cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15006819
title: TMY files for Norway based on CERRA data from 1991-2020

description: This dataset includes TMY files for all municipalities in Norway, produced in conjunction with the Norwegian standard NS 3031:2025 Energy performance of buildings Calculation of energy and power demand. The files are based on CERRA data from 1991-2020, and produces using a TMY3 type methodology, where the FS weighing is skewed towards temperatures during the winter months (October to March).  The files represents a statistically typical year meant for energy calculations of buildings, and are therefore not suited for evaluating extreme conditions.

The repository contains:



EPW-files - zipped collection of .epw-files



The most common file format for climate data for energy simulations applicable to most programs



CSV-Files - zipped collections of .csv files 



Climate data on comma separated format as well as Excel for easy access

This format includes all the neccesary data for energy calculations, but less data than the EPW files. 

File headers are in Norwegian



NetCDF-files - a zipped collections of .nc files 



one for each location



Datasheets - a pdf file of datasheets as well as a zip files of individual data 



A collection of datasheets containing a comparison of TMYs with the data source as well as referance data

The datasheets contain Norwegian text



Overview of Error metrics - ZIP files containing plots of error metrics  



Error metrics mapped to a map of Norway, for visualization purposes



Changelog - a txt file



a overview of changes in the dataset since 1.0




The contents of the repository is produced by The Norwegian Meteorological Office (MET) and The Norwegian University og Life Science (NMBU), Department of Building- and Environmental Technology.

The funding for the project was provided in equal parts by Norwegian Building Authority (Direktoratet for byggkvalitet), ENOVA and the Norwegian Water Resources and Energy Directorate (NVE).

The data is provided 'as is', without warranty of any kind, express or implied. In no event shall the authors be liable for any claim, damages or other liability.
DOI: 10.5281/zenodo.15041618
title: TMY files for Norway based on CERRA data from 1991-2020

description: This dataset includes TMY files for all municipalities in Norway, produced in conjunction with the Norwegian standard NS 3031:2025 Energy performance of buildings Calculation of energy and power demand. The files are based on CERRA data from 1991-2020, and produces using a TMY3 type methodology, where the FS weighing is skewed towards temperatures during the winter months (October to March).  The files represents a statistically typical year meant for energy calculations of buildings, and are therefore not suited for evaluating extreme conditions.

The repository contains:



EPW-files - zipped collection of .epw-files



The most common file format for climate data for energy simulations applicable to most programs



CSV-Files - zipped collections of .csv files 



Climate data on comma separated format as well as Excel for easy access

This format includes all the neccesary data for energy calculations, but less data than the EPW files. 

File headers are in Norwegian



NetCDF-files - a zipped collections of .nc files 



one for each location



Datasheets - a pdf file of datasheets as well as a zip files of individual data 



A collection of datasheets containing a comparison of TMYs with the data source as well as referance data

The datasheets contain Norwegian text



Overview of Error metrics - ZIP files containing plots of error metrics  



Error metrics mapped to a map of Norway, for visualization purposes



Changelog - a txt file



a overview of changes in the dataset since 1.0




The contents of the repository is produced by The Norwegian Meteorological Office (MET) and The Norwegian University og Life Science (NMBU), Department of Building- and Environmental Technology.

The funding for the project was provided in equal parts by Norwegian Building Authority (Direktoratet for byggkvalitet), ENOVA and the Norwegian Water Resources and Energy Directorate (NVE).

The data is provided 'as is', without warranty of any kind, express or implied. In no event shall the authors be liable for any claim, damages or other liability.
DOI: 10.5281/zenodo.15089003
title: TMY files for Norway based on CERRA data from 1991-2020

description: This dataset includes TMY files for all municipalities in Norway, produced in conjunction with the Norwegian standard NS 3031:2025 Energy performance of buildings Calculation of energy and power demand. The files are based on CERRA data from 1991-2020, and produces using a TMY3 type methodology, where the FS weighing is skewed towards temperatures during the winter months (October to March).  The files represents a statistically typical year meant for energy calculations of buildings, and are therefore not suited for evaluating extreme conditions.

The repository contains:



EPW-files - zipped collection of .epw-files



The most common file format for climate data for energy simulations applicable to most programs



CSV-Files - zipped collections of .csv files 



Climate data on comma separated format as well as Excel for easy access

This format includes all the neccesary data for energy calculations, but less data than the EPW files. 

File headers are in Norwegian



NetCDF-files - a zipped collections of .nc files 



one for each location



Datasheets - a zip files of individual datasheets 



A collection of datasheets containing a comparison of TMYs with the data source as well as referance data

The datasheets contain Norwegian text



Overview of Error metrics - ZIP files containing plots of error metrics  



Error metrics mapped to a map of Norway, for visualization purposes



Changelog - a txt file



a overview of changes in the dataset since 1.0




The contents of the repository is produced by The Norwegian Meteorological Office (MET) and The Norwegian University og Life Science (NMBU), Department of Building- and Environmental Technology.

The funding for the project was provided in equal parts by Norwegian Building Authority (Direktoratet for byggkvalitet), ENOVA and the Norwegian Water Resources and Energy Directorate (NVE).

The data is provided 'as is', without warranty of any kind, express or implied. In no event shall the authors be liable for any claim, damages or other liability.
DOI: 10.5281/zenodo.15096452
title: TMY files for Norway based on CERRA data from 1991-2020

description: This dataset includes TMY files for all municipalities in Norway, produced in conjunction with the Norwegian standard NS 3031:2025 Energy performance of buildings Calculation of energy and power demand. The files are based on CERRA data from 1991-2020, and produces using a TMY3 type methodology, where the FS weighing is skewed towards temperatures during the winter months (October to March).  The files represents a statistically typical year meant for energy calculations of buildings, and are therefore not suited for evaluating extreme conditions.

The repository contains:



EPW-files - zipped collection of .epw-files



The most common file format for climate data for energy simulations applicable to most programs



CSV-Files - zipped collections of .csv files 



Climate data on comma separated format as well as Excel for easy access

This format includes all the neccesary data for energy calculations, but less data than the EPW files. 

File headers are in Norwegian



NetCDF-files - a zipped collections of .nc files 



one for each location



Datasheets - a zip files of individual datasheets 



A collection of datasheets containing a comparison of TMYs with the data source as well as referance data

The datasheets contain Norwegian text



Overview of Error metrics - ZIP files containing plots of error metrics  



Error metrics mapped to a map of Norway, for visualization purposes



Changelog - a txt file



a overview of changes in the dataset since 1.0




The contents of the repository is produced by The Norwegian Meteorological Office (MET) and The Norwegian University og Life Science (NMBU), Department of Building- and Environmental Technology.

The funding for the project was provided in equal parts by Norwegian Building Authority (Direktoratet for byggkvalitet), ENOVA and the Norwegian Water Resources and Energy Directorate (NVE).

The data is provided 'as is', without warranty of any kind, express or implied. In no event shall the authors be liable for any claim, damages or other liability.
DOI: 10.15468/dl.3d6gyk
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Kinosternon oaxacae Berry & Iverson, 1980"
 ]
}

 The dataset includes 112 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003887-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/d5nr-0r73
title: Course Rating

description: This dataset comprises a comprehensive collection of educational courses, each characterized by several key attributes: interests, title, description, category, level, past experience, and rating. The courses span a wide range of subjects, including programming (e.g., Python, Java, C++), data science (e.g., Big Data, Data Mining), mathematics (e.g., Calculus, Algebra), physics (e.g., Mechanics, Thermodynamics), chemistry (e.g., Organic Chemistry, Inorganic Chemistry), literature (e.g., World Literature, Drama), history (e.g., Ancient History, World Wars), and machine learning (e.g., Deep Learning, Natural Language Processing).Each course is tailored to different proficiency levels (beginner, intermediate, advanced) and requires varying levels of past experience (none, basic, intermediate, advanced). The courses are rated on a scale from 1 to 5, with the majority receiving the highest rating of 5. The dataset also includes language specifications (e.g., English, Hindi) for many courses, indicating the medium of instruction.This dataset is valuable for analyzing trends in educational offerings, identifying gaps in course availability, and understanding the distribution of courses across different fields and difficulty levels. It can also support the development of personalized learning recommendations based on user interests, experience, and preferred language.
DOI: 10.5281/zenodo.15092846
title: Tensile and Electrical Measurement Data for Improving the Mechanical and Electrical Properties of PES Resin EG Composites

description: Electrical and tensile measurements for PES resin composites containing expanded graphite (EG), ultrasonicated EG, and vacuum processed EG. Under electrical measurements, a correction was made in the respective article where in the vacEG sheet, xuEG was corrected to vacEG on the graph x-axis.
DOI: 10.15468/dl.vndqtc
title: Occurrence Download

description: A dataset containing 22147115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Passer domesticus (Linnaeus, 1758)"
 ]
}

 The dataset includes 22147115 records from 5200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003868-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etevyc
title: Occurrence Download

description: A dataset containing 87184 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Malus domestica (Suckow) Borkh."
 ]
}

 The dataset includes 87184 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014661-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uc3txw
title: Occurrence Download

description: A dataset containing 1623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dryas integrifolia Vahl",
 "Year 1970-2021"
 ]
}

 The dataset includes 1623 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271964-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfr4fy
title: Occurrence Download

description: A dataset containing 26212 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pandanus Parkinson"
 ]
}

 The dataset includes 26212 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224797-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jo9ckz
title: Occurrence Download

description: A dataset containing 690 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysocyon brachyurus (Illiger, 1815)"
 ]
}

 The dataset includes 690 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014661-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxt0rx
title: Occurrence Download

description: A dataset containing 137931 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fulmarus glacialis (Linnaeus, 1761)"
 ]
}

 The dataset includes 137931 records from 262 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002233-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hne2ef
title: Occurrence Download

description: A dataset containing 2066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Earliella scabrosa (Pers.) Gilb. & Ryvarden"
 ]
}

 The dataset includes 2066 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224793-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.saopu6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Aplastodiscus musicus (Lutz, 1949)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014662-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ua2jx
title: Occurrence Download

description: A dataset containing 5172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salix arctica Pall.",
 "Year 1970-2021"
 ]
}

 The dataset includes 5172 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271962-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h0trla
title: Occurrence Download

description: A dataset containing 668 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Malope malacoides L.",
 "TaxonKey is Malope trifida Cav.",
 "TaxonKey is Malpighia coccigera L.",
 "TaxonKey is Malpighia emarginata DC."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 668 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014663-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xqn74
title: Occurrence Download

description: A dataset containing 1520 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Borreria latifolia (Aubl.) K.Schum."
 ]
}

 The dataset includes 1520 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0213104-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cugtk4
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caesio varilineata Carpenter, 1987)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 228 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049957-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3nwwb
title: Occurrence Download

description: A dataset containing 861 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boana xerophylla (Duméril & Bibron, 1841)"
 ]
}

 The dataset includes 861 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011205-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssnb47
title: Occurrence Download

description: A dataset listing the 3317175 species recorded in GBIF matching the query:
{ }

 The dataset's 3317175 records were derived from 33488 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196941-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17296305
title: Input Data for TCKF1D-Var framework

description: Input Data for TCKF1D-Var framework
DOI: 10.5281/zenodo.17296306
title: Input Data for TCKF1D-Var framework

description: Input Data for TCKF1D-Var framework
DOI: 10.15468/dl.xk89d4
title: Occurrence Download

description: A dataset containing 42713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Accipitriformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-60 30,-30 30,-30 60,-60 60,-60 30))"
 ]
}

 The dataset includes 42713 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061749-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cwjvz
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crepis hakkarica Lamond"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013728-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzgqex
title: Occurrence Download

description: A dataset containing 1867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-100.1237 19.09437,-99.28545 19.09437,-99.28545 19.55833,-100.1237 19.55833,-100.1237 19.09437))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "TaxonKey is Reptilia",
 "TaxonKey is Amphibia"
 ]
 },
 "Year 1991-2021"
 ]
}

 The dataset includes 1867 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001449-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnrkub
title: Occurrence Download

description: A dataset containing 7579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porpidia crustulata (Ach.) Hertel & Knoph",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 7579 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037449-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72rgwc
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((32.341 45.46967,32.23114 45.28839,32.40143 45.13458,32.54974 44.94232,33.20892 44.18427,34.04938 44.16229,35.23041 44.42596,36.51581 44.95331,36.49384 45.10162,36.53778 45.26093,36.65314 45.35431,36.63116 45.42023,36.53778 45.55206,36.34552 45.56305,36.01044 45.54657,35.7962 45.48615,35.16998 45.58502,35.02167 45.79926,34.80743 45.93109,34.62616 45.99701,34.48883 46.01349,34.29108 46.01349,34.08783 46.04095,33.76923 46.1673,33.65387 46.0849,33.48358 45.95306,32.92877 45.78827,32.341 45.46967))",
 {
 "or" : [
 "VerbatimScientificName is Ardeola ralloides",
 "VerbatimScientificName is Microcarbo pygmaeus",
 "VerbatimScientificName is Phalacrocorax aristotelis",
 "VerbatimScientificName is Pelecanus crispus",
 "VerbatimScientificName is Pelecanus onocrotalus",
 "VerbatimScientificName is Vipera renardi",
 "VerbatimScientificName is Zamenis situla",
 "VerbatimScientificName is Elaphe sauromates",
 "VerbatimScientificName is Dolichophis caspius",
 "VerbatimScientificName is Coronella austriaca",
 "VerbatimScientificName is Lacerta agilis",
 "VerbatimScientificName is Eremias arguta",
 "VerbatimScientificName is Pseudopus apodus",
 "VerbatimScientificName is Mediodactylus kotschyi",
 "VerbatimScientificName is Emys orbicularis",
 "VerbatimScientificName is Hyla orientalis",
 "VerbatimScientificName is Triturus karelinii",
 "VerbatimScientificName is Barbus tauricus",
 "VerbatimScientificName is Alburnus mentoides",
 "VerbatimScientificName is Ponticola kessleri"
 ]
 }
 ]
}

 The dataset includes 311 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143740-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxznjv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria staneriana Baker f."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013720-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wskiml
title: Occurrence Download

description: A dataset containing 3902 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The First Comprehensive Description of the Biodiversity and Biogeography of Antarctic and Sub-Antarctic Intertidal Communities"
 ]
}

 The dataset includes 3902 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037455-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.