100+ datasets found
  1. NIST Cryogenic Materials Property Database

    • catalog.data.gov
    • data.wu.ac.at
    Updated Jul 29, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Standards and Technology (2022). NIST Cryogenic Materials Property Database [Dataset]. https://catalog.data.gov/dataset/nist-cryogenic-materials-property-database-05f3c
    Explore at:
    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    This database contains cryogenic material property data.

  2. NIST Heat Transmission Properties of Insulating and Building Materials...

    • catalog.data.gov
    • data.nist.gov
    Updated Mar 12, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Standards and Technology (2024). NIST Heat Transmission Properties of Insulating and Building Materials Database - SRD 81 [Dataset]. https://catalog.data.gov/dataset/nist-heat-transmission-properties-of-insulating-and-building-materials-database-srd-81-8c621
    Explore at:
    Dataset updated
    Mar 12, 2024
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    NIST has accumulated a valuable and comprehensive collection of thermal conductivity data from measurements performed with a 200-mm square guarded-hot-plate apparatus. The guarded-hot-plate test method is arguably the most accurate and popular method for determination of thermal transmission properties of flat, homogeneous specimens under steady state conditions. Several organizations, including ASTM and ISO, have standardized the method. Version 1.0 of the database includes data for over 2000 measurements, covering several categories of materials including concrete, fiberboard, plastics, thermal insulation, and rubber. The data cover a temperature range corresponding to most building applications; however, the majority of the measurements were conducted at 24° C (75° F). Web version 1.0

  3. f

    Data from: A Database of Stress-Strain Properties Auto-generated from the...

    • figshare.com
    zip
    Updated Aug 22, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Pankaj Kumar; Saurabh Kabra; Jacqueline Cole (2024). A Database of Stress-Strain Properties Auto-generated from the Scientific Literature using ChemDataExtractor [Dataset]. http://doi.org/10.6084/m9.figshare.25881025.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 22, 2024
    Dataset provided by
    figshare
    Authors
    Pankaj Kumar; Saurabh Kabra; Jacqueline Cole
    License

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

    Description

    This is a companion repository for a paper published in Scientific Data with the title and authors given above, whose abstract is below:There has been an ongoing need for information-rich databases in the mechanical-engineering domain to aid in data-driven materials science. To address the lack of suitable property databases, this study employs the latest version of the chemistry-aware natural-language-processing (NLP) toolkit, ChemDataExtractor, to automatically curate a comprehensive materials database of key stress-strain properties. The database contains information about materials and their cognate properties: ultimate tensile strength, yield strength, fracture strength, Young’s modulus, and ductility values. 720,308 data records were extracted from the scientific literature and organized into machine-readable databases formats. The extracted data have an overall precision, recall and F-score of 82.03%, 92.13% and 86.79%, respectively. The resulting database has been made publicly available, aiming to facilitate data-driven research and accelerate advancements within the mechanical-engineering domain.

  4. f

    ValidationData

    • aip.figshare.com
    • zenodo.org
    zip
    Updated Mar 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chinedu Ekuma (2025). ValidationData [Dataset]. http://doi.org/10.60893/figshare.aml.28560635.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    AIP Publishing
    Authors
    Chinedu Ekuma
    License

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

    Description

    Validation dataset

  5. m

    TIM (Thermal insulating materials)

    • data.mendeley.com
    Updated Mar 24, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Atul Atul (2021). TIM (Thermal insulating materials) [Dataset]. http://doi.org/10.17632/364fchkrbv.1
    Explore at:
    Dataset updated
    Mar 24, 2021
    Authors
    Atul Atul
    License

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

    Description

    An electronic database such as Scopus using the keywords and literature searched from 1970 to 2021. Four thousand five hundred articles were screen and refined the existing/related article through different filters as per exclusion.

  6. Minor Actinide Property Database (MADB)

    • data.iaea.org
    csv
    Updated Jul 2, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The International Atomic Energy Agency (2024). Minor Actinide Property Database (MADB) [Dataset]. https://data.iaea.org/dataset/minor-actinide-property-database-madb
    Explore at:
    csv(107015)Available download formats
    Dataset updated
    Jul 2, 2024
    Dataset provided by
    International Atomic Energy Agencyhttp://iaea.org/
    License

    https://www.iaea.org/about/terms-of-usehttps://www.iaea.org/about/terms-of-use

    Description

    MADB is a bibliographic database on physico-chemical properties of selected Minor Actinide compounds and alloys. The materials and properties are selected based on their importance in the advanced nuclear fuel cycle options. This list is updated up to 2008.

  7. f

    Mechanical performance dataset for alloy with applications at low...

    • figshare.com
    txt
    Updated May 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Haoxuan Tang; Zhiping Xu (2025). Mechanical performance dataset for alloy with applications at low temperatures [Dataset]. http://doi.org/10.6084/m9.figshare.25912267.v9
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 1, 2025
    Dataset provided by
    figshare
    Authors
    Haoxuan Tang; Zhiping Xu
    License

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

    Description

    Low-temperature alloys are important for a wide spectrum of modern technologies ranging from liquid hydrogen, superconductivity to the quantum technology. These applications push the limit of material performance into extreme coldness, often demanding a combination of strength and toughness to address various challenges.Steel is one of the most widely used materials in cryogenic applications. With the deployment in aerospace liquid hydrogen storage and transportation, aluminum and titanium alloys are also gaining increasing attention. Emerging medium-entropy alloys (MEAs) and high-entropy alloys (HEAs) demonstrate excellent low-temperature mechanical performance with a much-expanded space of material design. A database of low-temperature metallic alloys is reported here by collecting the literature data published from 1991 to 2023, which is hosted in an open repository. The workflow of data collection includes automated extraction based on machine learning and natural language processing, supplemented by manual inspection and correction, to enhance data extraction efficiency and database quality. The product datasets cover key performance parameters including yield strength, tensile strength, elongation at fracture, Charpy impact energy, as well as detailed information on materials such as their types, chemical compositions, processing and testing conditions. Data statistics are analyzed to elucidate the research and development patterns and clarify the challenges in both scientific exploration and engineering deployment.

  8. Material Property Database of Organic Liquids, Ices, and Hazes on Titan

    • zenodo.org
    Updated Jun 23, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Xinting Yu; Xinting Yu; Yu Yue; Julia Garver; Jialin Li; Jialin Li; Abigale Hawthorn; Ella Sciamma-O'Brien; Ella Sciamma-O'Brien; Xi Zhang; Xi Zhang; Erika Barth; Erika Barth; Yu Yue; Julia Garver; Abigale Hawthorn (2023). Material Property Database of Organic Liquids, Ices, and Hazes on Titan [Dataset]. http://doi.org/10.5281/zenodo.7539342
    Explore at:
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Xinting Yu; Xinting Yu; Yu Yue; Julia Garver; Jialin Li; Jialin Li; Abigale Hawthorn; Ella Sciamma-O'Brien; Ella Sciamma-O'Brien; Xi Zhang; Xi Zhang; Erika Barth; Erika Barth; Yu Yue; Julia Garver; Abigale Hawthorn
    License

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

    Description

    Titan has a diverse range of materials in its atmosphere and on its surface: the simple organics that reside in various phases (gas, liquid, ice) and the solid complex refractory organics that form Titan's haze layers. These materials all actively participate in various physical processes on Titan, and many material properties are found to be important in shaping these processes. Future in-situ exploration on Titan would likely encounter a range of materials, and a comprehensive database to archive the material properties of all possible material candidates will be needed.

    Here we archive several important material properties of the organic liquids, ices, and the refractory hazes on Titan that are available in the literature and/or that we have computed. These properties include thermodynamic properties (phase change points, sublimation and vaporization saturation vapor pressure, and latent heat), physical property (density), and surface properties (liquid surface tensions and solid surface energies).

    We have archived all the data involved in our first paper (https://arxiv.org/abs/2210.01394 for the Arxiv version and https://doi.org/10.3847/1538-4365/acc6cf for the publisher version) here to make them available to the science community. These data can be used as inputs for various theoretical models to interpret current and future remote sensing and in-situ atmospheric and surface measurements on Titan. The material properties of the simple organics may also be applicable to giant planets and icy bodies in the outer solar system, interstellar medium, and protoplanetary disks.

    The "Summary of Data Tables and Jupyter Notebook Files" summarizes the names of all the data files (.csv) and Jupyter Notebook files (.ipynb) and their corresponding Tables in the paper.

    Please cite our paper in your use of the data: Yu et al. (2023), https://doi.org/10.3847/1538-4365/acc6cf

    Yu, X., Yu, Y., Garver, J., Li, J., Hawthorn, A., Sciamma-O’Brien, E., ... & Barth, E. (2023). Material Properties of Organic Liquids, Ices, and Hazes on Titan. The Astrophysical Journal Supplement Series, 266(2), 30.

  9. n

    Original dataset for ID 39 Re in Thermophysical Property Database

    • mdr.nims.go.jp
    png, txt, zip
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute for Materials Science, Original dataset for ID 39 Re in Thermophysical Property Database [Dataset]. http://doi.org/10.48505/nims.4003
    Explore at:
    zip, txt, pngAvailable download formats
    Dataset provided by
    National Institute for Materials Science
    Description

    This is the original dataset for ID 39 Re in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/39). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.

  10. P

    OQMD v1.2 Dataset

    • paperswithcode.com
    Updated Aug 10, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Takenori Yamamoto (2022). OQMD v1.2 Dataset [Dataset]. https://paperswithcode.com/dataset/oqmd-v1-2
    Explore at:
    Dataset updated
    Aug 10, 2022
    Authors
    Takenori Yamamoto
    Description

    The OQMD is a database of DFT calculated thermodynamic and structural properties of one million materials, created in Chris Wolverton's group at Northwestern University.

    The OQMD v1.2 dataset for CGNN is downloadable from this link, which contains 561,888 materials. Its format is described in here. The original data is available at the OQMD website.

  11. Materials Project Data

    • figshare.com
    txt
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Anubhav Jain; Shyue Ping Ong; Geoffroy Hautier; Wei Chen; William Davidson Richards; Stephen Dacek; Shreyas Cholia; Dan Gunter; David Skinner; Gerbrand Ceder; Kristin Persson; Hacking Materials (2023). Materials Project Data [Dataset]. http://doi.org/10.6084/m9.figshare.7227749.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Anubhav Jain; Shyue Ping Ong; Geoffroy Hautier; Wei Chen; William Davidson Richards; Stephen Dacek; Shreyas Cholia; Dan Gunter; David Skinner; Gerbrand Ceder; Kristin Persson; Hacking Materials
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    A complete copy of the Materials Project database as of 10/18/2018. Mp_all files contain structure data for each material while mp_nostruct does not.Available as Monty Encoder encoded JSON and as CSV. Recommended access method for these particular files is with the matminer Python package using the datasets module. Access to the current Materials Project is recommended through their API (good), pymatgen (better), or matminer (best).Note on citations: If you found this dataset useful and would like to cite it in your work, please be sure to cite its original sources below rather than or in addition to this page.Dataset discussed in:A. Jain*, S.P. Ong*, G. Hautier, W. Chen, W.D. Richards, S. Dacek, S. Cholia, D. Gunter, D. Skinner, G. Ceder, K.A. Persson (*=equal contributions) The Materials Project: A materials genome approach to accelerating materials innovation APL Materials, 2013, 1(1), 011002.Dataset sourced from:https://materialsproject.org/Citations for specific material properties available here:https://materialsproject.org/citing

  12. c

    REMD Materials Property Query Engine

    • c23.cabc.top
    Updated Jun 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). REMD Materials Property Query Engine [Dataset]. http://c23.cabc.top:8005/api/search
    Explore at:
    Dataset updated
    Jun 7, 2025
    License

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

    Description

    Search, select and download REMD materials data with RESTful API backed search-form which supports both simple and complex logical queries

  13. S

    Fundamental Database of Rare earths and Sm-Co Compounds

    • scidb.cn
    Updated May 11, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    宋晓艳; 刘雪梅; 王海滨; 卢年端; 张哲旭; 闫相全; 梁海宁; 李定朋; 邓韵文 (2016). Fundamental Database of Rare earths and Sm-Co Compounds [Dataset]. http://doi.org/10.11922/sciencedb.86
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 11, 2016
    Dataset provided by
    Science Data Bank
    Authors
    宋晓艳; 刘雪梅; 王海滨; 卢年端; 张哲旭; 闫相全; 梁海宁; 李定朋; 邓韵文
    License

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

    Area covered
    Earth
    Description

    Due to their peculiar physical and chemical properties, the rare-earth elements and compounds have very wide applications, including industrial fields such as aeronautics and astronautics, energy resources, electronics, automobiles, architectures, petrochemical engineering and so on. In the past decade, based on the systematic experiments and repeated experiments, by processes of data accumulation, comparison and evaluation, we have developed the rare-earths database of crystal structures and properties, where for the first time the nanoscale effect on the data was introduced. Further, the database of the Sm-Co compounds has been developed. Both the databases have conventional polycrystalline and nanocrystalline systems for the data search, and the later contains data systems at the room temperature and with the varying temperature. Data of crystal structure, physical properties, magnetic features, mechanical properties, thermodynamic properties, phase stability and phase transformation characteristics, are contained in the database. The database provides the fundamental data for the rare-earth materials, and facilitates the design and development of new type rare-earth materials by serving as the references and quantitative guide. The database relates to 17 rare earth elements, and 9 rare earth compounds, including Crystal structure, physical properties, mechanical properties, magnetic properties, thermodynamic properties and phase stability, phase-change characteristics of 7 major categories of data.

  14. n

    Original dataset for ID 80 Re in Thermophysical Property Database

    • mdr.nims.go.jp
    png, txt, zip
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute for Materials Science, Original dataset for ID 80 Re in Thermophysical Property Database [Dataset]. http://doi.org/10.48505/nims.4044
    Explore at:
    zip, txt, pngAvailable download formats
    Dataset provided by
    National Institute for Materials Science
    Description

    This is the original dataset for ID 80 Re in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/80). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.

  15. NIST High Temperature Superconducting (HTS) Materials Database - SRD 62

    • catalog.data.gov
    • data.nist.gov
    Updated Jul 29, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Standards and Technology (2022). NIST High Temperature Superconducting (HTS) Materials Database - SRD 62 [Dataset]. https://catalog.data.gov/dataset/nist-high-temperature-superconducting-hts-materials-database-srd-62-6fba6
    Explore at:
    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    The NIST WWW High Temperature Superconductors database (WebHTS) provides evaluated thermal, mechanical, and superconducting property data for oxide superconductors. The range of materials covers the major series of compounds derived from the Y-Ba-Cu-O, Bi-Sr-Ca-Cu-O, Tl-Sr-Ca-Cu-O, and La-Cu-O chemical families, along with numerous other variants of the cuprate and bismuthate materials that are known to have superconducting phases. The materials are described by specification and characterization information that includes processing details and chemical compositions. Physical characteristics such as density and crystal structure are given in numeric tables. All measured values are evaluated and supported by descriptions of the measurement methods, procedures, and conditions. In all cases, the sources of the data are fully documented in a comprehensive bibliography.

  16. Data from: A database of battery materials auto-generated using...

    • figshare.com
    Updated Jul 13, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shu Huang; Jacqueline Cole (2020). A database of battery materials auto-generated using ChemDataExtractor [Dataset]. http://doi.org/10.6084/m9.figshare.11888115.v2
    Explore at:
    application/x-dosexecAvailable download formats
    Dataset updated
    Jul 13, 2020
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Shu Huang; Jacqueline Cole
    License

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

    Description

    Battery materials database comprising chemical and property data whereby there are up to five properties per chemical: capacity, conductivity, voltage, energy Coulombic efficiency.The data are given in the .zip file.The data extraction code used to generate them are given in the batterydatabaseextractioncode .zip file.The Battery Database GUI Installer is given as an executable.

  17. NIST Structural Ceramics Database - SRD 30

    • catalog.data.gov
    • data.nist.gov
    • +1more
    Updated Jul 29, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Standards and Technology (2022). NIST Structural Ceramics Database - SRD 30 [Dataset]. https://catalog.data.gov/dataset/nist-structural-ceramics-database-srd-30-f1dca
    Explore at:
    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    The NIST WWW Structural Ceramics Database (WebSCD) provides evaluated materials property data for a wide range of advanced ceramics known variously as structural ceramics, engineering ceramics, and fine ceramics. These materials tend to have low mass densities and high strengths and tend to be resistant to corrosion. These characteristics form the basis for applications of these materials in high-temperature, energy-efficient heat exchangers, advanced engine designs, bearings, wear resistant parts, and stable electronic substrates and electronic packaging. The range of materials covers the major series of compounds derived from the ceramic oxide, carbide, nitride, boride, and oxynitride chemical families. The materials are described by specification and characterization information that includes processing details and chemical compositions. Physical characteristics such as density and crystal structure are given in numeric tables. All measured values are evaluated and supported by descriptions of the measurement methods, procedures, and conditions. In all cases, the sources of the data are fully documented in a detailed bibliography.

  18. NIST Inorganic Crystal Structure Database (ICSD)

    • catalog.data.gov
    • data.nist.gov
    Updated Jul 29, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute of Standards and Technology (2022). NIST Inorganic Crystal Structure Database (ICSD) [Dataset]. https://catalog.data.gov/dataset/nist-inorganic-crystal-structure-database-icsd-6997c
    Explore at:
    Dataset updated
    Jul 29, 2022
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    Materials discovery and development necessarily begins with the preparation and identification of product phase(s). Crystalline compounds can be identified by their characteristic diffraction patterns using X-rays, neutrons, and or electrons. An estimated 20,000 X-ray diffractometers and a comparable number of electron microscopes are used daily in materials research and development laboratories for this purpose. Access to crystal structure data is a critical step in solving research and applications problems in materials researches, and these data are of interest to analysts in areas such as materials design, property prediction and compound identification. NIST Crystallographic Data Center, in collaboration with partners all over the world, evaluates and disseminates chemical, physical and crystallographic information published on these materials. NIST Standard Reference Database 3: NIST Inorganic Crystal Structure Database (NIST ICSD) is a comprehensive collection of crystal structure data of nonorganic compounds (including inorganics, ceramics, minerals, pure elements, metals, and intermetallic systems) containing over 210,000 entries and covering the literature from 1913. NIST ICSD includes entries that fall into the following categories: full structure data from experimental refinement or derived from their iso-structural structure types, theoretically predicted structures from computer simulations, as well as partially characterized structures. The NIST ICSD web application provides materials researchers with a user-friendly interface to search the database based on bibliographic information, chemistry, unit cell, space group, experimental settings, mineral name/group and other derived data from expert evaluation. In addition, it also provides users with functions to easily create and examine results from various crystallographic computations, such as reduced cell, bond distance/angle, calculated powder diffraction data, and structure standardization.

  19. m

    Property Database

    • gis.data.mass.gov
    • hub.arcgis.com
    Updated Nov 3, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Cambridge (2020). Property Database [Dataset]. https://gis.data.mass.gov/datasets/CambridgeGIS::property-database/about
    Explore at:
    Dataset updated
    Nov 3, 2020
    Dataset authored and provided by
    City of Cambridge
    Description

    Extract of Cambridge Assessing Department on-line property database file for the most recently released fiscal year. Contains residential, condo, commercial and exempt data. Please refer to Cambridge's property database website for official assessment data: https://www.cambridgema.gov/propertydatabaseThis Feature Service will be updated annually with the latest fiscal year's data.The following fields are contained in the property database table.Field NameDescriptionPIDInternal Unique Parcel IDGISIDLink to ML in GIS Parcels layerBldgNumBuilding Number on ParcelAddressParcel AddressUnitUnit NumberStateClassCodeState Classification CodePropertyClassClassification Code descriptionZoningZoning (Unofficial)Map/LotAssessor's Map and Lot IDLandAreaLand area in square feetYearOfAssessmentFiscal Year of Assessment for this recordTaxDistrictDistrict for valuation groupingResidentialExemptionReceiving Residential exemption for fiscal yearBuildingValueAssessed value of building improvements on the parcelLandValueAssessed value of land on the parcelAssessedValueTotal assessed valueSalePricePrice listed for last deed transfer for the parcelBook/PageBook and Page number from the registry of deeds for last deed transactionSaleDateDate of last deed transactionPreviousAssessedValueTotal assessed value for the prior fiscal yearOwner_NameName of owner of record for the date of assessmentOwner_CoOwnerNameName of co-owner of record for the date of assessmentOwner_AddressAddress of owner of record for the date of assessmentOwner_Address2Second line of address of owner of record for the date of assessmentOwner_CityCity of owner of record for the date of assessmentOwner_StateState of owner of record for the date of assessmentOwner_ZipZip code of owner of record for the date of assessmentExterior_StyleBuilding style descriptionExterior_occupancyBuilding occupany, or use, type descriptionExterior_NumStoriesNumber of stories for the buildingExterior_WallTypeExterior wall material descriptionExterior_WallHeightAverage height of floors in a commercial or apartment buildingExterior_RoofTypeRoof structure descriptionExterior_RoofMaterialRoof material descriptionExterior_FloorLocationFloor level for condominium unitsExterior_ViewView quality rating for condominiumsInterior_LivingAreaFinished area of buildingInterior_NumUnitsNumber of units in a commercial or apartment buildingInterior_TotalRoomsTotal number of rooms in a condominium or residential buildingInterior_BedroomsTotal number of bedrooms in a condominium or residetential buildingInterior_KitchensKitchen description in condominium unitInterior_FullBathsCount of full bathrooms in a condominium unit or residential buildingInterior_HalfBathsCount of half bathrooms in a condominium unit or residential buildingInterior_FireplacesCount of fireplaces in residential buildingsInterior_FlooringDescription of primary floor cover materialInterior_LayoutLayout description for condominium unitInterior_LaundryInUnitYes or No flag for in unit laundry for condominiumSystems_HeatTypeHeat system type descriptionSystems_HeatFuelHeat fuel type descriptionSystems_CentralAirCentral air conditioning system indicatorSystems_PlumbingRating of plumbing system for commercial buildingCondition_YearBuiltActual year built of buildingCondition_InteriorConditionDescription of interior condition of residential buildingCondition_OverallConditionDescription of overall condition of buildingCondition_OverallGradeDescription of overall grade of buildingParking_OpenNumber of open parking spaces for residential building or condominium unitParking_CoveredNumber of covered parking spaces for residential building or condominium unitParking_GarageNumber of garage parking spaces for residential building or condominium unitUnfinishedBasementGrossUnfinished basement areaFinishedBasementGrossFinished basement area

  20. n

    Original dataset for ID 57 La in Thermophysical Property Database

    • mdr.nims.go.jp
    png, txt, zip
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Institute for Materials Science, Original dataset for ID 57 La in Thermophysical Property Database [Dataset]. http://doi.org/10.48505/nims.4021
    Explore at:
    zip, png, txtAvailable download formats
    Dataset provided by
    National Institute for Materials Science
    Description

    This is the original dataset for ID 57 La in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/57). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
National Institute of Standards and Technology (2022). NIST Cryogenic Materials Property Database [Dataset]. https://catalog.data.gov/dataset/nist-cryogenic-materials-property-database-05f3c
Organization logo

NIST Cryogenic Materials Property Database

Explore at:
12 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 29, 2022
Dataset provided by
National Institute of Standards and Technologyhttp://www.nist.gov/
Description

This database contains cryogenic material property data.

Search
Clear search
Close search
Google apps
Main menu