cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.596479
title: glottolog/glottolog: Glottolog database 5.2.1

description: Hammarström, Harald & Forkel, Robert & Haspelmath, Martin & Bank, Sebastian. 2025. Glottolog 5.2.1. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at https://glottolog.org)
DOI: 10.6084/m9.figshare.29291288
title: Supplementary Material for: Causal Relationship Between Inflammatory Proteins and Alzheimer's Disease: A Two-sample Bidirectional Mendelian Randomization Study

description: Background Studies on Alzheimer's disease(AD) indicate inflammation doesn't just follow but drives neurodegeneration. Protein aggregation in neurodegeneration can trigger neuroinflammation, worsening protein aggregation and neurodegeneration. The aim is to use bidirectional Mendelian Randomization(MR) approach to find the causal link between specific inflammatory proteins and AD, creating new hypotheses for studying AD's pathological mechanisms. 
Method Independent genetic variants for 91 inflammatory proteins (14,824 individuals) and AD (111,326 clinically diagnosed/'proxy' AD patients and 677,663 controls) were selected as instrumental variables(IVs) from published Genome-wide association studies(GWASs) among individuals of predominantly European ancestry. MR analyses included the IVW method, weighted median estimator, MR-Egger regression, sample mode, weighted mode, and sensitivity analyses of Cochran's Q test, MR-PRESSO, leave-one-out analysis, FDR correction and MR-Egger intercept test. We employed a bidirectional two-sample MR approach to explore the causal relationship between inflammatory proteins and AD.
Results Our findings are mainly based on the IVW approach. Our results indicate that elevated levels of TNF-β(OR=0.917, 95%CI=0.862-0.975, P=0.006) and IL-6(OR=0.941, 95%CI=0.899-0.985, P=0.009) are significantly associated with a reduced AD risk, while AD has no impact on the levels of the 91 inflammatory proteins selected in this paper. The results of the sensitivity analyses were robust.
Conclusion Elevated levels of TNF-β and IL-6 exert a protective effect against the occurrence of AD.
DOI: 10.6084/m9.figshare.29291288.v1
title: Supplementary Material for: Causal Relationship Between Inflammatory Proteins and Alzheimer's Disease: A Two-sample Bidirectional Mendelian Randomization Study

description: Background Studies on Alzheimer's disease(AD) indicate inflammation doesn't just follow but drives neurodegeneration. Protein aggregation in neurodegeneration can trigger neuroinflammation, worsening protein aggregation and neurodegeneration. The aim is to use bidirectional Mendelian Randomization(MR) approach to find the causal link between specific inflammatory proteins and AD, creating new hypotheses for studying AD's pathological mechanisms. 
Method Independent genetic variants for 91 inflammatory proteins (14,824 individuals) and AD (111,326 clinically diagnosed/'proxy' AD patients and 677,663 controls) were selected as instrumental variables(IVs) from published Genome-wide association studies(GWASs) among individuals of predominantly European ancestry. MR analyses included the IVW method, weighted median estimator, MR-Egger regression, sample mode, weighted mode, and sensitivity analyses of Cochran's Q test, MR-PRESSO, leave-one-out analysis, FDR correction and MR-Egger intercept test. We employed a bidirectional two-sample MR approach to explore the causal relationship between inflammatory proteins and AD.
Results Our findings are mainly based on the IVW approach. Our results indicate that elevated levels of TNF-β(OR=0.917, 95%CI=0.862-0.975, P=0.006) and IL-6(OR=0.941, 95%CI=0.899-0.985, P=0.009) are significantly associated with a reduced AD risk, while AD has no impact on the levels of the 91 inflammatory proteins selected in this paper. The results of the sensitivity analyses were robust.
Conclusion Elevated levels of TNF-β and IL-6 exert a protective effect against the occurrence of AD.
DOI: 10.15468/dl.r7gyeh
title: Occurrence Download

description: A dataset containing 9499 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 = 'MU'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 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.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 9499 records were derived from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035988-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14466/cefasdatahub.81
title: Fladen experimental fishing impact recovery data - 4m Beam Trawl

description: Total count and biomass in grams of taxa identified from 4m beam trawl samples of the seabed, with associated station information. Samples were collected from three experimental treatment boxes only using two 4m beam trawls in parallel to simulate commercial beam trawling operations during the first of two research surveys on the RV Cefas Endeavour in April 2015. The sampling gear consisted of a commercially rigged (1989 style) 4m beam trawl (measured between inside edges of shoes) fitted with a chain mat, flip-up ropes, and a 40mm cod-end liner. One hundred percent of all three Treatment boxes was trawled in North South tow lines, against the tide between Time 0 and Time 1 only. Tow distance was measured from the time that the beam trawl had settled on the seabed to the time that hauling of the trawl began. The amount of wire paid out was three times the water depth. Tow speed was maintained at 4 knots (speed over ground). A GIS navigation system was used throughout fishing operations to log the position of the tow every 5 seconds. On surfacing, the net was cleaned by being gently towed behind the vessel prior to landing the catch on-board. The total catch was sorted into taxon/species using up to date literature and the individual weight of all taxa were recorded for all specimens.
DOI: 10.15468/dl.vrpnyf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerophrys pardalis (Hewitt, 1935)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036001-250525065834625/datasets/export for details.
DOI: 10.15468/dl.9nj949
title: Occurrence Download

description: A dataset containing 1078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tuta absoluta (Meyrick, 1917)"
 ]
}

 The dataset includes 1078 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036002-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyt4d4
title: Occurrence Download

description: A dataset containing 5286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((12.95475 52.15935,13.67631 52.15935,13.67631 53.00986,12.95475 53.00986,12.95475 52.15935))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Sus scrofa Linnaeus, 1758, Vulpes vulpes (Linnaeus, 1758), Hippolais icterina (Vieillot, 1817))"
 ]
}

 The dataset includes 5286 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036004-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15640174
title: glottolog/glottolog: Glottolog database 5.2.1 as CLDF

description: Cite the source of the dataset as:




Hammarström, Harald & Forkel, Robert & Haspelmath, Martin & Bank, Sebastian. 2025. Glottolog 5.2.1. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at https://glottolog.org)
DOI: 10.5281/zenodo.3260727
title: glottolog/glottolog: Glottolog database 5.2.1 as CLDF

description: Cite the source of the dataset as:




Hammarström, Harald & Forkel, Robert & Haspelmath, Martin & Bank, Sebastian. 2025. Glottolog 5.2.1. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at https://glottolog.org)
DOI: 10.15468/dl.2zwdrd
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerophrys pardalis (Hewitt, 1935)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 72 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036003-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15432564
title: Data and code for "Phase evolution of strong-field ionization"

description: Data and code for "Phase evolution of strong-field ionization"
DOI: 10.5281/zenodo.15432565
title: Data and code for "Phase evolution of strong-field ionization"

description: Data and code for "Phase evolution of strong-field ionization"
DOI: 10.4121/216555e8-5f8b-48a0-b92d-9c08505ceacd
title: Data underlying the publication: Unveiling the Impact of Ligand Configurations and Structural Fluxionality on Virtual Screening of Transition-Metal Complexes

description: We evaluated the influence of ligand configurations on the stability and physical-chemical properties of transition metal complexes in the context of computational high-throughput screening of homogeneous catalysts. We employed an automated workflow for the generation of complexes, sorting based on bite angles of ligands, DFT optimization and descriptor extraction. The descriptors were analyzed using ML techniques. The version of our workflow, Open Bidentate Ligand eXplorer (OBeLiX), that was used for this study is contained in this dataset. Additionally, all DFT data, data analysis and calculated descriptors are present.
DOI: 10.4121/216555e8-5f8b-48a0-b92d-9c08505ceacd.v1
title: Data underlying the publication: Unveiling the Impact of Ligand Configurations and Structural Fluxionality on Virtual Screening of Transition-Metal Complexes

description: We evaluated the influence of ligand configurations on the stability and physical-chemical properties of transition metal complexes in the context of computational high-throughput screening of homogeneous catalysts. We employed an automated workflow for the generation of complexes, sorting based on bite angles of ligands, DFT optimization and descriptor extraction. The descriptors were analyzed using ML techniques. The version of our workflow, Open Bidentate Ligand eXplorer (OBeLiX), that was used for this study is contained in this dataset. Additionally, all DFT data, data analysis and calculated descriptors are present.
DOI: 10.6084/m9.figshare.27888159
title: <b>Global pattern and drivers of disease heterogeneity in aging populations</b>

description: The unprecedented demographic shifts toward an aging population pose significant challenges to global healthcare systems. Understanding the heterogeneity in disease prevalence among the elderly is crucial for effective public health strategies. Using prevalence data of 85 types of age-related diseases, we calculated the global heterogeneity of disease distribution by the Shannon Diversity Index (SHDI). We observed significant geographic variations in disease heterogeneity, with higher SHDI values in high-income Western countries such as the United States of America and Sweden and lower in South Asia and Oceania (p &lt; 0.05). In 2021, SHDI values in elderly populations (age ≥ 60 years) for Europe and North America countries were an average of 1.12 times higher than in Oceania. While SHDI increases toward higher ages (for instance, in 2021, SHDI for adults above 95 years is 1.06 times higher than for ages between 60 and 64 years), the global SHDI tends to decrease nonlinearly over time. From 1990 to 2021, global age-standardized SHDI (age ≥ 60 years) averagely decreased by 1.2% for both men and women. Our analysis further revealed that socio-economic factors (e.g., socio-demographic indices, governance) strongly impacted global SHDI changes, while climatic and environmental factors (e.g., extreme climate and air pollution) showed significant differences across genders. Our study highlights the need for implementing comprehensive healthcare strategies, focusing on reducing health disparities and addressing environmental and socio-economic determinants to address inequalities in age-related diseases effectively.
DOI: 10.6084/m9.figshare.27888159.v1
title: <b>Global pattern and drivers of disease heterogeneity in aging populations</b>

description: The unprecedented demographic shifts toward an aging population pose significant challenges to global healthcare systems. Understanding the heterogeneity in disease prevalence among the elderly is crucial for effective public health strategies. Using prevalence data of 85 types of age-related diseases, we calculated the global heterogeneity of disease distribution by the Shannon Diversity Index (SHDI). We observed significant geographic variations in disease heterogeneity, with higher SHDI values in high-income Western countries such as the United States of America and Sweden and lower in South Asia and Oceania (p &lt; 0.05). In 2021, SHDI values in elderly populations (age ≥ 60 years) for Europe and North America countries were an average of 1.12 times higher than in Oceania. While SHDI increases toward higher ages (for instance, in 2021, SHDI for adults above 95 years is 1.06 times higher than for ages between 60 and 64 years), the global SHDI tends to decrease nonlinearly over time. From 1990 to 2021, global age-standardized SHDI (age ≥ 60 years) averagely decreased by 1.2% for both men and women. Our analysis further revealed that socio-economic factors (e.g., socio-demographic indices, governance) strongly impacted global SHDI changes, while climatic and environmental factors (e.g., extreme climate and air pollution) showed significant differences across genders. Our study highlights the need for implementing comprehensive healthcare strategies, focusing on reducing health disparities and addressing environmental and socio-economic determinants to address inequalities in age-related diseases effectively.
DOI: 10.15468/dl.766y6u
title: Occurrence Download

description: A dataset containing 3354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dialytrichia (Schimp.) Limpr."
 ]
}

 The dataset includes 3354 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036006-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9crak
title: Occurrence Download

description: A dataset containing 1198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carpodacus rubicilloides Przewalski, 1876"
 ]
}

 The dataset includes 1198 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0406176-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9uaa6p
title: Occurrence Download

description: A dataset listing the 97 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is COL.23_2",
 "Locality is CUCUTA"
 ]
}

 The dataset's 97 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002772-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzexpc
title: Occurrence Download

description: A dataset containing 17975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agaricus sylvaticus Schaeff., Agaricus sylvicola (Vittad.) Peck, Agrocybe praecox (Pers.) Fayod)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 17975 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164614-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.445qxh
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudomugil gertrudae Weber, 1911"
 ]
}

 The dataset includes 251 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324282-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub8wfg
title: Occurrence Download

description: A dataset containing 1269 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aegilops longissima Schweinf. & Muschl."
 ]
}

 The dataset includes 1269 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011133-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2gdsn
title: Occurrence Download

description: A dataset containing 3080 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Barisia imbricata (Wiegmann, 1828)"
 ]
}

 The dataset includes 3080 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200428-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3eahae
title: Occurrence Download

description: A dataset containing 943375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 {
 "or" : [
 "DatasetKey is Instituto de Botánica Darwinion",
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is Programa de Observadores a Bordo (POBCh) de la Secretaria de Pesca de la Provincia del Chubut, Argentina . Observer On board Program -Fisheries Secretariat of the Province of Chubut-Argentina (OOBPPCh)",
 "DatasetKey is Pl@ntNet automatically identified occurrences",
 "DatasetKey is Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Herpetology National Collection (MACNHe)",
 "DatasetKey is Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Arachnology National Collection (MACNAr)",
 "DatasetKey is International Barcode of Life project (iBOL)"
 ]
 },
 "Geometry POLYGON((-121.27801 -71.69848,27.27801 -71.69848,27.27801 -12.30152,-121.27801 -12.30152,-121.27801 -71.69848))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 943375 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0363545-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zesej
title: Occurrence Download

description: A dataset containing 8844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is one of (Mexico, United States of America, Canada)",
 "OccurrenceStatus is Present",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)"
 ]
}

 The dataset includes 8844 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014665-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.