cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.b3pt6p
title: Occurrence Download

description: A dataset containing 685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyornis hoevelli)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 685 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091412-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwzegh
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyornis herioti)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 134 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091413-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77zwu9
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neslia paniculata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091414-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.by5nfb
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heliotropium indicum",
 "Country is Malaysia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091415-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqzpjp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coffea liberica",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091418-250717081556266/datasets/export for details.
DOI: 10.15468/dl.xxquah
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heliotropium indicum",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091416-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7f6bc
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gliricidia sepium",
 "Country is Guyana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091417-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64c2th
title: Occurrence Download

description: A dataset containing 13346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Roeboides dayi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 13346 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091419-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mkfnm
title: Occurrence Download

description: A dataset containing 988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyornis lemprieri)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 988 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091421-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahv3fe
title: Occurrence Download

description: A dataset containing 1000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyornis hyacinthinus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1000 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091420-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pss53
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyornis nicobaricus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 66 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091422-250717081556266/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.29804729
title: <b>Quantitative Evaluation of the Temporal Effects of Herbal drugs on Weight Loss: A Model-Based Meta-Analysis</b>

description: Abstract<b>Background:</b><b> </b>The global obesity crisis demands effective and accessible weight management solutions. While herbal medicines are popular, their efficacy remains unclear due to the limitations of traditional meta-analyses relying on static endpoints. This study aimed to provide a dynamic evaluation of the time-course of weight loss for various natural products.<br><b>Methods:</b> A systematic review of PubMed and Embase identified randomized, placebo-controlled trials of herbal products for weight loss in overweight or obese adults. A model-based meta-analysis (MBMA) using an E<sub>max</sub> model quantified the placebo-subtracted weight-loss effects over time, with simulated Orlistat (60 mg) as a reference comparator.<br><b>Results:</b><b> </b>From 58 eligible studies (3,259 subjects), only tea (Camellia sinensis) and Ephedra-containing medications provided sufficient data for robust modeling. The model estimated a time to 50% maximal effect (ET<sub>50</sub>) of 5.2 weeks. The maximum weight loss (E<sub>max</sub>) was -0.71 kg (95% CI: -1.04, -0.11) for tea and -3.33 kg (95% CI: -3.68, -1.81) for Ephedra. At 24 weeks, the typical effect of Ephedra (-2.73 kg) surpassed that of simulated Orlistat (-1.86 kg), while tea's effect was inferior.<br><b>Conclusion:</b><b> </b>This MBMA quantified the modest weight-loss effect of tea and found that while the efficacy of Ephedra is comparable to that of Orlistat, its established safety risks preclude its clinical application. However, the evidence for most other herbal agents is low quality and lacks longitudinal data for definitive assessment, underscoring an urgent need for higher-quality trials.
DOI: 10.6084/m9.figshare.29804729.v1
title: <b>Quantitative Evaluation of the Temporal Effects of Herbal drugs on Weight Loss: A Model-Based Meta-Analysis</b>

description: Abstract<b>Background:</b><b> </b>The global obesity crisis demands effective and accessible weight management solutions. While herbal medicines are popular, their efficacy remains unclear due to the limitations of traditional meta-analyses relying on static endpoints. This study aimed to provide a dynamic evaluation of the time-course of weight loss for various natural products.<br><b>Methods:</b> A systematic review of PubMed and Embase identified randomized, placebo-controlled trials of herbal products for weight loss in overweight or obese adults. A model-based meta-analysis (MBMA) using an E<sub>max</sub> model quantified the placebo-subtracted weight-loss effects over time, with simulated Orlistat (60 mg) as a reference comparator.<br><b>Results:</b><b> </b>From 58 eligible studies (3,259 subjects), only tea (Camellia sinensis) and Ephedra-containing medications provided sufficient data for robust modeling. The model estimated a time to 50% maximal effect (ET<sub>50</sub>) of 5.2 weeks. The maximum weight loss (E<sub>max</sub>) was -0.71 kg (95% CI: -1.04, -0.11) for tea and -3.33 kg (95% CI: -3.68, -1.81) for Ephedra. At 24 weeks, the typical effect of Ephedra (-2.73 kg) surpassed that of simulated Orlistat (-1.86 kg), while tea's effect was inferior.<br><b>Conclusion:</b><b> </b>This MBMA quantified the modest weight-loss effect of tea and found that while the efficacy of Ephedra is comparable to that of Orlistat, its established safety risks preclude its clinical application. However, the evidence for most other herbal agents is low quality and lacks longitudinal data for definitive assessment, underscoring an urgent need for higher-quality trials.
DOI: 10.15468/dl.hjpes3
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coffea liberica",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091423-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4vzew
title: Occurrence Download

description: A dataset containing 5432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raphanus raphanistrum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5432 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091424-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1887234.10fu
title: SH1887234.10FU

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/sh1887243.10fu
title: SH1887243.10FU

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/sh1887296.10fu
title: SH1887296.10FU

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: 10.5281/zenodo.18233607
title: MAKTAB RAHBARLARINING LIDERLIK KO'NIKMALARINI RIVOJLANTIRISH USULLARI

description: Ushbu maqolada maktab rahbarlarining bugungi kunda boshqaruv sohasidagi sifatni oshirish, maktablarda o‘z ledirligini amaliyotda qo‘llab qo‘l ostidagi o‘qituvchi va o‘quvchilarga o‘rnak bo‘lish usullari keng yoritilgan. Har bir ledirga tegishli bo‘lgan xususiyatlar va ularning mazmun-mohiyati va dunyoda bu sohani yanada rivojlantirish uchun ishlab chiqilgan strategiyalar yoritib o‘tilgan.
DOI: 10.15156/bio/sh1887301.10fu
title: SH1887301.10FU

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: 10.5281/zenodo.18233606
title: MAKTAB RAHBARLARINING LIDERLIK KO'NIKMALARINI RIVOJLANTIRISH USULLARI

description: Ushbu maqolada maktab rahbarlarining bugungi kunda boshqaruv sohasidagi sifatni oshirish, maktablarda o‘z ledirligini amaliyotda qo‘llab qo‘l ostidagi o‘qituvchi va o‘quvchilarga o‘rnak bo‘lish usullari keng yoritilgan. Har bir ledirga tegishli bo‘lgan xususiyatlar va ularning mazmun-mohiyati va dunyoda bu sohani yanada rivojlantirish uchun ishlab chiqilgan strategiyalar yoritib o‘tilgan.
DOI: 10.15156/bio/sh1887312.10fu
title: SH1887312.10FU

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: 10.60712/si-id213637.1
title: StrainInfo SI-ID 213637.1

description: StrainInfo dataset 213637 about a strain of Bacillus thuringiensis. 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-id213488.1
title: StrainInfo SI-ID 213488.1

description: StrainInfo dataset 213488 about a strain of Xanthomonas vasicola. 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-id213489.1
title: StrainInfo SI-ID 213489.1

description: StrainInfo dataset 213489 about a strain of Rhizopus arrhizus. 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-id213490.1
title: StrainInfo SI-ID 213490.1

description: StrainInfo dataset 213490 about a strain of Hanseniaspora uvarum. 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-id213491.1
title: StrainInfo SI-ID 213491.1

description: StrainInfo dataset 213491 about a strain of Kluyveromyces marxianus. 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-id213563.1
title: StrainInfo SI-ID 213563.1

description: StrainInfo dataset 213563 about a strain of Escherichia coli. 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-id213564.1
title: StrainInfo SI-ID 213564.1

description: StrainInfo dataset 213564 about a strain of Escherichia coli. 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-id213565.1
title: StrainInfo SI-ID 213565.1

description: StrainInfo dataset 213565 about a strain of Streptomyces violaceus. 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-id213566.1
title: StrainInfo SI-ID 213566.1

description: StrainInfo dataset 213566 about a strain of Trichoderma reesei. 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-id213638.1
title: StrainInfo SI-ID 213638.1

description: StrainInfo dataset 213638 about a strain of Bacillus thuringiensis. 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-id213639.1
title: StrainInfo SI-ID 213639.1

description: StrainInfo dataset 213639 about a strain of Bacillus subtilis. 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-id213640.1
title: StrainInfo SI-ID 213640.1

description: StrainInfo dataset 213640 about a strain of Bacillus subtilis. 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-id213641.1
title: StrainInfo SI-ID 213641.1

description: StrainInfo dataset 213641 about a strain of Fusarium oxysporum. 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-id213493.1
title: StrainInfo SI-ID 213493.1

description: StrainInfo dataset 213493 about a strain of Lactobacillus acidophilus. 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-id213494.1
title: StrainInfo SI-ID 213494.1

description: StrainInfo dataset 213494 about a strain of Candida dendrica. 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-id213495.1
title: StrainInfo SI-ID 213495.1

description: StrainInfo dataset 213495 about a strain of Thielaviopsis radicicola. 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-id213496.1
title: StrainInfo SI-ID 213496.1

description: StrainInfo dataset 213496 about a strain of Cephalotrichum microsporum. 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-id213567.1
title: StrainInfo SI-ID 213567.1

description: StrainInfo dataset 213567 about a strain of Xanthomonas campestris. 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.