cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2024.504
title: Determination of respirable crystalline silica (RCS) characteristics and factors related to respiratory symptoms among RCS exposed workers in sandstone and stone mortar processing in two provinces of Thailand

description: Sandstone processing and stone mortar workers were at high risk of exposure to silica dust, which was generated while working and resulting in respiratory symptoms and diseases. This analytic cross-sectional study aims to determine crystalline silica concentrations in two different sizes of dust, namely respirable dust (RD) and particulate matter less than 2.5 (PM2.5), and their characteristics, and to assess respiratory symptoms as well as associated factors. The data were collected between September and November 2023 among RCS-exposed workers in two provinces of Thailand. The personal air samplings were collected throughout the full shift according to NIOSH 7602, and EPA- IP-10. The morphology and Silica elements were examined using SEM-EDX. The interview questionnaire was used to assess respiratory symptoms. Mean, standard deviation, frequency, and percentage, were used to describe demographic data, RCS concentration RD and PM2.5 characteristics, and respiratory symptoms. Chi-square was used to test for bivariate associations, and logistic regression was used for analysis of the association between respiratory symptoms and associated factors. Statistical significance was defined as the p-value less than 0.05.The total 212 participants were 140 sandstone workers and 72 stone mortar workers. Most of them 67% were male. The average work experience was 13.51 ± 10.06 years. Only 47% were currently smoking and 42.9% worn masks during work. The mean concentrations of RCS were 0.83 ± 0.68 mg/m3 and 0.61 ± 0.83 mg/m3 for RD and PM2.5, respectively. The highest concentration was found in stone mortar polishing. The SEM images of RD and PM2.5 exhibited an irregular shape with a range of sizes less than 1-5 microns. The highest respiratory symptoms were phlegm (61.8%) while wheezing was the lowest symptoms. Education levels, work experience, type of task, wearing masks, and types of masks were factors significantly associated with respiratory symptoms (p-value 0.003, 0.003, &lt;0.001, 0.001, and 0.018). The uneducated workers, polishing workers, 10 years of work experience workers, and those who did not wear masks were a group of workers who had a chance of developing respiratory symptoms. In conclusion, the RCS concentration in sandstone and stone mortar processing exceeded the OSHA standard (0.05 mg/m3) and Thailand regulation (0.025 mg/m3). The provision of personal protective equipment and the improvement of working environments are crucial in reducing respiratory symptoms among these household workers. Eventually, the early detection of respiratory symptoms can prevent more severe diseases.
DOI: 10.14457/tu.the.2024.505
title: Application of artificial neural network forecasting ambient sulfur dioxide concentration: a case of Mae Moh District, Lampang Province

description: This study investigates the application of a Long Short-Term Memory (LSTM) network to predict 24-hour ahead ambient sulfur dioxide (SO2) concentrations in the vicinity of a coal-fired power plant. Recognizing SO2 as a significant pollutant associated with coal-based electricity generation and its potential impacts on the surrounding environment and communities, the research developed and evaluated an LSTM model using historical meteorological and air quality time-series data from monitoring stations around the Mae Moh power plant. The model’s predictive performance assessed using Coefficient of Determination (R2), Mean Absolute Error (MAE), and Mean Squared Error (MSE). SHapley Additive exPlanations (SHAP) analysis revealed a spatially heterogeneous influence of input variables, with direct emission-related pollutants being more influential near the plant, while meteorological factors played a greater role at more remote stations. These findings underscore the importance of considering localized environmental factors and potentially implementing station-specific model adjustments to enhance the accuracy of SO2 forecasting for effective environmental monitoring and management in the region.
DOI: 10.15468/dl.429emc
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acipenser gueldenstaedtii",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030701-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt88t3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus alpinus",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030702-250811113504898/datasets/export for details.
DOI: 10.15468/dl.ac2rhx
title: Occurrence Download

description: A dataset containing 351115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-160.76216 18.35081,-154.08742 18.35081,-154.08742 22.55548,-160.76216 22.55548,-160.76216 18.35081))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 351115 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030638-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npudnb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus alpinus",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030703-250811113504898/datasets/export for details.
DOI: 10.15468/dl.mby4zy
title: Occurrence Download

description: A dataset containing 436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus alpinus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 436 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030704-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95r9a7
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acipenser gueldenstaedtii",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030705-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drubgb
title: Occurrence Download

description: A dataset containing 366257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Tripleurospermum inodorum"
 ]
}

 The dataset includes 366257 records from 1624 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030636-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nx66jz
title: Occurrence Download

description: A dataset containing 5707831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 5707831 records from 1619 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012860-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr7yux
title: Occurrence Download

description: A dataset containing 868 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology - DgoMB: Isopods"
 ]
}

 The dataset includes 868 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012014-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atzeaq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.7688 25.34913, -109.6188 25.34913, -109.6188 25.49913, -109.7688 25.49913, -109.7688 25.34913))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035557-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kw3k89
title: Occurrence Download

description: A dataset containing 9734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "TaxonKey is Ambrosia artemisiifolia"
 ]
}

 The dataset includes 9734 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035558-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9fmtk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus nerka",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035559-251025141854904/datasets/export for details.
DOI: 10.18170/dvn/cazrew
title: SeLECTS_ESES_steroids

description: Raw data of the study: Machine learning prediction of steroid response in SeLETCS with ESES: An EEG-Based Study
DOI: 10.15468/dl.nej59e
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.6188 25.34913, -109.4688 25.34913, -109.4688 25.49913, -109.6188 25.49913, -109.6188 25.34913))"
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035562-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17617627
title: TEXT
DOI: 10.5281/zenodo.17617628
title: TEXT
DOI: 10.15468/dl.r87j5u
title: Occurrence Download

description: A dataset containing 739 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Germany",
 "Geometry POLYGON((8.34401 49.0806,8.31689 49.06433,8.30171 49.03613,8.2952 49.01661,8.28327 48.99274,8.27134 48.98624,8.28544 48.9819,8.29954 48.98841,8.32015 48.9819,8.33208 48.99058,8.37546 48.97322,8.38848 48.95804,8.43728 48.96888,8.4503 48.96455,8.43945 48.94611,8.46548 48.94285,8.51646 48.94502,8.54249 48.95153,8.5067 48.96997,8.50127 48.99817,8.51537 49.00034,8.51971 49.02854,8.48284 49.06216,8.46982 49.04155,8.42861 49.06975,8.43511 49.09036,8.42101 49.09036,8.40908 49.0806,8.40692 49.06541,8.36136 49.07192,8.34509 49.0665,8.34401 49.0806))",
 "OccurrenceStatus is Present",
 "TaxonKey is Orthoptera"
 ]
}

 The dataset includes 739 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035563-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.464dkp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus rhodurus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035564-251025141854904/datasets/export for details.
DOI: 10.13140/rg.2.2.27353.58724
title: openmv tracking colorado beetles
DOI: 10.15468/dl.ah49k7
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.4688 25.34913, -109.3188 25.34913, -109.3188 25.49913, -109.4688 25.49913, -109.4688 25.34913))"
 ]
}

 The dataset includes 347 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035565-251025141854904/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.29430827
title: Data from: Cryptic species are widespread across vertebrates

description: Many species initially based on morphological data contain two or more cryptic species based on molecular data. These cryptic species have important implications for ecology, evolution, and conservation. For example, morphology-based species that are not of conservation concern can contain cryptic species that are in imminent danger of extinction. Here, we examined the prevalence of cryptic species across vertebrates. We also examined whether mitochondrial data overestimate or underestimate cryptic species numbers relative to nuclear data. We obtained molecular estimates of species limits from hundreds of studies across vertebrates. We found that each morphology-based species contained ~2 cryptic species on average. This number was surprisingly similar across major groups despite dramatic differences in ecology and physiology (fishes vs. birds), and was similar to comparable estimates in insects. Numbers of cryptic species estimated from mitochondrial data alone were often higher than from nuclear data, but were generally not statistically different. Overall, our results show that cryptic species are numerous and widespread across vertebrates. These results suggest that cryptic species should not be ignored in analyses of species richness, speciation, and extinction in living and fossil organisms. Furthermore, testing for cryptic species across morphology-based vertebrate species should be an urgent priority for conservation.
DOI: 10.6084/m9.figshare.29430827.v1
title: Data from: Cryptic species are widespread across vertebrates

description: Many species initially based on morphological data contain two or more cryptic species based on molecular data. These cryptic species have important implications for ecology, evolution, and conservation. For example, morphology-based species that are not of conservation concern can contain cryptic species that are in imminent danger of extinction. Here, we examined the prevalence of cryptic species across vertebrates. We also examined whether mitochondrial data overestimate or underestimate cryptic species numbers relative to nuclear data. We obtained molecular estimates of species limits from hundreds of studies across vertebrates. We found that each morphology-based species contained ~2 cryptic species on average. This number was surprisingly similar across major groups despite dramatic differences in ecology and physiology (fishes vs. birds), and was similar to comparable estimates in insects. Numbers of cryptic species estimated from mitochondrial data alone were often higher than from nuclear data, but were generally not statistically different. Overall, our results show that cryptic species are numerous and widespread across vertebrates. These results suggest that cryptic species should not be ignored in analyses of species richness, speciation, and extinction in living and fossil organisms. Furthermore, testing for cryptic species across morphology-based vertebrate species should be an urgent priority for conservation.
DOI: 10.15468/dl.8f4kc7
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "TaxonKey is Ambrosia tenuifolia"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035566-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7txjv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus tshawytscha",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035567-251025141854904/datasets/export for details.
DOI: 10.15468/dl.ttj4kd
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.3188 25.34913, -109.1688 25.34913, -109.1688 25.49913, -109.3188 25.49913, -109.3188 25.34913))"
 ]
}

 The dataset includes 258 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035569-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.20642.70087
title: mining conveyor belt
DOI: 10.15468/dl.sc3kw2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophisternon aenigmaticum",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035570-251025141854904/datasets/export for details.
DOI: 10.15468/dl.mmbt8f
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.1688 25.34913, -109.0188 25.34913, -109.0188 25.49913, -109.1688 25.49913, -109.1688 25.34913))"
 ]
}

 The dataset includes 77 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035572-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.he4ksb
title: Occurrence Download

description: A dataset containing 50827 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gambusia holbrooki"
 ]
}

 The dataset includes 50827 records from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035521-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17617163
title: A Novel Mathematical Framework for Quantifying the Unquantifiable: Hyperdimensional Non-Classical Measure Theory (HNCM)

description: This conceptual paper introduces Hyperdimensional Non-Classical Measure Theory (HNCM), a groundbreaking mathematical framework designed to rigorously quantify phenomena that elude classical measurement paradigms. By integrating elements from fuzzy measure theory, quantum measurement principles, category theory, and neutrosophic logic, HNCM provides a multidimensional, uncertainty-aware approach to measurement across physical, biological, chemical, engineering, and materials science domains. We derive precise mathematical formulations, including equations for hyperdimensional measures, and support them with reproducible simulations, advanced sensitivity analyses, Bayesian inference, quantitative statistics, uncertainty quantification, and falsifiability criteria. A sophisticated Python code implementation is provided for all core components. The framework is substantiated by 90 recent, prestigious references from high-impact journals. HNCM enables the measurement of non-measurable sets, quantum uncertainties, biological indeterminacies, and material ambiguities with unprecedented precision and rigor.
DOI: 10.5281/zenodo.17617638
title: A Novel Mathematical Framework for Quantifying the Unquantifiable: Hyperdimensional Non-Classical Measure Theory (HNCM)

description: This conceptual paper introduces Hyperdimensional Non-Classical Measure Theory (HNCM), a groundbreaking mathematical framework designed to rigorously quantify phenomena that elude classical measurement paradigms. By integrating elements from fuzzy measure theory, quantum measurement principles, category theory, and neutrosophic logic, HNCM provides a multidimensional, uncertainty-aware approach to measurement across physical, biological, chemical, engineering, and materials science domains. We derive precise mathematical formulations, including equations for hyperdimensional measures, and support them with reproducible simulations, advanced sensitivity analyses, Bayesian inference, quantitative statistics, uncertainty quantification, and falsifiability criteria. A sophisticated Python code implementation is provided for all core components. The framework is substantiated by 90 recent, prestigious references from high-impact journals. HNCM enables the measurement of non-measurable sets, quantum uncertainties, biological indeterminacies, and material ambiguities with unprecedented precision and rigor.
DOI: 10.15468/dl.a243nr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophisternon bengalense",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035573-251025141854904/datasets/export for details.
DOI: 10.15468/dl.s5gjr5
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.0188 25.34913, -108.8688 25.34913, -108.8688 25.49913, -109.0188 25.49913, -109.0188 25.34913))"
 ]
}

 The dataset includes 424 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035574-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.