cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.58132/mysije
title: Searching for potential substrates for methane biosynthesis – characteristics of free bitumen chemistry

description: The research was conducted using gas chromatography coupled with mass spectrometry. For the study, samples of black shale (Kupferschiefer) with diverse pyrolytic parameters were selected from 4 sites within copper mines (Fore-Sudetic Monocline). Each site was represented by six samples. The tested samples showed pyrolytic properties characteristic of type II kerogen (one sample; designation KII), III (one sample; designation KIII) and IV (two samples designated KIV.1 and KIV.2). Each series of samples (6 replicates) was analysed using four methods of preparation (E, EA, EE and EAE). The first common step in each method was the extraction (E) of organic matter. After extraction, asphaltenes (A) were removed from half of the samples, and half of them were esterified (E). A total of 96 samples were analysed; 24 per site tested and 24 prepared by the same method. Separation of organic compounds was performed using a gas chromatograph (GC 7890A, Agilent Technologies, USA) interfaced to a mass detector (MS 5975c, Agilent Technologies, Santa Clara, CA, USA). The material was injected with an automatic dispenser (7683 Series Injector, Agilent Technologies, Santa Clara, CA, USA). Integration of the chromatograms was performed due to the threshold and peak height, and the coefficients were 15 and 0.01, respectively. Identification of mass spectra was carried out using the Willey spectral library (version 3.2, Copyright 1988-2000 by Palisade Corporation with The Wiley Registry of Mass Spectral Data, 8th Edition, Copyright 2000 by John Wiley and Sons, Inc.) and NIST (version 2.0f The NIST Mass Spectral Search Program for the NIST/EPA/NIH) (Silverstein et al., 2014).Four XLSX files contain summary data for each method and allow you to view the entire set (24 samples). The remaining tabular data consists of sheets extracted from them, presenting the results for individual samples (96) analyzed using each of the four extraction methods.
DOI: 10.25549/uschist-c104-253319
title: Southern California alumni review, vol. 14, no. 5 (1933 Jan.)

description: Southern California alumni review, vol. 14, no. 5 (1933 January). Published monthly except July and August.
DOI: 10.25549/uschist-c104-253320
title: Southern California alumni review, vol. 14, no. 5 (1933 Jan.)

description: Southern California alumni review, vol. 14, no. 5 (1933 January). Published monthly except July and August.
DOI: 10.25549/uschist-c104-253321
title: Southern California alumni review, vol. 14, no. 5 (1933 Jan.)

description: Southern California alumni review, vol. 14, no. 5 (1933 January). Published monthly except July and August.
DOI: 10.25549/uschist-c104-253326
title: Southern California alumni review, vol. 14, no. 5 (1933 Jan.)

description: Southern California alumni review, vol. 14, no. 5 (1933 January). Published monthly except July and August.
DOI: 10.25549/uschist-c104-253329
title: Southern California alumni review, vol. 14, no. 5 (1933 Jan.)

description: Southern California alumni review, vol. 14, no. 5 (1933 January). Published monthly except July and August.
DOI: 10.25549/uschist-c104-237533
title: Southern California alumni review, vol. 15, no. 6 (1934 Feb.)

description: Southern California alumni review, vol. 15, no. 6 (1934 February). Published monthly, except July and August.
DOI: 10.25549/uschist-c104-237534
title: Southern California alumni review, vol. 15, no. 6 (1934 Feb.)

description: Southern California alumni review, vol. 15, no. 6 (1934 February). Published monthly, except July and August.
DOI: 10.25549/uschist-c104-237540
title: Southern California alumni review, vol. 15, no. 6 (1934 Feb.)

description: Southern California alumni review, vol. 15, no. 6 (1934 February). Published monthly, except July and August.
DOI: 10.25549/uschist-c104-237544
title: Southern California alumni review, vol. 15, no. 6 (1934 Feb.)

description: Southern California alumni review, vol. 15, no. 6 (1934 February). Published monthly, except July and August.
DOI: 10.25549/uschist-c104-237553
title: Southern California alumni review, vol. 15, no. 7 (1934 Mar.)

description: Southern California alumni review, vol. 15, no. 7 (1934 March). Published monthly, except July and August.
DOI: 10.25549/uschist-c104-227401
title: Southern California alumni review, vol. 17, no. 5 (1936 Jan.)

description: Southern California alumni review, vol. 17, no. 5 (1936 January). Published twenty times a year.
DOI: 10.25549/uschist-c104-227405
title: Southern California alumni review, vol. 17, no. 5 (1936 Jan.)

description: Southern California alumni review, vol. 17, no. 5 (1936 January). Published twenty times a year.
DOI: 10.25549/uschist-c104-227407
title: Southern California alumni review, vol. 17, no. 5 (1936 Jan.)

description: Southern California alumni review, vol. 17, no. 5 (1936 January). Published twenty times a year.
DOI: 10.25549/uschist-c104-227413
title: Southern California alumni review, vol. 17, no. 5 (1936 Jan.)

description: Southern California alumni review, vol. 17, no. 5 (1936 January). Published twenty times a year.
DOI: 10.6084/m9.figshare.31375477
title: Supplementary Material for: Traditional Chinese Medicine Research Activity in Switzerland

description: Introduction Traditional Chinese Medicine (TCM) becomes popular in Switzerland; however, Swiss TCM research activity and scientific output have not been investigated.
Methods To describe the Swiss TCM research activities and main health conditions studied, a systematic literature search of PubMed (covering databases such as MEDLINE, life science journals and online books) and Embase was performed from database inception to December 31st, 2023. Articles describing a TCM-related therapy modality in humans with at least one author affiliated with a Swiss institution. Primary outcome was the main health condition studied. Secondary outcomes are the total number of articles published over time, the TCM therapies used, and the Swiss institutions involved. 
Results Of the 223 published articles included in the final analysis, 68.2% originated from the top 3 of 73Swiss institutions: the University of Zurich (32.3%), University of Bern (30.0%) and University of Basel (7.6%). Overall, 116 (52.0%) articles described original studies containing primary data. The top health categories studied were pain management (16.4%). The most used TCM therapies were acupuncture or moxibustion (61.2%).
Conclusion Until 2023, the total number of scientific TCM output by Swiss authors is steadily increasing but remains small. More effort to conducted TCM research and elucidate the TCM therapy effects in Switzerland is warranted.
DOI: 10.6084/m9.figshare.31375477.v1
title: Supplementary Material for: Traditional Chinese Medicine Research Activity in Switzerland

description: Introduction Traditional Chinese Medicine (TCM) becomes popular in Switzerland; however, Swiss TCM research activity and scientific output have not been investigated.
Methods To describe the Swiss TCM research activities and main health conditions studied, a systematic literature search of PubMed (covering databases such as MEDLINE, life science journals and online books) and Embase was performed from database inception to December 31st, 2023. Articles describing a TCM-related therapy modality in humans with at least one author affiliated with a Swiss institution. Primary outcome was the main health condition studied. Secondary outcomes are the total number of articles published over time, the TCM therapies used, and the Swiss institutions involved. 
Results Of the 223 published articles included in the final analysis, 68.2% originated from the top 3 of 73Swiss institutions: the University of Zurich (32.3%), University of Bern (30.0%) and University of Basel (7.6%). Overall, 116 (52.0%) articles described original studies containing primary data. The top health categories studied were pain management (16.4%). The most used TCM therapies were acupuncture or moxibustion (61.2%).
Conclusion Until 2023, the total number of scientific TCM output by Swiss authors is steadily increasing but remains small. More effort to conducted TCM research and elucidate the TCM therapy effects in Switzerland is warranted.
DOI: 10.25549/uschist-c104-227414
title: Southern California alumni review, vol. 17, no. 5 (1936 Jan.)

description: Southern California alumni review, vol. 17, no. 5 (1936 January). Published twenty times a year.
DOI: 10.25549/uschist-c104-228314
title: Southern California alumni review, vol. 21, no. 8 (1940 Apr.)

description: Southern California alumni review, vol. 21, no. 8 (1940 April). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.6084/m9.figshare.31375480
title: Supplementary Material for: Adebrelimab Combined with Chemotherapy for Esophageal Neuroendocrine Carcinoma：A Case Report

description: Introduction: Esophageal neuroendocrine carcinoma is an extremely rare type of esophageal cancer. Due to the limited number of cases, there are no established diagnostic and treatment guidelines.Case Presentation: A 60-year-old male presented with dysphagia and was subsequently diagnosed with large cell neuroendocrine carcinoma of the esophagus. He received four cycles of treatment with Adebrelimab combined with etoposide and carboplatin, which resulted in significant tumor shrinkage.Conclusion: Esophageal neuroendocrine carcinoma is a highly malignant tumor with a high mortality rate. A better understanding of its diagnosis and treatment strategies may contribute to favorable trends in patient outcomes, while its actual effect on long-term prognosis remains to be validated with extended follow-up.
DOI: 10.6084/m9.figshare.31375480.v1
title: Supplementary Material for: Adebrelimab Combined with Chemotherapy for Esophageal Neuroendocrine Carcinoma：A Case Report

description: Introduction: Esophageal neuroendocrine carcinoma is an extremely rare type of esophageal cancer. Due to the limited number of cases, there are no established diagnostic and treatment guidelines.Case Presentation: A 60-year-old male presented with dysphagia and was subsequently diagnosed with large cell neuroendocrine carcinoma of the esophagus. He received four cycles of treatment with Adebrelimab combined with etoposide and carboplatin, which resulted in significant tumor shrinkage.Conclusion: Esophageal neuroendocrine carcinoma is a highly malignant tumor with a high mortality rate. A better understanding of its diagnosis and treatment strategies may contribute to favorable trends in patient outcomes, while its actual effect on long-term prognosis remains to be validated with extended follow-up.
DOI: 10.5281/zenodo.18669667
title: Segmentation masks for: Comprehensive evaluation of cross-cancer generalization in histopathology segmentation models across 21 tumor types

description: This dataset accompanies the paper "Comprehensive evaluation of cross-cancer generalization in histopathology segmentation models across 21 tumor types."

It contains 38,080 semantic segmentation masks for 7,616 tumor tissue regions of interest (ROIs) across 21 TCGA cancer types. Each ROI was segmented by five organ-specific deep learning models (breast, colon, lung, kidney, prostate), yielding five masks per ROI. The masks are single-channel (grayscale) PNG images where pixel values represent 0-based class indices as detailed in the table below.

Class index mapping




Index
Breast (model 1)
Colon (model 2)
Lung (model 3)
Kidney (model 4)
Prostate (model 5)




0
Background
Background
Background
Background
Background


1
Tumor
Tumor / Adenoma HG
Tumor
Tumor
Tumor


2
Tumor Stroma
Mucosa / Adenoma LG
Tumor Stroma
Tumor Regression
Normal Epithelium


3
DCIS
Tumor Stroma
Necrosis
Necrosis
Normal Stroma


4
LCIS
Submucosa
Mucin
Kidney Benign
Background (slide)


5
Necrosis
Muscularis
Benign Lung
Urothelium
 


6
Mucin
Adventitia / Vessel
Stroma / Nerve / Fat
Fat
 


7
Inflammation
Lymph Node / Tissue
Blood
Stroma
 


8
Fat
Ulcus / Necrosis
Bronchus
Blood
 


9
Stroma
Blood
Cartilage
Adrenal
 


10
Blood
Mucin
Gland (Bronchial)
Background (slide)
 


11
Skin
Background (slide)
Lymph Aggregates / Lymph Node
 
 


12
Benign Epithelium
 
Background (slide)
 
 


13
Background (slide)
 
 
 
 




Contents

The dataset is organized as 21 TAR archives, one per TCGA project:



TCGA-BLCA (445 ROIs × 5 = 2,225 masks), TCGA-BRCA (1,007 × 5 = 5,035), TCGA-CESC (276 × 5 = 1,380), TCGA-CHOL (38 × 5 = 190), TCGA-COADREAD (590 × 5 = 2,950), TCGA-ESCA (157 × 5 = 785), TCGA-HNSC (456 × 5 = 2,280), TCGA-KICH (109 × 5 = 545), TCGA-KIRC (512 × 5 = 2,560), TCGA-KIRP (282 × 5 = 1,410), TCGA-LIHC (372 × 5 = 1,860), TCGA-LUAD (379 × 5 = 1,895), TCGA-LUSC (301 × 5 = 1,505), TCGA-MESO (84 × 5 = 420), TCGA-OV (106 × 5 = 530), TCGA-PAAD (199 × 5 = 995), TCGA-PRAD (415 × 5 = 2,075), TCGA-SKCM (457 × 5 = 2,285), TCGA-STAD (374 × 5 = 1,870), TCGA-THCA (504 × 5 = 2,520), TCGA-UCEC (553 × 5 = 2,765)


Each archive extracts to a directory named after its TCGA project. Individual files follow the naming convention:

{TCGA-ID}_{mpp}_tumor_model{N}_mask.png



TCGA-ID — TCGA case and slide identifier

mpp — spatial resolution of the source ROI in microns per pixel

N — segmentation model (1 = breast, 2 = colon, 3 = lung, 4 = kidney, 5 = prostate)


Related datasets



Tumor ROI images (input to segmentation): 10.5281/zenodo.18668580

Evaluation data (scoring results, Dice coefficients, clinical metadata): 10.5281/zenodo.18518811

Code (annotation, inference, scoring, and analysis pipeline): 10.5281/zenodo.18520078
DOI: 10.25549/uschist-c104-228319
title: Southern California alumni review, vol. 21, no. 8 (1940 Apr.)

description: Southern California alumni review, vol. 21, no. 8 (1940 April). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.5281/zenodo.18669666
title: Segmentation masks for: Comprehensive evaluation of cross-cancer generalization in histopathology segmentation models across 21 tumor types

description: This dataset accompanies the paper "Comprehensive evaluation of cross-cancer generalization in histopathology segmentation models across 21 tumor types."

It contains 38,080 semantic segmentation masks for 7,616 tumor tissue regions of interest (ROIs) across 21 TCGA cancer types. Each ROI was segmented by five organ-specific deep learning models (breast, colon, lung, kidney, prostate), yielding five masks per ROI. The masks are single-channel (grayscale) PNG images where pixel values represent 0-based class indices as detailed in the table below.

Class index mapping




Index
Breast (model 1)
Colon (model 2)
Lung (model 3)
Kidney (model 4)
Prostate (model 5)




0
Background
Background
Background
Background
Background


1
Tumor
Tumor / Adenoma HG
Tumor
Tumor
Tumor


2
Tumor Stroma
Mucosa / Adenoma LG
Tumor Stroma
Tumor Regression
Normal Epithelium


3
DCIS
Tumor Stroma
Necrosis
Necrosis
Normal Stroma


4
LCIS
Submucosa
Mucin
Kidney Benign
Background (slide)


5
Necrosis
Muscularis
Benign Lung
Urothelium
 


6
Mucin
Adventitia / Vessel
Stroma / Nerve / Fat
Fat
 


7
Inflammation
Lymph Node / Tissue
Blood
Stroma
 


8
Fat
Ulcus / Necrosis
Bronchus
Blood
 


9
Stroma
Blood
Cartilage
Adrenal
 


10
Blood
Mucin
Gland (Bronchial)
Background (slide)
 


11
Skin
Background (slide)
Lymph Aggregates / Lymph Node
 
 


12
Benign Epithelium
 
Background (slide)
 
 


13
Background (slide)
 
 
 
 




Contents

The dataset is organized as 21 TAR archives, one per TCGA project:



TCGA-BLCA (445 ROIs × 5 = 2,225 masks), TCGA-BRCA (1,007 × 5 = 5,035), TCGA-CESC (276 × 5 = 1,380), TCGA-CHOL (38 × 5 = 190), TCGA-COADREAD (590 × 5 = 2,950), TCGA-ESCA (157 × 5 = 785), TCGA-HNSC (456 × 5 = 2,280), TCGA-KICH (109 × 5 = 545), TCGA-KIRC (512 × 5 = 2,560), TCGA-KIRP (282 × 5 = 1,410), TCGA-LIHC (372 × 5 = 1,860), TCGA-LUAD (379 × 5 = 1,895), TCGA-LUSC (301 × 5 = 1,505), TCGA-MESO (84 × 5 = 420), TCGA-OV (106 × 5 = 530), TCGA-PAAD (199 × 5 = 995), TCGA-PRAD (415 × 5 = 2,075), TCGA-SKCM (457 × 5 = 2,285), TCGA-STAD (374 × 5 = 1,870), TCGA-THCA (504 × 5 = 2,520), TCGA-UCEC (553 × 5 = 2,765)


Each archive extracts to a directory named after its TCGA project. Individual files follow the naming convention:

{TCGA-ID}_{mpp}_tumor_model{N}_mask.png



TCGA-ID — TCGA case and slide identifier

mpp — spatial resolution of the source ROI in microns per pixel

N — segmentation model (1 = breast, 2 = colon, 3 = lung, 4 = kidney, 5 = prostate)


Related datasets



Tumor ROI images (input to segmentation): 10.5281/zenodo.18668580

Evaluation data (scoring results, Dice coefficients, clinical metadata): 10.5281/zenodo.18518811

Code (annotation, inference, scoring, and analysis pipeline): 10.5281/zenodo.18520078
DOI: 10.25549/uschist-c104-228321
title: Southern California alumni review, vol. 21, no. 8 (1940 Apr.)

description: Southern California alumni review, vol. 21, no. 8 (1940 April). Published twenty times a year, weekly from September to December 15, and monthly from January to June.
DOI: 10.6084/m9.figshare.31375483
title: Supplementary Material for: Global Treatment Patterns for IgA Nephropathy in Adults: Results From a Real-World Survey

description: Introduction: Data on global treatment patterns for immunoglobulin A nephropathy (IgAN) are limited. Herein, we describe real-world treatment in patients with IgAN in clinical practice across distinct global regions.

Methods: This was a retrospective analysis of data from a cross-sectional, survey-based study of nephrologists actively managing patients with IgAN (N = 174) and their patients receiving treatment (N = 869) in the United States, China, Japan, France, Germany, Italy, Spain, and the United Kingdom in 2021. Nephrologists completed patient record forms and patients completed voluntary patient self-completion forms. Outcomes included patient demographics, clinical characteristics, treatment patterns, and remaining unmet treatment needs. Results were reported using descriptive statistics.

Results: At survey completion, mean (± standard deviation [SD]) patient age was 41.6 years (±13.7), and 57.4% were male. At diagnosis, median proteinuria was 1.8 g/day (range: 0.0–22.0), and mean (±SD) eGFR was 76.9 mL/min/1.73 m2 (±29.1). Median time from diagnosis to first IgAN treatment was 0.0 months (range: −12.8 to 111.4), and mean (±SD) number of treatment lines was 1.6 (±0.9). The most frequently prescribed treatments at survey completion were renin–angiotensin system inhibitors (RASi; 76.3%) and corticosteroids (42.8%). For treatments prescribed first, second, and third, RASi were received by 76.2% (n = 611/802), 79.7% (n = 247/310), and 86.0% (n = 98/114), and corticosteroids were received by 45.8% (n = 367/802), 45.2% (n = 140/310), and 57.9% (n = 66/114), respectively. At survey completion, 17.5% of nephrologists thought that patients’ prescribed treatment was not achieving the best possible disease control. High levels of proteinuria (≥1 g/day) were observed regardless of region or treatment line.

Conclusion: This survey found that despite high levels of proteinuria among patients with IgAN, nephrologists generally adhered to conservative treatment approaches, in line with international guidelines at survey completion. These findings highlight an opportunity to improve patient outcomes and quality of life through the broader adoption of emerging treatments.
DOI: 10.6084/m9.figshare.31375483.v1
title: Supplementary Material for: Global Treatment Patterns for IgA Nephropathy in Adults: Results From a Real-World Survey

description: Introduction: Data on global treatment patterns for immunoglobulin A nephropathy (IgAN) are limited. Herein, we describe real-world treatment in patients with IgAN in clinical practice across distinct global regions.

Methods: This was a retrospective analysis of data from a cross-sectional, survey-based study of nephrologists actively managing patients with IgAN (N = 174) and their patients receiving treatment (N = 869) in the United States, China, Japan, France, Germany, Italy, Spain, and the United Kingdom in 2021. Nephrologists completed patient record forms and patients completed voluntary patient self-completion forms. Outcomes included patient demographics, clinical characteristics, treatment patterns, and remaining unmet treatment needs. Results were reported using descriptive statistics.

Results: At survey completion, mean (± standard deviation [SD]) patient age was 41.6 years (±13.7), and 57.4% were male. At diagnosis, median proteinuria was 1.8 g/day (range: 0.0–22.0), and mean (±SD) eGFR was 76.9 mL/min/1.73 m2 (±29.1). Median time from diagnosis to first IgAN treatment was 0.0 months (range: −12.8 to 111.4), and mean (±SD) number of treatment lines was 1.6 (±0.9). The most frequently prescribed treatments at survey completion were renin–angiotensin system inhibitors (RASi; 76.3%) and corticosteroids (42.8%). For treatments prescribed first, second, and third, RASi were received by 76.2% (n = 611/802), 79.7% (n = 247/310), and 86.0% (n = 98/114), and corticosteroids were received by 45.8% (n = 367/802), 45.2% (n = 140/310), and 57.9% (n = 66/114), respectively. At survey completion, 17.5% of nephrologists thought that patients’ prescribed treatment was not achieving the best possible disease control. High levels of proteinuria (≥1 g/day) were observed regardless of region or treatment line.

Conclusion: This survey found that despite high levels of proteinuria among patients with IgAN, nephrologists generally adhered to conservative treatment approaches, in line with international guidelines at survey completion. These findings highlight an opportunity to improve patient outcomes and quality of life through the broader adoption of emerging treatments.
DOI: 10.15468/dl.nfmjbg
title: Occurrence Download

description: A dataset containing 34978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicrotendipes",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 34978 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031302-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-228327
title: Southern California alumni review, vol. 21, no. 8 (1940 Apr.)

description: Southern California alumni review, vol. 21, no. 8 (1940 April). Published twenty times a year, weekly from September to December 15, and monthly from January to June.