cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/thmkcsbg53
title: Outcomes after Prostate Artery Embolization

description: Data was retrospectively curated via chart review over 9 years, and includes outcomes for patients undergoing Prostate Artery Embolization from January 2014 to March 2023. This is the most updated version of the dataset. All possible patient identifiers have been removed in accordance with HIPAA and privacy policy.
DOI: 10.17632/thmkcsbg53.1
title: Outcomes after Prostate Artery Embolization

description: Data was retrospectively curated via chart review over 9 years, and includes outcomes for patients undergoing Prostate Artery Embolization from January 2014 to March 2023. This is the most updated version of the dataset. All possible patient identifiers have been removed in accordance with HIPAA and privacy policy.
DOI: 10.22000/yycc3s2ycgxb2sv0
title: Dataset for "Enantioselective Intramolecular C-H Alkylation Catalyzed by a Nonsymmetric Chiral Cobalt Porphyrin"

description: The dataset comprises analytical data for the characterization of the synthesized compounds and computational studies.
DOI: 10.17632/kzkr46wjvn.1
title: Receiver functions of an NWW-trending short-period dense array and several temporary broadband seismic stations across the Western Yangtze Craton

description: Receiver functions of an NWW-trending short-period dense array and several temporary broadband seismic stations across the Western Yangtze Craton
DOI: 10.17632/9cpcp5nsns
title: Cr+Se

description: The Effects of Hexavalent Chromium on Zebrafish Larvae and the Protective Role of Selenomethionine
DOI: 10.15468/dl.s8vk96
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zannichellia palustris",
 "Year 1970-2000"
 ]
}

 The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069085-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9cpcp5nsns.1
title: Cr+Se

description: The Effects of Hexavalent Chromium on Zebrafish Larvae and the Protective Role of Selenomethionine
DOI: 10.17632/d39tfvjj48
title: Replication package for “Rule-of-Law Digital Government and Corporate Social Responsibility Governance in Digital Firms: Evidence from China”

description: This replication package contains the data and Stata code required to reproduce the empirical results reported in the manuscript “Rule-of-Law Digital Government and Corporate Social Responsibility Governance in Digital Firms: Evidence from China.” The package includes (i) the core firm-year dataset used as the merge backbone, (ii) auxiliary raw component datasets used to construct controls and additional measures, (iii) datasets for robustness checks, heterogeneity analyses, mechanism tests, and instrumental-variable specifications, and (iv) a master Stata do-file that performs the merges, data cleaning (including winsorization and variable generation), and estimation.

Key external data sources include CSMAR (China Stock Market & Accounting Research Database), Huazheng ESG ratings (official website: https://www.chindices.com/esg-ratings.html), Bloomberg ESG score (https://www.bloombergchina.com/solution/sustainable-finance/
), and official Chinese statistical yearbooks (National Bureau of Statistics of China: https://www.stats.gov.cn/
). Some inputs (e.g., policy indicators and selected historical exposure measures) are hand-collected from official policy documents and historical materials; the resulting variables are provided in the deposited datasets.

A detailed README is included in the files and documents the contents, variable construction notes, and reproduction steps.
DOI: 10.17632/d39tfvjj48.2
title: Replication package for “Rule-of-Law Digital Government and Corporate Social Responsibility Governance in Digital Firms: Evidence from China”

description: This replication package contains the data and Stata code required to reproduce the empirical results reported in the manuscript “Rule-of-Law Digital Government and Corporate Social Responsibility Governance in Digital Firms: Evidence from China.” The package includes (i) the core firm-year dataset used as the merge backbone, (ii) auxiliary raw component datasets used to construct controls and additional measures, (iii) datasets for robustness checks, heterogeneity analyses, mechanism tests, and instrumental-variable specifications, and (iv) a master Stata do-file that performs the merges, data cleaning (including winsorization and variable generation), and estimation.

Key external data sources include CSMAR (China Stock Market & Accounting Research Database), Huazheng ESG ratings (official website: https://www.chindices.com/esg-ratings.html), Bloomberg ESG score (https://www.bloombergchina.com/solution/sustainable-finance/
), and official Chinese statistical yearbooks (National Bureau of Statistics of China: https://www.stats.gov.cn/
). Some inputs (e.g., policy indicators and selected historical exposure measures) are hand-collected from official policy documents and historical materials; the resulting variables are provided in the deposited datasets.

A detailed README is included in the files and documents the contents, variable construction notes, and reproduction steps.
DOI: 10.57760/sciencedb.34519
title: How Surface Governs Vibration-Induced Degradation of Glass Structure: A View from Molecular Dynamics
title: How Surface Governs Vibration-Induced Degradation of Glass Structure: A View from Molecular Dynamics

description: Silica glass has been widely used in various fields, including optics, manufacturing, and aerospace, due to its excellent properties. However, mechanical fields encountered during services will lead to the performance degradation or even failure. These remain not fully understood due to the limitations of experimental techniques and the disordered structures of glass and their complex responses. In this study, characteristics of structural responses and evolution mechanisms under the vibration field are systematically analyzed through MD simulations. Fourier transform of the RMSD, as well as the reduced pair distribution function, G(r), have been applied to analyze the glass structure. In addition, the vibration field can induce significant alterations to the structural order, especially for the surface models. These changes manifest as the enhanced high-frequency vibrations, loosened local structures, and rearranged ring topologies, leading to progressive order degradation within the network. This study provides an insight into structural transformations in glass under complex mechanical environments.
description: Silica glass has been widely used in various fields, including optics, manufacturing, and aerospace, due to its excellent properties. However, mechanical fields encountered during services will lead to the performance degradation or even failure. These remain not fully understood due to the limitations of experimental techniques and the disordered structures of glass and their complex responses. In this study, characteristics of structural responses and evolution mechanisms under the vibration field are systematically analyzed through MD simulations. Fourier transform of the RMSD, as well as the reduced pair distribution function, G(r), have been applied to analyze the glass structure. In addition, the vibration field can induce significant alterations to the structural order, especially for the surface models. These changes manifest as the enhanced high-frequency vibrations, loosened local structures, and rearranged ring topologies, leading to progressive order degradation within the network. This study provides an insight into structural transformations in glass under complex mechanical environments.
DOI: 10.57760/sciencedb.34544
title: New palaeoscolecidian worms from the Lower Ordovician Madaoyu Formation with specialised morphological characters and functional morphology
title: New palaeoscolecidian worms from the Lower Ordovician Madaoyu Formation with specialised morphological characters and functional morphology

description: A new non-mineralised fauna was recently discovered in the Lower Ordovician Madaoyu Formation near Liexi Township, West Hunan Province, South China. Diverse animals are preserved in a thin layer of siltstone interbedded within the limestone. The most peculiar group among this new Fauna is a large quantity of palaeoscolecidan worms with multiple instars, which are only represented by trunks without any other soft tissues such as the introvert, pharynx, and intestine being preserved. The unique characteristic of these worms are that they have a dorsal-ventral differentiation of plates, which are arranged in longitudinal lines, this suggests that the worms probably were exquisite bottom crawlers. The palaeoscolecidans are uniform in morphology and attributed to a new genus and species, Liexiscolex hunanensis Liu & Huang, gen. et sp. nov. This discovery not only enriches our knowledge of the anatomy and palaeoecology but also helps us understand the evolution of palaeoscolecidan worms. Furthermore, it provides a better comprehension of the Lower Ordovician Liexi fauna in South China.
description: A new non-mineralised fauna was recently discovered in the Lower Ordovician Madaoyu Formation near Liexi Township, West Hunan Province, South China. Diverse animals are preserved in a thin layer of siltstone interbedded within the limestone. The most peculiar group among this new Fauna is a large quantity of palaeoscolecidan worms with multiple instars, which are only represented by trunks without any other soft tissues such as the introvert, pharynx, and intestine being preserved. The unique characteristic of these worms are that they have a dorsal-ventral differentiation of plates, which are arranged in longitudinal lines, this suggests that the worms probably were exquisite bottom crawlers. The palaeoscolecidans are uniform in morphology and attributed to a new genus and species, Liexiscolex hunanensis Liu & Huang, gen. et sp. nov. This discovery not only enriches our knowledge of the anatomy and palaeoecology but also helps us understand the evolution of palaeoscolecidan worms. Furthermore, it provides a better comprehension of the Lower Ordovician Liexi fauna in South China.
DOI: 10.57760/sciencedb.34495
title: 2023 Arctic daily 25km sea ice drift product (v1.0 version)
title: 2023年北极逐日25km海冰漂移数据集（v1.0版本）

description: The "2023 Daily 25 km Arctic Sea Ice Drift Product (Version 1.0)" provides the daily 25 km Arctic sea ice drift for the year 2023. This product is stored in netCDF (.nc) format. The netCDF file comprises five variables: the projected coordinate system of this product (EPSG: 3408), the geographic location of each grid cell (defined by its X and Y coordinates within the projected coordinate system), and the sea ice velocities in the X and Y directions (units: km/day) for each grid cell within that coordinate system. Specifically, the X coordinate for each grid is a one-dimensional matrix indexed by column number j, while the Y coordinate is a one-dimensional matrix indexed by row number i. The sea ice velocities in both the X and Y directions are three-dimensional matrices indexed by (day_of_year, i, j), where day_of_year indicates the day of the year 2023 on which the drift measurement began.The product was produced using 89 GHz brightness temperature data from the Microwave Radiation Imager (MWRI) aboard the Fengyun-3D satellite. The production process primarily involves three steps: first, processing the raw MWRI swath data into gridded brightness temperature images of the Arctic; second, retrieving sea ice drift vectors by applying the maximum cross-correlation method combined with sub-pixel image matching techniques; and finally, removing potentially erroneous drift vectors based on neighborhood consistency checks.
description: The "2023 Daily 25 km Arctic Sea Ice Drift Product (Version 1.0)" provides the daily 25 km Arctic sea ice drift for the year 2023. This product is stored in netCDF (.nc) format. The netCDF file comprises five variables: the projected coordinate system of this product (EPSG: 3408), the geographic location of each grid cell (defined by its X and Y coordinates within the projected coordinate system), and the sea ice velocities in the X and Y directions (units: km/day) for each grid cell within that coordinate system. Specifically, the X coordinate for each grid is a one-dimensional matrix indexed by column number j, while the Y coordinate is a one-dimensional matrix indexed by row number i. The sea ice velocities in both the X and Y directions are three-dimensional matrices indexed by (day_of_year, i, j), where day_of_year indicates the day of the year 2023 on which the drift measurement began.The product was produced using 89 GHz brightness temperature data from the Microwave Radiation Imager (MWRI) aboard the Fengyun-3D satellite. The production process primarily involves three steps: first, processing the raw MWRI swath data into gridded brightness temperature images of the Arctic; second, retrieving sea ice drift vectors by applying the maximum cross-correlation method combined with sub-pixel image matching techniques; and finally, removing potentially erroneous drift vectors based on neighborhood consistency checks.
DOI: 10.17632/9d77352dcf.1
title: Dual-Location Smartphone IMU Human Activity Recognition Dataset (Hand & Ankle, 60s Trials)

description: This dataset was created to study smartphone-based Human Activity Recognition (HAR) using raw inertial signals recorded at two common body locations (hand and ankle). The working hypothesis is that longer, continuous recordings (approximately 60 seconds per activity) and multi-sensor fusion (accelerometer, gyroscope, magnetometer) provide richer temporal and biomechanical signatures that improve activity classification, and that non-linear ensemble models capture these relationships more effectively than linear classifiers.
What the data contains
• Raw sensor streams exported as CSV files from a smartphone IMU logger (Phyphox).
• Each trial typically includes three separate CSV files: accelerometer, gyroscope, and magnetometer.
• Each CSV contains a time column (seconds) and tri-axial measurements (X, Y, Z) with sensor-specific units.
• Two placement conditions are included: hand-held and ankle/foot-mounted.
• Ground-truth labels correspond to six daily activities; labels may be encoded jointly with placement (e.g., Walking_Hand, Walking_Foot) to form a 12-class setup.
How the data was gathered
• Participants performed each activity for approximately 60 seconds per placement.
• Recordings were made in real time using a standard smartphone and the Phyphox application, then exported to CSV.
• Participants were anonymized; the study followed a minimal-risk, non-invasive protocol with informed consent.
How to interpret and use the data
• Use the time column as the temporal index for each sensor stream.
• For multi-sensor modeling, align streams by time and merge accelerometer, gyroscope, and magnetometer to form a 9-channel signal (Acc/Gyro/Mag × X/Y/Z).
• For window-based learning, segment continuous signals with overlapping sliding windows (e.g., 150 samples per window, stride 100 samples).
• If using classical ML, compute window-level statistical features (mean, standard deviation, min, max, range, and signal energy) for each channel; this yields 54 features per placement (9 channels × 6 statistics), or 108 features when concatenating hand and ankle features (feature-level fusion).
DOI: 10.57760/sciencedb.34574
title: Fault Tolerance Control System for Quadcopter
title: Fault Tolerance Control System for Quadcopter

description: This data includes all simulation results, hardware implementation videos, and all experimental data for the reviewers.
description: This data includes all simulation results, hardware implementation videos, and all experimental data for the reviewers.
DOI: 10.15468/dl.an34c6
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus semecarpifolia"
 ]
}

 The dataset includes 507 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069086-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n2ry7ctjrw
title: Ya-long Liu. Objective and subjective sleep quality and diminished ovarian reserve in women of reproductive age: a cross-sectional study.

description: SUPPLEMENTAL TABLES
Objective and subjective sleep quality and diminished ovarian reserve in women of reproductive age: a cross-sectional study.
DOI: 10.17632/n2ry7ctjrw.1
title: Ya-long Liu. Objective and subjective sleep quality and diminished ovarian reserve in women of reproductive age: a cross-sectional study.

description: SUPPLEMENTAL TABLES
Objective and subjective sleep quality and diminished ovarian reserve in women of reproductive age: a cross-sectional study.
DOI: 10.17632/wzhp4gcmfk.1
title: Mg-Gd-Y-Zn-Zr Alloys Fabricated by CMT Arc Additive Manufacturing：Processing, microstructure refinement and property analysis

description: A CMT welding simulation was carried out in ANSYS Fluent. The simulation was completed through UDF programming combined with GUI-based operations. A case file has been uploaded to the database; users can download it and reproduce the results presented in the paper using the material parameters provided in the database.In this study, the mechanism of strength–ductility synergy in CMT arc additively manufactured Mg–Gd–Y–Zn–Zr alloys was clarified. At a wire feeding speed of 14 m/min, high heat input enhanced molten-pool flow and stirring, enabling bubble escape and nearly eliminating porosity. Meanwhile, increased heat input dispersed agglomerated Zr particles into the pool, providing abundant heterogeneous nucleation sites and causing abnormal grain refinement (~6.32 μm) despite a lower cooling rate. As a result, the alloy achieved 328 MPa UTS and 7.27% elongation, attributed to reduced pores, grain-refinement strengthening, basal slip activation, and continuous twinning.
DOI: 10.15468/dl.3tug9r
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.19649 41.22494,13.72972 41.23206,13.72423 41.51365,13.1887 41.50646,13.19649 41.22494))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hippotion celerio",
 "Year 1990-2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069087-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bs3v3whf8b
title: IDOL Exacerbates Cerebral ischemia/reperfusion injury by down-regulating LDLR expression in mice

description: Low-density lipoprotein receptor (LDLR) is crucial in regulating cholesterol metabolism. LDLR decreases cholesterol levels through receptor-mediated endocytosis. Inducible degrader of LDLR (IDOL) inhibits the uptake of low-density lipoprotein (LDL) by down-regulating the expression of LDLR, which leads to hypercholesterolemia. Research has demonstrated that the development of cerebral ischemia/reperfusion injury (CI/RI) is associated with elevated cholesterol levels in the brain. Our results showed that compared to normal mice, IDOL was highly expressed, and the expression of LDLR was significantly decreased in the MCAO mice. Knockout of IDOL can downregulate the expression of LDLR, upregulate the expression of Apolipoprotein E (ApoE) and Caspase-3, promote the occurrence of neuroinflammation and cell apoptosis in the MCAO mice, and play a particular protective role in CI/RI mice.
DOI: 10.17632/bs3v3whf8b.2
title: IDOL Exacerbates Cerebral ischemia/reperfusion injury by down-regulating LDLR expression in mice

description: Low-density lipoprotein receptor (LDLR) is crucial in regulating cholesterol metabolism. LDLR decreases cholesterol levels through receptor-mediated endocytosis. Inducible degrader of LDLR (IDOL) inhibits the uptake of low-density lipoprotein (LDL) by down-regulating the expression of LDLR, which leads to hypercholesterolemia. Research has demonstrated that the development of cerebral ischemia/reperfusion injury (CI/RI) is associated with elevated cholesterol levels in the brain. Our results showed that compared to normal mice, IDOL was highly expressed, and the expression of LDLR was significantly decreased in the MCAO mice. Knockout of IDOL can downregulate the expression of LDLR, upregulate the expression of Apolipoprotein E (ApoE) and Caspase-3, promote the occurrence of neuroinflammation and cell apoptosis in the MCAO mice, and play a particular protective role in CI/RI mice.
DOI: 10.17632/2th8jvft8f.1
title: Karakalpak Speech Corpus

description: The Karakalpak Speech Corpus is the first large-scale, publicly available speech-to-text dataset for the Karakalpak language, designed to support the development, evaluation, and benchmarking of automatic speech recognition (ASR) systems for this low-resource Turkic language.

Research hypothesis

The core hypothesis behind this dataset is that high-quality, carefully curated speech–text pairs, even at moderate scale, can enable state-of-the-art self-supervised models (such as Wav2Vec 2.0) to achieve strong recognition performance for low-resource languages.
By providing sufficient phonetic, lexical, and speaker diversity, the corpus aims to bridge the data gap that has historically limited Karakalpak speech technology.

What the data contains

The dataset consists of:

Speech recordings in WAV format (16 kHz, 16-bit PCM)

Manually verified transcriptions in standard Karakalpak Latin orthography

Speaker-independent splits for training, validation, and testing

Each audio file corresponds to a single utterance, making the corpus suitable for end-to-end ASR, forced alignment, pronunciation modeling, and acoustic analysis.

The recordings include:

Read speech

Conversational and narrative sentences

Phonetically rich word sequences

Numbers, commands, and daily expressions

This ensures broad coverage of Karakalpak phonology, morphology, and vocabulary.

How the data was gathered

The corpus was collected from native Karakalpak speakers under controlled recording conditions.
All recordings were made in quiet indoor environments using consumer-grade microphones and laptops at 16 kHz. Speakers were instructed to read predefined texts clearly and naturally.

All transcriptions were manually checked and normalized to remove spelling inconsistencies, Unicode artifacts, and non-Karakalpak characters.
This results in a clean and reproducible linguistic representation of spoken Karakalpak.

What the data shows

The dataset demonstrates that:

Karakalpak phonemes and special letters (á, ó, ú, ı, ń, ś, ǵ) can be reliably captured and modeled

A consistent orthography and vocabulary can be established for ASR training

Speaker-independent evaluation is feasible

When used to fine-tune Wav2Vec 2.0 models, the corpus produces low word error rates (WER) and character error rates (CER), confirming that the dataset contains sufficient acoustic and linguistic information for high-quality speech recognition.