cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28736726
title: <b>Overpopulation Update</b>

description: Environmental degradation is proportional to the number of humans. Despite a general decrease in birth rates, the global population continues to grow. The tendencies of decrease are insufficient to achieve sustainability within a realistic time frame. High fertility is used for geopolitical advance and should be counteracted. In countries with insufficiently observed human rights, de facto reproductive coercion is used for birth rate elevation. International conflicts are motives to boost fertility, since the military needs young people. Birth control has been rejected in some countries on the grounds of presumed national interests, such as stronger defences and sovereignty, which can be bolstered by demographic growth. Smouldering international conflicts contribute to birth rate elevation in some regions. Of note, durable peace is needed to accomplish large environment protection initiatives, in particular, nuclear, thermonuclear, hydroelectric power plants, and other energy sources instead of oil and coal. Notwithstanding the prospects of cheaper and cleaner energy, there is currently no solution to a decline in regional and global populations. It seems to be inevitable that the global human population will become reduced during the present century. How this happens may be to some extent within our control. It will not remain so indefinitely.
DOI: 10.15468/dl.295cty
title: Occurrence Download

description: A dataset containing 1015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ancistrocerus catskill (de Saussure, 1853)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1015 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006629-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w92n3g
title: Occurrence Download

description: A dataset containing 623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pediopsis tiliae (Germar, 1831)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 623 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006630-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15209349
title: Hawkesbury-Nepean River Phytoplankton and Water Quality Data (2006 - 2018)

description: This dataset package provides long-term monitoring data of phytoplankton communities and water quality from the Hawkesbury-Nepean River, Sydney, Australia. Collected and analysed by the Sydney Water Corporation (SWC) as part of an ongoing ecological monitoring program, the data cover 13 sites along the river over a 13-year period (2006–2018).

The phytoplankton dataset captures spatial and temporal variations in community composition, enabling analysis of distribution patterns and responses to environmental change. Each record (row) in the dataset includes the calendar date of sampling, phytoplankton genus/species name, associated taxonomic group, site code, and quantitative measures of cell abundance (cells/mL) and biovolume (mm³/L). The data are provided in a CSV (comma-separated values) format with file name: Data_HN_Phytoplankton_SWC_13_3_2025.csv

The water quality dataset provides key physicochemical parameters essential for river management. The measured variables are total phosphorus (TP, mg/L), total nitrogen (TN, mg/L), salinity (SAL, psu), temperature (TEMP, °C), ammonium (AMM, mg/L), nitrate (NIT, mg/L), phosphate (FRP, mg/L), silica (SIL, mg/L), turbidity (TURBIDITY, NTU), and total chlorophyll-a (CHLA, μg/L). Each record (row) in the dataset includes the date of sampling, concentration of the water quality variables, and site code. The data are provided in a CSV (comma-separated values) format with file name: Data_HN_water_quality_SWC_13_3_2025.csv

This water phytoplankton and quality dataset serves as the input for the data-driven framework used in the manuscript titled “Phytoplankton group classification by integrating trait information and observed environmental thresholds”.

The analysis code and additional data supporting the framework are available via the DOI links provided in the manuscript (https://github.com/AquaticEcoDynamics/trait-threshold-phyto.git). See Instruction.docx for guidance on applying the classification framework to these datasets.

The datasets can be made available upon request, via the “Request access” on this page.

If users agree with the conditions, please sign the "data sharing agreement form" then send the signed form to Manuscript author (danghoangvuong.vfu@gmail.com). The form can be downloaded via this link: https://github.com/VuongHoangDang/Data_sharing_agreement.git

Data files will be provided once the agreement is acknowledged.
DOI: 10.5281/zenodo.15209350
title: Hawkesbury-Nepean River Phytoplankton and Water Quality Data (2006 - 2018)

description: This dataset package provides long-term monitoring data of phytoplankton communities and water quality from the Hawkesbury-Nepean River, Sydney, Australia. Collected and analysed by the Sydney Water Corporation (SWC) as part of an ongoing ecological monitoring program, the data cover 13 sites along the river over a 13-year period (2006–2018).

The phytoplankton dataset captures spatial and temporal variations in community composition, enabling analysis of distribution patterns and responses to environmental change. Each record (row) in the dataset includes the calendar date of sampling, phytoplankton genus/species name, associated taxonomic group, site code, and quantitative measures of cell abundance (cells/mL) and biovolume (mm³/L). The data are provided in a CSV (comma-separated values) format with file name: Data_HN_Phytoplankton_SWC_13_3_2025.csv

The water quality dataset provides key physicochemical parameters essential for river management. The measured variables are total phosphorus (TP, mg/L), total nitrogen (TN, mg/L), salinity (SAL, psu), temperature (TEMP, °C), ammonium (AMM, mg/L), nitrate (NIT, mg/L), phosphate (FRP, mg/L), silica (SIL, mg/L), turbidity (TURBIDITY, NTU), and total chlorophyll-a (CHLA, μg/L). Each record (row) in the dataset includes the date of sampling, concentration of the water quality variables, and site code. The data are provided in a CSV (comma-separated values) format with file name: Data_HN_water_quality_SWC_13_3_2025.csv

This water phytoplankton and quality dataset serves as the input for the data-driven framework used in the manuscript titled “Phytoplankton group classification by integrating trait information and observed environmental thresholds”.

The analysis code and additional data supporting the framework are available via the DOI links provided in the manuscript (https://github.com/AquaticEcoDynamics/trait-threshold-phyto.git). See Instruction.docx for guidance on applying the classification framework to these datasets.

The datasets can be made available upon request, via the “Request access” on this page.

If users agree with the conditions, please sign the "data sharing agreement form" then send the signed form to Manuscript author (danghoangvuong.vfu@gmail.com). The form can be downloaded via this link: https://github.com/VuongHoangDang/Data_sharing_agreement.git

Data files will be provided once the agreement is acknowledged.
DOI: 10.15468/dl.fa459c
title: Occurrence Download

description: A dataset containing 1268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Thylamys elegans (Waterhouse, 1839)"
 ]
}

 The dataset includes 1268 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011216-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbm9ej
title: Occurrence Download

description: A dataset containing 7534124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 7534124 records from 682 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011193-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vp8twk
title: Occurrence Download

description: A dataset containing 1137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is Thylamys elegans (Waterhouse, 1839)"
 ]
}

 The dataset includes 1137 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011217-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shzkfe
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Finland",
 "MediaType is Image",
 "TaxonKey is Cakile maritima Scop.",
 "Year is 1951"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011218-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2ymzq
title: Occurrence Download

description: A dataset containing 94272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteris L."
 ]
}

 The dataset includes 94272 records from 745 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011215-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kb7tp8
title: Occurrence Download

description: A dataset containing 47905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((30.00372 -2.03826, 30.20371 -2.03826, 30.20371 -1.860291, 30.00372 -1.860291, 30.00372 -2.03826))",
 "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 47905 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011219-241024112534372/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.27327640
title: Stochastic Lighthill-Whitham-Richards traffic flow model for nonlinear speed-density relationships

description: Stochasticity is becoming increasingly essential in traffic flow research, given its notable influence in several applications, such as real-time traffic management. To consider stochasticity in macroscopic traffic flow modeling, this paper introduces a stochastic Lighthill-Whitham-Richards (SLWR) model, which not only captures equilibrium values in steady-state conditions but also describes stochastic variabilities. The SLWR model follows a conservation law, in which the free-flow speed is randomized to represent heterogeneities of drivers. To more accurately reflect real-life traffic patterns, a nonlinear speed-density relationship is considered. For addressing this highly nonlinear problem, a dynamically bi-orthogonal (DyBO) method is coupled with the Taylor series expansion technique. The results of simulation experiments show that the SLWR model can effectively describe the evolution of stochastic dynamic traffic with temporal or geometric bottlenecks. Moreover, the DyBO solutions exhibit reasonable accuracy while significantly reducing computation costs compared with the Monte Carlo method.
DOI: 10.6084/m9.figshare.27327640.v1
title: Stochastic Lighthill-Whitham-Richards traffic flow model for nonlinear speed-density relationships

description: Stochasticity is becoming increasingly essential in traffic flow research, given its notable influence in several applications, such as real-time traffic management. To consider stochasticity in macroscopic traffic flow modeling, this paper introduces a stochastic Lighthill-Whitham-Richards (SLWR) model, which not only captures equilibrium values in steady-state conditions but also describes stochastic variabilities. The SLWR model follows a conservation law, in which the free-flow speed is randomized to represent heterogeneities of drivers. To more accurately reflect real-life traffic patterns, a nonlinear speed-density relationship is considered. For addressing this highly nonlinear problem, a dynamically bi-orthogonal (DyBO) method is coupled with the Taylor series expansion technique. The results of simulation experiments show that the SLWR model can effectively describe the evolution of stochastic dynamic traffic with temporal or geometric bottlenecks. Moreover, the DyBO solutions exhibit reasonable accuracy while significantly reducing computation costs compared with the Monte Carlo method.
DOI: 10.15468/dl.vpzmda
title: Occurrence Download

description: A dataset containing 2674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((34.45709 36.6973, 34.74219 36.6973, 34.74219 36.87327, 34.45709 36.87327, 34.45709 36.6973))",
 "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 2674 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011220-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7y2m79
title: Occurrence Download

description: A dataset containing 3303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leopardus guigna (Molina, 1782)",
 "Year 2000-2024"
 ]
}

 The dataset includes 3303 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011221-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9su4d
title: Occurrence Download

description: A dataset containing 1287680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PRI",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1287680 records from 452 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048048-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udfmyb
title: Occurrence Download

description: A dataset containing 15720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.41016 18.97903,-89.47266 1.61698,-87.50391 -40.17889,-27.8789 -41.45591,-26.75391 11.38527,-75.41016 18.97903))",
 "HasCoordinate is true",
 "TaxonKey is Trogon collaris Vieillot, 1817",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15720 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056417-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uexpqm
title: Occurrence Download

description: A dataset containing 3891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Lygodactylus Gray, 1864",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3891 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061499-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gddrmj
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhipicephalus sanguineus Latreille, 1806"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108135-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwksg3
title: Occurrence Download

description: A dataset listing the 12881 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is Harvard University Herbaria: All Records"
 ]
}

 The dataset's 12881 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046270-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ck7em3
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ellopostomatidae"
 ]
}

 The dataset includes 35 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055398-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4etzp
title: Occurrence Download

description: A dataset containing 54835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "TaxonKey is Arecaceae"
 ]
}

 The dataset includes 54835 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069040-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fka8gu
title: Occurrence Download

description: A dataset containing 9050 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opuntia ficus-indica (L.) Mill."
 ]
}

 The dataset includes 9050 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061510-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znvr3k
title: Occurrence Download

description: A dataset containing 2534 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Equus ferus Boddaert, 1785"
 ]
}

 The dataset includes 2534 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062698-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.358smh
title: Occurrence Download

description: A dataset containing 43867 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Acanthametropus pecatonica (Burks, 1953), Baetis tricaudatus Dodds, 1923, Baetisca laurentina McDunnough, 1932, Baetisca obesa (Say, 1839), Camelobaetidius waltzi McCafferty, 1994, Centroptilum album McDunnough, 1926, Centroptilum bifurcatum McDunnough, 1924, Cercobrachys winnebago Sun & McCafferty, 2008, Choroterpes basalis (Banks, 1900), Cloeon cognatum Stephens, 1835, Cloeon dipterum (Linnaeus, 1761), Dannella lita (Burks, 1949), Dannella simplex (McDunnough, 1925), Ephemerella dorothea Needham, 1908, Ephemerella excrucians Walsh, 1862, Ephemerella invaria (Walker, 1853), Ephemerella needhami McDunnough, 1925, Eurylophella funeralis (McDunnough, 1925), Eurylophella lutulenta (Clemens, 1913), Eurylophella temporalis (McDunnough, 1924), Habrophlebiodes americana (Banks, 1903), Heptagenia patoka Burks, 1946, Hexagenia atrocaudata McDunnough, 1924, Hexagenia rigida McDunnough, 1924, Homoeoneuria ammophila (Spieth, 1938), Isonychia arida Say, 1839, Isonychia sayi Burks, 1953, Maccaffertium pudicum (Hagen, 1861), Macdunnoa persimplex (McDunnough, 1929), Paraleptophlebia moerens (McDunnough, 1924), Paraleptophlebia ontario (McDunnough, 1926), Paraleptophlebia sticta Burks, 1953, Pentagenia vittigera Walsh, 1862, Plauditus veteris (McDunnough, 1924), Procloeon viridoculare (Berner, 1940), Procloeon mendax (Walsh, 1862), Procloeon quaesitum (McDunnough, 1931), Procloeon simplex (McDunnough, 1923), Pseudiron centralis McDunnough, 1931, Raptoheptagenia cruentata (Walsh, 1863), Rhithrogena manifesta Eaton, 1885, Serratella frisoni (McDunnough, 1927), Siphlonurus marshalli Traver, 1934, Siphloplecton interlineatum (Walsh, 1863), Sparbarus lacustris (Needham, 1918), Spinadis simplex (Walsh, 1863), Stenacron candidum (Traver, 1935), Stenacron gildersleevei (Traver, 1935), Stenacron minnetonka (Daggy, 1945), Teloganopsis deficiens (Morgan, 1911), Tortopus primus (McDunnough, 1924))"
 ]
}

 The dataset includes 43867 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046258-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tty3c8
title: Occurrence Download

description: A dataset containing 30153 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asphodelus fistulosus L."
 ]
}

 The dataset includes 30153 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074180-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5vuxa
title: Occurrence Download

description: A dataset containing 1579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.62365 36.45879,22.51866 36.45879,22.51866 47.70879,-5.62365 47.70879,-5.62365 36.45879))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polyommatus ripartii (Freyer, 1830)"
 ]
}

 The dataset includes 1579 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0335249-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcnuah
title: Occurrence Download

description: A dataset containing 5898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Solidago rugosa Mill."
 ]
}

 The dataset includes 5898 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048614-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.