cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qc7vrg
title: Occurrence Download

description: A dataset listing the 84 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EN, NE, LC)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera",
 "Year 1991-2021"
 ]
}

 The dataset's 84 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030615-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wncgpw
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ephedra glauca Regel",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 43 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030631-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/12k6-7v48
title: "Extrusion deformation - time data"

description: "According to GB\/T 31467.3-2015, the Battery Enclosurewith Modules is placed on a test bench, Cylinders as extrusionmoving parts, to conduct extrusion tests in the X and Y directions. The extrusion is stopped when the extrusion forcereaches 200 kN or the deformation rate reaches 30%. During this process, the interior of the battery module is observed for any damage."
DOI: 10.15468/dl.krgfxp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia gigantea J.-P.Castillon"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030632-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.669mcb
title: Occurrence Download

description: A dataset containing 1066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ameivula ocellifera (Spix, 1825)"
 ]
}

 The dataset includes 1066 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030633-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzndj7
title: Occurrence Download

description: A dataset containing 1148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juglans regia L.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 1148 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030634-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fn9fgj
title: Occurrence Download

description: A dataset containing 2675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Diarrhena P.Beauv."
 ]
}

 The dataset includes 2675 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030635-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqdg99
title: Occurrence Download

description: A dataset containing 2322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lontra longicaudis (Olfers, 1818)"
 ]
}

 The dataset includes 2322 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030636-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15304182
title: A stratification system for breast cancer based on basoluminal tumor cells and spatial tumor architecture (R data)

description: This repository contains all R data objects for reproducing the data analysis in the breast cancer study from Meyer et al., 2025. The code that was used to generate and analyze the data objects is available at https://github.com/BodenmillerGroup/TNBC_publication.
DOI: 10.15468/dl.ffzq2m
title: Occurrence Download

description: A dataset containing 915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Rhizophora mucronata Lam.",
 "Year 2000-2025"
 ]
}

 The dataset includes 915 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030639-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ez27sk
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus pruinosa Schrenk",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 128 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030640-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9f3t5y
title: Occurrence Download

description: A dataset containing 45686 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterois volitans (Linnaeus, 1758)"
 ]
}

 The dataset includes 45686 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030637-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmue3w
title: Occurrence Download

description: A dataset containing 22811 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ARC-PPRI: National Collection Of Fungi(1817-2009)"
 ]
}

 The dataset includes 22811 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030641-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15411419
title: Nikon Spinning Disk example data

description: Example data of the Nikon Spinning Disk  used at the ZMB.
DOI: 10.5281/zenodo.15411420
title: Nikon Spinning Disk example data

description: Example data of the Nikon Spinning Disk  used at the ZMB.
DOI: 10.5281/zenodo.11066903
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Austria

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:  



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2021 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2022 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2023 – Austrian Agency for Health and Food Safety
description: AT; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.15411385
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Austria

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:  



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2021 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2022 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2023 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2024 – Austrian Agency for Health and Food Safety
description: AT; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7030967
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Austria

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed.  

The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. 

Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below:  



Commission Regulation (EU) 625/2017, on the application of food and feed law

Commission Delegated Regulation (EU) 2022/931

Commission Implementing Regulation (EU) 2022/932

Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006


These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). 

More details are available in last year's finalised call for data ‘Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA’.

REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: 

OCC-CHEMMON2020 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2021 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2022 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2023 – Austrian Agency for Health and Food Safety

OCC-CHEMMON2024 – Austrian Agency for Health and Food Safety
description: AT; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7030968
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Austria

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: Commission Regulation (EU) 625/2017, on the application of food and feed law Commission Regulation (EC) 1881/2006, on maximum levels for certain contaminants in foodstuffs Commission Regulation (EC) 2017/2158 establishing mitigation measures and benchmark levels for the reduction of the presence of acrylamide in food These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2020, split by sampling year (data element ‘sampY’). More details are available in the ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: OCC-CHEMMON2020 – Austrian Agency for Health and Food Safety
description: AT; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7038091
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Austria

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: Commission Regulation (EU) 625/2017, on the application of food and feed law Commission Regulation (EC) 1881/2006, on maximum levels for certain contaminants in foodstuffs Commission Regulation (EC) 2017/2158 establishing mitigation measures and benchmark levels for the reduction of the presence of acrylamide in food These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2021, split by sampling year (data element ‘sampY’). More details are available in the ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: OCC-CHEMMON2020 – Austrian Agency for Health and Food Safety OCC-CHEMMON2021 – Austrian Agency for Health and Food Safety
description: AT; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.7808806
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Austria

description: In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: Commission Regulation (EU) 625/2017, on the application of food and feed law Commission Regulation (EC) 1881/2006, on maximum levels for certain contaminants in foodstuffs Commission Regulation (EC) 2017/2158 establishing mitigation measures and benchmark levels for the reduction of the presence of acrylamide in food These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). More details are available in the ‘Call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA (europa.eu)’. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: OCC-CHEMMON2020 – Austrian Agency for Health and Food Safety OCC-CHEMMON2021 – Austrian Agency for Health and Food Safety OCC-CHEMMON2022 – Austrian Agency for Health and Food Safety
description: AT; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.10942404
title: The single-cell landscape of triple-negative breast cancer reveals a prognostic role of progenitor-like basoluminal tumor cells (IF data)

description: This repository contains all raw whole-slide immunofluorescence (IF) data for the triple negative breast cancer IMC study from Meyer et al., 2024. The code that was used to process and analyze the data is available at https://github.com/BodenmillerGroup/TNBC_publication. 

Structure:BasoLum.zip - Contains whole-slide IF data for CK5, CK7, CK19 stainings of selected TNBC patients (related to Figure 4).

BasoLumStem.zip - Contains whole-slide IF data for CK5, CK19, SOX9 stainings of selected TNBC patients (related to Figure 5).
DOI: 10.25448/lbu.28912121
title: Nancun water map

description: The Nancun water map' version 1 was produced in collaboration between Leeds Beckett University, UK and South China University of Technology in Guangzhou, China. It depicts 'bodies of water' including ponds, rivers and streams and public wells as well as water related services such as water sellers, public toilets, public wash basins, laundrettes, dry and dragon boat river docks. The map is published under the Creative Commons license BY-NC-SA 4.0 which can be accessed here: https://creativecommons.org/licenses/by-nc-sa/4.0/
DOI: 10.25448/lbu.28912121.v1
title: Nancun water map

description: The Nancun water map' version 1 was produced in collaboration between Leeds Beckett University, UK and South China University of Technology in Guangzhou, China. It depicts 'bodies of water' including ponds, rivers and streams and public wells as well as water related services such as water sellers, public toilets, public wash basins, laundrettes, dry and dragon boat river docks. The map is published under the Creative Commons license BY-NC-SA 4.0 which can be accessed here: https://creativecommons.org/licenses/by-nc-sa/4.0/
DOI: 10.15468/dl.uhpvmz
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus pamirica Kom.",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 37 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030642-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10890544
title: The single-cell landscape of triple-negative breast cancer reveals a prognostic role of progenitor-like basoluminal tumor cells (IMC data)

description: This repository contains all raw imaging mass cytometry (IMC) data for the triple negative breast cancer IMC study from Meyer et al., 2024. The code that was used to process and analyze the data is available at https://github.com/BodenmillerGroup/TNBC_publication.
DOI: 10.15468/dl.b53t8n
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus iliensis Drobow",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030644-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ec3kag
title: Occurrence Download

description: A dataset containing 854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Diarthron Turcz."
 ]
}

 The dataset includes 854 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030645-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvpmfy
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atraphaxis irtyschensis C.Y.Yang & Y.L.Han",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030646-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmaer7
title: Occurrence Download

description: A dataset containing 2711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nigeria",
 "DatasetKey is Grasses of the Forest Herbarium Ibadan (FHI) Nigeria",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2711 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030648-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.