cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.938jse
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coryanthes leucocorys Rolfe"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063098-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywn34v
title: Occurrence Download

description: A dataset listing the 2060 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "Geometry POLYGON((15.24902 -5.64222,29.66309 -6.77808,31.20117 4.86329,17.88574 5.41477,15.24902 -5.64222))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 2060 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044599-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt2gkw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasypus pilosus (Fitzinger, 1856)",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007248-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yeumze
title: Occurrence Download

description: A dataset containing 6517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1950-2020",
 "HasCoordinate is true",
 "TaxonKey is Abaeis nicippe (Cramer, 1779)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6517 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012979-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15166274
title: Chemma: Large Language Models to Accelerate Organic Chemistry Synthesis

description: Instruction datasets for retrosynthesis on USPTO-50k benchmark.
DOI: 10.5281/zenodo.15166275
title: Chemma: Large Language Models to Accelerate Organic Chemistry Synthesis

description: Instruction datasets for retrosynthesis on USPTO-50k benchmark.
DOI: 10.15468/dl.xazeew
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kingsleya junki Magalhães, 2003"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016351-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14812807
title: ATLANTIC SPATIAL - Description
DOI: 10.5281/zenodo.14812808
title: ATLANTIC SPATIAL - Description
DOI: 10.15468/dl.svjvpc
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carpodiptera cubensis Griseb.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016352-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyq7cm
title: Occurrence Download

description: A dataset listing the 67 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-38.41236 -12.57992,-38.17578 -12.57992,-38.17578 -12.33841,-38.41236 -12.33841,-38.41236 -12.57992))",
 "HasGeospatialIssue is false",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset's 67 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016329-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3usuxs
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solanum betaceum Cav."
 ]
}

 The dataset includes 144 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016353-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csbm3e
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kingsleya siolii (Bott, 1967)"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016355-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vs7pcq
title: Occurrence Download

description: A dataset containing 26249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hamamelis virginiana L., Hamamelis mollis Oliv., Hamamelis vernalis Sarg., Hamamelis virginiana L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26249 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016354-250127130748423/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.28351136
title: Trained Weights for Herbarium Sample Segmentation CNN Model

description: This dataset contains the trained weights for a convolutional neural network (CNN) model designed to segment herbarium samples from scanned images. The CNN model is built on the OCRNet architecture, as implemented in the https://github.com/PaddlePaddle/PaddleSeg toolkit for semantic segmentation.The final weights were obtained by fine-tuning the OCRNet architecture on a dataset of 400 high-resolution fern images, originally published by White et al. (2020; https://doi.org/10.1002/aps3.11352). This dataset includes corresponding masks generated through a combination of automated and manual curation tools, providing a robust foundation for training a segmentation model.For instructions on using the model, please visit: https://github.com/sales-lab/powerplant.git
DOI: 10.15468/dl.bwdbtk
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ceiba acuminata (S.Watson) Rose)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016357-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jthqkg
title: Occurrence Download

description: A dataset containing 2118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cynomys mexicanus Merriam, 1892",
 "Year 2000-2025"
 ]
}

 The dataset includes 2118 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016358-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6vnby
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrobrachium denticulatum Ostrovski, Da Fonseca & Da Silva-Ferreira, 1996"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016359-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ca2wkp
title: Occurrence Download

description: A dataset containing 97836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.58108 37.13961,-6.90781 36.5197,-5.45566 35.94379,-4.08821 36.75275,-4.57226 37.67789,-5.93971 37.69705,-6.58108 37.13961))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 97836 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016356-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kysz6v
title: Occurrence Download

description: A dataset containing 750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ceiba aesculifolia (Kunth) Britten & Baker fil.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 750 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016361-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbuwd2
title: Occurrence Download

description: A dataset containing 37233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clethra acuminata Michx., Clethra alcoceri Greenm., Clethra alexandri Griseb., Clethra alnifolia L., Clethra arborea Aiton, Clethra arfakana Sleumer, Clethra barbinervis Siebold & Zucc., Clethra bodinieri H.Lév., Clethra canescens Reinw. ex Blume, Clethra cardenasii Sleumer, Clethra chiapensis L.M.González, Clethra consimilis Sleumer, Clethra conzattiana L.M.González, Clethra crispa Gust., Clethra cuneata Rusby, Clethra delavayi Franch., Clethra elongata Rusby, Clethra fabri Hance, Clethra fagifolia Kunth, Clethra fargesii Franch., Clethra ferruginea (Ruiz & Pav.) Link ex Spreng., Clethra fimbriata Kunth, Clethra formosa E.Alfaro & J.F.Morales, Clethra fragrans L.M.González & R.Delgad., Clethra galeottiana Briq., Clethra gelida Standl., Clethra guyanensis Klotzsch ex Meisn., Clethra hartwegii Britton, Clethra hendersonii Sleumer, Clethra hirsutovillosa S.Valencia & Cruz Durán, Clethra hondurensis Britton, Clethra javanica Turcz., Clethra kaipoensis H.Lév., Clethra kebarensis Sleumer, Clethra lanata M.Martens & Galeotti, Clethra licanioides Standl. & Steyerm., Clethra longispicata J.J.Sm., Clethra luzmariae L.M.González, Clethra macrophylla M.Martens & Galeotti, Clethra mexicana DC., Clethra obovata (Ruiz & Pav.) G.Don, Clethra occidentalis (L.) Kuntze, Clethra oleoides L.O.Williams, Clethra ovalifolia Turcz., Clethra pachecoana Standl. & Steyerm., Clethra pachyphylla Merr., Clethra papuana J.J.Sm., Clethra parallelinervia Gust., Clethra pedicellaris Turcz., Clethra peruviana Szyszyl., Clethra petelotii Dop & Troch.-Marq., Clethra poilanei Gagnep. ex Dop, Clethra pringlei S.Watson, Clethra pulgarensis Elmer, Clethra purpusii L.M.González, Clethra pyrogena Sleumer, Clethra repanda Turcz., Clethra retivenia Sleumer, Clethra revoluta (Ruiz & Pav.) Spreng., Clethra rosei Britton, Clethra rugosa Steyerm., Clethra scabra Pers., Clethra skutchii Standl. & Steyerm., Clethra sleumeriana K.S.Hao, Clethra suaveolens Turcz., Clethra sumatrana J.J.Sm., Clethra sumbawaensis Sleumer, Clethra talamancana C.W.Ham., Clethra tomentella Rolfe ex Dunn, Clethra tutensis C.W.Ham., Clethra tuxtlensis L.M.González, Clethra uleana Sleumer, Clethra vicentina Standl.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 37233 records from 591 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016360-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14658397
title: Real-time Greenhouse Gas Emission Intensity Informed Demand-Side Load Regulation for Power Grid Decarbonization

description: This repository contains the raw data, code, and results covered in the Real-time Greenhouse Gas Emission Intensity Informed Demand-Side Load Regulation for Power Grid article published in Cell Reports Sustainability.
DOI: 10.5281/zenodo.14658398
title: Real-time Greenhouse Gas Emission Intensity Informed Demand-Side Load Regulation for Power Grid Decarbonization

description: This repository contains the raw data, code, and results covered in the Real-time Greenhouse Gas Emission Intensity Informed Demand-Side Load Regulation for Power Grid article published in Cell Reports Sustainability.
DOI: 10.15468/dl.vkzv4g
title: Occurrence Download

description: A dataset containing 22700 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Royal BC Museum - Ornithology Collection"
 ]
}

 The dataset includes 22700 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016362-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxzxyk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Valdivia cururuensis Bott, 1969"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016363-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ecuxr
title: Occurrence Download

description: A dataset containing 2562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ceiba pentandra (L.) Gaertn.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 2562 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016365-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ghkk8
title: Occurrence Download

description: A dataset containing 35629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trema andersonii (Planch.) Byng & Christenh., Trema angustifolium (Planch.) Blume, Trema Lour., Trema cannabina Lour., Trema cubense Urb., Trema discolor (Brongn.) Blume, Trema domingense Urb., Trema lamarckianum (Roem. & Schult.) Blume, Trema levigatum Hand.-Mazz., Trema micranthum (L.) Blume, Trema nitidum C.J.Chen, Trema orientale (L.) Blume, Trema politoria (Wall. ex Planch.) Blume, Trema tomentosum (Roxb.) H.Hara)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35629 records from 705 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016364-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.19842.20163
title: Skript: Endokrinologie für Medizinische Studenten (Uni Leipzig 2011)
DOI: 10.13140/rg.2.2.23826.79045
title: Skript: VL Rechtsmedizin für Medizinische Studenten (Uni Leipzig WS 2011/2012)
DOI: 10.13140/rg.2.2.10863.76960
title: Millcreek Survey_ Vision Plan
DOI: 10.48579/pro/trx6vq
title: Herbicide-induced metabolic changes in a plant-aphid system: How soil bacteria drive the fate and impact of an environmental dose of Isoproturon

description: The intensification of agriculture, based on massive use of pesticides, led to the widespread contamination of terrestrial ecosystems. Although soil contaminations with pesticide residues have been demonstrated, their impacts on terrestrial biotic interactions remain unclear. To address this matter, we studied the effects of an environmental dose of a photosynthesis inhibitor herbicide (isoproturon) on an isoproturon-degrading soil bacteria-poacea-aphid system in the lab, mimicking below and aboveground interactions within buffer strips. We found that isoproturon and its main degradation product flow through this system, accumulating in plant shoots. No macroscopic effect of the herbicide was observed but metabolic shifts occurred in both plants (especially when exposed for a short time) and phytophages. Inoculation of isoproturon-degrading bacteria in the substrate suppressed most of these effects but some metabolic reshuffles in the longer run suggest secondary effects of Isoproturon degradation products. Moreover, inoculation of the non-degrading bacterial strain also impacted plant metabolism, underlying the close link between soil microbiota and aboveground organisms. This study shows that pesticide residues can transfer in terrestrial trophic networks, altering the physiology of each biological level, and highlights the importance of considering plant-bacteria interactions when assessing the response of semi-natural ecosystems to chronic contamination.
DOI: 10.13140/rg.2.2.16263.93600
title: RG - Achievement August 5th
DOI: 10.13140/rg.2.2.26933.19689
title: Bernet to APA (2018)
DOI: 10.13140/rg.2.2.29082.77768
title: CSS, PCS ESSAY COACHING WORKSHOP
DOI: 10.15156/bio/sh0755408.10fu
title: SH0755408.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0755409.10fu
title: SH0755409.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0755410.10fu
title: SH0755410.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0755411.10fu
title: SH0755411.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0755412.10fu
title: SH0755412.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.