cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17876/plate/dr.3/plates/203_36103
title: Digital object identifier (DOI) for the plate 36103 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36104
title: Digital object identifier (DOI) for the plate 36104 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36105
title: Digital object identifier (DOI) for the plate 36105 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36106
title: Digital object identifier (DOI) for the plate 36106 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36107
title: Digital object identifier (DOI) for the plate 36107 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36108
title: Digital object identifier (DOI) for the plate 36108 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36109
title: Digital object identifier (DOI) for the plate 36109 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36110
title: Digital object identifier (DOI) for the plate 36110 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36111
title: Digital object identifier (DOI) for the plate 36111 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36112
title: Digital object identifier (DOI) for the plate 36112 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36113
title: Digital object identifier (DOI) for the plate 36113 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36114
title: Digital object identifier (DOI) for the plate 36114 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36115
title: Digital object identifier (DOI) for the plate 36115 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36116
title: Digital object identifier (DOI) for the plate 36116 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36117
title: Digital object identifier (DOI) for the plate 36117 in archive 203 from the APPLAUSE DR3
DOI: 10.6084/m9.figshare.23978520
title: Supplementary Material for: AKAP12 and IGFBP4 are prognostic factors for chronic lymphocytic leukemia

description: Introduction: To develop a prognostic model for chronic lymphocytic leukemia (CLL). Methods: GEO2R was used to retrieve the gene expression data of CLL and normal B cells from the Gene Expression Omnibus (GEO, GSE22529 and GSE50006 datasets) database. Perl (Practical Extraction and Report Language) was used to extract the gene expression and overall survival (OS) data of CLL patients from the CLLE-ES project in the ICGC (International Cancer Genome Consortium) database. Cox regression with Lasso was used to create and validate a prognostic model for CLL. Results: A total of 267 genes exhibited differential expression between CLL and normal B cells. Uni-Cox analysis identified 14 DEGs that correlated with overall survival (OS). Lasso multivariate evaluation demonstrated that AKAP12 and IGFBP4 are independent prognostic factors for CLL. Kaplan-Meier survival analysis revealed a significant association between the estimated risk score and survival. The area under the receiver operating characteristics (ROC) curve (AUC) was calculated to be 0.97, indicating high predictive accuracy. In addition, high AKAP12 and IGFBP4 risk score was associated with the high incidence of trisomy 12q. Conclusion: Taken together, AKAP12 and IGFBP4 are independent prognostic factors for CLL.
DOI: 10.6084/m9.figshare.23978520.v1
title: Supplementary Material for: AKAP12 and IGFBP4 are prognostic factors for chronic lymphocytic leukemia

description: Introduction: To develop a prognostic model for chronic lymphocytic leukemia (CLL). Methods: GEO2R was used to retrieve the gene expression data of CLL and normal B cells from the Gene Expression Omnibus (GEO, GSE22529 and GSE50006 datasets) database. Perl (Practical Extraction and Report Language) was used to extract the gene expression and overall survival (OS) data of CLL patients from the CLLE-ES project in the ICGC (International Cancer Genome Consortium) database. Cox regression with Lasso was used to create and validate a prognostic model for CLL. Results: A total of 267 genes exhibited differential expression between CLL and normal B cells. Uni-Cox analysis identified 14 DEGs that correlated with overall survival (OS). Lasso multivariate evaluation demonstrated that AKAP12 and IGFBP4 are independent prognostic factors for CLL. Kaplan-Meier survival analysis revealed a significant association between the estimated risk score and survival. The area under the receiver operating characteristics (ROC) curve (AUC) was calculated to be 0.97, indicating high predictive accuracy. In addition, high AKAP12 and IGFBP4 risk score was associated with the high incidence of trisomy 12q. Conclusion: Taken together, AKAP12 and IGFBP4 are independent prognostic factors for CLL.
DOI: 10.17876/plate/dr.3/plates/203_36118
title: Digital object identifier (DOI) for the plate 36118 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36119
title: Digital object identifier (DOI) for the plate 36119 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36120
title: Digital object identifier (DOI) for the plate 36120 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36121
title: Digital object identifier (DOI) for the plate 36121 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36122
title: Digital object identifier (DOI) for the plate 36122 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36123
title: Digital object identifier (DOI) for the plate 36123 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36124
title: Digital object identifier (DOI) for the plate 36124 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36125
title: Digital object identifier (DOI) for the plate 36125 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36126
title: Digital object identifier (DOI) for the plate 36126 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36127
title: Digital object identifier (DOI) for the plate 36127 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36128
title: Digital object identifier (DOI) for the plate 36128 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36129
title: Digital object identifier (DOI) for the plate 36129 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36130
title: Digital object identifier (DOI) for the plate 36130 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36131
title: Digital object identifier (DOI) for the plate 36131 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_36132
title: Digital object identifier (DOI) for the plate 36132 in archive 203 from the APPLAUSE DR3
DOI: 10.18712/nsd-nsd1407-v2
title: Foreign Adopted Children in Norway. Adaptability at the Age of 12, 1987

description: The survey's purpose was to investigate how children from the third world, who have been adopted to Norway, adapt to their new family and school. The starting point was that adopted children are a group that has experienced dramatic changes in their childhood circumstances, and their adaption will illuminate potentials for improvement. 151 adopted children born in 1975/1976 and their families were interviewed. Also, the child's teacher answered a questionnaire. A control group of children in the same age were also interviewed. Adaption was measured by applying Rutter's scale. The variables are concerned with the child's behavior at school and home, the child's development, special problems, school situation, language, intelligence, well-being and social skills.
DOI: 10.2908/sdg_12_50
title: Generation of waste excluding major mineral wastes by hazardousness
title: Déchets générés excepté les déchets minéraux principaux par dangerosité
title: Abfallaufkommen ohne dominante mineralische Abfälle nach Gefährlichkeit

description: Der Indikator misst alle Abfälle, die in einem Land anfallen. Aufgrund der starken Schwankungen des Abfallaufkommens im Bergbau und im Bausektor und der begrenzten Datenqualität und Vergleichbarkeit der Daten sind wichtige mineralische Abfälle, Baggergut und Böden ausgeschlossen. Dieser Ausschluss erhöht die länderübergreifende Vergleichbarkeit als mineralische Abfälle, da in einigen Ländern hohe Mengen an mineralischen Abfällen und in einigen Ländern wirtschaftliche Tätigkeiten wie Bergbau und Baugewerbe anfallen.
description: The indicator measures all waste generated in a country. Due to the strong fluctuations in waste generation in the mining and construction sectors and their limited data quality and comparability, major mineral wastes, dredging spoils and soils are excluded. This exclusion enhances comparability across countries as mineral waste accounts for high quantities in some countries with important economic activities such as mining and construction.
description: Cet indicateur mesure l’ensemble des déchets générés dans un pays. En raison des fortes fluctuations dans la production de déchets dans l’exploitation minière et la construction et de la qualité et de la comparabilité des données limitées dans ces secteurs, les principaux déchets minéraux, boues de dragage et les sols en sont exclus. Cette exclusion améliore la comparabilité entre les pays, parce que certains pays, avec une grande activité économique dans l’exploitation minière et la construction, produisent de grandes quantités de déchets minéraux.
DOI: 10.15468/dl.scss2c
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cyrtocarpa caatingae J.D.Mitch. & Daly)"
 ]
}

 The dataset includes 223 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078006-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buah7c
title: Occurrence Download

description: A dataset containing 39281685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.86128 -35.49827,34.12948 -35.49827,34.12948 -21.54926,13.86128 -21.54926,13.86128 -35.49827))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 39281685 records from 1415 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077998-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qw2vq
title: Occurrence Download

description: A dataset containing 2499001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.46299 46.74278,59.4901 46.74278,59.4901 73.83398,1.46299 73.83398,1.46299 46.74278))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hemiptera",
 "Year 2000-2024"
 ]
}

 The dataset includes 2499001 records from 1662 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077999-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gcq4e
title: Occurrence Download

description: A dataset containing 62 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Cyprideis torosa (Jones, 1850)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 62 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078008-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.25507225
title: Ground-truthing of remotely sensed normalized difference vegetation index (NDVI) for improved resource use efficiency in irrigated potato

description: Crop growth monitoring is important for improved management of farming activities, early detection of crop stress and yield forecasting during the season. Remotely sensed spectral vegetation indices (VIs) allow real-time assessment of crop vegetation status over relatively large area, which is critical for development of management information for potato (<i>Solanum tuberosum</i> L.). However, the nature of the relationship between VIs and ground measured data is not known. Therefore, this study was carried out to validate remote sensing derived growth indices with ground measured potato canopy state variables.<b> </b>Detailed measurements were conducted in 30 commercial irrigated potato fields located in three production regions of South Africa from 2016 to 2022. Information including water and nutrient inputs, drainage, nutrient leaching, crop growth variables, soil water dynamics, and satellite-based normalized difference vegetation index (NDVI) was obtained during the various cropping seasons over the years. The indices were then correlated with ground measured growth parameters using regression analysis. Irrigation management guidelines were developed using the results obtained.
DOI: 10.25403/upresearchdata.25507225.v1
title: Ground-truthing of remotely sensed normalized difference vegetation index (NDVI) for improved resource use efficiency in irrigated potato

description: Crop growth monitoring is important for improved management of farming activities, early detection of crop stress and yield forecasting during the season. Remotely sensed spectral vegetation indices (VIs) allow real-time assessment of crop vegetation status over relatively large area, which is critical for development of management information for potato (<i>Solanum tuberosum</i> L.). However, the nature of the relationship between VIs and ground measured data is not known. Therefore, this study was carried out to validate remote sensing derived growth indices with ground measured potato canopy state variables.<b> </b>Detailed measurements were conducted in 30 commercial irrigated potato fields located in three production regions of South Africa from 2016 to 2022. Information including water and nutrient inputs, drainage, nutrient leaching, crop growth variables, soil water dynamics, and satellite-based normalized difference vegetation index (NDVI) was obtained during the various cropping seasons over the years. The indices were then correlated with ground measured growth parameters using regression analysis. Irrigation management guidelines were developed using the results obtained.
DOI: 10.15468/dl.x5z4p3
title: Occurrence Download

description: A dataset containing 5257 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Onthophagus taurus (Schreber, 1759)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 5257 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078009-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bmutt
title: Occurrence Download

description: A dataset containing 3765262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrtaceae"
 ]
}

 The dataset includes 3765262 records from 2193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078003-240626123714530/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.23706865.v1
title: Additional file 5 of Exploring the role and mechanism of Fuzi decoction in the treatment of osteoporosis by integrating network pharmacology and experimental verification

description: Additional file 5. The pathways associated with the common targets.
DOI: 10.6084/m9.figshare.23706908
title: Additional file 1 of Postoperative analgesia for upper gastrointestinal surgery: a retrospective cohort analysis

description: Additional file 1. a Post-operative morphine requirements. b. Post-operative rest pain. c Post-operative dynamic pain.
DOI: 10.6084/m9.figshare.23706908.v1
title: Additional file 1 of Postoperative analgesia for upper gastrointestinal surgery: a retrospective cohort analysis

description: Additional file 1. a Post-operative morphine requirements. b. Post-operative rest pain. c Post-operative dynamic pain.
DOI: 10.6084/m9.figshare.23665299
title: Additional file 1 of Associations between detectable circulating tumor DNA and tumor glucose uptake measured by 18F-FDG PET/CT in early-stage non-small cell lung cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23665299.v1
title: Additional file 1 of Associations between detectable circulating tumor DNA and tumor glucose uptake measured by 18F-FDG PET/CT in early-stage non-small cell lung cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23706959
title: Additional file 3 of IS-Seq: a bioinformatics pipeline for integration sites analysis with comprehensive abundance quantification methods

description: Additional file 3: Raw data relative to Tables 1-5, Figures 4-7, Supplementary Table S9 and Supplementary Figures S2, S4-S6.
DOI: 10.6084/m9.figshare.23706959.v1
title: Additional file 3 of IS-Seq: a bioinformatics pipeline for integration sites analysis with comprehensive abundance quantification methods

description: Additional file 3: Raw data relative to Tables 1-5, Figures 4-7, Supplementary Table S9 and Supplementary Figures S2, S4-S6.
DOI: 10.6084/m9.figshare.23706995
title: Additional file 8 of Inhibition of p90 ribosomal S6 kinases disrupts melanoma cell growth and immune evasion

description: Additional file 8: Suppl. Table S1. Established Melanoma Cell Lines and Patient-Derived Short-Term Cultures with the Respective MAPK Pathway Mutation. Suppl. Table S2. Oligonucleotide Primers for Real-Time Quantitative PCR Analysis. Suppl. Table S3. Primary Antibodies for Western Blot (WB), FACS and Immunohistochemical (IHC) Analyses. Suppl. Table S4. Densitometric Analysis of Immunoblots in Fig. 1A and Suppl. Figure S1A. Suppl. Table S5. Densitometric Analysis of Immunoblots in Fig. 1B and Suppl. Figure S1B. Suppl. Table S6. Densitometric Analysis of Immunoblots in Suppl. Figure S1C. Suppl. Table S7. Densitometric Analysis of Immunoblots in Figure 1C and Suppl. Figure S1E. Suppl. Table S8. Densitometric Analysis of Immunoblots in Suppl. Figure S1D. Suppl. Table S9. Densitometric Analysis of Immunoblots in Fig. 4D. Suppl. Table S10. Densitometric Analysis of Immunoblots in Suppl. Figure S6B. Suppl. Table S11. Densitometric Analysis of Immunoblots in Suppl. Figure S6C. Suppl. Table S12. Densitometric Analysis of Immunoblots in Fig. 5A.
DOI: 10.6084/m9.figshare.23706995.v1
title: Additional file 8 of Inhibition of p90 ribosomal S6 kinases disrupts melanoma cell growth and immune evasion

description: Additional file 8: Suppl. Table S1. Established Melanoma Cell Lines and Patient-Derived Short-Term Cultures with the Respective MAPK Pathway Mutation. Suppl. Table S2. Oligonucleotide Primers for Real-Time Quantitative PCR Analysis. Suppl. Table S3. Primary Antibodies for Western Blot (WB), FACS and Immunohistochemical (IHC) Analyses. Suppl. Table S4. Densitometric Analysis of Immunoblots in Fig. 1A and Suppl. Figure S1A. Suppl. Table S5. Densitometric Analysis of Immunoblots in Fig. 1B and Suppl. Figure S1B. Suppl. Table S6. Densitometric Analysis of Immunoblots in Suppl. Figure S1C. Suppl. Table S7. Densitometric Analysis of Immunoblots in Figure 1C and Suppl. Figure S1E. Suppl. Table S8. Densitometric Analysis of Immunoblots in Suppl. Figure S1D. Suppl. Table S9. Densitometric Analysis of Immunoblots in Fig. 4D. Suppl. Table S10. Densitometric Analysis of Immunoblots in Suppl. Figure S6B. Suppl. Table S11. Densitometric Analysis of Immunoblots in Suppl. Figure S6C. Suppl. Table S12. Densitometric Analysis of Immunoblots in Fig. 5A.
DOI: 10.6084/m9.figshare.23707025
title: Additional file 1 of Phylogenetic and comparative analyses of Hydnora abyssinica plastomes provide evidence for hidden diversity within Hydnoraceae

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23707025.v1
title: Additional file 1 of Phylogenetic and comparative analyses of Hydnora abyssinica plastomes provide evidence for hidden diversity within Hydnoraceae

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23707028
title: Additional file 2 of Phylogenetic and comparative analyses of Hydnora abyssinica plastomes provide evidence for hidden diversity within Hydnoraceae

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.23707028.v1
title: Additional file 2 of Phylogenetic and comparative analyses of Hydnora abyssinica plastomes provide evidence for hidden diversity within Hydnoraceae

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.23707031
title: Additional file 3 of Phylogenetic and comparative analyses of Hydnora abyssinica plastomes provide evidence for hidden diversity within Hydnoraceae

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.23707031.v1
title: Additional file 3 of Phylogenetic and comparative analyses of Hydnora abyssinica plastomes provide evidence for hidden diversity within Hydnoraceae

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.23707037
title: Additional file 5 of Phylogenetic and comparative analyses of Hydnora abyssinica plastomes provide evidence for hidden diversity within Hydnoraceae

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.23707037.v1
title: Additional file 5 of Phylogenetic and comparative analyses of Hydnora abyssinica plastomes provide evidence for hidden diversity within Hydnoraceae

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.23707042
title: Additional file 1 of SNPeffect 5.0: large-scale structural phenotyping of protein coding variants extracted from next-generation sequencing data using AlphaFold models

description: Additional file 1. Output of the pipeline for all missense variants in dbSNP.
DOI: 10.6084/m9.figshare.23707042.v1
title: Additional file 1 of SNPeffect 5.0: large-scale structural phenotyping of protein coding variants extracted from next-generation sequencing data using AlphaFold models

description: Additional file 1. Output of the pipeline for all missense variants in dbSNP.
DOI: 10.6084/m9.figshare.23707045
title: Additional file 2 of SNPeffect 5.0: large-scale structural phenotyping of protein coding variants extracted from next-generation sequencing data using AlphaFold models

description: Additional file 2. Output of the pipeline for all missense variants extracted from the SHP-77 cell line.
DOI: 10.6084/m9.figshare.23707045.v1
title: Additional file 2 of SNPeffect 5.0: large-scale structural phenotyping of protein coding variants extracted from next-generation sequencing data using AlphaFold models

description: Additional file 2. Output of the pipeline for all missense variants extracted from the SHP-77 cell line.
DOI: 10.6084/m9.figshare.23707055
title: Additional file 1 of Long noncoding RNA (taurine upregulated gene 1) and micro RNA-377: emerging players in the development of metabolic syndrome among psoriasis patients

description: Additional file 1. PCR Results.