cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14977858
title: Integrating Cyber-Physical Systems with embedding technology for controlling autonomous vehicle driving

description: Cyber-physical systems (CPSs) in autonomous vehicles must handle highly dynamic and uncertain settings, where unanticipated impediments, shifting traffic conditions, and environmental changes all provide substantial decision-making issues. Deep reinforcement learning (DRL) has emerged as a strong tool for dealing with such uncertainty. Yet, current DRL models struggle to ensure safety and optimal behaviour in indeterminate settings due to the difficulties of understanding dynamic reward systems. This study incorporates Double Deep Q Networks (DDQN) to address these constraints and improve the agent's adaptability under uncertain driving conditions. A structured reward system is established to accommodate real-time fluctuations, resulting in safer and more efficient decision-making. The study acknowledges the technological limitations of automobile CPSs and investigates hardware acceleration as a potential remedy in addition to algorithmic enhancements. Because of their post-manufacturing adaptability, parallel processing capabilities, and reconfigurability, Field Programmable Gate Arrays (FPGAs) are used to execute reinforcement learning in real-time. Using essential parameters, including collision rate, behaviour similarity, travel distance, speed control, total rewards, and timesteps, the suggested method is thoroughly tested in the TORCS Racing Simulator. The findings show that combining FPGA-based hardware acceleration with DDQN successfully improves computational efficiency and decision-making reliability, tackling significant issues brought on by uncertainty in autonomous driving CPSs. In addition to advancing reinforcement learning applications in CPSs, this work opens up possibilities for future investigations into real-world generalisation, adaptive reward mechanisms, and scalable hardware implementations to further reduce uncertainty in autonomous systems.
DOI: 10.15468/dl.8fkjgm
title: Occurrence Download

description: A dataset containing 27239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum viarum Dunal"
 ]
}

 The dataset includes 27239 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006674-250227182400228/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.28540754
title: V7.sav

description: patient interest/participation in treatment tasks<br>
DOI: 10.26187/deakin.22565158
title: Heatwaves cause relative fitness decline in aquatic insects by altering life history and host-pathogen relationships - Data and R scripts

description: <br>Data and r scripts related to the paper.<br><b>InfectTempDataStored -</b>Daily data from saprolegnia experimental heatwave experiment 2021. Data includes egg mass identification and the related infection, hatching and dead eggs for each day until the completion of the experiment.column namesDate - Date of observationDay - Numbered day of experiment on given dateTemps - Temperature name given to each treatment. 22.5 = High, 12.5 = Low and Spike = SpikePersonnel - Initials of individuals taking observations on given day/dateRo_ID - Identification number of rockCl_ID - identification number of clusters of egg masses on a given rockEM_ID - identification number ofegg masses within a cluster on a given rockIsEdge - y/n as to whether an egg mass is on the outside of a cluster or entirely surrounded by other egg massesRiffle - Location where the rock was collected fromInfect% - estimated percent of infected eggs on given day/dateHatch% - estimated percent of hatched eggs on a given dat/date from healthy eggs. infected eggs not includedD_Eggs - presence of dead eggs which are not infected 1 = yes, 0 = no. infected eggs not includednotes - notes for individual egg massesEgg_count - number of egg in each egg massNeonate_count - number of neonates counted for each rock, only labelled in one egg mass per rock as they are counted at the rock scale. changed to neonates per rock in rStudio<br><b>InfectTempScript.r -</b>r script analysing above data<br><b>First5DaysScript.r -</b>same data set as above script but filter to only the first 5 days<br><b>fungusHelpers.r -</b>functions used in previous two scripts<br><b>PopulationModelScript.r -</b>script where the population modelling occurs.<b>maxtempsurvivalmodelpreds</b> + <b>sustainestemphatchmodelpreds</b> are used in this script after being created in the InfectTempScriptLOW, SPIKE and HIGH life table .xlxs are also used in this script<br><b>TempLoggers.r -</b>Script where the temp loggers from the lab experiment are uploaded and cut to the right date/time for visualisation<br><br><br><br><br>
DOI: 10.26187/deakin.22565158.v1
title: Heatwaves cause relative fitness decline in aquatic insects by altering life history and host-pathogen relationships - Data and R scripts

description: <br>Data and r scripts related to the paper.<br><b>InfectTempDataStored -</b>Daily data from saprolegnia experimental heatwave experiment 2021. Data includes egg mass identification and the related infection, hatching and dead eggs for each day until the completion of the experiment.column namesDate - Date of observationDay - Numbered day of experiment on given dateTemps - Temperature name given to each treatment. 22.5 = High, 12.5 = Low and Spike = SpikePersonnel - Initials of individuals taking observations on given day/dateRo_ID - Identification number of rockCl_ID - identification number of clusters of egg masses on a given rockEM_ID - identification number ofegg masses within a cluster on a given rockIsEdge - y/n as to whether an egg mass is on the outside of a cluster or entirely surrounded by other egg massesRiffle - Location where the rock was collected fromInfect% - estimated percent of infected eggs on given day/dateHatch% - estimated percent of hatched eggs on a given dat/date from healthy eggs. infected eggs not includedD_Eggs - presence of dead eggs which are not infected 1 = yes, 0 = no. infected eggs not includednotes - notes for individual egg massesEgg_count - number of egg in each egg massNeonate_count - number of neonates counted for each rock, only labelled in one egg mass per rock as they are counted at the rock scale. changed to neonates per rock in rStudio<br><b>InfectTempScript.r -</b>r script analysing above data<br><b>First5DaysScript.r -</b>same data set as above script but filter to only the first 5 days<br><b>fungusHelpers.r -</b>functions used in previous two scripts<br><b>PopulationModelScript.r -</b>script where the population modelling occurs.<b>maxtempsurvivalmodelpreds</b> + <b>sustainestemphatchmodelpreds</b> are used in this script after being created in the InfectTempScriptLOW, SPIKE and HIGH life table .xlxs are also used in this script<br><b>TempLoggers.r -</b>Script where the temp loggers from the lab experiment are uploaded and cut to the right date/time for visualisation<br><br><br><br><br>
DOI: 10.25976/e90v-sv52
title: TRCA Regional Watershed Monitoring Program (RWMP) - Water Quality Data

description: Water Quality Data from monthly grab samples collected at 47 sites across nine watersheds in Toronto and Region Conservation Authority’s (TRCA) jurisdiction. Samples are collected monthly following the Provincial Water Quality Monitoring Network (PWQMN) protocol and are analyzed at various private and partner laboratories. Parameters include nutrients, general chemistry, and selected metals.
DOI: 10.15468/dl.5q3vg9
title: Occurrence Download

description: A dataset containing 25648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tradescantia fluminensis Vell."
 ]
}

 The dataset includes 25648 records from 392 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006676-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1047043.10fu
title: SH1047043.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047044.10fu
title: SH1047044.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.25972n
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Italy",
 "OccurrenceStatus is Present",
 "TaxonKey is Sorbus domestica",
 "Year 1970-2025"
 ]
}

 The dataset includes 62 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002352-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shv9ch
title: Occurrence Download

description: A dataset containing 56439683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Country is United States of America",
 "SpeciesKey is not null"
 ]
}

 The dataset includes 56439683 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002345-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1047045.10fu
title: SH1047045.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047048.10fu
title: SH1047048.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047050.10fu
title: SH1047050.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047051.10fu
title: SH1047051.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047053.10fu
title: SH1047053.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047055.10fu
title: SH1047055.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047058.10fu
title: SH1047058.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.7jwpte
title: Occurrence Download

description: A dataset containing 3644385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "Year 2023-2025"
 ]
}

 The dataset includes 3644385 records from 1660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000470-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phqwc7
title: Occurrence Download

description: A dataset containing 1394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mustela putorius furo Linnaeus, 1758"
 ]
}

 The dataset includes 1394 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000488-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-131409
title: Annual Holy Convocation of the Church of God in Christ (97th: 2004)

description: [description english/roman)] The souvenir journal of the Holy Convocation of the Church of God in Christ. Annually.
DOI: 10.15468/dl.hpz5me
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asperula glomerata (M.Bieb.) Griseb."
 ]
}

 The dataset includes 399 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065607-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggkwb4
title: Occurrence Download

description: A dataset containing 2223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amsonia Walter",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 2223 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0327116-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-131367
title: Annual Holy Convocation of the Church of God in Christ (97th: 2004)

description: [description english/roman)] The souvenir journal of the Holy Convocation of the Church of God in Christ. Annually.
DOI: 10.15468/dl.kfrqbq
title: Occurrence Download

description: A dataset containing 824 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asperula hexaphylla All."
 ]
}

 The dataset includes 824 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065675-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f39r2
title: Occurrence Download

description: A dataset containing 1901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leucocarbo georgianus (Lonnberg, 1906)"
 ]
}

 The dataset includes 1901 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005407-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-131391
title: Annual Holy Convocation of the Church of God in Christ (97th: 2004)

description: [description english/roman)] The souvenir journal of the Holy Convocation of the Church of God in Christ. Annually.
DOI: 10.15468/dl.bqwsky
title: Occurrence Download

description: A dataset containing 9803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyacinthus orientalis L.",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Human Observation, Specimen, Unknown evidence)"
 ]
}

 The dataset includes 9803 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057264-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.