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

description: A dataset containing 28370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lasiobolus macrotrichus Rea, Lasiocampa quercus Linnaeus, 1758, Lasioglossum auratum (Ashmead, 1900), Lasioglossum aequatum (Vachal, 1904), Lasioglossum elatum (Warncke, 1975), Lasioglossum peraltum (Cockerell, 1901), Lasioglossum versatum (Robertson, 1902))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 28370 records from 347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0358972-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9sh5np
title: Occurrence Download

description: A dataset containing 3695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyclospermum leptophyllum (Pers.) Sprague"
 ]
}

 The dataset includes 3695 records from 263 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289783-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92du8y
title: Occurrence Download

description: A dataset containing 2834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cephalopholis argus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2834 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008195-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2bbxj
title: Occurrence Download

description: A dataset containing 11243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Smilisca baudinii (Duméril & Bibron, 1841)"
 ]
}

 The dataset includes 11243 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300798-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjepmf
title: Occurrence Download

description: A dataset containing 2140168 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Acer platanoides L., Fumaria kralikii Jord., Lythrum salicaria L., Persicaria hydropiper (L.) Spach, Picea abies (L.) H.Karst., Rumex obtusifolius L.)"
 ]
}

 The dataset includes 2140168 records from 1747 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035109-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/88bwwg
title: Rove beetles (Coleoptera: Staphylinidae) of primeval beech forest of the Uholsko-Shyrokoluzhansky massif of the Carpathian Biosphere Reserve, Zakarpattia region, Ukraine

description: The dataset contains a list of rove beetes (Coleoptera: Staphylinidae) collected of theof primeval beech forest of the Uholsko-Shyrokoluzhanskyi massif of the Carpathian Uholsko-Shyrokoluzhanskyi massif of the Carpathian Biosphere Reserve. The study as a whole are based on the results of long-term sampling of V.O. Chumak (1999–2018) in the primeval beech forest of the of the Uholsko-Shyrokoluzhanskyi massif.
DOI: 10.15468/dl.pjfxf6
title: Occurrence Download

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

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022491-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23645/epacomptox.29610452
title: Concentration versus Time Database (CvTdb) v2.0.0 Data Release

description: <b>The Concentration versus Time Database (CvTdb)</b> contains manually curated time-series data and associated metadata for <i>in vivo</i> toxicokinetic (“TK”) studies on organic chemicals available in the scientific literature. The database has been developed in close coordination with leading researchers at the EPA with specialties relating to toxicology and toxicokinetic modeling. These data inform chemical safety analysis and allow evaluation of the relationship between administered doses and internal concentrations of a substance. These data can also be used to build or evaluate physiologically based pharmacokinetic (PBPK) and physiologically-based (PBTK) models (such as the <i>httk</i> R package), which simulate the absorption, distribution, metabolism, and elimination of a chemical. The database also contains toxicokinetic parameters, including volume of distribution and elimination half-life, which are calculated across all data associated with a particular compound using the publicly available pharmacokinetic curve-fitting software <i>invivoPKfit</i>. This version 2.0.0 release builds upon the original v1.0.0 “legacy” database released with Sayre, Wambaugh, and Grulke (2020) and the minor v1.1.0 database release from 2021 that added the Showa Pharmaceutical University dataset. The code, documentation, and vignettes associated with the database release are available on GitHub (CompTox-PK-CvTdb; CvTdbLoad). The database is also available for download through the public CCTE EPA Clowder repository (no user account required).Sayre, R. R., Wambaugh, J. F. & Grulke, C. M. (2020). Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals. Sci Data 7(122). https://doi.org/10.1038/s41597-020-0455-1.
DOI: 10.23645/epacomptox.29610452.v1
title: Concentration versus Time Database (CvTdb) v2.0.0 Data Release

description: <b>The Concentration versus Time Database (CvTdb)</b> contains manually curated time-series data and associated metadata for <i>in vivo</i> toxicokinetic (“TK”) studies on organic chemicals available in the scientific literature. The database has been developed in close coordination with leading researchers at the EPA with specialties relating to toxicology and toxicokinetic modeling. These data inform chemical safety analysis and allow evaluation of the relationship between administered doses and internal concentrations of a substance. These data can also be used to build or evaluate physiologically based pharmacokinetic (PBPK) and physiologically-based (PBTK) models (such as the <i>httk</i> R package), which simulate the absorption, distribution, metabolism, and elimination of a chemical. The database also contains toxicokinetic parameters, including volume of distribution and elimination half-life, which are calculated across all data associated with a particular compound using the publicly available pharmacokinetic curve-fitting software <i>invivoPKfit</i>. This version 2.0.0 release builds upon the original v1.0.0 “legacy” database released with Sayre, Wambaugh, and Grulke (2020) and the minor v1.1.0 database release from 2021 that added the Showa Pharmaceutical University dataset. The code, documentation, and vignettes associated with the database release are available on GitHub (CompTox-PK-CvTdb; CvTdbLoad). The database is also available for download through the public CCTE EPA Clowder repository (no user account required).Sayre, R. R., Wambaugh, J. F. & Grulke, C. M. (2020). Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals. Sci Data 7(122). https://doi.org/10.1038/s41597-020-0455-1.
DOI: 10.15468/dl.zkwqkq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Mazama americana)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022493-250717081556266/datasets/export for details.
DOI: 10.15468/dl.8k6wtf
title: Occurrence Download

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

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022492-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bfjpz9zgyn
title: Difficult intubation in children - applicability of Acromioaxillosuprasternal notch index ad Colorado pediatric airway score as a bedside screening test

description: The data attached contains my original master chart with all findings and measurements of both group 1 and group 2 .
It contains my observations and results after statistical analysis 
It contains my original protocol
DOI: 10.17632/bfjpz9zgyn.1
title: Difficult intubation in children - applicability of Acromioaxillosuprasternal notch index ad Colorado pediatric airway score as a bedside screening test

description: The data attached contains my original master chart with all findings and measurements of both group 1 and group 2 .
It contains my observations and results after statistical analysis 
It contains my original protocol
DOI: 10.5065/ey9h-xy29
title: ICARUS Chamber Experiment: UCR-CECERT-APL-Cocker Group_20110420_3-Ethyltoluene/hydrogen peroxide_Hydroxyl radical_No Seed_EPA1416A - Annie

description: Goals: Photooxidation of m-ethyltoluene with OH radicals under black lights.Summary: Targets: m-ethyltoluene 100 ppb (east) 200 ppb (west) H2O2 1 ppm (both) INSTRUMENTS: GC, SMPS, AMS, VTDMA, APMOrganization: UCR-CECERT-APL-Cocker Group Lab Affiliation: University of California, Riverside, CE-CERT Chamber: EPA chamberExperiment Category: Photolysis, any phase, Aerosol formation, Aerosol aging Oxidant: Hydroxyl radical Reactants: 3-Ethyltoluene, hydrogen peroxide Reaction Type: Photooxidation Relative Humidity: 0.01 Temperature: 28 Pressure: 0.015'' H2O
DOI: 10.17632/g9wvxgzkrp
title: A Dataset of Inertial Measurement Units for Handwritten Maths Numbers and Symbols

description: The dataset consists of Inertial Measurement Unit (IMU) data corresponding to the 10 numeric digits (0–9) and 4 mathematical symbols: plus (+), minus (−), multiplication (×), and division (÷). The data was collected using an IMU 6050 sensor, which was attached to a marker held by participants during the handwriting process. The IMU sensor captures accelerations along three axes (X, Y, Z) and rotational velocities along the same three axes, providing detailed motion profiles for each written symbol.

Data Collection Process:

Twenty students participated in the data collection process for this study. Each student was tasked with writing all 14 characters (10 digits + 4 symbols) twice — once with the IMU sensor attached to the upper part of a marker and once with the sensor attached to the lower part. This dual positioning helped investigate how sensor placement affects motion data distinctiveness and recognition performance. Each student thus contributed 28 samples (14 characters × 2 sensor positions), creating a balanced and diverse dataset.

The data collection process was conducted over a four-month period to ensure ample data diversity and volume. In each session, students wrote each symbol 250 times on a whiteboard. To precisely record the start and end of each character-writing event, participants used a button they pressed before starting and released upon completion. The IMU sensor continuously recorded data for all 250 repetitions of each character written by each student. This approach resulted in a rich, large-scale dataset well-suited for deep learning and machine learning applications.

Labeling:

The data is labeled numerically from 0 to 13. Labels 0–9 correspond to digits '0' through '9', label 10 represents the plus sign '+', label 11 represents the minus sign '−', label 12 represents the multiplication sign '×', and label 13 represents the division sign '÷'. This straightforward labeling allows for efficient classification and identification during analysis and modeling.

Data Interpretation and Usage:

Character Recognition: Train and evaluate machine learning models to recognize numeric digits and basic arithmetic symbols based on IMU data.

Sensor Analysis: Investigate how different sensor placements affect recognition accuracy and develop methods for sensor position normalization or compensation.

Handwriting Dynamics: Analyze the writing speed, stroke patterns, angular velocity, and other motion features associated with handwritten digits and symbols.

This dataset offers a valuable resource for researchers and developers working on handwriting recognition using inertial sensor data, particularly in the context of numeric and symbolic input recognition.
DOI: 10.17632/g9wvxgzkrp.2
title: A Dataset of Inertial Measurement Units for Handwritten Maths Numbers and Symbols

description: The dataset consists of Inertial Measurement Unit (IMU) data corresponding to the 10 numeric digits (0–9) and 4 mathematical symbols: plus (+), minus (−), multiplication (×), and division (÷). The data was collected using an IMU 6050 sensor, which was attached to a marker held by participants during the handwriting process. The IMU sensor captures accelerations along three axes (X, Y, Z) and rotational velocities along the same three axes, providing detailed motion profiles for each written symbol.

Data Collection Process:

Twenty students participated in the data collection process for this study. Each student was tasked with writing all 14 characters (10 digits + 4 symbols) twice — once with the IMU sensor attached to the upper part of a marker and once with the sensor attached to the lower part. This dual positioning helped investigate how sensor placement affects motion data distinctiveness and recognition performance. Each student thus contributed 28 samples (14 characters × 2 sensor positions), creating a balanced and diverse dataset.

The data collection process was conducted over a four-month period to ensure ample data diversity and volume. In each session, students wrote each symbol 250 times on a whiteboard. To precisely record the start and end of each character-writing event, participants used a button they pressed before starting and released upon completion. The IMU sensor continuously recorded data for all 250 repetitions of each character written by each student. This approach resulted in a rich, large-scale dataset well-suited for deep learning and machine learning applications.

Labeling:

The data is labeled numerically from 0 to 13. Labels 0–9 correspond to digits '0' through '9', label 10 represents the plus sign '+', label 11 represents the minus sign '−', label 12 represents the multiplication sign '×', and label 13 represents the division sign '÷'. This straightforward labeling allows for efficient classification and identification during analysis and modeling.

Data Interpretation and Usage:

Character Recognition: Train and evaluate machine learning models to recognize numeric digits and basic arithmetic symbols based on IMU data.

Sensor Analysis: Investigate how different sensor placements affect recognition accuracy and develop methods for sensor position normalization or compensation.

Handwriting Dynamics: Analyze the writing speed, stroke patterns, angular velocity, and other motion features associated with handwritten digits and symbols.

This dataset offers a valuable resource for researchers and developers working on handwriting recognition using inertial sensor data, particularly in the context of numeric and symbolic input recognition.
DOI: 10.15468/dl.843p8h
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sida rhombifolia",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 166 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022494-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.747tx9
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Byrsonima aerugo"
 ]
}

 The dataset includes 139 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022495-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/drbz25d776
title: Investigación del Efecto de la discriminación étnica sobre el consumo de alcohol de adolescentes Yaquis

description: Este conjunto de datos examina la relación entre la discriminación étnica y el consumo de alcohol en 302 adolescentes indígenas Yaquis de Sonora, México. Mediante instrumentos validados y análisis estadísticos (U de Mann-Whitney y regresión logística), se encontró que la discriminación étnica se asocia significativamente con un mayor consumo actual e instantáneo de alcohol. Los hallazgos subrayan la necesidad de intervenciones culturalmente sensibles en salud pública para esta población.
DOI: 10.17632/drbz25d776.1
title: Investigación del Efecto de la discriminación étnica sobre el consumo de alcohol de adolescentes Yaquis

description: Este conjunto de datos examina la relación entre la discriminación étnica y el consumo de alcohol en 302 adolescentes indígenas Yaquis de Sonora, México. Mediante instrumentos validados y análisis estadísticos (U de Mann-Whitney y regresión logística), se encontró que la discriminación étnica se asocia significativamente con un mayor consumo actual e instantáneo de alcohol. Los hallazgos subrayan la necesidad de intervenciones culturalmente sensibles en salud pública para esta población.
DOI: 10.15468/dl.3527mt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Mazama americana)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022497-250717081556266/datasets/export for details.
DOI: 10.17632/tvk845ry6s
title: Estuarine Plumes: Modulators of Dissolved Organic Matter Molecular Signatures and Biogeochemical Fate in Coastal Ecosystems

description: Raw data from general test, EEM and FT-ICR MS.
DOI: 10.17632/tvk845ry6s.1
title: Estuarine Plumes: Modulators of Dissolved Organic Matter Molecular Signatures and Biogeochemical Fate in Coastal Ecosystems

description: Raw data from general test, EEM and FT-ICR MS.
DOI: 10.5281/zenodo.16275438
title: Beyond Quartiles: Topological insights into the evolution of journal metrics
DOI: 10.5281/zenodo.16275439
title: Beyond Quartiles: Topological insights into the evolution of journal metrics
DOI: 10.5065/z0rt-qt29
title: ICARUS Chamber Experiment: Nguyen Group_20220627_gamma-Terpinene/Ammonium Sulfate/Ozone/Hydrogen Peroxide_Ozone_Ammonium sulfate

description: Goals: To quantify SOA yield and gas-phase product yields from humid ozonolysis of g-terpinene, which will serve as a "control" experiment to subtract the ozonolysis contribution to the nighttime chemistry of g-terpinene as measured in the experiment on 6/14/22.Summary: The chamber was humidified, after which H2O2, and O3 were injected in the chamber and allowed to equilibrate. Ammonium sulfate seed particles were injected. Then g-terpinene was injected and decayed by reaction with ozone (plus some contribution from OH). Gas phase organics were monitored by CF3O- CIMS (units: normalized counts), particle formation was monitored by SMPS, and RH / T / O3 / NOx were monitored throughout.O3/NOx data sometimes require post-correction not applied here, including subtraction of an ozone interference from H2O2 (1 ppm H2O2 is detected as about 12 ppb ozone) and correction for an in-line HEPA filter (see timeline for applicable timing) that scrubs about 10% of NO2 and 45% of ozone.Organization: Nguyen Group Lab Affiliation: UC Davis Chamber: Tran's big bag of airExperiment Category: Gas phase chemical reaction, Aerosol formation Oxidant: Ozone Reactants: gamma-Terpinene, Ammonium Sulfate, Ozone, Hydrogen Peroxide Reaction Type: Dark oxidation Relative Humidity: 63 Temperature: 22 Seed Name: Ammonium sulfate Pressure: approximate 1 atm