AndreaBozzo/ceres-open-data-index huggingface dataset:
IceBridge CMG GT-1A Gravimeter L2 Geolocated Free Air Gravity Disturbances V001

This data set contains geolocated free air gravity disturbances derived from measurements taken over Antarctica using the GT-1A gravity meter S-019. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.

Tags: earth-science, gravity-gravitational-field, solid-earth
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Moon: 1:10 million-scale Shaded Relief and Color-coded Topography: Near Side

These lunar maps display the four different areas of the moon with color-coded topography in low and high resolution approved by the International Astronomical Union (IAU).

Tags: far-side, imagery, images, lunar, maps, moon, near-side, north-pole, south-pole, topography, usgs, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
Grocery Sites

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Feature layer containing authoritative grocery site points for Sioux Falls, South Dakota.</span>

Tags: community, grocery-site, lincoln, minnehaha, safety, sd, sioux-falls, south-dakota
Organization: City of Sioux Falls
Ricebase

<p>Ricebase (<a href="https://ricebase.org">https://ricebase.org</a>) is an integrative genomic database for rice (Oryza sativa) with an emphasis on combining datasets in a way that maintains the key links between past and current genetic studies. Ricebase includes DNA sequence data, gene annotations, nucleotide variation data and molecular marker fragment size data. Rice research has benefited from early adoption and extensive use of simple sequence repeat (SSR) markers; however, the majority of rice SSR markers were developed prior to the latest rice pseudomolecule assembly. Interpretation of new research using SNPs in the context of literature citing SSRs requires a common coordinate system. A new pipeline, using a stepwise relaxation of stringency, was used to map SSR primers onto the latest rice pseudomolecule assembly. The SSR markers and experimentally assayed amplicon sizes are presented in a relational database with a web-based front end, and are available as a track loaded in a genome browser with links connecting the browser and database. The combined capabilities of Ricebase link genetic markers, genome context, allele states across rice germplasm and potentially user curated phenotypic interpretations as a community resource for genetic discovery and breeding in rice.</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Ricebase.</p> <p>File Name: Web Page, url: <a href="https://ricebase.org/" target="_blank">https://ricebase.org/</a> </p><p>Ricebase: a breeding and genetics platform for rice, integrating individual molecular markers, pedigrees and whole-genome-based data</p></li></ul>

Tags: ars, data-gov, np301, online-database
Organization: Department of Agriculture
Sorption Isotherm Spreadsheet

<p>Spreadsheet from the paper entitled: On the Use of Linearized Langmuir Equations by C.H. Bolster and G.M. Hornberger, Soil Science Society of America Journal, 2007, 71(6): 1796-1806.</p>
<p>Spreadsheet has been modified to correct the following errors:</p>
<p>(11/01/12)</p>
<p>In earlier versions the initial guess for the n parameter in the Freundlich model did not update when data were added to spreadsheet. This has now been corrected in the new vesrion (1.6)</p>
<p>(3/17/10)</p>
<ol>
<li>In the original spreadsheet the L-F model (Eq. [2]) did not have the K value raised to the n power. The attached spreadsheet has corrected this.</li>
<li>There was a typo in the units with the Langmuir K parameter in the spreadsheet. The units should have read L/mg rather than L/kg when C is in mg/L. To avoid confusion, in the updated version the units have been removed since they are dependent on the units used for C and S.</li>
<li>I have recently shown that the traditional method of weighting data by the inverse of the variance in the dependent variable can lead to poorer parameter estimates and uncertainties than with unweighted least squares regression when applied to sorption data (C.H. Bolster and J. Tellinghuisen. 2010. On the Significance of Properly Weighting Sorption Data for Least-Squares Analysis. Soil Science Society of America 74:670-679). Therefore, the weighting option has been removed from the spreadsheet (3/2010). If weighting of data is needed, please contact me at carl.bolster@ars.usda.gov for a modified version of the spreadsheet.</li>
<li>wiin the denominator in Eq. [5] of Bolster and Hornberger (2007 SSSAJ) should be outside of the parenthesis. (This only applies to weighted dat</li>
</ol>
<p>a and therefore is not applicable to current spreadsheet)</p>
<p>This research was originally part of the former USDA-ARS National Program 206: Manure and By-product Utilization.  </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Sorption Isotherm Spreadsheet.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=201&modecode=50-40-05-00">https://www.ars.usda.gov/research/software/download/?softwareid=201&modecode=50-40-05-00</a> </p><p>download page</p></li></ul><p></p>

Tags: ars, data-gov, np206
Organization: Department of Agriculture
PECMAN Software

<p>Peanut Curing Manager (PECMAN) is a decision support system that assists drying facility managers with inventory control.  It schedules sampling and removal times, estimates time remaining on dryer and current moisture content.  Cooperators have reported reduced drying costs and improved peanut quality. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: PECMAN Software.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=202&modecode=60-44-05-00">https://www.ars.usda.gov/research/software/download/?softwareid=202&modecode=60-44-05-00</a> </p><p>download page</p></li></ul><p></p>

Tags: computer-software, decision-support-systems, drying, inventories, managers, models, peanuts, water-content
Organization: Department of Agriculture
CXTFIT

<p>Successful predictions of the fate and transport of solutes in the subsurface hinges on the availability of accurate transport parameters. We modified and updated the CXTFIT (version 1.0) code of Parker and van Genuchten [1984] for estimating solute transport parameters using a nonlinear least-squares parameter optimization method. The program may be used to solve the inverse problem by fitting mathematical solutions of theoretical transport models, based upon the convection-dispersion equation (CDE), to experimental results. This approach allows parameters in the transport models to be quantified. The program may also be used to solve the direct or forward problem to determine the concentration as a function of time and/or position. Three different one-dimensional transport models are included: the conventional CDE; the chemical and physical nonequilibrium CDE; and  a stochastic stream tube model based upon the local-scale CDE with equilibrium or nonequilibrium adsorption. The two independent stochastic parameters in the stream-tube model are the pore-water velocity, v, and either the dispersion coefficient, D, the distribution coefficient, Kd, or the nonequilibrium rate parameter, alpha. These pairs of stochastic parameters were described with a bivariate lognormal probability density function (pdf). Examples are given on how transport parameters may be determined from laboratory or field tracer experiments for several types of initial and boundary conditions, as well as different zero-order production profiles. </p>
<p>The program comes with a user manual giving a detailed description of the computer program, including the subroutines used to evaluate the analytical solutions for optimizing model parameters. Input and output files for all major problems are also included in the manual. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: CXTFIT download page.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=92&modecode=20-36-15-00">https://www.ars.usda.gov/research/software/download/?softwareid=92&modecode=20-36-15-00</a> </p></li></ul><p></p>

Tags: adsorption, computer-software, equations, least-squares, models, natural-resources-earth-and-environmental-sciences, prediction, probability-distribution, solutes, streams, system-optimization
Organization: Department of Agriculture
BMC Genomics P. pachyrhizi Supplemental Data

<p>Data about Phakopsora pachyrhizi, causative agent of soybean rust. Genomics and Bioinformatics Research Unit, Stoneville, MS.</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: All supplemental files.</p> <p>File Name: AllSupplementalFiles.zip</p><p>Resource Description: </p><p>Word, Excel, and JAVA files</p>
<p></p></li><br><li><p>Resource Title: Data dictionary for BMC Genomics P. pachyrhizi Supplemental Data.</p> <p>File Name: Data Dictionary - BMC Genomics P. pachyrhizi Supplemental Data.csv</p></li></ul>

Tags: ars, bioinformatics, data-gov, soybean-rust
Organization: Department of Agriculture
Rice Data

<p>Simple Nucleotide Polymorphism (SNP) Data (12 chromosomes) MY2 SSRs MY2 Traits. 
Genomics and Bioinformatics Research Unit, Stoneville, MS.</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Rice_SNP_data_chromosomes_1-6.</p> <p>File Name: Rice_SNP_data_chromosomes_1-6_0.zip</p><p>Resource Description: </p><p>Rice_SNP_data_chromosomes_1-6</p>
<p></p></li><br><li><p>Resource Title: Rice_SNP_data_chromosomes_7-12.</p> <p>File Name: Rice_SNP_data_chromosomes_7-12.zip</p><p>Resource Description: </p><p>Rice_SNP_data_chromosomes_7-12</p>
<p></p></li><br><li><p>Resource Title: MY2.</p> <p>File Name: MY2.zip</p><p>Resource Description: </p><p>MY2</p>
<p></p></li></ul>

Tags: ars, chromosomes, chrysocolla, data-gov, simple-sequence-repeat, snp, ssr
Organization: Department of Agriculture
HIRO2

<p><strong><em> Please note: This software is no longer being updated or maintained, and is out of date. </em></strong></p>
<p>HIRO2 (Hortonian Infiltration and Run-Off/On) is a spatially distributed rainfall-runoff model for event-based studies of space-time watershed processes. A grid-based routing hierarchy was defined over the watershed using the D-infinity contributing area algorithm. Computation of ponding time was included to handle variable run-on and rainfall intensity. The Green-Ampt model was adopted to calculate surface infiltration, and the kinematic wave model was used to route Hortonian runoff and channel flow. The model can handle input rainfall, soil parameters, surface roughness, and other properties that vary in space and time. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: HIRO2.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=239&modecode=30-12-30-25">https://www.ars.usda.gov/research/software/download/?softwareid=239&modecode=30-12-30-25</a> </p><p>download page</p></li></ul><p></p>

Tags: algorithms, computer-software, hydrologic-models, models, rain, rain-intensity, runoff, soil, space-and-time, surface-roughness, watersheds
Organization: Department of Agriculture
Louisiana Sugarcane yield data (2010-2021) collected for the Louisiana Variety Development Program

<p dir="ltr">The experiment materials used in this study were sugarcane genotypes used and/or developed by the Louisiana sugarcane breeding programs of the Louisiana State University (LSU) Agricultural Center and Agricultural Research Service of the United States Department of Agriculture Sugarcane League. Yield data was taken by representatives of all three groups from sugarcane variety trials for use in breeding and selection of sugarcane for Louisiana. Data was estimated from sugarcane samples taken from 32 locations (LOC), varying over 12 years 2010-2021 (YEAR) for four stages (2-5) of the breeding program (STAGE) and 1158 unique genotypes (CLONE) with up to 5 harvests or crops (CROP) and varying number of replications (REPS). Yield data included T_SPACRE, pounds of sugar per acre (lbs./acre), TRS, theoretical recoverable sugar in pound sugar per ton of sugarcane (lbs./ton); TCA, ton of cane per acre (ton/acre); POPN, stalk population number (#); MSTWT, mean stalk weight (lbs).</p>

Tags: biofuel, breeding, louisiana, sucrose, sugarcane
Organization: Department of Agriculture
Bio-Control Parasite

<p>Developed by Gloria DeGrandi-Hoffman et al. A model that simulates host and parasitoid population interactions, parasitism rates, and plant damage is described.  BIOCONTROL-PARASITE can simulate many different species of phytophagus insects, parasitoids, and plants because specifics of the insect and plant biology are entered though menus at the beginning of a simulation. Now available in a complete archive (.ZIP file). </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Bio-Control Parasite.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=73&modecode=20-22-05-00">https://www.ars.usda.gov/research/software/download/?softwareid=73&modecode=20-22-05-00</a> </p></li></ul><p></p>

Tags: computer-software, insects, models, parasitism, parasitoids, plant-biology, plant-damage
Organization: Department of Agriculture
FINDHAP

<p>The findhap.f90 program finds haplotypes and imputes genotypes using multiple chip sets and sequence data. Program and download information can be found at the Animal Improvement Program (AIP) web site: <a href="http://aipl.arsusda.gov/software/findhap">http://aipl.arsusda.gov/software/findhap</a></p>
<p><strong>Downloads</strong>
Version 4 program, example files, and executable
(beta version — not quite ready for routine use on U.S. chip data, but performs better than version 3 for sequence data)</p>
<p><a href="https://aipl.arsusda.gov/software/findhap/SequenceFiles.zip">Example data files</a> for <a href="https://asas.org/docs/default-source/wcgalp-proceedings-oral/179_paper_9110_manuscript_445_0.pdf">imputation study</a> presented by VanRaden and Sun at the 2014 World Congress on Genetics Applied to Livestock Production</p>
<ul>
<li>Files include actual pedigree, simulated true genotypes, simulated sequence reads, and imputed genotypes.</li>
<li>This example used 500 reference bulls sequenced at 4× with 1% error and containing high-density SNPs; the 250 young bulls used to test imputation had only high-density SNPs.</li>
<li>
<p>Other examples in the study can be generated by setting other options for programs findhap4, geno2seq, and genosim.</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: FINDHAP.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=494&modecode=80-42-05-30" target="_blank">https://www.ars.usda.gov/research/software/download/?softwareid=494&modecode=80-42-05-30</a> </p><p>download page</p></li></ul>
</li>
</ul>

Tags: alleles, animals, chromosomes, computer-software, gene-frequency, haplotypes, models, single-nucleotide-polymorphism
Organization: Department of Agriculture
MTDFREML: Multiple-trait derivative-free restricted maximum likelihood

<p dir="ltr">Part of the Animal Improvement Program, The MTDFREML programs are distributed in a text form sent as a set of attachments. Two different versions are currently supported, with the primary difference being the timing routines. The "PC" version uses the timing routines from the Microsoft Powerstation Fortran compiler. These routines are supported in the Digital/Compaq "upgrade" to that compiler, the Visual Fortran compiler. The other version has timing routines disabled. Please specify which version you would like when requesting the software.</p><p dir="ltr">The sparse routines are a modified and reduced version of the Sparspak routines developed and modified by Alan George at University of Waterloo This modification included dealing with singular matrices, adapting the developments that Steve Kachman implemented in the original version. These new routines for use only with the MTDFREML programs. Please make sure to let us know if you are using the program. This can be done in several ways. Fill out the user information form on the world wide web home page or to FTP, complete, and mail or e-mail the userinfo.txt file.</p><p dir="ltr">In order to keep track of researchers using MTDFREML programs are e-mailed on request. This allows us to contact users in the case of bugs or upgrades. Please send an e-mail to Dale Van Vleck requesting a copy of the software.</p><p dir="ltr">Resources in this dataset:</p><ul><li>Resource Title: MTDFREML.File Name: Web Page, url: <a href="https://www.ars.usda.gov/northeast-area/beltsville-md-barc/beltsville-agricultural-research-center/agil/agil_software/mtdfreml/mtdfreml/" rel="noreferrer" target="_blank">https://www.ars.usda.gov/northeast-area/beltsville-md-barc/beltsville-agricultural-research-center/agil/agil_software/mtdfreml/mtdfreml/</a>  download and information page</li></ul><p><br></p>

Tags: animal-genetics, animals, computer-software, models, statistical-analysis
Organization: Department of Agriculture
AMSR-E/Aqua L2B Global Swath Surface Precipitation GSFC Profiling Algorithm V003

The AMSR-E/Aqua Level-2B precipitation product includes instantaneous surface precipitation rate and type over ice-free/snow-free land and ocean between 89.24 degrees north and south latitudes at at 10 km spatial resolution along the track and 5 km spatial resolution along the scan. The data are generated by the GPROF 2010 Version 2 algorithm using Version 3 of the AMSR-E Level-2A Brightness Temperatures.

Tags: atmosphere, clouds, earth-science, precipitation
Organization: National Aeronautics and Space Administration
Landsat 7 ETM+ Systematically Corrected (1999-May 2003)

The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge. 

The Landsat archive provides a rich collection of information about the Earth's land surface. Major characteristics of changes to the surface of the planet can be detected, measured, and analyzed using Landsat data. The information obtainable from the historical and current Landsat data play a key role in studying surface changes through time.

Tags: earth-science, land-surface, surface-radiative-properties, topography
Organization: National Aeronautics and Space Administration
References: AePW publications

This page is the repository for the publications resulting from the AePW.  This includes the special sessions at conferences:

AIAA ASM 2012, Grapevine TX;

AIAA SDM 2012, Boston;

RAES IFASD 2012, Bristol UK;  

Also included:

ICCFD 2012, Hawaii;

USNCCM 2013, Raleigh

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
CDDIS_GNSS_products_troposphere

Troposphere Zenith Path Delay (ZPD) values by site derived from analysis of Global Navigation Satellite System (GNSS) data. These products are the generated by analysis centers in support of the International GNSS Service (IGS) and combined by the IGS troposphere analysis coordinator to form the official IGS troposphere product (daily).

Tags: nasa
Organization: National Aeronautics and Space Administration
GOES-R PLT Lightning Instrument Package (LIP) V1

The GOES-R PLT Lightning Instrument Package (LIP) dataset consists of electrical field measurements of lightning and navigation data collected by the Lightning Instrument Package (LIP) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM).  These data files are available in ASCII format with browse imagery available in PDF format.

Tags: atmosphere, atmospheric-electricity, earth-science
Organization: National Aeronautics and Space Administration
IceBridge BGM-3 Gravimeter L1B Time-Tagged Accelerations V001

This data set contains vertical acceleration values for Antarctica using the BGM-3 Gravimeter. The data were collected by scientists working on the the International Collaborative Exploration of the Cryosphere through Airborne Profiling (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.

Tags: earth-science, gravity-gravitational-field, solid-earth
Organization: National Aeronautics and Space Administration
IceBridge KT19 IR Surface Temperature V002

This data set contains surface temperature measurements of Arctic and Antarctic sea ice and land ice acquired by the Heitronics KT19.85 Series II Infrared Radiation Pyrometer. The instrument is operated by the Wallops Flight Facility (WFF) as part of the ATM instrument suite. The data were collected as part of the Operation IceBridge funded survey campaigns.

Tags: cryosphere, earth-science, sea-ice, snow-ice
Organization: National Aeronautics and Space Administration
IceBridge HiCARS 1 L1B Time-Tagged Echo Strength Profiles V001

This data set contains Antarctica radar sounder echo strength profiles from the Hi-Capability Radar Sounder (HiCARS)  Version 1 instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which was funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.

Tags: earth-science, radar, spectral-engineering
Organization: National Aeronautics and Space Administration
OCO-3 Level 2 meteorological parameters interpolated from global assimilation model for each sounding, Forward Processing V10 (OCO3_L2_Met) at GES DISC

Version 10 is the current version of the data set. Older versions will no longer be available and are superseded by Version 10.

The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2.

The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere.

OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. 

Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data  with further analysis performed on OCO-2 simulations.

The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol.

Tags: atmosphere, atmospheric-chemistry, earth-science
Organization: National Aeronautics and Space Administration