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.
29,897
datasets available to search
ShareScore release 0.9.0
Dataset results
29,897 results for “activism”
Bouts of rest and physical activity in C57BL/6J mice
<p>The objective was to exploit the raw data output from a scalable home cage (type IIL IVC) monitoring (HCM) system (DVC®), to characterize the pattern of undisrupted rest and physical activity (PA) of C57BL/6J mice. The system's tracking algorithm shows that mice in isolation spend 67% of the time in bouts of long rest (≥40s) and 59% of the time was interpreted as sleep. Twenty percent is physical activity (PA), split equally between local movements and locomotion. Decomposition revealed that a day contains ~6500 discrete bouts of short and long rest, and local and locomotor movements. Mice travel ~330m per day, mainly during the dark hours, while travelling speed is similar through the light-dark cycle. Locomotor bouts are usually <0.2m and <1% are >1m. Tracking also revealed fits of abnormal behaviour. The starting positions of the bouts showed no preference for the rear over the front of the cage floor, while there was a strong bias for the peripheral (75%) over the central floor area. The composition of bouts has a characteristic circadian pattern, however, intrusive husbandry routines increased bout fragmentation by ~40%.</p> <p>Extracting electrode activations density (EAD) from the raw data yielded results close to those obtained with the tracking algorithm, with 59% of the time in long rest (<1 EAD s-1) and 20% in PA. We confirm that EAD correlates closely with movement distance (rs>0.95) and the data agreed in ~96% of the file time. Thus, albeit EAD is less informative, it may serve as a proxy for PA and rest, enabling monitoring group-housed mice. The data show that a change in housing density from one to two, and up to three mice had the same effect size on EAD (~2) with no difference between sexes. The EAD deviated significantly from this stepwise increase with 4 mice per cage, suggesting a crowdedness stress inducing sex-specific adaptations.</p> <p>We conclude that informative metrics on rest and PA can be automatically extracted from the raw data flow in near-real time (< 1 hrs). These metrics relay useful longitudinal information to those who use or care for the animals.</p>
Activation of Therapeutic Nucleic Acids from a Mechanoresponsive Drug Carrier by Low-intensity Imaging Ultrasound
<p>Data sets used for main figures of the manuscript entitled 'Activation of Therapeutic Nucleic Acids from a Mechanoresponsive Drug Carrier by Low-intensity Imaging Ultrasound'.</p>
FIG. 4 in Bat activity rates do not predict bat fatality rates at wind energy facilities
FIG. 4. Bat activity rates measured before and after turbines were built at four wind energy facilities for high- and low-frequency bats during individual seasons. The dashed line indicates a 1:1 relationship between pre- and post-construction activity rates
FIG. 3. Video stills showing B in CCTV enables the discovery of new barbastelle (Barbastella barbastellus) vocalisations and activity patterns near a roost
FIG. 3. Video stills showing B. barbastellus activity near the roost, the entrance of which is in the bottom third of the images. The bats are filmed with infrared light. A) A single bat investigates the roost tree, filmed from the side of the roost tree. This bat was moving slowly, and the image is sharp; B) Four swarming bats, filmed facing the roost entrance. As the bats move at speed when swarming, they appear blurred in a single video frame
FIG. 3 in Bat activity rates do not predict bat fatality rates at wind energy facilities
FIG. 3. Regression analysis for high-frequency bat activity rates (Panel A, n = 23) and low-frequency bat activity rates (Panel B, n = 24) recorded by raised microphones versus overall bat fatality rates at paired pre-construction and post-construction studies, grouped by U.S. Fish and Wildlife Service region
FIG. 2 in CCTV enables the discovery of new barbastelle (Barbastella barbastellus) vocalisations and activity patterns near a roost
FIG. 2. Histogram showing the number of spectrograms associated with B. barbastellus swarming around a roost, produced for each time interval from June to September 2016
FIG. 2 in Bat activity rates do not predict bat fatality rates at wind energy facilities
FIG. 2. Regression analysis for overall bat activity rates recorded by ground microphones (n = 47) versus overall bat fatality rates at paired pre-construction and post-construction studies, grouped by U.S. Fish and Wildlife Service region
FIG. 1 in Bat activity rates do not predict bat fatality rates at wind energy facilities
FIG. 1. The number of paired pre-construction bat activity and post-construction bat fatality studies (first number) and paired post-construction bat activity and post-construction bat fatality studies (second number) used for regression analyses, organized by U.S. Fish and Wildlife Service region. The Mountain-Prairie region includes five studies from southern Alberta, Canada
FIG. 4 in Bat activity at high altitudes in the Central Alps, Europe
FIG. 4. Bat activity with respect to wind speed and temperature (n = 33,241). Lines represent the cut-in values for wind farms with a high risk of bat mortality (KFFÖ, 2014)
FIG. 3 in Bat activity at high altitudes in the Central Alps, Europe
FIG. 3. Number of recorded call sequences of P. nathusii/P. kuhlii per night during summer and autumn (1.6.2013–31.10.2013; no data on 14.7.–15.7.2013)
FIG. 2 in Bat activity at high altitudes in the Central Alps, Europe
FIG. 2. Number of recorded call sequences of E. nilssonii per night during summer and autumn (1.6.2013–31.10.2013; no data on 14.7.–15.7.2013)
FIG. 1 in Bat activity at high altitudes in the Central Alps, Europe
FIG. 1. Bat call sequences per night and average night temperature (A) during summer and autumn (1.6.–31.10.2013; no recordings on 14.7.–15.7.2013) and (B) during spring (15.03.–31.05.2014). Note the different y-axis
Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data
<p>Anti-cytokine storm activity of fraxin and quercetin, alone and in combination, and their possible molecular mechanisms via TLR4 and PPARγ signaling pathways in LPS-induced RAW 264.7 cell line article data</p>
Cellulose synthase-like D movement in the plasma membrane requires enzymatic activity
<p>Cellulose Synthase-Like D (CSLD) proteins, important for tip growth and cell division, are known to generate β-1,4-glucan. However, whether they are propelled in the membrane as the glucan chains they produce assemble into microfibrils is unknown. To address this, we endogenously tagged all eight CSLDs in <em>Physcomitrium patens</em> and discovered that they all localize to the apex of tip-growing cells and to the cell plate during cytokinesis. Actin is required to target CSLD to cell tips concomitant with cell expansion, but not to cell plates, which depend on actin and CSLD for structural support. Like Cellulose Synthase (CESA), CSLD requires catalytic activity to move in the plasma membrane. We discovered that CSLD moves significantly faster, with shorter duration and less linear trajectories than CESA. In contrast to CESA, CSLD movement was insensitive to the cellulose synthesis inhibitor isoxaben, suggesting that CSLD and CESA function within different complexes possibly producing structurally distinct cellulose microfibrils.</p>
Fig. 2 in Role of microhabitat and temporal activity in facilitating coexistence of endemic carnivores on the California Channel Islands
Fig. 2.— Kernel density estimates of fine-scale circadian activity of island spotted skunks (Spilogale gracilis amphiala; solid line) and island foxes (Urocyon littoralis; dotted line) from camera data collected on Santa Cruz Island, California, USA, in 2016 and 2017 (A) and on Santa Rosa Island, California, USA, in 2017 (B). The coefficient of overlap in activity between skunks and foxes, represented by the shaded area, was Δ = 0.66 (95% CI 0.60 – 0.72) on Santa Cruz Island and Δ = 0.55 (95% CI 0.49 – 0.62) on Santa Rosa Island.
Fig. 1.—Coefficient estimates with 95 in Role of microhabitat and temporal activity in facilitating coexistence of endemic carnivores on the California Channel Islands
Fig. 1.—Coefficient estimates with 95% confidence intervals for important predictors (i.e., top models ≤ 2 ΔAIC) of microhabitat associations of island spotted skunks (Spilogale gracilis amphiala) and island foxes (Urocyon littoralis) from zero-inflated Poisson generalized linear mixed models (GLMMs; skunks) and Poisson GLMMs (foxes) using trap data collected on Santa Cruz and Santa Rosa islands, California, United States, in 2015–2017 (A and B, respectively), and from negative binomial GLMMs using camera data collected on Santa Cruz Island in 2016 and 2017 (C) and camera data collected on Santa Rosa Island in 2017 (D). Figure includes coefficient estimates for each species responding to the important predictors for the other. Gray triangles represent skunks, black circles represent foxes, solid lines for confidence intervals indicate the estimate is an important predictor for the species, and dotted lines for confidence intervals indicate the estimate is not an important predictor for the species. See Table 1 for descriptions of microhabitat variables.
FIGURES 43–50 in Microlia cayaponia, a new pollen-feeder species from Brazil (Staphylinidae: Aleocharinae: Hoplandriini) and its potential competition in pollinator activity in Cayaponia plants (Cucurbitaceae)
FIGURES 43–50. Microlia cayaponia sp. nov., aedeagus. 43, whole aedeagus, ventral; 44, median lobe, lateral; 45, apex of median lobe, lateral; 46, apex of median lobe, detail of dentate region; 47, paramere, internal view; 48, apex of paramere; 49, paramere, outer view; 50, apex of paramere. Scale bars: 43–44, 47, 49, 0.02 mm; 45, 50 0.01 mm; 46, 0.002 mm; 48, 0.003 mm.
FIGURES 26–28 in Microlia cayaponia, a new pollen-feeder species from Brazil (Staphylinidae: Aleocharinae: Hoplandriini) and its potential competition in pollinator activity in Cayaponia plants (Cucurbitaceae)
FIGURES 26–28. Microlia cayaponia sp. nov., antenna. 26, whole antenna; 27, antennomere 11; 28, detail of a sensillum of antennomere 11. Scale bars: 26, 27, 0.01 mm; 28, 0.001 mm.
FIGURES 1–2 in Microlia cayaponia, a new pollen-feeder species from Brazil (Staphylinidae: Aleocharinae: Hoplandriini) and its potential competition in pollinator activity in Cayaponia plants (Cucurbitaceae)
FIGURES 1–2. Microlia cayaponia sp. nov., holotype, male. 1, lateral habitus; 2, dorsal habitus. About 1.7 mm, from tip of the head to abdominal apex.
FIGURES 5–25 in Microlia cayaponia, a new pollen-feeder species from Brazil (Staphylinidae: Aleocharinae: Hoplandriini) and its potential competition in pollinator activity in Cayaponia plants (Cucurbitaceae)
FIGURES 5–25. Microlia cayaponia sp. nov., paratypes, 5, left mandible (dorsal), 6, left mandible (ventral), 7, mandible, ventrolateral view, with arrow indicating the medial tooth; 8, prementum; 9, labrum; 10, maxilla; tergite VIII (11, up, male;12, bottom, female); sternite VIII (13, up, male;14, bottom, female); 15, sternite X (male); 16, sternite IX (male); 17, sternites X and IX (female, arrow indicating SIX); 18, tergite X (male); 19, tergite X, female; 20, aedeagus; 21, medium lobe of aedeagus; 22, lateral lobe of aedeagus; 23, sponge-like structure of lateral lobe of aedeagus; 24, apex of lateral lobe of aedeagus; 25, spermatheca. Scale bars: 5–7, 11–25, 0.005 mm; 8, 0.0006 mm; 9, 0.002 mm; 10, 0.01 mm.
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.