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.
299
datasets available to search
ShareScore release 0.9.0
Dataset results
299 results for “Timing of activity”
Time series of high-frequency profiles of depth, temperature, dissolved oxygen, conductivity, specific conductance, chlorophyll a, turbidity, pH, oxidation-reduction potential, photosynthetically active radiation, colored dissolved organic matter, phycocyanin, phycoerythrin, and descent rate for Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2013-2025
Depth profiles of water biogeochemical properties were collected with SeaBird Electronics (SBE) Conductivity, Temperature, and Depth (CTD) profilers from 2013-2025 at five drinking water reservoirs in southwestern Virginia, USA. The study reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the town of Pulaski, Virginia. The dataset consists of CTD depth profiles measured at the deepest site of each reservoir adjacent to the dam as well as other upstream reservoir sites. The profiles were collected approximately fortnightly in the spring months, weekly in the summer and early autumn, and monthly in the late autumn and winter. Beaverdam Reservoir, Carvins Cove Reservoir, and Falling Creek Reservoir were sampled every year in the dataset (2013-2025); Spring Hollow Reservoir was only sampled 2013-2017 and 2019; and Gatewood Reservoir was only sampled in 2016. Data availability differs across years due to additional sensors that have been added or replaced over time. From 2013-2016, profiles were taken with a CTD equipped with an SBE 43 Dissolved Oxygen sensor and an ECO FLNTU sensor for turbidity and chlorophyll. From 2017-2025, profiles were taken with a CTD equipped with an SBE 43 Dissolved Oxygen sensor, an ECO FLNTU sensor for turbidity and chlorophyll, a PAR-LOG ICSW sensor for photosynthetically active radiation, and a SBE 27 pH and ORP (oxidation-reduction potential) sensor. In 2022 and 2023, profiles were also taken with an additional CTD equipped with an SBE 43 Dissolved Oxygen sensor; an ECO Triplet Scattering Fluorescence sensor for
CoHERE Work Package 5 Survey of free time activities amongst Latvian schoolchildren
<p>The quantitative survey «Youth and leisure time activities, informal education and cultural heritage» was carried out as part of Work Package 5 (Education, heritage and identities) of 'Critical Heritages: Performing and presenting identities in Europe' (https://research.ncl.ac.uk/cohere/researchstrands/). This Work Package develops best practices in the production and transmission of European heritages and identities within two sectors that face challenges in an age of immigration and globalization, namely education and cultural heritage production. It explores how European identity is shaped through formal and informal learning situations both in and outside the classroom with the purpose of enhancing school curricula and informal learning at heritage sites by integrating innovative technologies and including multicultural perspectives.</p> <p>The target group: youth (age 16 to 19) from secondary schools and professional education schools in Latvia </p> <p>Sample size: 1047. Time period: December 2017 – March 2018.</p> <p>Method: a self-administered questionnaire.</p> <p>The aim of the survey is to examine how cultural heritage shape different identities in Europe, representing ideas of place, history, traditions and sense of belonging.</p> <p>Tasks of the survey:<br> 1) to get information about leisure time activities of the youth and their participation in different informal education activities;<br> 2) to examine youth opinion about the role of cultural heritage and their involvement in safeguarding cultural heritage;<br> 3) to analyse the role of cultural heritage in formation of local, national and European identities of the young people.</p>
Photosynthetically active radiation (PAR) time series from lagoon sites along the Alaska Beaufort Sea coast, 2018-ongoing
To understand seasonality and production as part of the Beaufort Lagoon Ecosystem Long Term Ecological Research program, photosynthetically active radiation (PAR) is recorded in situ, starting August 2018 across the Beaufort Sea coast. Spherical quantum sensors measure PAR ~0.5 m above the benthos at underwater mooring locations and cosine sensors measure incident PAR at the surface at a permanent land-based station.
CCE LTER process cruise, in the California Current region, event log records including date, time, position and activity for use in post-cruise data integration based on co-sampling indexes. From 2006 to 2019 CCE LTER used a locally developed event logging system. During P2107, CCE LTER started to utilize the R2R Event Logger on UNOL ships, 2006 - 2024 (ongoing).
The event logger program developed and maintained by the California Cooperative Oceanic Fisheries Investigations, SIO, program is used aboard CCE LTER process cruises to create indexes with temporal, spatial and activity information for post-cruise data integration. The event log is configured aboard the ship for the recording of sampling events by both ship crew personnel on the bridge, and research personnel in the lab. The event log is processed post-cruise to correct for various errors.
SBC LTER: Pore water constituents and residence times (Radon activity) from Santa Barbara beaches, 2012-2013
Constituents of beach pore water and parameters for calculating residence times are reported for two beaches in the Santa Barbara area, Isla Vista Beach and East Campus Beach, from July 2012 to June 2013. This dataset reports beach pore water concentrations of ammonium and nitrate, total dissolved Nitrogen and Carbon, particulate Nitrogen and Carbon, Radon, salinity, conductance, Oxygen and water temperature. Residence time ("Tau") can be calculated from Radon-222 activities in nearshore seawater, in pore water and at equilibrium, which are presented in a second table (also available in published paper). Results from these data were reported in: Goodridge, B. M. and J. M. Melack. 2014. Temporal evolution and variability of dissolved inorganic nitrogen in beach pore water revealed using radon residence times. Environmental Science and Technology, 48: 14211-14218. DOI:10.1021/es504017j
Original single session datasets from "Slowly evolving dopaminergic activity modulates the moment-to-moment probability of reward-related self-timed movements."
<p>This archive contains the original single-session recording datasets associated with the paper "Slowly evolving dopaminergic activity modulates the moment-to-moment probability of reward-related self-timed movements" by Allison E Hamilos, Giulia Spedicato, Ye Hong, Fangmiao Sun, Yulong Li, and John A Assad (https://doi.org/10.1101/2020.05.13.094904). Files can be loaded and collated with code from our GitHub repository to reproduce all analyses (https://www.github.com/harvardschoolofmouse).</p>
Dataset for "Study of 72 pulsars discovered in the PALFA survey: Timing analysis, glitch activity, emission variability, and a pulsar in an eccentric binary"
<p>This repository includes TEMPO-readable ephemerides associated with the final timing solutions presented in Table 3 (text-readable format; .par files) of the manuscript, "<em>Study of 72 pulsars discovered in the PALFA survey: Timing analysis, glitch activity, emission variability, and a pulsar in an eccentric binary</em>" accepted to the Astrophysical Journal (October 2021).</p>
New observations of recently active wrinkle ridges in the lunar mare: Implications for the timing and origin of lunar tectonics
<p>Enclosed are the for the tectonically deformed lunar impact crater and recently active wrinkle ridge datasets produced in Nypaver and Thomson, 2022 (GRL). These data are presented in Figure 2 of that Manuscript and are readable in a GIS-based software (shapefile) and the LROC Quickmap interface (json). Lat/Long coordinates for all tectonically deformed craters are also presented in CSV format.</p>
No relationship between chronotype and timing of breeding when variation in daily activity patterns across the breeding season is taken into account
<p>There is increasing evidence that individuals are consistent in the timing of their daily activities, and that individual variation in temporal behaviour is related to the timing of reproduction. However, it remains unclear whether observed patterns relate to the timing of the onset of activity or whether an early onset of activity extends the time that is available for foraging. This may then again facilitate reproduction. Furthermore, the timing of activity onset and offset may vary across the breeding season, which may complicate studying the above mentioned relationships. Here, we examined in a wild population of great tits (Parus major) whether an early clutch initiation date may be related to an early onset of activity and/or to longer active daylengths. We also investigated how these parameters are affected by the date of measurement. In order to test these hypotheses we measured emergence and entry time from/into the nest box as proxies for activity onset and offset in females during the egg laying phase. We then determined active daylength. Both emergence time and active daylength were related to clutch initiation date. However, a more detailed analysis showed that the timing of activities with respect to sunrise and sunset varied throughout the breeding season both within and among individuals. The observed positive relationships are hence potentially statistical artifacts. After methodologically correcting for this date effect, by using data from the pre-egg laying phase, where all individuals were measured on the same days, neither of the relationships remained significant. Taking methodological pitfalls and temporal variation into account may hence be crucial for understanding the significance of chronotypes.</p>
Samples of solar flares classes, active regions and time of occurrence
<p>This dataset contains samples of solar flares measurements of classes X, M, C and B.</p> <p>For clarification, the flares are classified as follows:</p> <ul> <li>Class X: flares <span class="math-tex">\(>10^{-4} watts/m^{2}\)</span></li> <li>Class M: <span class="math-tex">\(10^{-5} watts/m^{2} <\)</span>flares <span class="math-tex">\(<10^{-4} watts/m^{2}\)</span></li> <li>Class C: <span class="math-tex">\(10^{-6} watts/m^{2}<\)</span>flares<span class="math-tex">\(<10^{-5} watts/m^{2}\)</span></li> <li>Class B: <span class="math-tex">\(10^{-7} watts/m^{2}<\)</span>flares<span class="math-tex">\(<10^{-6} watts/m^{2}\)</span></li> </ul> <p>This dataset was assembled with data from https://www.spaceweatherlive.com/en/solar-activity/top-50-solar-flares</p> <p>The date (yyyy-mm-dd hh:mm:ss) the authors assembled the data is 2017-11-14 13:48:37</p> <p>The original data source is the National Oceanic & Atmospheric Administration (NOAA), U.S. Departement of Commerce.</p> <p>Data description:</p> <ul> <li><strong>Class</strong>: Class of the flare: X, M, C or B</li> <li><strong>Date</strong>: Date of occurence in yyyy-mm-dd format.</li> <li><strong>AR</strong>: Active Region ID attributed by NOAA.</li> <li><strong>Begin</strong>: time the flare begins in hh:mm:ss format.</li> <li><strong>Max</strong>: time the flare reaches its max value in hh:mm:ss format.</li> <li><strong>End</strong>: time the flare vanishes in hh:mm:ss format.</li> </ul> <p>The dataset has 2,256 tuples divided as follows:</p> <ul> <li>171 tuples with X class flares data (7.58%).</li> <li>572 tuples with M class flares data (25.35%).</li> <li>767 tuples with C class flares data (34%).</li> <li>746 tuples with B class flares data (33.07%).</li> </ul> <p>The data collected refer to the period between August 25, 1996 and May 29, 2017.</p>
Time series of detonation velocity for Fickett's model for various values of activation energy
<p>This dataset contains several time series of detonation velocity for Fickett's model.</p> <p>Parameters are: q=4, resolution per unit lenth is 1280.</p> <p>Activation energies (theta) are 0.95, 1, 1.004, 1.055, 1.065, 1.089.</p>
Transcranial direct current stimulation (tDCS) over the left prefrontal cortex does not affect time-trial self-paced cycling performance: Evidence from oscillatory brain activity and power output.
<p>This research will shed new light into the bidirectional relationship between acute aerobic exercise, brain and cognition. This is based on the particular role of executive (cognitive) function during exercise. The rationale of our study is that stimulation of the prefrontal cortex that has been repeatedly associated with executive function, would facilitate or impair self-paced aerobic exercise. This would also affect cognitive performance immediately after exercise. We will use a modified flanker’s task as a form of assessing executive function (see below for further details). The flanker’s task implies two different stimuli, one congruent and one incongruent. Relative to “congruent” stimuli, these “incongruent” stimuli are usually accompanied by increased response times (RTs) and decreased accuracy. To stimulate the prefrontal cortex, we use transcranial direct-current stimulation (tDCS). tDCS is able to induce cortical changes by hyperpolarizing (anodal) or depolarizing (cathodal) neuron’s resting membrane potential.<br> Therefore, the hypotheses of this research are:<br> 1) Anodal stimulation (relative to sham and cathodal stimulation) will improve self-paced aerobic exercise and, consequently it will also improve subsequent cognitive performance.<br> 2) Cathodal stimulation (relative to sham and anodal stimulation) will impair self-paced aerobic exercise and subsequent cognitive performance.<br> </p>
Figure 2 in Time-activity budgets of wintering Ferruginous Duck, Aythya nyroca, at Gajoldoba wetland, Jalpaiguri, India
Figure 2. Mean percentage of nocturnal time spent in various activities by the Ferruginous Duck in different time blocks, with standard error bars.
Figure 1 in Time-activity budgets of wintering Ferruginous Duck, Aythya nyroca, at Gajoldoba wetland, Jalpaiguri, India
Figure 1. Percentage of time allocated to different activities by Ferruginous Duck at different parts of winter season.
Figure 2 in Diurnal time-activity budget and foraging techniques of red-crested pochards (Netta rufina) wintering at the wetlands of West Bengal, India
Figure 2. Canonical correspondence analysis (CCA with 95% ellipses) ordination diagram showing the scatter plot for the month-wise and site-wise density of the wintering RCPs together with the selected environmental variables. Vector lines represent the relationship of significant environmental variables to the ordination axes; their length is proportional to their relative significance.
Figure 1 in Diurnal time-activity budget and foraging techniques of red-crested pochards (Netta rufina) wintering at the wetlands of West Bengal, India
Figure 1. Study site (Adra saheb bandh,Purulia saheb bandh, Kadamdeuli Dam, and Gangdoa Dam) locations inWest Bengal, India (India and West Bengal maps not in scale).
Figure 4 in Diurnal time-activity budget and foraging techniques of red-crested pochards (Netta rufina) wintering at the wetlands of West Bengal, India
Figure 4. Comparison of the aggregated proportional time budget (values in percentages of the time spent) of the diurnal foraging activities of male and female RCPs in January and December; deep water conditions prevailed in both December and January at Sites 1, 2, and 4, while shallow water conditions prevailed at Site 3 in January.
Figure 3 in Short-time salinity fluctuations are strong activators of oxidative stress in Mediterranean mussel (Mytilus galloprovincialis)
Figure 3. Short-time salinity fluctuations promote ROS formation in hemocytes. Mussels were acclimated to high (24 - 40 ‰, HS) and low (6-14 ‰, LS) environmental salinity. ROS levels were analyzed based on flow cytometric measurement of fluorescence levels of hemocytes stained with DCF-DA. Bars indicate mean±SE. Results were considered significant when p<0.05 by Mann-Whitney test (n=10).
Figure 5 in Short-time salinity fluctuations are strong activators of oxidative stress in Mediterranean mussel (Mytilus galloprovincialis)
Figure 5. Activity of the antioxidant enzymes in gills of mussels following exposure to short-time salinity fluctuations. Activity of SOD (a), Activity of CAT (b). Mussels were acclimated to high (24-40‰, HS) and low (6-14 ‰, LS) environmental salinity. The control group was held at 18‰. Each bar represents the mean value from 10 samples with the standard error. Results were considered significant when p<0.05 by Mann-Whitney test (n=10). (p <0.05).
Figure 2 in Short-time salinity fluctuations are strong activators of oxidative stress in Mediterranean mussel (Mytilus galloprovincialis)
Figure 2. Mortality of mussels exposed to short-time salinity fluctuations. The diagram shows the percentage of dead mussels acclimated to high (24-40 ‰, HS) and low (6-14‰, LS) environmental salinity. The control group was held at 18 ‰. Bars indicate mean±SE (n=10).
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.