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

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010877-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6gket
title: Occurrence Download

description: A dataset containing 2195386802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2195386802 records from 49618 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068271-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/qhq0p4
title: 0312.wav

description: :unav
DOI: 10.60600/yu/clawet/4zcllk
title: 0549.TextGrid

description: :unav
DOI: 10.15468/dl.8kgjq5
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Europe)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Limonium tenellum (Turcz.) Kuntze"
 ]
}

 The dataset includes 45 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090831-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwcwpe
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paederia farinosa subsp. farinosa)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 110 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090830-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/lhl49i
title: 0318.TextGrid

description: :unav
DOI: 10.15468/dl.zg6arx
title: Occurrence Download

description: A dataset containing 43845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex binervis Sm.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43845 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090829-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rh8fcb
title: Occurrence Download

description: A dataset containing 1012095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((92 32,109 32,109 43,92 43,92 32))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1012095 records from 711 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090775-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/tntenv
title: 0490.wav

description: :unav
DOI: 10.15468/dl.jm6t6m
title: Occurrence Download

description: A dataset listing the 117 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Additional fish species occurrence records for Uganda"
 ]
}

 The dataset's 117 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090815-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/pxodku
title: 0381.TextGrid

description: :unav
DOI: 10.5281/zenodo.10784615
title: Optimized atomic coordinates of CO covered Ru(0001) at high coverage

description: Optimized atomic coordinates of CO covered Ru(0001) from VASP calculations.
DOI: 10.5281/zenodo.10784616
title: Optimized atomic coordinates of CO covered Ru(0001) at high coverage

description: Optimized atomic coordinates of CO covered Ru(0001) from VASP calculations.
DOI: 10.5281/zenodo.12509434
title: Random Hierarchy Model

description: Code for the paper "How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model", preprint available here: arXiv:2307.02129.
DOI: 10.60600/yu/clawet/ydyrdc
title: 0274.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/lnol8o
title: 0429.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/o7fqf8
title: 0288.wav

description: :unav
DOI: 10.60600/yu/clawet/xbjxbk
title: 0363.TextGrid

description: :unav
DOI: 10.15468/dl.bsxupv
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scarabaeus radama Fairmaire, 1895"
 ]
}

 The dataset includes 83 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090834-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7h4aj
title: Occurrence Download

description: A dataset containing 1014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leucaena leucocephala subsp. leucocephala)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1014 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090833-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8edujd
title: Occurrence Download

description: A dataset containing 2577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex swanii (Fernald) Mack.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2577 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090835-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/v7viwl
title: 0422.wav

description: :unav
DOI: 10.60600/yu/clawet/nypqzo
title: 0327.wav

description: :unav
DOI: 10.6084/m9.figshare.26090161
title: Supplementary Tables：Comparison between diabetes group and non-diabetes group in 104 TIO patients. characteristics and OGTT in TIO，Type 2 DM and NGT patients

description: Supplementary Tables：Comparison between diabetes group and non-diabetes group in 104 TIO patients. characteristics and OGTT in TIO，Type 2 DM and NGT patients
DOI: 10.6084/m9.figshare.26090161.v1
title: Supplementary Tables：Comparison between diabetes group and non-diabetes group in 104 TIO patients. characteristics and OGTT in TIO，Type 2 DM and NGT patients

description: Supplementary Tables：Comparison between diabetes group and non-diabetes group in 104 TIO patients. characteristics and OGTT in TIO，Type 2 DM and NGT patients
DOI: 10.60600/yu/clawet/mwxlzg
title: 0516.wav

description: :unav
DOI: 10.15468/dl.cwtggv
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bauhinia variegata var. variegata)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090837-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6tsjx
title: Occurrence Download

description: A dataset containing 11162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cornus kousa Bürger ex Hance"
 ]
}

 The dataset includes 11162 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090836-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/5okyho
title: 0168.TextGrid

description: :unav
DOI: 10.15468/dl.9wns3g
title: Occurrence Download

description: A dataset containing 1428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex cruciata Wahlenb.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1428 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090838-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/ghvug3
title: 0304.TextGrid

description: :unav
DOI: 10.18112/openneuro.ds005234.v2.1.3
title: Perception of vowel sounds in children with autism spectrum disorders and typically developing children (MEG/ERF study)
DOI: 10.60600/yu/clawet/4gdx1k
title: 0375.TextGrid

description: :unav
DOI: 10.5281/zenodo.11312332
title: Exploring Tubulin-Paclitaxel Binding Modes through Extensive Molecular Dynamics Simulations

description: Molecular dynamics trajectories and reference structures:



3j6g.zip

6ew0.zip

5syf.zip

5syf_restr.zip - the 5syf system with positional restraints


topologies.zip - molecular dynamics topologies and starting conformations

clusters.zip - representative structures of identified clusters (centeral structure, structure with minimal energy, structure with the energy decomposition in the B-factor)
DOI: 10.5281/zenodo.7926668
title: Supplementary Data Chapter 5

description: Supplementary data for Chapter 5 of Julian Andres Paganini PhD Thesis
DOI: 10.60600/yu/clawet/2cazhj
title: 0296.wav

description: :unav
DOI: 10.15468/dl.477gkk
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is one of (BRA.8.54_2, BRA.8.3_2)",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 488 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090839-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/6ftgif
title: 0238.wav

description: :unav
DOI: 10.15468/dl.s54d9s
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron kiusianum Makino"
 ]
}

 The dataset includes 437 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090841-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/i025lz
title: Bureauonderzoek en Verkennend en Karterend Booronderzoek Archeologie Plangebied hoek Xenonstraat en Argonstraat te Wehl, gemeente Doetinchem
title: Plangebied hoek Xenonstraat en Argonstraat te Wehl, gemeente Doetinchem

description: Hamaland Advies heeft in opdracht van Voortman Design & Build een archeologisch onderzoek uitgevoerd voor de nieuwbouw van een bedrijfspand. Het plangebied ligt grotendeels op een weiland aan de noordzijde van bedrijvenpark A18 en wordt begrensd door de Xenonstraat in het zuiden en de Argonstraat in het westen. In het midden wordt het plangebied doorsneden door de Kemnadeweg. Ten tijde van het archeologisch onderzoek was in het zuidwesten van het plangebied een COVID-testlocatie van de GGD gevestigd (Argonstraat 4). Het plangebied heeft een oppervlakte van circa 41.400 m2 (4,1 ha). Het bedrijfspand is circa 96 tot 240,5 m lang en circa 57,5 tot 164 m breed (totale omvang circa 24.440 m2 / 2,4 ha). De verstoringsdiepte voor de aanleg van funderingen is onbekend. Voor het onderzoek wordt uitgegaan van een bodemverstoring van minstens 80 cm-mv (vorstvrijefunderingen). De zuidelijke productiehal (circa 8.600 m2) zal 60 cm dieper worden aangelegd dan de rest van het bedrijfspand.
DOI: 10.17026/ar/lc5eeo
title: Bureauonderzoek en Verkennend Booronderzoek Archeologie Plangebied Fokkenkamp te Wehl, gemeente Doetinchem
title: Plangebied Fokkenkamp te Wehl, gemeente Doetinchem

description: Hamaland Advies heeft in opdracht van de Gemeente Doetinchem een archeologisch onderzoek uitgevoerd voor de ontwikkeling van plangebied de Fokkenkamp te Wehl. In het plangebied wordt de agrarische functie omgevormd tot woongebied. Het plangebied ligt in de driehoek tussen de de Doesburgseweg, Fokkenkamseweg en Broekhuizerweg in het noorden van Wehl. Het plangebied heeft een oppervlakte van 29.894 m2 (2,9 ha) De bodemverstoring ten behoeve van de funderingen is nog niet bekend, maar zal vanwege de vorstvrije fundering zo’n circa 80 cm-mv bedragen. De aanleg van kabels- en leidingen en riolering zal dieper gaan dan 2,00 m-mv.
DOI: 10.17026/ar/gcxvp0
title: Bureauonderzoek en Karterend Booronderzoek Archeologie Plangebied Doetinchemseweg 11 te Wehl, gemeente Doetinchem
title: Plangebied Doetinchemseweg 11 te Wehl, gemeente Doetinchem

description: Hamaland Advies heeft in opdracht van Italiaander Bouwkundig Ontwerpbureau een archeologisch onderzoek uitgevoerd voor de sloop en nieuwbouw van een woning met bijgebouw aan de Doetinchemseweg 11 te Wehl, gemeente Doetinchem. Het plangebied heeft een oppervlakte van circa 3.190 m2. Binnen het plangebied zal alleen in het centraal-zuidelijke deel gesloopt en gebouwd worden. Het onderzoeksgebied heeft daarom een oppervlakte van circa 1.410 m². Onder het grootste deel van de nieuw te bouwen woning zal een kruipruimte gerealiseerd worden tot circa 125 cm-mv.
DOI: 10.15468/dl.ah5f8h
title: Occurrence Download

description: A dataset containing 7501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Geometry POLYGON((112.55303 21.79351,114.64461 21.79351,114.64461 23.87585,112.55303 23.87585,112.55303 21.79351))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Platalea minor"
 ]
}

 The dataset includes 7501 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011070-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4yvkj
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ochna apetala"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011072-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hp7y2s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monoplacophora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-120 -60,-90 -60,-90 -30,-120 -30,-120 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012326-251009101135966/datasets/export for details.
DOI: 10.6084/m9.figshare.30156911
title: Application and challenges of machine learning in microbial remediation: A review of current status and future directions

description: Microbial remediation is crucial in environmental pollution control. However, targeted intervention is challenging due to the complex and dynamic interactions between microbial communities and external stressors. Machine learning (ML) can be used to deeply analyze the connections between microbial processes and contaminant removal through data mining. Microbial remediation lies at the intersection of microbiology and environmental science, with its diverse scope offering high flexibility for ML applications. Despite the potential of ML, limited attention has been given to its applications within this specific field, and there is a lack of structured reviews to guide the development of ML frameworks in microbial remediation. This review examines the role and current status of ML in microbial remediation. Application modes are presented and compared with a clear hierarchy, including initial monitoring, strategy formulation, and system design. It provides access to established frameworks and alternative solutions to address relevant challenges. Two primary application modes are identified among the seemingly diverse approaches: mapping-based inference and importance-based identification of key agents. The first mode establishes a mapping between two causally linked datasets to predict various outcomes such as remedial effects and microbial growth. Accordingly, the second mode identifies predictors that significantly contribute to mapping accuracies as key microbes or environmental variables. Emerging issues related to the limited accessibility and interpretability are discussed. Finally, using multi-modal learning for pipeline development and applying knowledge graphs (KGs) and a deep reinforcement learning framework to enhance interpretability are proposed as promising solutions.
DOI: 10.6084/m9.figshare.30156911.v1
title: Application and challenges of machine learning in microbial remediation: A review of current status and future directions

description: Microbial remediation is crucial in environmental pollution control. However, targeted intervention is challenging due to the complex and dynamic interactions between microbial communities and external stressors. Machine learning (ML) can be used to deeply analyze the connections between microbial processes and contaminant removal through data mining. Microbial remediation lies at the intersection of microbiology and environmental science, with its diverse scope offering high flexibility for ML applications. Despite the potential of ML, limited attention has been given to its applications within this specific field, and there is a lack of structured reviews to guide the development of ML frameworks in microbial remediation. This review examines the role and current status of ML in microbial remediation. Application modes are presented and compared with a clear hierarchy, including initial monitoring, strategy formulation, and system design. It provides access to established frameworks and alternative solutions to address relevant challenges. Two primary application modes are identified among the seemingly diverse approaches: mapping-based inference and importance-based identification of key agents. The first mode establishes a mapping between two causally linked datasets to predict various outcomes such as remedial effects and microbial growth. Accordingly, the second mode identifies predictors that significantly contribute to mapping accuracies as key microbes or environmental variables. Emerging issues related to the limited accessibility and interpretability are discussed. Finally, using multi-modal learning for pipeline development and applying knowledge graphs (KGs) and a deep reinforcement learning framework to enhance interpretability are proposed as promising solutions.
DOI: 10.15468/dl.e9sp49
title: Occurrence Download

description: A dataset containing 281930 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater fish of the Netherlands, 1800-2019"
 ]
}

 The dataset includes 281930 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012307-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zbbwc
title: Occurrence Download

description: A dataset containing 9944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bivalvia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 -60,-60 -60,-60 -30,-90 -30,-90 -60))"
 ]
}

 The dataset includes 9944 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012325-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s398ztrk85.1
title: Monitoramento e avaliação das ações da equipe do Consultório na Rua (eCR) do município de Suzano – São Paulo: proposição de diretrizes in-tra e intersetoriais.

description: A natureza deste projeto é Política em execução (PEX), financiado pela FAPESP sob número 2023/09191-5, ciência rápida de monitoramento e avaliação das ações da equipe do Consultório na Rua (eCR) do município de Suzano - São Paulo. O Consultó-rio na Rua é uma estratégia da Atenção Básica em benefício da vida que surgiu no Brasil na década de 1990, como uma resposta às demandas de saúde da população em situação de rua. Como estratégia da Política Nacional de Atenção Básica (PNAB), a equipe de Consultório na Rua (eCR) busca levar os serviços de saúde à essa população vulnerável, que muitas vezes enfrentam dificuldades de acesso aos serviços de saúde convencionais1,2. Objetivos: Identificar se a modalidade atual está adequada às ca-racterísticas da população a ser atendida; Fazer um levantamento das necessidades na respectiva popu-lação e também dos trabalhadores de saúde envolvidos no eCR, de Saúde Bucal e do Núcleos de Apoio à Saúde da Família (NASF) do território e serviços de referência onde essas pessoas estão concentradas; Analisar a produção de cuidados primários à saúde da população em situação de rua, prestados pela equipe do Consultório na Rua (eCR) de Suzano; Identificar potencialidades e dificulda-des, caracterizando arranjos e ações de coordenação do cuidado desenvolvidos, com o intuito de apre-sentar o panorama de análise sobre o processo de trabalho nos modelos de organização do acesso; descrever as atividades realizadas pelos profissionais, a satisfação dos usuários, o equilíbrio ou dese-quilíbrio da oferta e da demanda, rompendo barreiras do acolhimento e ampliando o alcance dos servi-ços de saúde.
DOI: 10.3535/4ap-x24-9bv
title: Scopolia japonica Maxim.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/j76-t18-ta1
title: Sloanea synandra Spruce ex Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pbl-3l3-114
title: Arenaria serpyllifolia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pd4-jf1-vtr
title: Uncaria rhynchophylla (Miq.) Miq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/amh-her-4ct
title: Vicia sativa subsp. nigra Ehrh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fhk-jn9-vxz
title: Arabidopsis halleri subsp. gemmifera (Matsum.) O'Kane & Al-Shehbaz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0dd-rzk-v5r
title: Prunus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q44-03v-vs9
title: Erysimum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.