cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ea5fr5
title: Occurrence Download

description: A dataset containing 44324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is TWN.7_1",
 "TaxonKey is Ardea alba Linnaeus, 1758",
 "Year 2015-2023"
 ]
}

 The dataset includes 44324 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070627-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xh3e2k
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis anadyrensis Soczava)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 144 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070497-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72h4jz
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mertensia davurica (Sims) G.Don"
 ]
}

 The dataset includes 223 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038563-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11598280
title: Peregrino di Zanetto Michelis (m2695)

description: -- Documentation --Name: Peregrino di Zanetto MichelismusiXplora-ID: m2695musiXplora-URI: https://musixplora.de/mxp/m2695Gender: mDate of Birth: 1522Place of Birth: UndefinedDate of Death: 1615Place of Death: UndefinedFirst Mentioned: 1547Sectors: Geigenbau, ZupfinstrumentenbauProfessions (Historical): Magister a violinis, Magistro de instrumenti de sonar, Magistro di cittere et lireProfessions (Musical): Geigenbauer, Harfenbauer, LautenmacherMain Place of Activity: BresciaPortfolio:
GroupRoleNamemXp-IDSortimenteSortimentHarfe2001474SortimenteSortimentGambe2001529SortimenteSortimentLyra2001612SortimenteSortimentVioloncello2001634Titel/Medien:
RoleSigelTitlemXp-IDRelatedLütgendorff 1922Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. 2 Bände. Lüt25002059RelatedLütgendorff 1990Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. Teil 3: Ergänzungsband. Erstellt von Thomas Drescher. Lüt35002060RelatedFricke 2022aMusikinstrumenten-Museum Berlin 1923–1945. Die Rekonstruktion einer unbekannten Sammlung und ihre Verluste. . Erschienen als Enhanced Publication. LM-enc Band 1. Schriftenreihe der Forschungsstelle DIGITAL ORGANOLOGY am Musikinstrumentenmuseum der Universität Leipzig. herausgegeben von Josef Focht5033835Changelog:  - v0.0.1: Initial Upload.
DOI: 10.5281/zenodo.11598281
title: Peregrino di Zanetto Michelis (m2695)

description: -- Documentation --Name: Peregrino di Zanetto MichelismusiXplora-ID: m2695musiXplora-URI: https://musixplora.de/mxp/m2695Gender: mDate of Birth: 1522Place of Birth: UndefinedDate of Death: 1615Place of Death: UndefinedFirst Mentioned: 1547Sectors: Geigenbau, ZupfinstrumentenbauProfessions (Historical): Magister a violinis, Magistro de instrumenti de sonar, Magistro di cittere et lireProfessions (Musical): Geigenbauer, Harfenbauer, LautenmacherMain Place of Activity: BresciaPortfolio:
GroupRoleNamemXp-IDSortimenteSortimentHarfe2001474SortimenteSortimentGambe2001529SortimenteSortimentLyra2001612SortimenteSortimentVioloncello2001634Titel/Medien:
RoleSigelTitlemXp-IDRelatedLütgendorff 1922Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. 2 Bände. Lüt25002059RelatedLütgendorff 1990Die Geigen- und Lautenmacher vom Mittelalter bis zur Gegenwart. Teil 3: Ergänzungsband. Erstellt von Thomas Drescher. Lüt35002060RelatedFricke 2022aMusikinstrumenten-Museum Berlin 1923–1945. Die Rekonstruktion einer unbekannten Sammlung und ihre Verluste. . Erschienen als Enhanced Publication. LM-enc Band 1. Schriftenreihe der Forschungsstelle DIGITAL ORGANOLOGY am Musikinstrumentenmuseum der Universität Leipzig. herausgegeben von Josef Focht5033835Changelog:  - v0.0.1: Initial Upload.
DOI: 10.5281/zenodo.11598282
title: Reinhold Munkwitz (m2697)

description: -- Documentation --Name: Reinhold MunkwitzmusiXplora-ID: m2697musiXplora-URI: https://musixplora.de/mxp/m2697Gender: mFirst Mentioned: 1897Last Mentioned: 1905Sectors: AutomatenbauProfessions (Historical): PatentinhaberProfessions (Musical): AutomatenherstellerOther Places of Activity: LeipzigArbeitsumfeld:
GroupRoleNamemXp-IDKollegInnenKollegeGustav Bortmannb3614Patentrecht:
GroupRoleNamemXp-IDErfinderInnenErfinderPatentschrift. An Improved Device for Damping the Tongues of Musical Boxes. Anmeldedatum5080523ErfinderInnenErfinderPatentschrift. Improvements in Door Checks. Anmeldedatum5080525ErfinderInnenErfinderPatentschrift. Damper Device for Mechanical Musical Instruments. Anmeldedatum5080529Institutionen:
RoleTitlemXp-IDRelatedSirion3030141Titel/Medien:
RoleSigelTitlemXp-IDRelatedPatent GB 189710599Patentschrift. An Improved Device for Damping the Tongues of Musical Boxes. Anmeldedatum5080523RelatedPatent GB 189712824Patentschrift. Improvements in Door Checks. Anmeldedatum5080525RelatedPatent US 599681Patentschrift. Damper Device for Mechanical Musical Instruments. Anmeldedatum5080529Changelog:  - v0.0.1: Initial Upload.
DOI: 10.5281/zenodo.11598283
title: Reinhold Munkwitz (m2697)

description: -- Documentation --Name: Reinhold MunkwitzmusiXplora-ID: m2697musiXplora-URI: https://musixplora.de/mxp/m2697Gender: mFirst Mentioned: 1897Last Mentioned: 1905Sectors: AutomatenbauProfessions (Historical): PatentinhaberProfessions (Musical): AutomatenherstellerOther Places of Activity: LeipzigArbeitsumfeld:
GroupRoleNamemXp-IDKollegInnenKollegeGustav Bortmannb3614Patentrecht:
GroupRoleNamemXp-IDErfinderInnenErfinderPatentschrift. An Improved Device for Damping the Tongues of Musical Boxes. Anmeldedatum5080523ErfinderInnenErfinderPatentschrift. Improvements in Door Checks. Anmeldedatum5080525ErfinderInnenErfinderPatentschrift. Damper Device for Mechanical Musical Instruments. Anmeldedatum5080529Institutionen:
RoleTitlemXp-IDRelatedSirion3030141Titel/Medien:
RoleSigelTitlemXp-IDRelatedPatent GB 189710599Patentschrift. An Improved Device for Damping the Tongues of Musical Boxes. Anmeldedatum5080523RelatedPatent GB 189712824Patentschrift. Improvements in Door Checks. Anmeldedatum5080525RelatedPatent US 599681Patentschrift. Damper Device for Mechanical Musical Instruments. Anmeldedatum5080529Changelog:  - v0.0.1: Initial Upload.
DOI: 10.15468/dl.a59rum
title: Occurrence Download

description: A dataset containing 23177662 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardea Linnaeus, 1758"
 ]
}

 The dataset includes 23177662 records from 4038 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070653-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f74t6ghx
title: Western Lake Erie Restoration Assessment Composite Model

description: Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of western Lake Erie. The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization (Western Lake Erie Restoration Assessmente (WLERA)). Within the 192,618 ha study area that was bounded by the mouths of the Detroit River, MI to the north and the Black River, OH to the south, the model identified and prioritized 6,600 hectares of land most suitable for coastal wetland habitat restoration.
DOI: 10.5066/p9yhm9y0
title: Western Lake Erie Restoration Assessment: Degree Flowlines and Culverts

description: The U.S. Geological Survey (USGS) created geospatial datasets of potential culvert locations along with flowlines connected to southwestern Lake Erie as part of the Western Lake Erie Restoration Assessment (WLERA). The Degree Flowlines and Culverts datasets represent the flowline network and culverts in the WLERA study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area mapping application [https://glcwra.wim.usgs.gov/]. The map-based user interface can be used by stakeholders to find potential areas for successful wetlands restoration. Each flowline was assigned a connectivity score describing its level of connectedness to Lake Erie. Low numbers represent fewer disconnections, such as culverts or road crossings, between the reach and the water body requiring no flow network modification to restore the area. Please refer to the process steps and https://glcwra.wim.usgs.gov/ for further explanation on the datasets.
DOI: 10.15468/dl.872cen
title: Occurrence Download

description: A dataset containing 15784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil)",
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Bromus erectus Huds.",
 "Year 1970-2000"
 ]
}

 The dataset includes 15784 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003883-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.caxqk8
title: Occurrence Download

description: A dataset containing 604538 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "TaxonKey is Fabaceae",
 "HasGeospatialIssue is false"
 ]
 },
 "Country is one of (Denmark)"
 ]
}

 The dataset includes 604538 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003874-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f7125qsh
title: Western Lake Erie Restoration Assessment Degree Flowlines

description: This represents the flowline network in Western Lake Erie Restoration Assessment (WLERA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
DOI: 10.5281/zenodo.4277368
title: EXIOBASE 3

description: EXIOBASE 3 provides a time series of environmentally extended multi-regional input‐output (EE MRIO) tables ranging from 1995 to a recent year for 44 countries (28 EU member plus 16 major economies) and five rest of the world regions. EXIOBASE 3 builds upon the previous versions of EXIOBASE by using rectangular supply‐use tables (SUT) in a 163 industry by 200 products classification as the main building blocks.


EXIOBASE 3 is the culmination of work in the FP7 DESIRE project and builds upon earlier work on EXIOBASE 2 in the FP7 CREEA project and EXIOBASE 1 of the FP6 EXIOPOL project. These databases are available at the official EXIOBASE website.


A special issue of Journal of Industrial Ecology (Volume 22, Issue 3) describes the build process and some use cases of EXIOBASE 3. This includes the article by Stadler et. al 2018 describing the compilation of EXIOBASE 3. Further informations (data quality, updates, ...) can be found in the blog post describing a previous release at the Environmental Footprints webpage. Various concordance tables for the database are available here.


For more (background) information see the Readme_v38.txt file.


 


Previous EXIOBASE 3 Versions


 


The previous version 3.7 is also available on Zenodo. The even earlier public releases of the data (EXIOBASE v3.3 and v3.4) are available upon request. We recommend, however, to use the latest version due to major differences in water and land use accounts.


 


End year 


The original EXIOBASE 3 data series ends 2011. In addition, we also have estimates based on a range of auxiliary data, but mainly trade and macro-economic data which go up to 2022 when including IMF expectations. A lot of care must be taken in use of this data. It is only partially suitable for analysing trends over time!


The basic description of the process employed is in the relevant deliverable.


As of v3.8 (doi: 10.5281/zenodo.4277368), the end years of real data points used are: 2015 energy, 2019 all GHG (non fuel, non-CO2 are nowcasted from 2018), 2013 material, 2011 most others, land, water. More details are available in the readme file.


The EXIOBASE country disaggregated dataset EXIOBASE3rx provides land updates to 2015.


Some work is going on to update the extensions, but other collaborative efforts are more than welcome.


Bulk Download


To allow the download of specific years we uploaded the data as zip archives per year and mrio type (industry by industry: ixi, and product by product: pxp). If you need all data, we recommend the excellent zenodo_get python utility for the download.


After installing the tool, you can download the latest version with


zenodo_get 10.5281/zenodo.4277368



Previous versions are available by replacing the latest DOI with previous record numbers.


Alternatively, you can contact Richard Wood or Konstantin Stadler for access to the Box data repository.


Announcements


We use the EXIOBASE google group for announcing new versions of the database.
DOI: 10.15468/dl.qnk49t
title: Occurrence Download

description: A dataset containing 2726 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Long-term vegetation inventory dataset from the sampling plots in the Kologrivsky Forest Nature Reserve (1979-2022)"
 ]
}

 The dataset includes 2726 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003885-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6muhb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "GadmGid is RUS.33_1",
 "TaxonKey is Sparganium gramineum Georgi"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003884-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pebqev
title: Occurrence Download

description: A dataset containing 8821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus arctos Linnaeus, 1758",
 "Year 1980-2025"
 ]
}

 The dataset includes 8821 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003886-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15096134
title: PNSD and CCN concentration data over Dibrugarh during the period of 02/01/2023 to 04/02/2023
DOI: 10.5281/zenodo.15096135
title: PNSD and CCN concentration data over Dibrugarh during the period of 02/01/2023 to 04/02/2023
DOI: 10.5066/p9pw0uq6
title: Western Lake Erie Restoration Assessment: Dikes

description: The US Geological Survey (USGS) created the Dikes dataset as ancillary layer in the Western Lake Erie Restoration Assessment (WLERA) which covers the southwestern shore of Lake Erie. WLERA is a part of the USGS's Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative where coastal areas around the Great Lakes are identified and ranked for potential wetland restoration. The dikes dataset was created to identify human made and naturally occurring dikes or berms which have the potential to block the flow of water between Lake Erie and wetland habits. These potential dikes were outlined by selecting all the areas within the WLERA study area with a slope greater than 12 degrees (derived from the DEM created for WLERA). Please refer to the process steps and https://glcwra.wim.usgs.gov/ for further explanation on the methods.
DOI: 10.6084/m9.figshare.28677092
title: Eddy lifetime dataset

description: The all_data_random file is the historical data, the all_label_random file is the remaining lifetime, and the all_life_random file is the lifetime of the eddy.
DOI: 10.5066/f7w9579m
title: Western Lake Erie Restoration Assessment Dikes

description: This dataset is the output of a python script/ArcGIS model that identifies dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occurred. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
DOI: 10.5281/zenodo.14869700
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 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



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 - a pdf file containing plots of error metrics  



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



Error metrics - a .csv file containing error metrics 



A diverse collection of error metrics



Selected_Years - a .csv file 



Selected TMM in the TMY's  




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.14917682
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 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



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.14968227
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.