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.
35
datasets available to search
ShareScore release 0.9.0
Dataset results
35 results for “active matter”
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
Redox-Active Organic Matter Measurements at the APEX fen in the Bonanza Creek Experimental Forest near Fairbanks, Alaska (2021-2022)
This dataset contains measurements collected for the publication "Direct and Indirect Effects of Water Table on Redox-Active Organic Matter Reduction in an Alaskan Rich Fen". This includes redox-active organic matter reduction measurements for three different experiments that took place at the APEX Fen; (1) common substrate in 2021, (2) common substrate in 2022, (3) peat collected from each water-table manipulation plot. Water-table levels are reported for experiments 1 and 2. Carbon greenhouse gas measurements and fluorescence and absorbance data are reported for experiment 2. Carbon greenhouse gas measurements are reported for experiment 3.
Biased ensembles of pulsating active matter: figure data
<p>The following is a zip file containing figure data for all figures published in the manuscript tittled 'Biased ensembles of pulsating active matter', available in archive: https://arxiv.org/abs/2403.16961</p> <p>v2 includes the updated data for figure 2. Otherwise all remain as before.</p>
Station data of passive and active fluorescence measurements of chlorophyll-a (Chl), phycoerythrin (PE), chromophoric dissolved organic matter (CDOM), and variable fluorescence (Fv/Fm) from CCE-CalCOFI Augmented cruises in the California Current System, 2012 - October 2020.
Active and passive fluorescence measurements are made using the ALFA5 system (Chekalyuk and Hafez, 2013) on water from the ship’s underway system (these are not samples from bottles!) during CalCOFI cruises while on station. The instrument uses excitation at 405 and 510 nm to measures passively the fluorescence of chlorophyll-a (Chl), three different phycoerythrins (PE1, PE2 and PE3) and chromophoric dissolved organic matter (CDOM). Variable fluorescence (Fv/Fm) is measured actively using pump-during-probe (PDP) measurements of Chl a fluorescence induction. Fluorescence measurements are normalized to the water’s Raman fluorescence. ALF data are merged with CTD and bottle data that were collected by the CalCOFI group.
Continuous passive and active fluorescence measurements of chlorophyll-a (Chl), phycoerythrin (PE), chromophoric dissolved organic matter (CDOM), and variable fluorescence (Fv/Fm) from CCE-CalCOFI Augmented cruises in the California Current System, 2012 - 2020
Active and passive fluorescence measurements are made using the ALFA5 system (Chekalyuk and Hafez, 2013) on water from the ship’s underway system during CalCOFI cruises. The instrument uses excitation at 405 and 510 nm to measures passively the fluorescence of chlorophyll-a (Chl), three different phycoerythrins (PE1, PE2 and PE3) and chromophoric dissolved organic matter (CDOM). Variable fluorescence (Fv/Fm) is measured actively using pump-during-probe (PDP) measurements of Chl a fluorescence induction. Fluorescence measurements are normalized to the water’s Raman fluorescence.
Continuous passive and active fluorescence measurements of chlorophyll-a (Chl), phycoerythrin (PE), chromophoric dissolved organic matter (CDOM), and variable fluorescence (Fv/Fm) from CCE process cruises in the California Current System, 2012 - 2019 (ongoing).
Active and passive fluorescence measurements are made using the ALFA5 system (Chekalyuk and Hafez, 2013) on water from the ship’s underway system during CCE process cruises. The instrument uses excitation at 405 and 510 nm to measures passively the fluorescence of chlorophyll-a (Chl), three different phycoerythrins (PE1, PE2 and PE3) and chromophoric dissolved organic matter (CDOM). Variable fluorescence (Fv/Fm) is measured actively using pump-during-probe (PDP) measurements of Chl a fluorescence induction. Fluorescence measurements are normalized to the water’s Raman fluorescence.
Minute-Level Human Activity and Particulate Matter Exposure Dataset from Ljubljana, Slovenia
<p>This dataset encompasses detailed measurements of human activities and particulate matter exposure at a minute-level resolution, collected in Ljubljana, Slovenia from September 24 to October 31, 2020. Data was gathered from 18 participants using a combination of devices: a personal particulate matter monitor (PPM), a Garmin Vivosmart 3 smart activity tracker (SAT), and the Clockify app. The PPM provided real-time measurements of particulate matter concentrations (PM1, PM2.5, and PM10), as well as environmental parameters like temperature, humidity, and altitude. The SAT tracker offered insights into personal health data, including average heart rate and metabolic equivalent of task (MET). Clockify app was utilized for detailed logging of various activities categorized with minute accuracy.</p> <p>Key variables included in the dataset are:</p> <ol> <li>Participant ID</li> <li>Date of data collection</li> <li>Time of data recording (minute accuracy)</li> <li>Specific task or activity performed</li> <li>Particulate matter - PM1 - concentrations</li> <li>Particulate matter - PM2.5 - concentrations</li> <li>Particulate matter - PM10 - concentrations</li> <li>Environmental temperature</li> <li>Relative humidity</li> <li>Altitude</li> <li>Speed</li> <li>Average heart rate</li> <li>Metabolic equivalent of task</li> </ol> <p>This dataset offers a resource for exploring the interplay between individual behaviors and air pollution exposure, with applications in environmental health research and the development of machine learning models for activity recognition.</p>
Temporal evolution of plutonium concentrations and isotopic ratios, cesium activity concentrations, granulometric parameters and organic matter properties in the Ukedo–Takase Rivers draining the Difficult-To-Return Zone in Fukushima, Japan (2013–2020)
<p>The current dataset was compiled to investigate the temporal evolution of plutonium concentrations, isotopic ratios and radiocesium activity concentrations in flood sediment deposits collected in the Ukedo and Takase Rivers, draining a part of the Difficult-to-Return Zone, in Fukushima Prefecture, from 2013 to 2020. These radionuclides were released in large quantities during the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident that occurred in March 2011 in Northeastern Japan (Steinhauser et al., 2014). Models showed that ~ 80 % of radionuclide releases occurred over the ocean (Mathieu et al., 2018; MEXT, 2011). The radioactive plume is drained by several coastal rivers to the Pacific Ocean, and sediment-bound radionuclide transfers in these rivers are mainly controlled by the occurrence of typhoons and tropical storms (Evrard et al., 2021). The objective of the research relying on the current database is to investigate the temporal changes in Pu signatures that occurred between 2013 and 2020 in flood sediment deposits collected in the Ukedo and the Takase Rivers, and to identify potential factors controlling these changes by the means of statistical approach.</p> <p>The current dataset comprises an Excel file including the variables description, and the data itself.</p>
Dead or alive; or does it really matter? Level of congruency between trophic modes in total and active fungal communities in High Arctic soil.
<p>These are the rDNA and rRNA fragments of Internal transcribed spacer 2 (ITS2) extracted from snow fence experiment in Adventdalen, Svalbard. </p> <p>This is a dataset described in Wutkowska et al., (2019), 'Dead or alive; or does it really matter? Level of congruency between trophic modes in total and active fungal communities in High Arctic soil.', published in Frontiers in Microbiology</p> <p>All other corresponding data (for splitting libraries, environmental parameters etc.) can be found here: https://github.com/magdawutkowska/Dead_or_alive</p> <p> </p>
Inorganic nitrogen, microbial ecoenzymatic activities, and organic matter in soils collected from the Monsoon Rainfall Manipulation Experiment (MRME), Sevilleta National Wildlife Refuge, New Mexico during the 2014 growing season
Drylands are characterized by a pulse dynamics framework in which episodic rain events trigger brief pulses of biological activity and resource availability that regulate primary production in these ecosystems. Relatively small rain events can stimulate microbial processes like decomposition that release inorganic nitrogen needed by plant processes, which typically also depend on soil moisture received from larger rain events. Little is known how changes in rainfall patterns may affect plant available nitrogen in dryland soils, particularly across temporal scales. Therefore, we conducted a study to examine the daily and seasonal responses of plant available nitrogen to rain events that differed in size and frequency throughout a summer monsoon in a northern Chihuahuan Desert grassland located in the Sevilleta National Wildlife Refuge, New Mexico, USA. This data package, which accompanies an associated manuscript (Brown et al. 2022), contains measurements of inorganic nitrogen, nitrogen-acquiring microbial ecoenzymatic activities, and organic matter in soils collected from the Monsoon Rainfall Manipulation Experiment (MRME) during the 2014 summer growing season.
Cross-kingdom interactions and functional patterns of active microbiota matter in governing deadwood decay
<p>Microbial community members are the primary microbial colonizers and active decomposers of deadwood. This study placed sterilized standardized beech and spruce sapwood specimens on the forest ground of 8 beech- and 8 spruce-dominated forest sites. After 370 days, specimens were assessed for mass loss, nitrogen (N) content and <sup><span>15</span></sup><span>N</span> isotopic signature, <span>hydrolytic and lignin-modifying enzyme activities. Each </span>specimen <span>was </span>incubated with bromodeoxyuridine (BrdU) to label <span>metabolically active fungal and bacterial community members, which were assessed using an amplicon sequencing. Fungal saprotrophs colonized the deadwood accompanied by a distinct bacterial community that was capable of cellulose degradation, aromatic depolymerisation, and N<sub>2</sub> fixation. The latter were governed by the genus <em>Sphingomonas</em>, which was co-present with the majority of saprotrophic fungi regardless of whether beech or spruce specimens were decayed. Moreover, the richness of the diazotrophic </span><span><em>Allorhizobium</em>-<em>Neorhizobium</em>-<em>Pararhizobium</em>-<em>Rhizobium</em></span><span> group were significantly correlated with mass loss, N content and <sup>15</sup>N isotopic signature. In contrast, presence of obligate predator <em>Bdellovibrio</em> spp. shifted bacterial community composition and were linked to decreased beech deadwood decay rates. Our study provides the first account of the composition and function of metabolically active wood-colonising bacterial and fungal communities, highlighting cross-kingdom interactions during the early and intermediate stages of wood decay.</span></p>
From a microscopic inertial active matter model to the Schrödinger equation
<p>Supplementary data for the following manuscript: Michael te Vrugt, Tobias Frohoff-Hülsmann, Eyal Heifetz, Uwe Thiele, Raphael Wittkowski, "From a microscopic inertial active matter model to the Schrödinger equation".</p>
Shaping active matter from crystalline solids to active turbulence
<p>Qianghong Yang and Maoqiang Jiang contributed equally to this work. </p> <p>Corresponding author: Lailai Zhu (lailai_zhu@nus.edu.sg)</p>
Data for: Human activity coupled with climate change strengthens the role of lakes as an active pipe of dissolved organic matter
<p>This dataset contains data from an investigation to resolve the relative importance of multiple environmental drivers on the quantity and quality of chromophoric DOM in lakes at the continental scales. The study is described in the paper: "Du Y., Chen F., Zhang Y., He H., Wen S., Huang X., Song C., Li. K., Wang J., Kellings D., and Lu Y. 2023. Human activity coupled with climate change strengthens the role of lakes as an active pipe of dissolved organic matter, Earth's Future, in press". </p> <p>The primary objectives of the study were to (i) quantity the magnitude of environmental drivers modulating lacustrine DOM quantity and quality at a continental scale, including climate, land cover, societal development, and water retention time, and (ii) unravel individual and interactive effects of the environmental drivers.</p> <p>Firstly, we constructed a structural equation model framework that incorporated both direct and indirect pathways.</p> <p>Secondly, we collected a continental-scale dataset of lake DOM quantity and quality, along with the corresponding environmental driver variables from a group of carefully selected lakes (n=182).</p> <p>Lastly, we established structure equation models to analyze DOM quantity and quality variations as a function of the four environmental drivers.</p> <p>The main results include: (1) land cover and societal development both exhibit positive direct effects on lake CDOM quantity, highlighting the significant role of well-vegetated soils and anthropogenic activities as sources of lake DOM on a continental scale. (2) Climate has two strong but opposite effects –a warming and wet climate facilitates soil OM production and export but also enhances CDOM in-lake transformation. (3) Three proxies are proposed as indicators of the magnitude of biogeochemical drivers influencing lake DOM across ecoclimatic zones, including fluorescent DOM/DOC indicating economic activity, percentages of a degraded fluorescent DOM component indicating solar irradiation, and percent tyrosine-like DOM reflecting DOM processing time within the watershed and lake.</p>
Data for: Human activity coupled with climate change strengthens the role of lakes as an active pipe of dissolved organic matter
Open the record for dataset details and reuse information.
Cross-kingdom interactions and functional patterns of active microbiota matter in governing deadwood decay
Open the record for dataset details and reuse information.
Experimental data: "Dynamical clustering and wetting phenomena in inertial active matter".
<p>In each zip folder, we report experimental data for shaker frequency f=90 Hz, 120 Hz, 150 Hz at different packing fraction, corresponding to different number of particles N=30, 60, 90, 120, 150, 180, 210, 240</p>
Prospective RELOC-AGE: How Do Housing Choices and Relocation Matter for Active Ageing?
ClinicalTrials.gov study NCT04765696. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from: Microglial activation in early Alzheimer trajectory is associated with higher grey matter volume
Objective: To investigate the influence of microglial activation in the early stages of Alzheimer's disease trajectory, we assessed the relationship between microglial activation and grey matter volume and hippocampal volume in MCI patients. Methods: In this study, fifty-five participants (37 early stages MCI and 18 controls) underwent [11C]PBR28 PET, a marker of microglial activation; volumetric MRI to evaluate grey matter and hippocampal volumes as well as clinical and neuropsychometric evaluation. [11C]PBR28 VT (volume of distribution) was calculated using arterial input function and Logan Graphical analysis. Grey matter volume and hippocampal volumes were calculated from MRI for each subject. Statistical parametric mapping software was used to perform voxel-wise correlations and biological parametric mapping analysis. Amyloid status was assessed using [18F]Flutemetamol PET. Results: Higher [11C]PBR28 VT in different cortical areas correlated with higher grey matter volume in both amyloid positive and negative MCI. Additionally, higher hippocampal volume correlated with higher cortical [11C]PBR28 Logan VT. Conclusions: In this in vivo study, we have demonstrated that microglial activation quantified using [11C]PBR28 PET was associated with higher grey matter volume and higher hippocampal volume in MCI patients. This may suggest that microglial activation may not always be associated with neuronal damage, and indeed it may have beneficial effect in early stages of Alzheimer's trajectory. While further longitudinal studies are necessary, these findings have significant implications on therapeutic strategies targeting microglial activation.
Relative xylanase activities [%] obtained from fermentation by using C. phragmiteti in LB medium containing 1 w/w% of dry matter waste paper as a function of fermentation time. Average values of relative xylanase activity are presented with error bars representing standard deviations of tripli-cates.
Open the record for dataset details and reuse information.
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.