cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14926835.v1
title: Additional file 9 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity

description: Additional file 9. Differentially expressed genes of all NK cells subclusters.
DOI: 10.6084/m9.figshare.14926835
title: Additional file 9 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity

description: Additional file 9. Differentially expressed genes of all NK cells subclusters.
DOI: 10.6084/m9.figshare.14926837.v1
title: Additional file 9 of Eye-tracking support for architects, conservators, and museologists. Anastylosis as pretext for research and discussion

description: Additional file 9. List of participants including sex and age.
DOI: 10.6084/m9.figshare.14926837
title: Additional file 9 of Eye-tracking support for architects, conservators, and museologists. Anastylosis as pretext for research and discussion

description: Additional file 9. List of participants including sex and age.
DOI: 10.6084/m9.figshare.14926844
title: Additional file 2 of Carbonate clumped isotope thermometry of fault rocks and its possibilities: tectonic implications from calcites within Himalayan Frontal Fold-Thrust Belt

description: Additional file 2: Table 1S. GPS location (WGS84) and type of the calcite samples.
DOI: 10.6084/m9.figshare.14926844.v1
title: Additional file 2 of Carbonate clumped isotope thermometry of fault rocks and its possibilities: tectonic implications from calcites within Himalayan Frontal Fold-Thrust Belt

description: Additional file 2: Table 1S. GPS location (WGS84) and type of the calcite samples.
DOI: 10.6084/m9.figshare.14926850
title: Additional file 4 of Carbonate clumped isotope thermometry of fault rocks and its possibilities: tectonic implications from calcites within Himalayan Frontal Fold-Thrust Belt

description: Additional file 4: Table 3S. Thermal history data of the analyzed calcite samples.
DOI: 10.6084/m9.figshare.14926850.v1
title: Additional file 4 of Carbonate clumped isotope thermometry of fault rocks and its possibilities: tectonic implications from calcites within Himalayan Frontal Fold-Thrust Belt

description: Additional file 4: Table 3S. Thermal history data of the analyzed calcite samples.
DOI: 10.6084/m9.figshare.14926847
title: Additional file 3 of Carbonate clumped isotope thermometry of fault rocks and its possibilities: tectonic implications from calcites within Himalayan Frontal Fold-Thrust Belt

description: Additional file 3: Table 2S. Raw data of Δ47 thermometry.
DOI: 10.6084/m9.figshare.14926874
title: Additional file 1 of Seasonal migratory patterns of Pacific cod (Gadus macrocephalus) in the Aleutian Islands

description: Additional file 1. Information on the length, tag type, release date, and release location for all tagged Pacific cod , as well as the pop-up date, reason for early pop-up (FIS = caught by commercial fisher, MML = marine mammal predation, UNK = unknown), location, days at liberty, distance between release and pop-up, and number of transmissions from MiniPATs.
DOI: 10.6084/m9.figshare.14926874.v1
title: Additional file 1 of Seasonal migratory patterns of Pacific cod (Gadus macrocephalus) in the Aleutian Islands

description: Additional file 1. Information on the length, tag type, release date, and release location for all tagged Pacific cod , as well as the pop-up date, reason for early pop-up (FIS = caught by commercial fisher, MML = marine mammal predation, UNK = unknown), location, days at liberty, distance between release and pop-up, and number of transmissions from MiniPATs.
DOI: 10.6084/m9.figshare.14926946.v1
title: Additional file 1 of Prevalence of methicillin-resistant Staphylococcus aureus and pattern of antimicrobial resistance in mastitis milk of cattle in Chitwan, Nepal

description: Additional file 1 Resistance profile of S. aureus isolates. Based on antibiotic susceptibility test of S. aureus against commonly used antibiotics, resistance profile of each isolates were determined. Altogether 23 different resistance profiles of isolates were determined.
DOI: 10.6084/m9.figshare.14926946
title: Additional file 1 of Prevalence of methicillin-resistant Staphylococcus aureus and pattern of antimicrobial resistance in mastitis milk of cattle in Chitwan, Nepal

description: Additional file 1 Resistance profile of S. aureus isolates. Based on antibiotic susceptibility test of S. aureus against commonly used antibiotics, resistance profile of each isolates were determined. Altogether 23 different resistance profiles of isolates were determined.
DOI: 10.6084/m9.figshare.14926949
title: Additional file 2 of Prevalence of methicillin-resistant Staphylococcus aureus and pattern of antimicrobial resistance in mastitis milk of cattle in Chitwan, Nepal

description: Additional file 2. Resistance profile of CoNS isolates. Based on antibiotic susceptibility test of CoNS against commonly used antibiotics, resistance profile of each isolates were determined. Altogether, 25 different resistance profiles of isolates were determined.
DOI: 10.6084/m9.figshare.14926949.v1
title: Additional file 2 of Prevalence of methicillin-resistant Staphylococcus aureus and pattern of antimicrobial resistance in mastitis milk of cattle in Chitwan, Nepal

description: Additional file 2. Resistance profile of CoNS isolates. Based on antibiotic susceptibility test of CoNS against commonly used antibiotics, resistance profile of each isolates were determined. Altogether, 25 different resistance profiles of isolates were determined.
DOI: 10.6084/m9.figshare.14926984
title: Additional file 2 of Descriptive epidemiological study of rare, less common and common cancers in Western Australia

description: Additional file 2: Supplementary Appendix 2. Incidence and five-year survival for cancers in Western Australia. List of rare, less common and common cancers, including incidence and five-year survival estimates, for Western Australia.
DOI: 10.6084/m9.figshare.14926984.v1
title: Additional file 2 of Descriptive epidemiological study of rare, less common and common cancers in Western Australia

description: Additional file 2: Supplementary Appendix 2. Incidence and five-year survival for cancers in Western Australia. List of rare, less common and common cancers, including incidence and five-year survival estimates, for Western Australia.
DOI: 10.6084/m9.figshare.14926967
title: Additional file 1 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 1.
DOI: 10.6084/m9.figshare.14926967.v1
title: Additional file 1 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 1.
DOI: 10.6084/m9.figshare.14926970.v1
title: Additional file 2 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 2.
DOI: 10.6084/m9.figshare.14926970
title: Additional file 2 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 2.
DOI: 10.6084/m9.figshare.14926973
title: Additional file 3 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 3.
DOI: 10.6084/m9.figshare.14926979
title: Additional file 5 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 5.
DOI: 10.6084/m9.figshare.14926973.v1
title: Additional file 3 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 3.
DOI: 10.6084/m9.figshare.14926976
title: Additional file 4 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 4.
DOI: 10.6084/m9.figshare.14926976.v1
title: Additional file 4 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 4.
DOI: 10.6084/m9.figshare.14926979.v1
title: Additional file 5 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 5.
DOI: 10.6084/m9.figshare.14926985
title: Additional file 6 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 6.
DOI: 10.6084/m9.figshare.14926985.v1
title: Additional file 6 of Selection of functional EPHB2 genotypes from ENU mutated grass carp treated with GCRV

description: Additional file 6.
DOI: 10.6084/m9.figshare.14927021.v1
title: Additional file 2 of Loss of RANBP3L leads to transformation of renal epithelial cells towards a renal clear cell carcinoma like phenotype

description: Additional file 2: Table S1. AS sequence of RANBP3L and RNA seq data from murine IMCD cells at 300 and 600 mosmol/kg
DOI: 10.6084/m9.figshare.14927024.v1
title: Additional file 3 of Loss of RANBP3L leads to transformation of renal epithelial cells towards a renal clear cell carcinoma like phenotype

description: Additional file 3: Table S2. CRISPR Cas 9 target sites and TOPO TA results for NFAT5 Knockout cells and mouse NFAT5-KO RNA-Seq at 300 and 600 mosmol/kg
DOI: 10.6084/m9.figshare.14927027
title: Additional file 4 of Loss of RANBP3L leads to transformation of renal epithelial cells towards a renal clear cell carcinoma like phenotype

description: Additional file 4: Table S3. CRISPR Cas 9 target sites and TOPO TA results for RANBP3L Knockout cells, prognostic RCC genes from Human Protein Atlas and TCGA RCC data sets
DOI: 10.6084/m9.figshare.14927021
title: Additional file 2 of Loss of RANBP3L leads to transformation of renal epithelial cells towards a renal clear cell carcinoma like phenotype

description: Additional file 2: Table S1. AS sequence of RANBP3L and RNA seq data from murine IMCD cells at 300 and 600 mosmol/kg
DOI: 10.6084/m9.figshare.14927024
title: Additional file 3 of Loss of RANBP3L leads to transformation of renal epithelial cells towards a renal clear cell carcinoma like phenotype

description: Additional file 3: Table S2. CRISPR Cas 9 target sites and TOPO TA results for NFAT5 Knockout cells and mouse NFAT5-KO RNA-Seq at 300 and 600 mosmol/kg
DOI: 10.6084/m9.figshare.14927027.v1
title: Additional file 4 of Loss of RANBP3L leads to transformation of renal epithelial cells towards a renal clear cell carcinoma like phenotype

description: Additional file 4: Table S3. CRISPR Cas 9 target sites and TOPO TA results for RANBP3L Knockout cells, prognostic RCC genes from Human Protein Atlas and TCGA RCC data sets
DOI: 10.6084/m9.figshare.14927030
title: Additional file 5 of Loss of RANBP3L leads to transformation of renal epithelial cells towards a renal clear cell carcinoma like phenotype

description: Additional file 5: Table S4. Complete primer list.
DOI: 10.6084/m9.figshare.14927030.v1
title: Additional file 5 of Loss of RANBP3L leads to transformation of renal epithelial cells towards a renal clear cell carcinoma like phenotype

description: Additional file 5: Table S4. Complete primer list.
DOI: 10.6084/m9.figshare.14927044
title: Additional file 1 of Restorative reproductive medicine for infertility in two family medicine clinics in New England, an observational study

description: Additional file 1.
DOI: 10.6084/m9.figshare.14927044.v1
title: Additional file 1 of Restorative reproductive medicine for infertility in two family medicine clinics in New England, an observational study

description: Additional file 1.
DOI: 10.6084/m9.figshare.14927089
title: Additional file 1 of Differences in expression of genes related to steroidgenesis in abdominal subcutaneous adipose tissue of pregnant women with and without PCOS; a case control study

description: Additional file 1. Gene expression data
DOI: 10.6084/m9.figshare.14927089.v1
title: Additional file 1 of Differences in expression of genes related to steroidgenesis in abdominal subcutaneous adipose tissue of pregnant women with and without PCOS; a case control study

description: Additional file 1. Gene expression data
DOI: 10.6084/m9.figshare.14927194.v1
title: Additional file 1 of Integration of tumor inflammation, cell proliferation, and traditional biomarkers improves prediction of immunotherapy resistance and response

description: Additional file 1: Fig. S1. Gene expression rank calculation workflow. Fig. S2. Tumor immunogenic signature discovery workflow. Fig. S3. Effects of TIGS category, tumor type, sex, age, TMB status, and PD-L1 IHC on survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S4. Effects of TIGS category, sex, age, TMB status, and PD-L1 IHC on melanoma survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S5. Effects of TIGS category, sex, age, TMB status, and PD-L1 IHC on lung cancer (NSCLC) survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S6. Effects of TIGS category, sex, age, TMB status, and PD-L1 IHC on kidney cancer (RCC) survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S7. Clinical response rates in the retrospective cohort for each TIGS subgroup when used in combination with TMB and PD-L1 IHC. Fig. S8. Effects of TIGS used in combination with cell proliferation category, sex, age, TMB status, and PD-L1 IHC on survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S9. Retrospective cohort combining TIGS and cell proliferation to determine survival in melanoma. Fig. S10. Retrospective cohort combining TIGS and cell proliferation to determine survival in NSCLC. Fig. S11. Retrospective cohort combining TIGS and cell proliferation to determine survival in RCC.
DOI: 10.6084/m9.figshare.14927194
title: Additional file 1 of Integration of tumor inflammation, cell proliferation, and traditional biomarkers improves prediction of immunotherapy resistance and response

description: Additional file 1: Fig. S1. Gene expression rank calculation workflow. Fig. S2. Tumor immunogenic signature discovery workflow. Fig. S3. Effects of TIGS category, tumor type, sex, age, TMB status, and PD-L1 IHC on survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S4. Effects of TIGS category, sex, age, TMB status, and PD-L1 IHC on melanoma survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S5. Effects of TIGS category, sex, age, TMB status, and PD-L1 IHC on lung cancer (NSCLC) survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S6. Effects of TIGS category, sex, age, TMB status, and PD-L1 IHC on kidney cancer (RCC) survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S7. Clinical response rates in the retrospective cohort for each TIGS subgroup when used in combination with TMB and PD-L1 IHC. Fig. S8. Effects of TIGS used in combination with cell proliferation category, sex, age, TMB status, and PD-L1 IHC on survival in retrospective cohort, as determined by multivariate Cox proportional hazard model analysis. Fig. S9. Retrospective cohort combining TIGS and cell proliferation to determine survival in melanoma. Fig. S10. Retrospective cohort combining TIGS and cell proliferation to determine survival in NSCLC. Fig. S11. Retrospective cohort combining TIGS and cell proliferation to determine survival in RCC.
DOI: 10.6084/m9.figshare.14927197
title: Additional file 2 of Integration of tumor inflammation, cell proliferation, and traditional biomarkers improves prediction of immunotherapy resistance and response

description: Additional file 2: Table S1. Discovery cohort histological, PD-L1, TMB and TIGS data. Table S2. Panther analysis of gene pathways in TIGS cluster. Table S3. Pathway analysis of gene pathways in immune and other neoplasm cluster. Table S4. Objective response rates for TIGS groups in retrospective cohort for each disease type. Table S5. Aggregate survival data for retrospective cohort. Table S6. Median survival for combined TIGS and Cell Proliferation groups. Table S7. Pairwise comparison p-values for survival of retrospective cohort when grouped by TIGS and cell proliferation. Table S8. Objective response rates for a subpopulation of PD-L1 – and TMB low (n = 26) of the NSCLC retrospective cohort for three TIGS groups. Table S9. Objective response rates for retrospective cohort subdivided by PD-L1 status, TMB status, cell proliferation classification, and TIGS. Table S10. Sequencing coverage and quality statistics for discovery cohort. Table S11. Sequencing coverage and quality statistics for retrospective cohort.
DOI: 10.6084/m9.figshare.14927197.v1
title: Additional file 2 of Integration of tumor inflammation, cell proliferation, and traditional biomarkers improves prediction of immunotherapy resistance and response

description: Additional file 2: Table S1. Discovery cohort histological, PD-L1, TMB and TIGS data. Table S2. Panther analysis of gene pathways in TIGS cluster. Table S3. Pathway analysis of gene pathways in immune and other neoplasm cluster. Table S4. Objective response rates for TIGS groups in retrospective cohort for each disease type. Table S5. Aggregate survival data for retrospective cohort. Table S6. Median survival for combined TIGS and Cell Proliferation groups. Table S7. Pairwise comparison p-values for survival of retrospective cohort when grouped by TIGS and cell proliferation. Table S8. Objective response rates for a subpopulation of PD-L1 – and TMB low (n = 26) of the NSCLC retrospective cohort for three TIGS groups. Table S9. Objective response rates for retrospective cohort subdivided by PD-L1 status, TMB status, cell proliferation classification, and TIGS. Table S10. Sequencing coverage and quality statistics for discovery cohort. Table S11. Sequencing coverage and quality statistics for retrospective cohort.
DOI: 10.6084/m9.figshare.14926728
title: Figure 5. Longevity of serum SARS-CoV-2 spike IgG.

description: The amount of spike antigen-specific IgG was measured based on the ELISA OD (Y-axis) over time (X-axis). Time point 1 = baseline, time point 2 = 6 weeks to 5 months, time point 3 = 7 months. Each different color symbol/line represents the mean of replicate data from a single time point for a single subject. The mean OD at time point 2 is not significantly different (<i>p</i> &gt; 0.05) from time point 1.
DOI: 10.6084/m9.figshare.14926719.v1
title: Fig 3. Geolocation of SARS-CoV-2 IgG+ subjects according to latitude and longitude of zip code.

description: The number of SARS-CoV-2 IgG+ subjects per zip code was mapped based on home zip code. Note highlighted hot spots (*) along the major (I-95 and I-91) interstate highways, Stamford, the town just north of NYC, Bristol, Bridgeport, Waterbury, and the north-central part of the state near the Hartford-Springfield International Airport.
DOI: 10.6084/m9.figshare.14926719
title: Fig 3. Geolocation of SARS-CoV-2 IgG+ subjects according to latitude and longitude of zip code.

description: The number of SARS-CoV-2 IgG+ subjects per zip code was mapped based on home zip code. Note highlighted hot spots along the major interstate highways, Stamford, the town just north of NYC, Bristol, Bridgeport, Waterbury, and the north-central part of the state near the Hartford-Springfield International Airport.
DOI: 10.6084/m9.figshare.14926719.v3
title: Fig 3. Geolocation of SARS-CoV-2 IgG+ subjects according to latitude and longitude of zip code.

description: The number of SARS-CoV-2 IgG+ subjects per zip code was mapped based on home zip code. Note highlighted hot spots along the major interstate highways, Stamford, the town just north of NYC, Bristol, Bridgeport, Waterbury, and the north-central part of the state near the Hartford-Springfield International Airport.
DOI: 10.6084/m9.figshare.14926719.v2
title: Fig 3. Geolocation of SARS-CoV-2 IgG+ subjects according to latitude and longitude of zip code.

description: The number of SARS-CoV-2 IgG+ subjects per zip code was mapped based on home zip code. Note highlighted hot spots along the major interstate highways, Stamford, the town just north of NYC, Bristol, Bridgeport, Waterbury, and the north-central part of the state near the Hartford-Springfield International Airport.
DOI: 10.6084/m9.figshare.14927253
title: Figure 4. Neutralizing capacity of serum from individuals with mild/asymptomatic COVID-19, not requiring hospitalization.

description: (A) Serum was titrated in a live viral plaque assay to measure neutralization capacity (% inhibition of plaque formation) expressed on the Y axis vs. serum concentration (X-axis). Different color line/symbol represents data from a single subject with ID# shown in key in upper right, and negative control (blue triangles). (B) Correlation between the IC<sub>50</sub> (Y-axis) and the spike IgG ELISA OD values (X-axis). Each symbol represents the average of replicate data points from a single individual in key above. r<sup>2</sup>=.567 for the best fit trend line, log(y) = .495x + 0.991. (C) Comparison of serum neutralizing activity, IC<sub>50</sub> (Y-axis) of the present National Guard troops (NG) vs. hospitalized study subjects recently published. Each symbol represents data from a single subject’s serum titration. The mean and standard error for the different groups of study subjects is shown.
DOI: 10.6084/m9.figshare.14927253.v1
title: Figure 4. Neutralizing capacity of serum from individuals with mild/asymptomatic COVID-19, not requiring hospitalization.

description: (A) Serum was titrated in a live viral plaque assay to measure neutralization capacity (% inhibition of plaque formation) expressed on the Y axis vs. serum concentration (X-axis). Different color line/symbol represents data from a single subject with ID# shown in key in upper right, and negative control (blue triangles). (B) Correlation between the IC<sub>50</sub> (Y-axis) and the spike IgG ELISA OD values (X-axis). Each symbol represents the average of replicate data points from a single individual in key above. r<sup>2</sup>=.567 for the best fit trend line, log(y) = .495x + 0.991. (C) Comparison of serum neutralizing activity, IC<sub>50</sub> (Y-axis) of the present National Guard troops (NG) vs. hospitalized study subjects recently published. Each symbol represents data from a single subject’s serum titration. The mean and standard error for the different groups of study subjects is shown.
DOI: 10.6084/m9.figshare.14926695
title: LITS-Challenge-Data

description: LiTS challenge data
DOI: 10.5281/zenodo.5076705
title: NiCl2 as a Cheap and Efficient Precatalyst for the Coupling of Aryl Fluorosulfonate and Phosphite/Phosphine Oxide

description: conclusions, We have developed a nickel-catalyzed coupling of aryl fluorosulfonates and phosphine oxides/phosphites. The using of NiCl<sub>2</sub> as a cheap pre-catalyst and avoidance of additives enable this transformation more practical. The tolerance of functional group is good, and the late-stage conversion of estrone is achieved.
DOI: 10.5281/zenodo.5076704
title: NiCl2 as a Cheap and Efficient Precatalyst for the Coupling of Aryl Fluorosulfonate and Phosphite/Phosphine Oxide

description: conclusions, We have developed a nickel-catalyzed coupling of aryl fluorosulfonates and phosphine oxides/phosphites. The using of NiCl<sub>2</sub> as a cheap pre-catalyst and avoidance of additives enable this transformation more practical. The tolerance of functional group is good, and the late-stage conversion of estrone is achieved.