cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fxujt6
title: Occurrence Download

description: A dataset containing 1959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aspidites W.C.H.Peters, 1877",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1959 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008571-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjub2v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dolichopteroides Parin, Belyanina & Evseenko, 2009",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((36.2225 24.1647,35.9648 24.4806,35.9648 19.8496,37.7519 19.8496,37.7005 20.2556,37.7935 21.209,37.3891 21.7756,37.3588 22.2459,36.8499 22.7968,36.6611 23.2461,36.1736 23.4033,36.31 23.7463,36.2225 24.1647))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008570-250525065834625/datasets/export for details.
DOI: 10.15468/dl.s7d8vj
title: Occurrence Download

description: A dataset containing 7508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haemopsalta eximia Emery & Emery, 2021, Goniaea vocans (Fabricius, 1775), Glycaspis froggatti Moore, 1970, Harknessia eucalypti Cooke, Polyschema clavulatum (Cooke & Harkn.) M.B.Ellis, Belemnospora epiphylla P.M.Kirk, Conioscypha hoehnelii P.M.Kirk, Parapleurotheciopsis inaequiseptata (Matsush.) P.M.Kirk, Polyscytalum hareae (B.Sutton) P.M.Kirk, Paropsisterna selmani Reid & de Little, 2013, Readeriella mirabilis Syd. & P.Syd., Lincolna aldrovandii Girault, 1940, Glycaspis buxalis Moore, 1970, Glycaspis retrusa Moore, 1970, Encarsia aseta Hayat & Polaszek, 1992, Pseudiglyphus grotiusi Girault, 1915, Cybopella eucalypti Boucek, 1988, Glycaspis immaceria Moore, 1970, Thaumastocoris ohallorani Noack, Cassis & Rose, 2011, Kirkaldyella ngarkati Cassis & Moulds, 2002, Platyobria capitata Taylor, 1987, Glycaspis anota Moore, 1970, Anoeconeossa miniatae Taylor, 1987, Megastigmus hilli Dodd, 1917, Encarsia clara (Dodd, 1917), Thoreauia compressiventris Girault, 1916, Agriophara levis (Meyrick, 1921), Eucalyptus siderophloia Benth., Phellopsylla olivacea (Froggatt, 1901), Ctenarytaina gracilis (Froggatt, 1901), Glycaspis xanthopepla Moore, 1970, Glycaspis rubritincta Moore, 1970, Glycaspis onychis Moore, 1970, Mimeraspis rotunda Brimblecombe, 1957, Schedotrioza cornuta Taylor, 1990, Glycaspis operta Moore, 1984, Quadrastichodella neglectae Ikeda, 1999, Neoleonardia aliformis Brimblecombe, 1953, Glycaspis amplificata Moore, 1961, Glycaspis inclusa Moore, 1961, Glycaspis occulta Moore, 1970, Hyalinaspis nigricamera Taylor, 1962, Hyalinaspis vitreipelta Taylor, 1962, Hyalinaspis pallidinota Taylor, 1962, Fergusobia juliae Davies, Giblin Davis, Ye, Taylor & Thomas, 2012, Glycaspis munita Moore, 1970, Glycaspis conserta Moore, 1961, Glycaspis campbelli Moore, 1970, Glycaspis riguensis Moore, 1985, Glycaspis vellerosa Moore, 1961)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7508 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011187-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15478200
title: AI4InSync: Global Reconstruction of Sea Ice Velocity ML Tutorial

description: Datasets to be used in a tutorial to train a neural network to make global reconstructions of Arctic sea-ice velocity.
DOI: 10.5281/zenodo.15478201
title: AI4InSync: Global Reconstruction of Sea Ice Velocity ML Tutorial

description: Datasets to be used in a tutorial to train a neural network to make global reconstructions of Arctic sea-ice velocity.
DOI: 10.15468/dl.4ea55y
title: Occurrence Download

description: A dataset containing 26752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryobates arizonae (Hargitt, 1886)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to September",
 "EventDate is not null",
 "Country is United States of America",
 "Geometry POLYGON((-63 22, -63 51, -126 51, -126 22, -63 22))"
 ]
}

 The dataset includes 26752 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011188-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9z6gbt
title: Occurrence Download

description: A dataset containing 61243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lampropholis Fitzinger, 1843",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 61243 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006300-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15278139
title: SMS - Challenges and Solutions in Devops Implementation A Systematic Mapping Study
DOI: 10.5281/zenodo.15278140
title: SMS - Challenges and Solutions in Devops Implementation A Systematic Mapping Study
DOI: 10.3886/e227695
title: US Dept of VA Colorado Statistics

description: Veterans as a Percent of County Population (FY2019)VA Facilities (as of 3/30/2021)VA Expenditures FY 2019 (in thousands)Veteran Population (as of 9/30/2019)Age DistributionPeriod of ServiceHousehold IncomeEducational AttainmentVA Healthcare and Benefits (as of 9/30/2020)<br>Population Projections Population Changes Veteran Population Projection By Age and Year Veteran Population Projection By Gender and Year Veteran Population Projection By Period of Service and Year Veteran Population Projection By Race/Ethnicity and YearAge Distribution over Time -- Colorado<br>National Center for Veterans Analysis and Statistics, Contact: www.va.gov/vetdataSources: VA Veteran Population Projection Model, VA Geographic Distribution of Expenditures, VA Annual Benefits Report, U.S. Census Bureau, American Community Survey
DOI: 10.3886/e227695v1
title: US Dept of VA Colorado Statistics

description: Veterans as a Percent of County Population (FY2019)VA Facilities (as of 3/30/2021)VA Expenditures FY 2019 (in thousands)Veteran Population (as of 9/30/2019)Age DistributionPeriod of ServiceHousehold IncomeEducational AttainmentVA Healthcare and Benefits (as of 9/30/2020)<br>Population Projections Population Changes Veteran Population Projection By Age and Year Veteran Population Projection By Gender and Year Veteran Population Projection By Period of Service and Year Veteran Population Projection By Race/Ethnicity and YearAge Distribution over Time -- Colorado<br>National Center for Veterans Analysis and Statistics, Contact: www.va.gov/vetdataSources: VA Veteran Population Projection Model, VA Geographic Distribution of Expenditures, VA Annual Benefits Report, U.S. Census Bureau, American Community Survey
DOI: 10.34740/kaggle/dsv/11552748
title: Layline Shareholder activism dataset
DOI: 10.15468/dl.y2u34x
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Melanerpes portoricensis (Daudin, 1803)"
 ]
}

 The dataset includes 260 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000612-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chq2cg
title: Occurrence Download

description: A dataset containing 839794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2010",
 "Month is April",
 "Day is greater than or equal to 1",
 "Day is less than or equal to 7"
 ]
}

 The dataset includes 839794 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000604-250424135625364/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.26326777
title: Behavioral health support for health care workers during COVID-19: An observational study of a remote mindfulness intervention

description: While evidence exists for effective remote mindfulness-based interventions (MBI) with nurses, and during the COVID-19 pandemic, less literature exists supporting effectiveness in broader groups of healthcare workers (HCWs). A clinically validated MBI was evaluated in HCWs at an academic medical center during COVID-19. Remote 1.5-h, 6-week sessions met throughout 2021–2022. Sessions included social support, educational, and mindfulness components. Pre-post analyses (<i>n</i> = 52) evaluated anxiety, depression, burnout, self-rated general health, and Self-Compassion at baseline (Week 1), program conclusion (Week 6) and 3-months post-intervention using mixed effect linear regression models. Program acceptability was measured at Week 6 with a single-item question ranking usefulness across all six sessions. Anxiety (−3.4 [95% CI −4.9, −1.9]), depression (−6.2 [95% CI −8.7, −3.7]), and burnout (−0.33 [95% CI −0.6, −0.11]) were significantly reduced from Week 1 to Week 6. Reductions were maintained 3-months post-intervention. Self-Compassion significantly increased (0.3 [95% CI 0.2, 0.5]) from Week 1 to Week 6, and this increase was maintained 3-months post-intervention. There was no significant change in self-rated general health. All sessions were acceptable. These results support the implementation of remote MBI for HCWs given continued mental health burdens in this workforce.
DOI: 10.6084/m9.figshare.26326777.v1
title: Behavioral health support for health care workers during COVID-19: An observational study of a remote mindfulness intervention

description: While evidence exists for effective remote mindfulness-based interventions (MBI) with nurses, and during the COVID-19 pandemic, less literature exists supporting effectiveness in broader groups of healthcare workers (HCWs). A clinically validated MBI was evaluated in HCWs at an academic medical center during COVID-19. Remote 1.5-h, 6-week sessions met throughout 2021–2022. Sessions included social support, educational, and mindfulness components. Pre-post analyses (<i>n</i> = 52) evaluated anxiety, depression, burnout, self-rated general health, and Self-Compassion at baseline (Week 1), program conclusion (Week 6) and 3-months post-intervention using mixed effect linear regression models. Program acceptability was measured at Week 6 with a single-item question ranking usefulness across all six sessions. Anxiety (−3.4 [95% CI −4.9, −1.9]), depression (−6.2 [95% CI −8.7, −3.7]), and burnout (−0.33 [95% CI −0.6, −0.11]) were significantly reduced from Week 1 to Week 6. Reductions were maintained 3-months post-intervention. Self-Compassion significantly increased (0.3 [95% CI 0.2, 0.5]) from Week 1 to Week 6, and this increase was maintained 3-months post-intervention. There was no significant change in self-rated general health. All sessions were acceptable. These results support the implementation of remote MBI for HCWs given continued mental health burdens in this workforce.
DOI: 10.15468/dl.q4t35y
title: Occurrence Download

description: A dataset containing 115664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Myrcia DC. ex Guill."
 ]
}

 The dataset includes 115664 records from 683 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007476-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ts44x7
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Lophoglossus haldemanni (LeConte, 1846)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 19 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007489-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11873355
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.c52gtd
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea werleri Darling & Smith, 1954"
 ]
}

 The dataset includes 286 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007490-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/28792493
title: Comprehensive Strategies for Managing PFAS in Water by Detecting Occurrence and Developing Methods for Analysis and Treatment

description: Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic fluorinated compounds widely used in industrial and consumer products due to their chemical stability and water-resistant properties but are now recognized as persistent environmental contaminants. However, their persistence in the environment presents significant concerns, as they are not fully removed by conventional water treatment processes, leading to contamination from industrial discharges, wastewater treatment plants, and landfill leachate. The U.S. Environmental Protection Agency (EPA) has cataloged over 15,000 PFAS compounds, including thousands of unidentified fluorinated substances, necessitating the development of advanced analytical methods to detect and quantify PFAS in environmental matrices such as drinking water, surface water, wastewater, and complex samples like firefighting foams. 
The detection and quantification of PFAS in environmental matrices remain challenging due to the limitations of conventional analytical techniques, which fail to 
 capture the full spectrum of organic fluorine compounds. As a result, total organic fluorine (TOF) measurements have been widely used to detect unspecified fluorinated substances; however, they are susceptible to fluoride background interference, leading to inaccurate organic fluorine quantification. To overcome these challenges, this dissertation introduces a novel solid-phase extraction (SPE) method using activated carbon felt (ACF) and fluorinated cartridges to effectively separate inorganic fluoride from PFAS. This approach enhances the accuracy of PFAS measurement by employing total fluorine detection through PIGE spectroscopy, achieving complete separation of inorganic fluoride and high PFAS recovery, with a detection limit of 1 µg L-1 for PFOS, PFOA, GenX, and PFBS.
Limited data exist on the presence and transport of PFAS in surface waters, particularly in regions like Indiana and Michigan. This research fills critical knowledge gaps by evaluating PFAS concentrations and mass fluxes in several watersheds that drain into Lake Michigan, providing insights into contamination sources and pathways. Understanding PFAS distribution in surface waters is essential for informing regulatory policies, mitigating exposure risks, and developing targeted remediation strategies to protect aquatic ecosystems and public health.
As PFAS regulations tighten, cost-effective and efficient treatment technologies are urgently needed. Traditional packed-bed adsorbents face mass transfer limitations, reducing their effectiveness in removing PFAS from drinking water. This research demonstrates that porous adsorptive membranes offer a mass transfer-efficient alternative, achieving high adsorption capacities even under dynamic flow conditions. By optimizing electrostatic and hydrophobic interactions, these membranes hold significant potential for scalable water treatment applications, contributing to safer and cleaner drinking water supplies.
DOI: 10.7274/28792493.v1
title: Comprehensive Strategies for Managing PFAS in Water by Detecting Occurrence and Developing Methods for Analysis and Treatment

description: Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic fluorinated compounds widely used in industrial and consumer products due to their chemical stability and water-resistant properties but are now recognized as persistent environmental contaminants. However, their persistence in the environment presents significant concerns, as they are not fully removed by conventional water treatment processes, leading to contamination from industrial discharges, wastewater treatment plants, and landfill leachate. The U.S. Environmental Protection Agency (EPA) has cataloged over 15,000 PFAS compounds, including thousands of unidentified fluorinated substances, necessitating the development of advanced analytical methods to detect and quantify PFAS in environmental matrices such as drinking water, surface water, wastewater, and complex samples like firefighting foams. 
The detection and quantification of PFAS in environmental matrices remain challenging due to the limitations of conventional analytical techniques, which fail to 
 capture the full spectrum of organic fluorine compounds. As a result, total organic fluorine (TOF) measurements have been widely used to detect unspecified fluorinated substances; however, they are susceptible to fluoride background interference, leading to inaccurate organic fluorine quantification. To overcome these challenges, this dissertation introduces a novel solid-phase extraction (SPE) method using activated carbon felt (ACF) and fluorinated cartridges to effectively separate inorganic fluoride from PFAS. This approach enhances the accuracy of PFAS measurement by employing total fluorine detection through PIGE spectroscopy, achieving complete separation of inorganic fluoride and high PFAS recovery, with a detection limit of 1 µg L-1 for PFOS, PFOA, GenX, and PFBS.
Limited data exist on the presence and transport of PFAS in surface waters, particularly in regions like Indiana and Michigan. This research fills critical knowledge gaps by evaluating PFAS concentrations and mass fluxes in several watersheds that drain into Lake Michigan, providing insights into contamination sources and pathways. Understanding PFAS distribution in surface waters is essential for informing regulatory policies, mitigating exposure risks, and developing targeted remediation strategies to protect aquatic ecosystems and public health.
As PFAS regulations tighten, cost-effective and efficient treatment technologies are urgently needed. Traditional packed-bed adsorbents face mass transfer limitations, reducing their effectiveness in removing PFAS from drinking water. This research demonstrates that porous adsorptive membranes offer a mass transfer-efficient alternative, achieving high adsorption capacities even under dynamic flow conditions. By optimizing electrostatic and hydrophobic interactions, these membranes hold significant potential for scalable water treatment applications, contributing to safer and cleaner drinking water supplies.
DOI: 10.15468/dl.mw7sf7
title: Occurrence Download

description: A dataset containing 1234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Rhizophora mangle L.",
 "Year 2015-2025"
 ]
}

 The dataset includes 1234 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007491-250515123054153/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.29100278
title: NDFO-BCP Experiment results.

description: This dataset contains numerical results comparing two interpolation methods—<b>Bi-value Coding Parameterization (BCP)</b> and <b>Normal Distribution Fiber Optimization (NDFO)</b>—for microstructure-integrated topology optimization. Data includes:<b>Compliance values</b> <b>Computation times</b><b>Macrostructure</b>
DOI: 10.15468/dl.hherjy
title: Occurrence Download

description: A dataset containing 78785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Occurrence evidence)",
 "Continent is Asia",
 "Country is India",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, Xeno-canto - Bird sounds from around the world)",
 "GadmGid is one of (IND.35.10_1, IND.35.3_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "Year 2020-2025"
 ]
}

 The dataset includes 78785 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007470-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euwmyz
title: Occurrence Download

description: A dataset containing 159748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-75.63935 4.36986,-75.37708 4.36986,-75.37708 4.55842,-75.63935 4.55842,-75.63935 4.36986))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 159748 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007437-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuq8vy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Viola hirta L."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007496-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.