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.
30,947
datasets available to search
ShareScore release 0.9.0
Dataset results
30,947 results for “Profile”
Data from: City life alters the gut microbiome and stable isotope profiling of the eastern water dragon (Intellagama lesueurii)
Open the record for dataset details and reuse information.
Data from: Variation of carbon contents in eelgrass (Zostera marina) sediments implied from depth profiles
Open the record for dataset details and reuse information.
De novo profiling of long non-coding RNAs involved in MC-LR–induced liver injury in whitefish: discovery and perspectives
Open the record for dataset details and reuse information.
Kin recognition in Drosophila: Rearing environment and relatedness can modulate gut microbiota and cuticular hydrocarbon odour profiles
Open the record for dataset details and reuse information.
Data from: Replicated evolutionary divergence in the cuticular hydrocarbon profile of male crickets associated with the loss of song in the Hawaiian archipelago
Open the record for dataset details and reuse information.
Chemical profiling of milkweed and monarch butterfly wing extracts via mass spectrometry
Open the record for dataset details and reuse information.
Supplement to: Hippocampal neurochemical profile and glucose transport kinetics in patients with type 1 diabetes
Open the record for dataset details and reuse information.
Integrated vertical profiles for 16 coastal NEXRAD weather surveillance radars from 2014 to 2023
Open the record for dataset details and reuse information.
Appendix: Association between hemostatic profile and migraine: a Mendelian randomization analysis
Open the record for dataset details and reuse information.
Timing of blood sample processing affects the transcriptomic and epigenomic profiles in CD4+ T-cells of atopic subjects
Open the record for dataset details and reuse information.
Turbulent velocity profiles for dissipation rate of 1e-6 W/kg
Open the record for dataset details and reuse information.
Data from: Neglected very long-chain hydrocarbons and the incorporation of body surface area metrics reveal novel perspectives for cuticular profile analysis in insects
Open the record for dataset details and reuse information.
Grain nutritional profiles of a cowpea MAGIC population
Open the record for dataset details and reuse information.
Ribosome profiling reveals a functional role for autophagy in protein translational control
Open the record for dataset details and reuse information.
Conductivity Temperature Depth (CTD) sensor profile data binned by depth from stations within the CCE region from CCE LTER P0904 student cruise, April 2009.
Data from deployed Seabird 911 CTD mounted on a 24-bottle rosette during P0904 student cruise in the CCE region. The CTD-rosette is lowered into the ocean (to depths up to 1000m) at selected hydrographic stations and multiple times across fronts, using the ship's conductive-wire winch. Data from many sensors are transmitted up the conductive wire and displayed real-time on a data aquistion computer. Discrete seawater samples are collected in 10L bottles at specific depths determined by the chlorophyll maximum and mixed layer depth. These samples are analyzed at sea and used to assess the CTD sensor data quality, plus measure additional properties. Processed CTD profile data are binned by depth and include: depth, temperature, salinity, density (sigma theta), oxygen, O2 saturation, PAR (radiation, surface radiation, and % irradiance), fluorescence, transmission, and nitrate. These data are then compared to the seawater sample data, and corrected if necessary.
Conductivity Temperature Depth (CTD) sensor profile data binned by depth from stations within the CCE region from CCE LTER process cruises, 2006 - 2017 (ongoing).
Since 2006 (ongoing), the CCE LTER program has deployed a Seabird 911 CTD mounted on a 24-bottle rosette during Process cruises in the CCE region. The CTD-rosette is lowered into the ocean (to depths up to 1000m) at selected hydrographic stations and multiple times across fronts, using the ship's conductive-wire winch. Data from many sensors are transmitted up the conductive wire and displayed real-time on a data aquistion computer. Discrete seawater samples are collected in 10L bottles at specific depths determined by the chlorophyll maximum and mixed layer depth. These samples are analyzed at sea and used to assess the CTD sensor data quality, plus measure additional properties. Processed CTD profile data are binned by depth and include: depth, temperature, salinity, density (sigma theta), oxygen, O2 saturation, PAR (radiation, surface radiation, and % irradiance), fluorescence, transmission, and nitrate. These data are then compared to the seawater sample data, and corrected if necessary.
Trace gas movement in the soil profile at the Kellogg Biological Station, Hickory Corners, MI (2010 to 2012)
Dataset Abstract The distribution of trace gasses in the soil profile was investigated using tracer and monitoring techniques. This data is part of Iurii Shcherbak thesis work. original data source http://lter.kbs.msu.edu/datasets/128
Acoustic Doppler Profiler (ADP) Time Series Measurements at Hog Island Bay at the Virginia Coast Reserve 2002-2004
Open the record for dataset details and reuse information.
CarbonTracker-Lagrange North America TCCON Vertical Profile of Footprints V1 (CMS_CTL_NA_TCCON_FOOTPRINTS)
This data set provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) particle trajectory data products for particle receptors co-located with atmospheric column observations from the TCCON ground network. Meteorological fields from the WRF model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio per surface flux, quantifies the influence of upwind surface fluxes on greenhouse gas concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. For each column observation location, the receptors are located at 23 discrete vertical levels throughout the atmospheric column. The CMS program is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System uses NASA observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS data products are designed to inform near-term policy development and planning.
CarbonTracker-Lagrange North America OCO-2 Vertical Profile of Footprints V1 (CMS_CTL_NA_OCO2_FOOTPRINTS)
This data set provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) particle trajectory data products for particle receptors co-located with atmospheric column observations from the OCO-2 satellite. Meteorological fields from the WRF model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio per surface flux, quantifies the influence of upwind surface fluxes on greenhouse gas concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. For each column observation location, the receptors are located at 14 discrete vertical levels throughout the atmospheric column. The CMS program is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System uses NASA observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS data products are designed to inform near-term policy development and planning.
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.