cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.egd69y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrophoma cupressi (Cooke & Harkn.) Berl. & Voglino",
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is one of (United States of America, Canada)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041171-240906103802322/datasets/export for details.
DOI: 10.5281/zenodo.13890612
title: GMDN-EMDN Mapping Project - Data Release

description: Description

This release contains the datasets described in the paper "A Data-driven Algorithm Streamlining Medical Device Nomenclature Interoperability Through Large Language Models". The repository provides the necessary input data to reproduce the results presented in the paper, as well as all the output files described. Access to the files can be obtained, following a reasonable request, by contacting the Corresponding Author at enrico.caiani@polimi.it.

Included in this release





EMDN.csv: EMDN dataset

foiclass.zip: FDA Product Code Classification Database

GUDID_full_release.zip: FDA GUDID data of American medical devices

italian_medical_device_full_list.csv: Italian medical devices dataset

All output files described in the paper

Additional files for further analysis





Acknowledgements






We thank the Italian Ministry of Health, the U.S. Food and Drug Administration, and the European Commission for providing the datasets used in this project with public access.For more information, please visit either this Zenodo repository or the official GitHub repository.
DOI: 10.5281/zenodo.13890613
title: GMDN-EMDN Mapping Project - Data Release

description: Description

This release contains the datasets described in the paper "A Data-driven Algorithm Streamlining Medical Device Nomenclature Interoperability Through Large Language Models". The repository provides the necessary input data to reproduce the results presented in the paper, as well as all the output files described. Access to the files can be obtained, following a reasonable request, by contacting the Corresponding Author at enrico.caiani@polimi.it.

Included in this release





EMDN.csv: EMDN dataset

foiclass.zip: FDA Product Code Classification Database

GUDID_full_release.zip: FDA GUDID data of American medical devices

italian_medical_device_full_list.csv: Italian medical devices dataset

All output files described in the paper

Additional files for further analysis





Acknowledgements






We thank the Italian Ministry of Health, the U.S. Food and Drug Administration, and the European Commission for providing the datasets used in this project with public access.For more information, please visit either this Zenodo repository or the official GitHub repository.
DOI: 10.5284/1116908
title: Data from an Archaeological Evaluation, Excavation and Watching Brief at Wallingford Police Station, Wallingford, Oxfordshire, 2013-2019.

description: This collection comprises, images, plants, reports, site records, and a database from the an archaeological evaluation, excavation and watching brief carried out by Oxford Archaeology on the site of the former Police Station, Reading Road, Wallingford (NGR 460710 189010). The archaeological programme was undertaken in advance of housing development by Winslade Investments.
DOI: 10.15468/dl.2sakjt
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.40719 46.93984,9.65691 46.77434,8.54359 46.07366,8.64262 45.77048,9.41489 45.60154,10.67342 45.41496,11.59312 45.55071,12.14576 46.18865,11.47731 46.98913,10.40719 46.93984))",
 "HasGeospatialIssue is false",
 "TaxonKey is Erebia styx Bang-Haas, 1927"
 ]
}

 The dataset includes 738 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041172-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t55pe
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrophoma mamillaris (Berk. & M.A.Curtis) Tassi",
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041174-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azjamx
title: Occurrence Download

description: A dataset containing 150523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Operophtera brumata (Linnaeus, 1758)",
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is one of (United States of America, Canada)"
 ]
 }
 }
 ]
}

 The dataset includes 150523 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041123-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm9rmd
title: Occurrence Download

description: A dataset containing 9762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((3.095269 6.410568, 3.676295 6.410568, 3.676295 6.864647, 3.095269 6.864647, 3.095269 6.410568))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 9762 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041173-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11073564
title: Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Schöneberg (BESCHO) from 2022-06-28 to 2022-10-05 [RAW]

description: Original data files from scanning DWL measurements on a roof in Berlin–Schöneberg located in the city centre of Berlin, Germany
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Janet Barlow, Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the FUTURE project and the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the EPSRC in the project "Fluid dynamics of Urban Tall-building clUsters for Resilient built Environments" (FUTURE, grant agreement No EP/V010166/1) and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.11073565
title: Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Schöneberg (BESCHO) from 2022-06-28 to 2022-10-05 [RAW]

description: Original data files from scanning DWL measurements on a roof in Berlin–Schöneberg located in the city centre of Berlin, Germany
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Janet Barlow, Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the FUTURE project and the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the EPSRC in the project "Fluid dynamics of Urban Tall-building clUsters for Resilient built Environments" (FUTURE, grant agreement No EP/V010166/1) and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.15468/dl.d49kt2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrophoma mamillaris (Berk. & M.A.Curtis) Tassi",
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is one of (United States of America, Canada)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041175-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u63p9c
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Ceiba chodatii (Hassl.) Ravenna"
 ]
}

 The dataset includes 167 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041177-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/8b7b511a691d0afe07f510d7805109e2
title: Social-Ecological Dynamics of Recreational Fishery Landscapes: Recreational angler catch and satisfaction in the Midwest

description: The goal of this dataset is to understand angler information gathering and sharing, technology use, expectation-setting, site choice, and the factors influencing angler satisfaction in rural and urban environments. These data were collected through on-site creel surveys and instantaneous counts of fishing effort and associated angler vehicles. Traditional creel surveys are completed only at the end of an angler's fishing trip. These dual-intercept creel survey data are novel because anglers were intercepted both before and after their fishing trip. This survey design allowed us to collect unbiased estimates of anglers' expected catch. These data can be used to understand the role of angler expectations in angler satisfaction and behavior.
 Data collection were conducted in two counties in Wisconsin, USA. Vilas County is a primarily rural, forested, and glaciated region with many relatively small lakes. Dane County has a larger urban center (Madison, WI) that is surrounded by agricultural areas. Most of the Dane County lakes surveyed were part of the Yahara chain of lakes: Lakes Mendota, Monona, Wingra, Waubesa, and Kegonsa. Dane county has fewer, larger lakes with greater connectivity to each other. Vilas County was sampled in the summer of 2018, the summer of 2019, and the summer and winter of 2022. Dane County was sampled in the winter and summer of 2022.
DOI: 10.5281/zenodo.11073401
title: Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Wilmersdorf (BEWILM) from 2021-09-08 to 2022-10-01 [RAW]

description: Original data files from DWL measurements. Original data files from scanning DWL measurements on a roof in Berlin–Wilmersdorf located in the SW of the urban area of Berlin, Germany
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Fred Meier, Achim Holtmann, Dieter Scherer, Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by Fred Meier, Achim Holtmann, Dieter Scherer and the Principal Investigators (PIs) of the Urbisphere project and is part of the Urban Climate Observatory (UCO) Berlin.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the research programme Urban Climate Under Change [UC]² funded by the German Ministry of Research and Education (grant agreement No FKZ 01LP1602A) and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, the Funding Agencies and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, the Funding Agencies and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.
DOI: 10.5281/zenodo.11073402
title: Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Wilmersdorf (BEWILM) from 2021-09-08 to 2022-10-01 [RAW]

description: Original data files from DWL measurements. Original data files from scanning DWL measurements on a roof in Berlin–Wilmersdorf located in the SW of the urban area of Berlin, Germany
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Fred Meier, Achim Holtmann, Dieter Scherer, Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by Fred Meier, Achim Holtmann, Dieter Scherer and the Principal Investigators (PIs) of the Urbisphere project and is part of the Urban Climate Observatory (UCO) Berlin.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the research programme Urban Climate Under Change [UC]² funded by the German Ministry of Research and Education (grant agreement No FKZ 01LP1602A) and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, the Funding Agencies and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, the Funding Agencies and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.
DOI: 10.15468/dl.gw7b7g
title: Occurrence Download

description: A dataset listing the 1810 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-129.43496 27.39549,-89.20238 27.39549,-89.20238 50.91309,-129.43496 50.91309,-129.43496 27.39549))",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypodiopsida"
 ]
}

 The dataset's 1810 records were derived from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041161-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynwgg9
title: Occurrence Download

description: A dataset containing 869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.7601 28.82245,-88.76231 28.82245,-88.76231 30.7157,-93.7601 30.7157,-93.7601 28.82245))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Agkistrodon piscivorus (Lacépède, 1789)"
 ]
}

 The dataset includes 869 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041180-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9548096
title: Mahanagar Yatayat Transport Dataset
DOI: 10.15468/dl.5687g5
title: Occurrence Download

description: A dataset containing 84022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lonicera deflexicalyx Batalin, Lonicera ferdinandi Franch., Lonicera henryi Hemsl., Lonicera hispida Pall. ex Schult., Lonicera korolkowii Stapf, Lonicera maackii (Rupr.) Maxim., Lonicera maximowiczii (Rupr.) Regel, Lonicera myrtillus Hook.fil. & Thomson, Lonicera nitida E.H.Wilson, Lonicera pileata Oliv., Lonicera quinquelocularis Hardw., Lonicera ruprechtiana Regel, Lonicera standishii Jacques, Lonicera syringantha Maxim., Lonicera tragophylla Hemsl., Lonicera trichosantha Bureau & Franch., Lonicera webbiana Wall., Lycium chinense Mill., Magnolia denudata Desr., Magnolia liliiflora Desr., Magnolia sargentiana Rehder & E.H.Wilson, Magnolia ×soulangiana Soul.-Bod., Magnolia wilsonii (Finet & Gagnep.) Rehder, Mahonia bealei (Fortune) Carrière, Malus baccata (L.) Borkh.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 84022 records from 563 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041178-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11073601
title: Data from Doppler-Wind Lidar (DWL) measurements at Berlin – TUB Campus Charlottenburg (BETUCC) from 2022-06-22 to 2022-06-28 [RAW]

description: Original data files from DWL measurements.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Janet Barlow, Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the FUTURE project and the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the EPSRC in the project "Fluid dynamics of Urban Tall-building clUsters for Resilient built Environments" (FUTURE, grant agreement No EP/V010166/1) and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.11073602
title: Data from Doppler-Wind Lidar (DWL) measurements at Berlin – TUB Campus Charlottenburg (BETUCC) from 2022-06-22 to 2022-06-28 [RAW]

description: Original data files from DWL measurements.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the urbisphere-Berlin campaign technical documentation.

Files are organised in sub-directories per year and day of year (DOY).

COPYRIGHT NOTICE

Copyright Janet Barlow, Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the FUTURE project and the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the EPSRC in the project "Fluid dynamics of Urban Tall-building clUsters for Resilient built Environments" (FUTURE, grant agreement No EP/V010166/1) and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project