cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9bdxjb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.69762 -36.598072, 144.69762 -36.600318, 144.695375 -36.600318, 144.695375 -36.602564, 144.699866 -36.602564, 144.699866 -36.607056, 144.69762 -36.607056, 144.69762 -36.609301, 144.702112 -36.609301, 144.702112 -36.613793, 144.704358 -36.613793, 144.704358 -36.616039, 144.708849 -36.616039, 144.708849 -36.611547, 144.704358 -36.611547, 144.704358 -36.607056, 144.702112 -36.607056, 144.702112 -36.602564, 144.704358 -36.602564, 144.704358 -36.600318, 144.699866 -36.600318, 144.699866 -36.598072, 144.69762 -36.598072))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065744-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.8063360
title: Data for paper "Magnetohydrodynamic Equilibrium Reconstruction with Consistent Uncertainties"

description: Data and scripts for the conference paper "Magnetohydrodynamic Equilibrium Reconstruction with Consistent Uncertainties" for the 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering.


Abstract: We report on progress towards a probabilistic framework for consistent uncertainty quantification and propagation in analysis and numerical modeling of physics in magnetically confined plasmas in the stellarator configuration. A frequent starting point in this process is the calculation of a magnetohydrodynamic equilibrium from plasma profiles. Profiles and therefore the equilibrium are typically reconstructed from experimental data. What sets equilibrium reconstruction apart from usual inverse problems is that profiles are given as functions over a magnetic flux derived from the magnetic field, rather than spatial coordinates. This makes it a fixed-point problem that is traditionally left inconsistent or solved iteratively in a least-squares sense[1–3]. The aim here is towards a straightforward and transparent process to quantify and propagate uncertainties and their correlations for function-valued fields and profiles in this setting. We propose a framework that utilizes a low dimensional prior distribution of equilibria, constructed with principal component analysis. A surrogate of the forward model[4] is trained to enable faster sampling.


Funding:  The present contribution is supported by the Helmholtz Association of German Research Centers under the joint research school HIDSS-0006 'Munich School for Data Science - MUDS'. This work has been carried out within the framework of the EUROfusion Consortium, funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200 - EUROfusion). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.
DOI: 10.5281/zenodo.8095035
title: Data for paper "Magnetohydrodynamic Equilibrium Reconstruction with Consistent Uncertainties"

description: Data and scripts for the conference paper "Magnetohydrodynamic Equilibrium Reconstruction with Consistent Uncertainties" for the 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering.


Abstract: We report on progress towards a probabilistic framework for consistent uncertainty quantification and propagation in analysis and numerical modeling of physics in magnetically confined plasmas in the stellarator configuration. A frequent starting point in this process is the calculation of a magnetohydrodynamic equilibrium from plasma profiles. Profiles and therefore the equilibrium are typically reconstructed from experimental data. What sets equilibrium reconstruction apart from usual inverse problems is that profiles are given as functions over a magnetic flux derived from the magnetic field, rather than spatial coordinates. This makes it a fixed-point problem that is traditionally left inconsistent or solved iteratively in a least-squares sense[1–3]. The aim here is towards a straightforward and transparent process to quantify and propagate uncertainties and their correlations for function-valued fields and profiles in this setting. We propose a framework that utilizes a low dimensional prior distribution of equilibria, constructed with principal component analysis. A surrogate of the forward model[4] is trained to enable faster sampling.


Funding:  The present contribution is supported by the Helmholtz Association of German Research Centers under the joint research school HIDSS-0006 'Munich School for Data Science - MUDS'. This work has been carried out within the framework of the EUROfusion Consortium, funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200 - EUROfusion). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.
DOI: 10.6084/m9.figshare.26644864
title: Additional file 2 of A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19

description: Additional file 2. R-Markdown file containing code to set-up, run both and save the main model using parallelisation.
DOI: 10.6084/m9.figshare.26588481
title: Additional file 27 of The eQTL colocalization and transcriptome-wide association study identify potentially causal genes responsible for economic traits in Simmental beef cattle

description: Additional file 27: Table S7. The results of GWAS-eQTL colocalization by Coloc or SMR in three tissues.
DOI: 10.6084/m9.figshare.26588475.v1
title: Additional file 25 of The eQTL colocalization and transcriptome-wide association study identify potentially causal genes responsible for economic traits in Simmental beef cattle

description: Additional file 25: Table S5. Overview of fine-mapping results in three tissues.
DOI: 10.6084/m9.figshare.26644861
title: Additional file 1 of A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19

description: Additional file 1. Contains daily case counts for each LAD along with the LAD population from the ONS estimates. LADs are identified by LAD code and name.
DOI: 10.6084/m9.figshare.26588463
title: Additional file 21 of The eQTL colocalization and transcriptome-wide association study identify potentially causal genes responsible for economic traits in Simmental beef cattle

description: Additional file 21: Table S1. The information of GWAS results for 21 agronomic traits.
DOI: 10.6084/m9.figshare.26588478.v1
title: Additional file 26 of The eQTL colocalization and transcriptome-wide association study identify potentially causal genes responsible for economic traits in Simmental beef cattle

description: Additional file 26: Table S6. TWAS results for 11 agronomic traits in three tissues.
DOI: 10.6084/m9.figshare.26644864.v1
title: Additional file 2 of A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19

description: Additional file 2. R-Markdown file containing code to set-up, run both and save the main model using parallelisation.
DOI: 10.6084/m9.figshare.26644867
title: Additional file 3 of A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19

description: Additional file 3. R-Markdown file containing code to carry out an exploratory analysis of the prepared data.
DOI: 10.6084/m9.figshare.26644867.v1
title: Additional file 3 of A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19

description: Additional file 3. R-Markdown file containing code to carry out an exploratory analysis of the prepared data.
DOI: 10.6084/m9.figshare.26644870
title: Additional file 4 of A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19

description: Additional file 4. R-Markdown file containing code to load the cleaned data sources, prepare the data for analysis and load required libraries.
DOI: 10.6084/m9.figshare.26588469.v1
title: Additional file 23 of The eQTL colocalization and transcriptome-wide association study identify potentially causal genes responsible for economic traits in Simmental beef cattle

description: Additional file 23: Table S3. The significant modules-trait pairs in three tissues, and KEEG annotation of significant module genes.
DOI: 10.6084/m9.figshare.26644876
title: Additional file 5 of A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19

description: Additional file 5. R-Markdown file containing code to analyse both models. Includes model diagnostics, analysis of reisduals and investigations into both model parameters and hyperparameters.
DOI: 10.6084/m9.figshare.26644876.v1
title: Additional file 5 of A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19

description: Additional file 5. R-Markdown file containing code to analyse both models. Includes model diagnostics, analysis of reisduals and investigations into both model parameters and hyperparameters.
DOI: 10.6084/m9.figshare.26588472
title: Additional file 24 of The eQTL colocalization and transcriptome-wide association study identify potentially causal genes responsible for economic traits in Simmental beef cattle

description: Additional file 24: Table S4. Overview of cis-eQTL clusters and posterior probability for colocalization of genetic signals underlying eGenes of the same cluster in three tissues.
DOI: 10.6084/m9.figshare.26644879.v1
title: Additional file 6 of A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19

description: Additional file 6. An R object that can be loaded using the readRDS command. Contains daily measurements of for each LAD. LADs are identified by name and LAD code.
DOI: 10.6084/m9.figshare.26588469
title: Additional file 23 of The eQTL colocalization and transcriptome-wide association study identify potentially causal genes responsible for economic traits in Simmental beef cattle

description: Additional file 23: Table S3. The significant modules-trait pairs in three tissues, and KEEG annotation of significant module genes.
DOI: 10.25582/data.2024-04.3085984/2552688
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3085985/2552689
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3085986/2552690
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3085987/2552691
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3085988/2552692
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3085989/2552693
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3085990/2552694
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.bvrk9r
title: Occurrence Download

description: A dataset containing 1938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anredera cordifolia",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1938 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022684-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13187067
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.15468/dl.nfvufg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boerhavia coccinea",
 "Country is Gambia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022686-250920141307145/datasets/export for details.
DOI: 10.15468/dl.tdxvjx
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boerhavia coccinea",
 "Country is El Salvador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022685-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nnyre
title: Occurrence Download

description: A dataset containing 586548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Geometry POLYGON((13.11134 -10.25241,15.11564 -10.25241,15.11564 87.80443,13.11134 87.80443,13.11134 -10.25241))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyanistes caeruleus"
 ]
}

 The dataset includes 586548 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022647-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ecs4kb
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boerhavia coccinea",
 "Country is Guatemala",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022687-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17213117
title: Faktor-Faktor Yang Mempengaruhi Continuance Usage  Pelanggan Pada Layanan Digital Streaming Vidio
DOI: 10.5281/zenodo.17213116
title: Faktor-Faktor Yang Mempengaruhi Continuance Usage  Pelanggan Pada Layanan Digital Streaming Vidio
DOI: 10.15468/dl.wkth8h
title: Occurrence Download

description: A dataset containing 2432 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caulerpa taxifolia"
 ]
}

 The dataset includes 2432 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022679-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn946z
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Basella alba",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 992 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022688-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66aujt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boerhavia coccinea",
 "Country is Liberia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022691-250920141307145/datasets/export for details.
DOI: 10.15468/dl.v9gcr7
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boerhavia coccinea",
 "Country is Honduras",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022690-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjqamy
title: Occurrence Download

description: A dataset containing 6638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((110 15,134 15,134 35,110 35,110 15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Serranidae"
 ]
}

 The dataset includes 6638 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022689-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8ntzt
title: Occurrence Download

description: A dataset containing 649519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Phyllanthaceae)"
 ]
}

 The dataset includes 649519 records from 1744 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019166-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fvn59
title: Occurrence Download

description: A dataset containing 525406 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is KUBI Invertebrate Paleontology Collection"
 ]
}

 The dataset includes 525406 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019221-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f66ym9
title: Occurrence Download

description: A dataset containing 66357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dracaena nilotica (Baker) Byng & Christenh., Agrostis ×sanionis Asch. & Graebn., Elymus repens subsp. repens, Patis obtusa (Stapf ex Oliv.) Romasch., P.M.Peterson & Soreng, Mnesithea laevis var. cochinchinensis (Lour.) de Koning & Sosef, Carex argyi H.Lév. & Vaniot, Cyperus alternifolius subsp. textilis (Thunb.) Verloove, Glycine tabacina (Labill.) Benth., Lepidium bidentatum Montin, Rhynchospora corymbosa (L.) Britton, Scleria polycarpa Boeckeler, Thelypteris madagascariensis (Fée) Schelpe, Bidens campylotheca Sch.Bip., Chamaecereus silvestrii (Speg.) Britton & Rose, Oldenlandia capensis var. capensis, Dichrostachys cinerea subsp. africana Brenan & Brummitt, Cyperus tenuispica Steud., Pappophorum pappiferum (Lam.) Kuntze, Ocellochloa stolonifera (Poir.) Zuloaga & Morrone, Typhonium blumei Nicolson & Sivad., Aeonium ×chamorgense O.Arango, Clematis napaulensis DC., Nicotiana ×sanderi Mast., Dichelachne rara (R.Br.) Vickery, Philadelphus ×cymosus Rehder, Triticum aestivum subsp. compactum (Host) H.Messik., Cynoglottis barrelieri subsp. barrelieri, Medicago sativa subsp. glomerata (Balb.) Rouy, Macrotyloma geocarpum var. geocarpum, Vigna radiata var. setulosa (Dalzell) Ohwi & H.Ohashi, Chrysobalanus icaco subsp. atacorensis (A.Chev.) F.White, Chrysobalanus icaco subsp. icaco, Terminalia neotaliala Capuron, Commiphora kerstingii Engl., Malachra radiata (L.) L., Capparis spinosa var. herbacea (Willd.) Fici, Exacum quinquenervium Griseb., Coleus engleri (Briq.) A.J.Paton, Coleus esculentus (N.E.Br.) G.Taylor, Galgera decurrens (Vahl) Anderb. & Bengtson, Clausena anisata (Willd.) Hook.fil., Borago pygmaea (DC.) Chater & Greuter, Calystegia sepium subsp. roseata Brummitt, Campanula fragilis Cirillo, Leptinella dioica subsp. dioica, Dianthus hyssopifolius subsp. gallicus (Pers.) M.Laínz & Muñoz Garm., Hypericum hircinum subsp. majus (Aiton) N.Robson, Iris ×hollandica H.R.Wehrh., Lycium chinense var. chinense, Nymphaea alba subsp. alba)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 66357 records from 768 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019217-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fa4oxx
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Urania fulgens Walker, 1854"
 ]
}

 The dataset includes 169 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007719-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsgttt
title: Occurrence Download

description: A dataset containing 10391 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Terrapene carolina carolina"
 ]
}

 The dataset includes 10391 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051400-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ruh1mc
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bursera esparzae Rzed., Calderón & Medina"
 ]
}

 The dataset includes 36 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007719-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tt96zv
title: Occurrence Download

description: A dataset containing 1007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-114.01611 32.87109,-115.33447 31.9043,-104.7876 14.23828,-95.77881 17.18262,-101.35986 23.9502,-106.1499 31.11328,-114.01611 32.87109))",
 "OccurrenceStatus is Present",
 "TaxonKey is Smilisca fodiens (Boulenger, 1882)"
 ]
}

 The dataset includes 1007 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060596-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afzf26
title: Occurrence Download

description: A dataset containing 6982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Africa",
 "Geometry POLYGON((6.61331 0.40036,6.52267 0.33444,6.4595 0.27127,6.47324 0.15591,6.50894 0.01309,6.65245 0.1068,6.74812 0.25008,6.74629 0.32011,6.67213 0.40937,6.61331 0.40036))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6982 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006436-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rt94bk
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Acacia saligna (Labill.) H.L.Wendl."
 ]
}

 The dataset includes 40 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066481-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.