cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30986971.v1
title: Supplementary Material for: Preeclampsia prediction by machine learning in twin pregnancies

description: While machine learning models successfully predict preeclampsia in singleton pregnancies and aspirin prophylaxis prevents preterm preeclampsia, no parallel models exist for twin pregnancies. This study developed machine learning algorithms to predict preeclampsia in twins using maternal factors and biomarkers from all three trimesters.
We prospectively enrolled 596 pregnant women with twin pregnancies at 11+0 to 13+6 weeks' gestation. Machine learning models assessed the efficacy of maternal factors and biomarkers for preeclampsia prediction across all trimesters. Screening performance was evaluated using area under the receiver operating characteristic (ROC) curves. Women with first-trimester risk &gt;1/100 received aspirin treatment (150-160 mg/day) based on twin-specific algorithms, while others received 80-100 mg/day or no treatment according to local guidelines.
Sixty-seven women (11.2%) developed preeclampsia, including 40 (6.7%) with preterm preeclampsia. Key first-trimester markers included maternal factors, mean arterial pressure, cell-free fetal DNA, placental growth factor, and blood group B. Second and third-trimester predictors comprised placental growth factor, soluble fms-like tyrosine kinase-1, and mean arterial pressure. The optimal machine learning model incorporating all three trimesters achieved an area under the ROC curve of 0.97 with 91% detection rate at 10% false positive rate.
Despite aspirin treatment in 257 women (43.1%), logistic regression showed no significant reduction in preeclampsia rates. These findings suggest that while multi-trimester biomarkers effectively predict preeclampsia in twins, the effect of aspirin prophylaxis in twin pregnancies has yet to be proven. An app to predict this score is available at: twin-pe.math.biu.ac.il or by contact with the corresponding author
DOI: 10.6084/m9.figshare.30986974
title: Supplementary Material for: The efficacy and safety of intravenous difelikefalin for the treatment of pruritus in patients undergoing hemodialysis: a systematic review and meta-analysis of randomized controlled trials

description: Introduction: Chronic kidney disease-associated pruritus (CKD-aP) is a common and distressing symptom in end-stage renal disease (ESRD) patients undergoing hemodialysis (HD), significantly impairing quality of life. This meta-analysis evaluates the efficacy and safety of difelikefalin for CKD-aP.
Methods: We systematically searched PubMed, Embase, Cochrane Library, Web of Science, and Scopus for randomized controlled trials (RCTs) on difelikefalin in HD patients up to November 19, 2024. Risk of bias was assessed using the Cochrane tool. Data were analyzed using Stata 15.1, with results expressed as risk ratios (RR) or mean differences (MD) with 95% confidence intervals (CI).
Results: Five RCTs involving 937 HD patients were included. Difelikefalin significantly reduced weekly average WI-NRS score (MD: −0.41 [−0.51, −0.31]), 5-D Itch Scale (MD: −0.42 [−0.53, −0.31]), Skindex-10 (MD: −0.42 [−0.58, −0.26]), and Skindex-16 (MD: −0.16 [−0.23, −0.00]). It also increased the proportion achieving WI-NRS improvement ≥3 points (RR: 1.29), ≥4 points (RR: 1.45), and patient global impression of change (PGIC) response (RR: 1.44) (all p &lt; 0.05). Adverse events were higher with difelikefalin (RR: 1.26, p &lt; 0.001), but no significant differences were found in serious adverse events, discontinuation, or mortality (all p &gt; 0.05).
Discussion: Difelikefalin is effective in reducing moderate-to-severe CKD-aP in HD patients, though it may increase non-serious adverse events. Limitations include limited evidence and short-term follow-up. Larger, multi-center RCTs are needed to confirm long-term safety and efficacy.
DOI: 10.6084/m9.figshare.30986974.v1
title: Supplementary Material for: The efficacy and safety of intravenous difelikefalin for the treatment of pruritus in patients undergoing hemodialysis: a systematic review and meta-analysis of randomized controlled trials

description: Introduction: Chronic kidney disease-associated pruritus (CKD-aP) is a common and distressing symptom in end-stage renal disease (ESRD) patients undergoing hemodialysis (HD), significantly impairing quality of life. This meta-analysis evaluates the efficacy and safety of difelikefalin for CKD-aP.
Methods: We systematically searched PubMed, Embase, Cochrane Library, Web of Science, and Scopus for randomized controlled trials (RCTs) on difelikefalin in HD patients up to November 19, 2024. Risk of bias was assessed using the Cochrane tool. Data were analyzed using Stata 15.1, with results expressed as risk ratios (RR) or mean differences (MD) with 95% confidence intervals (CI).
Results: Five RCTs involving 937 HD patients were included. Difelikefalin significantly reduced weekly average WI-NRS score (MD: −0.41 [−0.51, −0.31]), 5-D Itch Scale (MD: −0.42 [−0.53, −0.31]), Skindex-10 (MD: −0.42 [−0.58, −0.26]), and Skindex-16 (MD: −0.16 [−0.23, −0.00]). It also increased the proportion achieving WI-NRS improvement ≥3 points (RR: 1.29), ≥4 points (RR: 1.45), and patient global impression of change (PGIC) response (RR: 1.44) (all p &lt; 0.05). Adverse events were higher with difelikefalin (RR: 1.26, p &lt; 0.001), but no significant differences were found in serious adverse events, discontinuation, or mortality (all p &gt; 0.05).
Discussion: Difelikefalin is effective in reducing moderate-to-severe CKD-aP in HD patients, though it may increase non-serious adverse events. Limitations include limited evidence and short-term follow-up. Larger, multi-center RCTs are needed to confirm long-term safety and efficacy.
DOI: 10.5281/zenodo.18129991
title: Fig3b - fitted frames
DOI: 10.15468/dl.cnscjj
title: Occurrence Download

description: A dataset containing 6796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.26.9_1",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 6796 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070920-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18129990
title: Fig3b - fitted frames
DOI: 10.15468/dl.4qxsyp
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Campanula veneris"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070921-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17530559
title: Dataset accompanying: The electric vehicle transition and vanishing fuel tax revenues

description: Accompanying dataset for the Brief Communications entitled "The electric vehicle transition and vanishing fuel tax revenues", published in Nature Sustainability (2026). https://doi.org/10.1038/s41893-025-01721-7
DOI: 10.5281/zenodo.17530560
title: Dataset accompanying: The electric vehicle transition and vanishing fuel tax revenues

description: Accompanying dataset for the Brief Communications entitled "The electric vehicle transition and vanishing fuel tax revenues", published in Nature Sustainability (2026). https://doi.org/10.1038/s41893-025-01721-7
DOI: 10.15468/xluvjf
title: A new species of Chondrostoma Agassiz, 1832 (Cypriniformes: Cyprinidae) with sexual dimorphism from the lower Rio Tejo Basin, Portugal.

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hugo F. Gante, Carlos D. Santos, Maria Judite Alves (2007): A new species of Chondrostoma Agassiz, 1832 (Cypriniformes: Cyprinidae) with sexual dimorphism from the lower Rio Tejo Basin, Portugal. Zootaxa 1616: 23-35, URL: http://www.zoobank.org/urn:lsid:zoobank.org:pub:AF430D3B-4F81-4CAF-9EBD-F3AA5D16FDF0
DOI: 10.5281/zenodo.18130108
title: Tensile static tests and thermal expansion coefficients data of 50 g/m2 cured unidirectional carbon/epoxy TP402/T700S for original and cryogenic conditions

description: Data from tensile tests at room temperature and coefficients of thermal expansion in a range of 20K are registered for: 1)  as-cured material without any cryogenic exposure, and 2) after long-term exposure to liquid nitrogen.
DOI: 10.5281/zenodo.18130109
title: Tensile static tests and thermal expansion coefficients data of 50 g/m2 cured unidirectional carbon/epoxy TP402/T700S for original and cryogenic conditions

description: Data from tensile tests at room temperature and coefficients of thermal expansion in a range of 20K are registered for: 1)  as-cured material without any cryogenic exposure, and 2) after long-term exposure to liquid nitrogen.
DOI: 10.5281/zenodo.18108894
title: Understanding Continuous Purchase Behavior among Generation Z: A Study of Social Media Driven Blind Box Consumption
DOI: 10.5281/zenodo.18108895
title: Understanding Continuous Purchase Behavior among Generation Z: A Study of Social Media Driven Blind Box Consumption
DOI: 10.17632/z4xm3ycbf9
title: Systematic probe selection for brain-derived neurotrophic factor and trafficking related genes in the Allen Human Brain Atlas

description: This dataset consists of multiple files provided as Excel spreadsheets and a Python script. The primary dataset includes probe-level expression data retrieved from the Allen Human Brain Atlas for eight genes (BDNF, carboxypeptidase E (CPE), sortilin (SORT), huntingtin-associated protein 1 (HAP1), huntingtin (HTT), secretogranin II (SG2), and Arf1), with each row corresponding to an individual microarray probe. This file includes probe identification numbers, mean expression across brain regions, and standard deviation. The second Excel spreadsheet links probe expression data to donor-level metadata and brain region. In addition to the Excel spreadsheets, our dataset also includes a Python script that generates violin plots that allow for the visualization of each probe’s expression pattern across brain regions and across donors.
DOI: 10.17632/z4xm3ycbf9.1
title: Systematic probe selection for brain-derived neurotrophic factor and trafficking related genes in the Allen Human Brain Atlas

description: This dataset consists of multiple files provided as Excel spreadsheets and a Python script. The primary dataset includes probe-level expression data retrieved from the Allen Human Brain Atlas for eight genes (BDNF, carboxypeptidase E (CPE), sortilin (SORT), huntingtin-associated protein 1 (HAP1), huntingtin (HTT), secretogranin II (SG2), and Arf1), with each row corresponding to an individual microarray probe. This file includes probe identification numbers, mean expression across brain regions, and standard deviation. The second Excel spreadsheet links probe expression data to donor-level metadata and brain region. In addition to the Excel spreadsheets, our dataset also includes a Python script that generates violin plots that allow for the visualization of each probe’s expression pattern across brain regions and across donors.
DOI: 10.17632/7wr6ydbbff
title: PXR activation in 3T3L1 and NIH3T3 fibroblasts
DOI: 10.17632/7wr6ydbbff.1
title: PXR activation in 3T3L1 and NIH3T3 fibroblasts
DOI: 10.17632/6rg4hk6728.1
title: Dataset on NAFLD Severity Classification with Ultrasound Liver Image & Clinical Data

description: This dateset contains three stage of liver condition along with clinical data and demographic data on the classification of Non-Alcoholic Fatty Liver Disease (NAFLD). This dataset meant to help in medical image analysis, machine learning, and deep learning for early liver disease detection and severity assessment. 
The ultrasound images are acquired with standard diagnostic ultrasound equipment in B-mode. Ultrasound imaging is a widely used, and cost-effective modality for liver assessment, making it particularly suitable for large-scale screening and early detection of NAFLD. Each sample is labelled according to NAFLD status, and disease severity grades (Normal, Benign, Malignant). These labels enable both binary and multi-classification tasks.
Along with images of liver, we include clinical and demographic data relevant to NAFLD diagnosis. The clinical data included with patient age, gender, body mass index (BMI), liver enzyme measurements such as alanine aminotransferase (ALT) and aspartate aminotransferase (AST), waist size, glucose, cholesterol such as (LDL,HDL, Triglycerides). This combination of data (image and Tabular) makes possible research on multi-modal learning, which improve diagnostic accuracy and model robustness. 
All data on our dataset are anonymized to de-identified patient's personal information and to ensure compliance with ethical research standards and data protection guidelines. The dataset is strictly provided for research and educational purposes and does not contain any information that can be used to identify individual patients.
This dataset can be used for image preprocessing, classical machine learning classification, convolutional neural network (CNN)-based deep learning, disease severity grading, and comparative studies between image-only and multi-modal diagnostic approaches. the dataset Publicly accessible under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.17632/yzn5523wvn
title: Pannexin-1 channel activity regulates neurogenesis and cell survival in the developing cortex

description: Original western blot images related to Figure 1 and Supplementary Figure 7
DOI: 10.17632/yzn5523wvn.1
title: Pannexin-1 channel activity regulates neurogenesis and cell survival in the developing cortex

description: Original western blot images related to Figure 1 and Supplementary Figure 7
DOI: 10.17632/gr892kdjt5
title: Data for "Density of sodium aluminosilicate melts along the NaAlSiO4-NaAlSi3O8 join at high pressure: in-situ measurements and re-calibration of a modified hard-sphere equation of state for silicate melts"

description: Data associated with the manuscript "Density of sodium aluminosilicate melts along the NaAlSiO4-NaAlSi3O8 join at high pressure: in-situ measurements and re-calibration of a modified hard-sphere equation of state for silicate melts", submitted to Journal of Geophysical Research-Solid Earth (JGR-SE).
DOI: 10.17632/gr892kdjt5.1
title: Data for "Density of sodium aluminosilicate melts along the NaAlSiO4-NaAlSi3O8 join at high pressure: in-situ measurements and re-calibration of a modified hard-sphere equation of state for silicate melts"

description: Data associated with the manuscript "Density of sodium aluminosilicate melts along the NaAlSiO4-NaAlSi3O8 join at high pressure: in-situ measurements and re-calibration of a modified hard-sphere equation of state for silicate melts", submitted to Journal of Geophysical Research-Solid Earth (JGR-SE).
DOI: 10.3886/e242232
title: Nigerian Army University, Biu 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Nigerian Army University, Biu 2026/2027 Pre-Degree Form, Part-time Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.60686/t-fsd3983
title: FSD3983 Users' Perceptions of Patient Safety Incident Reporting Software 2024
DOI: 10.17632/w7yprj8864
title: Assessment of Tumor infiltrating lymphocytes (TILs) in breast biopsy, an alternate proposal to avoid sentinel lymph node biopsy

description: The dataset was generated during the study "Assessment of Tumor infiltrating lymphocytes (TILs) in breast biopsy, an alternate proposal to 
avoid sentinel lymph node biopsy; 2 year institutional study" conducted by Saurabh Goswami et al.
DOI: 10.17632/w7yprj8864.1
title: Assessment of Tumor infiltrating lymphocytes (TILs) in breast biopsy, an alternate proposal to avoid sentinel lymph node biopsy

description: The dataset was generated during the study "Assessment of Tumor infiltrating lymphocytes (TILs) in breast biopsy, an alternate proposal to 
avoid sentinel lymph node biopsy; 2 year institutional study" conducted by Saurabh Goswami et al.
DOI: 10.17632/j79gsnnsfd
title: Data and Code for Monitoring the Monitors: How Environmental Information Shapes Bureaucratic Incentives in China

description: This package contains the code to build the sample in Stata format and to generate the figure(s) and tables in the paper.
DOI: 10.17632/j79gsnnsfd.1
title: Data and Code for Monitoring the Monitors: How Environmental Information Shapes Bureaucratic Incentives in China

description: This package contains the code to build the sample in Stata format and to generate the figure(s) and tables in the paper.
DOI: 10.17632/6m76ftmyv9
title: UMath - Dataset of Mathematical Terminology

description: As part of the study, a dataset of mathematical words, phrases and terminology in the Uzbek language was formed.
1) This dataset contains 1740 unique words and terms in mathematics.
2) A distinctive feature of the dataset is that the words and terms in it have a weighting coefficient for each of the five mathematical areas (Discrete Mathematics, Geometry, Probability Theory, Differential Equations, Higher Mathematics).
3) The penultimate column of the dataset contains the English translation of this word.
4) The pre-last (8th) column of the dataset contains information on the part of speech to which this word belongs.
5) The last column contains information about source (name of the book's author) where the each term was extracted:
S.Alixonov: S.Alixonov, Matematika o'qitish metodikasi fanidan o'quv darslik (Textbook on mathematics teaching methods), Toshkent 2011.
A_Narmanov: A.Y. N A R M A N O V, ANALITIK GEOMETRIYA fanidan o'quv darslik (Textbook on ANALYTICAL GEOMETRY), Toshkent 2008.
A_Hasanov: A.B.Hasanov, ODDIY DIFFERENSIAL TENGLAMALAR NAZARIYASIGA O'quv qo'llanma (English translation: Textbook on the theory of ordinary differential equations), Samarkand 2019.
A_Abdushukurov: A.A.Abdushukurov, EHTIMOLLAR NAZARIYASI VA MATEMATIK STATISTIKA faniga O'quv qo'llanma (Textbook for PROBABILITY THEORY AND MATHEMATICAL STATISTICS), Toshkent 2010.


Upd: It should be noted that according to the Uzbekistan's copyright law (Articles 37, 41, 42), individual words and short phrases are not protected by copyright.
DOI: 10.17632/6m76ftmyv9.4
title: UMath - Dataset of Mathematical Terminology

description: As part of the study, a dataset of mathematical words, phrases and terminology in the Uzbek language was formed.
1) This dataset contains 1740 unique words and terms in mathematics.
2) A distinctive feature of the dataset is that the words and terms in it have a weighting coefficient for each of the five mathematical areas (Discrete Mathematics, Geometry, Probability Theory, Differential Equations, Higher Mathematics).
3) The penultimate column of the dataset contains the English translation of this word.
4) The pre-last (8th) column of the dataset contains information on the part of speech to which this word belongs.
5) The last column contains information about source (name of the book's author) where the each term was extracted:
S.Alixonov: S.Alixonov, Matematika o'qitish metodikasi fanidan o'quv darslik (Textbook on mathematics teaching methods), Toshkent 2011.
A_Narmanov: A.Y. N A R M A N O V, ANALITIK GEOMETRIYA fanidan o'quv darslik (Textbook on ANALYTICAL GEOMETRY), Toshkent 2008.
A_Hasanov: A.B.Hasanov, ODDIY DIFFERENSIAL TENGLAMALAR NAZARIYASIGA O'quv qo'llanma (English translation: Textbook on the theory of ordinary differential equations), Samarkand 2019.
A_Abdushukurov: A.A.Abdushukurov, EHTIMOLLAR NAZARIYASI VA MATEMATIK STATISTIKA faniga O'quv qo'llanma (Textbook for PROBABILITY THEORY AND MATHEMATICAL STATISTICS), Toshkent 2010.


Upd: It should be noted that according to the Uzbekistan's copyright law (Articles 37, 41, 42), individual words and short phrases are not protected by copyright.
DOI: 10.17632/jz48h2gc46
title: Sandtray Dataset

description: This dataset originates from a digital psychological sandplay platform designed for therapeutic and research purposes. It includes three interrelated components:
Sandtray Images: High-resolution snapshots automatically saved by the sanplay platform at the end of each sandplay session, fully presenting the final layout of the sandtray. These images preserve key visual characteristics, including color palette, spatial layout, and holistic composition.
Operation-Process/Sequence Logs: Structured time-series records documenting user interactions during the session. Each log entry contains timestamps (handleTime), operation types (handleType), manipulated objects/miniatures (handleObj), and 3D spatial coordinates (currentPosX, currentPosY, currentPosZ), among others.
Semantic Annotations of Sandtray Miniatures: Expert-derived textual descriptions capturing the psychological symbolism of each miniature used in the platform. These annotations are grounded in established sandplay theory and clinical interpretation. For instance, Buddha symbolizes inner peace, compassion, and spiritual integration; Skull, evokes themes of mortality, loss, danger, or existential anxiety; Yama (King of Hell) reflects intense emotions such as guilt, retribution, or suppressed anger.
The dataset consists of 6,208 sandtray samples, with 1,548 positive samples and 537 negative samples. In the id_label.csv file, sp-id is the sandtray ID, label is the annotation corresponding to the sandtray, where 0 represents unlabeled samples, 1 represents abnormal samples, and 2 represents normal samples.
All data are collected with informed consent under ethical guidelines for psychological research. The dataset is intended for non-clinical, research-oriented applications in computational psychology, affective computing, and mental health. Identifiable personal information has been removed or anonymized to protect participant privacy.
DOI: 10.17632/jz48h2gc46.1
title: Sandtray Dataset

description: This dataset originates from a digital psychological sandplay platform designed for therapeutic and research purposes. It includes three interrelated components:
Sandtray Images: High-resolution snapshots automatically saved by the sanplay platform at the end of each sandplay session, fully presenting the final layout of the sandtray. These images preserve key visual characteristics, including color palette, spatial layout, and holistic composition.
Operation-Process/Sequence Logs: Structured time-series records documenting user interactions during the session. Each log entry contains timestamps (handleTime), operation types (handleType), manipulated objects/miniatures (handleObj), and 3D spatial coordinates (currentPosX, currentPosY, currentPosZ), among others.
Semantic Annotations of Sandtray Miniatures: Expert-derived textual descriptions capturing the psychological symbolism of each miniature used in the platform. These annotations are grounded in established sandplay theory and clinical interpretation. For instance, Buddha symbolizes inner peace, compassion, and spiritual integration; Skull, evokes themes of mortality, loss, danger, or existential anxiety; Yama (King of Hell) reflects intense emotions such as guilt, retribution, or suppressed anger.
The dataset consists of 6,208 sandtray samples, with 1,548 positive samples and 537 negative samples. In the id_label.csv file, sp-id is the sandtray ID, label is the annotation corresponding to the sandtray, where 0 represents unlabeled samples, 1 represents abnormal samples, and 2 represents normal samples.
All data are collected with informed consent under ethical guidelines for psychological research. The dataset is intended for non-clinical, research-oriented applications in computational psychology, affective computing, and mental health. Identifiable personal information has been removed or anonymized to protect participant privacy.