cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20961172.v2
title: ANTROPOMETRIC INDECES AS POTENTIAL PREDICTORS OF CARDIOMETABOLIC RISK FACTORS IN COLLEGE STUDENTS.

description: At the PesqClin laboratory – Hospital Universitário Onofre Lopes/ UFRN, the appropriate structure was set up to carry out all the steps necessary for data collection, according to the procedures and instruments: application of anamnesis on the history of personal and family diseases, the body mass was measured using a Sanny® digital scale according to the standardization described by Gordon (GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), height was measured using a Sanny® stadiometer as standardized by Gordon(GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), the abdominal/waist circumference was measured following the procedure described by Costa (COSTA, 2001), using Sanny® anthropometric metal tape. BMI was calculated by dividing mass in kilograms by the square of height in meters. The ABSI was calculated according to the equation proposed by Krakauer and Krakauer (Krakauer & Krakauer, 2012). The BRI was calculated following the equation proposed by Thomas et al (Thomas et al., 2013) BRI=364.2−365.5× 1−(WC/(2π))2/(0.5Height)2. WHtR was determined by dividing waist circumference (cm) by height (cm)(Pitanga & Lessa, 2006). <pre><code> Blood pressure was measured with a semiautomatic device (OMRON – HEM 705 CP) following the criteria of the VI Brazilian Guidelines on Arterial Hypertension (2010), the final result being considered the average of three measurements performed with an interval of two minutes between each one.</code></pre> <pre><code> To standardize the biochemical evaluation, 10 ml blood samples were collected by puncture of the antecubital vein, always performed by the same professional, always between 7:00 and 8:00 am, after fasting for 12 hours. After peripheral blood collection, serum concentrations of fasting glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol and triglycerides were determined.</code></pre> <pre><code> All dosages mentioned above were performed by enzymatic-colorimetric assays for "in vitro" diagnoses, specific for each dosage, considering the cut-off values according to the NCEP-ATP III diagnostic criteria (Expert Panel on Detection, Evaluation, 2001) for metabolic syndrome, triglycerides ≥150mg/dl, HDL (male) &lt; 40mg/dl and HDL (female) &lt; 50mg/dl, fasting glucose ≥100mg/dl.</code></pre> <pre><code> For the analysis of dosages, commercial kits Labtest Diagnóstica-SA® were used, in the Labmax Plenno equipment (Labtest®, Lagoa Santa/MG) and for the determination of LDL-cholesterol levels, the Martin formula was used (Martin et al., 2013) (total cholesterol – HDL-cholesterol - [triglycerides/factor]) (factor/;3.1 to 11.9). </code></pre>
DOI: 10.6084/m9.figshare.20961448
title: ANTROPOMETRIC INDECES AS POTENTIAL PREDICTORS OF CARDIOMETABOLIC RISK FACTORS IN COLLEGE STUDENTS.

description: At the PesqClin laboratory – Hospital Universitário Onofre Lopes/ UFRN, the appropriate structure was set up to carry out all the steps necessary for data collection, according to the procedures and instruments: application of anamnesis on the history of personal and family diseases, the body mass was measured using a Sanny® digital scale according to the standardization described by Gordon (GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), height was measured using a Sanny® stadiometer as standardized by Gordon(GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), the abdominal/waist circumference was measured following the procedure described by Costa (COSTA, 2001), using Sanny® anthropometric metal tape. BMI was calculated by dividing mass in kilograms by the square of height in meters. The ABSI was calculated according to the equation proposed by Krakauer and Krakauer (Krakauer & Krakauer, 2012). The BRI was calculated following the equation proposed by Thomas et al (Thomas et al., 2013) BRI=364.2−365.5× 1−(WC/(2π))2/(0.5Height)2. WHtR was determined by dividing waist circumference (cm) by height (cm)(Pitanga & Lessa, 2006). <pre><code> Blood pressure was measured with a semiautomatic device (OMRON – HEM 705 CP) following the criteria of the VI Brazilian Guidelines on Arterial Hypertension (2010), the final result being considered the average of three measurements performed with an interval of two minutes between each one.</code></pre> <pre><code> To standardize the biochemical evaluation, 10 ml blood samples were collected by puncture of the antecubital vein, always performed by the same professional, always between 7:00 and 8:00 am, after fasting for 12 hours. After peripheral blood collection, serum concentrations of fasting glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol and triglycerides were determined.</code></pre> <pre><code> All dosages mentioned above were performed by enzymatic-colorimetric assays for "in vitro" diagnoses, specific for each dosage, considering the cut-off values according to the NCEP-ATP III diagnostic criteria (Expert Panel on Detection, Evaluation, 2001) for metabolic syndrome, triglycerides ≥150mg/dl, HDL (male) &lt; 40mg/dl and HDL (female) &lt; 50mg/dl, fasting glucose ≥100mg/dl.</code></pre> <pre><code> For the analysis of dosages, commercial kits Labtest Diagnóstica-SA® were used, in the Labmax Plenno equipment (Labtest®, Lagoa Santa/MG) and for the determination of LDL-cholesterol levels, the Martin formula was used (Martin et al., 2013) (total cholesterol – HDL-cholesterol - [triglycerides/factor]) (factor/;3.1 to 11.9). </code></pre>
DOI: 10.6084/m9.figshare.20961448.v1
title: ANTROPOMETRIC INDECES AS POTENTIAL PREDICTORS OF CARDIOMETABOLIC RISK FACTORS IN COLLEGE STUDENTS.

description: At the PesqClin laboratory – Hospital Universitário Onofre Lopes/ UFRN, the appropriate structure was set up to carry out all the steps necessary for data collection, according to the procedures and instruments: application of anamnesis on the history of personal and family diseases, the body mass was measured using a Sanny® digital scale according to the standardization described by Gordon (GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), height was measured using a Sanny® stadiometer as standardized by Gordon(GORDON, C. C.; CHUMLEA, W. C.; ROCHE, A. F. Stature recumbert, lenght, and weight. In: LOHMAN, T. G.;ROCHE, A. F., 1988), the abdominal/waist circumference was measured following the procedure described by Costa (COSTA, 2001), using Sanny® anthropometric metal tape. BMI was calculated by dividing mass in kilograms by the square of height in meters. The ABSI was calculated according to the equation proposed by Krakauer and Krakauer (Krakauer & Krakauer, 2012). The BRI was calculated following the equation proposed by Thomas et al (Thomas et al., 2013) BRI=364.2−365.5× 1−(WC/(2π))2/(0.5Height)2. WHtR was determined by dividing waist circumference (cm) by height (cm)(Pitanga & Lessa, 2006). <pre><code> Blood pressure was measured with a semiautomatic device (OMRON – HEM 705 CP) following the criteria of the VI Brazilian Guidelines on Arterial Hypertension (2010), the final result being considered the average of three measurements performed with an interval of two minutes between each one.</code></pre> <pre><code> To standardize the biochemical evaluation, 10 ml blood samples were collected by puncture of the antecubital vein, always performed by the same professional, always between 7:00 and 8:00 am, after fasting for 12 hours. After peripheral blood collection, serum concentrations of fasting glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol and triglycerides were determined.</code></pre> <pre><code> All dosages mentioned above were performed by enzymatic-colorimetric assays for "in vitro" diagnoses, specific for each dosage, considering the cut-off values according to the NCEP-ATP III diagnostic criteria (Expert Panel on Detection, Evaluation, 2001) for metabolic syndrome, triglycerides ≥150mg/dl, HDL (male) &lt; 40mg/dl and HDL (female) &lt; 50mg/dl, fasting glucose ≥100mg/dl.</code></pre> <pre><code> For the analysis of dosages, commercial kits Labtest Diagnóstica-SA® were used, in the Labmax Plenno equipment (Labtest®, Lagoa Santa/MG) and for the determination of LDL-cholesterol levels, the Martin formula was used (Martin et al., 2013) (total cholesterol – HDL-cholesterol - [triglycerides/factor]) (factor/;3.1 to 11.9). </code></pre>
DOI: 10.5281/zenodo.6965404
title: Preliminary experiment for inject-and-diffuse approach in BITS

description: Preliminary experiment for inject-and-diffuse approach in BITS Data collection: Dec 23, 2021 NCI experimental hutch at PAL-XFEL Dataset: Filtered images by Cheetah program.
DOI: 10.5281/zenodo.6965403
title: Preliminary experiment for inject-and-diffuse approach in BITS

description: Preliminary experiment for inject-and-diffuse approach in BITS Data collection: Dec 23, 2021 NCI experimental hutch at PAL-XFEL Dataset: Filtered images by Cheetah program.
DOI: 10.34740/kaggle/dsv/4166057
title: Russian Invasion of Ukraine
DOI: 10.6084/m9.figshare.20961640
title: Combined multi-ethnic genome-wide association studies of 136 quantitative ear morphology traits identify 16 loci with 8 novel ones

description: File "SupplementalData.txt" includes rsid, chromosome, basepair position (GRCh37), C-GWAS P, MinGWAS P, the phenotype with which the minimal P was obtained, the beta correspondent the minimal P, and uncorrected minimal P. RawData includes raw summary statistics (beta and p-value) for 136 meta-analysis of ear morphology (The file name is the phenotype name). The order of the SNPS corresponds to the order of the "SupplementalData.txt" file. <br>
DOI: 10.6084/m9.figshare.20961640.v1
title: Combined multi-ethnic genome-wide association studies of 136 quantitative ear morphology traits identify 16 loci with 8 novel ones

description: File "SupplementalData.txt" includes rsid, chromosome, basepair position (GRCh37), C-GWAS P, MinGWAS P, the phenotype with which the minimal P was obtained, the beta correspondent the minimal P, and uncorrected minimal P. RawData includes raw summary statistics (beta and p-value) for 136 meta-analysis of ear morphology (The file name is the phenotype name). The order of the SNPS corresponds to the order of the "SupplementalData.txt" file. <br>
DOI: 10.6073/pasta/80dca1900cbfe833f4a0282a5d2c9e3e
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP P-SMAL met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP P-SMAL site.. This climate station is operated by the Jornada LTER Program. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437026, knb-lter-jrn.210437041, and knb-lter-jrn.210437056 for the NPP P-SMAL met station 30 minute, hourly, and daily summary datasets, respectively. This is an ONGOING dataset.
DOI: 10.6073/pasta/a9cec671c102d089cb2fa0fbc74916fa
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP P-SMAL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6073/pasta/df50a8bf362acba436f3753926e6686b
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP P-SMAL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.20962281.v1
title: Additional file 1 of Safety of beta-blocker and calcium channel blocker antihypertensive drugs in pregnancy: a Mendelian randomization study

description: Additional file 1: Table S1. Instrumental variables for systolic blood pressure. Table S2. Mendelian randomization results. Table S3. Colocalization results. Table S4. Mendelian randomization results in analyses considering females only. Table S5. Colocalization results in analyses considering females only. Table S6. Mendelian randomization results in analyses considering diastolic blood pressure in females only. Table S7. Colocalization results in analyses considering diastolic blood pressure in females only. Table S8. Colocalization results considering alternative priors. Table S9. MR-Egger results. Table S10. Weighted median results. Table S11. MR-PRESSO results. Table S12. Instrumental variables selected at the ADRB1 locus. Table S13. Instrumental variables selected at the CACNA1C locus. Table S14. Instrumental variables selected at the CACNA1D locus. Table S15. Instrumental variables selected at the CACNB2 locus. Table S16. Instrumental variables selected at the CACNB3 locus. Table S17. Instrumental variables selected at all calcium channel blocker gene regions.
DOI: 10.6084/m9.figshare.20962281
title: Additional file 1 of Safety of beta-blocker and calcium channel blocker antihypertensive drugs in pregnancy: a Mendelian randomization study

description: Additional file 1: Table S1. Instrumental variables for systolic blood pressure. Table S2. Mendelian randomization results. Table S3. Colocalization results. Table S4. Mendelian randomization results in analyses considering females only. Table S5. Colocalization results in analyses considering females only. Table S6. Mendelian randomization results in analyses considering diastolic blood pressure in females only. Table S7. Colocalization results in analyses considering diastolic blood pressure in females only. Table S8. Colocalization results considering alternative priors. Table S9. MR-Egger results. Table S10. Weighted median results. Table S11. MR-PRESSO results. Table S12. Instrumental variables selected at the ADRB1 locus. Table S13. Instrumental variables selected at the CACNA1C locus. Table S14. Instrumental variables selected at the CACNA1D locus. Table S15. Instrumental variables selected at the CACNB2 locus. Table S16. Instrumental variables selected at the CACNB3 locus. Table S17. Instrumental variables selected at all calcium channel blocker gene regions.
DOI: 10.6084/m9.figshare.20962294.v1
title: Additional file 5 of Systematic reviews are rarely used to contextualise new results—a systematic review and meta-analysis of meta-research studies

description: Additional file 5. Results of data extraction.
DOI: 10.6084/m9.figshare.20962294
title: Additional file 5 of Systematic reviews are rarely used to contextualise new results—a systematic review and meta-analysis of meta-research studies

description: Additional file 5. Results of data extraction.
DOI: 10.6084/m9.figshare.20962309
title: Additional file 1 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 1: General description of the input networks and inferred modules.
DOI: 10.6084/m9.figshare.20962309.v1
title: Additional file 1 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 1: General description of the input networks and inferred modules.
DOI: 10.6084/m9.figshare.20962312
title: Additional file 2 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 2: Analysis of weakly characterized genes.
DOI: 10.6084/m9.figshare.20962312.v1
title: Additional file 2 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 2: Analysis of weakly characterized genes.
DOI: 10.6084/m9.figshare.20962315
title: Additional file 3 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 3: GO term based module analysis.
DOI: 10.6084/m9.figshare.20962315.v1
title: Additional file 3 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 3: GO term based module analysis.
DOI: 10.6084/m9.figshare.20962318
title: Additional file 4 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 4: Activity based module analysis.
DOI: 10.6084/m9.figshare.20962318.v1
title: Additional file 4 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 4: Activity based module analysis.
DOI: 10.6084/m9.figshare.20962321
title: Additional file 5 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 5: Abbreviations of gene names.
DOI: 10.6084/m9.figshare.20962321.v1
title: Additional file 5 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 5: Abbreviations of gene names.
DOI: 10.6084/m9.figshare.20962330
title: Additional file 8 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 8: Comparsion of SUBATOMIC with other methods.
DOI: 10.6084/m9.figshare.20962330.v1
title: Additional file 8 of SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

description: Additional file 8: Comparsion of SUBATOMIC with other methods.
DOI: 10.6084/m9.figshare.20962356
title: Additional file 2 of Protein profiling of testicular tissue from boars with different levels of hyperactive sperm motility

description: Additional file 2. Peptides and proteins identified in the samples of this study. The data analysis revealed that 66,366 unique peptides (Table X1), which were assembled into 6362 proteins (Table X2), were identified.
DOI: 10.6084/m9.figshare.20962356.v1
title: Additional file 2 of Protein profiling of testicular tissue from boars with different levels of hyperactive sperm motility

description: Additional file 2. Peptides and proteins identified in the samples of this study. The data analysis revealed that 66,366 unique peptides (Table X1), which were assembled into 6362 proteins (Table X2), were identified.
DOI: 10.6084/m9.figshare.20962362
title: Additional file 3 of Protein profiling of testicular tissue from boars with different levels of hyperactive sperm motility

description: Additional file 3. Differentially expressed proteins for contrast (i) high versus low hyperactivity at collection. Results presented as analyzed by Perseus (Table X1) and as analyzed by DEP (Table X2) presented with UniProt ID, protein name, q-value, log2 fold change and corresponding gene name.
DOI: 10.6084/m9.figshare.20962362.v1
title: Additional file 3 of Protein profiling of testicular tissue from boars with different levels of hyperactive sperm motility

description: Additional file 3. Differentially expressed proteins for contrast (i) high versus low hyperactivity at collection. Results presented as analyzed by Perseus (Table X1) and as analyzed by DEP (Table X2) presented with UniProt ID, protein name, q-value, log2 fold change and corresponding gene name.
DOI: 10.6084/m9.figshare.20962365
title: Additional file 4 of Protein profiling of testicular tissue from boars with different levels of hyperactive sperm motility

description: Additional file 4. Differentially expressed proteins for contrast (ii) high versus low change in levels of hyperactivity after 96 h storage. Results as analyzed by Perseus (Table X1) and as analyzed by DEP (Table X2) presented with UniProt ID, protein name, q-value, log2 fold change and corresponding gene name.
DOI: 10.6084/m9.figshare.20962365.v1
title: Additional file 4 of Protein profiling of testicular tissue from boars with different levels of hyperactive sperm motility

description: Additional file 4. Differentially expressed proteins for contrast (ii) high versus low change in levels of hyperactivity after 96 h storage. Results as analyzed by Perseus (Table X1) and as analyzed by DEP (Table X2) presented with UniProt ID, protein name, q-value, log2 fold change and corresponding gene name.
DOI: 10.6084/m9.figshare.20962386
title: Additional file 2 of DMRscaler: a scale-aware method to identify regions of differential DNA methylation spanning basepair to multi-megabase features

description: Additional file 2. Table S2: Differential sex analysis DMRs.
DOI: 10.6084/m9.figshare.20962386.v1
title: Additional file 2 of DMRscaler: a scale-aware method to identify regions of differential DNA methylation spanning basepair to multi-megabase features

description: Additional file 2. Table S2: Differential sex analysis DMRs.
DOI: 10.6084/m9.figshare.20962389
title: Additional file 3 of DMRscaler: a scale-aware method to identify regions of differential DNA methylation spanning basepair to multi-megabase features

description: Additional file 3. Table S3: Arboleda-Tham syndrome DMRs
DOI: 10.6084/m9.figshare.20962389.v1
title: Additional file 3 of DMRscaler: a scale-aware method to identify regions of differential DNA methylation spanning basepair to multi-megabase features

description: Additional file 3. Table S3: Arboleda-Tham syndrome DMRs
DOI: 10.6084/m9.figshare.20962392
title: Additional file 4 of DMRscaler: a scale-aware method to identify regions of differential DNA methylation spanning basepair to multi-megabase features

description: Additional file 4. Table S4: Weaver syndrome DMRs
DOI: 10.6084/m9.figshare.20962392.v1
title: Additional file 4 of DMRscaler: a scale-aware method to identify regions of differential DNA methylation spanning basepair to multi-megabase features

description: Additional file 4. Table S4: Weaver syndrome DMRs
DOI: 10.6084/m9.figshare.20962395
title: Additional file 5 of DMRscaler: a scale-aware method to identify regions of differential DNA methylation spanning basepair to multi-megabase features

description: Additional file 5. Table S5: Sotos syndrome DMRs
DOI: 10.6084/m9.figshare.20962395.v1
title: Additional file 5 of DMRscaler: a scale-aware method to identify regions of differential DNA methylation spanning basepair to multi-megabase features

description: Additional file 5. Table S5: Sotos syndrome DMRs