cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28246253
title: Supplementary Material for: Global burden of Alzheimer's disease and other dementias during 1990-2021: a Global Burden of Disease and Risk Factors Study 2021-based study

description: Introduction: In most countries and territories, current data on the burden of Alzheimer's disease (AD) and other dementias are lacking. We aimed to assess the trends, burden, and inequalities of AD and other dementias at global, regional, and national level from 1990 to 2021. Methods: The data on disease burden of AD and other dementias during 1990-2021 were extracted from Global Burden of Disease and Risk Factors Study 2021 (GBD 2021). Average annual percentage changes (AAPCs) of age-standardized prevalence, mortality, and disability adjusted life years (DALYs) were estimated as an indicator to evaluate the healthcare system. Result: The global age-standardized prevalence of AD and other dementias increased from 672 (95% uncertainty interval: 589 to 764) per 100,000 population in 1990 to 694 (603 to 794) per 100,000 population in 2021, with AAPCs of 0.09% (95% confidence interval: 0.06% to 0.11%). However, age-standardized mortality did not change (AAPCs: 0.00% (−0.01% to 0.02%)) and age-standardized DALYs slightly increased from 446 (206 to 958) to 451 (213 to 950) per 100,000 population (AAPCs: 0.01% (0.00% to 0.03%). While the highest prevalence remained in population aged 65-69 and the countries with a high-middle socio-demographic index (SDI) such as East Asia (e.g., China), the highest mortality and DALYs were found in population aged 65-69 and the countries with a low-middle SDI such as South Asia (e.g., India). High fasting plasma glucose ranked the highest risk factor for DALYs during 1990-2021. Conclusion: The global increased prevalence of AD and other dementias may partly be attributed to population aged 65-69 in the countries with a high-middle SDI (e.g., China), whereas mortality and DALY ratio of population aged 65-69 from the countries with a low-middle SDI (e.g., India) is the most significantly growing. Controlling of high fasting plasma glucose may be needed for the reduction of DALYs from AD and other dementias.
DOI: 10.6084/m9.figshare.28246253.v2
title: Supplementary Material for: Global burden of Alzheimer's disease and other dementias during 1990-2021: a Global Burden of Disease and Risk Factors Study 2021-based study

description: Introduction: In most countries and territories, current data on the burden of Alzheimer's disease (AD) and other dementias are lacking. We aimed to assess the trends, burden, and inequalities of AD and other dementias at global, regional, and national level from 1990 to 2021. Methods: The data on disease burden of AD and other dementias during 1990-2021 were extracted from Global Burden of Disease and Risk Factors Study 2021 (GBD 2021). Average annual percentage changes (AAPCs) of age-standardized prevalence, mortality, and disability adjusted life years (DALYs) were estimated as an indicator to evaluate the healthcare system. Result: The global age-standardized prevalence of AD and other dementias increased from 672 (95% uncertainty interval: 589 to 764) per 100,000 population in 1990 to 694 (603 to 794) per 100,000 population in 2021, with AAPCs of 0.09% (95% confidence interval: 0.06% to 0.11%). However, age-standardized mortality did not change (AAPCs: 0.00% (−0.01% to 0.02%)) and age-standardized DALYs slightly increased from 446 (206 to 958) to 451 (213 to 950) per 100,000 population (AAPCs: 0.01% (0.00% to 0.03%). While the highest prevalence remained in population aged 65-69 and the countries with a high-middle socio-demographic index (SDI) such as East Asia (e.g., China), the highest mortality and DALYs were found in population aged 65-69 and the countries with a low-middle SDI such as South Asia (e.g., India). High fasting plasma glucose ranked the highest risk factor for DALYs during 1990-2021. Conclusion: The global increased prevalence of AD and other dementias may partly be attributed to population aged 65-69 in the countries with a high-middle SDI (e.g., China), whereas mortality and DALY ratio of population aged 65-69 from the countries with a low-middle SDI (e.g., India) is the most significantly growing. Controlling of high fasting plasma glucose may be needed for the reduction of DALYs from AD and other dementias.
DOI: 10.6084/m9.figshare.28246253.v1
title: Supplementary Material for: Global burden of Alzheimer's disease and other dementias during 1990-2021: a Global Burden of Disease and Risk Factors Study 2021-based study

description: Introduction: In most countries and territories, current data on the burden of Alzheimer's disease (AD) and other dementias are lacking. We aimed to assess the trends, burden, and inequalities of AD and other dementias at global, regional, and national level from 1990 to 2021. Methods: The data on disease burden of AD and other dementias during 1990-2021 were extracted from Global Burden of Disease and Risk Factors Study 2021 (GBD 2021). Average annual percentage changes (AAPCs) of age-standardized prevalence, mortality, and disability adjusted life years (DALYs) were estimated as an indicator to evaluate the healthcare system. Result: The global age-standardized prevalence of AD and other dementias increased from 672 (95% uncertainty interval: 589 to 764) per 100,000 population in 1990 to 694 (603 to 794) per 100,000 population in 2021, with AAPCs of 0.09% (95% confidence interval: 0.06% to 0.11%). However, age-standardized mortality did not change (AAPCs: 0.00% (−0.01% to 0.02%)) and age-standardized DALYs slightly increased from 446 (206 to 958) to 451 (213 to 950) per 100,000 population (AAPCs: 0.01% (0.00% to 0.03%). While the highest prevalence remained in population aged 65-69 and the countries with a high-middle socio-demographic index (SDI) such as East Asia (e.g., China), the highest mortality and DALYs were found in population aged 65-69 and the countries with a low-middle SDI such as South Asia (e.g., India). High fasting plasma glucose ranked the highest risk factor for DALYs during 1990-2021. Conclusion: The global increased prevalence of AD and other dementias may partly be attributed to population aged 65-69 in the countries with a high-middle SDI (e.g., China), whereas mortality and DALY ratio of population aged 65-69 from the countries with a low-middle SDI (e.g., India) is the most significantly growing. Controlling of high fasting plasma glucose may be needed for the reduction of DALYs from AD and other dementias.
DOI: 10.18434/mds2-2313
title: NIST DART-MS Forensics Database (is-CID)
DOI: 10.15468/dl.acx24g
title: Occurrence Download

description: A dataset containing 98092 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triglochin maritima L."
 ]
}

 The dataset includes 98092 records from 711 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019257-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-10.1879213/2366051
title: Data for EMSL Project 48666 from October 2019
DOI: 10.15468/dl.gxp9jr
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-140.61112 72.0391,-166.49327 70.07337,-162.07037 52.95511,-132.99391 54.42941,-123.16524 54.01988,-118.169 56.72276,-118.66044 63.1933,-116.94042 56.64086,-111.20703 57.70563,-109.15939 63.27521,-113.99182 69.66384,-132.17485 71.79338,-140.61112 72.0391))",
 "TaxonKey is Osmia nigriventris (Zetterstedt, 1838)"
 ]
}

 The dataset includes 205 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051188-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdivyi
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Disa katangensis De Wild."
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010295-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-10.1875940/2366052
title: Data for EMSL Project 48666 from October 2019
DOI: 10.15468/dl.xpuqst
title: Occurrence Download

description: A dataset containing 1020 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ptilinopus aurantiifrons G.R.Gray, 1858"
 ]
}

 The dataset includes 1020 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029157-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4j9bq
title: Occurrence Download

description: A dataset listing the 9767 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 {
 "or" : [
 "Year is 2020",
 "Year is 2022"
 ]
 },
 "StateProvince is one of (antioquia, santander)"
 ]
 }
 ]
}

 The dataset's 9767 records were derived from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051180-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1937575/2366053
title: Data for EMSL Project 48666 from January 2020
DOI: 10.15468/dl.tu8253
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.3796 4.39384,-75.36655 4.39659,-75.35694 4.39522,-75.359 4.40277,-75.36278 4.44809,-75.37617 4.44397,-75.40844 4.43779,-75.41187 4.39178,-75.3796 4.39384))",
 "HasCoordinate is true",
 "TaxonKey is Mammalia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014718-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jp5aj6
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dypsis canaliculata (Jum.) Beentje & J.Dransf."
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029197-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-10.1858653/2366054
title: Data for EMSL Project 48666 from October 2019
DOI: 10.15468/dl.fcbhkv
title: Occurrence Download

description: A dataset containing 108853 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Digitaria sanguinalis (L.) Scop."
 ]
}

 The dataset includes 108853 records from 1109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029106-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7bgn2
title: Occurrence Download

description: A dataset containing 1088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Morella pubescens (Humb. & Bonpl. ex Willd.) Wilbur"
 ]
}

 The dataset includes 1088 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051192-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24uu8d
title: Occurrence Download

description: A dataset containing 26785129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26785129 records from 3601 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029105-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/5tn6tn
title: Checklist of the flora of Mirzachul (Hungry Steppe)

description: The Hungry Steppe (Mirzachul) is located on the left bank of the Syrdarya River in its middle reaches, between the throat of the Fergana valley, the desert Kyzylkum and foothills of Turkestan and Malguzar ranges (between 41°05’N 68°03’E and 40°11’N 69°18’E). This is an alluvial-proluvial plain with an area of about 10,000 km2, elevations of 230-360 m a.s.l. and nearly flat to slightly inclined terrain. According to the Köppen climate classification, the climate is cold semi-arid (BSk) characterized by hot and dry summers and mild winters with moderate frost. According to the scheme of phytochoria of Uzbekistan, this area belongs to Mirzachul phytogeographical region of the Middle Syrdarya district of Turan province (Tojibaev et al., 2017).
The Hungry Steppe (Mirzachul) includes the entire Syrdarya Region and the northeastern part of the Jizzakh Region of Uzbekistan, and the southeastern part of the Turkestan (formerly South Kazakhstan) Region of Kazakhstan. Mirzachul is one of the regions of Central Asia most strongly transformed by human activity.
The checklist of the flora of Mirzachul was compiled by the Institute of Botany of the Academy of Sciences of Uzbekistan within the framework of inventory of the flora of Syrdarya and Jizzakh regions. The checklist is based on published data, field surveys and revision of herbarium specimens stored in the National Herbarium of Uzbekistan (TASH). It includes 932 species of vascular plants.
In the past, the Hungry Steppe was an almost waterless clayey piedmont desert with fragments of sandy desert and several saline depressions. In the 1960s, the Hungry Steppe was developed for agriculture as a result of a large-scale irrigation program, and natural habitats of this region were almost totally transformed. Currently, the plain of Mirzachul is dissected by a network of irrigation and drainage channels and occupied with croplands, fallow lands, orchards and settlements. Only small patches of natural ecosystems of clayey and sandy desert, saline lands, wetlands and riparian (tugay) vegetation remain in this region. In this connection, synanthropic species account for almost 40% of the flora, and over 10% of the flora are alien species. At least 28–30 species that were recorded in the Hungry Steppe in the past, before their agricultural development, have now disappeared from this region due to habitat loss.
DOI: 10.5281/zenodo.14058464
title: YDS Upload 10

description: Generated by yammbs-dataset-submission: https://github.com/openforcefield/yammbs-dataset-submission/pull/10
DOI: 10.5281/zenodo.14058465
title: YDS Upload 10

description: Generated by yammbs-dataset-submission: https://github.com/openforcefield/yammbs-dataset-submission/pull/10
DOI: 10.6084/m9.figshare.27701988
title: Supplementary Material 1. "Geometric morphometrics of donacids from Brazil reveals a new species, <i>Donax trapesialis</i> n. sp. from Northeastern coast"

description: Photographs of 147 Brazilian <i>Donax</i> specimens from the states of Sergipe and São Paulo. Abbreviations: AT = Atalaia beach; RO = Robalo beach; MO = Mosqueiro beach; SA = Santos-SP; SB = São Sebastião-SP. Raw data with landmarks for allignment in R as well as for analyses in MorphoJ are also provided, including scripts and complimentary files.
DOI: 10.6084/m9.figshare.27701988.v1
title: Supplementary Material 1. "Geometric morphometrics of donacids from Brazil reveals a new species, <i>Donax trapesialis</i> n. sp. from Northeastern coast"

description: Photographs of 147 Brazilian <i>Donax</i> specimens from the states of Sergipe and São Paulo. Abbreviations: AT = Atalaia beach; RO = Robalo beach; MO = Mosqueiro beach; SA = Santos-SP; SB = São Sebastião-SP. Raw data with landmarks for allignment in R as well as for analyses in MorphoJ are also provided, including scripts and complimentary files.
DOI: 10.15468/dl.x93tn3
title: Occurrence Download

description: A dataset containing 982 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Virola venosa (Benth.) Warb., Myristica venosa Benth.)"
 ]
}

 The dataset includes 982 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013015-241107131044228/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.27074921
title: Large-Scale Low-Rank Gaussian Process Prediction with Support Points

description: Low-rank approximation is a popular strategy to tackle the “big <i>n</i> problem” associated with large-scale Gaussian process regressions. Basis functions for developing low-rank structures are crucial and should be carefully specified. Predictive processes simplify the problem by inducing basis functions with a covariance function and a set of knots. The existing literature suggests certain practical implementations of knot selection and covariance estimation; however, theoretical foundations explaining the influence of these two factors on predictive processes are lacking. In this article, the asymptotic prediction performance of the predictive process and Gaussian process predictions are derived and the impacts of the selected knots and estimated covariance are studied. The use of support points as knots, which best represent data locations, is advocated. Extensive simulation studies demonstrate the superiority of support points and verify our theoretical results. Real data of precipitation and ozone are used as examples, and the efficiency of our method over other widely used low-rank approximation methods is verified. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.27074921.v1
title: Large-Scale Low-Rank Gaussian Process Prediction with Support Points

description: Low-rank approximation is a popular strategy to tackle the “big <i>n</i> problem” associated with large-scale Gaussian process regressions. Basis functions for developing low-rank structures are crucial and should be carefully specified. Predictive processes simplify the problem by inducing basis functions with a covariance function and a set of knots. The existing literature suggests certain practical implementations of knot selection and covariance estimation; however, theoretical foundations explaining the influence of these two factors on predictive processes are lacking. In this article, the asymptotic prediction performance of the predictive process and Gaussian process predictions are derived and the impacts of the selected knots and estimated covariance are studied. The use of support points as knots, which best represent data locations, is advocated. Extensive simulation studies demonstrate the superiority of support points and verify our theoretical results. Real data of precipitation and ozone are used as examples, and the efficiency of our method over other widely used low-rank approximation methods is verified. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.15468/dl.jchxjj
title: Occurrence Download

description: A dataset containing 21869319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosaceae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21869319 records from 7366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012991-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/63bt55
title: Taxonomic studies on the genus Delphinium (Ranunculaceae) from China (XXII): Clarifying morphological distinction between D. drepanocentrum and D. umbrosum and synonymizing D. umbrosoides with D. drepanocentrum

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yuan, Qiong, Yang, Qin-Er (2022): Taxonomic studies on the genus Delphinium (Ranunculaceae) from China (XXII): Clarifying morphological distinction between D. drepanocentrum and D. umbrosum and synonymizing D. umbrosoides with D. drepanocentrum. Phytotaxa 572 (3): 243-258, DOI: 10.11646/phytotaxa.572.3.3, URL: http://dx.doi.org/10.11646/phytotaxa.572.3.3AbstractBased on critical observations on herbarium specimens (including type material), we demonstrate that Delphinium drepanocentrum (Ranunculaceae), an eastern Himalayan species distributed in Bhutan and China (southern Xizang), is most readily distinguishable from D. umbrosum, a species endemic to northwestern Yunnan, China, by an array of morphological characters, particularly by the indumentum on plant body. Our results support the treatment of D. drepanocentrum as an independent species. Moreover, some collections from Cona in southern Xizang previously cited as D. umbrosum var. drepanocentrum or misidentified as D. umbrosum subsp. drepanocentrum on the determination slips are determined not to belong to D. drepanocentrum, but represent a hitherto undescribed species. Furthermore, D. umbrosoides, described recently from Xizang, is determined to be conspecific with D. drepanocentrum and thus is synonymized herein. Finally, we pointed out that D. umbrosum var. hispidum is identical with D. omeiense, a species distributed in southwestern Sichuan and northeastern Yunnan, China.
DOI: 10.17909/gkv0-6x65
title: Far Ultraviolet M Dwarf Evolution Survey

description: A sample of M dwarf UV observations targeting intermediate rotators to fill in gaps in the understanding of UV activity evolution.
DOI: 10.15468/dl.vdx94d
title: Occurrence Download

description: A dataset containing 18555459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)",
 "Country is Portugal",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 18555459 records from 737 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068804-250525065834625/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.23514795.v3
title: <strong>Lifetime existence of a core of mutualistic symbionts and functionally uncoupled taxa in the gut of individuals from a Mediterranean cohort</strong>

description:  Sequences obtained from 16S rRNA gene, metagemics and metatranscriptomics. PICRUSt2 data obtained after predict metagenomic functions with the "stratified" and "per_sequence_contrib" parameters
DOI: 10.15468/dl.ehv8cs
title: Occurrence Download

description: A dataset containing 16179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ziziphus jujuba Mill."
 ]
}

 The dataset includes 16179 records from 355 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068811-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.