and Development of Heuristics - Data
Open the record for dataset details and reuse information.
A machine learning model reveals expansive downregulation of ligand-receptor interactions enhancing lymphocyte infiltration in melanoma with developed resistance to Immune Checkpoint Blockade
<p>Data repository containing the data to reproduce the results and findings that are published in:</p> <p>Sahni, S., Wang, B., Wu, D. <em>et al.</em> A machine learning model reveals expansive downregulation of ligand-receptor interactions that enhance lymphocyte infiltration in melanoma with developed resistance to immune checkpoint blockade. <em>Nat Commun</em> <strong>15</strong>, 8867 (2024). https://doi.org/10.1038/s41467-024-52555-4</p>
Developing and Benchmarking Sulfate and Sulfamate Force Field Parameters via Ab Initio Molecular Dynamics Simulations to Accurately Model Glycosaminoglycan Electrostatic Interactions
<p>To cite and for more details: Riopedre-Fernandez et al. <em>J. Chem. Inf. Model.</em> <strong>2024</strong>, 64 (18), 7122–7134. DOI: <a href="https://doi.org/10.1021/acs.jcim.4c00981">https://doi.org/10.1021/acs.jcim.4c00981</a></p> <p>The dataset includes molecular dynamics simulations of sulfated saccharides and their sulfated analogs in the presence of calcium cations in aqueous solution. Several force field parameter sets were compared (CHARMM36, GLYCAM06, AMOEBA, Drude) and new have been developed (prosECCo75 and GLYCAM-ECC75).</p> <p>The uploaded files contain the following simulation input files or/and simulation trajectories:</p> <p>1) Sulfated_Molecules_Umbrella_Sampling_AIMD: Umbrella sampling ab initio molecular dynamics simulations of calcium-methylsufate and calcium N-methylsulfamate ion pairs in water.</p> <p>2) Sulfated_Molecules_Umbrella_Sampling_FFMD: Umbrella sampling force field molecular dynamics simulations of calcium-methylsufate and calcium N-methylsulfamate ion pairs in water.</p> <p>3) Sulfated_Molecules_AWH_FFMD: Accelerated weight histogram force field molecular dynamics simulations of calcium interacting with both methylsufate and N-methylsulfamate in water.</p> <p>4) Disaccharides_FFMD: Unbiased force field molecular dynamics simulations of calcium-sulfated disaccharide aqueous solutions.</p> <p>UPD. Version 2.0 has updated one of the disaccharide-containing simulations (GLYCAM06, N-sulfation) due to incorrect calcium LJ parameters in the original upload.</p>
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.