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
datasets available to search
ShareScore release 0.7.1
Dataset results
18 results for “produced water”
Non-target screening of organic compounds in offshore produced water by GC×GC-MS (associated data)
<p>Associated data for the manuscript titled "<em>Non-target screening of organic compounds in offshore produced water by GC×GC-MS</em>"</p> <p>Preprint doi://10.26434/chemrxiv.13317938</p> <p> </p>
Water Interface Sediment Experiment (WISE) data set produced at the CIEM flume, Hydralab IV
<p>The present work was developed in the framework of the HYDRALAB IV as part of the WISE Joint Research Activity. The experiments were carried out in the large scale wave flume CIEM at Universitat Politècnica de Catalunya (UPC), Barcelona.</p> <p>The data set here presented aims to observe the simultaneous and collocated profiles, of water and sediment flow and the associated bed-dynamics and particle features. The experiments considered have a flume bed configuration which starts with a concrete flat part while the study area is a 1/15 constant sandy slope. The granular beach consisted of commercial well-sorted sand with a medium sediment size d50=0.25 mm. The water depth at the toe of the wave maker is 2.5 m for all tested conditions.</p> <p>Different waves conditions were tested Erosive (Hs=0.47 m and Tp=3.7s) and Accretive (Hs=0.32 m and Tp=4.7s; Hs=0.27 m and Tp=5.3s) while collecting data of velocity, suspended sediment concentration and profile evolution.</p> <p>Due to its size, the data set can not be placed on this repository and will be provided on demand. Please contact with the authors or with the data manager of the CIEM installation.</p> <p>More information can be found on the published papers:</p> <p>Cáceres, I. and Sánchez-Arcilla, A., 2015. Erosive and Accretive mobile bed experiments in large scale tests, Coastal Sediments 2015, San Diego, USA.</p> <p>Eichentopf, S., Cáceres, I. and Alsina, J.M., 2018. Breaker bar morphodynamics under erosive and accretive wave conditions in large-scale experiments. Coastal Engineering, Vol. 138, 36-48.</p> <p>Sánchez-Arcilla, A. and Cáceres, I., 2018. An analysis of nearshore profile and bar development under large scale erosive and accretive waves. Journal of Hydraulic Research, Vol. 56(2), 231-244.</p> <p> </p>
geochemical data from UK and US produced water batch experiments
<p>Geochemical data set from batch experiments of UK and US shale gas produced water</p>
Figure. The phylogenetic tree showing the relationship among Brevibacillus parabrevis strains SA2.2 and TJ2.3, Bacillus licheniformis MG4.2, and their phylogenetically closest type strains. The GenBank accession numbers of the type strains and studied strains are shown following species names. Distance matrix was calculated by Kimura's 2-parameter model. The scale bar indicates 0.02 substitutions per nucleotide position. Alicyclobacillus pohliae AJ564766 served as an out-group. in Distribution of extracellular enzyme-producing bacteria in the digestive tracts of 4 brackish water fish species
Figure. The phylogenetic tree showing the relationship among Brevibacillus parabrevis strains SA2.2 and TJ2.3, Bacillus licheniformis MG4.2, and their phylogenetically closest type strains. The GenBank accession numbers of the type strains and studied strains are shown following species names. Distance matrix was calculated by Kimura's 2-parameter model. The scale bar indicates 0.02 substitutions per nucleotide position. Alicyclobacillus pohliae AJ564766 served as an out-group.
Microfluidic droplet application for bacterial surveillance in fresh-cut produce wash waters
<p>Foodborne contamination and associated illness in the United States is responsible for an estimated 48 million cases per year. Increased food demand, global commerce of perishable foods, and the growing threat of antibiotic resistance are driving factors elevating concern for food safety. Foodborne illness is often associated with fresh-cut, ready-to-eat produce commodities due to the perishable nature of the product and relatively minimal processing from farm to the consumer. The research presented here optimizes and evaluates the utility of microfluidic droplets, also termed ultraminiaturized bioreactors, for rapid detection of viable Salmonella enterica ser. Typhimurium in a shredded lettuce wash water acquired from a major Mid-Atlantic produce processing facility (denoted as Producer) in the U.S. Using a fluorescentlylabeled anti- S. Typhimurium antibody and relative fluorescence intensities, paired with in-droplet incubation, S. Typhimurium was detected and identified with 100% specificity in less than 5 h. In initial optimization experiments using S. Typhimuriumspiked sterile water, the relative fluorescence intensity of S. Typhimurium was approximately two times that of the observed relative intensities of five non- S. Typhimurium negative controls at 4-h incubation in droplets containing Rappaport-Vasiliadis (RV) broth at 37 ° C: relative fluorescence intensity for S. Typhimurium = 2.36 (95% CI: 2.15-2.58), Enterobacter aerogens 1.12 (95% CI: 1.09-1.16), Escherichia coli 700609 = 1.13 (95% CI: 1.09-1.17), E. coli 13706 1.13 (95% CI: 1.07-1.19), E. coli 700891 1.05 (95% CI: 1.03-1.07) and Citrobacter freundii 1.04 (95% CI: 1.03-1.05). S. Typhimurium - and E. aerogens -spiked shredded lettuce wash waters acquired from the Producer were then incubated 4 h in-droplet at 37 ° C with RV broth. The observed relative fluorescence of S. Typhimurium was significantly higher than that of E. aerogens , 1.56 (95% CI: 1.42-1.71) and 1.10 (95% CI: 1.08-1.12), respectively. While further optimization focusing on compatible concentration methodologies for highly-dilute produce water samples is needed, this application of droplet microfluidics shows great promise in dramatically shortening the time necessary – from days to hours – to confirm viable bacterial contamination in ready-to-eat produce wash waters used throughout the domestic and international food industry.</p>
Data and code to accompany the manuscript Phillipsite and Al-tobermorite mineral cements produced through low-temperature water-rock reactions in Roman marine concrete, American Mineralogist
<p>EPMA data and code used to produce figures in the publication.</p>
Persisting effects in Daphnia magna following an acute exposure to flowback and produced waters from the Montney Formation
<p>Hydraulic fracturing extracts oil and gas through the injection of water and proppants into subterranean formations. These injected fluids mix with the host rock formation and return to the surface as a complex wastewater containing salts, metals, and organic compounds, termed flowback and produced water (FPW). Previous research indicates that FPW is toxic to <em>Daphnia magna </em>(<em>D. magna</em>), impairing reproduction, molting, and maturation time; however, recovery from FPW has not been extensively studied. Species unable to recover have drastic impacts on populations on the ecological scale; thus, this study sought to understand if recovery from an acute 48 h FPW exposure was possible in the freshwater invertebrate, <em>D. magna</em> by using a combination of physiological and molecular analyses. FPW (0.75%) reduced reproduction by 30% and survivorship to 32% compared to controls. System-level quantitative proteomic analyses demonstrate extensive perturbation of metabolism and protein transport in both 0.25 and 0.75% FPW treatments after a 48 h FPW exposure. Collectively, our data indicate that <em>D. magna</em> are unable to recover from acute 48 h exposures to ≥0.25% FPW, as evidence of toxicity persists for at least 19 days post-exposure. This study highlights the importance of considering persisting effects following FPW remediation when modeling potential spill scenarios.</p>
Spatial and temporal variation in toxicity and inorganic composition of hydraulic fracturing flowback and produced water
<p>Hydraulic fracturing for oil and gas extraction produces large volumes of wastewater, termed flowback and produced water (FPW), that are highly saline and contain a variety of organic and inorganic contaminants. In the present study, FPW samples from ten hydraulically fractured wells, across two geologic formations were collected at various timepoints. Samples were analyzed to determine spatial and temporal variation in their inorganic composition. Results indicate that FPW composition varied both between formations and within a single formation, with large compositional changes occurring over short distances. Temporally, all wells showed a time-dependent increase in inorganic elements, with total dissolved solids increasing by up to 200,000 mg/L over time, primarily due to elements associated with salinity (Cl, Na, Ca, Mg, K). Toxicological analysis of a subset of the FPW samples showed median lethal concentrations (LC<sub>50</sub>) of FPW to the aquatic invertebrate <em>Daphnia magna</em> were highly variable, with the LC<sub>50</sub> values ranging from 1.16% to 13.7% FPW. Acute toxicity of FPW significantly correlated with salinity, indicating salinity is a primary driver of FPW toxicity, however organic components also contributed to toxicity. This study provides insight into spatiotemporal variability of FPW composition and illustrates the difficulty in predicting aquatic risk associated with FPW.</p>
Persisting effects in Daphnia magna following an acute exposure to flowback and produced waters from the Montney Formation
Open the record for dataset details and reuse information.
Microfluidic droplet application for bacterial surveillance in fresh-cut produce wash waters
Open the record for dataset details and reuse information.
Spatial and temporal variation in toxicity and inorganic composition of hydraulic fracturing flowback and produced water
Open the record for dataset details and reuse information.
Experimental and simulation data from Stransky et al. "Ionization by XFEL radiation produces distinct structure in liquid water"
<p>This deposition contains two separate gzipped tarballs:</p> <ol> <li><strong>preprocessed_diffraction_data.tar.gz</strong><br>pre-processed diffraction data, specifically I(q) traces for each X-ray pulse along with associated metadata</li> <li><strong>XMDYN_simulations.tar.gz</strong><br>simulation trajectories produced by the XMDYN code that describe water ionization following an intense X-ray pulse</li> </ol> <p>In more detail, the <strong>preprocessed_diffraction_data.tar.gz</strong> contains 36 HDF5 files, each corresponding to a single LCLS run. Each HDF5 contains the following data arrays:</p> <pre><code>ebeam Group event_time Dataset {8674/Inf} evr Group fiducials Dataset {8674/Inf} gas_detector Group phase_cav Group probe_energy Dataset {8674/Inf} probe_mag Dataset {8674/Inf} pump_energy Dataset {8674/Inf} pump_mag Dataset {8674/Inf} radial_profile Dataset {8674/Inf, 500} radial_profile_qvalues Dataset {500/8192}</code></pre> <p>The X contains trajectories for 7 different simulations, each in a separate directory. These top level directories are named according to simulation parameters:</p> <div>sim<BOX_SIZE>A_<probe_delay[fs]/singl>_<fraction_of_nominal_fluence></div> <div> </div> <div>Box sizes are in [Å], probe delay is in [fs] or there is only single pulse, 1.00 is the nominal fluence.</div> <div> </div> <div>Each of these directories contain subdirectories recording snapshots every 5 fs.</div> <div>The subdirectory name is the snapshot time in attoseconds.</div> <div>The simulation starts at 0 fs, the pump pulse is centered at the time 30 fs.</div> <div>That means that if there is a probe pulse with delay of 110 fs, it is centered</div> <div>at 140 fs.</div> <div> </div> <div>The snapshot directories contain 6 text files:</div> <ul> <li><strong>econf.dat</strong> : list of all atomic configurations observed in the simulation snapshot, each line starts with the atomic Z, followed by the electron configuration</li> <li><strong>T.dat</strong> : the electronic configuration for each particle in the simulation, in the form of a list of indices. The n-th element of the list indicates the electronic configuration of the n-th particle in the simulation by specifying a line in econf.dat. For instance, if the 10th element is "0", it indicates the 10th simulated particle has the electronic configuration written on the first line of econf.dat</li> <li><strong>Z.dat</strong> : sequence of atomic numbers for all simulated atoms.</li> <li><strong>q.dat</strong> : charge of atoms in elementary charge units (redundant data).</li> <li><strong>r.dat</strong> : cartesian position in [m], each atom position on one line.</li> <li><strong>v.dat</strong> : velocity components in [m/s], each atom on one line.</li> </ul>
Groundwater Uranium Contamination from Produced Water Disposal to Unlined Ponds in the San Joaquin Valley: Geotracker Data
<p>This data was compiled from lab report PDFs on the California Geotracker website. All quarterly and annual PDF reports available for McKittrick 1-1, McKittrick 1 & 1-3, and Race Track Hill were downloaded. Groundwater chemistry data was transcribed into an excel spreadsheet directly from the lab reports within the quarterly and annual reports. The citations and links for each site are listed below. </p> <p>State Water Resources Control Board, 2022a. GeoTracker - Belgian Anticline, McKittrick 1-1 Facility (WDR100037492) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=WDR100037492 (accessed 3.1.22).</p> <p>State Water Resources Control Board, 2022b. GeoTracker - Belgian Anticline, McKittrick 1 & 1-3 Facility (WDR100037491) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=WDR100037491 (accessed 3.1.22).</p> <p>State Water Resources Control Board, 2022c. GeoTracker - Belgian Anticline, McKittrick 1 & 1-3 Facility (L10007494132) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=L10007494132 (accessed 3.1.22).</p> <p>State Water Resources Control Board, 2022d. GeoTracker - Belgian Anticline, McKittrick 1-1 Facility (L10004955136) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=L10004955136 (accessed 3.1.22).</p> <p>State Water Resources Control Board, 2022e. GeoTracker - Edison Oil Field, Race Track Hill Facility (T10000005199) [WWW Document]. Geotracker. URL https://geotracker.waterboards.ca.gov/profile_report?global_id=T10000005199 (accessed 6.6.22).</p>
Data from: Altered physical and social conditions produce rapidly reversible mating systems in water striders
Mating systems can vary within-species but the environmental drivers and behavioral mechanisms underlying this variation are seldom investigated experimentally. We experimentally assessed how individual behavioral plasticity in response to changes in pool and group size resulted in fundamental shifts in mating systems in water striders. We observed the same animals in larger and smaller pools, mimicking variation in pool size in natural streams, and observed a rapid, reversible change in the entire mating system. In large pools, striders exhibited scramble promiscuity with intense sexual conflict. Most males were active, harassing and driving females into hiding. Matings were frequent and typically lasted for more than 100 min. In contrast, when placed in small pools, the same animals often exhibited harem polygyny where the largest male drove other males into hiding, but allowed females to be relatively active. Matings were less frequent and of much shorter duration. Harem polygyny took several days to emerge after animals were moved to small pools, while these same animals returned to scramble promiscuity within hours after being moved to larger pools. Such variability in mating systems likely has important implications for the evolution of individual mating tactics.
Data from: The return to water in ancestral Xenopus was accompanied by a novel mechanism for producing and shaping vocal signals
Open the record for dataset details and reuse information.
Data from: Altered physical and social conditions produce rapidly reversible mating systems in water striders
Open the record for dataset details and reuse information.
Data Set of paper_photoelectrocatalytic disinfection of water using titania nanotube photoanodes with carbon cathodes and determination of the radicals produced
Open the record for dataset details and reuse information.
Data produced for "Water Scarcity Challenges across Urban Regions with Expanding Irrigation"
<p>This archive includes the data and codes to produced results for the paper- <strong>Transition from Rain-fed to Irrigation-fed Agriculture in Rural Areas to Exacerbate Urban Water Scarcity</strong>. It contains 3 archive files:</p> <p><strong>1. H08_inputs_org: </strong>All the input files required for the simulation of the global hydrological model, H08 (/H08/map/org). It has the following files (for both scenarios S1, and S2) -</p> <p>a) AQUASTAT- industrial and domestic water use</p> <p>b) C05- GDP information for the countries</p> <p>c) FAO2009_Slop- data on slope</p> <p>d) GMIA5_S1- global map for irrigated areas version 5 for scenario 1</p> <p>e) GMIA5_S2- global map for irrigated areas version 5 for scenario 2</p> <p>f) GRanD- Global Reservoir and Dam (GRanD) database</p> <p>g) GSWP2_Albedo- albedo data</p> <p>h) GSWP23_SoilType- soil type data</p> <p>i) IGRAC- groundwater use for domestic and industrial sector</p> <p>j) IIASA_SSP- socio economic pathways data</p> <p>k) K14- explicit aqueduct data</p> <p>l) M08- crop distribution data</p> <p>m) OneGeology- geology units offshore</p> <p>n) R08- cropland and pastureland data</p> <p>o) WFDEI- flow direction </p> <p>p) DS02- irrigation data</p> <p><strong>2. Codes:</strong> Jupyter notebook consisting of the python codes for post-processing, and a folder named <em>files_req </em>with the required files for the notebook. </p> <p><strong>3. Outputs: </strong>This includes 4 archives</p> <p>a) arcgis_outputs- post-processing model results' shapefiles and rasters; ArcMap documents of CAD difference; and other outputs</p> <p>b) CAD_S1_S2- Raster files of monthly CAD for scenarios S1 (named as S12) and S2; raster files of total water abstraction from renewable water sources; and raster files of total water demand. </p> <p>c) diff_cad_21- Raster files of difference in CAD (CAD_S2 - CAD_S1) for with and without considering environmental flow requirements.</p> <p>e) urban_results_excel- Excel files of CAD comparison in S1 and S2; excel file of monthly water demand and abstraction in S1 and S2. </p> <p> </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.