cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2marn6
title: Occurrence Download

description: A dataset containing 3683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eudyptes schlegeli Finsch, 1876",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 3683 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259451-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eym2tw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Appias albina (Boisduval, 1836)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211695-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j969gf
title: Occurrence Download

description: A dataset containing 2355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Candida albicans (C.P.Robin) Berkhout"
 ]
}

 The dataset includes 2355 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010152-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fh22cb
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glaucocharis vermeeri Bleszynski, 1965",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211705-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2gfdr2
title: CCDC 2277004: Experimental Crystal Structure Determination

description: Related Article: Qi Chen, Huan-Qing Li, Kai Yang, Wen-Jin Xu, Yu Zeng, Zhao-Yang Wang|2023|Asian J.Org.Chem|12|e202300418|doi:10.1002/ajoc.202300418
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gff1d
title: CCDC 2277013: Experimental Crystal Structure Determination

description: Related Article: Qi Chen, Huan-Qing Li, Kai Yang, Wen-Jin Xu, Yu Zeng, Zhao-Yang Wang|2023|Asian J.Org.Chem|12|e202300418|doi:10.1002/ajoc.202300418
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gk3x2
title: CCDC 2280574: Experimental Crystal Structure Determination

description: Related Article: Zi-Jian Jiang, Shan-Yuan Zhong, Yu-Hua Chen, Qing Liao, Mei-Jin Lin|2024|Dyes Pigm.|227|112158|doi:10.1016/j.dyepig.2024.112158
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gn1jq
title: CCDC 2283383: Experimental Crystal Structure Determination

description: Related Article: Nandini R, Thrilokraj R, Umesh A. Kshirsagar, Rajeev V. Hegde, Arnab Ghosh, Siddappa A. Patil, Jan Grzegorz Malecki, Ramesh B. Dateer|2024|New J.Chem.|48|1327|doi:10.1039/D3NJ03803C
description: Related Article: Nandini R, Thrilokraj R. Thrilokaraj, Umesh Kshirsagar, Rajeev V. Hegde, Arnab Ghosh, Siddappa Patil, Jan Małecki, Ramesh Dateer|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gs7j1
title: CCDC 2287413: Experimental Crystal Structure Determination

description: Related Article: Arindam Das, Sovan Dey, Ram Naresh Yadav, Prajna Dutta, Shubham Dhiman, Palash Jyoti Boruah, Koushik Sarkar, Abhishek Sahu, Anupam Jana, Amit Kumar Paul, Md. Firoj Hossain|2024|New J.Chem.|48|7566|doi:10.1039/D4NJ00796D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/8265570
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.15468/dl.bg4yud
title: Occurrence Download

description: A dataset containing 10938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iceland",
 "Geometry POLYGON((-20.65693 63.24451,-20.09888 63.24451,-20.09888 63.50009,-20.65693 63.50009,-20.65693 63.24451))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 10938 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286275-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2nmay
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Panax quinquefolius L."
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286278-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5ut62
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helictochloa armeniaca (Schischk.) Romero Zarco"
 ]
}

 The dataset includes 46 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239773-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhtva9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Udonomeiga vicinalis (South, 1901)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208631-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agcq74
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asarum leucosepalum Hatus. ex Yamahata",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207534-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mee9k5
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trisetopsis elongata (Hochst. ex A.Rich.) Röser & A.Wölk"
 ]
}

 The dataset includes 442 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239796-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzgh9m
title: Occurrence Download

description: A dataset containing 23415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1250.0",
 "Geometry POLYGON((-3.50825 40.04131,-5.43449 37.68476,-3.78343 33.6627,8.32439 35.4753,9.4251 32.50995,20.4322 28.48044,22.63362 32.04465,32.81519 27.99559,37.76839 30.63453,37.76839 33.6627,37.76839 38.11902,30.61377 38.11902,27.03647 42.92658,20.98256 42.52228,14.3783 47.19964,7.77403 46.82439,-3.50825 40.04131))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cetacea",
 "Year 1994-2022"
 ]
}

 The dataset includes 23415 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204442-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e9296
title: Occurrence Download

description: A dataset containing 1475377 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 1475377 records from 1602 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0253025-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6htxgc
title: Occurrence Download

description: A dataset containing 1499 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Entada gigas (L.) Fawc. & Rendle"
 ]
}

 The dataset includes 1499 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040538-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7chzu
title: Occurrence Download

description: A dataset containing 247021 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Phytolaccaceae)"
 ]
}

 The dataset includes 247021 records from 1650 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040599-240314170635999/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.24037345.v1
title: Additional file 2 of Anthropogenic activities mediate stratification and stability of microbial communities in freshwater sediments

description: Additional file 2: Table S12. Fermentation-related functional annotation of prokaryotic taxa based on FAPROTAX.
DOI: 10.6084/m9.figshare.26736174.v1
title: Additional file 1 of Secure attachment priming inhibits the generalization of conditioned fear

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.24038739
title: Additional file 1 of Development and validation of a nomogram based on common biochemical indicators for survival prediction of children with high-risk neuroblastoma: A valuable tool for resource-limited hospitals

description: Additional file 1: Supplementary file 1. Detailed information about clinical characteristics of the high-risk NB children in training set.
DOI: 10.6084/m9.figshare.24038739.v1
title: Additional file 1 of Development and validation of a nomogram based on common biochemical indicators for survival prediction of children with high-risk neuroblastoma: A valuable tool for resource-limited hospitals

description: Additional file 1: Supplementary file 1. Detailed information about clinical characteristics of the high-risk NB children in training set.
DOI: 10.6084/m9.figshare.24038742
title: Additional file 2 of Development and validation of a nomogram based on common biochemical indicators for survival prediction of children with high-risk neuroblastoma: A valuable tool for resource-limited hospitals

description: Additional file 2: Supplementary file 2. Detailed information about clinical characteristics of the high-risk NB children in validation set.
DOI: 10.6084/m9.figshare.24038742.v1
title: Additional file 2 of Development and validation of a nomogram based on common biochemical indicators for survival prediction of children with high-risk neuroblastoma: A valuable tool for resource-limited hospitals

description: Additional file 2: Supplementary file 2. Detailed information about clinical characteristics of the high-risk NB children in validation set.
DOI: 10.6084/m9.figshare.24038745
title: Additional file 3 of Development and validation of a nomogram based on common biochemical indicators for survival prediction of children with high-risk neuroblastoma: A valuable tool for resource-limited hospitals

description: Additional file 3: Supplementary file 3. Detailed information about the risk stratification of the high-risk NB children based on nomogram model in training set.
DOI: 10.6084/m9.figshare.24038745.v1
title: Additional file 3 of Development and validation of a nomogram based on common biochemical indicators for survival prediction of children with high-risk neuroblastoma: A valuable tool for resource-limited hospitals

description: Additional file 3: Supplementary file 3. Detailed information about the risk stratification of the high-risk NB children based on nomogram model in training set.
DOI: 10.6084/m9.figshare.24038748
title: Additional file 4 of Development and validation of a nomogram based on common biochemical indicators for survival prediction of children with high-risk neuroblastoma: A valuable tool for resource-limited hospitals

description: Additional file 4: Supplementary file 4. Detailed information about risk stratification of the high-risk NB children based on nomogram model in validation set.
DOI: 10.6084/m9.figshare.24038748.v1
title: Additional file 4 of Development and validation of a nomogram based on common biochemical indicators for survival prediction of children with high-risk neuroblastoma: A valuable tool for resource-limited hospitals

description: Additional file 4: Supplementary file 4. Detailed information about risk stratification of the high-risk NB children based on nomogram model in validation set.
DOI: 10.15468/dl.2xpfdz
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nassella trichotoma (Nees) Hack. & Arechav.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (Australia)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 265 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069786-240626123714530/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.24038653
title: Additional file 3 of Genome-wide identification and bioinformatics analysis of the WD40 transcription factor family and candidate gene screening for anthocyanin biosynthesis in Rhododendron simsii

description: Additional file 3: Table S1. The primer sequences used for qRT-PCR. Table S2. The basic information of WD40 genes identified in Rhododendron simsii. Table S3. Grouping of RsWD40 proteins based on domain compositions. Table S4. The WD40 genes in typical species.  Table S5. Gene duplications of WD40 genes in R.simsii with outlier Ka/Ks values. Table S6. The orthologous relationships of the WD40 genes among Rhododendron simsii and other four species (Arabidopsis thaliana, Oryza sativa, Vitis vinifera and Malus domestica). Table S7. The expression of the RsWD40 at the bud stage. The gene expression levels were calculated by using reads per kilobase per million (RPKM) measure. Table S8. The differentially expressed genes at the bud stage. Table S9. The expression of the RsWD40 at the full bloom stage. The gene expression levels were calculated by using reads per kilobase per million (FPKM) measure. Table S10. The differentially expressed genes at the full bloom stage. Table S11. Relative expression of candidate RsWD40 genes at the bud and full bloom stages, as determined by qRT-PCR. Table S12. The gene ontology (GO) analysis of candidate RsWD40 genes.
DOI: 10.6084/m9.figshare.24038653.v1
title: Additional file 3 of Genome-wide identification and bioinformatics analysis of the WD40 transcription factor family and candidate gene screening for anthocyanin biosynthesis in Rhododendron simsii

description: Additional file 3: Table S1. The primer sequences used for qRT-PCR. Table S2. The basic information of WD40 genes identified in Rhododendron simsii. Table S3. Grouping of RsWD40 proteins based on domain compositions. Table S4. The WD40 genes in typical species.  Table S5. Gene duplications of WD40 genes in R.simsii with outlier Ka/Ks values. Table S6. The orthologous relationships of the WD40 genes among Rhododendron simsii and other four species (Arabidopsis thaliana, Oryza sativa, Vitis vinifera and Malus domestica). Table S7. The expression of the RsWD40 at the bud stage. The gene expression levels were calculated by using reads per kilobase per million (RPKM) measure. Table S8. The differentially expressed genes at the bud stage. Table S9. The expression of the RsWD40 at the full bloom stage. The gene expression levels were calculated by using reads per kilobase per million (FPKM) measure. Table S10. The differentially expressed genes at the full bloom stage. Table S11. Relative expression of candidate RsWD40 genes at the bud and full bloom stages, as determined by qRT-PCR. Table S12. The gene ontology (GO) analysis of candidate RsWD40 genes.
DOI: 10.15468/dl.dbs7gs
title: Occurrence Download

description: A dataset containing 670 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Afzelia bipindensis Harms)"
 ]
}

 The dataset includes 670 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069787-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48677/05580426-80f6-4918-80d9-67ebc2922517
title: Verwaltungsgrenzen (VGD) BEV Stichtag 01.10.2017

description: Die Verwaltungsgrenzen Stichtag BEV beinhalten die Grenzen der Verwaltungseinheiten Österreichs im Schnittstellenschema des BEV.

Die Daten sind für folgende Grenzen vorhanden: 
1) Katastralgemeindegrenze 
2) Gemeindegrenze 
3) Bezirksgrenze 
4) Gerichtsbezirksgrenze 
5) Vermessungssprengelgrenze 
6) Finanzamtsbereichsgrenze
7) Bundesländergrenze 
8) Staatsgrenze

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.6084/m9.figshare.24038712
title: Additional file 1 of A gene mutation-based risk model for prognostic prediction in liver metastases

description: Additional file 1:  Fig. S1. The summary of patients included in the training (a), validation (b) and primary liver cancer (c) and transcriptomic (d) cohorts. Fig. S2. Assessment of the predictive performance of the gene mutation-based risk model. a. Receiver operating characteristic (ROC) curve of the training cohort. b. ROC curve of the validation cohort. c. Area under the ROC curve (AUC) for different cancer types in the training cohort. d. AUC for different cohorts in the validation cohort. Fig. S3. Assessment of the predictive accuracy of the gene mutation-based risk model. a. Calibration curve for assessing the predictive accuracy of the gene mutation-based risk model in the training cohort. The gray line represents ideal performance. The red line represents actual performance. b. Calibration curve for assessing the predictive accuracy of the gene mutation-based risk model in the validation cohort. The gray line represents ideal performance. The red line represents actual performance. c. Univariate and multivariate Cox regression analyses of gene mutation-based risk model in the training cohort. d. Univariate and multivariate Cox regression analyses of gene mutation-based risk model in the validation cohort. e. Comparison of C-indexes between the gene mutation-based risk model and 10 gene mutations included in the risk model in the training cohort. f. Comparison of C-indexes between the gene mutation-based risk model and 10 gene mutations included in the risk model in the validation cohort.
DOI: 10.6084/m9.figshare.24038712.v1
title: Additional file 1 of A gene mutation-based risk model for prognostic prediction in liver metastases

description: Additional file 1:  Fig. S1. The summary of patients included in the training (a), validation (b) and primary liver cancer (c) and transcriptomic (d) cohorts. Fig. S2. Assessment of the predictive performance of the gene mutation-based risk model. a. Receiver operating characteristic (ROC) curve of the training cohort. b. ROC curve of the validation cohort. c. Area under the ROC curve (AUC) for different cancer types in the training cohort. d. AUC for different cohorts in the validation cohort. Fig. S3. Assessment of the predictive accuracy of the gene mutation-based risk model. a. Calibration curve for assessing the predictive accuracy of the gene mutation-based risk model in the training cohort. The gray line represents ideal performance. The red line represents actual performance. b. Calibration curve for assessing the predictive accuracy of the gene mutation-based risk model in the validation cohort. The gray line represents ideal performance. The red line represents actual performance. c. Univariate and multivariate Cox regression analyses of gene mutation-based risk model in the training cohort. d. Univariate and multivariate Cox regression analyses of gene mutation-based risk model in the validation cohort. e. Comparison of C-indexes between the gene mutation-based risk model and 10 gene mutations included in the risk model in the training cohort. f. Comparison of C-indexes between the gene mutation-based risk model and 10 gene mutations included in the risk model in the validation cohort.