cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nekcj6
title: Occurrence Download

description: A dataset containing 68 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'IN'
 AND (occurrence.taxonkey = 7122825 OR occurrence.acceptedtaxonkey = 7122825 OR occurrence.kingdomkey = 7122825 OR occurrence.phylumkey = 7122825 OR occurrence.classkey = 7122825 OR occurrence.orderkey = 7122825 OR occurrence.familykey = 7122825 OR occurrence.genuskey = 7122825 OR occurrence.specieskey = 7122825)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 68 records were derived from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005857-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14757818
title: Reproduceability package for "On the prevalence of early mass transfer for very massive binaries"

description: Reproduceability package for "On the prevalence of early mass transfer for very massive binaries". See README for more information.

 

README:

On the prevalence of early mass transfer for very massive binaries

In the manuscript submitted to RNAAS, we compare MESA models withovershooting parameters informed by observations in the relevant massrange with models without overshooting and the stellar models used inrapid binary population synthesis obtained using COMPAS.

We show that for very large initial masses, the radial evolutionduring the main sequence can lead to significant changes in the numberof systems experiencing early case A vs. late case B mass transfer,with potential implications for post-mass-transfer binarysystems. This effect is dependent on convective boundary mixing modeland metallicity.

To examine data, unzip the tar files and find the LOGS folder for eachrun located in its respective folder. To reproduce data, either changedirectory into a specific mass stellar model and run the followingcommands. Ensure you are running MESA version 24.03.1.

./clean./mk./rn

Alternatively, unzip the template folders and run the python script tocreate a customizable number of models. This method is preferred forsubmitting batch jobs when using HPC, information on which isdependent on your institution.
DOI: 10.5281/zenodo.14757819
title: Reproduceability package for "On the prevalence of early mass transfer for very massive binaries"

description: Reproduceability package for "On the prevalence of early mass transfer for very massive binaries". See README for more information.

 

README:

On the prevalence of early mass transfer for very massive binaries

In the manuscript submitted to RNAAS, we compare MESA models withovershooting parameters informed by observations in the relevant massrange with models without overshooting and the stellar models used inrapid binary population synthesis obtained using COMPAS.

We show that for very large initial masses, the radial evolutionduring the main sequence can lead to significant changes in the numberof systems experiencing early case A vs. late case B mass transfer,with potential implications for post-mass-transfer binarysystems. This effect is dependent on convective boundary mixing modeland metallicity.

To examine data, unzip the tar files and find the LOGS folder for eachrun located in its respective folder. To reproduce data, either changedirectory into a specific mass stellar model and run the followingcommands. Ensure you are running MESA version 24.03.1.

./clean./mk./rn

Alternatively, unzip the template folders and run the python script tocreate a customizable number of models. This method is preferred forsubmitting batch jobs when using HPC, information on which isdependent on your institution.
DOI: 10.15468/dl.a6dx6c
title: Occurrence Download

description: A dataset containing 2292033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2014",
 "DecimalLongitude is greater than or equal to 7.0",
 "DecimalLongitude is less than or equal to 15.5",
 "DecimalLatitude is greater than or equal to 54.5",
 "DecimalLatitude is less than or equal to 58.0"
 ]
}

 The dataset includes 2292033 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008204-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/pbuyym
title: Antifungal properties of bioactive compounds isolated from Fucus vesiculosus supercritical carbon dioxide extract

description: The data pertain to the results obtained within the project no. 2022/44/C/ST4/00010 funded by the Polish National Science Centre. Within conducted project, antifungal properties against Fusarium culmorum were proved for fatty acids and especially for fucosterol from macroalgae extract. In this case, detailed chromatographic analyses were conducted with four different methods, including gas chromatography mass spectrometry, gas chromatography equipped with flame ionisation detection, supercritical fluid chromatography as well as coutercurrent chromatography. Moreover, bioactive compounds isolated from Fucus vesiculosus CO2 extract may be used as plant resistance enzymes activator. The dataset contains raw data of detailed chromatographic analysis (qualitative and quantitative), bioactive compounds separation, microbiological assay as well as plant resistance enzymes activation tests.For more details, please refer to the README file.
DOI: 10.15468/dl.8vmkxe
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Planchonia stentae (Brain, 1920)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008212-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.12770/e4869a28-ba86-4348-a111-22aea0efa54f
title: Bathymétrie - golfe du Lion, canyon Lacaze-Duthiers, résolution 10 m (campagne CALADU_2021, 2021)
title: Bathymetry - Gulf of Lion, Lacaze-Duthiers canyon, 10 m cell size (CALADU_2021cruise, 2021)

description: Bathymétrie du canyon Lacaze-Duthiers (campagne CALADU_2021), au pas de 10 mètres. Ce jeu de données est un Modèle Numérique de Terrain bathymétrique, issu de l'acquisition acoustique du sondeur multifaisceau EM304 du N/O Thalassa.
Référence verticale : niveau de la mer observé (pas de correction de marée)
Rapport de traitement : Gaillot Arnaud (2024). CALADU_2021. Traitement des données SMF coque et engin. Ref. ASTI-2024-331. Ifremer.
Description de la campagne : FABRI Marie-Claire (2021) CALADU_2021 cruise, RV Thalassa, https://doi.org/10.17600/18001575
description: Bathymetry of the Lacaze-Duthiers canyon (CALADU_2021 cruise), at 10 meter cell size. This dataset is a bathymetric Digital Terrain Model, resulting from the acoustic acquisition of the EM304 multibeam echosounder of the R/V Thalassa.
Vertical reference : observed sea level (no tide correction)
Processing report : Gaillot Arnaud (2024). CALADU_2021. Traitement des données SMF coque et engin. Ref. ASTI-2024-331. Ifremer. 
Cruise description : FABRI Marie-Claire (2021) CALADU_2021 cruise, RV Thalassa, https://doi.org/10.17600/18001575
DOI: 10.12770/74492729-a034-42ee-a517-7037cda010b4
title: Bathymétrie - golfe du Lion, canyon Lacaze-Duthiers, résolution 5 m (campagne CALADU_2021, 2021)
title: Bathymetry - Gulf of Lion, Lacaze-Duthiers canyon head, 5 m cell size (CALADU_2021cruise, 2021)

description: Bathymétrie de la tête du canyon Lacaze-Duthiers (campagne CALADU_2021, 2021), au pas de 5 mètres. Ce jeu de données est un Modèle Numérique de Terrain bathymétrique, issu de l'acquisition acoustique du sondeur multifaisceau EM304 du N/O Thalassa.
Référence verticale : niveau de la mer observé (pas de correction de marée)
Rapport de traitement : Gaillot Arnaud (2024). CALADU_2021. Traitement des données SMF coque et engin. Ref. ASTI-2024-331. Ifremer.
Description de la campagne : FABRI Marie-Claire (2021) CALADU_2021 cruise, RV Thalassa, https://doi.org/10.17600/18001575
description: Bathymetry of the Lacaze-Duthiers canyon's head (CALADU_2021 cruise, 2021), at 5 meter cell size. This dataset is a bathymetric Digital Terrain Model, resulting from the acoustic acquisition of the EM304 multibeam echosounder of the R/V Thalassa.
Vertical reference: observed sea level (no tide correction)
Processing report:
Cruise description : FABRI Marie-Claire (2021) CALADU_2021 cruise, RV Thalassa, https://doi.org/10.17600/18001575
DOI: 10.15468/dl.zcvd2g
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Mongolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Achillea L."
 ]
}

 The dataset includes 225 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008213-250310093411724/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.28595150
title: The annotation files of <i>Aulacomnium turgidum </i>and <i>Polytrichastrum alpinum</i>

description: The Arctic moss Aulacomnium turgidum and the Antarctic moss Polytrichastrum alpinum play crucial roles in the ecosystems of polar regions, contributing significantly to biodiversity and ecological stability. We sequenced and de novo assembled the genomes of A. turgidum and P. alpinum using a combination of Illumina short reads, Nanopore long reads, and Hi-C scaffolding technology. The genome sizes are 277.84 Mb for A. turgidum and 498.33 Mb for P. alpinum, anchored to 11 chromosomes and 8 chromosomes, respectively. Both species exhibit a sex chromosome with distinct genomic characteristics. The genomes encode 25,999 protein-coding genes in A. turgidum and 28,070 in P. alpinum.
DOI: 10.6084/m9.figshare.28595396
title: Survey on Automated Writing Feedback

description: Anonymized survey data from a study on graduate students’ engagement with automated vs. teacher-delivered feedback in an English-medium university in Armenia. This dataset is a small component of the study. The main results are drawn based on the case studies of a few research participants who did a think-aloud protocol during the revision process of their academic papers and interviews. These datasets are not available due to the confidentiality reasons.
DOI: 10.15468/dl.xm2uvy
title: Occurrence Download

description: A dataset listing the 11 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.2 50.9,-1.1 50.9,-1.1 51,-1.2 51,-1.2 50.9))",
 "HasCoordinate is true",
 "TaxonKey is one of (Myotis mystacinus (Kuhl, 1817), Cervus elaphus Linnaeus, 1758, Asio otus (Linnaeus, 1758), Triturus cristatus (Laurenti, 1768), Rhinolophus hipposideros (Bechstein, 1800), Bufo bufo (Linnaeus, 1758), Pipistrellus pipistrellus (Schreber, 1774), Meles meles (Linnaeus, 1758), Lutra lutra (Linnaeus, 1758), Araneus diadematus Clerck, 1757, Erinaceus europaeus Linnaeus, 1758, Apodemus sylvaticus (Linnaeus, 1758), Cornu aspersum (O.F.Müller, 1774), Lampyris noctiluca (Linnaeus, 1758), Strix aluco Linnaeus, 1758)"
 ]
}

 The dataset's 11 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008211-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15023271
title: Dataset: PEDOT:Nafion for Highly Efficient Supercapacitors

description: Dataset presenting the raw experimental data on the fabrication and characterization of PEDOT:Nafion films, both pristine and treated with either dimethyl sulfoxide or ethylene glycol, and their applicability as supercapacitive materials.
DOI: 10.5281/zenodo.15023272
title: Dataset: PEDOT:Nafion for Highly Efficient Supercapacitors

description: Dataset presenting the raw experimental data on the fabrication and characterization of PEDOT:Nafion films, both pristine and treated with either dimethyl sulfoxide or ethylene glycol, and their applicability as supercapacitive materials.
DOI: 10.6084/m9.figshare.26005446.v1
title: The Effect of Concurrent Use of Opioids and Gabapentin on Fall Risk in Older Adults

description: Falls pose a significant threat to older adults, resulting in injuries and mortality. Concurrently prescribed opioids and gabapentin for pain management may increase fall risks in older patients. This study aimed to estimate fall risks associated with the concurrent use of gabapentin and opioids, comparing them to opioid monotherapy in older adults. A retrospective case-control study of 1,813 patients aged 65–89 on chronic opioid therapy (2017–2020), excluding those with a fall history, analysis focused on the first fall occurrence. Logistic regression assessed the association between concurrent gabapentin and opioid use and fall events. Out of eligible patients, 122 (6.73%) experienced falls during opioid therapy, with 232 (12.80%) having concurrent gabapentin use. Concurrent use significantly increased fall risk (AOR = 1.73; 95% CI: 1.08-2.78). Being female, aged ≥81, and having more chronic conditions also increased risk. Mitigating fall risk in older adults requires education on prevention, exploring alternative pain management, and careful consideration of prescribing. Further research is crucial to understand adverse events linked to combined opioid and gabapentin use in the geriatric population.
DOI: 10.6084/m9.figshare.26005446
title: The Effect of Concurrent Use of Opioids and Gabapentin on Fall Risk in Older Adults

description: Falls pose a significant threat to older adults, resulting in injuries and mortality. Concurrently prescribed opioids and gabapentin for pain management may increase fall risks in older patients. This study aimed to estimate fall risks associated with the concurrent use of gabapentin and opioids, comparing them to opioid monotherapy in older adults. A retrospective case-control study of 1,813 patients aged 65–89 on chronic opioid therapy (2017–2020), excluding those with a fall history, analysis focused on the first fall occurrence. Logistic regression assessed the association between concurrent gabapentin and opioid use and fall events. Out of eligible patients, 122 (6.73%) experienced falls during opioid therapy, with 232 (12.80%) having concurrent gabapentin use. Concurrent use significantly increased fall risk (AOR = 1.73; 95% CI: 1.08-2.78). Being female, aged ≥81, and having more chronic conditions also increased risk. Mitigating fall risk in older adults requires education on prevention, exploring alternative pain management, and careful consideration of prescribing. Further research is crucial to understand adverse events linked to combined opioid and gabapentin use in the geriatric population.
DOI: 10.15468/dl.r3apts
title: Occurrence Download

description: A dataset listing the 11 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.1 54.5,-1 54.5,-1 54.6,-1.1 54.6,-1.1 54.5))",
 "HasCoordinate is true",
 "TaxonKey is one of (Myotis mystacinus (Kuhl, 1817), Cervus elaphus Linnaeus, 1758, Asio otus (Linnaeus, 1758), Triturus cristatus (Laurenti, 1768), Rhinolophus hipposideros (Bechstein, 1800), Bufo bufo (Linnaeus, 1758), Pipistrellus pipistrellus (Schreber, 1774), Meles meles (Linnaeus, 1758), Lutra lutra (Linnaeus, 1758), Araneus diadematus Clerck, 1757, Erinaceus europaeus Linnaeus, 1758, Apodemus sylvaticus (Linnaeus, 1758), Cornu aspersum (O.F.Müller, 1774), Lampyris noctiluca (Linnaeus, 1758), Strix aluco Linnaeus, 1758)"
 ]
}

 The dataset's 11 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008214-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgm5us
title: Occurrence Download

description: A dataset containing 1408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllotreta cruciferae (Goeze, 1777)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1408 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008215-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25969/mediarep/23243
title: Series Fatigue. A Qualitative Data Set

description: This data set is the result of a 2023-2024 international collaborative study, conducted by Sophie G. Einwächter (Philipps-Universität Marburg, Germany) and Thessa Jensen (Aalborg Universiteit, Denmark). The qualitative study aimed to explore ‘series fatigue,’ a phenomenon seemingly arising from the abundant availability of serial media content online. The set complements all publications resulting from this study. The data set contains: questionnaire (1), preliminary coding chart (2), final codebook with code descriptions and examples (3), survey answers and interview transcripts (4), consent form (template) (5). The set may be of particular use to: (I) Scholars interested in transformations of viewing patterns and consumer expectations in the digital era, (II) Cultural, Fan, and Audience Studies researchers dealing with questions of non-fandom, anti-fandom, and viewer disenchantment, (III) Scholars interested in the phenomenon of decision fatigue, (IV) Early career researchers aiming to gain insight into an exploratory, qualitative research process, (V) Anyone seeking insight into contemporary viewing behavior or how people reflect on different types of platform-based entertainment media (series, films, livestream)
DOI: 10.15468/dl.yrduhr
title: Occurrence Download

description: A dataset containing 18159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "License is one of (CC-BY 4.0, CC0 1.0)",
 "TaxonKey is Tringa totanus (Linnaeus, 1758)"
 ]
}

 The dataset includes 18159 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008216-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5btg7b
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Mongolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Achnatherum P.Beauv."
 ]
}

 The dataset includes 133 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008217-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15023251
title: park and carla

description: This experiment addresses the safety challenges of intelligent devices in hazardous areas without protective measures in real park environments. Due to the lack of publicly available datasets, this study constructed a dedicated dataset to evaluate the effectiveness of the proposed method. The dataset comprises real-world images from actual scenes and simulated images extracted from a simulator. The annotations include two classes: drivable areas and background regions.

The real-world images were extracted and filtered from the Summer Palace and Beihai Park video footage, resulting in 583 selected road scene images. To prevent overfitting and enhance the generalization capability of the model, data augmentation techniques such as random flipping, scaling, brightness adjustment, and contrast enhancement were applied. The processed dataset was expanded to 1,166 images. The simulated images were generated in the Carla simulator, using scenes from Town1, Town6, and Town7, which closely resemble park environments. A total of 11,025 raw images and semantic segmentation images were obtained. Pixel-level segmentation labels were processed to ensure consistency with the annotations of the real-world images. The dataset comprises a total of 12,191 images, all uniformly resized to a resolution of 1024×512 pixels. In order to ensure the reproducibility of our results, the dataset was divided into training, validation, and testing sets in a standard ratio of 7:1.5:1.5.
DOI: 10.5281/zenodo.15023252
title: park and carla

description: This experiment addresses the safety challenges of intelligent devices in hazardous areas without protective measures in real park environments. Due to the lack of publicly available datasets, this study constructed a dedicated dataset to evaluate the effectiveness of the proposed method. The dataset comprises real-world images from actual scenes and simulated images extracted from a simulator. The annotations include two classes: drivable areas and background regions.

The real-world images were extracted and filtered from the Summer Palace and Beihai Park video footage, resulting in 583 selected road scene images. To prevent overfitting and enhance the generalization capability of the model, data augmentation techniques such as random flipping, scaling, brightness adjustment, and contrast enhancement were applied. The processed dataset was expanded to 1,166 images. The simulated images were generated in the Carla simulator, using scenes from Town1, Town6, and Town7, which closely resemble park environments. A total of 11,025 raw images and semantic segmentation images were obtained. Pixel-level segmentation labels were processed to ensure consistency with the annotations of the real-world images. The dataset comprises a total of 12,191 images, all uniformly resized to a resolution of 1024×512 pixels. In order to ensure the reproducibility of our results, the dataset was divided into training, validation, and testing sets in a standard ratio of 7:1.5:1.5.