cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xq3gnk
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Alopecosa psammophila Buchar, 2001",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095193-240626123714530/datasets/export for details.
DOI: 10.15468/dl.b6rdjb
title: Occurrence Download

description: A dataset containing 2774 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Sisyra nigra (Retzius, 1783)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2774 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095194-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yevhcj
title: Occurrence Download

description: A dataset containing 13 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Plexippoides gestroi (Dalmas, 1920)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095195-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52322b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Madascincus arenicola Miralles, Köhler, Glaw & Vences, 2011)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095196-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ghcrxc
title: Occurrence Download

description: A dataset containing 4 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Carabus abbreviatus Brullé, 1835",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095197-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mm4t5
title: Occurrence Download

description: A dataset containing 2706873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is INSDC Sequences",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2706873 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095128-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.as979w
title: Occurrence Download

description: A dataset containing 2 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Alopecosa cronebergi (Thorell, 1875)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095199-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmzqb4
title: Occurrence Download

description: A dataset containing 54072162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, July, August)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2019-2019"
 ]
}

 The dataset includes 54072162 records from 1763 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095126-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.1344830.v1
title: Immunomodulatory action of the DNA methyltransferase inhibitor SGI-110 in epithelial ovarian cancer cells and xenografts

description: We aimed to determine the effect of SGI-110 on methylation and expression of the cancer testis antigens (CTAs) NY-ESO-1 and MAGE-A in epithelial ovarian cancer (EOC) cells <i>in vitro</i> and <i>in vivo</i> and to establish the impact of SGI-110 on expression of major histocompatibility (MHC) class I and Intracellular Adhesion Molecule 1 (ICAM-1) on EOC cells, and on recognition of EOC cells by NY-ESO-1-specific CD8+ T-cells. We also tested the impact of combined SGI-110 and NY-ESO-1-specific CD8+ T-cells on tumor growth and/or murine survival in a xenograft setting. EOC cells were treated with SGI-110 <i>in vitro</i> at various concentrations and as tumor xenografts with 3 distinct dose schedules. Effects on global methylation (using <i>LINE-1</i>), <i>NY-ESO-1</i> and <i>MAGE-A</i> methylation, mRNA, and protein expression were determined and compared to controls. SGI-110 treated EOC cells were evaluated for expression of immune-modulatory genes using flow cytometry, and were co-cultured with NY-ESO-1 specific T-cell clones to determine immune recognition. <i>In vivo</i> administration of SGI-110 and CD8+ T-cells was performed to determine anti-tumor effects on EOC xenografts. SGI-110 treatment induced hypomethylation and CTA gene expression in a dose dependent manner both <i>in vitro</i> and <i>in vivo</i>, at levels generally superior to azacitidine or decitabine. SGI-110 enhanced the expression of MHC I and ICAM-1, and enhanced recognition of EOC cells by NY-ESO-1-specific CD8+ T-cells. Sequential SGI-110 and antigen-specific CD8+ cell treatment restricted EOC tumor growth and enhanced survival in a xenograft setting. SGI-110 is an effective hypomethylating agent and immune modulator and, thus, an attractive candidate for combination with CTA-directed vaccines in EOC.
DOI: 10.6084/m9.figshare.1344810.v5
title: Terminesp RDF

description: This is the RDF OntoLex version of the Terminesp dataset. OntoLex is an on-going work and has not been released yet. For more information about OntoLex, please visit http://www.w3.org/community/ontolex/wiki/Final_Model_Specification For more information about Terminesp, please visit http://www.wikilengua.org/index.php/Wikilengua:Terminesp
DOI: 10.6084/m9.figshare.1344821.v2
title: Apertium RDF tests

description: Experimetal data related to the Apertium RDF dataset. It contains two files: golden standard and test results. 1. GOLDEN STANDARD Gold stadard translations for the EN-CA, ES-CA, EN-ES language pairs, extracted from the Apertium RDF bilingual dictionaries (See http://linguistic.linkeddata.es/apertium/). This dataset is intended for testing indirect translations inferred from the Apertium RDF graph (eg., EN-ES-CA). 2. TEST RESULTS Test results of getting indirect translations between these source-pivot-target languages in Apertium: EN-CA-ES, EN-ES-CA, ES-EN-CA A score is assigned to every translation, which is computed with the One Time Inverse Consultation method
DOI: 10.6084/m9.figshare.1344830.v3
title: Immunomodulatory action of the DNA methyltransferase inhibitor SGI-110 in epithelial ovarian cancer cells and xenografts

description: We aimed to determine the effect of SGI-110 on methylation and expression of the cancer testis antigens (CTAs) NY-ESO-1 and MAGE-A in epithelial ovarian cancer (EOC) cells <i>in vitro</i> and <i>in vivo</i> and to establish the impact of SGI-110 on expression of major histocompatibility (MHC) class I and Intracellular Adhesion Molecule 1 (ICAM-1) on EOC cells, and on recognition of EOC cells by NY-ESO-1-specific CD8+ T-cells. We also tested the impact of combined SGI-110 and NY-ESO-1-specific CD8+ T-cells on tumor growth and/or murine survival in a xenograft setting. EOC cells were treated with SGI-110 <i>in vitro</i> at various concentrations and as tumor xenografts with 3 distinct dose schedules. Effects on global methylation (using <i>LINE-1</i>), <i>NY-ESO-1</i> and <i>MAGE-A</i> methylation, mRNA, and protein expression were determined and compared to controls. SGI-110 treated EOC cells were evaluated for expression of immune-modulatory genes using flow cytometry, and were co-cultured with NY-ESO-1 specific T-cell clones to determine immune recognition. <i>In vivo</i> administration of SGI-110 and CD8+ T-cells was performed to determine anti-tumor effects on EOC xenografts. SGI-110 treatment induced hypomethylation and CTA gene expression in a dose dependent manner both <i>in vitro</i> and <i>in vivo</i>, at levels generally superior to azacitidine or decitabine. SGI-110 enhanced the expression of MHC I and ICAM-1, and enhanced recognition of EOC cells by NY-ESO-1-specific CD8+ T-cells. Sequential SGI-110 and antigen-specific CD8+ cell treatment restricted EOC tumor growth and enhanced survival in a xenograft setting. SGI-110 is an effective hypomethylating agent and immune modulator and, thus, an attractive candidate for combination with CTA-directed vaccines in EOC.
DOI: 10.6084/m9.figshare.1344830.v2
title: Immunomodulatory action of the DNA methyltransferase inhibitor SGI-110 in epithelial ovarian cancer cells and xenografts

description: We aimed to determine the effect of SGI-110 on methylation and expression of the cancer testis antigens (CTAs) NY-ESO-1 and MAGE-A in epithelial ovarian cancer (EOC) cells <i>in vitro</i> and <i>in vivo</i> and to establish the impact of SGI-110 on expression of major histocompatibility (MHC) class I and Intracellular Adhesion Molecule 1 (ICAM-1) on EOC cells, and on recognition of EOC cells by NY-ESO-1-specific CD8+ T-cells. We also tested the impact of combined SGI-110 and NY-ESO-1-specific CD8+ T-cells on tumor growth and/or murine survival in a xenograft setting. EOC cells were treated with SGI-110 <i>in vitro</i> at various concentrations and as tumor xenografts with 3 distinct dose schedules. Effects on global methylation (using <i>LINE-1</i>), <i>NY-ESO-1</i> and <i>MAGE-A</i> methylation, mRNA, and protein expression were determined and compared to controls. SGI-110 treated EOC cells were evaluated for expression of immune-modulatory genes using flow cytometry, and were co-cultured with NY-ESO-1 specific T-cell clones to determine immune recognition. <i>In vivo</i> administration of SGI-110 and CD8+ T-cells was performed to determine anti-tumor effects on EOC xenografts. SGI-110 treatment induced hypomethylation and CTA gene expression in a dose dependent manner both <i>in vitro</i> and <i>in vivo</i>, at levels generally superior to azacitidine or decitabine. SGI-110 enhanced the expression of MHC I and ICAM-1, and enhanced recognition of EOC cells by NY-ESO-1-specific CD8+ T-cells. Sequential SGI-110 and antigen-specific CD8+ cell treatment restricted EOC tumor growth and enhanced survival in a xenograft setting. SGI-110 is an effective hypomethylating agent and immune modulator and, thus, an attractive candidate for combination with CTA-directed vaccines in EOC.
DOI: 10.6084/m9.figshare.1344821.v3
title: Apertium RDF tests

description: Experimetal data related to the Apertium RDF dataset. It contains two files: golden standard and test results. 1. GOLDEN STANDARD Gold stadard translations for the EN-CA, ES-CA, EN-ES language pairs, extracted from the Apertium RDF bilingual dictionaries (See http://linguistic.linkeddata.es/apertium/). This dataset is intended for testing indirect translations inferred from the Apertium RDF graph (eg., EN-ES-CA). 2. TEST RESULTS Test results of getting indirect translations between these source-pivot-target languages in Apertium: EN-CA-ES, EN-ES-CA, ES-EN-CA A score is assigned to every translation, which is computed with the One Time Inverse Consultation method
DOI: 10.6084/m9.figshare.1344821.v5
title: Apertium RDF tests

description: Experimetal data related to the Apertium RDF dataset. It contains three files: golden standard, test results, and summary table. 1. GOLDEN STANDARD Gold stadard translations for the EN-CA, ES-CA, EN-ES language pairs, extracted from the Apertium RDF bilingual dictionaries (See http://linguistic.linkeddata.es/apertium/). This dataset is intended for testing indirect translations inferred from the Apertium RDF graph (eg., EN-ES-CA). 2. TEST RESULTS Test results of getting indirect translations between these source-pivot-target languages in Apertium: EN-CA-ES, EN-ES-CA, ES-EN-CA A score is assigned to every translation, which is computed with the One Time Inverse Consultation method 3. SUMARY TABLE A html table showing the precision/recall results for some threshold values
DOI: 10.6084/m9.figshare.1344821.v4
title: Apertium RDF tests

description: Experimetal data related to the Apertium RDF dataset. It contains two files: golden standard and test results. 1. GOLDEN STANDARD Gold stadard translations for the EN-CA, ES-CA, EN-ES language pairs, extracted from the Apertium RDF bilingual dictionaries (See http://linguistic.linkeddata.es/apertium/). This dataset is intended for testing indirect translations inferred from the Apertium RDF graph (eg., EN-ES-CA). 2. TEST RESULTS Test results of getting indirect translations between these source-pivot-target languages in Apertium: EN-CA-ES, EN-ES-CA, ES-EN-CA A score is assigned to every translation, which is computed with the One Time Inverse Consultation method
DOI: 10.6084/m9.figshare.1344779
title: Statistical Characteristics of Wrong-Way Driving Crashes on Illinois Freeways

description: <b>Objective:</b> Driving the wrong way on freeways, namely wrong-way driving (WWD), has been found to be a major concern for more than 6 decades. The purpose of this study was to identify characteristics of this type of crash as well as to rank the locations/interchanges according to their vulnerability to WWD entries.<b>Methods:</b> The WWD crash data on Illinois freeways were statistically analyzed for a 6-year time period (2004 to 2009) from 3 aspects: crash, vehicle, and person. The temporal distributions, geographical distributions, roadway characteristics, and crash locations were analyzed for WWD crashes. The driver demographic information, physical condition, and injury severity were analyzed for wrong-way drivers. The vehicle characteristics, vehicle operation, and collision results were analyzed for WWD vehicles. A method was brought about to identify wrong-way entry points that was then used to develop a relative-importance technique and rank different interchange types in terms of potential WWD incidents.<b>Results:</b> The findings revealed that a large proportion of WWD crashes occurred during the weekend from midnight to 5 a.m. Approximately 80% of WWD crashes were located in urban areas and nearly 70% of wrong-way vehicles were passenger cars. Approximately 58% of wrong-way drivers were driving under the influence (DUI). Of those, nearly 50% were confirmed to be impaired by alcohol, about 4% were impaired by drugs, and more than 3% had been drinking. The analysis of interchange ranking found that compressed diamond interchanges, single point diamond interchanges (SPDIs), partial cloverleaf interchanges, and freeway feeders had the highest wrong-way crash rates (wrong-way crashes per 100 interchanges per year).<b>Conclusions:</b> The findings of this study call for more attention to WWD crashes from different aspects such as driver age group, time of day, day of week, and DUI drivers. Based on the analysis results of WWD distance, the study explained why a 5-mile radius of WWD crash location should be studied for WWD fatal crashes with unknown entry points.
DOI: 10.6084/m9.figshare.1344780
title: Application of a Rule-Based Approach in Real-Time Crash Risk Prediction Model Development Using Loop Detector Data

description: <b>Objectives</b>: There is a growing trend in development and application of real-time crash risk prediction models within dynamic safety management systems. These real-time crash risk prediction models are constructed by associating crash data with the real-time traffic surveillance data (e.g., collected by loop detectors). The main objective of this article is to develop a real-time risk model that will potentially be utilized within traffic management systems. This model aims to predict the likelihood of crash occurrence on motorways.<b>Methods</b>: In this study, the potential prediction variables are confined to traffic-related characteristics. Given that the dependent variable (i.e., traffic safety condition) is dichotomous (i.e., “no-crash” or “crash”), a rule-based approach is considered for model development. The performance of rule-based classifiers is further compared with the more conventional techniques like binary logistic regression and decision trees. The crash and traffic data used in this study were collected between June 2009 and December 2011 on a part of the E313 motorway in Belgium between Geel-East and Antwerp-East exits, on the direction toward Antwerp.<b>Results</b>: The results of analysis show that several traffic flow characteristics such as traffic volume, average speed, and standard deviation of speed at the upstream loop detector station and the difference in average speed on upstream and downstream loop detector stations significantly contribute to the crash occurrence prediction. The final chosen classifier is able to predict 70% of crash occasions accurately, and it correctly predicts 90% of no-crash instances, indicating a 10% false alarm rate.<b>Conclusions</b>: The findings of this study can be used to predict the likelihood of crash occurrence on motorways within dynamic safety management systems.
DOI: 10.6084/m9.figshare.1344777
title: Sleepiness and Motor Vehicle Crashes in a Representative Sample of Portuguese Drivers: The Importance of Epidemiological Representative Surveys

description: <b>Objective:</b> Sleepiness is considered to be a leading cause of crashes. Despite the huge amount of information collected in questionnaire studies, only some are based on representative samples of the population. Specifics of the populations studied hinder the generalization of these previous findings. For the Portuguese population, data from sleep-related car crashes/near misses and sleepiness while driving are missing. The objective of this study is to determine the prevalence of near-miss and nonfatal motor vehicle crashes related to sleepiness in a representative sample of Portuguese drivers. <b>Methods:</b> Structured phone interviews regarding sleepiness and sleep-related crashes and near misses, driving habits, demographic data, and sleep quality were conducted using the Pittsburgh Sleep Quality Index and sleep apnea risk using the Berlin questionnaire. A multivariate regression analysis was used to determine the associations with sleepy driving (feeling sleepy or falling asleep while driving) and sleep-related near misses and crashes. <b>Results:</b> Nine hundred subjects, representing the Portuguese population of drivers, were included; 3.1% acknowledged falling asleep while driving during the previous year and 0.67% recalled sleepiness-related crashes. Higher education, driving more than 15,000 km/year, driving more frequently between 12:00 a.m. and 6 a.m., fewer years of having a driver's license, less total sleep time per night, and higher scores on the Epworth Sleepiness Scale (ESS) were all independently associated with sleepy driving. Sleepiness-related crashes and near misses were associated only with falling asleep at the wheel in the previous year. Sleep-related crashes occurred more frequently in drivers who had also had sleep-related near misses. <b>Conclusion:</b> Portugal has lower self-reported sleepiness at the wheel and sleep-related near misses than most other countries where epidemiological data are available. Different population characteristics and cultural, social, and road safety specificities may be involved in these discrepancies. Despite this, Portuguese drivers report sleep-related crashes in frequencies similar to those of drivers in other countries.
DOI: 10.6084/m9.figshare.1344780.v1
title: Application of a Rule-Based Approach in Real-Time Crash Risk Prediction Model Development using Loop Detector Data

description: ABSTRACT<b>Objectives</b>: There is a growing trend in development and application of real-time crash risk prediction models within dynamic safety management systems. These real-time crash risk prediction models are constructed by associating crash data with the real-time traffic surveillance data (e.g. collected by loop detectors). The main objective of this paper is to develop a real-time risk model that will potentially be utilized within traffic management systems. This model aims to predict the likelihood of crash occurrence on motorways.<b>Methods</b>: In this study, the potential prediction variables are confined to traffic related characteristics. Given that the dependent variable (i.e. traffic safety condition) is dichotomous (i.e. “no-crash” or “crash”), a rule-based approach is considered for model development. The performance of rule-based classifiers is further compared with the more conventional techniques like binary logistic regression and decision trees. The crash and traffic data used in this study were collected between June 2009 and December 2011 on a part of the E313 motorway in Belgium between Geel-East and Antwerp-East exits, on the direction towards Antwerp.<b>Results</b>: The results of analysis show that several traffic flow characteristics such as traffic volume, average speed and standard deviation of speed at the upstream loop detector station, and the difference in average speed on upstream and downstream loop detector stations significantly contribute to the crash occurrence prediction. The final chosen classifier is able to predict 70% of crash occasions accurately while it correctly predicts 90% of no-crash instances, indicating a 10% false alarm rate.<b>Conclusions</b>: The findings of this study can be used to predict the likelihood of crash occurrence on motorways within dynamic safety management systems.