cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8356386
title: PoqueiraVehicleLPR: A Dataset of Vehicle Detection Sensors in the region of Barranco de Poqueira in the Alpujarra Granadina.

description: This dataset is linked to the analysis of different aspects related to the conservation of the Sierra Nevada National Park through advanced digital systems. The devices have been deployed along the road that passes through the municipalities of Pampaneira, Bubión and Capileira, in the Alpujarra region of Granada. Data is collected by 4 devices equipped with vehicle detection sensors. These devices are Hikvision LPR IP cameras with Automatic number-plate recognition (ANPR) based on Deep Learning. The devices have a 2MP resolution, 2.8-12 mm varifocal optics, and IR LEDs with a range of 50 m. To cover the entrances and exits of each village in the target area, we strategically positioned the cameras. The locations are entrance to Pampaneira from the western part of the Alpujarra (PAM1), entrance to Pampaneira from the eastern part of the Alpujarra (PAM2), entrance to Bubión via a single road (BUB), and entrance to Capileira via a single road (CAP). The attached data in the CSV files DATA_VEHICLES_2022 and DATA_VEHICLES_2023 contain information about vehicle passages in the years 2022 (from February to December) and 2023 (from January to August) for each installed camera. It includes anonymized license plate information based on an identifier to facilitate cross-referencing and in-depth analysis. The collected variables include: camera_ID: License Plate Recognition (LPR) camera identifier. date: Timestamp indicating the date and time of the vehicle passage through the camera. num_plate_id: Anonymized license plate identifier. A value of -1 indicates that the vehicle was not correctly identified by the camera. direction: Binary value (IN/OUT) indicating whether the vehicle is entering or exiting the municipality referenced by the camera.
description: The research is funded by the Spanish Ministry of Economy and Competitiveness (Agencia Estatal de Investigacion) under grant number PID2019-109644RB-I00/AEI/10.13039/501100011033, and also by the project "Thematic Center on Mountain Ecosystem \& Remote sensing, Deep learning-AI e-Services University of Granada-Sierra Nevada'' (LifeWatch-2019-10-UGR-01), which has been co-funded by the Ministry of Science and Innovation through the FEDER funds from the Spanish Pluriregional Operational Program 2014-2020 (POPE), LifeWatch-ERIC action line. The project has also been co-financed by the Provincial Council of Granada.
DOI: 10.5281/zenodo.8356385
title: PoqueiraVehicleLPR: A Dataset of Vehicle Detection Sensors in the region of Barranco de Poqueira in the Alpujarra Granadina.

description: This dataset is linked to the analysis of different aspects related to the conservation of the Sierra Nevada National Park through advanced digital systems. The devices have been deployed along the road that passes through the municipalities of Pampaneira, Bubión and Capileira, in the Alpujarra region of Granada. Data is collected by 4 devices equipped with vehicle detection sensors. These devices are Hikvision LPR IP cameras with Automatic number-plate recognition (ANPR) based on Deep Learning. The devices have a 2MP resolution, 2.8-12 mm varifocal optics, and IR LEDs with a range of 50 m. To cover the entrances and exits of each village in the target area, we strategically positioned the cameras. The locations are entrance to Pampaneira from the western part of the Alpujarra (PAM1), entrance to Pampaneira from the eastern part of the Alpujarra (PAM2), entrance to Bubión via a single road (BUB), and entrance to Capileira via a single road (CAP). The attached data in the CSV files DATA_VEHICLES_2022 and DATA_VEHICLES_2023 contain information about vehicle passages in the years 2022 (from February to December) and 2023 (from January to August) for each installed camera. It includes anonymized license plate information based on an identifier to facilitate cross-referencing and in-depth analysis. The collected variables include: camera_ID: License Plate Recognition (LPR) camera identifier. date: Timestamp indicating the date and time of the vehicle passage through the camera. num_plate_id: Anonymized license plate identifier. A value of -1 indicates that the vehicle was not correctly identified by the camera. direction: Binary value (IN/OUT) indicating whether the vehicle is entering or exiting the municipality referenced by the camera.
description: The research is funded by the Spanish Ministry of Economy and Competitiveness (Agencia Estatal de Investigacion) under grant number PID2019-109644RB-I00/AEI/10.13039/501100011033, and also by the project "Thematic Center on Mountain Ecosystem \& Remote sensing, Deep learning-AI e-Services University of Granada-Sierra Nevada'' (LifeWatch-2019-10-UGR-01), which has been co-funded by the Ministry of Science and Innovation through the FEDER funds from the Spanish Pluriregional Operational Program 2014-2020 (POPE), LifeWatch-ERIC action line. The project has also been co-financed by the Provincial Council of Granada.
DOI: 10.13026/73s9-cw03
title: BIG IDEAs Lab Glycemic Variability and Wearable Device Data

description: This study aimed to determine the feasibility and effectiveness of wearable
devices in detecting early physiological changes prior to the development of
prediabetes [1-3]. The study generated digital biomarkers for remote, mHealth-
based prediabetes and hyperglycemia risk to classify which individuals should
undergo further clinical testing. The primary inclusion criteria were subjects
aged 35-65 years, inclusive, including only post-menopausal females, with a
point of care A1C measurement between 5.2-6.4%, inclusive. Blood was collected
during the study for measurement of glucose, hemoglobin A1C, lipoproteins, and
triglycerides. Participants wore a Dexcom 6 continuous glucose monitor (CGM)
and an Empatica E4 wristband for 10 days while receiving a standardized
breakfast meal every other day. At the end of the 10 days, the participant
returned to the clinic for an oral glucose tolerance test (OGTT). Research
data collected includes physiological measurements from wearable devices such
as heart rate, accelerometry, and electrodermal conductance.
DOI: 10.13026/d742-0j82
title: BIG IDEAs Lab Glycemic Variability and Wearable Device Data

description: This study aimed to determine the feasibility and effectiveness of wearable
devices in detecting early physiological changes prior to the development of
prediabetes [1-3]. The study generated digital biomarkers for remote, mHealth-
based prediabetes and hyperglycemia risk to classify which individuals should
undergo further clinical testing. The primary inclusion criteria were subjects
aged 35-65 years, inclusive, including only post-menopausal females, with a
point of care A1C measurement between 5.2-6.4%, inclusive. Blood was collected
during the study for measurement of glucose, hemoglobin A1C, lipoproteins, and
triglycerides. Participants wore a Dexcom 6 continuous glucose monitor (CGM)
and an Empatica E4 wristband for 10 days while receiving a standardized
breakfast meal every other day. At the end of the 10 days, the participant
returned to the clinic for an oral glucose tolerance test (OGTT). Research
data collected includes physiological measurements from wearable devices such
as heart rate, accelerometry, and electrodermal conductance.
DOI: 10.13026/e827-h193
title: BIG IDEAs Lab Glycemic Variability and Wearable Device Data

description: This study aimed to determine the feasibility and effectiveness of wearable
devices in detecting early physiological changes prior to the development of
prediabetes [1-3]. The study generated digital biomarkers for remote, mHealth-
based prediabetes and hyperglycemia risk to classify which individuals should
undergo further clinical testing. The primary inclusion criteria were subjects
aged 35-65 years, inclusive, including only post-menopausal females, with a
point of care A1C measurement between 5.2-6.4%, inclusive. Blood was collected
during the study for measurement of glucose, hemoglobin A1C, lipoproteins, and
triglycerides. Participants wore a Dexcom 6 continuous glucose monitor (CGM)
and an Empatica E4 wristband for 10 days while receiving a standardized
breakfast meal every other day. At the end of the 10 days, the participant
returned to the clinic for an oral glucose tolerance test (OGTT). Research
data collected includes physiological measurements from wearable devices such
as heart rate, accelerometry, and electrodermal conductance.
DOI: 10.13026/w591-tp72
title: BIG IDEAs Lab Glycemic Variability and Wearable Device Data

description: This study aimed to determine the feasibility and effectiveness of wearable
devices in detecting early physiological changes prior to the development of
prediabetes [1-3]. The study generated digital biomarkers for remote, mHealth-
based prediabetes and hyperglycemia risk to classify which individuals should
undergo further clinical testing. The primary inclusion criteria were subjects
aged 35-65 years, inclusive, including only post-menopausal females, with a
point of care A1C measurement between 5.2-6.4%, inclusive. Blood was collected
during the study for measurement of glucose, hemoglobin A1C, lipoproteins, and
triglycerides. Participants wore a Dexcom 6 continuous glucose monitor (CGM)
and an Empatica E4 wristband for 10 days while receiving a standardized
breakfast meal every other day. At the end of the 10 days, the participant
returned to the clinic for an oral glucose tolerance test (OGTT). Research
data collected includes physiological measurements from wearable devices such
as heart rate, accelerometry, and electrodermal conductance.
DOI: 10.13026/zthx-5212
title: BIG IDEAs Lab Glycemic Variability and Wearable Device Data

description: This study aimed to determine the feasibility and effectiveness of wearable
devices in detecting early physiological changes prior to the development of
prediabetes [1-3]. The study generated digital biomarkers for remote, mHealth-
based prediabetes and hyperglycemia risk to classify which individuals should
undergo further clinical testing. The primary inclusion criteria were subjects
aged 35-65 years, inclusive, including only post-menopausal females, with a
point of care A1C measurement between 5.2-6.4%, inclusive. Blood was collected
during the study for measurement of glucose, hemoglobin A1C, lipoproteins, and
triglycerides. Participants wore a Dexcom 6 continuous glucose monitor (CGM)
and an Empatica E4 wristband for 10 days while receiving a standardized
breakfast meal every other day. At the end of the 10 days, the participant
returned to the clinic for an oral glucose tolerance test (OGTT). Research
data collected includes physiological measurements from wearable devices such
as heart rate, accelerometry, and electrodermal conductance.
DOI: 10.6084/m9.figshare.23650023.v1
title: Data from Keiser et al - Beetle malacophagy

description: Collection information and morphology measurements for Cychrini beetles collected while eating their snail prey.
DOI: 10.25345/c5qb9vg6d
title: MassIVE MSV000092888 - Metabolomics Runs Raphael and Amira
title: Microflow metabolomics run of natural extracts, analyzed in Data dependent analysis.
DOI: 10.6084/m9.figshare.23650023
title: Data from Keiser et al - Beetle malacophagy

description: Collection information and morphology measurements for Cychrini beetles collected while eating their snail prey (excel file). Raw photographs used for analysis in Leica Microsystems software. The specimen ID in the filename corresponds to the specimen ID in the datasheet.
DOI: 10.6084/m9.figshare.23650023.v2
title: Data from Keiser et al - Beetle malacophagy

description: Collection information and morphology measurements for Cychrini beetles collected while eating their snail prey.
DOI: 10.5281/zenodo.8356406
title: Mapping Seyahatname-i Hudud_Baghdad and Basra Chapters

description: This dataset lists the location information of place names mentioned in the Baghdad and Basra chapters of <em>Seyahatname-i Hudud</em>.
DOI: 10.5281/zenodo.8356407
title: Mapping Seyahatname-i Hudud_Baghdad and Basra Chapters

description: This dataset lists the location information of place names mentioned in the Baghdad and Basra chapters of <em>Seyahatname-i Hudud</em>.
DOI: 10.5281/zenodo.8356448
title: Mapping Seyahatname-i Hudud_Baghdad and Basra Chapters

description: This dataset lists the location information of place names mentioned in the Baghdad and Basra chapters of <em>Seyahatname-i Hudud</em>.
DOI: 10.5281/zenodo.8356455
title: Mapping Seyahatname-i Hudud_Baghdad and Basra Chapters

description: This dataset lists the location information of place names mentioned in the Baghdad and Basra chapters of <em>Seyahatname-i Hudud</em>.
DOI: 10.6084/m9.figshare.24049662
title: Dataset for study titled "Mind-wandering & its relationship with psychological wellbeing & obsessive-compulsive symptomatology in the context of covid-19"

description: This file represents the raw data collcted as part of the above-named research study.
DOI: 10.6069/vbsn-6k93
title: Proteogenomic analysis of chemo-refractory high grade serous ovarian cancer

description: To improve our understanding of the molecular basis of chemo-refractory high grade serous ovarian cancers (HGSOCs), we characterized the proteogenomic landscape of 242 (refractory and sensitive) HGSOCs, representing one discovery and two independent validation cohorts (spanning four academic centers) and utilizing two biospecimen types (formalin-fixed paraffin-embedded and frozen tumor biopsies). As the largest and most comprehensive study of refractory ovarian cancers to date, this effort identified a 64-protein signature that predicts a subset of HGSOCs refractory to initial platinum-based therapy with high specificity and is validated in two independent patient cohorts. We also detected significant association between lack of Ch17 loss-of-heterozygosity and refractory disease. Moreover, based on protein pathway expression, five novel clusters of HGSOC were identified and validated across two independent patient cohorts, as well as in patient-derived xenograft (PDX) models. These clusters may represent different mechanisms of refractoriness and implicate putative therapeutic targets.
DOI: 10.5517/ccdc.csd.cc2gjxkh
title: CCDC 2280377: Experimental Crystal Structure Determination

description: Related Article: Mohammad Sayed Alam, Junaid Uddin Ahmed|2023|J.Mol.Struct.|1294|136504|doi:10.1016/j.molstruc.2023.136504
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24156828.v1
title: Final Paper Data

description: This dataset includes all merged raw data files, as well as the measures of expenditure cyclicality generated for the paper.
DOI: 10.6084/m9.figshare.24156828
title: Final Paper Data

description: This dataset includes all merged raw data files, as well as the measures of expenditure cyclicality generated for the paper.
DOI: 10.6084/m9.figshare.24156819
title: All raw data files

description: These raw data files are all publicly available and are merged together to produce the dataset which I work with in this project. Sources for each dataset are present in the paper.
DOI: 10.6084/m9.figshare.24156819.v1
title: All raw data files

description: These raw data files are all publicly available and are merged together to produce the dataset which I work with in this project. Sources for each dataset are present in the paper.
DOI: 10.15468/dl.y3myx9
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monanthotaxis sororia (Diels) Verdc."
 ]
}

 The dataset includes 38 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058620-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58a79g
title: Occurrence Download

description: A dataset containing 455 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mussaenda divaricata Hutch."
 ]
}

 The dataset includes 455 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058622-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y25ggs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus melanorhinus Bocourt, 1876",
 "Geometry POLYGON((-124.756451627043 24.5232175268442, -124.756451627043 49.3844869955705, -66.9490903544593 49.3844869955705, -66.9490903544593 24.5232175268442, -124.756451627043 24.5232175268442))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058621-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nv3hqp
title: Occurrence Download

description: A dataset containing 1704 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neolamarckia cadamba (Roxb.) Bosser"
 ]
}

 The dataset includes 1704 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058623-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8wnhk
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neuracanthus tephrophyllus Bidgood & Brummitt"
 ]
}

 The dataset includes 42 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058624-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4c2sz2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myriophyllum coronatum Meijden"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058625-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwwf94
title: Occurrence Download

description: A dataset containing 9140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontites litoralis (Fr.) Fr."
 ]
}

 The dataset includes 9140 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058626-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj5t9z
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monanthotaxis stenosepala (Engl. & Diels) Verdc."
 ]
}

 The dataset includes 32 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058627-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhxvmc
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mussaenda dranensis Wernham"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058629-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvya5m
title: Occurrence Download

description: A dataset containing 7564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus poinsettii Baird & Girard, 1852",
 "Geometry POLYGON((-124.756451627043 24.5232175268442, -124.756451627043 49.3844869955705, -66.9490903544593 49.3844869955705, -66.9490903544593 24.5232175268442, -124.756451627043 24.5232175268442))"
 ]
}

 The dataset includes 7564 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058628-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10795639
title: Figure 4: The Pacer RH domain basic triad controls subcellular localization [FINAL]
DOI: 10.5281/zenodo.10795638
title: Figure 4: The Pacer RH domain basic triad controls subcellular localization [FINAL]
DOI: 10.5281/zenodo.10896135
title: Figure 4: The Pacer RH domain basic triad controls subcellular localization [FINAL]
DOI: 10.15468/dl.aaps8r
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neolamarckia macrophylla (Roxb.) Bosser"
 ]
}

 The dataset includes 75 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058630-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4uzq6
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neuracanthus tetragonostachyus Nees"
 ]
}

 The dataset includes 97 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058631-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgj87m
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myriophyllum dicoccum F.Muell."
 ]
}

 The dataset includes 223 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058632-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx97uc
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monanthotaxis sterilis P.H.Hoekstra"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058633-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asr2f7
title: Occurrence Download

description: A dataset containing 1448 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mussaenda elegans Schumach. & Thonn."
 ]
}

 The dataset includes 1448 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058634-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.