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.
10,119
datasets available to search
ShareScore release 0.9.0
Dataset results
10,119 results for “IT Support”
A rapid and versatile tool for HIV-1 Drug Resistance Genotyping by Deep Sequencing: supporting dataset
<p>See file `viral_mixes.md` and [manuscript](http://www.sciencedirect.com/science/article/pii/S0166093416301987).</p> <div class="grammarly-disable-indicator"> </div> <div class="grammarly-disable-indicator"> </div>
Supporting data: Structure-based Markov random field model for representing evolutionary constraints on functional sites
<p>Supporting data for the paper:</p> <p>Chan-Seok Jeong, Dongsup Kim. Structure-based Markov random field model for representing evolutionary constraints on functional sites. Submitted. (2015)</p> <p>See 'README' for a description of the contents.</p>
Self-similarity of solitary waves on inertia-dominated falling liquid films (Supporting data)
<p>This data accompanies the paper "Self-similarity of solitary waves on inertia-dominated falling liquid films", published in Physical Review E 93 (2016), 033121, DOI: 10.1103/PhysRevE.93.033121</p>
Supporting Data: A large-scale dataset of solar event reports from automated feature recognition modules.
<p>This is the supporting dataset for the paper:</p> <p>A large-scale dataset of solar event reports from automated feature recognition modules. Michael A. Schuh, Rafal A. Angryk, Petrus C. Martens. Journal of Space Weather and Space Climate, 2016.</p>
Frequency dispersion of small-amplitude capillary waves in viscous fluids (Supporting Data)
<p>This data accompanies the paper "Frequency dispersion of small-amplitude capillary waves in viscous fluids", published in Physical Review E.</p>
Supporting data: The role of sex and body weight on the metabolic effects of high fat diet in C57BL/6N mice.
<p>Authors: Camilla Ingvorsen*, Natasha A. Karp*, Christopher J. Lelliott</p> <p>* These authors contributed equally to this work</p> <p>This directory contains the raw data, R scripts and output files used to generate the figures and results presented in the manuscript "The role of sex and body weight in metabolic effects of high fat diet on C57BL/6N mice."</p>
Supporting Material to "Statistical Fault Attacks on Nonce-Based Authenticated Encryption Schemes"
<p>supporting_material_code/setX/ct_fault.txt: each line corresponds to one ciphertext received from the device under test while encrypting a plaintext. The bytes are separated by a comma. For every encryption a fault has been injected:</p> <p>set1: Laser fault injections targeting an AES co-processor on a smartcard microcontroller.</p> <p>set2: Clock tampering targeting an AES co-processor implemented on a general-purpose microcontroller.</p> <p>set3 & 4: Clock tampering targeting an AES software implementation (AVR crypto lib ASM) implemented on a general-purpose microcontroller (ATXmega256A3).</p> <p>supporting_material_code/main.cpp: program for key recovery which takes as input the faulty ciphertexts (ct_fault.txt)</p> <p> </p>
Research Data supporting "Linear-Scaling Density Functional Theory using the Projector Augmented Wave Method"
<p>Research Data supporting "Linear-Scaling Density Functional Theory using the Projector Augmented Wave Method" by Nicholas D. M. Hine</p>
Supporting material: Improving the Identification of Phenotypic Abnormalities and Sexual Dimorphism in Mice
<p>Supporting material for the manuscript titled "<strong>Improving the Identification of Phenotypic Abnormalities and Sexual Dimorphism in Mice", </strong>accepted for publication in Genetics.</p> <p>This material enables a complete reproducible analysis of the results presented.</p>
Supporting Data: The Paucity of frugivores in Madagascar may not be due to unpredictable temperatures or fruit resources
<p>This directory contains phenology and climate data from Betampona (Madagascar) and Kibale (Uganda), as well as code used for analyses and generating figures.</p> <p>~/DATA/ contains phenology and climate datasets from Betampona (Madagascar) and Kibale (Uganda)<br> ~/SCRIPTS/ contains scripts used in analyzing phenology and climate -- regression analysis and colwell's metrics -- and for generating figures</p>
Research data supporting "Raman spectroscopy reveals new insights into the zonal organization of native and tissue-engineered articular cartilage"
<p>This file contains the raw research data supporting the publication above.</p>
A Multi-Scale Correlative Investigation of Ductile Fracture: supporting data
<p>These files are the raw X-ray CT datasets captured using a Custom Bay instrument as detailed in the article: A Multi-Scale Correlative Investigation of Ductile Fracture (under review as of January 2017). </p>
Dispersion and viscous attenuation of capillary waves with finite amplitude (Supporting data)
<p>This data accompanies the paper "Dispersion and viscous attenuation of capillary waves with finite amplitude", published in European Physical Journal Special Topics. The spreadsheet (in OpenOffice format) contains the raw data pertaining to the studied capillary waves.</p>
Supporting data: Prevalence of sexual dimorphism in mammalian phenotypic traits
<p>Supporting material for the manuscript <strong>“</strong><strong>Prevalence of sexual dimorphism in mammalian phenotypic traits”</strong> . This manuscript was published in Nature Communication 26th January 2017</p>
Figure 2. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using COI sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 2. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using COI sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 4. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using COI and 16S rRNA sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 4. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using COI and 16S rRNA sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 3. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using 16S rRNA sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 3. - Phylogenetic relationships among Dicronocephalus species reconstructed with Bayesian inference using 16S rRNA sequences. Numbers above branches indicate ML bootstrap values and Bayesian posterior probabilities. Numbers below branches are bootstrap, symmetric resampling, and jacknife support from parsimony searches, respectively. Scale bar represents 10% nucleotide mutation rate.
Figure 1. - Bayesian phylogeny of Euptychia based on one mitochondrial (COI) and one nuclear (EF1-a) gene. Posterior probabilities are listed above and bootstrap values below branches. A dash denotes bootstrap support lower than 50%. (Euptychiaattenboroughi is not included in the analysis – see text for details.)
Figure 1. - Bayesian phylogeny of Euptychia based on one mitochondrial (COI) and one nuclear (EF1-a) gene. Posterior probabilities are listed above and bootstrap values below branches. A dash denotes bootstrap support lower than 50%. (Euptychiaattenboroughi is not included in the analysis – see text for details.)
Figure 10. - Maximum-likelihood phylogeny of Epicephala species based on sequences of the COI, ArgK and EF1α genes. Numbers above nodes are maximum-likelihood bootstrap support values based on 1,000 replications. The Japanese Epicephala species are marked in blue. Symbols right to species names donate ovipositor morphology: inverted U-shape, rounded apically; inverted V-shape, acute apically.
Figure 10. - Maximum-likelihood phylogeny of Epicephala species based on sequences of the COI, ArgK and EF1α genes. Numbers above nodes are maximum-likelihood bootstrap support values based on 1,000 replications. The Japanese Epicephala species are marked in blue. Symbols right to species names donate ovipositor morphology: inverted U-shape, rounded apically; inverted V-shape, acute apically.
Dataset supporting "Human posterior parietal cortex encodes the movement goal in a pro-/anti-reach task."
<p>Here we provide fMRI data used for the following project (for details see data description file):</p> <p>Gertz, H., & Fiehler, K. (2015). Human posterior parietal cortex encodes the movement goal in a pro-/anti-reach task. <em>Journal of Neurophysiology</em>, <em>114</em>(1), 170–83. http://doi.org/10.1152/jn.01039.2014</p> <p>Previous research on reach planning in humans has implicated a fronto-parietal network, including the precuneus (PCu), a putative human homologue of the monkey parietal reach region (PRR), and the dorsal premotor cortex (PMd). Using a pro-/anti-reach task, electrophysiological studies in monkeys have demonstrated that the movement goal rather than the location of the visual cue is encoded in PRR and PMd. However, if only the effector but not the movement goal is specified (underspecified condition) the PRR and PMd have been shown to represent all potential movement goals. In this fMRI study, we investigated whether the human PCu and PMd likewise encode the movement goal, and whether these reach-related areas also engage in situations with underspecified compared to specified movement goals. By using a pro-/anti-reach task, we were able to spatially dissociate the location of the visual cue from the location of the movement goal. In the specified conditions, pro- and anti-reaches activated similar parietal and premotor areas. In the PCu contralateral to the moving arm, we found directionally selective activation fixed to the movement goal. In the underspecified conditions, we observed activation in reach-related areas of the posterior parietal cortex, including PCu. However, the activation was substantially weaker in parietal areas and lacking in PMd. Our results suggest that human PCu encodes the movement goal rather than the location of the visual cue if the movement goal is specified and even engages in situations when only the visual cue but not the movement goal is defined.</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.