cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26575976.v1
title: Additional file 2 of Exosomal MFI2-AS1 sponge miR-107 promotes non-small cell lung cancer progression through NFAT5

description: Additional file 2. miRDB.
DOI: 10.5281/zenodo.13324736
title: Snow Height Classification Dataset

description: Snow Height Classification dataset provides manually annotated snow height data that can be used for development and evaluation of automatic snow height classification approaches.

Main Dataset

A subset of 20 IMIS stations which span different locations and elevations and vary in underlying surface (e.g., vegetation, bare ground, glacier, etc.) were selected and manually annotated with binary two-class ground truth information regarding snow height data:



Class 0 - Snow - the surface is covered by snow

Class 1 - No Snow - the surface is snow-free (e.g., vegetation, soil, rocks, etc.)


Data has been annotated with the help of domain experts. It should be mentioned that annotating historical data is problematic, as there is no way of checking whether there really was snow at the station or not. This means that assessing the presence of snow with the help of information from other sensors should be considered a best effort approach.

Additional Data

Besides the annotated snow height data, the dataset also contains additional data which are relevant to reproduce results in presented together with the following software: https://doi.org/10.5281/zenodo.12698070

License

Any further use of the data has to comply with the CC BY-NC license: https://creativecommons.org/licenses/by-nc/4.0/


Funding Information:

This work was supported by:



Swiss Data Science Center (link) (Grant/Award: C21-15L)

WSL Institute for Snow and Avalanche Research SLF
DOI: 10.5281/zenodo.13324735
title: Snow Height Classification Dataset

description: Snow Height Classification dataset provides manually annotated snow height data that can be used for development and evaluation of automatic snow height classification approaches.

Main Dataset

A subset of 20 IMIS stations which span different locations and elevations and vary in underlying surface (e.g., vegetation, bare ground, glacier, etc.) were selected and manually annotated with binary two-class ground truth information regarding snow height data:



Class 0 - Snow - the surface is covered by snow

Class 1 - No Snow - the surface is snow-free (e.g., vegetation, soil, rocks, etc.)


Data has been annotated with the help of domain experts. It should be mentioned that annotating historical data is problematic, as there is no way of checking whether there really was snow at the station or not. This means that assessing the presence of snow with the help of information from other sensors should be considered a best effort approach.

Additional Data

Besides the annotated snow height data, the dataset also contains additional data which are relevant to reproduce results in presented together with the following software: https://doi.org/10.5281/zenodo.12698070

License

Any further use of the data has to comply with the CC BY-NC license: https://creativecommons.org/licenses/by-nc/4.0/


Funding Information:

This work was supported by:



Swiss Data Science Center (link) (Grant/Award: C21-15L)

WSL Institute for Snow and Avalanche Research SLF
DOI: 10.6084/m9.figshare.26616922
title: Additional file 5 of Deciphering a shared transcriptomic regulation and the relative contribution of each regulator type through endometrial gene expression signatures

description: Additional file 5: Supplementary Table S4. Results of TFs enrichment. Excel file with the over-representation analysis results of the transcription factors (TFs). Each sheet contains the results of a specific list of genes. In each sheet, the following information is included: ID, gene symbol of the TF; GeneRatio, the proportion of TF targets in the gene list; BgRatio, the proportion of TF targets in the whole genome; OddsRatio; the odd ratios for each TF, pvalue; the P-value obtained for each TF; padjust, P-value adjusted by FDR for each TF; geneID, the gene symbol ID of the TF targets.
DOI: 10.6084/m9.figshare.26616919
title: Additional file 4 of Deciphering a shared transcriptomic regulation and the relative contribution of each regulator type through endometrial gene expression signatures

description: Additional file 4: Supplementary Table S3. Results of miRNA enrichment. Excel file with the over-representation analysis results of the microRNAs (miRNAs). Each sheet contains the results of a specific list of genes. In each sheet, the following information is included: ID, gene symbol ID of the miRNA; GeneRatio, the proportion of miRNA targets in the gene list; BgRatio, the proportion of miRNA targets in the whole genome; OddsRatio; the odd ratios for each miRNA, pvalue; the P-value obtained for each miRNA; Padjust, P-value adjusted by FDR for each miRNA; geneID, gene symbol ID of the miRNA targets.
DOI: 10.6084/m9.figshare.26616922.v1
title: Additional file 5 of Deciphering a shared transcriptomic regulation and the relative contribution of each regulator type through endometrial gene expression signatures

description: Additional file 5: Supplementary Table S4. Results of TFs enrichment. Excel file with the over-representation analysis results of the transcription factors (TFs). Each sheet contains the results of a specific list of genes. In each sheet, the following information is included: ID, gene symbol of the TF; GeneRatio, the proportion of TF targets in the gene list; BgRatio, the proportion of TF targets in the whole genome; OddsRatio; the odd ratios for each TF, pvalue; the P-value obtained for each TF; padjust, P-value adjusted by FDR for each TF; geneID, the gene symbol ID of the TF targets.
DOI: 10.6084/m9.figshare.26616919.v1
title: Additional file 4 of Deciphering a shared transcriptomic regulation and the relative contribution of each regulator type through endometrial gene expression signatures

description: Additional file 4: Supplementary Table S3. Results of miRNA enrichment. Excel file with the over-representation analysis results of the microRNAs (miRNAs). Each sheet contains the results of a specific list of genes. In each sheet, the following information is included: ID, gene symbol ID of the miRNA; GeneRatio, the proportion of miRNA targets in the gene list; BgRatio, the proportion of miRNA targets in the whole genome; OddsRatio; the odd ratios for each miRNA, pvalue; the P-value obtained for each miRNA; Padjust, P-value adjusted by FDR for each miRNA; geneID, gene symbol ID of the miRNA targets.
DOI: 10.6084/m9.figshare.26576003.v1
title: Additional file 1 of PROTEOMAS: a workflow enabling harmonized proteomic meta-analysis and proteomic signature mapping

description: Additional file 1. Supplemental Table: Proteins and genes known to be regulated in lungs under inflammation conditions. It was built from 35 publications addressing explicitly this subject. The list includes 266 proteins and genes, as well as the citation to the original articles.
DOI: 10.6084/m9.figshare.26707334
title: Additional file 1 of Uterine infusion strategies for infertile patients with recurrent implantation failure: a systematic review and network meta-analysis

description: Additional file 1: Figure S1. Risk of bias assessment. a. Risk of bias summary; b. Risk of bias graph. Figure S2. Forest plot of the live birth in direct pair-wise meta-analysis. Figure S3. Network plots of eligible comparisons for secondary outcomes: clinical pregnancy rate. a. Live birth; b. Embryo implantation; c. Chemical pregnancy; d. Miscarriage. Figure S4. Forest plot of the embryo implantation in direct pair-wise meta-analysis. Figure S5. Forest plot of the chemical pregnancy in direct pair-wise meta-analysis. Figure S6. Forest plot of the miscarriage in direct pair-wise meta-analysis. Figure S7. Funnel plot of the pregnancy outcomes. Figure S8. Subgroup analysis of forest plot of the clinical pregnancy in the direct pair-wise meta-analysis by English researches. Figure S9. Subgroup analysis of forest plot of the clinical pregnancy in the direct pair-wise meta-analysis by Chinese researches. Supplemental Table S1. Characteristics of studies included in meta-analyses. Supplemental Table S2. Risk of bias assessment of the other prospective studies. Supplemental Table S3. Network meta-analysis for live birth comparing diverse uterine infusion strategies. Supplemental Table S4. Network meta-analysis for implantation comparing diverse uterine infusion strategies. Supplemental Table S5. Network meta-analysis for chemical pregnancy comparing diverse uterine infusion strategies. Supplemental Table S6. Network meta-analysis for miscarriage comparing diverse uterine infusion strategies. Supplemental Table S7. Subgroup analysis of network meta-analysis for clinical pregnancy by English researches. Supplemental Table S8. Subgroup analysis of network meta-analysis for clinical pregnancy by Chinese researches.
DOI: 10.6084/m9.figshare.26707334.v1
title: Additional file 1 of Uterine infusion strategies for infertile patients with recurrent implantation failure: a systematic review and network meta-analysis

description: Additional file 1: Figure S1. Risk of bias assessment. a. Risk of bias summary; b. Risk of bias graph. Figure S2. Forest plot of the live birth in direct pair-wise meta-analysis. Figure S3. Network plots of eligible comparisons for secondary outcomes: clinical pregnancy rate. a. Live birth; b. Embryo implantation; c. Chemical pregnancy; d. Miscarriage. Figure S4. Forest plot of the embryo implantation in direct pair-wise meta-analysis. Figure S5. Forest plot of the chemical pregnancy in direct pair-wise meta-analysis. Figure S6. Forest plot of the miscarriage in direct pair-wise meta-analysis. Figure S7. Funnel plot of the pregnancy outcomes. Figure S8. Subgroup analysis of forest plot of the clinical pregnancy in the direct pair-wise meta-analysis by English researches. Figure S9. Subgroup analysis of forest plot of the clinical pregnancy in the direct pair-wise meta-analysis by Chinese researches. Supplemental Table S1. Characteristics of studies included in meta-analyses. Supplemental Table S2. Risk of bias assessment of the other prospective studies. Supplemental Table S3. Network meta-analysis for live birth comparing diverse uterine infusion strategies. Supplemental Table S4. Network meta-analysis for implantation comparing diverse uterine infusion strategies. Supplemental Table S5. Network meta-analysis for chemical pregnancy comparing diverse uterine infusion strategies. Supplemental Table S6. Network meta-analysis for miscarriage comparing diverse uterine infusion strategies. Supplemental Table S7. Subgroup analysis of network meta-analysis for clinical pregnancy by English researches. Supplemental Table S8. Subgroup analysis of network meta-analysis for clinical pregnancy by Chinese researches.
DOI: 10.6084/m9.figshare.26616844
title: Additional file 1 of Acute-on-chronic liver failure alters linezolid pharmacokinetics in critically ill patients with continuous hemodialysis: an observational study

description: Additional file 1: Table S1. Linezolid Concentrations at Time Points.
DOI: 10.6084/m9.figshare.26616844.v1
title: Additional file 1 of Acute-on-chronic liver failure alters linezolid pharmacokinetics in critically ill patients with continuous hemodialysis: an observational study

description: Additional file 1: Table S1. Linezolid Concentrations at Time Points.
DOI: 10.15468/dl.ur4jm5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.973622 -32.935174, 148.973622 -32.93742, 148.980359 -32.93742, 148.980359 -32.935174, 148.973622 -32.935174))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067923-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26707361
title: Additional file 1 of Decreased serpin C1 in extracellular vesicles predicts response to methotrexate treatment in patients with pulmonary sarcoidosis

description: Additional file 1: Isolation of extracellular vesicle serum fractions. LDL and HDL fractions can be obtained from serum by a DS and MnCl2 solution of DS: 0.05%, MnCl2: 0.05 M and DS: 0.65%, MnCl2: 0.2 M, respectively. For LDL fraction isolation, 25uL serum was diluted in 95 μl phosphate buffered saline (PBS) (Gibco), followed by addition of 5 μL magnetic beads (Nanomag®-D plain, 130 mm (1:25) (Micromod)). DS and MnCl2 were added into the total volume of 125 μL and were mixed. The mixture was incubated 5 min at room temperature (RT). Subsequently, the samples were placed on a bio-plex handheld magnet (Bio-Rad) and incubated 15 min at RT. The formed pellet is LDL fraction. For HDL isolation, the protocol is repeated when using 115 μL supernatant above the LDL pellet. The pellets were lysed with 125 μL Roche complete lysis-M with protease inhibitors (Roche). To remove magnetic beads and other debris, samples were centrifugated at 3200×g, 10 min. Table S1. Baseline characteristics of discovery cohort of sarcoidosis patients with pulmonary treatment indication and healthy controls. Fig. S1. Concentrations of EV biomarkers in patients with sarcoidosis treated with prednisone of the discovery cohort (n = 16). Figures a-d) represent protein levels measured in the LDL fraction, figures e-h) represent protein levels measured in the HDL sub fraction and figures i-l) represent protein concentrations measured in whole serum. NR = non-responder, R = responder. Fig. S2. Concentrations of EV biomarkers in patients with pulmonary sarcoidosis treated with MTX of the replication cohort. Figures a-d) represent protein levels measured in the LDL fraction, figures e-h) represent protein levels measured in the HDL sub fraction, and figures i-l) represent protein levels measured in whole serum. NR = non-responder, R = responder. *p &lt; 0.05.
DOI: 10.6084/m9.figshare.26707361.v1
title: Additional file 1 of Decreased serpin C1 in extracellular vesicles predicts response to methotrexate treatment in patients with pulmonary sarcoidosis

description: Additional file 1: Isolation of extracellular vesicle serum fractions. LDL and HDL fractions can be obtained from serum by a DS and MnCl2 solution of DS: 0.05%, MnCl2: 0.05 M and DS: 0.65%, MnCl2: 0.2 M, respectively. For LDL fraction isolation, 25uL serum was diluted in 95 μl phosphate buffered saline (PBS) (Gibco), followed by addition of 5 μL magnetic beads (Nanomag®-D plain, 130 mm (1:25) (Micromod)). DS and MnCl2 were added into the total volume of 125 μL and were mixed. The mixture was incubated 5 min at room temperature (RT). Subsequently, the samples were placed on a bio-plex handheld magnet (Bio-Rad) and incubated 15 min at RT. The formed pellet is LDL fraction. For HDL isolation, the protocol is repeated when using 115 μL supernatant above the LDL pellet. The pellets were lysed with 125 μL Roche complete lysis-M with protease inhibitors (Roche). To remove magnetic beads and other debris, samples were centrifugated at 3200×g, 10 min. Table S1. Baseline characteristics of discovery cohort of sarcoidosis patients with pulmonary treatment indication and healthy controls. Fig. S1. Concentrations of EV biomarkers in patients with sarcoidosis treated with prednisone of the discovery cohort (n = 16). Figures a-d) represent protein levels measured in the LDL fraction, figures e-h) represent protein levels measured in the HDL sub fraction and figures i-l) represent protein concentrations measured in whole serum. NR = non-responder, R = responder. Fig. S2. Concentrations of EV biomarkers in patients with pulmonary sarcoidosis treated with MTX of the replication cohort. Figures a-d) represent protein levels measured in the LDL fraction, figures e-h) represent protein levels measured in the HDL sub fraction, and figures i-l) represent protein levels measured in whole serum. NR = non-responder, R = responder. *p &lt; 0.05.
DOI: 10.6084/m9.figshare.26576048
title: Additional file 1 of Clinical characteristics, management, and outcomes of pulmonary valve myxoma: systematic review of published case reports

description: Additional file 1. Bias risk assessment of included studies using Joanna Briggs Institut checklist.
DOI: 10.6084/m9.figshare.26576021
title: Additional file 1 of Robust classification using average correlations as features (ACF)

description: Additional file 1. Table with p-values for pairwise comparisons between the tested classification approaches on the 5 biologic datasets.
DOI: 10.6084/m9.figshare.26616796.v1
title: Additional file 7 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 7: Source Data Figure 2. Source data for results in Figure 2.
DOI: 10.6084/m9.figshare.26616799
title: Additional file 8 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 8: Source Data Figure 3. Source data for results in Figure 3.
DOI: 10.6084/m9.figshare.26616811.v1
title: Additional file 12 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 12: Source Data Supplementary Figures. Source data for results in Supplementary Figures.
DOI: 10.6084/m9.figshare.26616805
title: Additional file 10 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 10: Source Data Figure 5. Source data for results in Figure 5.
DOI: 10.6084/m9.figshare.26616802.v1
title: Additional file 9 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 9: Source Data Figure 4. Source data for results in Figure 4.
DOI: 10.6084/m9.figshare.26616808
title: Additional file 11 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 11: Source Data Figure 6. Source data for results in Figure 6.
DOI: 10.6084/m9.figshare.26616811
title: Additional file 12 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 12: Source Data Supplementary Figures. Source data for results in Supplementary Figures.
DOI: 10.6084/m9.figshare.26616850
title: Additional file 1 of Causal effect of body mass index and physical activity on the risk of joint sports injuries: Mendelian randomization analysis in the European population

description: Additional file 1. Supplementary Tables S1 to S21.
DOI: 10.6084/m9.figshare.26616850.v1
title: Additional file 1 of Causal effect of body mass index and physical activity on the risk of joint sports injuries: Mendelian randomization analysis in the European population

description: Additional file 1. Supplementary Tables S1 to S21.
DOI: 10.6084/m9.figshare.26616808.v1
title: Additional file 11 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 11: Source Data Figure 6. Source data for results in Figure 6.
DOI: 10.6084/m9.figshare.26616796
title: Additional file 7 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 7: Source Data Figure 2. Source data for results in Figure 2.
DOI: 10.6084/m9.figshare.26616802
title: Additional file 9 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 9: Source Data Figure 4. Source data for results in Figure 4.
DOI: 10.6084/m9.figshare.26616799.v1
title: Additional file 8 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 8: Source Data Figure 3. Source data for results in Figure 3.
DOI: 10.6084/m9.figshare.26616805.v1
title: Additional file 10 of Quantitative determination of fluorescence labeling implemented in cell cultures

description: Additional file 10: Source Data Figure 5. Source data for results in Figure 5.
DOI: 10.6084/m9.figshare.26707427
title: Additional file 1 of Modelling the impact of hybrid immunity on future COVID-19 epidemic waves

description: Additional file 1. Modelling the impact of hybrid immunity on future COVID-19 epidemic waves: Supplementary Material (Supplementary Material.pdf) which contains extended modelling details and additional results. Modelling the impact of hybrid immunity on future COVID-19 epidemic waves: Code (hybrid_immunity_code.zip) which contains the source code for the agent-based transmission model and clinical pathways model.
DOI: 10.6084/m9.figshare.26707427.v1
title: Additional file 1 of Modelling the impact of hybrid immunity on future COVID-19 epidemic waves

description: Additional file 1. Modelling the impact of hybrid immunity on future COVID-19 epidemic waves: Supplementary Material (Supplementary Material.pdf) which contains extended modelling details and additional results. Modelling the impact of hybrid immunity on future COVID-19 epidemic waves: Code (hybrid_immunity_code.zip) which contains the source code for the agent-based transmission model and clinical pathways model.
DOI: 10.15468/dl.zcer3a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.69127 -32.93742, 147.698008 -32.93742, 147.698008 -32.935174, 147.69127 -32.935174, 147.69127 -32.93742)), ((147.69127 -32.93742, 147.686779 -32.93742, 147.686779 -32.941912, 147.69127 -32.941912, 147.69127 -32.93742)), ((147.698008 -32.935174, 147.700254 -32.935174, 147.700254 -32.932928, 147.698008 -32.932928, 147.698008 -32.935174)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067925-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26616973.v1
title: Additional file 1 of SARS-CoV-2 infection induces a long-lived pro-inflammatory transcriptional profile

description: Additional file 1: Table S1. Baseline characteristics of study participants. Participants excluded from this study are not shown. For the INCOV cohort, participants are grouped by their maximum COVID-19 severity across all measured time points. NA, not available.
DOI: 10.6084/m9.figshare.26576081.v1
title: Additional file 3 of TUBA1C: a new potential target of LncRNA EGFR-AS1 promotes gastric cancer progression

description: Supplementary Material 3
DOI: 10.15468/dl.usg3se
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Phagnalon phagnaloides (A.Rich.) Cufod."
 ]
}

 The dataset includes 31 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257574-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4ukxp
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gentiana maeulchanensis Franch."
 ]
}

 The dataset includes 47 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225585-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uske8q
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Passiflora edulis Sims"
 ]
}

 The dataset includes 363 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225943-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.