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

description: A dataset containing 374390 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Coordinated Waterbird Counts"
 ]
}

 The dataset includes 374390 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030911-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12786600
title: ET and Environmental factors
DOI: 10.5281/zenodo.12786601
title: ET and Environmental factors
DOI: 10.5281/zenodo.12735419
title: Dataset for "Quantifying the Role of Electron Plateau Distribution on the Chorus Gap Formation Using One-dimension PIC Simulations" [Dataset]

description: Dataset for figures in the paper
DOI: 10.15468/dl.xr7p56
title: Occurrence Download

description: A dataset containing 72363 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ICN - Universidad Nacional de Colombia"
 ]
}

 The dataset includes 72363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030912-240626123714530/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.26339797
title: Examination of Spatial Distribution Patterns and Density Dependence in Three Forest Communities on Mt. Huangshan

description: The spatial distribution pattern of species is one of the crucial methods to understanding population structure regulation and the maintenance of forest species diversity. Stabilizing mechanisms promote species coexistence within communities through intraspecific negative density or distance-dependent mortality. Despite numerous studies confirming an overall clustered distribution pattern in forest communities, our understanding of the spatial distribution patterns of different mycorrhizal and life history plant species, as well as their potential altitudinal gradient patterns, remains limited. This study was conducted in three forest dynamics plots established along the altitudinal gradient of Mt. Huangshan (evergreen broad-leaved forest, evergreen deciduous broad-leaved mixed forest, and coniferous and broad-leaved mixed forest). We used the bivariate pair-correlation function <i>g(r)</i> to assess the spatial distribution patterns of different mycorrhizal and life history plant species within the community. Additionally, we employed a random-labelling null model in a case-control design to explore the role of density dependence on dominant and occasional species at different life history stages. The results revealed that the distribution patterns of species in three different vegetation types were inconsistent and influenced by habitat heterogeneity. Dominant species typically experienced density dependence at short distances (less than 5m). As the spatial scale increased, the probability of density dependence decreased. Our findings lay the groundwork for further investigation into the mechanisms maintaining subtropical secondary forest communities.
DOI: 10.6084/m9.figshare.26339797.v1
title: Examination of Spatial Distribution Patterns and Density Dependence in Three Forest Communities on Mt. Huangshan

description: The spatial distribution pattern of species is one of the crucial methods to understanding population structure regulation and the maintenance of forest species diversity. Stabilizing mechanisms promote species coexistence within communities through intraspecific negative density or distance-dependent mortality. Despite numerous studies confirming an overall clustered distribution pattern in forest communities, our understanding of the spatial distribution patterns of different mycorrhizal and life history plant species, as well as their potential altitudinal gradient patterns, remains limited. This study was conducted in three forest dynamics plots established along the altitudinal gradient of Mt. Huangshan (evergreen broad-leaved forest, evergreen deciduous broad-leaved mixed forest, and coniferous and broad-leaved mixed forest). We used the bivariate pair-correlation function <i>g(r)</i> to assess the spatial distribution patterns of different mycorrhizal and life history plant species within the community. Additionally, we employed a random-labelling null model in a case-control design to explore the role of density dependence on dominant and occasional species at different life history stages. The results revealed that the distribution patterns of species in three different vegetation types were inconsistent and influenced by habitat heterogeneity. Dominant species typically experienced density dependence at short distances (less than 5m). As the spatial scale increased, the probability of density dependence decreased. Our findings lay the groundwork for further investigation into the mechanisms maintaining subtropical secondary forest communities.
DOI: 10.15468/dl.42rkaj
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puma concolor concolor"
 ]
}

 The dataset includes 253 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030914-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vb34wq
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puma concolor concolor"
 ]
}

 The dataset includes 253 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030915-240626123714530/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.25697928
title: Genome annotated files for the reference genome of cashmere goat

description: Genome annotated files for the reference genome of cashmere goat(gff，pep，cds)
DOI: 10.15468/dl.z3f6ku
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "StateProvince is Loja",
 "TaxonKey is one of (Foeniculum vulgare Mill., Niphogeton dissecta (Benth.) J.F.Macbr., Orthosia ellemannii (Morillo) Liede & Meve, Gamochaeta americana (Mill.) Wedd., Matricaria recutita L., Sonchus oleraceus L., Tagetes filifolia Lag., Taraxacum officinale Weber ex F.H.Wigg.)"
 ]
}

 The dataset includes 245 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030916-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gtac6
title: Occurrence Download

description: A dataset containing 1038036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-05-24",
 "EventDate is less than or equal to 2024-06-23",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 1038036 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030913-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4jqtt
title: Occurrence Download

description: A dataset containing 827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus occidentalis Greene, 1858",
 "Year 2014-2024"
 ]
}

 The dataset includes 827 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030918-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vd36ss
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Agrocybe retigera (Speg.) Singer"
 ]
}

 The dataset includes 39 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030919-240626123714530/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.26339845
title: farmland size estimation in smallholder agriculture using edge counting and remote sensing

description: Accurate and timely information on farmland size is crucial for agricultural development, resource management, and other related fields. However, there is currently no mature method for estimating farmland scale in smallholder farming areas. This is due to the small size of farmland plots in these areas, which have unclear boundaries in medium and high-resolution satellite imagery, and irregular shapes that make it difficult to extract complete boundaries using morphological rules. Automatic farmland mapping algorithms using remote sensing data also perform poorly in small-scale farming areas. To address this issue, this study proposes a farmland size evaluation index based on edge frequency (ECR). The algorithm utilizes the high temporal resolution of Sentinel-2 satellite imagery to compensate for its spatial resolution limitations. First, all Sentinel-2 images from one year are used to calculate edge frequencies, which can divide farmland areas into low-value farmland interior regions, medium-value non-permanent edges, and high-value permanent edges (PE). Next, the Otsu's thresholding algorithm is iteratively applied twice to the edge frequencies to first extract edges and then permanent edges. The ratio of PE to cropland (ECR) is then calculated. Using the North China Plain and Northeast China Plain as study areas, and comparing with existing farmland scale datasets, the appropriate estimation radius for ECR was determined to be 1600m. The study found that the peak ECR value for the Northeast China Plain was 0.085, and the peak value for the North China Plain was 0.105. The overall distribution was consistent with the reference dataset.
DOI: 10.6084/m9.figshare.26339845.v1
title: farmland size estimation in smallholder agriculture using edge counting and remote sensing

description: Accurate and timely information on farmland size is crucial for agricultural development, resource management, and other related fields. However, there is currently no mature method for estimating farmland scale in smallholder farming areas. This is due to the small size of farmland plots in these areas, which have unclear boundaries in medium and high-resolution satellite imagery, and irregular shapes that make it difficult to extract complete boundaries using morphological rules. Automatic farmland mapping algorithms using remote sensing data also perform poorly in small-scale farming areas. To address this issue, this study proposes a farmland size evaluation index based on edge frequency (ECR). The algorithm utilizes the high temporal resolution of Sentinel-2 satellite imagery to compensate for its spatial resolution limitations. First, all Sentinel-2 images from one year are used to calculate edge frequencies, which can divide farmland areas into low-value farmland interior regions, medium-value non-permanent edges, and high-value permanent edges (PE). Next, the Otsu's thresholding algorithm is iteratively applied twice to the edge frequencies to first extract edges and then permanent edges. The ratio of PE to cropland (ECR) is then calculated. Using the North China Plain and Northeast China Plain as study areas, and comparing with existing farmland scale datasets, the appropriate estimation radius for ECR was determined to be 1600m. The study found that the peak ECR value for the Northeast China Plain was 0.085, and the peak value for the North China Plain was 0.105. The overall distribution was consistent with the reference dataset.
DOI: 10.5281/zenodo.12786666
title: DataSet_Trust
DOI: 10.5281/zenodo.12786667
title: DataSet_Trust
DOI: 10.15468/dl.syfjj2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Penicilliopsis clavariiformis Solms"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030920-240626123714530/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.26339858
title: Additional file 1 of Time-series metagenomics reveals changing protistan ecology of a temperate dimictic lake

description: Additional file 1:  Supplementary Figures and Tables [120–152].
DOI: 10.6084/m9.figshare.26339858.v1
title: Additional file 1 of Time-series metagenomics reveals changing protistan ecology of a temperate dimictic lake

description: Additional file 1:  Supplementary Figures and Tables [120–152].
DOI: 10.5281/zenodo.12786660
title: Production costs and their effect on the profitability of the SMES in Latin America

description: The micro, small and medium-sized enterprises (SMEs) play a pivotal role in the Latin America economy, creating jobs, boosting local economic activity and contribute to the socio-economic development of the region. The purpose is to reflect on the current costs management prices, the common challenges faced by SMEs in the region, and effective strategies to improve the profitability and sustainability of these companies.
DOI: 10.15468/dl.yw4svq
title: Occurrence Download

description: A dataset containing 213665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-06-24",
 "EventDate is less than or equal to 2024-07-24",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 213665 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030917-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc21637m
title: CCDC 1882699: Experimental Crystal Structure Determination

description: Related Article: Elena Lalinde,  Teresa Moreno,  Nora Giménez,  Rebeca Lara|2019|Chem.-Eur.J.|25|5514|doi:10.1002/chem.201806240
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2163cr
title: CCDC 1882703: Experimental Crystal Structure Determination

description: Related Article: Elena Lalinde,  Teresa Moreno,  Nora Giménez,  Rebeca Lara|2019|Chem.-Eur.J.|25|5514|doi:10.1002/chem.201806240
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21638n
title: CCDC 1882700: Experimental Crystal Structure Determination

description: Related Article: Elena Lalinde,  Teresa Moreno,  Nora Giménez,  Rebeca Lara|2019|Chem.-Eur.J.|25|5514|doi:10.1002/chem.201806240
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2163ds
title: CCDC 1882704: Experimental Crystal Structure Determination

description: Related Article: Elena Lalinde,  Teresa Moreno,  Nora Giménez,  Rebeca Lara|2019|Chem.-Eur.J.|25|5514|doi:10.1002/chem.201806240
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21bsqx
title: CCDC 1887209: Experimental Crystal Structure Determination

description: Related Article: Huili Ma, Kang Shen, Yipei Wu, Fang Xia, Feiling Yu, Zhengyi Sun, Chunyue Qian, Qiming Peng, Hong-Hai Zhang, Cong You, Guohua Xie, Xiao-Chun Hang, Wei Huang|2019|Mater. Chem. Front.|3|2448|doi:10.1039/C9QM00347A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21d01j
title: CCDC 1888366: Experimental Crystal Structure Determination

description: Related Article: Samya Banerjee, Miles Capper, Guy J. Clarkson, Huaiyi Huang, Peter J. Sadler|2019|Polyhedron|172|157|doi:10.1016/j.poly.2019.04.024
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21d02k
title: CCDC 1888367: Experimental Crystal Structure Determination

description: Related Article: Samya Banerjee, Miles Capper, Guy J. Clarkson, Huaiyi Huang, Peter J. Sadler|2019|Polyhedron|172|157|doi:10.1016/j.poly.2019.04.024
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21ftt4
title: CCDC 1890126: Experimental Crystal Structure Determination

description: Related Article: Jeanette A. Krause, Stephen D. Taylor, William B. Connick|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21ftv5
title: CCDC 1890127: Experimental Crystal Structure Determination

description: Related Article: Jeanette A. Krause, Stephen D. Taylor, Chelsea Gerken, William B. Connick|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21ftw6
title: CCDC 1890128: Experimental Crystal Structure Determination

description: Related Article: Jeanette A. Krause, Vikas M. Shingade, William B. Connick|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21g4wk
title: CCDC 1890438: Experimental Crystal Structure Determination

description: Related Article: Richard Puddephatt|2019|CSD Communication|||
description: Related Article: Anwar Abo-Amer,  Paul D. Boyle,  Richard J. Puddephatt|2020|Inorg.Chim.Acta|507|119580|doi:10.1016/j.ica.2020.119580
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21g4ym
title: CCDC 1890440: Experimental Crystal Structure Determination

description: Related Article: Richard Puddephatt|2019|CSD Communication|||
description: Related Article: Anwar Abo-Amer,  Paul D. Boyle,  Richard J. Puddephatt|2020|Inorg.Chim.Acta|507|119580|doi:10.1016/j.ica.2020.119580
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21krp2
title: CCDC 1893904: Experimental Crystal Structure Determination

description: Related Article: P. Keegan Rose, Noah H. Watkins, Xiyuan Yao, Shenjie Zhang, Ikeer Y. Mancera-Ortiz, John T. Sloop, George L. Donati, Cynthia S. Day, Ulrich Bierbach|2019|Inorg.Chim.Acta|492|150|doi:10.1016/j.ica.2019.04.030
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.