cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26391688.v1
title: Supplementary Material for: Mortality of epilepsy in Chinese populations: a comprehensive review

description: Background: Premature mortality is a significant part of the epilepsy burden and may vary across populations, especially between high-income and lower- and middle-income countries. People with epilepsy in China are approximately a fifth of the global population with epilepsy. Previous studies were unlikely to represent the situation in China due to limitations in design, methods, sample size, follow-up time, and other inherent population heterogeneity. 
Summary: By summarising the evidence on the mortality characteristics in Chinese populations with epilepsy in the last six decades, we found a median mortality rate of 14.7 (6.8-74.4)/1000 person-years and a median standardised mortality ratio (SMR) of 4.4 (2.6-12.9) in population-based studies, and a median mortality rate of 12.3 (9.5-101.5)/1000 person-years and a median SMR of 3.0 (1.5-5.1) in hospital-based studies. Vascular diseases, complications of diabetes, and accidental injuries were the leading causes of death. Risk factors for mortality were reported as older age, male, longer duration and higher frequency of seizures. Case fatality ratios of status epilepticus (SE) in adults were higher than in children, and both increased with follow-up time. Mortality in people with symptomatic epilepsy was high and varied across different primary diseases.
Key Messages: The highest mortality rate and sudden unexpected death in epilepsy (SUDEP) incidence were reported from the least developed areas in China. Accidental injuries were the most common causes of epilepsy-related deaths, while the incidence of SUDEP may be underestimated in Chinese populations. Further research is warranted to improve the understanding of premature mortality risk so that preventative measures can be introduced to improve the situation.
DOI: 10.57777/kgm2024000018
title: 니켈 광산(평안북도 운송)
DOI: 10.15468/dl.x6juag
title: Occurrence Download

description: A dataset containing 716093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-78.0856 -0.24105,-76.93377 -0.44936,-75.41433 -1.00077,-75.25095 -1.07838,-75.16517 -1.04979,-75.12024 -0.58824,-75.3939 -0.24105,-75.14883 -0.20021,-75.35306 0.05303,-75.85137 0.30219,-76.30067 0.48599,-76.47222 0.3512,-76.80306 0.35529,-77.428 0.51867,-77.91814 0.59628,-78.0856 -0.24105))",
 "OccurrenceStatus is Present",
 "Year 2010-2024"
 ]
}

 The dataset includes 716093 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040625-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ug5xvc
title: Occurrence Download

description: A dataset containing 3761 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mountain Invasion Research Network (MIREN) survey"
 ]
}

 The dataset includes 3761 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040631-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmugc8
title: Occurrence Download

description: A dataset containing 2015234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Odonata"
 ]
}

 The dataset includes 2015234 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040626-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2cpdbv
title: Occurrence Download

description: A dataset containing 3761 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mountain Invasion Research Network (MIREN) survey"
 ]
}

 The dataset includes 3761 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040632-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjrkdh
title: Occurrence Download

description: A dataset containing 1056003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-06-02",
 "EventDate is less than or equal to 2024-07-02",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 1056003 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040622-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4r6cf
title: Occurrence Download

description: A dataset containing 2340119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "Country is Australia",
 "GadmGid is AUS.7_1",
 "OccurrenceStatus is Present",
 "Year 2023-2023"
 ]
}

 The dataset includes 2340119 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040630-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e208172
title: Comparing College Students’ Mood States among Immersive Virtual Reality, Non-Immersive Virtual Reality, and Traditional Biking Exercise

description: <b>Objectives</b><b> </b>This study examined differences in young adults’ mood states during immersive virtual reality (VR), non-immersive VR, and traditional exercise biking sessions. <b>Design</b> Repeated-measure study design. <br><b><br>Methods</b><b> </b>Forty-nine college students (34 females; Mage=23.6 years) completed three separate 20-minute exercise biking sessions: (1) immersive VR biking using the PlayStation 4 + VirZoom VR bike; (2) non-immersive VR biking using the Gamercize bike + Xbox 360; and (3) traditional stationary biking using the Spirit Fitness XBU55. Participants’ mood states (anger, confusion, depression, fatigue, tension, and vigor) were assessed by using the Brunel Mood Scale after each session. <br><b><br>Results</b><b> </b>Statistically significant differences were observed between biking sessions for all components of mood [F (2, 96) = 3.84–278.56, p &lt; 0.05, h2 = 0.07–0.85], except for tension (p &gt; 0.05). Results indicated non-immersive VR biking yielded significantly higher anger compared to immersive VR biking; non-immersive VR biking yielded significantly higher confusion compared to immersive VR biking and traditional biking, respectively; immersive VR biking yielded significantly lower depression compared to traditional biking; both immersive VR biking and non-immersive VR biking yielded significantly lower fatigue compared to traditional biking; and immersive VR biking yielded significantly higher vigor compared to non-immersive VR biking) and traditional biking, respectively. <br><b><br>Conclusion</b><b> </b>Findings suggested the immersive VR-based biking exercise may facilitate in reducing the negative feelings, such as anger, fatigue, depression, and improving positive feeling, such as vigor, among college students. The immersive VR-based exercise appeared to be a feasible approach for motivating college students participating in physical activity and improving overall mood states.
DOI: 10.3886/e208172v1
title: Comparing College Students’ Mood States among Immersive Virtual Reality, Non-Immersive Virtual Reality, and Traditional Biking Exercise

description: <b>Objectives</b><b> </b>This study examined differences in young adults’ mood states during immersive virtual reality (VR), non-immersive VR, and traditional exercise biking sessions. <b>Design</b> Repeated-measure study design. <br><b><br>Methods</b><b> </b>Forty-nine college students (34 females; Mage=23.6 years) completed three separate 20-minute exercise biking sessions: (1) immersive VR biking using the PlayStation 4 + VirZoom VR bike; (2) non-immersive VR biking using the Gamercize bike + Xbox 360; and (3) traditional stationary biking using the Spirit Fitness XBU55. Participants’ mood states (anger, confusion, depression, fatigue, tension, and vigor) were assessed by using the Brunel Mood Scale after each session. <br><b><br>Results</b><b> </b>Statistically significant differences were observed between biking sessions for all components of mood [F (2, 96) = 3.84–278.56, p &lt; 0.05, h2 = 0.07–0.85], except for tension (p &gt; 0.05). Results indicated non-immersive VR biking yielded significantly higher anger compared to immersive VR biking; non-immersive VR biking yielded significantly higher confusion compared to immersive VR biking and traditional biking, respectively; immersive VR biking yielded significantly lower depression compared to traditional biking; both immersive VR biking and non-immersive VR biking yielded significantly lower fatigue compared to traditional biking; and immersive VR biking yielded significantly higher vigor compared to non-immersive VR biking) and traditional biking, respectively. <br><b><br>Conclusion</b><b> </b>Findings suggested the immersive VR-based biking exercise may facilitate in reducing the negative feelings, such as anger, fatigue, depression, and improving positive feeling, such as vigor, among college students. The immersive VR-based exercise appeared to be a feasible approach for motivating college students participating in physical activity and improving overall mood states.
DOI: 10.15468/dl.edngu4
title: Occurrence Download

description: A dataset containing 175703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solidago gigantea Aiton)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 175703 records from 638 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040624-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14007511
title: Challenges in alpine soil recovery: the minor effect of grass restoration on microbial resource limitation
DOI: 10.5281/zenodo.14007512
title: Challenges in alpine soil recovery: the minor effect of grass restoration on microbial resource limitation
DOI: 10.5281/zenodo.13990325
title: Earth System Model-based Life Cycle Assessment of Ocean Alkalinity Enhancement

description: “Fig2data.xlsx”, “Fig5data.xlsx” and “Fig4data.xlsx” are the original data to create Fig.2, Fig.3 and Fig.5. The data are calculated from UVic results.

“Fig4.txt” is the code to create Fig.4 by Pyferret from UVic results.

“X.f” are the update codes in our UVic model.
DOI: 10.5281/zenodo.13990326
title: Earth System Model-based Life Cycle Assessment of Ocean Alkalinity Enhancement

description: “Fig2data.xlsx”, “Fig5data.xlsx” and “Fig4data.xlsx” are the original data to create Fig.2, Fig.3 and Fig.5. The data are calculated from UVic results.

“Fig4.txt” is the code to create Fig.4 by Pyferret from UVic results.

“X.f” are the update codes in our UVic model.
DOI: 10.15468/dl.gphkqk
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mittenothamnium simorhynchum (Hampe) Cardot"
 ]
}

 The dataset includes 28 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010572-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjy3q2
title: Occurrence Download

description: A dataset listing the 176 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((18.04044 -32.79972,18.07663 -32.79901,18.07616 -32.77887,18.04005 -32.78005,18.04044 -32.79972))"
 ]
}

 The dataset's 176 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010546-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14007438
title: Benchmark instances and models for the Oven Scheduling Problem

description: This dataset contains benchmark instances for the Oven Scheduling Problem that was introduced by the authors in Lackner, M.-L., Mrkvicka, C., Musliu, N., Walkiewicz, D., Winter, F., Minimizing Cumulative Batch Processing Time for an Industrial Oven Scheduling Problem. In: 27th International Conference on Principles and Practice of Constraint Programming (CP 2021). Moreover, MiniZinc models and CP Optimizer models as well as the solutions found for the benchmark set are provided.
description: The financial support by the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association is gratefully acknowledged.
DOI: 10.5281/zenodo.7456937
title: Benchmark instances and models for the Oven Scheduling Problem

description: This dataset contains benchmark instances for the Oven Scheduling Problem that was introduced by the authors in Lackner, M.-L., Mrkvicka, C., Musliu, N., Walkiewicz, D., Winter, F., Minimizing Cumulative Batch Processing Time for an Industrial Oven Scheduling Problem. In: 27th International Conference on Principles and Practice of Constraint Programming (CP 2021). Moreover, MiniZinc models and CP Optimizer models as well as the solutions found for the benchmark set are provided.
description: The financial support by the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association is gratefully acknowledged.
DOI: 10.5281/zenodo.7456938
title: Benchmark instances and models for the Oven Scheduling Problem

description: This dataset contains benchmark instances for the Oven Scheduling Problem that was introduced by the authors in Lackner, M.-L., Mrkvicka, C., Musliu, N., Walkiewicz, D., Winter, F., <em>Minimizing Cumulative Batch Processing Time for an Industrial Oven Scheduling Problem</em>. In: 27th International Conference on Principles and Practice of Constraint Programming (CP 2021). Moreover, MiniZinc models and CP Optimizer models as well as the solutions found for the benchmark set are provided.
description: The financial support by the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association is gratefully acknowledged.
DOI: 10.15468/dl.zrytwg
title: Occurrence Download

description: A dataset containing 658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 658 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010573-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55hvzf
title: Occurrence Download

description: A dataset containing 164968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus nigra L."
 ]
}

 The dataset includes 164968 records from 1738 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010539-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rx58ft
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachystegia nigerica Hoyle & A.P.D.Jones"
 ]
}

 The dataset includes 99 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000048-250127115337998/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/d4d85124c8654490
title: Custom collection of categorize data from Potenza between 1 Jul 2023 and 6 Jan 2025
DOI: 10.15468/dl.n4tv2q
title: Occurrence Download

description: A dataset containing 6814 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castanea mollissima Blume"
 ]
}

 The dataset includes 6814 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000050-250127115337998/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4b2gy
title: Occurrence Download

description: A dataset containing 1151 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castanopsis sclerophylla (Lindl. & Paxton) Schottky"
 ]
}

 The dataset includes 1151 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000051-250127115337998/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/2a9cb0f2eb07490d
title: Custom collection of categorize data from Punta Arenas between 27 Nov 2018 and 30 Nov 2021
DOI: 10.14473/csda/xmveqg
title: „Důvěra a dostupnost zdravotnického systému“ v rámci projektu SYRI PA6 Efektivita zdravotního systému 1
title: 23-04b

description: Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR, v.v.i., v rámci výzkumu „Naše společnost 2022". Sběr dat provedla tazatelská síť CVVM.
description: DATA A INFORMACE K TOMUTO VÝZKUMU JSOU ZATÍM PŘÍSTUPNÁ POUZE PRO VÝZKUMNÍKY PROJEKTU SYRI. PO UKONČENÍ TOHOTO PROJEKTU (KONEC ROKU 2025) BUDOU DATA A VŠECHNY DALŠÍ DOKUMENTY ZVEŘEJNĚNY PRO OSTATNÍ UŽIVATELE DATOVÉHO ARCHIVU.
description: Naše společnost
DOI: 10.60656/78cd26e9b0e54ca8
title: Custom collection of categorize data from RV Polarstern between 11 Oct 2019 and 30 Sep 2020
DOI: 10.60656/0ee1c3a384b2449a
title: Custom collection of categorize data from Rzecin between 4 Dec 2023 and 30 Sep 2024
DOI: 10.5284/1125986
title: Data from a Route Wide Woodland Historic Landscape Characterisation at Windmill Hill Spinney, Warwickshire, 2021 (HS2 Phase One)

description: This collection comprises of an interim report, site records and photographs from a route wide woodland historic landscape characterisation carried out by INFRA Archaeology at Windmill Hill Spinney, Northamptonshire during April 2021.
DOI: 10.60656/dbe6b8baa5e142c6
title: Custom collection of categorize data from Savilahti between 10 Sep and 23 Nov 2020
DOI: 10.6084/m9.figshare.28286966
title: Análisis_actividades_formativas_ApS.xls

description: Análisis de actividades de formación docente sobre aprendizaje-servicio en las universidades españolas.
DOI: 10.6084/m9.figshare.28286966.v1
title: Análisis_actividades_formativas_ApS.xls

description: Análisis de actividades de formación docente sobre aprendizaje-servicio en las universidades españolas.
DOI: 10.60656/1950a05e666e4c0b
title: Custom collection of categorize data from Schneefernerhaus between 1 Oct 2018 and 2 Jan 2025
DOI: 10.15468/dl.4dn5zp
title: Occurrence Download

description: A dataset containing 1834 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castanospermum australe A.Cunn. ex Mudie"
 ]
}

 The dataset includes 1834 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000054-250127115337998/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17172/nomad/2024.09.24-1
title: Perovskite Solar Cell Database Project
DOI: 10.60656/cfbeb1d8192742ae
title: Custom collection of categorize data from Soverato between 24 Jun and 9 Nov 2021
DOI: 10.15468/dl.bgxkcw
title: Occurrence Download

description: A dataset containing 26863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is France",
 "Month is August",
 "OccurrenceStatus is Present",
 "TaxonKey is Parus major Linnaeus, 1758",
 "Year 2010-2020"
 ]
}

 The dataset includes 26863 records from 603 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000053-250127115337998/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/37f1e4df81c84acb
title: Custom collection of categorize data from Vehmasmäki between 20 Jun 2022 and 6 Jan 2025
DOI: 10.15468/dl.fewc53
title: Occurrence Download

description: A dataset containing 674 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Casuarina glauca Sieber"
 ]
}

 The dataset includes 674 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000058-250127115337998/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t489aa
title: Occurrence Download

description: A dataset containing 14165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Casuarina cunninghamiana Miq."
 ]
}

 The dataset includes 14165 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000057-250127115337998/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6ygth
title: Occurrence Download

description: A dataset containing 508 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Catalpa bungei C.A.Mey."
 ]
}

 The dataset includes 508 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000059-250127115337998/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13896100
title: Distributional data for Lined Seedeaters (Sporophila lineola) and Saffron Finches (Sicalis flaveola)

description: Distributional data for Lined Seedeaters (Sporophila lineola) and Saffron Finches (Sicalis flaveola). Data compiled from the literature, zoological collections, and community science platforms.
DOI: 10.5281/zenodo.13896099
title: Distributional data for Lined Seedeaters (Sporophila lineola) and Saffron Finches (Sicalis flaveola)

description: Distributional data for Lined Seedeaters (Sporophila lineola) and Saffron Finches (Sicalis flaveola). Data compiled from the literature, zoological collections, and community science platforms.
DOI: 10.5281/zenodo.14748214
title: Distributional data for Lined Seedeaters (Sporophila lineola) and Saffron Finches (Sicalis flaveola)

description: Distributional data for Lined Seedeaters (Sporophila lineola) and Saffron Finches (Sicalis flaveola). Data compiled from the literature, zoological collections, and community science platforms.