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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sayornis nigricans)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011384-250802193616735/datasets/export for details.
DOI: 10.15468/dl.arvev3
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptocentrus leptocephalus"
 ]
}

 The dataset includes 334 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011382-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmdcbe
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea alba",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 209 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011385-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dg6qbw
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lonchura stygia)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 91 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011386-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m38w5s
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus tomentellus",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 150 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011387-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euestg
title: Occurrence Download

description: A dataset containing 6913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "DatasetKey is one of (Southern African Bird Atlas Project 2, iNaturalist Research-grade Observations, EOD – eBird Observation Dataset, Southern African Bird Atlas Project, Botanical Database of Southern Africa (BODATSA): Botanical Collections, SAFRING: Historical Bird Ringing Records (2005-2009), Coordinated Waterbird Counts, International Barcode of Life project (iBOL), IZIKO South Africa Museum Collection (1800-2013), Observation.org, Nature data from around the World)",
 "Geometry POLYGON((15.9418 -28.9621,18.49833 -35.69022,28.67432 -33.92048,29.77714 -32.15565,27.9224 -31.08855,22.50857 -30.61517,17.89679 -28.12544,15.9418 -28.9621))",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Penaeaceae"
 ]
}

 The dataset includes 6913 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011388-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16740332
title: Spatial isoform sequencing at sub-micrometer single-cell resolution reveals novel patterns of spatial isoform variability in brain cell types

description: Demo data for Spl-IsoFind.
DOI: 10.5281/zenodo.16740333
title: Spatial isoform sequencing at sub-micrometer single-cell resolution reveals novel patterns of spatial isoform variability in brain cell types

description: Demo data for Spl-IsoFind.
DOI: 10.15468/dl.2fmydk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Taeniolethrinops cyrtonotus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011389-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nb65f
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC0 1.0"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011390-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uksnsn
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea alba",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011391-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kg4sgf
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptocentrus singapurensis"
 ]
}

 The dataset includes 67 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011392-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gexjy2
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lonchura teerinki)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 276 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011393-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87pghz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea alba",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011394-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncj4bm
title: Occurrence Download

description: A dataset containing 5319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-115.1647 37.65684,-115.378 37.67373,-115.4271 37.50599,-115.4504 37.61634,-115.6779 37.54731,-115.5296 37.24377,-115.7473 37.02409,-116.0185 37.27166,-115.928 36.99763,-115.9906 36.93546,-116.6995 36.9972,-116.8065 37.28315,-116.9092 37.19524,-117.0246 37.43963,-117.1808 37.52838,-117.879 37.40723,-117.9617 37.28309,-117.8731 37.28723,-117.7944 37.07732,-117.9544 37.00084,-117.9515 36.88746,-117.8227 36.66252,-117.5905 36.53221,-117.702 36.54888,-117.7001 36.33985,-117.8002 36.52408,-117.9937 36.60588,-118.0845 36.84138,-118.2462 36.70385,-118.0401 36.46577,-117.8747 35.6612,-118.1077 35.52994,-118.0064 35.30001,-118.067 35.21965,-118.7917 34.78093,-118.4387 34.71956,-117.4643 34.26589,-117.1769 34.41801,-116.4889 34.32896,-116.5167 34.16457,-116.3997 34.13626,-116.4803 34.10575,-116.3148 34.09686,-115.9023 33.67817,-115.4918 33.71225,-115.3721 33.95609,-115.2841 33.87187,-115.5649 34.39096,-115.3579 34.50802,-115.2336 34.50913,-115.1734 34.281,-115.0287 34.49015,-114.9045 34.48742,-114.8483 34.31828,-114.0637 34.52534,-113.7549 34.46349,-113.6928 34.6298,-113.9285 34.76649,-114.0439 35.11463,-113.8177 35.22367,-113.8187 35.40141,-113.7145 35.4153,-113.8815 35.71407,-114.0844 35.81357,-113.816 36.22755,-113.7161 36.52703,-113.7669 36.72443,-113.3502 36.84576,-113.2794 37.29557,-113.8386 37.20913,-113.9632 37.38364,-114.3332 37.26329,-114.575 37.38097,-114.8029 37.22457,-114.8184 37.32927,-114.9423 37.28012,-115.1626 37.47778,-115.1647 37.65684))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Toxostoma redivivum"
 ]
}

 The dataset includes 5319 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011395-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9tt85a
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Draba nuda",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 159 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011396-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdg6sx
title: Occurrence Download

description: A dataset containing 6296677 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 6296677 records from 4097 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011360-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnye94
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acipenser sinensis Gray, 1835"
 ]
}

 The dataset includes 35 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032580-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15421871
title: Repositorien für offene Lehr- und Lernobjekte an deutschsprachigen Hochschulen

description: Diese Übersicht wurde im Rahmen des Seminars Informationsqualität: Qualität von Repositorien für Open Educational Resources (ROER) an der Hochschule Darmstadt im Wintersemester 2020/2021 entwickelt. Sie bietet einen strukturierten Einblick in zentrale Repositorien für Open Educational Resources (OER) im deutschsprachigen Hochschulraum. Ziel ist es, Orientierung in der vielfältigen Landschaft digitaler Bildungsinfrastrukturen zu geben. Die Ergebnisse der gesamten Studie sind zu finden in Hiebl et al. (2023): Reflecting Open Practices on Digital Infrastructures: Functionalities and Implications of Knowledge | SpringerLink
DOI: 10.5281/zenodo.15421872
title: Repositorien für offene Lehr- und Lernobjekte an deutschsprachigen Hochschulen

description: Diese Übersicht wurde im Rahmen des Seminars Informationsqualität: Qualität von Repositorien für Open Educational Resources (ROER) an der Hochschule Darmstadt im Wintersemester 2020/2021 entwickelt. Sie bietet einen strukturierten Einblick in zentrale Repositorien für Open Educational Resources (OER) im deutschsprachigen Hochschulraum. Ziel ist es, Orientierung in der vielfältigen Landschaft digitaler Bildungsinfrastrukturen zu geben. Die Ergebnisse der gesamten Studie sind zu finden in Hiebl et al. (2023): Reflecting Open Practices on Digital Infrastructures: Functionalities and Implications of Knowledge | SpringerLink
DOI: 10.5281/zenodo.15421967
title: HDI data
DOI: 10.5281/zenodo.15421968
title: HDI data
DOI: 10.7939/r3-tdg9-kf79
title: Recent intensification (2004-2020) of permafrost mass-wasting in the central Mackenzie Valley foothills is a legacy of past forest fire disturbances

description: Supplemental shapefiles of mapped thaw slumps and deep-seated permafrost failures associated with "Recent intensification (2004-2020) of permafrost mass-wasting in the central Mackenzie Valley foothills is a legacy of past forest fire disturbances"
DOI: 10.15468/dl.9xaf9s
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnolia macclurei (Dandy) Figlar)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 175 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032583-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ixmkeo
title: test dialog Dataset

description: test
DOI: 10.15468/dl.j8e37a
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acipenser stellatus Pallas, 1771"
 ]
}

 The dataset includes 428 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032585-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.py5mht
title: Occurrence Download

description: A dataset containing 187665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Zingiberaceae"
 ]
}

 The dataset includes 187665 records from 1028 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032573-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15412930
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Iceland

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, 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-CHEMMON2024 – Icelandic Food and Veterinary Authority
description: IS; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.15412931
title: Results from national testing programs on the occurrence of chemical contaminants in food and feed - Iceland

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, 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-CHEMMON2024 – Icelandic Food and Veterinary Authority
description: IS; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.15395276
title: Dataset for the publication entitled "β-Glucanase vs cellulase for enzymatic-assisted extraction of phenolic compounds in avocado peels by-products"

description: The industrial production of avocado-derived foods generates important by-product amounts which are rich in phenolic compounds and deserves revalorization. This study is focused on optimizing the extraction of phenolic compounds from avocado peels using enzymatic-assisted extraction. A central composite design was used to optimize the main extraction parameters. Freeze-dried ‘Hass’ avocados peels were treated with varying concentrations (0–2 %) of Viscozyme® L (mainly β-glucanase), or Celluclast® (cellulase) under different temperature and incubation time conditions. High-performance liquid chromatography coupled with mass spectrometry was employed to identify and quantify individual phenolic compounds, while total antioxidant capacity and total phenolic content were spectrophotometrically evaluated. This model demonstrated that optimal recovery of phenolic compounds (∼32 g kg−1 procyanidin B1, ∼6 g kg−1 procyanidin C1, and ∼5 g kg−1 epicatechin) and antioxidant capacity was achieved with a 1 % Viscozyme at moderate temperatures (39-41 °C), and 52 min, validating the effectiveness of the design approach for refining the extraction parameters. By contrast, Celluclast was not able to report reproducible results following the same experimental design. Therefore, Viscozyme extraction seems to be an effective technique to disrupt the structural integrity of cell walls, enhancing the extraction yield of bioactive compounds in avocado peels. It can also be improved in combination with other green extraction techniques, contributing the sustainability of the agri-food sector.
DOI: 10.5281/zenodo.15395277
title: Dataset for the publication entitled "β-Glucanase vs cellulase for enzymatic-assisted extraction of phenolic compounds in avocado peels by-products"

description: The industrial production of avocado-derived foods generates important by-product amounts which are rich in phenolic compounds and deserves revalorization. This study is focused on optimizing the extraction of phenolic compounds from avocado peels using enzymatic-assisted extraction. A central composite design was used to optimize the main extraction parameters. Freeze-dried ‘Hass’ avocados peels were treated with varying concentrations (0–2 %) of Viscozyme® L (mainly β-glucanase), or Celluclast® (cellulase) under different temperature and incubation time conditions. High-performance liquid chromatography coupled with mass spectrometry was employed to identify and quantify individual phenolic compounds, while total antioxidant capacity and total phenolic content were spectrophotometrically evaluated. This model demonstrated that optimal recovery of phenolic compounds (∼32 g kg−1 procyanidin B1, ∼6 g kg−1 procyanidin C1, and ∼5 g kg−1 epicatechin) and antioxidant capacity was achieved with a 1 % Viscozyme at moderate temperatures (39-41 °C), and 52 min, validating the effectiveness of the design approach for refining the extraction parameters. By contrast, Celluclast was not able to report reproducible results following the same experimental design. Therefore, Viscozyme extraction seems to be an effective technique to disrupt the structural integrity of cell walls, enhancing the extraction yield of bioactive compounds in avocado peels. It can also be improved in combination with other green extraction techniques, contributing the sustainability of the agri-food sector.