cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6f9vbv
title: Occurrence Download

description: A dataset containing 18333761 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-74.65608 40.4443, -73.16275 40.4443, -73.16275 41.0192, -74.65608 41.0192, -74.65608 40.4443))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 18333761 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004150-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mp8hgp
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microcrocis dietelii"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004164-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9k9bz3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Borlogella multigaria Vologdin, 1962"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004165-241024112534372/datasets/export for details.
DOI: 10.15468/dl.uu6knw
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microcrocis geminata (Lagerh.) Geitler"
 ]
}

 The dataset includes 42 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004167-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfzkbp
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Borzia trilocularis Cohn ex Gomont"
 ]
}

 The dataset includes 45 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004168-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3bj7r
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microcrocis irregularis (Lagerh.) Geitler"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004169-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkyqfg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Botomaella zelenovi Korde, 1958"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004171-241024112534372/datasets/export for details.
DOI: 10.15468/dl.4u3heg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microcrocis marina (Lagerh.) Komárek & Anagn."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004172-241024112534372/datasets/export for details.
DOI: 10.6084/m9.figshare.26161853
title: Quantum and classical computational synergy for emerging contaminants management: Advanced insights into cytochrome P450 metabolic mechanisms

description: Computational toxicology provides the basis for the accurate assessment and prediction of toxic effects at the molecular level. However, classical computing often lacks speed and accuracy for complex chemical systems, leading to bottlenecks. The emergence of quantum computing has the potential to fundamentally break through these constraints, allowing the exploration of toxic effects from molecular initiation events (MIEs). This review prospects the application of quantum computing in environmental science. It provides a brief overview of classical computational chemistry and quantum computing, elucidating the quantitative mapping between these two approaches. Cytochrome P450 (CYP) enzymes, an important biomarker for monitoring and identifying environmental risks of pollutants, is taken as an example to summarize the progress of classical algorithms in explaining its metabolic mechanism. By comparing the required runtimes of quantum and classical computing approaches, the review highlights the potential quantum advantage in high-precision chemical simulations, especially in large-scale CYP model calculations. A hybrid quantum-classical strategy is specially developed for the practical workflow of quantum computing in environmental science. By means of the close collaboration between theory and experiment, it shows great potential in deeply understanding the environmental impact of emerging pollutants and designing relevant environmental monitoring programs. This review can provide valuable clues for future sustainable solutions. Through the effective synergy between quantum computing development and precision management of environmental pollution, it is expected to revolutionize the way we understand and mitigate the impacts of emerging pollutants.
DOI: 10.6084/m9.figshare.26124963
title: Insights into human exposure to microplastics through drinking water: Current state of the science

description: Drinking water is one of the primary sources of microplastic exposure in humans. However, the extent to which microplastics in drinking water contribute to overall human health remains unclear. The aim of this work is to assess the characteristics of microplastic contamination in bottled and tap water, explore and explain the geographical distribution of the selected studies, evaluate the extent of human exposure to microplastics, and suggest areas for future research. Based on the latest literature from 2018 to 2023 (<i>n</i> = 66), we quantified the constituent profiles of microplastics in drinking water and explored their global distribution heterogeneity. The outcomes showed that microplastics in drinking water mainly comprised polyethylene terephthalate, polyethylene, and polypropylene. Notably, small-sized microplastic fractions (&lt;300 μm) dominated all microplastics, often in the form of fragments and fibers. The average microplastic abundance in tap water was 62.38 particles/L, whereas in bottled water, it was 38.45 particles/L. The abundance of microplastics in drinking water varied globally from 0.0007 particles/L to 6,292 particles/L in Germany. Therefore, common consumers are estimated to ingest 175 particles/capita/day through drinking water. As expected, this review systematically provides scientific evidence for further high-quality research using standardized methods to increase the knowledge of microplastic exposure to humans through drinking water.
DOI: 10.6084/m9.figshare.26161853.v1
title: Quantum and classical computational synergy for emerging contaminants management: Advanced insights into cytochrome P450 metabolic mechanisms

description: Computational toxicology provides the basis for the accurate assessment and prediction of toxic effects at the molecular level. However, classical computing often lacks speed and accuracy for complex chemical systems, leading to bottlenecks. The emergence of quantum computing has the potential to fundamentally break through these constraints, allowing the exploration of toxic effects from molecular initiation events (MIEs). This review prospects the application of quantum computing in environmental science. It provides a brief overview of classical computational chemistry and quantum computing, elucidating the quantitative mapping between these two approaches. Cytochrome P450 (CYP) enzymes, an important biomarker for monitoring and identifying environmental risks of pollutants, is taken as an example to summarize the progress of classical algorithms in explaining its metabolic mechanism. By comparing the required runtimes of quantum and classical computing approaches, the review highlights the potential quantum advantage in high-precision chemical simulations, especially in large-scale CYP model calculations. A hybrid quantum-classical strategy is specially developed for the practical workflow of quantum computing in environmental science. By means of the close collaboration between theory and experiment, it shows great potential in deeply understanding the environmental impact of emerging pollutants and designing relevant environmental monitoring programs. This review can provide valuable clues for future sustainable solutions. Through the effective synergy between quantum computing development and precision management of environmental pollution, it is expected to revolutionize the way we understand and mitigate the impacts of emerging pollutants.
DOI: 10.6084/m9.figshare.26124963.v1
title: Insights into human exposure to microplastics through drinking water: Current state of the science

description: Drinking water is one of the primary sources of microplastic exposure in humans. However, the extent to which microplastics in drinking water contribute to overall human health remains unclear. The aim of this work is to assess the characteristics of microplastic contamination in bottled and tap water, explore and explain the geographical distribution of the selected studies, evaluate the extent of human exposure to microplastics, and suggest areas for future research. Based on the latest literature from 2018 to 2023 (<i>n</i> = 66), we quantified the constituent profiles of microplastics in drinking water and explored their global distribution heterogeneity. The outcomes showed that microplastics in drinking water mainly comprised polyethylene terephthalate, polyethylene, and polypropylene. Notably, small-sized microplastic fractions (&lt;300 μm) dominated all microplastics, often in the form of fragments and fibers. The average microplastic abundance in tap water was 62.38 particles/L, whereas in bottled water, it was 38.45 particles/L. The abundance of microplastics in drinking water varied globally from 0.0007 particles/L to 6,292 particles/L in Germany. Therefore, common consumers are estimated to ingest 175 particles/capita/day through drinking water. As expected, this review systematically provides scientific evidence for further high-quality research using standardized methods to increase the knowledge of microplastic exposure to humans through drinking water.
DOI: 10.15468/dl.uue7zx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachydactylus radialis Reis, 1923"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004173-241024112534372/datasets/export for details.
DOI: 10.15468/dl.m9zd7t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microcrocis pulchella (Buell) Geitler"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004174-241024112534372/datasets/export for details.
DOI: 10.15468/dl.5vdu2w
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachytrichia codii Setchell, 1926"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004175-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erkxuf
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microcrocis sabulicola (Lagerh.) Geitler"
 ]
}

 The dataset includes 31 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004176-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbac3h
title: Occurrence Download

description: A dataset containing 1142796 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Miridae"
 ]
}

 The dataset includes 1142796 records from 1576 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004163-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7dpwz
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sonneratia ovata Backer"
 ]
}

 The dataset includes 321 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000955-250121130708018/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.28253366
title: Data and R code_update.zip

description: Plant invasion has long been recognized as an important driver of species loss in ecological communities. However, projecting the impacts of non-native species on the coexistence potential of multi-species communities after invasion, as well as whether all species within the invaded communities will persist under random environmental perturbations remains a pressing challenge. Here, we conducted a pairwise experiment with five native and five non-native species to estimate the intra- and interspecific interaction coefficients using the Ricker model. We then evaluated how non-native species affect the persistence of invaded communities at both community and species levels through a structural approach. Specifically, we used interaction structures among species within a community to characterize its feasibility domain, which indicates the probability that all species can coexist simultaneously. We assessed this for all possible communities with varying numbers of non-native species, and calculated the exclusion probability for individual species. At the community level, we found that the community persistence generally showed a decreasing trend after non-native species invasion. Additionally, the feasibility domain became more asymmetric as more native species were replaced by non-native ones at most community richness levels, thereby reducing the long-term viability of those communities. At the species level, the non-native species will be excluded first in most communities if a strong perturbation took place. Our findings highlight the important role of clarifying the complex interaction patterns among non-native and native species in shaping community persistence, as well as the impact of non-native species on the potential of community persistence varies depending on the species composition of invaded communities. This provides valuable insights for invasion management, indicating that strategies should consider local environments and species compositions to optimize resource allocation, including human, material and financial resources.
DOI: 10.6084/m9.figshare.28253366.v1
title: 数据和 R code_update.zip

description: 植物入侵一直被认为是生态群落物种丧失的重要驱动因素。然而，预测非本地物种对入侵后多物种群落共存潜力的影响，以及被入侵群落内的所有物种是否会在随机环境扰动下持续存在仍然是一个紧迫的挑战。在这里，我们对 5 个本地物种和 5 个非本地物种进行了成对实验，以使用 Ricker 模型估计种内和种间交互系数。然后，我们评估了非本地物种如何通过结构方法在群落和物种水平上影响入侵群落的持久性。具体来说，我们使用群落内物种之间的相互作用结构来表征其可行性域，这表明所有物种可以同时共存的概率。我们评估了具有不同非本地物种数量的所有可能群落的这一点，并计算了单个物种的排除概率。在群落水平上，我们发现非本地物种入侵后群落持久性通常呈下降趋势。此外，可行性域变得更加不对称，因为在大多数群落丰富度水平上，更多的本地物种被非本地物种取代，从而降低了这些群落的长期生存能力。在物种水平上，如果发生强烈的扰动，非本地物种将首先在大多数群落中被排除在外。我们的研究结果强调了阐明非本地和本地物种之间的复杂相互作用模式在塑造群落持久性方面，以及非本地物种对群落持久性潜力的影响取决于入侵群落的物种组成。这为入侵管理提供了有价值的见解，表明策略应考虑当地环境和物种组成，以优化资源分配，包括人力、物质和财政资源。
DOI: 10.15468/dl.a2rv7a
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sonneratia apetala Buch.-Ham."
 ]
}

 The dataset includes 251 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000956-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/zixwtpreilqlac-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (isoquinolin-8-ol)
title: InChI=1S/C9H7NO/c11-9-3-1-2-7-4-5-10-6-8(7)9/h1-6,11H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/zixwtpreilqlac-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (isoquinolin-8-ol)
title: InChI=1S/C9H7NO/c11-9-3-1-2-7-4-5-10-6-8(7)9/h1-6,11H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/zixwtpreilqlac-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (isoquinolin-8-ol)
title: InChI=1S/C9H7NO/c11-9-3-1-2-7-4-5-10-6-8(7)9/h1-6,11H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/zixwtpreilqlac-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (isoquinolin-8-ol)
title: InChI=1S/C9H7NO/c11-9-3-1-2-7-4-5-10-6-8(7)9/h1-6,11H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/zixwtpreilqlac-uhfffaoysa-n/chmo0001148
title: 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) (isoquinolin-8-ol)
title: InChI=1S/C9H7NO/c11-9-3-1-2-7-4-5-10-6-8(7)9/h1-6,11H

description: dataset for 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
DOI: 10.15468/dl.kmf6jb
title: Occurrence Download

description: A dataset containing 1082 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sonneratia caseolaris (L.) Engl."
 ]
}

 The dataset includes 1082 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000957-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/zixwtpreilqlac-uhfffaoysa-n/chmo0001150
title: 1H--1H correlation spectroscopy (1H-1H COSY) (isoquinolin-8-ol)
title: InChI=1S/C9H7NO/c11-9-3-1-2-7-4-5-10-6-8(7)9/h1-6,11H

description: dataset for 1H--1H correlation spectroscopy (1H-1H COSY)
DOI: 10.14272/zixwtpreilqlac-uhfffaoysa-n.1
title: isoquinolin-8-ol
title: InChI=1S/C9H7NO/c11-9-3-1-2-7-4-5-10-6-8(7)9/h1-6,11H

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C9H7NO/c11-9-3-1-2-7-4-5-10-6-8(7)9/h1-6,11H, and canonical SMILES descriptor[cheminf_000007]: Oc1cccc2c1cncc2, and by the IUPAC name[cheminf_000107]: isoquinolin-8-ol.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-50289

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0001146 | 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0001150 | 1H--1H correlation spectroscopy (1H-1H COSY)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0001148 | 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/zixwtpreilqlac-uhfffaoysa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) (isoquinolin-8-ol)
title: InChI=1S/C9H7NO/c11-9-3-1-2-7-4-5-10-6-8(7)9/h1-6,11H

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.25375/uct.28248671
title: Location data of citizen sightings of Cape clawless otters on the Peninsula 2018-2023

description: Raw dataset of citizen sightings of Cape clawless otters on the Cape Peninsula, collated from Google forms, Instagram posts and comments, Facebook, TikTok, and WhatsApp. The dataset contains data from 2022 to 2023.
DOI: 10.25375/uct.28248671.v1
title: Location data of citizen sightings of Cape clawless otters on the Peninsula 2018-2023

description: Raw dataset of citizen sightings of Cape clawless otters on the Cape Peninsula, collated from Google forms, Instagram posts and comments, Facebook, TikTok, and WhatsApp. The dataset contains data from 2022 to 2023.
DOI: 10.15468/dl.zdb2d5
title: Occurrence Download

description: A dataset containing 9180 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perimyotis subflavus (F.Cuvier, 1832)"
 ]
}

 The dataset includes 9180 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000958-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vefka
title: Occurrence Download

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

 The dataset includes 34 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000959-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppjsnj
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sonneratia lanceolata Blume"
 ]
}

 The dataset includes 65 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000960-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rgqme
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tabebuia palustris Hemsl."
 ]
}

 The dataset includes 221 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000961-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.