100+ datasets found
  1. d

    Data from: Utah FORGE: Data for 3-D Model Development - Lithology,...

    • catalog.data.gov
    • gdr.openei.org
    • +2more
    Updated Jan 20, 2025
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    Idaho National Laboratory (2025). Utah FORGE: Data for 3-D Model Development - Lithology, Temperature, Pressure, and Stress [Dataset]. https://catalog.data.gov/dataset/utah-forge-data-for-3-d-model-development-lithology-temperature-pressure-and-stress-51c64
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    Idaho National Laboratory
    Description

    This submission comprises two downloadable .zip archives. Each archive contains spreadsheets with 3-D data and a .txt document describing the data. The Mesh Files .zip download contains data regarding the lithologic contacts of the granitoid and overlying sedimentary basin fill. The Initial Conditions .zip download contains data regarding temperature, pressure, and stress. These data were generated during Utah FORGE Phase 2 and exported from Seequent Leapfrog Geothermal. They are intended for use in 3-D earth modeling.

  2. h

    STILL-3-Preview-RL-Data

    • huggingface.co
    Updated Jan 27, 2025
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    RUC-AIBOX (2025). STILL-3-Preview-RL-Data [Dataset]. https://huggingface.co/datasets/RUC-AIBOX/STILL-3-Preview-RL-Data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 27, 2025
    Dataset authored and provided by
    RUC-AIBOX
    Description

    Introduction

    STILL-3-Preview-RL-Data consists of ~30K math question-answer pairs for RL training.

      Data Source
    

    We curate STILL-3-Preview-RL-Data based on MATH, NuminaMathCoT, and AIME 1983-2023 as the data source.

      Data Format Description
    

    Each line is a dictionary containing the following three keys:

    question: This is the question being asked. messages: This is the formatted input using a chat template. answer: This is the answer of the question.… See the full description on the dataset page: https://huggingface.co/datasets/RUC-AIBOX/STILL-3-Preview-RL-Data.

  3. c

    Geothermal Temperature isolines at 3 km depth of Italy CNR

    • geothoponode.igg.cnr.it
    Updated Dec 28, 2018
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    http://geothoponode.igg.cnr.it/people/profile/eugenio/ (2018). Geothermal Temperature isolines at 3 km depth of Italy CNR [Dataset]. http://geothoponode.igg.cnr.it/layers/IGG_Geothermal_Data_Repository%3Aiso_3000
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    Dataset updated
    Dec 28, 2018
    Authors
    http://geothoponode.igg.cnr.it/people/profile/eugenio/
    Area covered
    Italy
    Description

    Temperature contour map at 3 km of Italy. The Temperature contour map at 3 km of Italy has been obtained digitizing the map from scientific paper: Cataldi, R., Mongelli, F., Squarci, P., Taffi, L., Zito, G., Calore, C. - 1995 - Geothermal ranking of Italian territory. Geothermics, 24 (1), 115-129. The map together with the Italian National Geothermal Database can be accessed through Geothopica web portal at http://geothopica.igg.cn...

  4. f

    Top 10 differentially expressed genes at 3 dpe VS Normal.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Aug 6, 2013
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    Ma, Deyou; Sun, Lina; Chen, Muyan; Lin, Chenggang; Yang, Hongsheng (2013). Top 10 differentially expressed genes at 3 dpe VS Normal. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001733838
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    Dataset updated
    Aug 6, 2013
    Authors
    Ma, Deyou; Sun, Lina; Chen, Muyan; Lin, Chenggang; Yang, Hongsheng
    Description

    ↑: up-regulated ↓:down-regulated FDR: False Discovery Rate “0” means P value <1E-238.

  5. a

    Phi-3 Mini Output Speed by Provider on Azure

    • artificialanalysis.ai
    Updated Dec 29, 2024
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    Artificial Analysis (2024). Phi-3 Mini Output Speed by Provider on Azure [Dataset]. https://artificialanalysis.ai/models/phi-3-mini/providers
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    Dataset updated
    Dec 29, 2024
    Dataset authored and provided by
    Artificial Analysis
    Description

    Comparison of Output Tokens per Second; Higher is better by Provider

  6. A

    Australia Imports: Japan: Non Electrical Machinery & Parts

    • ceicdata.com
    + more versions
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    CEICdata.com, Australia Imports: Japan: Non Electrical Machinery & Parts [Dataset]. https://www.ceicdata.com/en/australia/imports-by-country-and-commodity-by-3-digits-sitc/imports-japan-non-electrical-machinery--parts
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    Australia
    Description

    Australia Imports: Japan: Non Electrical Machinery & Parts data was reported at 1,767.368 AUD th in Feb 2025. This records a decrease from the previous number of 4,859.561 AUD th for Jan 2025. Australia Imports: Japan: Non Electrical Machinery & Parts data is updated monthly, averaging 3,499.698 AUD th from Jul 2019 (Median) to Feb 2025, with 68 observations. The data reached an all-time high of 7,316.107 AUD th in Sep 2023 and a record low of 1,239.894 AUD th in May 2020. Australia Imports: Japan: Non Electrical Machinery & Parts data remains active status in CEIC and is reported by Department of Foreign Affairs and Trade. The data is categorized under Global Database’s Australia – Table AU.JA027: Imports: by Country and Commodity: by 3 Digits SITC.

  7. Share of 3-5 year olds enrolled in school, by state U.S. 2021

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Share of 3-5 year olds enrolled in school, by state U.S. 2021 [Dataset]. https://www.statista.com/statistics/625628/share-of-3-4-year-olds-enrolled-in-school-by-state-us/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, **** percent of three to five year olds in the District of Columbia were enrolled in school. In New Jersey, this figure stood at **** percent. In comparison, less than half of three to five year old North Dakotans were enrolled in school -- just **** percent.

  8. Materials Data on V2(OF)3 by Materials Project

    • osti.gov
    Updated May 2, 2020
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    USDOE Office of Science (SC), Basic Energy Sciences (BES) (2020). Materials Data on V2(OF)3 by Materials Project [Dataset]. http://doi.org/10.17188/1308889
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    Dataset updated
    May 2, 2020
    Dataset provided by
    Department of Energy Basic Energy Sciences Programhttp://science.energy.gov/user-facilities/basic-energy-sciences/
    Office of Sciencehttp://www.er.doe.gov/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Description

    V2(OF)3 crystallizes in the triclinic P1 space group. The structure is three-dimensional. there are six inequivalent V+4.50+ sites. In the first V+4.50+ site, V+4.50+ is bonded to three O2- and three F1- atoms to form distorted corner-sharing VO3F3 octahedra. The corner-sharing octahedra tilt angles range from 17–39°. There are a spread of V–O bond distances ranging from 1.67–2.12 Å. There are a spread of V–F bond distances ranging from 1.97–2.00 Å. In the second V+4.50+ site, V+4.50+ is bonded to three O2- and three F1- atoms to form distorted corner-sharing VO3F3 octahedra. The corner-sharing octahedra tilt angles range from 14–36°. There are a spread of V–O bond distances ranging from 1.67–2.11 Å. There are a spread of V–F bond distances ranging from 1.95–2.04 Å. In the third V+4.50+ site, V+4.50+ is bonded to three O2- and three F1- atoms to form distorted corner-sharing VO3F3 octahedra. The corner-sharing octahedra tilt angles range from 14–36°. There are a spread of V–O bond distances ranging from 1.67–2.13 Å. There are a spread of V–F bond distances ranging from 1.92–2.09 Å. In the fourth V+4.50+ site, V+4.50+ is bonded to three O2- and three F1- atoms to form distorted corner-sharing VO3F3 octahedra. The corner-sharing octahedra tilt angles range from 18–38°. There are a spread of V–O bond distances ranging from 1.67–2.15 Å. There are a spread of V–F bond distances ranging from 1.96–1.99 Å. In the fifth V+4.50+ site, V+4.50+ is bonded to three O2- and three F1- atoms to form distorted corner-sharing VO3F3 octahedra. The corner-sharing octahedra tilt angles range from 8–39°. There are a spread of V–O bond distances ranging from 1.67–2.12 Å. There are a spread of V–F bond distances ranging from 1.88–2.16 Å. In the sixth V+4.50+ site, V+4.50+ is bonded to three O2- and three F1- atoms to form distorted corner-sharing VO3F3 octahedra. The corner-sharing octahedra tilt angles range from 8–31°. There are a spread of V–O bond distances ranging from 1.67–2.11 Å. There are a spread of V–F bond distances ranging from 1.89–2.18 Å. There are nine inequivalent O2- sites. In the first O2- site, O2- is bonded in a distorted bent 150 degrees geometry to two V+4.50+ atoms. In the second O2- site, O2- is bonded in a 2-coordinate geometry to two V+4.50+ atoms. In the third O2- site, O2- is bonded in a distorted bent 150 degrees geometry to two V+4.50+ atoms. In the fourth O2- site, O2- is bonded in a distorted bent 150 degrees geometry to two V+4.50+ atoms. In the fifth O2- site, O2- is bonded in a distorted bent 150 degrees geometry to two V+4.50+ atoms. In the sixth O2- site, O2- is bonded in a 2-coordinate geometry to two V+4.50+ atoms. In the seventh O2- site, O2- is bonded in a 2-coordinate geometry to two V+4.50+ atoms. In the eighth O2- site, O2- is bonded in a distorted linear geometry to two V+4.50+ atoms. In the ninth O2- site, O2- is bonded in a bent 150 degrees geometry to two V+4.50+ atoms. There are nine inequivalent F1- sites. In the first F1- site, F1- is bonded in a bent 150 degrees geometry to two V+4.50+ atoms. In the second F1- site, F1- is bonded in a bent 150 degrees geometry to two V+4.50+ atoms. In the third F1- site, F1- is bonded in a bent 150 degrees geometry to two V+4.50+ atoms. In the fourth F1- site, F1- is bonded in a bent 150 degrees geometry to two V+4.50+ atoms. In the fifth F1- site, F1- is bonded in a bent 150 degrees geometry to two V+4.50+ atoms. In the sixth F1- site, F1- is bonded in a distorted bent 150 degrees geometry to two V+4.50+ atoms. In the seventh F1- site, F1- is bonded in a distorted linear geometry to two V+4.50+ atoms. In the eighth F1- site, F1- is bonded in a distorted bent 150 degrees geometry to two V+4.50+ atoms. In the ninth F1- site, F1- is bonded in a bent 150 degrees geometry to two V+4.50+ atoms.

  9. d

    Enhanced Terrain Imagery of the Wellsboro 30 x 60 Minute Quadrangle from...

    • catalog.data.gov
    Updated Oct 3, 2024
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    U.S. Geological Survey (2024). Enhanced Terrain Imagery of the Wellsboro 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution [Dataset]. https://catalog.data.gov/dataset/enhanced-terrain-imagery-of-the-wellsboro-30-x-60-minute-quadrangle-from-lidar-derived-ele
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    Dataset updated
    Oct 3, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Wellsboro
    Description

    This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Wellsboro 30 x 60 minute quadrangle in Pennsylvania. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2019 and 2020. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

  10. v

    Airborne geophysical survey: San Francisco Peaks, Arizona Survey Part 3 of 3...

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • datasets.ai
    • +4more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Airborne geophysical survey: San Francisco Peaks, Arizona Survey Part 3 of 3 [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/airborne-geophysical-survey-san-francisco-peaks-arizona-survey-part-3-of-3
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Arizona, San Francisco Mountain
    Description

    Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude, longitude, altitude, and magnetic-field values.

  11. v

    2018 digital elevation models of karst areas in Puerto Rico at 3-meter...

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). 2018 digital elevation models of karst areas in Puerto Rico at 3-meter resolution [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/2018-digital-elevation-models-of-karst-areas-in-puerto-rico-at-3-meter-resolution
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Puerto Rico
    Description

    This raster dataset contains 3-meter digital elevation models (DEMs) of 7.5 minute quadrangles in karst areas of Puerto Rico and was created using GlobalMapper v.23 software. These DEMs were derived from 1-meter DEM tiles acquired through the USGS 3D Elevation Program (3DEP). The data are projected in North America Datum (NAD) 1983 (2011) UTM Zone 19N.

  12. IE GSI GSNI Electromagnetic Resistivity at 3 kHz (2 Frequency) 50m Ireland...

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jun 25, 2013
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    Geological Survey Ireland (2013). IE GSI GSNI Electromagnetic Resistivity at 3 kHz (2 Frequency) 50m Ireland (ROI/NI) ITM GRID WMS [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/df6f82cffee14d648d2f04da0b64d6e0
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    Dataset updated
    Jun 25, 2013
    Dataset provided by
    Geological Survey of Ireland
    Authors
    Geological Survey Ireland
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    These data show how different types of rocks resist the flow of electrical currents across Ireland. The rock types can then be mapped. The data were collected between 2005 and 2021.Several surveys were merged to create this dataset. (1) Tellus Northern Ireland 2005-2006(2) Cavan-Monaghan, 2006(3) Tellus Border, 2011-2012(4) Tellus North Midlands, 2014-2015(5) Block A1, 2015(6) Block A2, 2016(7) Waterford, 2016(8) Block A3, 2017(9) Block A4, 2017(10) Block A5, 2018-2019(11) Block A6, 2018-2019(12) Block A7, 2019(13) Block A8 2020-2021(14) Block A9 2021The data were collected using an airplane. The airplane flies at 60 m flight height along lines that are 200 m apart. Electromagnetic data are recorded at around 6 m intervals along the flight lines. The electromagnetic system mounted on the airplane sends an electromagnetic signal (at different frequencies) into the ground and records the response of the ground returning to the system receiver. The response changes depending on the type of rock or soil that the electromagnetic signal meets. For example, graphite has a high response value (meaning it is a low resistivity rock) while limestone has a low response value (it is a high resistivity rock).The data are collected as points in XYZ format. X and Y are the airplane coordinates. Z is the different recorded data, which include electromagnetic responses and aircraft flight height. The XYZ data for each line contains thousands of points. The data from separate lines are merged to create a resistivity grid for each survey block. All the survey blocks are then merged to create a final resistivity grid for Ireland.Colours are used to show resistivity ranges. Resistivity values are defined in ohm-metre units. Pinks and reds show the highest values. Greens and blues show lower values.This is a raster dataset. Raster data stores information in a cell-based manner and consists of a matrix of cells (or pixels) arranged into rows and columns. The format of the raster is a grid. The grid cell size is 50 m by 50 m. This means that each cell (pixel) represents an area on the ground of 50 metres squared. Each cell has a value which is the average resistivity of all the points located within that cell.The Tellus project is a national survey which collects geochemical and geophysical data across Ireland. It allows us to study the chemical and physical properties of our soil, rocks and water. It is managed by the Geological Survey Ireland.

  13. Response of the EPI-200 human 3-D skin model to high and low doses of...

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • omicsdi.org
    • +4more
    Updated Apr 24, 2025
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    National Aeronautics and Space Administration (2025). Response of the EPI-200 human 3-D skin model to high and low doses of protons [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/response-of-the-epi-200-human-3-d-skin-model-to-high-and-low-doses-of-protons-ca21b
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    Accumulating data suggest that the biological responses to high and low doses of radiation are qualitatively different necessitating the direct study of low dose responses. Most such studies have utilized 2-dimensional culture systems which may not fully represent responses in 3-dimensional tissues. To gain insight into low dose responses in tissue we have profiled global gene expression in EPI-200 a 3-dimensional tissue model from MatTek that imitates the structure and function of human epidermis at 4 16 and 24 hours after exposure to high (2.5 Gy) and low (0.1 Gy) doses of low LET protons. Untreated controls and samples exposed to 10 cGy or to 2.5 Gy were analyzed at three different times (4 16 or 24 hours after exposure). Three biological repeats were performed for each condition

  14. d

    Unprocessed aerial imagery from 3 March 2021 coastal survey of Central...

    • catalog.data.gov
    • gimi9.com
    Updated Sep 26, 2024
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    U.S. Geological Survey (2024). Unprocessed aerial imagery from 3 March 2021 coastal survey of Central California. [Dataset]. https://catalog.data.gov/dataset/unprocessed-aerial-imagery-from-3-march-2021-coastal-survey-of-central-california
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    Dataset updated
    Sep 26, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    California, Central California
    Description

    This is a set of 2049 oblique aerial photogrammetric images and their derivatives, collected from Natural Bridges to Monterey (x2) with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

  15. a

    End-to-End Response Time by Input Token Count by Phi-3 Endpoint

    • artificialanalysis.ai
    Updated May 15, 2025
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    Artificial Analysis (2025). End-to-End Response Time by Input Token Count by Phi-3 Endpoint [Dataset]. https://artificialanalysis.ai/models/phi-3-mini
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Artificial Analysis
    Description

    Comparison of Seconds to Output 500 Tokens, including reasoning model 'thinking' time; Lower is better by Model

  16. f

    Data_Sheet_1_Age, but Not Amyloidosis, Induced Changes in Global Levels of...

    • frontiersin.figshare.com
    docx
    Updated Jun 1, 2023
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    Marcus Dyer; Andrew J. Phipps; Stanislaw Mitew; Phillippa C. Taberlay; Adele Woodhouse (2023). Data_Sheet_1_Age, but Not Amyloidosis, Induced Changes in Global Levels of Histone Modifications in Susceptible and Disease-Resistant Neurons in Alzheimer’s Disease Model Mice.docx [Dataset]. http://doi.org/10.3389/fnagi.2019.00068.s001
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Marcus Dyer; Andrew J. Phipps; Stanislaw Mitew; Phillippa C. Taberlay; Adele Woodhouse
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    There is increasing interest in the role of epigenetic alterations in Alzheimer’s disease (AD). The epigenome of every cell type is distinct, yet data regarding epigenetic change in specific cell types in aging and AD is limited. We investigated histone tail modifications in neuronal subtypes in wild-type and APP/PS1 mice at 3 (pre-pathology), 6 (pathology-onset) and 12 (pathology-rich) months of age. In neurofilament (NF)-positive pyramidal neurons (vulnerable to AD pathology), and in calretinin-labeled interneurons (resistant to AD pathology) there were no global alterations in histone 3 lysine 4 trimethylation (H3K4me3), histone 3 lysine 27 acetylation (H3K27ac) or histone 3 lysine 27 trimethylation (H3K27me3) in APP/PS1 compared to wild-type mice at any age. Interestingly, age-related changes in the presence of H3K27ac and H3K27me3 were detected in NF-labeled pyramidal neurons and calretinin-positive interneurons, respectively. These data suggest that the global levels of histone modifications change with age, whilst amyloid plaque deposition and its sequelae do not result in global alterations of H3K4me3, H3K27ac and H3K27me3 in NF-positive pyramidal neurons or calretinin-labeled interneurons.

  17. d

    Data for: A modified Michaelis-Menten equation estimates growth from birth...

    • search.dataone.org
    • dataone.org
    Updated Jul 12, 2025
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    Catherine Ley; William Walters (2025). Data for: A modified Michaelis-Menten equation estimates growth from birth to 3 years in healthy babies in the US [Dataset]. http://doi.org/10.5061/dryad.4j0zpc8jf
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    Dataset updated
    Jul 12, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Catherine Ley; William Walters
    Time period covered
    Jan 1, 2023
    Description

    Background: Standard pediatric growth curves cannot be used to impute missing height or weight measurements in individual children. The Michaelis-Menten equation, used for characterizing substrate-enzyme saturation curves, has been shown to model growth in many organisms including nonhuman vertebrates. We investigated whether this equation could be used to interpolate missing growth data in children in the first three years of life. Methods: We developed a modified Michaelis-Menten equation and compared expected to actual growth, first in a local birth cohort (N=97) then in a large, outpatient, pediatric sample (N=14,695). Results: The modified Michaelis-Menten equation showed excellent fit for both infant weight (median RMSE: boys: 0.22kg [IQR:0.19; 90%<0.43]; girls: 0.20kg [IQR:0.17; 90%<0.39]) and height (median RMSE: boys: 0.93cm [IQR:0.53; 90%<1.0]; girls: 0.91cm [IQR:0.50;90%<1.0]). Growth data were modeled accurately with as few as four values from routine well-baby ..., Sources of data: Information on infants was ascertained from two sources: the STORK birth cohort and the STARR research registry. (1) Detailed methods for the STORK birth cohort have been described previously. In brief, a multiethnic cohort of mothers and babies was followed from the second trimester of pregnancy to the babies’ third birthday. Healthy women aged 18–42 years with a single-fetus pregnancy were enrolled. Households were visited every four months until the baby’s third birthday (nine baby visits), with the weight of the baby at each visit recorded in pounds. Medical charts were abstracted for birth weight and length. (2) STARR (starr.stanford.edu) contains electronic medical record information from all pediatric and adult patients seen at Stanford Health Care (Stanford, CA). STARR staff provided anonymized information (weight, height and age in days for each visit through age three years; sex; race/ethnicity) for all babies during the period 03/2013–01/2022 followed from bi..., The R code, as written in RStudio, are saved as MME_weights.RMD, MME_heights.RMD, MME_predictions_weights.RMD, and MME_predictions_heights.RMD. The tab-delimited and anonymized source data for weights and heights (both jittered) are posted. These can be used with the R code-but the user will need to correct input and output filepaths used in the script. The HTML version of these files is available as well, in case viewing the scripts without opening them in R is desired. R_sessionInfo.txt contains the R software version, as well as the versions of the packages included in the code. See the methods section for the description of the starting parameters for the nls() function., # Data for: A modified Michaelis-Menten equation estimates growth from birth to 3 years in healthy babies in the US

    https://doi.org/10.5061/dryad.4j0zpc8jf

    Description of the data and file structure

    Data for this study include, per baby: sex, age in days, and, over time, weight in Kg and height in cm. Each baby had at least 5 visits. Our goal was to fit each baby’s data to a curve as described by a modified Michaelis-Menten equation, allowing interpolation of missing weight or height values. Among the subset of all infants who had 7 well-baby visits in the first year of life, and 12 visits over 3 years, we further explored the minimum number of, and which, data points were necessary for good fit. Finally, among babies with 5 time points in year 1, and 2 in both year 2 and year 3, we examined whether weight or height data early in life could predict growth in later months.

    To meet anonymization guidelines, we are providing only STARR dat...

  18. Phylotranscriptomics for 3 monadofilosa

    • figshare.com
    zip
    Updated Feb 12, 2025
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    Guifré Torruella; Luis Javier Galindo; Purificación López‐García; David Moreira (2025). Phylotranscriptomics for 3 monadofilosa [Dataset]. http://doi.org/10.6084/m9.figshare.27074848.v1
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    zipAvailable download formats
    Dataset updated
    Feb 12, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Guifré Torruella; Luis Javier Galindo; Purificación López‐García; David Moreira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Phylotranscriptomics data for 3 monadofilosa strains (glissomonad RAM19S6, marimonadid CRO19P5, and Discocelia plataet GT001) for the paper: Discocelia plataet sp. n., a small incertae sedis cercozoan flagellate. The compressed file contains 3 folders.Transcriptomes contain the assembled transcripts for the 3 strains, the predicted peptides, and the full ribosomal operon.Phylogenomic_dataset contains the 169 protein markers, the MSA, trimmed MSA and concatenated dataset as well as the output of the Maximum Likelihood analysis.Micrographs contains 3 folders with light microscopy images of the three strains.

  19. f

    Outcomes at 3 and 12 months after stroke.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jul 17, 2015
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    von Koch, Lena; Tistad, Malin (2015). Outcomes at 3 and 12 months after stroke. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001868861
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    Dataset updated
    Jul 17, 2015
    Authors
    von Koch, Lena; Tistad, Malin
    Description

    an = 82bn = 25cn = 82dn = 25en = 77fn = 24gn = 78hinterquartile rangeOutcomes at 3 and 12 months after stroke.

  20. e

    Rodent capture data across grassland-shrubland ecotones at 3 sites in the...

    • portal.edirepository.org
    csv
    Updated Feb 21, 2020
    + more versions
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    Brandon Bestelmeyer; Robert Schooley (2020). Rodent capture data across grassland-shrubland ecotones at 3 sites in the Jornada Basin, 2004-ongoing [Dataset]. http://doi.org/10.6073/pasta/1554a8262701ccbb35be72e3c94300dd
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    csv(747308 bytes)Available download formats
    Dataset updated
    Feb 21, 2020
    Dataset provided by
    EDI
    Authors
    Brandon Bestelmeyer; Robert Schooley
    Time period covered
    Jul 13, 2004 - Oct 26, 2018
    Area covered
    Variables measured
    Rep, Sex, Tag, Date, Site, Year, Status, Weight, Comment, Habitat, and 5 more
    Description

    The objective of this ongoing study is to investigate how pulses of precipitation translate into pulses of plant aboveground net primary productivity (ANPP) and how the small mammal community responds to such changes in relation to shrub gradients in northern Chihuahuan Desert landscapes. This dataset consists of an index of relative abundance of rodents calculated as the number of unique individuals captured. The abundance measure is derived from mark-recapture data from 4 consecutive night trapping events held annually in three habitat vegetation zones (grassland, ecotone, and mesquite shrubland) at three grassland-to-shrubland ecotone sites in the Jornada Basin, Dona Ana County, New Mexico, USA. Variables include rodent species, sex, reproductive status, weight, and maturity status.

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Idaho National Laboratory (2025). Utah FORGE: Data for 3-D Model Development - Lithology, Temperature, Pressure, and Stress [Dataset]. https://catalog.data.gov/dataset/utah-forge-data-for-3-d-model-development-lithology-temperature-pressure-and-stress-51c64

Data from: Utah FORGE: Data for 3-D Model Development - Lithology, Temperature, Pressure, and Stress

Related Article
Explore at:
Dataset updated
Jan 20, 2025
Dataset provided by
Idaho National Laboratory
Description

This submission comprises two downloadable .zip archives. Each archive contains spreadsheets with 3-D data and a .txt document describing the data. The Mesh Files .zip download contains data regarding the lithologic contacts of the granitoid and overlying sedimentary basin fill. The Initial Conditions .zip download contains data regarding temperature, pressure, and stress. These data were generated during Utah FORGE Phase 2 and exported from Seequent Leapfrog Geothermal. They are intended for use in 3-D earth modeling.

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