cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive159525.20240510.9
title: Roseomonas mucosa Han et al. 2003 emend. Sánchez-Porro et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159526.20240510.9
title: Bacteroides salyersiae Song et al. 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159527.20240510.9
title: Corallococcus sicarius Livingstone et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159528.20240916.9.1
title: Bacillus altitudinis Shivaji et al. 2006 emend. Liu et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159529.20240916.9.1
title: Alistipes shahii Song et al. 2006 emend. Hahnke et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159530.20240916.9.1
title: Ligilactobacillus salivarius (Rogosa et al. 1953) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159531.20240916.9.1
title: Pseudomonas moraviensis Tvrzová et al. 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159532.20240916.9.1
title: Marinobacter vinifirmus Liebgott et al. 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159533.20240916.9.1
title: Hypericibacter terrae Noviana et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159534.20240916.9.1
title: Hypericibacter adhaerens Noviana et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159535.20240510.9
title: Kaistella flava

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159536.20240510.9
title: Asanoa sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159538.20240510.9
title: Enterocloster citroniae (Warren et al. 2007) Haas and Blanchard 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159539.20240916.9.1
title: Megamonas funiformis Sakon et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159540.20240510.9
title: Saccharothrix sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159541.20240510.9
title: Brucella haematophila (Kämpfer et al. 2007) Hördt et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive159542.20240510.9
title: Micromonospora psammotica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.tvmab8
title: Occurrence Download

description: A dataset containing 33571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Octopus Cuvier, 1798",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33571 records from 285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060724-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25446/oxford.26234870
title: Philip Baker's old MPE texts

description: Materials on very early Melanesian Pidgin English collected by Philip Baker. Philip shared these with me in the early 2000s. His original corpus was wiped out in the Boxing Day tsunami 2006. This is only part of what he had originally collected.
DOI: 10.15468/dl.hsjchc
title: Occurrence Download

description: A dataset containing 22128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Tetrax tetrax (Linnaeus, 1758)"
 ]
}

 The dataset includes 22128 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019128-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12705075
title: Interviste a lavoratori di piattaforme italiane di pulizie domestiche (2023)

description: Trascrizione di interviste realizzate da Ivana Pais (Università Cattolica del Sacro Cuore) e Arianna Marcolin (Università degli studi di Milano) a lavoratrici e lavoratori di due piattaforme italiane di pulizie domestiche relative alle loro condizioni di lavoro. I lavoratori hanno firmato una liberatoria che autorizza la condivisione tramite Zenodo. Le interviste sono state anonimizzate. 

 

Transcript of interviews conducted by Ivana Pais (Università Cattolica del Sacro Cuore) and Arianna Marcolin (University of Milan) with workers of two Italian domestic cleaning platforms concerning their working conditions. The workers signed a release authorising the sharing through Zenodo. The interviews were anonymised. The texts are in Italian.
DOI: 10.5281/zenodo.12705076
title: Interviste a lavoratori di piattaforme italiane di pulizie domestiche (2023)

description: Trascrizione di interviste realizzate da Ivana Pais (Università Cattolica del Sacro Cuore) e Arianna Marcolin (Università degli studi di Milano) a lavoratrici e lavoratori di due piattaforme italiane di pulizie domestiche relative alle loro condizioni di lavoro. I lavoratori hanno firmato una liberatoria che autorizza la condivisione tramite Zenodo. Le interviste sono state anonimizzate. 

 

Transcript of interviews conducted by Ivana Pais (Università Cattolica del Sacro Cuore) and Arianna Marcolin (University of Milan) with workers of two Italian domestic cleaning platforms concerning their working conditions. The workers signed a release authorising the sharing through Zenodo. The interviews were anonymised. The texts are in Italian.
DOI: 10.15468/dl.ba8v5h
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fallopia convolvulus (L.) Á.Löve"
 ]
}

 The dataset includes 47 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019129-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/62218
title: Chandra X-ray Observatory ObsId 62218
DOI: 10.25574/62219
title: Chandra X-ray Observatory ObsId 62219
DOI: 10.25574/62220
title: Chandra X-ray Observatory ObsId 62220
DOI: 10.15468/dl.yu22zm
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Carex spissa L.H.Bailey ex Hemsl.)"
 ]
}

 The dataset includes 246 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019130-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7633100
title: RDP Classifier training files for 16S rRNA sequences from GTDB

description: 16S rRNA gene sequences from the Genome Taxonomy Database (GTDB release 207) were used to retrain the RDP Classifier (version 2.13). Two sets of training files are provided:



genus.zip - Genus level

species.zip - Species level


The code in prepare_files.R was used to prepare the GTDB sequence and taxonomy files for retraining the RDP Classifier. Notes:



Steps to retrain the RDP Classifier are adapted from https://john-quensen.com/tutorials/training-the-rdp-classifier/

Python scripts (lineage2taxTrain.py and addFullLineage.py) are available at https://github.com/rdpstaff/classifier/issues/18


An analysis of human microbiome data using these files is described in this preprint.
DOI: 10.5281/zenodo.12525163
title: RDP Classifier training files for 16S rRNA sequences from GTDB

description: 16S rRNA gene sequences from the Genome Taxonomy Database (GTDB release 214) were used to retrain the RDP Classifier (version 2.13). Two sets of training files are provided:



genus.zip - Genus level

species.zip - Species level


The code in prepare_files.R was used to prepare the GTDB sequence and taxonomy files for retraining the RDP Classifier. Notes:



Steps to retrain the RDP Classifier are adapted from https://john-quensen.com/tutorials/training-the-rdp-classifier/

Python scripts (lineage2taxTrain.py and addFullLineage.py) are available at https://github.com/rdpstaff/classifier/issues/18

The first 1000 training sequences (train_nodups_1000.fasta) are used for benchmarking the classification accuracy (see results at end of prepare_files.R).
DOI: 10.5281/zenodo.12703477
title: RDP Classifier training files for 16S rRNA sequences from GTDB

description: 16S rRNA gene sequences from the Genome Taxonomy Database (GTDB release 220) were used to retrain the RDP Classifier (version 2.13). Two sets of training files are provided:



genus.zip - Genus level

species.zip - Species level


The code in prepare_files.R was used to prepare the GTDB sequence and taxonomy files for retraining the RDP Classifier. Notes:



Steps to retrain the RDP Classifier are adapted from https://john-quensen.com/tutorials/training-the-rdp-classifier/

Python scripts (lineage2taxTrain.py and addFullLineage.py) are available at https://github.com/rdpstaff/classifier/issues/18

The first 1000 training sequences (train_nodups_1000.fasta) are used for benchmarking the classification accuracy (see results at end of prepare_files.R).
DOI: 10.5281/zenodo.7633099
title: RDP Classifier training files for 16S rRNA sequences from GTDB

description: 16S rRNA gene sequences from the Genome Taxonomy Database (GTDB release 220) were used to retrain the RDP Classifier (version 2.13). Two sets of training files are provided:



genus.zip - Genus level

species.zip - Species level


The code in prepare_files.R was used to prepare the GTDB sequence and taxonomy files for retraining the RDP Classifier. Notes:



Steps to retrain the RDP Classifier are adapted from https://john-quensen.com/tutorials/training-the-rdp-classifier/

Python scripts (lineage2taxTrain.py and addFullLineage.py) are available at https://github.com/rdpstaff/classifier/issues/18

The first 1000 training sequences (train_nodups_1000.fasta) are used for benchmarking the classification accuracy (see results at end of prepare_files.R).
DOI: 10.5281/zenodo.12705131
title: Dataset of global gridded monthly crop coefficient, yearly and monthly blue-to-total water footprint ratio, and national unit blue and green water footprints of maize (2000-2021)

description: The data includes monthly crop coefficient, yearly and monthly blue-to-total water footprint ratio at a 5 arcminute spatial scale, and the unit water footprint at an annual national (regional) scale of global maize.
DOI: 10.5281/zenodo.12705130
title: Dataset of global gridded monthly crop coefficient, yearly and monthly blue-to-total water footprint ratio, and national unit blue and green water footprints of maize (2000-2021)

description: The data includes monthly crop coefficient, yearly and monthly blue-to-total water footprint ratio at a 5 arcminute spatial scale, and the unit water footprint at an annual national (regional) scale of global maize.
DOI: 10.15468/dl.pxu2vd
title: Occurrence Download

description: A dataset containing 36819 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus pubescens subsp. pubescens"
 ]
}

 The dataset includes 36819 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019132-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yf8z2263gy.1
title: AUTORECYCLER: PROTOTYPE BASED ON ARTIFICIAL VISION TO AUTOMATE THE MATERIAL CLASSIFICATION PROCESS (PLASTIC, GLASS, CARDBOARD AND METAL).

description: Environmental protection has gained greater importance over time due to the negative impact and irreversible consequences that have occurred worldwide and stem from pollution. One of the great challenges faced in different parts of the world is the inadequate management and classification of solid waste. In order to contribute to tackling this issue, this paper proposes an automated sorting system based on artificial vision which allows recognition and separation of recyclable materials (Plastic, Glass, Cardboard and Metal) through a webcam connected in real time to the Nvidia® Jetson Nano™ 2GB programming board, which has a convolutional neural network (CNN) trained for the proper classification of waste. The system had a 95% accuracy in separating plastic, 96% in glass and metal, and 94% in cardboard. With this in mind, we conclude it contributes to the recycling effort, which has an impact on the reduction of environmental pollution worldwide.
DOI: 10.15468/dl.wsmqx4
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((163.32499 -22.88339,168.55314 -22.88339,168.55314 -19.50688,163.32499 -19.50688,163.32499 -22.88339))",
 "HasGeospatialIssue is false",
 "TaxonKey is Myoporum crassifolium G.Forst."
 ]
}

 The dataset includes 92 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019134-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12684178
title: Code and data for "Mapping the natural disturbance risk to protective forests across the European Alps"

description: This repository holds the code and output data for the publication entitled "Mapping the natural disturbance risk to protective forests across the European Alps",accepted in the Journal of Environmental Management, see https://doi.org/10.1016/j.jenvman.2024.121659

The output maps can be viewed online here: https://risiko-gebirgswald.shinyapps.io/maps/ 



lib: scripts used for data processing and analysis

Alps: output data (hazard, vulnerability and risk maps) for the European Alps

Bayern: output data (hazard, vulnerability and risk maps) for the Bavarian Alps


All of the data used in this study are publicly available:



GEDI Level 2A and 2B products can be downloaded at https://lpdaac.usgs.gov/products/gedi02_av002/ and https://lpdaac.usgs.gov/products/gedi02_bv002/, respectively. 

The European disturbance map (Senf & Seidl, 2021) is available at https://doi.org/10.5281/zenodo.3924381 

The attribution of disturbance agents for the disturbance map is available at https://zenodo.org/records/4607230

CHELSA climate data is available at www.chelsa-climate.org

The Copernicus DEM can be downloaded from https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1.

Wind data were obtained from https://map.neweuropeanwindatlas.eu/

Soil data were obtained from https://esdac.jrc.ec.europa.eu/content/european-soil-database-v20-vector-and-attribute-data. 

The boundary of the Alpine convention is available at https://www.atlas.alpconv.org/layers/geonode_data:geonode:Alpine_Convention_Perimeter_2018_v2
DOI: 10.5281/zenodo.12684179
title: Code and data for "Mapping the natural disturbance risk to protective forests across the European Alps"

description: This repository holds the code and output data for the publication entitled "Mapping the natural disturbance risk to protective forests across the European Alps",accepted in the Journal of Environmental Management, see https://doi.org/10.1016/j.jenvman.2024.121659

The output maps can be viewed online here: https://risiko-gebirgswald.shinyapps.io/maps/ 



lib: scripts used for data processing and analysis

Alps: output data (hazard, vulnerability and risk maps) for the European Alps

Bayern: output data (hazard, vulnerability and risk maps) for the Bavarian Alps


All of the data used in this study are publicly available:



GEDI Level 2A and 2B products can be downloaded at https://lpdaac.usgs.gov/products/gedi02_av002/ and https://lpdaac.usgs.gov/products/gedi02_bv002/, respectively. 

The European disturbance map (Senf & Seidl, 2021) is available at https://doi.org/10.5281/zenodo.3924381 

The attribution of disturbance agents for the disturbance map is available at https://zenodo.org/records/4607230

CHELSA climate data is available at www.chelsa-climate.org

The Copernicus DEM can be downloaded from https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1.

Wind data were obtained from https://map.neweuropeanwindatlas.eu/

Soil data were obtained from https://esdac.jrc.ec.europa.eu/content/european-soil-database-v20-vector-and-attribute-data. 

The boundary of the Alpine convention is available at https://www.atlas.alpconv.org/layers/geonode_data:geonode:Alpine_Convention_Perimeter_2018_v2
DOI: 10.18712/nsd-nsd1420-v2
title: Gender Equality Project in First to Third Grade of Compulsory School, 1990

description: The aim of this project was to promote equality between girls and boys by letting them handle tasks that are traditionally ascribed to the opposite gender. A pedagogical arrangement was carried through in classrooms with different activities, most often in pure girl- and boy groups. The survey spanned over three years, from the pupils started at school (490 persons) until they were finished with the third grade (457 persons). The dataset contains, amongst other things, information about which activities the children mastered, which they did, which they liked, and so on. Four datasets are available and contains respectively data from the first grade 1987-90, the second grade 1988, the third grade 1990 and child drawing 1990.
DOI: 10.15468/dl.5j4vet
title: Occurrence Download

description: A dataset listing the 4643 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Geometry POLYGON((88.06855 21.43009,89.96845 21.43009,89.96845 22.44252,88.06855 22.44252,88.06855 21.43009))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 4643 records were derived from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019133-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ube6su
title: Occurrence Download

description: A dataset containing 6787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Switzerland",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Swiss National Butterflies and Forester Moths Databank, Swiss National Moths Databank, Swiss National Coleoptera Databank, Swiss National Grasshoppers Databank, Swiss National Dragonflies Databank, Swiss National Mammal Databank, Swiss National Apoidea Databank, Swiss National Amphibian Databank, Swiss National Mollusca Databank)",
 "Geometry POLYGON((9.53706 47.24702,9.5741 47.24914,9.59038 47.25431,9.59488 47.27616,9.63056 47.29654,9.63632 47.33007,9.63301 47.34032,9.62697 47.35102,9.61892 47.3548,9.60747 47.35805,9.57587 47.35485,9.55442 47.35326,9.54115 47.3461,9.5296 47.33578,9.52861 47.33311,9.51461 47.32978,9.49152 47.31141,9.49769 47.28671,9.5086 47.2726,9.53706 47.24702))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 6787 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019136-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/62222
title: Chandra X-ray Observatory ObsId 62222
DOI: 10.18154/rwth-2024-06123
title: Dataset to: "Kinetic modeling of a poly(n-vinylcaprolactam-co-glycidyl methacrylate) microgel synthesis: a hybrid in silico and experimental approach"

description: This dataset contains experimental data on the synthesis of microgels based on N-vinylcaprolactam and glycidyl methacrylate. In addition, this publication contains the Modelica code for the dynamic model of the described synthesis with the parameter values determined in the corresponding journal publication.
DOI: 10.15468/dl.pwns5t
title: Occurrence Download

description: A dataset containing 10508 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opuntia humifusa (Raf.) Raf."
 ]
}

 The dataset includes 10508 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019138-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10101212
title: Scientometric Dataset for Benford's law

description: This dataset proposes datasets built around Benford's law in the field of Scientometrics.
This new version adds data on the ratio
DOI: 10.5281/zenodo.12698510
title: Scientometric Dataset for Benford's law

description: This dataset proposes datasets built around Benford's law in the field of Scientometrics.

This new version adds data on the ratio

All first digit data are available
DOI: 10.5281/zenodo.6867716
title: Scientometric Dataset for Benford's law

description: This dataset proposes datasets built around Benford's law in the field of Scientometrics.

This new version adds data on the ratio

All first digit data are available
DOI: 10.5281/zenodo.6867717
title: Scientometric Dataset for Benford's law

description: This dataset proposes datasets built around Benford's law in the field of Scientometrics