cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e232057
title: Tracking Vertical Transfer Students’ Credits: Changes in Applicability to Degree Requirements

description: Low bachelor’s-degree receipt rates by community college students have been attributed to credit loss arising from vertical transfer. However, there has been limited quantitative study of the association of transfer with credits’ degree-requirement applicability. The current research used a novel student-record archive to track the degree-requirement applicability of a targeted sample of 796 vertical transfer students’ credits prior to and through transfer. The results show that credits can move in and out of degree applicability at multiple points in a student’s career, not just associated with transfer; that transfer can sometimes be associated with vertical transfer students’ credits becoming degree-requirement applicable; and that articulation between associate and bachelor’s programs can be associated with degree-applicable credit and course transfer. These results can help guide policies that will maximize students’ efficient accumulation of degree-applicable credits.
description: We studied the entire population of students transferring from two community colleges to one college with bachelor's programs.
description: Community college students transferring to bachelor's programs. Smallest Geographic Unit: New York City
description: other;
DOI: 10.3886/e232057v1
title: Tracking Vertical Transfer Students’ Credits: Changes in Applicability to Degree Requirements

description: Low bachelor’s-degree receipt rates by community college students have been attributed to credit loss arising from vertical transfer. However, there has been limited quantitative study of the association of transfer with credits’ degree-requirement applicability. The current research used a novel student-record archive to track the degree-requirement applicability of a targeted sample of 796 vertical transfer students’ credits prior to and through transfer. The results show that credits can move in and out of degree applicability at multiple points in a student’s career, not just associated with transfer; that transfer can sometimes be associated with vertical transfer students’ credits becoming degree-requirement applicable; and that articulation between associate and bachelor’s programs can be associated with degree-applicable credit and course transfer. These results can help guide policies that will maximize students’ efficient accumulation of degree-applicable credits.
description: We studied the entire population of students transferring from two community colleges to one college with bachelor's programs.
description: Community college students transferring to bachelor's programs. Smallest Geographic Unit: New York City
description: other;
DOI: 10.15468/dl.pnttjx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAJ5120"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019486-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqfjzx
title: Occurrence Download

description: A dataset containing 6469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Solanum linnaeanum Hepper & P.-M.L.Jaeger)"
 ]
}

 The dataset includes 6469 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019487-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25402/bmm.14547288
title: Establishment of reference intervals of ten commonly used clinical chemistry analytes: a real-world study in China - Supplementary Tables.docx

description: Supplemental Table 1. Type of kits of the ten clinical chemistry analytes.Supplemental Table 2. Sample size of the ten clinical chemistry analytes according to gender and age groups.Supplemental Table 3. Characteristics of included participants of TC by gender.Supplemental Table 4. Characteristics of included participants of TG by gender.Supplemental Table 5. Characteristics of included participants of Apo A1 by gender.Supplemental Table 6. Characteristics of included participants of Apo B by gender.Supplemental Table 7. Characteristics of included participants of CK by gender.Supplemental Table 8. Characteristics of included participants of CK-MB by gender.Supplemental Table 9. Characteristics of included participants of glucose by gender.Supplemental Table 10. Characteristics of included participants of ALP by gender.Supplemental Table 11. Characteristics of included participants of γ-GGT by gender.Supplemental Table 12. Characteristics of included participants of BUN by gender.
DOI: 10.25402/bmm.14547288.v1
title: Establishment of reference intervals of ten commonly used clinical chemistry analytes: a real-world study in China - Supplementary Tables.docx

description: Supplemental Table 1. Type of kits of the ten clinical chemistry analytes.Supplemental Table 2. Sample size of the ten clinical chemistry analytes according to gender and age groups.Supplemental Table 3. Characteristics of included participants of TC by gender.Supplemental Table 4. Characteristics of included participants of TG by gender.Supplemental Table 5. Characteristics of included participants of Apo A1 by gender.Supplemental Table 6. Characteristics of included participants of Apo B by gender.Supplemental Table 7. Characteristics of included participants of CK by gender.Supplemental Table 8. Characteristics of included participants of CK-MB by gender.Supplemental Table 9. Characteristics of included participants of glucose by gender.Supplemental Table 10. Characteristics of included participants of ALP by gender.Supplemental Table 11. Characteristics of included participants of γ-GGT by gender.Supplemental Table 12. Characteristics of included participants of BUN by gender.
DOI: 10.25402/bmm.14939163
title: supplementary data High expression of DNAJA1 (HDJ2) predicts unfavorable survival outcomes in breast cancer.pdf

description: <b>Supplemental Table
 S1</b>. Sample information sheet of the commercial tissue microarray (TMA)
 used in the study TMA (BC081116b): Breast carcinoma tissue microarray with
 adjacent breast tissue, containing 100 cases of breast invasive ductal
 carcinoma and 10 cases of adjacent breast tissue, single core per case
 (Biomax Inc. Rockville, MD, USA)
 <b>Supplemental Table
 S2.</b> Sample information sheet of the commercial tissue microarray (TMA)
 used in the study TMA (BR486): Breast invasive ductal carcinoma tissue
 microarray with matched adjacent normal mbreast tissue, containing 16 cases
 of breast invasive ductal carcinoma with matched adjacent normal breast
 tissue, triplicate cores per case (Biomax Inc. Rockville, MD, USA)
 <b>Supplemental Table
 S3.</b> Primers used for mutation analysis
 <b>Supplemental Table
 S4.</b> GEO and Array Express datasets used for survival (OS, RFS and DMFS)
 analyses by KM-plotter
 <b>Supplemental Table
 S5.</b> Associations between DNAJA1 protein expression and clinical
 characteristics of invasive breast carcinoma samples
 <b>Supplemental
 Figure S1.</b> Representative photographs from DNAJA1 immunohistochemistry
 study performed with commercial tissue microarrays.
 <b>Supplemental
 Figure S2</b>
 Kaplan-Meier plots of
 OS (a), RFS (b) and DMFS (c) in breast cancer subtypes according to DNAJA1
 mRNA expression.
 <b>Supplemental
 Figure S3</b>
 (a) Heterozygous SNP
 (rs2297218) in the promoter region of DNAJA1 in SK-BR-3 cell line. “SK-BR-3
 (F)”: Sequencing with forward primer; “SK-BR-3 (R)”: Sequencing with reverse
 primer; “Ref. Seq”: DNAJA1 genomic sequence (NCBI Gene ID: 3301) (b) The
 position of the SNP relative to the promotor
 motifs and location
 of the primers are depicted. Promotor motifs are estimated by EPD “Search
 Motif Tool” from -2000 bp to 100 bp relative to TSS (P value = 0.001)
 (https://epd.epfl.ch//index.php). 
 <b>Supplemental
 Figure S4</b>
 Bisulfite-modified
 sequences of the DNAJA1 gene analysed by COBRA assay.
 <b>Supplemental
 Figure S5</b>
 Kaplan-Meier plot of Overall
 Survival in breast cancer according to DNAJA1 protein expression (n=65)
 (Uniprot ID: P31689) (Györffy et al., 2010; Tang et al., 2018)
DOI: 10.25402/bmm.15042810
title: Table S1. The statistical difference of 28 miRNAs between 5 IDC pools and 3 HCs pools at the screening cohort

description: Abstract: 
 Background: Breast
 cancer, especially invasive ductal carcinoma (IDC), is the cause of a great
 clinical burden. MicroRNA (miRNA) could be considered as a non-invasive
 biomarkers for IDC diagnosis.
 Methods: 260
 participants (135 IDC patients and 125 healthy controls (HCs)) were enrolled
 in a three-cohort study. The expression of 28 miRNAs in serum were detected
 with quantitative reverse transcription-polymerase chain reaction (qRT-PCR).
 Bioinformatic analysis was used for predicting the target genes of 3 selected
 miRNAs..
 Results: The
 expression level of 7 miRNAs (miR-9-5p, miR-34b-3p, miR-1-3p, miR-146a-5p,
 miR-20a-5p, miR-34a-5p, miR-125b-5p) were discrepant at the validation
 cohort. Through statistical test, a three-miRNA panel (miR-9-5p, miR-34b-3p,
 miR-146a-5p) was significant for IDC diagnosis (AUC=0.880, sensitivity =
 86.25%, specificity = 81.25%).
 
 




Conclusion: The three-miRNA panel in serum could
be used as a non-invasive biomarker in the diagnosis of IDC
DOI: 10.25402/bmm.15042810.v1
title: Table S1. The statistical difference of 28 miRNAs between 5 IDC pools and 3 HCs pools at the screening cohort

description: Abstract: 
 Background: Breast
 cancer, especially invasive ductal carcinoma (IDC), is the cause of a great
 clinical burden. MicroRNA (miRNA) could be considered as a non-invasive
 biomarkers for IDC diagnosis.
 Methods: 260
 participants (135 IDC patients and 125 healthy controls (HCs)) were enrolled
 in a three-cohort study. The expression of 28 miRNAs in serum were detected
 with quantitative reverse transcription-polymerase chain reaction (qRT-PCR).
 Bioinformatic analysis was used for predicting the target genes of 3 selected
 miRNAs..
 Results: The
 expression level of 7 miRNAs (miR-9-5p, miR-34b-3p, miR-1-3p, miR-146a-5p,
 miR-20a-5p, miR-34a-5p, miR-125b-5p) were discrepant at the validation
 cohort. Through statistical test, a three-miRNA panel (miR-9-5p, miR-34b-3p,
 miR-146a-5p) was significant for IDC diagnosis (AUC=0.880, sensitivity =
 86.25%, specificity = 81.25%).
 
 




Conclusion: The three-miRNA panel in serum could
be used as a non-invasive biomarker in the diagnosis of IDC
DOI: 10.15468/dl.av6r7b
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Athanas edwardsii Andouin, 1826"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019488-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25402/bmm.16592726
title: Supplementary Meterials. Biomarker profiles in obesity patients and relation to cardiac dysfunction.

description: Supplementary Table 1.
List of abbreviations of all 92 biomarkers.
DOI: 10.25402/bmm.16837795
title: Supplementary Figure 1. Low vitamin K status, high sclerostin and mortality risk of stable coronary heart disease patients.

description: <b>Supplementary Table.</b> Adjusted 5-years risk of non-fatal
cardiovascular events or hospitalizations for heart failure attributable to
high dp-ucMGP or high sclerostin.
DOI: 10.25402/bmm.19235883
title: Supplementary materials. Prognostic value of PD-L1 expression combined with hypoxia-associated immunosuppression in hepatocellular carcinoma

description: Supplemental Table S1. The follow-up information of patients with hepatocellular carcinoma.<br><br>
DOI: 10.25402/bmm.19235883.v1
title: Supplementary materials. Prognostic value of PD-L1 expression combined with hypoxia-associated immunosuppression in hepatocellular carcinoma

description: Supplemental Table S1. The follow-up information of patients with hepatocellular carcinoma.<br><br>
DOI: 10.25402/bmm.19410434
title: Supplementary Materials: Association of oncostatin M receptor polymorphisms with clinical recurrence of ovarian cancer in the Chinese Han population.

description: Supplementary table 1. Association between SNPs in OSMR and patient’s characteristics.<br>Supplementary table 2. Association between SNPs in OSMR and patients’ outcome of non-serous ovarian cancer.<br>Supplementary Figure 1. Kaplan-Meier survival curves of OSMR rs2278329 polymorphisms in OC patients.<br>
DOI: 10.25402/bmm.19410434.v1
title: Supplementary Materials: Association of oncostatin M receptor polymorphisms with clinical recurrence of ovarian cancer in the Chinese Han population.

description: Supplementary table 1. Association between SNPs in OSMR and patient’s characteristics.<br>Supplementary table 2. Association between SNPs in OSMR and patients’ outcome of non-serous ovarian cancer.<br>Supplementary Figure 1. Kaplan-Meier survival curves of OSMR rs2278329 polymorphisms in OC patients.<br>
DOI: 10.6084/m9.figshare.24798567
title: <b>16S rRNA, metagenomics and 2bRAD-M sequencing to decode human thanatomicrobiome</b>

description: In this study, 16S rRNA, metagenomic sequencing and 2Brach-M sequencing were used to detect the microbiota of 8 cadaveric bodies at different stages of decomposition. Nine different sites, including the mouth and nasal passages, heart, liver, spleen, lungs, kidneys, muscles, and intestines, were analyzed and the effectiveness of these methods assessed.
DOI: 10.6084/m9.figshare.24798567.v2
title: <b>数据</b><b>16S rRNA, metagenomics and 2bRAD-M sequencing to decode human thanatomicrobiome</b>

description: 本研究采用16S rRNA、宏基因组测序和2bRAD-M测序检测了8具尸体不同分解阶段的微生物群。分析了九个不同的部位，包括口腔和鼻腔、心脏、肝脏、脾脏、肺、肾脏、肌肉和肠道，并评估了这些方法的有效性。
DOI: 10.15468/dl.843yvq
title: Occurrence Download

description: A dataset containing 502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tradescantia zebrina Bosse"
 ]
}

 The dataset includes 502 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019493-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25402/bmm.21828405
title: Supplementary Methods - LRP1B as a potential gastric cancer biomarker

description: <strong>Background: </strong>The aim of this study was to discover unique membrane proteins associated with gastric cancer (GC) in proteomics analysis. <strong>Methods: </strong>Using a data-independent acquisition strategy, we compared the relative expression levels of membrane proteins in GC. <strong>Results: </strong>A total of 2774 differentially expressed membrane proteins were identified between GC and normal cell lines. Conjoint analysis of transcriptomes and proteomes provided 11 potential biomarkers (GPRC5A, PSAT1, NUDCD1, RCC2, IPO4, FAM91A1, KANK2, PRADC1, NME4, METTL7A and LRP1B) for further exploration. Downregulation of LRP1B in GC was validated by immunohistochemistry. Moreover, LRP1B demonstrated an area under the receiver operating characteristic curve of 0.917 in differentiating GC from normal tissues. <strong>Conclusion: </strong>LRP1B was identified as a meaningful indicator assisting in GC detection and labeling of tumor boundaries.
DOI: 10.25402/bmm.21828405.v1
title: Supplementary Methods - LRP1B as a potential gastric cancer biomarker

description: <strong>Background: </strong>The aim of this study was to discover unique membrane proteins associated with gastric cancer (GC) in proteomics analysis. <strong>Methods: </strong>Using a data-independent acquisition strategy, we compared the relative expression levels of membrane proteins in GC. <strong>Results: </strong>A total of 2774 differentially expressed membrane proteins were identified between GC and normal cell lines. Conjoint analysis of transcriptomes and proteomes provided 11 potential biomarkers (GPRC5A, PSAT1, NUDCD1, RCC2, IPO4, FAM91A1, KANK2, PRADC1, NME4, METTL7A and LRP1B) for further exploration. Downregulation of LRP1B in GC was validated by immunohistochemistry. Moreover, LRP1B demonstrated an area under the receiver operating characteristic curve of 0.917 in differentiating GC from normal tissues. <strong>Conclusion: </strong>LRP1B was identified as a meaningful indicator assisting in GC detection and labeling of tumor boundaries.
DOI: 10.15468/dl.2gezdm
title: Occurrence Download

description: A dataset containing 1289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Charybdis japonica (A.Milne-Edwards, 1861)"
 ]
}

 The dataset includes 1289 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019492-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25402/bmm.21828408
title: Supplementary Table 1 - LRP1B as a potential gastric cancer biomarker

description: <strong>Background: </strong>The aim of this study was to discover unique membrane proteins associated with gastric cancer (GC) in proteomics analysis. <strong>Methods: </strong>Using a data-independent acquisition strategy, we compared the relative expression levels of membrane proteins in GC. <strong>Results: </strong>A total of 2774 differentially expressed membrane proteins were identified between GC and normal cell lines. Conjoint analysis of transcriptomes and proteomes provided 11 potential biomarkers (GPRC5A, PSAT1, NUDCD1, RCC2, IPO4, FAM91A1, KANK2, PRADC1, NME4, METTL7A and LRP1B) for further exploration. Downregulation of LRP1B in GC was validated by immunohistochemistry. Moreover, LRP1B demonstrated an area under the receiver operating characteristic curve of 0.917 in differentiating GC from normal tissues. <strong>Conclusion: </strong>LRP1B was identified as a meaningful indicator assisting in GC detection and labeling of tumor boundaries.
DOI: 10.25402/bmm.21828408.v1
title: Supplementary Table 1 - LRP1B as a potential gastric cancer biomarker

description: <strong>Background: </strong>The aim of this study was to discover unique membrane proteins associated with gastric cancer (GC) in proteomics analysis. <strong>Methods: </strong>Using a data-independent acquisition strategy, we compared the relative expression levels of membrane proteins in GC. <strong>Results: </strong>A total of 2774 differentially expressed membrane proteins were identified between GC and normal cell lines. Conjoint analysis of transcriptomes and proteomes provided 11 potential biomarkers (GPRC5A, PSAT1, NUDCD1, RCC2, IPO4, FAM91A1, KANK2, PRADC1, NME4, METTL7A and LRP1B) for further exploration. Downregulation of LRP1B in GC was validated by immunohistochemistry. Moreover, LRP1B demonstrated an area under the receiver operating characteristic curve of 0.917 in differentiating GC from normal tissues. <strong>Conclusion: </strong>LRP1B was identified as a meaningful indicator assisting in GC detection and labeling of tumor boundaries.
DOI: 10.25402/bmm.21828411
title: Supplementary Table 2 - LRP1B as a potential gastric cancer biomarker

description: <strong>Background: </strong>The aim of this study was to discover unique membrane proteins associated with gastric cancer (GC) in proteomics analysis. <strong>Methods: </strong>Using a data-independent acquisition strategy, we compared the relative expression levels of membrane proteins in GC. <strong>Results: </strong>A total of 2774 differentially expressed membrane proteins were identified between GC and normal cell lines. Conjoint analysis of transcriptomes and proteomes provided 11 potential biomarkers (GPRC5A, PSAT1, NUDCD1, RCC2, IPO4, FAM91A1, KANK2, PRADC1, NME4, METTL7A and LRP1B) for further exploration. Downregulation of LRP1B in GC was validated by immunohistochemistry. Moreover, LRP1B demonstrated an area under the receiver operating characteristic curve of 0.917 in differentiating GC from normal tissues. <strong>Conclusion: </strong>LRP1B was identified as a meaningful indicator assisting in GC detection and labeling of tumor boundaries.
DOI: 10.25402/bmm.21828411.v1
title: Supplementary Table 2 - LRP1B as a potential gastric cancer biomarker

description: <strong>Background: </strong>The aim of this study was to discover unique membrane proteins associated with gastric cancer (GC) in proteomics analysis. <strong>Methods: </strong>Using a data-independent acquisition strategy, we compared the relative expression levels of membrane proteins in GC. <strong>Results: </strong>A total of 2774 differentially expressed membrane proteins were identified between GC and normal cell lines. Conjoint analysis of transcriptomes and proteomes provided 11 potential biomarkers (GPRC5A, PSAT1, NUDCD1, RCC2, IPO4, FAM91A1, KANK2, PRADC1, NME4, METTL7A and LRP1B) for further exploration. Downregulation of LRP1B in GC was validated by immunohistochemistry. Moreover, LRP1B demonstrated an area under the receiver operating characteristic curve of 0.917 in differentiating GC from normal tissues. <strong>Conclusion: </strong>LRP1B was identified as a meaningful indicator assisting in GC detection and labeling of tumor boundaries.
DOI: 10.25402/bmm.21828414
title: Supplementary Figure 1 - LRP1B as a potential gastric cancer biomarker

description: <strong>Background: </strong>The aim of this study was to discover unique membrane proteins associated with gastric cancer (GC) in proteomics analysis. <strong>Methods: </strong>Using a data-independent acquisition strategy, we compared the relative expression levels of membrane proteins in GC. <strong>Results: </strong>A total of 2774 differentially expressed membrane proteins were identified between GC and normal cell lines. Conjoint analysis of transcriptomes and proteomes provided 11 potential biomarkers (GPRC5A, PSAT1, NUDCD1, RCC2, IPO4, FAM91A1, KANK2, PRADC1, NME4, METTL7A and LRP1B) for further exploration. Downregulation of LRP1B in GC was validated by immunohistochemistry. Moreover, LRP1B demonstrated an area under the receiver operating characteristic curve of 0.917 in differentiating GC from normal tissues. <strong>Conclusion: </strong>LRP1B was identified as a meaningful indicator assisting in GC detection and labeling of tumor boundaries.
DOI: 10.25402/bmm.21828414.v1
title: Supplementary Figure 1 - LRP1B as a potential gastric cancer biomarker

description: <strong>Background: </strong>The aim of this study was to discover unique membrane proteins associated with gastric cancer (GC) in proteomics analysis. <strong>Methods: </strong>Using a data-independent acquisition strategy, we compared the relative expression levels of membrane proteins in GC. <strong>Results: </strong>A total of 2774 differentially expressed membrane proteins were identified between GC and normal cell lines. Conjoint analysis of transcriptomes and proteomes provided 11 potential biomarkers (GPRC5A, PSAT1, NUDCD1, RCC2, IPO4, FAM91A1, KANK2, PRADC1, NME4, METTL7A and LRP1B) for further exploration. Downregulation of LRP1B in GC was validated by immunohistochemistry. Moreover, LRP1B demonstrated an area under the receiver operating characteristic curve of 0.917 in differentiating GC from normal tissues. <strong>Conclusion: </strong>LRP1B was identified as a meaningful indicator assisting in GC detection and labeling of tumor boundaries.