cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9jxafh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Centronycteris centralis Thomas, 1912"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079592-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id54672.1
title: StrainInfo SI-ID 54672.1

description: StrainInfo dataset 54672 about a strain of Helicobacter pylori. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54532.1
title: StrainInfo SI-ID 54532.1

description: StrainInfo dataset 54532 about a strain of Haemophilus parainfluenzae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54533.1
title: StrainInfo SI-ID 54533.1

description: StrainInfo dataset 54533 about a strain of Haemophilus parainfluenzae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54534.1
title: StrainInfo SI-ID 54534.1

description: StrainInfo dataset 54534 about a strain of Haemophilus parainfluenzae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54535.1
title: StrainInfo SI-ID 54535.1

description: StrainInfo dataset 54535 about a strain of Haemophilus parainfluenzae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54621.1
title: StrainInfo SI-ID 54621.1

description: StrainInfo dataset 54621 about a strain of Hafnia alvei. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54622.1
title: StrainInfo SI-ID 54622.1

description: StrainInfo dataset 54622 about a strain of Hafnia alvei. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54623.1
title: StrainInfo SI-ID 54623.1

description: StrainInfo dataset 54623 about a strain of Nakazawaea holstii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54624.1
title: StrainInfo SI-ID 54624.1

description: StrainInfo dataset 54624 about a strain of Helcococcus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.yq9tfu
title: Occurrence Download

description: A dataset containing 651 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sanguisorba hakusanensis Makino, Sanguisorba hakusanensis var. japonensis (Makino) Ohwi, Sanguisorba hakusanensis var. coreana H.Hara, Sanguisorba hakusanensis f. coreana (H.Hara) M.Kim)"
 ]
}

 The dataset includes 651 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079591-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id54673.1
title: StrainInfo SI-ID 54673.1

description: StrainInfo dataset 54673 about a strain of Helicobacter pylori. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54674.1
title: StrainInfo SI-ID 54674.1

description: StrainInfo dataset 54674 about a strain of Helicobacter pylori. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54675.1
title: StrainInfo SI-ID 54675.1

description: StrainInfo dataset 54675 about a strain of Helicobacter pylori. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54676.1
title: StrainInfo SI-ID 54676.1

description: StrainInfo dataset 54676 about a strain of Helicobacter pylori. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54536.1
title: StrainInfo SI-ID 54536.1

description: StrainInfo dataset 54536 about a strain of Haemophilus parainfluenzae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54537.1
title: StrainInfo SI-ID 54537.1

description: StrainInfo dataset 54537 about a strain of Haemophilus parainfluenzae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54538.1
title: StrainInfo SI-ID 54538.1

description: StrainInfo dataset 54538 about a strain of Haemophilus parainfluenzae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54539.1
title: StrainInfo SI-ID 54539.1

description: StrainInfo dataset 54539 about a strain of Haemophilus parainfluenzae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54625.1
title: StrainInfo SI-ID 54625.1

description: StrainInfo dataset 54625 about a strain of Helcococcus kunzii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id54626.1
title: StrainInfo SI-ID 54626.1

description: StrainInfo dataset 54626 about a strain of Helcococcus kunzii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dd.vr23d6
title: Oak leaf morphology may be more strongly shaped by climate than by phylogeny

description: Summary of data used in [paper](https://doi.org/10.1186/s13595-024-01232-z)
DOI: 10.15468/dl.dgmav5
title: Occurrence Download

description: A dataset containing 663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dialium guianense",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 663 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025563-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/z8d-884-66z
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.365f25
title: Occurrence Download

description: A dataset containing 12001 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Briareidae"
 ]
}

 The dataset includes 12001 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075323-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bubhd
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sium sisarum L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 561 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075322-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cbfwd
title: Occurrence Download

description: A dataset containing 1747814773 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1747814773 records from 28117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172052-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbft6w
title: Occurrence Download

description: A dataset containing 13304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material citation, Material sample, Specimen)",
 "DatasetKey is one of (USGS Nonindigenous Aquatic Species database, South Florida Fisheries Habitat Assessment Program (FHAP-SF), USGS South Florida Fish and Invertebrate Assessment Network Harvest, Global database of key seagrass structure, biomass and production variables - Darwin Core Archive, MarineGEO Global Seagrass Habitat Monitoring Data, University of South Florida Herbarium (USF), Base de datos de los pastos marinos mexicanos., MEXU/Colección de Plantas Acuáticas, UF Florida Museum Paleobotany)",
 "Geometry POLYGON((-77.64143 17.98066,-76.37921 31.69203,-96.77962 30.36649,-99.10005 20.33718,-95.13599 17.04063,-77.64143 17.98066))",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cymodoceaceae, Ruppiaceae, Hydrocharitaceae)"
 ]
}

 The dataset includes 13304 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025048-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5cuxp
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Fritillaria unibracteata",
 "Year 1900-2025"
 ]
}

 The dataset includes 42 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025049-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dd87435yhf.1
title: DEI Reference Texts and Target Data

description: Reference Text data for DEI model
Website text used for comparisons, taken on 13th October 2022 and 15th August 2023
DOI: 10.6084/m9.figshare.30581585
title: Land use and mangement data in China

description: Land use and management data in China, with a spatial resolution of 0.1°, can be directly used as input files for LPJ-GUESS model. The relevant papers include "Long-term changes of nitrogen leaching and the contributions of terrestrial nutrient sources to lake eutrophication dynamics on the Yangtze Plain of China (https://doi.org/10.5194/bg-20-1635-2023)" and "Improving future agricultural sustainability by optimizing crop distributions in China (https://doi.org/10.1093/pnasnexus/pgae562)"
DOI: 10.6084/m9.figshare.30581585.v1
title: Land use and mangement data in China

description: Land use and management data in China, with a spatial resolution of 0.1°, can be directly used as input files for LPJ-GUESS model. The relevant papers include "Long-term changes of nitrogen leaching and the contributions of terrestrial nutrient sources to lake eutrophication dynamics on the Yangtze Plain of China (https://doi.org/10.5194/bg-20-1635-2023)" and "Improving future agricultural sustainability by optimizing crop distributions in China (https://doi.org/10.1093/pnasnexus/pgae562)"
DOI: 10.5281/zenodo.17572307
title: Renewal bud traits determine spring phenology in perennial herbs

description: We measured the timing of spring growth and flowering pattern (first flowering day, day of peak growth, growth rate and flowering length) in a phylogenetically representative set of 243 species of temperate perennial herbs grown in semi-natural conditions of a botanical garden of Charles University in Prague. These phenological traits were linked with data on renewal bud traits (flower and leaf preformation, bud volume, and bud scale coverage differentiation) as proximate drivers of species phenology and with whole plant traits (plant height, belowground storage volume and bud bank traits) and analysed using non-phylogenetic and phylogenetic regression models and structural equation modelling.
DOI: 10.5281/zenodo.17572308
title: Renewal bud traits determine spring phenology in perennial herbs

description: We measured the timing of spring growth and flowering pattern (first flowering day, day of peak growth, growth rate and flowering length) in a phylogenetically representative set of 243 species of temperate perennial herbs grown in semi-natural conditions of a botanical garden of Charles University in Prague. These phenological traits were linked with data on renewal bud traits (flower and leaf preformation, bud volume, and bud scale coverage differentiation) as proximate drivers of species phenology and with whole plant traits (plant height, belowground storage volume and bud bank traits) and analysed using non-phylogenetic and phylogenetic regression models and structural equation modelling.
DOI: 10.15468/dl.m363xq
title: Occurrence Download

description: A dataset containing 9571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Empetrum nigrum",
 "BasisOfRecord is one of (Specimen, Human Observation, Occurrence evidence, Material sample)",
 "HasCoordinate is true",
 "Country is one of (Canada, United States of America, Mexico)"
 ]
}

 The dataset includes 9571 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025051-251025141854904/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.29589464
title: Intra-breath measurements - supporting information of “Pattern recognition in intra-breath oscillometry measurements"

description: This measurement dataset is part of the supporting information for our article entitled <i>“Pattern recognition in intra-breath oscillometry measurements”</i>, which can be found through the references provided in the publication.In addition to presenting the detailed methodology and results of our analysis, the article serves as a general guide for conducting machine learning (ML)-based classification using intra-breath oscillometry (IBOsc) data. It includes guidelines on signal preprocessing, feature extraction, artefact detection, aggregation strategies, and interpretable ML workflows.<b>About Intra-Breath Oscillometry (IBOsc):</b>The article introduces intra-breath oscillometry in more detail. Briefly, oscillometry is a non-invasive method for evaluating the mechanical properties of the respiratory system. The novel intra-breath variant (IBOsc) employs a <b>single-frequency test signal</b> (typically 10 Hz in adults) and computes respiratory impedance over short, overlapping time windows (approximately 0.1 seconds), capturing dynamic changes throughout the breathing cycle.<b>Dataset Structure:</b>The dataset includes <b>multiple measurement visits of 871 patients</b> (the article only included the firts visits).Each patient has a <b>dedicated folder</b>, which may contain <b>multiple measurement files</b>. The file naming structure adheres to the following convention: patietnID_measurementID_fileID.txt.inpx <br>Note: One visit may contain multiple repeated measures with different file IDs. All measurements were acquired using the <b>tremoflo® C-100</b> device (THORASYS Thoracic Medical Systems Inc., Montreal, QC, Canada) in its research mode with <b>10 Hz single-frequency excitation</b>.Subjects were seated, used a nose clip, and supported their cheeks with their hands, following the technical recommendations for routine oscillometry.Recordings lasted 20–30 seconds, capturing several full breathing cycles.The <b>pressure and flow signals were sampled at 256 Hz</b> and exported using the manufacturer’s software.<b><i>labels.csv</i></b> file contains metadata for the dataset. This file includes an index of the patients, the number of measurement files available for each patient, and their corresponding diagnostic label: <b>healthy</b>, <b>COPD</b>, or <b>ILD</b>.<b>Data Content:</b>Each column in the <i>.txt.inpx</i> data files is explained in the article:<b>Time</b> (second): Timestamps for each sample.<b>Vol</b> (liter): Volume calculated from the flow signal.<b>Pcyl </b>(cmH₂O): Measured pressure.<b>Flow</b> (L/s): Respiratory flow signal.The paper provides step-by-step instructions on how to process these signals to compute the <b>mechanical impedance of the respiratory system (Zrs)</b> and offers explanations for all signal components involved.<br>
DOI: 10.6084/m9.figshare.29589464.v2
title: Intra-breath measurements - supporting information of “Pattern recognition in intra-breath oscillometry measurements"

description: This measurement dataset is part of the supporting information for our article entitled <i>“Pattern recognition in intra-breath oscillometry measurements”</i>, which can be found through the references provided in the publication.In addition to presenting the detailed methodology and results of our analysis, the article serves as a general guide for conducting machine learning (ML)-based classification using intra-breath oscillometry (IBOsc) data. It includes guidelines on signal preprocessing, feature extraction, artefact detection, aggregation strategies, and interpretable ML workflows.<b>About Intra-Breath Oscillometry (IBOsc):</b>The article introduces intra-breath oscillometry in more detail. Briefly, oscillometry is a non-invasive method for evaluating the mechanical properties of the respiratory system. The novel intra-breath variant (IBOsc) employs a <b>single-frequency test signal</b> (typically 10 Hz in adults) and computes respiratory impedance over short, overlapping time windows (approximately 0.1 seconds), capturing dynamic changes throughout the breathing cycle.<b>Dataset Structure:</b>The dataset includes <b>multiple measurement visits of 871 patients</b> (the article only included the firts visits).Each patient has a <b>dedicated folder</b>, which may contain <b>multiple measurement files</b>. The file naming structure adheres to the following convention: patietnID_measurementID_fileID.txt.inpx <br>Note: One visit may contain multiple repeated measures with different file IDs. All measurements were acquired using the <b>tremoflo® C-100</b> device (THORASYS Thoracic Medical Systems Inc., Montreal, QC, Canada) in its research mode with <b>10 Hz single-frequency excitation</b>.Subjects were seated, used a nose clip, and supported their cheeks with their hands, following the technical recommendations for routine oscillometry.Recordings lasted 20–30 seconds, capturing several full breathing cycles.The <b>pressure and flow signals were sampled at 256 Hz</b> and exported using the manufacturer’s software.<b><i>labels.csv</i></b> file contains metadata for the dataset. This file includes an index of the patients, the number of measurement files available for each patient, and their corresponding diagnostic label: <b>healthy</b>, <b>COPD</b>, or <b>ILD</b>.<b>Data Content:</b>Each column in the <i>.txt.inpx</i> data files is explained in the article:<b>Time</b> (second): Timestamps for each sample.<b>Vol</b> (liter): Volume calculated from the flow signal.<b>Pcyl </b>(cmH₂O): Measured pressure.<b>Flow</b> (L/s): Respiratory flow signal.The paper provides step-by-step instructions on how to process these signals to compute the <b>mechanical impedance of the respiratory system (Zrs)</b> and offers explanations for all signal components involved.<br>