cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6866675
title: The Effect of Intrinsic Radiation from a 3 × 3-in. LaBr<sub>3</sub>(Ce) Scintillation Detector on In Situ Artificial Radiation Measurements

description: In situ radiation measurements are commonly used to detect radioactive material in luggage; at border control checkpoints; for in-field monitoring; during the illicit transfer of nuclear material; and at radioactive contamination sites, e.g., the Fukushima nuclear accident site. In considering the high brightness, fast decay time, and good energy resolution of cerium-doped lanthanum bromide [LaBr<sub>3</sub>(Ce)] scintillation detectors, this work conducted an experimental analysis aimed at evaluating the potential for applying LaBr<sub>3</sub>(Ce) detectors to in situ artificial radiation measurements. The effect of the intrinsic radiation of the LaBr<sub>3</sub>(Ce) detector was investigated. In addition, the intrinsic radiation contribution to the background radiation of the region of interest (ROI) under full-energy peaks for several artificial point sources and the minimum detectable activity (MDA) values of a 3 × 3-in. LaBr<sub>3</sub>(Ce) detector for several artificial radioactive point sources under unshielded (in the natural background) and well-shielded (in a low background chamber) conditions were calculated. The results indicate that the intrinsic radiation has a significant effect on the background radiation of the ROI especially when the full-energy peaks of several artificial point sources are located in the low-energy region or near 789 and 1400 keV. In addition, the MDAs (the measured time is 300 s) of the LaBr<sub>3</sub>(Ce) detector for <sup>152</sup>Eu (121.78 keV), <sup>133</sup>Ba (356 keV), <sup>137</sup>Cs (661.7 keV), and <sup>60</sup>Co (1332.5 keV) were 218.2, 63.6, 61.3, and 59.6 Bq, respectively, under unshielded conditions and 111.4, 39.1, 46.1, and 38.6 Bq, respectively, under well-shielded conditions. The intrinsic radiation also has some effects on the MDA of the LaBr<sub>3</sub>(Ce) detector, especially in the low-energy region. Thus, the drawback of its intrinsic radiation limits its application to in situ weak artificial radiation measurements, but LaBr<sub>3</sub>(Ce) detectors have the potential for use in medium- and high-radiation measurements due to the better energy resolution of these detectors than NaI(Tl) detectors.
DOI: 10.25582/data.2021-12.2390628/2286400
title: Data for EMSL Project 51834 from December 2021
DOI: 10.6084/m9.figshare.21546777
title: Additional file 5 of Detection of cytomegalovirus (CMV) by digital PCR in stool samples for the non-invasive diagnosis of CMV gastroenteritis

description: Additional file 5. The details of assay validation and data analysis about figures in this study.
DOI: 10.6084/m9.figshare.7915307.v1
title: Additional file 6: of Integrated analysis of lncRNA and mRNA repertoires in Marekâ s disease infected spleens identifies genes relevant to resistance

description: The number of protein coding genes and lncRNAs included in each clusters and the cluster-trait relationship. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.21546771
title: Additional file 3 of Detection of cytomegalovirus (CMV) by digital PCR in stool samples for the non-invasive diagnosis of CMV gastroenteritis

description: Additional file 3. The details of dPCR oligonucleotides design and target information.
DOI: 10.6084/m9.figshare.21546739
title: Additional file 5 of Downregulation of zinc finger protein 71 in laryngeal squamous cell carcinoma tissues and its potential molecular mechanism and clinical significance: a study based on immunohistochemistry staining and data mining

description: Additional file 5: Table S5. Pearson correlation analysis between ZNF71 and its putative target genes which relates to tight junction.
DOI: 10.25582/data.2022-04.2478135/2286401
title: Data for EMSL Project 51834 from April 2022
DOI: 10.6084/m9.figshare.21546724.v1
title: Additional file 1 of Downregulation of zinc finger protein 71 in laryngeal squamous cell carcinoma tissues and its potential molecular mechanism and clinical significance: a study based on immunohistochemistry staining and data mining

description: Additional file 1: Table S1. Raw data for IHC staining.
DOI: 10.6084/m9.figshare.21546760.v1
title: Additional file 1 of Genome-wide association study uncovers major genetic loci associated with flowering time in response to active accumulated temperature in wild soybean population

description: Additional file 1: Table S1. Prier used in this study. Table S2. List of 392 Glycine soja accessions and acumulated temperature zones. Table S3. 92 SNPs that significantly associated with flowering time in average across the two-year experiment (2020 and 2021). Table S4. The genes conresponding to the genomic regions surrounding ~50Kb of 92 SNPs that signficantly associated with flowering time in average in 2020 and 2021. Table S5. 28 candidate genes related to flowering time recorded in 2020 and 2021, and flowering time in average between 2020 and 2021. Table S6. Gene Ontology analysis on the 339 genes mapped to Arabidopsis gene ID.
DOI: 10.6084/m9.figshare.7915271.v1
title: Additional file 1: of Integrated analysis of lncRNA and mRNA repertoires in Marekâ s disease infected spleens identifies genes relevant to resistance

description: Genomic location of 1166 newly re-assembled known lncRNAs in ALDB and NONCODE. (XLSX 196 kb)
DOI: 10.25582/data.2021-08.2303224/2286402
title: Data for EMSL Project 51834 from August 2021
DOI: 10.6084/m9.figshare.12109533.v1
title: Additional file 7 of Comparative transcriptome analysis of two contrasting wolfberry genotypes during fruit development and ripening and characterization of the LrMYB1 transcription factor that regulates flavonoid biosynthesis

description: Additional file 7 FPKM values of the anthocyanin- and sugar-related genes of each biological replication in the fruit of the two Lycium species. S1: 10 DAF; S2: 25 DAF; S3: 40 DAF.
DOI: 10.6084/m9.figshare.21546760
title: Additional file 1 of Genome-wide association study uncovers major genetic loci associated with flowering time in response to active accumulated temperature in wild soybean population

description: Additional file 1: Table S1. Prier used in this study. Table S2. List of 392 Glycine soja accessions and acumulated temperature zones. Table S3. 92 SNPs that significantly associated with flowering time in average across the two-year experiment (2020 and 2021). Table S4. The genes conresponding to the genomic regions surrounding ~50Kb of 92 SNPs that signficantly associated with flowering time in average in 2020 and 2021. Table S5. 28 candidate genes related to flowering time recorded in 2020 and 2021, and flowering time in average between 2020 and 2021. Table S6. Gene Ontology analysis on the 339 genes mapped to Arabidopsis gene ID.
DOI: 10.6084/m9.figshare.7915370
title: Additional file 1: of Applicability and cross-cultural validation of the Chinese version of the Warwick-Edinburgh mental well-being scale in patients with chronic heart failure

description: The stastical data in the EXCEL incluses results for ANOVA's and their post-hoc tests. (XLS 27 kb)
DOI: 10.25582/data.2021-11.2387262/2286403
title: Data for EMSL Project 51834 from November 2021
DOI: 10.6084/m9.figshare.21546771.v1
title: Additional file 3 of Detection of cytomegalovirus (CMV) by digital PCR in stool samples for the non-invasive diagnosis of CMV gastroenteritis

description: Additional file 3. The details of dPCR oligonucleotides design and target information.
DOI: 10.25582/data.2022-04.2479145/2286404
title: Data for EMSL Project 51834 from April 2022
DOI: 10.6084/m9.figshare.7915286
title: Additional file 2: of Integrated analysis of lncRNA and mRNA repertoires in Marekâ s disease infected spleens identifies genes relevant to resistance

description: Genomic location and classification of 1315 putative lncRNAs. (XLSX 124 kb)
DOI: 10.6084/m9.figshare.21546765
title: Additional file 1 of Detection of cytomegalovirus (CMV) by digital PCR in stool samples for the non-invasive diagnosis of CMV gastroenteritis

description: Additional file 1. The dMIQE2020 checklist.
DOI: 10.25582/data.2022-01.2417226/2286405
title: Data for EMSL Project 51834 from January 2022
DOI: 10.6084/m9.figshare.21546765.v1
title: Additional file 1 of Detection of cytomegalovirus (CMV) by digital PCR in stool samples for the non-invasive diagnosis of CMV gastroenteritis

description: Additional file 1. The dMIQE2020 checklist.
DOI: 10.6084/m9.figshare.7915298
title: Additional file 5: of Integrated analysis of lncRNA and mRNA repertoires in Marekâ s disease infected spleens identifies genes relevant to resistance

description: DE protein coding genes, known lncRNAs and putative lncRNAs in 17 samples. (XLSX 237 kb)
DOI: 10.25582/data.2021-11.2387277/2286406
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-11.2384680/2286407
title: Data for EMSL Project 51834 from November 2021
DOI: 10.6084/m9.figshare.7915313.v1
title: Additional file 7: of Integrated analysis of lncRNA and mRNA repertoires in Marekâ s disease infected spleens identifies genes relevant to resistance

description: Gene Significance, Module Membership, and P-value of protein coding genes and lncRNAs in WGCNA co-expression network. MM1 (Module Membership between gene and cluster 1); P_MM1 (P-value of each MM1); GS (Gene Significance); PG (P-value of each Gene Significance). (XLSX 3957 kb)
DOI: 10.25582/data.2021-10.2368132/2286408
title: Data for EMSL Project 51834 from October 2021
DOI: 10.6084/m9.figshare.7915370.v1
title: Additional file 1: of Applicability and cross-cultural validation of the Chinese version of the Warwick-Edinburgh mental well-being scale in patients with chronic heart failure

description: The stastical data in the EXCEL incluses results for ANOVA's and their post-hoc tests. (XLS 27 kb)
DOI: 10.25582/data.2022-01.2417547/2286409
title: Data for EMSL Project 51834 from January 2022
DOI: 10.6084/m9.figshare.15253729.v1
title: Additional file 3 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 3. Homologous correspondence of oil-biosynthesis-related genes between Arabidopsis and Jatropha curcas.
DOI: 10.25582/data.2022-10.2621387/2286410
title: Data for EMSL Project 51834 from October 2022
DOI: 10.6084/m9.figshare.16828261.v1
title: Aflatoxin M1 contamination in raw milk and its association with herd types in the ten provinces of Southern China

description: The incidence of aflatoxin M1 (AFM1) contamination in raw milk and its association with herd types was investigated in the ten provinces of Southern China in 2018. A total of 797 raw milk samples were collected from Zhejiang, Jiangxi, Jiangsu, Hunan, Hubei, Hainan, Guangxi, Guangdong, Fujian, and Anhui provinces. The herd types were classified according to their characteristics. Among the 797 samples, 401 were owned by large-scale farms (herd size &gt;500 cows, for dairy cow farming), 303 were owned by milk processing plants (herd size &gt;500 cows, for dairy cow farming + milk processing), and 93 were owned by small farm cooperatives (herd size ≤500 cows, for dairy cow farming). The results revealed the presence of AFM1 in 94 of the 797 samples (11.80%). None of them was above 500 ng/L (Chinese and US limit standard), whereas 0.88% were above 50 ng/L (EU limit standard). The AFM1 concentrations in samples non-compliant with the EU standard were 52, 61, 88, 89.5, 164, 240, and 486 ng/L, respectively. It is important to note that samples exceeding the EU limit were mainly found in the area of Jiangsu and Guangxi provinces, and the herd type of milk processing plants. Hence, it is necessary to monitor and enforce the regulatory compliance of AFM1 levels in the raw milk from these specific areas and herd type.HighlightsA total of 797 raw milk samples from three herd types, were collected from ten provinces of Southern China in 2018.Ninety-four of the 797 raw milk samples (11.80%) were positive for AFM1, and none of them was above the Chinese and US legal limit, only 0.88% of samples were above the EU limit.All of the exceed samples defined by EU limit were found in the area of Jiangsu and Guangxi provinces and belonged to milk processing plants. A total of 797 raw milk samples from three herd types, were collected from ten provinces of Southern China in 2018. Ninety-four of the 797 raw milk samples (11.80%) were positive for AFM1, and none of them was above the Chinese and US legal limit, only 0.88% of samples were above the EU limit. All of the exceed samples defined by EU limit were found in the area of Jiangsu and Guangxi provinces and belonged to milk processing plants.
DOI: 10.25582/data.2021-09.2327120/2286411
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-10.2614535/2286412
title: Data for EMSL Project 51834 from October 2022
DOI: 10.6084/m9.figshare.15253452.v1
title: Additional file 1 of X-CNV: genome-wide prediction of the pathogenicity of copy number variations

description: Additional file 1. Table S1. The sample information of the natural population collected from dbVar and DGV. Table S2. The 19,575 CNVs from dbVar used for model training. Table S3. The 8966 CNVs used for model validation and 22,976 likely pathogenic, likely benign, or uncertain CNVs used to quantitively measure the pathogenic effect from ClinGen and DECIPHER. Table S4. The 30 predictive features used by XGBoost algorithm. Table S5. The 1666 CNVs with a definite phenotype from DECIPHER database. Table S6. 32 CNV losses with a definite phenotype from DECIPHER, which were located in 8 tumor-suppressing cancer predisposition genes (CPGs), including APC, CDKN2A, CHEK2, NF1, NF2, RB1, TP53, and TSC2. Table S7. The coverage of the unified CNVs on the chromosomes of the human genome.
DOI: 10.25582/data.2021-09.2316923/2286413
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-11.2387399/2286414
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-12.2411288/2286415
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-10.2368124/2286416
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-09.2322429/2286417
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-10.2353361/2286418
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-01.2417397/2286419
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2021-10.2353366/2286420
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-10.2617183/2286421
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2022-10.2621234/2286422
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-08.2305224/2286423
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2022-10.2617742/2286424
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-11.2387130/2286425
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-10.2365462/2286426
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-09.2327116/2286427
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-01.2417227/2286428
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2021-09.2322497/2286429
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-12.2389906/2286430
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-11.2389071/2286431
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-11.2384667/2286432
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2022-02.2437127/2286433
title: Data for EMSL Project 51834 from February 2022
DOI: 10.25582/data.2022-10.2616149/2286434
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-09.2316269/2286435
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-10.2616958/2286436
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-09.2322409/2286437
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-11.2388188/2286438
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2022-10.2621363/2286439
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-11.2380510/2286440
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-09.2318266/2286441
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-11.2375860/2286442
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2022-04.2479181/2286443
title: Data for EMSL Project 51834 from April 2022
DOI: 10.25582/data.2021-09.2317934/2286444
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-10.2360925/2286445
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-12.2392874/2286446
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-09.2322563/2286447
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-09.2329631/2286448
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-11.2388400/2286450
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-10.2352002/2286451
title: Data for EMSL Project 51834 from October 2021
DOI: 10.6084/m9.figshare.16828261
title: Aflatoxin M1 contamination in raw milk and its association with herd types in the ten provinces of Southern China

description: The incidence of aflatoxin M1 (AFM1) contamination in raw milk and its association with herd types was investigated in the ten provinces of Southern China in 2018. A total of 797 raw milk samples were collected from Zhejiang, Jiangxi, Jiangsu, Hunan, Hubei, Hainan, Guangxi, Guangdong, Fujian, and Anhui provinces. The herd types were classified according to their characteristics. Among the 797 samples, 401 were owned by large-scale farms (herd size &gt;500 cows, for dairy cow farming), 303 were owned by milk processing plants (herd size &gt;500 cows, for dairy cow farming + milk processing), and 93 were owned by small farm cooperatives (herd size ≤500 cows, for dairy cow farming). The results revealed the presence of AFM1 in 94 of the 797 samples (11.80%). None of them was above 500 ng/L (Chinese and US limit standard), whereas 0.88% were above 50 ng/L (EU limit standard). The AFM1 concentrations in samples non-compliant with the EU standard were 52, 61, 88, 89.5, 164, 240, and 486 ng/L, respectively. It is important to note that samples exceeding the EU limit were mainly found in the area of Jiangsu and Guangxi provinces, and the herd type of milk processing plants. Hence, it is necessary to monitor and enforce the regulatory compliance of AFM1 levels in the raw milk from these specific areas and herd type.HighlightsA total of 797 raw milk samples from three herd types, were collected from ten provinces of Southern China in 2018.Ninety-four of the 797 raw milk samples (11.80%) were positive for AFM1, and none of them was above the Chinese and US legal limit, only 0.88% of samples were above the EU limit.All of the exceed samples defined by EU limit were found in the area of Jiangsu and Guangxi provinces and belonged to milk processing plants. A total of 797 raw milk samples from three herd types, were collected from ten provinces of Southern China in 2018. Ninety-four of the 797 raw milk samples (11.80%) were positive for AFM1, and none of them was above the Chinese and US legal limit, only 0.88% of samples were above the EU limit. All of the exceed samples defined by EU limit were found in the area of Jiangsu and Guangxi provinces and belonged to milk processing plants.
DOI: 10.25582/data.2021-09.2315119/2286452
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-09.2318867/2286455
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-09.2318876/2286457
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-08.2305253/2286460
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2022-09.2611072/2286461
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-12.2411091/2286462
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-09.2327408/2286463
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-09.2322504/2286464
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-09.2610695/2286465
title: Data for EMSL Project 51834 from September 2022
DOI: 10.6084/m9.figshare.14205531
title: Additional file 2 of Transcriptomic, proteomic, and physiological comparative analyses of flooding mitigation of the damage induced by low-temperature stress in direct seeded early indica rice at the seedling stage

description: Additional file 2 : Dataset S2. Summaries and expression patterns of DEPs between LTF and CK.
DOI: 10.25582/data.2022-10.2614519/2286466
title: Data for EMSL Project 51834 from October 2022
DOI: 10.6084/m9.figshare.15253977.v1
title: Additional file 1 of Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment

description: Additional file 1: Supplementary Table S1, Supplementary Table S2, Supplementary Table S3, and Supplementary Table S4. Supplementary Table S1. Shows an overview of the Breast Cancer Association Consortium studies included in the analyses. Supplementary Table S2. Includes the rationale and references to the literature supporting the choice of each subgroup for inclusion in a genome-wide association study on breast cancer-specific survival. Supplementary Table S3. Shows the characteristics of the breast cancer patients included in the 15-year breast cancer-specific survival analyses, overall and by subgroup. Supplementary Table S4. Shows the characteristics of the breast cancer patients included in the 5-year breast cancer-specific survival analyses for subgroups defined based on type of systemic treatment received.
DOI: 10.25582/data.2022-09.2607225/2286467
title: Data for EMSL Project 51834 from September 2022
DOI: 10.17028/rd.lboro.14731317.v1
title: Supplementary information files for Ru nanoparticles supported on partially reduced TiO<sub>2</sub> as highly efficient catalyst for hydrogen evolution

description: Supplementary files for article Ru nanoparticles supported on partially reduced TiO<sub>2</sub> as highly efficient catalyst for hydrogen evolution. The development of low-cost yet highly efficient catalysts for hydrogen evolution reaction (HER) is crucial for large-scale clean and sustainable hydrogen production from water splitting. Tuning the interfacial structure of catalyst has emerged as an effective strategy to optimize the intrinsic catalytic activity. In this study, we demonstrated the deposition of Ru nanoparticles by freshly prepared strong reductive Ti(III) oxide, resulting in Ru/reduced TiO<sub>2</sub> interface with oxygen vacancies. The as-prepared Ru/r-TiO<sub>2</sub> exhibited a superior HER performance over commercial Pt/C in alkaline media, only with a small overpotential of 15 mV required to deliver the benchmark current density of 10 mA cm<sup>-2</sup> and a high turnover frequency of 8.74 s<sup>-1</sup> at an overpotential of 100 mV. Density functional theory calculation indicates that high electrocatalytic activity of Ru/r-TiO<sub>2</sub> is originated from the promotion of water dissociation and weakening OH adsorption by reduced TiO<sub>2</sub>, which facilitates the conversion of water to H<sub>2</sub>. This work provides an efficient strategy for the design of high-performance HER catalysts.
DOI: 10.25582/data.2021-09.2322441/2286468
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-01.2417228/2286469
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2022-01.2417403/2286470
title: Data for EMSL Project 51834 from January 2022