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

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ketupa zeylonensis (J.F.Gmelin, 1788)"
 ]
}

 The dataset includes 64 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031823-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryz7as
title: Occurrence Download

description: A dataset containing 2352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tradescantia occidentalis (Britton) Smyth",
 "Geometry POLYGON((-111 36, -99 36, -99 45, -111 45, -111 36))"
 ]
}

 The dataset includes 2352 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017573-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3pjsm
title: Occurrence Download

description: A dataset containing 1123 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 Ambrosia psilostachya DC.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1123 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017572-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ensfzh
title: Occurrence Download

description: A dataset containing 130399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cistus salviifolius L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 130399 records from 573 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017563-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12071084
title: Dataset belonging to Fragmented micro-growth habitats present opportunities for alternative competitive outcomes

description: This Dataset contains the raw data, processed data and script/code underlying the results and figures presented in the manuscript "Fragmented micro-growth habitats present opportunities for alternative competitive outcomes", (deposited at BioRXiv 10.1101/2024.01.26.577336)

by: Maxime Batsch1, Isaline Guex2, Helena Todorov1, Clara M. Heiman1, Jordan Vacheron1, Julia A. Vorholt3, Christoph Keel1, and Jan Roelof van der Meer1*

1) Department of Fundamental Microbiology, University of Lausanne, CH-1015 Lausanne, Switzerland

2) Department of Mathematics, University of Fribourg, CH-1700 Fribourg, Switzerland

3) Institute for Microbiology, Swiss Federal Institute of Technology (ETH Zürich), CH-8049 Zürich, Switzerland

The raw data consists of microscopy droplet/cell image data, 96-well plate reader data, and flow cytometry cell counts.Processed data are organised by Figure in the manuscript and/or the Supplementary figures belonging to the manuscript. Figure folders contain the main output, the input data, the code and scripts to produce the output from the input, and relevant statistical tests.
DOI: 10.5281/zenodo.12071085
title: Dataset belonging to Fragmented micro-growth habitats present opportunities for alternative competitive outcomes

description: This Dataset contains the raw data, processed data and script/code underlying the results and figures presented in the manuscript "Fragmented micro-growth habitats present opportunities for alternative competitive outcomes", (deposited at BioRXiv 10.1101/2024.01.26.577336)

by: Maxime Batsch1, Isaline Guex2, Helena Todorov1, Clara M. Heiman1, Jordan Vacheron1, Julia A. Vorholt3, Christoph Keel1, and Jan Roelof van der Meer1*

1) Department of Fundamental Microbiology, University of Lausanne, CH-1015 Lausanne, Switzerland

2) Department of Mathematics, University of Fribourg, CH-1700 Fribourg, Switzerland

3) Institute for Microbiology, Swiss Federal Institute of Technology (ETH Zürich), CH-8049 Zürich, Switzerland

The raw data consists of microscopy droplet/cell image data, 96-well plate reader data, and flow cytometry cell counts.Processed data are organised by Figure in the manuscript and/or the Supplementary figures belonging to the manuscript. Figure folders contain the main output, the input data, the code and scripts to produce the output from the input, and relevant statistical tests.
DOI: 10.5281/zenodo.13342779
title: Dataset belonging to Fragmented micro-growth habitats present opportunities for alternative competitive outcomes

description: This Dataset contains the raw data, processed data and script/code underlying the results and figures presented in the manuscript "Fragmented micro-growth habitats present opportunities for alternative competitive outcomes", (deposited at BioRXiv 10.1101/2024.01.26.577336)

by: Maxime Batsch1, Isaline Guex2, Helena Todorov1, Clara M. Heiman1, Jordan Vacheron1, Julia A. Vorholt3, Christoph Keel1, and Jan Roelof van der Meer1*

1) Department of Fundamental Microbiology, University of Lausanne, CH-1015 Lausanne, Switzerland

2) Department of Mathematics, University of Fribourg, CH-1700 Fribourg, Switzerland

3) Institute for Microbiology, Swiss Federal Institute of Technology (ETH Zürich), CH-8049 Zürich, Switzerland

The raw data consists of microscopy droplet/cell image data, 96-well plate reader data, and flow cytometry cell counts.Processed data are organised by Figure in the manuscript and/or the Supplementary figures belonging to the manuscript. Figure folders contain the main output, the input data, the code and scripts to produce the output from the input, and relevant statistical tests.
DOI: 10.15468/dl.gfg8be
title: Occurrence Download

description: A dataset containing 1890687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "GadmGid is ECU.19.6_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 1890687 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074430-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24669249
title: Quality filtered data

description: The Neotropics harbors the largest species richness of the planet; however, even in well-studied groups, there are potentially hundreds of species that lack a formal description, and likewise, many already described taxa have challenging identifications. Specifically in small mammals, complex morphological diagnoses have been facilitated by the use of molecular data, particularly from mitochondrial sequences, to obtain accurate species identifications. Obtaining mitochondrial markers implies the use of PCR and specific primers, which are largely absent for non-model organisms. Oxford Nanopore Technologies (ONT) is a new alternative for sequencing the entire mitochondrial genome without the need for specific primers. Nevertheless, only a limited number of studies have employed exclusively ONT long-reads to assemble mitochondrial genomes, and no study has yet evaluated the usefulness of such reads in multiple non-model organisms. Hence, in this study, we explore the use of ONT long reads as a tool for the reconstruction of mitochondrial genomes of small mammals and a potential method for real-time species identification.We implemented fieldwork to collect small mammals, including rodents, bats, and marsupials, in five localities in the northern extreme of the Cordillera Central of Colombia. For DNA extraction six millimeters were removed from the distal section of the tail of terrestrial mammals (rodents, opossums), and three patagium (wing membrane) samples were taken from bats. DNA samples were sequenced using the MinION device and Flongle flow cells. Shotgun-sequenced data was used to reconstruct the mitochondrial genome of all the samples. In parallel, using a customized computational pipeline, species-level identifications were obtained based on sequencing raw reads (Whole Genome Sequencing or mitochondrial-filtered reads). ONT-based identifications were corroborated using traditional morphological characters and phylogenetic analysis. This dataset corresponds to the raw fastq sequence files with reads above Q7. Each file corresponds to one of the 21 individuals for which we obtained sequencing data.
DOI: 10.15468/dl.xvc97w
title: Occurrence Download

description: A dataset containing 35691748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 35691748 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074442-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6j9c9y
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.457707 -35.639116, 147.457707 -35.643608, 147.464445 -35.643608, 147.464445 -35.641362, 147.462199 -35.641362, 147.462199 -35.639116, 147.457707 -35.639116)), ((147.457707 -35.639116, 147.457707 -35.634625, 147.455462 -35.634625, 147.455462 -35.639116, 147.457707 -35.639116)), ((147.464445 -35.641362, 147.466691 -35.641362, 147.466691 -35.632379, 147.464445 -35.632379, 147.464445 -35.634625, 147.462199 -35.634625, 147.462199 -35.639116, 147.464445 -35.639116, 147.464445 -35.641362)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074449-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmzjuz
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Anthonotha trunciflora (Harms) J.Léonard)"
 ]
}

 The dataset includes 194 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074450-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3vrdp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Cabreramops aequatorianus (Cabrera, 1917)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074451-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6y836
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.203932 -35.639116, 147.203932 -35.643608, 147.208424 -35.643608, 147.208424 -35.639116, 147.203932 -35.639116))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074452-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ajd9jf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.379104 -35.639116, 147.379104 -35.641362, 147.385842 -35.641362, 147.385842 -35.639116, 147.379104 -35.639116))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074454-240626123714530/datasets/export for details.
DOI: 10.15468/dl.fm24yd
title: Occurrence Download

description: A dataset containing 6136 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Base de datos de la Sala de Colecciones Biológicas de la Universidad Católica del Norte (SCBUCN) Chile"
 ]
}

 The dataset includes 6136 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074453-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nd4bx
title: Occurrence Download

description: A dataset containing 297985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Eurycea bislineata (Green, 1818), Eurycea cirrigera (Green, 1831), Eurycea longicauda (Green, 1818), Desmognathus fuscus (Rafinesque, 1820), Desmognathus monticola Dunn, 1916, Desmognathus quadramaculatus (Holbrook, 1840), Desmognathus ochrophaeus Cope, 1859, Pseudotriton ruber (Sonnini de Manoncourt & Latreille, 1801), Plethodon cinereus (Green, 1818), Notophthalmus viridescens (Rafinesque, 1820))"
 ]
}

 The dataset includes 297985 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074446-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eamkzj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.399317 -35.639116, 147.401562 -35.639116, 147.401562 -35.625641, 147.403808 -35.625641, 147.403808 -35.62115, 147.410546 -35.62115, 147.410546 -35.625641, 147.415037 -35.625641, 147.415037 -35.616658, 147.410546 -35.616658, 147.410546 -35.612167, 147.4083 -35.612167, 147.4083 -35.614412, 147.403808 -35.614412, 147.403808 -35.618904, 147.401562 -35.618904, 147.401562 -35.62115, 147.399317 -35.62115, 147.399317 -35.639116)), ((147.399317 -35.639116, 147.394825 -35.639116, 147.394825 -35.641362, 147.399317 -35.641362, 147.399317 -35.639116)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074455-240626123714530/datasets/export for details.
DOI: 10.25828/m3dg-0h66
title: Master List of Schools 2019
DOI: 10.15468/dl.5ya6br
title: Occurrence Download

description: A dataset listing the 1903 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Solanaceae"
 ]
}

 The dataset's 1903 records were derived from 357 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074448-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcjjec
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.464445 -35.648099, 147.464445 -35.650345, 147.462199 -35.650345, 147.462199 -35.652591, 147.466691 -35.652591, 147.466691 -35.648099, 147.464445 -35.648099))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074456-240626123714530/datasets/export for details.
DOI: 10.34770/701n-mz17
title: Deep Potential training data for subcritical and supercritical water

description: Data set used to train a Deep Potential (DP) model for subcritical and
 supercritical water. Training data contain atomic forces, potential
 energy, atomic coordinates and cell tensor. Energy and forces were
 evaluated with the density functional SCAN. Atomic configurations were
 extracted from DP molecular dynamics at P = 250 bar and T = 553, 623, 663,
 733 and 823 K. Input files used to train the DP model are also provided.
DOI: 10.15468/dl.5fqvds
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.224144 -35.66382, 147.224144 -35.670557, 147.228636 -35.670557, 147.228636 -35.66382, 147.224144 -35.66382))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074457-240626123714530/datasets/export for details.
DOI: 10.15468/dl.2jv8ng
title: Occurrence Download

description: A dataset containing 6118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Gyrinophilus porphyriticus (Green, 1827))"
 ]
}

 The dataset includes 6118 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074458-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vqdbn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.224144 -35.672803, 147.224144 -35.675049, 147.22639 -35.675049, 147.22639 -35.672803, 147.224144 -35.672803))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074459-240626123714530/datasets/export for details.
DOI: 10.15468/dl.x8cfzx
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crematogaster cerasi Fitch, 1855",
 "Country is Canada",
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 60 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074460-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26781934
title: Dados Quantitativos - SBIE 2024

description: Dados Qualitativos do AttrakDiff
DOI: 10.6084/m9.figshare.26781934.v1
title: Dados Quantitativos - SBIE 2024

description: Dados Qualitativos do AttrakDiff
DOI: 10.15468/dl.j4s53b
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.208424 -35.670557, 147.208424 -35.672803, 147.21067 -35.672803, 147.21067 -35.670557, 147.208424 -35.670557)), ((147.21067 -35.672803, 147.21067 -35.679541, 147.203932 -35.679541, 147.203932 -35.681786, 147.215161 -35.681786, 147.215161 -35.686278, 147.219653 -35.686278, 147.219653 -35.681786, 147.224144 -35.681786, 147.224144 -35.679541, 147.219653 -35.679541, 147.219653 -35.675049, 147.217407 -35.675049, 147.217407 -35.679541, 147.215161 -35.679541, 147.215161 -35.672803, 147.21067 -35.672803)))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074462-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6h8upp
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074461-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26189864
title: A rapid spectrophotometric test for assessing skin sensitization potential of chemicals by using <i>N</i>-acetyl-L-cysteine methyl ester <i>in chemico</i>

description: During the key event 1 of skin sensitization defined as covalent binding or haptenization of sensitizer to either thiol or amino group of skin proteins, a sensitizer not only covalently binds with skin proteins but also interacts with nucleophilic small molecules such as glutathione (GSH). Although GSH would not be directly associated with skin sensitization, this interaction may be applied for developing an alternative test method simulating key event 1, haptenization. Thus, the aim of the present study was to examine whether <i>N</i>-acetyl-L-cysteine methyl ester (NACME), a thiol-containing compound, was selected as an electron donor to determine whether NACME reacted with sensitizers. Following a reaction of NACME with a sensitizer in a 96-well plate, the remaining NACME was measured spectrophotometrically using 5,5’-dithio-bis-(2-nitrobenzoic acid) (DTNB). Following the optimization of test conditions with two different vehicles, such as acetonitrile (ACN) and dimethyl sulfoxide (DMSO), 64 test chemicals were tested to determine the predictive capacity of current NACME test method. The results obtained showed, the predictive capacity of 94.6% sensitivity, 88.9% specificity, and 92.2% accuracy utilizing DMSO as a vehicle with a cutoff NACME depletion of 5.85%. The three parameters were also over 85% in case of ACN. These values were comparable to or better than other OECD-approved test methods. Data demonstrated that a simple thiol-containing compound NACME might constitute as a reliable candidate for identifying reactive skin sensitizers, and that this method be considered as practical method as a screening tool for assessing a chemical’s tendency to initiate skin sensitization.