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33 results for “Potential Density”

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dryad28/100

Data from: Inter-specific variation in the potential for upland rush management advocated by agri-environment schemes to increase breeding wader densities

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publicDec 2021View details →
dryad28/100

Data from: Clonal diversity impacts coral cover in Acropora cervicornis thickets: potential relationships between density, growth and polymorphisms

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publicApr 2019View details →
dryad28/100

Density functional theory study of Mobius boroncarbon-nitride as potential CH4, H2S, NH3, COCl2 and CH3OH gas sensor

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publicOct 2022View details →
geo24/100

Cell type-specific network analysis in Diversity Outbred mice identifies genes potentially responsible for human bone mineral density GWAS associations

GEO Series GSE269583. Mus musculus. 32 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2025View details →
zenodo24/100

Figure 2 from: Albratty M, Thangavel N, Chandrasekaran B, Meraya AM, Alhazmi HA, Muthumanickam S, Boomi P, Bhagavan NB, Saleh SF (2024) Benchmarking docking, density functional theory and molecular dynamics studies to assess the aldose reductase inhibitory potential of Trigonella foenum-graecum compounds for managing diabetes-associated complications. Pharmacia 71: 1-10. https://doi.org/10.3897/pharmacia.71.e118949

Figure 2 Benchmarking docking binding energy scores distribution: (a) AutoDock, (b) AutoDock Vina.

opencc-by-4.0Apr 2024View details →
zenodo20/100

FIGURE 38. Male sterna, S5 setae density and S6 in Revision of the bee group Anthophora (Micranthophora) (Hymenoptera: Apidae), with notes on potential conservation concerns and a molecular phylogeny of the genus

FIGURE 38. Male sterna, S5 setae density and S6 rim form. Scale=0.5 mm. A) S5 with sparse setae; S6 medially emarginate, at least vaguely triangularly, evenly so (A. estebana, 72476). B) S5 setae density high, appearing tufted; S6 medially emarginate, at least vaguely triangularly, but at least slightly filled medially, sometimes tufted (A. maculifrons, 82068). C) S5 with sparse setae; S6 entire or nearly so, with transparent square of integument (A. petrophila, BBSL655748). D) S5 setae density high; S6 entire, medially knobbed (A. flavocincta, BBSL504065).

opennotspecifiedNov 2018View details →
dryad20/100

Data from: Varying weed densities alters the corn transcriptome, highlighting a core set of weed-induced genes and processes with potential for manipulating weed tolerance

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publicAug 2020View details →
nasa20/100

DE 2 16ms Retarding Potential Analyzer (RPA) Ion Densities

This data set contains total ion densities obtained at 16ms resolution from the DE 2 Retarding Potential Analyzer. Corrections for spacecraft potential were included in the density determinations. Data are available in ASCII from nssdcftp and in CDF format from CDAWeb (as well as CDAWeb plots and lists). The data span the 18-month DE 2 lifetime, except for a gap from 1981/317 to 1982/057.

restrictednotspecifiedApr 2025View details →
nasa20/100

CASSINI SS/S RPWS LP DENSITY FROM FLOATING POTENTIAL V1.0

The Cassini Radio and Plasma Wave Science (RPWS) Langmuir Probe proxy electron density data set contains electron densities derived using an empirical relation between the floating potential and electron densities from the Cassini Plasma Spectrometer during the entire Cassini mission. This data set also includes the spacecraft potential which can be derived from the floating potential. The submitted data set includes spacecraft potential, floating potential, and electron density, and is intended to become the most comprehensive and complete data set of electron densities and spacecraft potential in Saturn's low-density, outer magnetosphere derived from the Langmuir Probe floating potential measurement in the Cassini RPWS archive. Data are presented in tables with fixed-length records for ease in data handling.

restrictedus-pdApr 2025View details →
nasa12/100

DE 1 Retarding Ion Mass Spectrometer (RIMS) Low Channel, H+ and He++, and High Channel, He+, O+, and O++, Density, Temperature, and Electric Potential, 1 min Data

The Data were provided by Dennis Gallagher, MSFC. The Retarding Ion Mass Spectrometer, RIMS, consisted of a Retarding Potential Analyzer for Energy Analysis in Series with a Magnetic Ion-Mass Spectrometer for Mass Analysis. Multiple Sensor Heads permitted the Determination of the Thermal Plasma Flow Characteristics. This Instrument was designed to operate in two basic Commandable Modes: a High-Altitude mode in which the Density, Temperature, and Bulk Flow Characteristics of principally H+, He+, and O+ Ions were measured, and a Low-Altitude Mode that concentrated on the Composition in the 1-u to 32-u Range. This Investigation provided Information on: (1) The Densities of H+, He+, and O+ Ions in the Ionosphere, Plasmasphere, Plasma Trough, and Polar Cap including the Density Distribution along the Magnetic Vector in the Vicinity of the Satellite Apogee (2) The Temperature of H+, He+, and O+ Ions in the Ionosphere, Plasmasphere, Plasma Trough, and Polar Cap in the Energy Range from 0 eV to 45 eV (3) The Bulk Flow Velocities of H+, He+, and O+ in the Plasmapause, Plasma Trough and Polar Cap (4) The changing Character of the Cold Plasma Density, Temperature, and Bulk Flow in Regions of Interaction with Hot Plasma such as at the Boundary between the Plasmasphere and the Ring Current (5) The detailed Composition of Ionospheric Plasma in the Range from 1-u to 32-u He++ and O++ were also measured. The Instrument consisted of three Detector Heads. One looked out in the Radial Direction, and the other two looked out along the Plus and Minus Spin Axis Directions. Each Detector had a 55° half-cone Acceptance Angle. The Detector Heads had a gridded, weakly collimating Aperture where the Retarding Analysis was performed, followed by a Parallel Plate Ceramic Magnetic Mass Analyzer with two separate Exit Slits corresponding to Ion Masses in the Ratio 1:4. Ions exiting from these Slits were detected with Electron Multipliers. In the Apogee Mode, the Thermal Particle Fluxes were measured while the Potential on a Set of Retarding Grids was stepped through a Sequence of Settings. In the Perigee Mode, the Retarding Grids were grounded and the Detector utilized a Continuous Acceleration Potential Sweep that focused the Mass Ranges from 1 to 8, and 4-u to 32-u. The Time Resolution was 16 ms. Additional Details can be found in C.R. Chappell et al., Space Sci. Instrum., 5(4), 477, 1981. The Criterion for selecting Data Points to be appropriate for fitting include that the Aperature Bias equal to zero must have at least ten or more Non-Zero Points in the RPA Curve. If the Spacecraft Altitude was less that 1.3 Re, the High Voltage Monitor must be turned on, the Maximum Counter Rate Value must at least 5.0, and there must be at least four Points starting from the End of RPA Curve. Find three consecutive Points of increasing Value, reset the End of the RPA Curve to here and make certain that the last Point is one Sigma above the Noise Level (the Points excluded in previous Step). if not, then drop a Point and check the new last Point, continue until the Criteria is met. One must have at least three Points left starting at new End of the selected RPA Curve Stop first Point greater that 80% of the Maximum of Spin Curve. If not found, stop at the last Point that is less than the Maximum. There must be at least three Points left. Change the Curve from the Count Rate Curve to the l**2 Curve. If Number of Points are five or less, then do a Linear Least Squares Fit (LINFIT) to the Data. If the Linear Correlation Coefficient (LCC) greater than 0.8 then the Points will be used, if not, the data set is discarded. If the Number of Points are greater then five, then do a LINFIT to the bottom five and a LINFIT to the top five Points. If there are six or more Points, then apply LINFIT to the middle Set of five Points, saving the LCC and Slope for each Case. If all three LCCs are less than 0.800, then discard the Data Set. Through a Series of Tests, find the Set of five Points with the best LCC Slope Combination. Once the Set of five Points has been selected, add the Rest of the Points one at a time and recompute the LLC with LINFIT, if the LCC gets worse discard the added Point otherwise keep it, do this until all Points are checked. Once this Procedure is completed, the final Set of Points have been determined.

restrictednotspecifiedApr 2025View details →
nasa12/100

CASSINI SS/S RPWS LP DENSITY FROM FLOATING POTENTIAL V1.0

The Cassini Radio and Plasma Wave Science (RPWS) Langmuir Probe proxy electron density data set contains electron densities derived using an empirical relation between the floating potential and electron densities from the Cassini Plasma Spectrometer during the entire Cassini mission. This data set also includes the spacecraft potential which can be derived from the floating potential. The submitted data set includes spacecraft potential, floating potential, and electron density, and is intended to become the most comprehensive and complete data set of electron densities and spacecraft potential in Saturn's low-density, outer magnetosphere derived from the Langmuir Probe floating potential measurement in the Cassini RPWS archive. Data are presented in tables with fixed-length records for ease in data handling.

restrictednotspecifiedMar 2025View details →
nasa12/100

Polar Electric Fields Instrument (EFI), Spacecraft Potential and Plasma Density, Spin Resolution

This data consists of the Spacecraft Potential and the Plasma Density, at spacecraft spin resolution, where the Plasma Density is obtained as a function, provided by Dr. Jack Scudder, the PI of the POLAR Hydra investigation. This function was determined by a fit to the POLAR Hydra particle data for 2001/04/01. The relative accuracy of the Plasma Density, estimated from the spacecraft potential on short time scales is ~10-30% depending on plasma conditions. The absolute accuracy is better than a factor of two for densities less than about 20 particles/cm^3. Density values greater than 30 particles/cm^3 are not plotted because they are inaccurate due to the steep slope of the curve of density versus spacecraft potential. If the value of the argument to the function is too large, then the Plasma Density is set to a filler value of 1.0e+20. Also, if the value returned by the function is too large, then the result is not reliable, and therefore the Plasma Density is set to a filler value of 1.0e+20. If the value of the argument to the function is too small, then the Plasma Density is set to a filler value of 1.0e-20. So, a value of the Plasma Density is a filler value if and only if it is either larger than 1.0e+2 (100.0) or smaller than 1.0e-4 (0.0001); otherwise, it is a true value. Note that all values of the Spacecraft Potential are true values. There is no filler.

restrictednotspecifiedAug 2025View details →
zenodo8/100

Potential aboveground biomass carbon density

<p>This dataset is the potential above-ground biomass carbon density in the eight provinces of southern China from 2002 to 2017 at the resolution of 500m x 500m, with the urban and water areas, cropland, and the southeast margin of the Tibet Plateau masked.&nbsp;The difference between observed carbon density and the carbon carrying capacity is the potential carbon density.&nbsp;</p>

restrictedSep 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record