cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3ndhhpnsyp
title: Informed consent form and

description: Informed consent form and Scale（modified Ashworth scale、visual analogue scale、Fugl-Meyer assessment、modified Barthel index）
DOI: 10.17632/3ndhhpnsyp.1
title: Informed consent form and

description: Informed consent form and Scale（modified Ashworth scale、visual analogue scale、Fugl-Meyer assessment、modified Barthel index）
DOI: 10.17632/8t6k37ztxc
title: Agri-Vision4: A Comprehensive Multi-Crop Leaf Disease Dataset of Tomato, Papaya, Zucchini, and Bottle Gourd from Bangladesh

description: Agri-Vision4 is an expert-validated, multi-crop leaf disease dataset designed to advance computer vision and machine learning research in precision agriculture. Collected from diverse agricultural regions in Bangladesh using a full-frame SONY ALPHA 7 II camera, this dataset integrates four major crops—Tomato (Solanum lycopersicum), Papaya (Carica papaya), Zucchini (Cucurbita pepo), and Bottle Gourd (Lagenaria siceraria)—comprising a total of 28,000 images (5,266 original and 22,734 augmented) across 28 distinct disease and healthy classes. Strictly adhering to the Data in Brief (June 2025) policy, all images were standardized to 512x512 pixels, verified by senior agronomists to ensure diagnostic accuracy, and expanded using Python-based augmentation techniques (rotation, flipping, noise injection) to address class imbalance. Organized into separate directories for raw and augmented data, this high-resolution resource captures real-world variability in lighting and texture, serving as a robust benchmark for developing automated plant disease detection models.
DOI: 10.17632/8t6k37ztxc.1
title: Agri-Vision4: A Comprehensive Multi-Crop Leaf Disease Dataset of Tomato, Papaya, Zucchini, and Bottle Gourd from Bangladesh

description: Agri-Vision4 is an expert-validated, multi-crop leaf disease dataset designed to advance computer vision and machine learning research in precision agriculture. Collected from diverse agricultural regions in Bangladesh using a full-frame SONY ALPHA 7 II camera, this dataset integrates four major crops—Tomato (Solanum lycopersicum), Papaya (Carica papaya), Zucchini (Cucurbita pepo), and Bottle Gourd (Lagenaria siceraria)—comprising a total of 28,000 images (5,266 original and 22,734 augmented) across 28 distinct disease and healthy classes. Strictly adhering to the Data in Brief (June 2025) policy, all images were standardized to 512x512 pixels, verified by senior agronomists to ensure diagnostic accuracy, and expanded using Python-based augmentation techniques (rotation, flipping, noise injection) to address class imbalance. Organized into separate directories for raw and augmented data, this high-resolution resource captures real-world variability in lighting and texture, serving as a robust benchmark for developing automated plant disease detection models.
DOI: 10.17632/26hzfrmz8x
title: The Oncology (ONCO) Corpus

description: This dataset comprises oncology journal articles downloaded from the European Journal of Oncology Nursing and Cancer Nursing Practice between 2010 and 2016 (The Oncology Corpus).
DOI: 10.17632/26hzfrmz8x.1
title: The Oncology (ONCO) Corpus

description: This dataset comprises oncology journal articles downloaded from the European Journal of Oncology Nursing and Cancer Nursing Practice between 2010 and 2016 (The Oncology Corpus).
DOI: 10.17632/kgb996jd2d
title: Research Data for: Diffusion-Driven Lithium Entrapment as a Kinetic Limitation in Silicon Battery Electrodes

description: This data set contain the matlab code required to simulate and generate the images for the research article in the title. Detailed information is shown in the README.md file. The data set also contains two videos showing example diffusion processes. These are for illustration purposed to show how the two-way diffusion works.
DOI: 10.17632/kgb996jd2d.1
title: Research Data for: Diffusion-Driven Lithium Entrapment as a Kinetic Limitation in Silicon Battery Electrodes

description: This data set contain the matlab code required to simulate and generate the images for the research article in the title. Detailed information is shown in the README.md file. The data set also contains two videos showing example diffusion processes. These are for illustration purposed to show how the two-way diffusion works.
DOI: 10.17632/2wgzmcy5m4
title: Homoharringtonine Inhibits Cervical Cancer by Blocking EGFR/PI3K/AKT/mTOR Signaling and Reprogramming Autophagy-Lysosome Function

description: The transcriptomics raw data from the article "Homoharringtonine Inhibits Cervical Cancer by Blocking EGFR/PI3K/AKT/mTOR Signaling and Reprogramming Autophagy-Lysosome Function"(Part One)
DOI: 10.17632/2wgzmcy5m4.1
title: Homoharringtonine Inhibits Cervical Cancer by Blocking EGFR/PI3K/AKT/mTOR Signaling and Reprogramming Autophagy-Lysosome Function

description: The transcriptomics raw data from the article "Homoharringtonine Inhibits Cervical Cancer by Blocking EGFR/PI3K/AKT/mTOR Signaling and Reprogramming Autophagy-Lysosome Function"(Part One)
DOI: 10.17632/p5n4mfnj2c
title: Determination of the lattice parameters a and c for the hexagonal graphite unit cell using X-ray diffraction data.

description: To study the microstructural evolution of graphite and its allotropes under milling, graphite powder was processed using horizontal stainless-steel ball mills. A Ball-to-Powder Volume Ratio (BPVR) of 90 was maintained. Milling durations of 8, 16, 32, and 64 hours were investigated. 
This database contains the results of X-ray diffraction (XRD) analysis and includes the necessary calculations for determining the lattice parameters a and c. Measurements were performed using an Inel EQUINOX 2000 X-ray diffractometer configured with: A curved position-sensitive detector, CoKα₁ radiation (λ = 1.78901 Å), and a germanium monochromator. The acquired data were post-processed to convert results to CuKα₁ radiation (λ = 1.5406 Å) for consistency with standard references. 2θ peak positions were calibrated using a high-purity graphite standard (99.99%, Aldrich). Thanks to this analysis, it was possible to detect changes in the intensity of the main peak, shifts in the 2θ peaks, and their broadening. From these results, the variation in the lattice parameters "a" and "c" was calculated, which proved crucial for understanding the microstructural changes caused by lattice expansión. In the document titled "Determination of Lattice Parameters a and c," the calculations performed to determine the values of the unit cell parameters a and c are detailed. First, the interplanar distance was determined using Bragg's law, based on the 2θ peak positions corresponding to the (002) and (110) planes. Subsequently, using the formula for interplanar spacing in the hexagonal crystal system, the values of c and a were derived by applying the respective Miller indices (hkl) of the aforementioned planes.
 Additionally, this dataset comprises raw laser diffraction particle size analysis results. For the analysis, samples were dispersed in a 0.2% sodium hexametaphosphate solution (pH 10) and subjected to 5 minutes of ultrasonic bath treatment to ensure complete particle deagglomeration. The data reveal the dominant stages of graphite exfoliation and fracture, as well as the formation of micrometric aggregates after 64 hours.
DOI: 10.18739/a21834476
title: Constant stress creep and unconfined compressive strength testing data for ice-rich silty permafrost in Northern Alaska (2023)

description: This dataset consists of constant stress creep and unconfined compressive strength test data for ice-rich permafrost retrieved from the tundra near Utqiaġvik, used to examine the mechanical behavior of relatively undisturbed permafrost under different temperature conditions. The results are discussed in the following paper:
 Wang, Z., Xiao, M., Bray, M., Nicolsky, D., & Ji, X. (2026). Creep Deformation and Long-Term Strength of Ice-Rich Permafrost in Northern Alaska. Journal of Geotechnical and Geoenvironmental Engineering, 152(1), 04025161.
 Laboratory testing dates: 2023-02-21 - 2023-06-05
 The degradation of permafrost alters deformation and long-term strength, posing challenges to existing and future civil infrastructure in Northern Alaska. Long-term strength is a critical parameter in the design of civil projects; yet, to our best knowledge, data on the creep deformation and long-term strength of undisturbed permafrost in Northern Alaska remain limited. This study provides laboratory testing data on the creep and compressive strength of ice-rich permafrost in northern Alaska. In this study, field samples of relatively undisturbed permafrost from the upper 1.5 meters (m) of the Arctic Coastal Plain near Utqiaġvik, Alaska, were retrieved and analyzed. We conducted constant stress creep tests, unconfined compression strength tests, and unfrozen water content tests to assess the mechanical and physical properties of the retrieved permafrost cores.
DOI: 10.17632/p5n4mfnj2c.1
title: Determination of the lattice parameters a and c for the hexagonal graphite unit cell using X-ray diffraction data.

description: To study the microstructural evolution of graphite and its allotropes under milling, graphite powder was processed using horizontal stainless-steel ball mills. A Ball-to-Powder Volume Ratio (BPVR) of 90 was maintained. Milling durations of 8, 16, 32, and 64 hours were investigated. 
This database contains the results of X-ray diffraction (XRD) analysis and includes the necessary calculations for determining the lattice parameters a and c. Measurements were performed using an Inel EQUINOX 2000 X-ray diffractometer configured with: A curved position-sensitive detector, CoKα₁ radiation (λ = 1.78901 Å), and a germanium monochromator. The acquired data were post-processed to convert results to CuKα₁ radiation (λ = 1.5406 Å) for consistency with standard references. 2θ peak positions were calibrated using a high-purity graphite standard (99.99%, Aldrich). Thanks to this analysis, it was possible to detect changes in the intensity of the main peak, shifts in the 2θ peaks, and their broadening. From these results, the variation in the lattice parameters "a" and "c" was calculated, which proved crucial for understanding the microstructural changes caused by lattice expansión. In the document titled "Determination of Lattice Parameters a and c," the calculations performed to determine the values of the unit cell parameters a and c are detailed. First, the interplanar distance was determined using Bragg's law, based on the 2θ peak positions corresponding to the (002) and (110) planes. Subsequently, using the formula for interplanar spacing in the hexagonal crystal system, the values of c and a were derived by applying the respective Miller indices (hkl) of the aforementioned planes.
 Additionally, this dataset comprises raw laser diffraction particle size analysis results. For the analysis, samples were dispersed in a 0.2% sodium hexametaphosphate solution (pH 10) and subjected to 5 minutes of ultrasonic bath treatment to ensure complete particle deagglomeration. The data reveal the dominant stages of graphite exfoliation and fracture, as well as the formation of micrometric aggregates after 64 hours.
DOI: 10.17632/dd6bvtrv9b
title: ROR1-PI3K/AKT signaling drives adaptive resistance to cell cycle blockade in TP53 mutated ovarian cancer

description: We developed long-term resistant pre-clinical models to two complementary drugs: adavosertib (ADA) and paclitaxel (PTX). Through multiomics functional profiling we identified distinct transcriptomic and morphological changes in the ovarian cancer resistant models. 

- seurat_counts.csv.gz: raw counts for sc-data
- seurat_metadata.csv.gz: metadata for sc-data
- CellPainting_raw_data.zip: Cell Painting features extracted with CellProfiler
- SourceData_FigureS3.zip: Source data for figure S3
- SourceData_FigureS4.zip: Source data for figure S4
- SourceData_FigureS6.zip: Source data for figure S6
DOI: 10.17632/dd6bvtrv9b.1
title: ROR1-PI3K/AKT signaling drives adaptive resistance to cell cycle blockade in TP53 mutated ovarian cancer

description: We developed long-term resistant pre-clinical models to two complementary drugs: adavosertib (ADA) and paclitaxel (PTX). Through multiomics functional profiling we identified distinct transcriptomic and morphological changes in the ovarian cancer resistant models. 

- seurat_counts.csv.gz: raw counts for sc-data
- seurat_metadata.csv.gz: metadata for sc-data
- CellPainting_raw_data.zip: Cell Painting features extracted with CellProfiler
- SourceData_FigureS3.zip: Source data for figure S3
- SourceData_FigureS4.zip: Source data for figure S4
- SourceData_FigureS6.zip: Source data for figure S6
DOI: 10.15468/dl.ztvep3
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.37.3_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 161 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009509-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yw33287b43
title: Service quality, patient trust, and satisfaction across outpatient care settings: Evidence from a stratified healthcare system

description: Data were collected from outpatients in Taiwan immediately following the completion of their medical consultation, while they were waiting to complete administrative procedures such as payment or medication collection. This timing was selected to ensure that respondents’ evaluations reflected recent and salient service experiences, including interaction quality, process performance, and waiting conditions during the outpatient visit. A proportionate sampling strategy was employed to ensure balanced representation across the three levels of healthcare institutions. Trained research assistants approached eligible patients in outpatient waiting areas, explained the study purpose, and obtained informed consent prior to questionnaire administration. Inclusion criteria required respondents to be at least 18 years of age, to have completed the current outpatient visit, and to be able to read Chinese. Consistent with recommended guidelines for SEM and multi-group analysis (Kline, 2016), data were collected using a combination of paper-based questionnaires and mobile QR-code surveys to accommodate different respondent preferences. Of the 381 questionnaires returned, 345 valid responses were retained after excluding incomplete or ineligible cases, yielding an effective response rate of 90.55%. The final sample comprised patients from medical centers (N = 111), regional hospitals (N = 114), and clinics (N = 120).
DOI: 10.5281/zenodo.18247866
title: Baccharis sphenophylla Dusén ex Malme. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18247867
title: Baccharis sphenophylla Dusén ex Malme. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.17632/yw33287b43.1
title: Service quality, patient trust, and satisfaction across outpatient care settings: Evidence from a stratified healthcare system

description: Data were collected from outpatients in Taiwan immediately following the completion of their medical consultation, while they were waiting to complete administrative procedures such as payment or medication collection. This timing was selected to ensure that respondents’ evaluations reflected recent and salient service experiences, including interaction quality, process performance, and waiting conditions during the outpatient visit. A proportionate sampling strategy was employed to ensure balanced representation across the three levels of healthcare institutions. Trained research assistants approached eligible patients in outpatient waiting areas, explained the study purpose, and obtained informed consent prior to questionnaire administration. Inclusion criteria required respondents to be at least 18 years of age, to have completed the current outpatient visit, and to be able to read Chinese. Consistent with recommended guidelines for SEM and multi-group analysis (Kline, 2016), data were collected using a combination of paper-based questionnaires and mobile QR-code surveys to accommodate different respondent preferences. Of the 381 questionnaires returned, 345 valid responses were retained after excluding incomplete or ineligible cases, yielding an effective response rate of 90.55%. The final sample comprised patients from medical centers (N = 111), regional hospitals (N = 114), and clinics (N = 120).
DOI: 10.17632/x5vpz9993c.1
title: Dataset for the Multiple Trip Aircraft Refueling Problem

description: This dataset provides all benchmark instances used in the article “Aircraft Refueling with Multiple Trips: A Practical Problem and a Hybrid ILS-RVND Metaheuristic Solution,” enabling the complete replication of the computational experiments reported in the article. It consists of a test instance set with five small to medium-sized instances, a set with fifteen small and medium-sized instances relating to aircraft parked in a straight line, and another with fourteen instances, also small and medium-sized, relating to aircraft not parked in a straight line. All data is available in plain text and Excel formats to facilitate analysis.
DOI: 10.17632/vwkv7vgj8p
title: Targeting SPHK1 by 8-HETrE Attenuates MASH-Driven Fibrosis via Restoration of Hepatic Stellate Cell Mitochondrial Dynamics

description: Metabolic dysfunction-associated steatohepatitis (MASH) drives hepatic stellate cell (HSC) activation and extracellular matrix deposition, leading to liver fibrosis, for which effective treatments remain lacking. Here, we report that 8-hydroxyoctacosatrienoic acid (8-HETrE), an arachidonic acid metabolite generated through cytochrome P450 or lipoxygenase pathways, significantly ameliorates MASH-related fibrosis by targeting sphingosine kinase 1 (SPHK1) and restoring mitochondrial function. Clinical observations revealed markedly reduced circulating 8-HETrE levels in patients with MASH fibrosis. In vivo studies demonstrated that 8-HETrE administration improved liver function, enhanced expression of mitochondrial fusion proteins (MFN1, MFN2, OPA1), and attenuated fibrosis in Gubra-Amylin-NASH (GAN)-diet-induced MASH models. In TGF-β1-activated human HSCs cell line (LX-2 cells), 8-HETrE treatment suppressed fibrotic markers (α-SMA, COL1A1) and improved mitochondrial dynamics. Mechanistic investigations revealed that 8-HETrE exerted its anti-fibrotic effects primarily through SPHK1 inhibition: SPHK1 knockdown moderately reduced HSC activation, decreased sphingosine-1-phosphate (S1P), lactate, and nitrite levels, enhanced glucose uptake, and promoted mitochondrial fusion, while completely abolishing 8-HETrE's therapeutic effects. Conversely, SPHK1 overexpression exacerbated fibrotic and metabolic abnormalities, which were effectively reversed by 8-HETrE treatment. Critically, HSC-specific Sphk1 knockout independently improved MASH fibrosis, mitochondrial function, and metabolic parameters, while completely blocking 8-HETrE's benefits. Our findings identify 8-HETrE as a novel mediator that targets the SPHK1-mitochondrial dynamics axis in HSCs, providing both mechanistic insights and therapeutic potential for MASH-related fibrosis treatment.
DOI: 10.17632/vwkv7vgj8p.1
title: Targeting SPHK1 by 8-HETrE Attenuates MASH-Driven Fibrosis via Restoration of Hepatic Stellate Cell Mitochondrial Dynamics

description: Metabolic dysfunction-associated steatohepatitis (MASH) drives hepatic stellate cell (HSC) activation and extracellular matrix deposition, leading to liver fibrosis, for which effective treatments remain lacking. Here, we report that 8-hydroxyoctacosatrienoic acid (8-HETrE), an arachidonic acid metabolite generated through cytochrome P450 or lipoxygenase pathways, significantly ameliorates MASH-related fibrosis by targeting sphingosine kinase 1 (SPHK1) and restoring mitochondrial function. Clinical observations revealed markedly reduced circulating 8-HETrE levels in patients with MASH fibrosis. In vivo studies demonstrated that 8-HETrE administration improved liver function, enhanced expression of mitochondrial fusion proteins (MFN1, MFN2, OPA1), and attenuated fibrosis in Gubra-Amylin-NASH (GAN)-diet-induced MASH models. In TGF-β1-activated human HSCs cell line (LX-2 cells), 8-HETrE treatment suppressed fibrotic markers (α-SMA, COL1A1) and improved mitochondrial dynamics. Mechanistic investigations revealed that 8-HETrE exerted its anti-fibrotic effects primarily through SPHK1 inhibition: SPHK1 knockdown moderately reduced HSC activation, decreased sphingosine-1-phosphate (S1P), lactate, and nitrite levels, enhanced glucose uptake, and promoted mitochondrial fusion, while completely abolishing 8-HETrE's therapeutic effects. Conversely, SPHK1 overexpression exacerbated fibrotic and metabolic abnormalities, which were effectively reversed by 8-HETrE treatment. Critically, HSC-specific Sphk1 knockout independently improved MASH fibrosis, mitochondrial function, and metabolic parameters, while completely blocking 8-HETrE's benefits. Our findings identify 8-HETrE as a novel mediator that targets the SPHK1-mitochondrial dynamics axis in HSCs, providing both mechanistic insights and therapeutic potential for MASH-related fibrosis treatment.
DOI: 10.17632/2ww8t5nhz4
title: Code for: Knowledge Distilled Physics-Informed Neural Networks (KD-PINN)
DOI: 10.17632/2ww8t5nhz4.1
title: Code for: Knowledge Distilled Physics-Informed Neural Networks (KD-PINN)
DOI: 10.17632/jc6wr2bry3.1
title: BRD4-mediated ER membrane contact creates functionally distinct mitochondria subtypes, Chen et al

description: Manuscript related data:
a. Supplemental tables (Table S1-7)
 Table S1. FDA-drug repurposing screen, related to figure 1.
 Table S2. CRISPR screening results for regulators of ERMCS, related to figure 3.
 Table S3. BrU-seq data for SW480 cells treated with fedratinib for 30 min and 2 hr, related to Figures 3, S2 and S3.
 Table S4. Metabolomics information for fedratinib-treated SW480 and HT1080 cells, related to Figure 5.
 Table S5. Lipidomic information for fedratinib-treated SW480 and HT1080 cells and mitochondria, related to Figure 5.
 Table S6. Whole cell and FAMS-sorted mitochondrial proteomics results in vehicle (DMSO) treated cells, fedratinib-treated cells. SPLICSLo and SPLICSHi mitochondria from vehicle and fedratinib-treated cells, related to Figure 6 and Figure S3.
 Table S7. Nucleotide sequences used for primers and oligos, related to Figures 2, 3, and S3 and STAR Methods.
b. Source Blots and FAMS plots
c. Source statistical data for main figures (Figure 1-7)
d. Source statistical data for supplemental figures (Figure S1-7)
e. Supplemental movie (1-4)
 1. Lattice light sheet imaging of SW480 treated with fedratinib
 1. Lattice light sheet imaging of HT1080 treated with fedratinib
 1. CLEM segmentation rendering of SW480 treated with fedratinib
 1. CLEM segmentation rendering of HT1080 treated with fedratinib