cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2h9r4q
title: CCDC 2303273: Experimental Crystal Structure Determination

description: Related Article: Sreela Ramesh, Eliška Skořepová, Monika Kučeráková, Vit Zvonicek, Miroslav Soos|2025|CSD Communication|||
description: Related Article: Sreela Ramesh, Eliška Zmeškalová, Monika Kučeráková, Vít Zvoníček, Miroslav Šoóš|2025|CrystEngComm|27|1026|doi:10.1039/D4CE01278J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jss8d
title: CCDC 2347514: Experimental Crystal Structure Determination

description: Related Article: Sreela Ramesh, Eliška Skořepová, Monika Kučeráková, Vit Zvonicek, Miroslav Soos|2025|CSD Communication|||
description: Related Article: Sreela Ramesh, Eliška Zmeškalová, Monika Kučeráková, Vít Zvoníček, Miroslav Šoóš|2025|CrystEngComm|27|1026|doi:10.1039/D4CE01278J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kml4y
title: CCDC 2372310: Experimental Crystal Structure Determination

description: Related Article: Sreela Ramesh, Eliska Skorepova, Miroslav Soos|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h9r5r
title: CCDC 2303274: Experimental Crystal Structure Determination

description: Related Article: Sreela Ramesh, Eliška Skořepová, Monika Kučeráková, Vit Zvonicek, Miroslav Soos|2025|CSD Communication|||
description: Related Article: Sreela Ramesh, Eliška Zmeškalová, Monika Kučeráková, Vít Zvoníček, Miroslav Šoóš|2025|CrystEngComm|27|1026|doi:10.1039/D4CE01278J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l613z
title: CCDC 2389080: Experimental Crystal Structure Determination

description: Related Article: Liu Feng|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2l7sd1
title: CCDC 2390763: Experimental Crystal Structure Determination

description: Related Article: Qiannan Xiao, Shulei Hu, Feifei Fang, Mengdi Yan, Shurui Zhang, Yiting Liu, Hong Liu, Dechuan Wang, Jiang Wang|2025|J.Org.Chem.|90|5419|doi:10.1021/acs.joc.4c03110
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.5ewxt9
title: Occurrence Download

description: A dataset containing 6661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Emberiza cirlus Linnaeus, 1767",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6661 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018484-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2l7t4t
title: CCDC 2390786: Experimental Crystal Structure Determination

description: Related Article: Qiannan Xiao, Shulei Hu, Feifei Fang, Mengdi Yan, Shurui Zhang, Yiting Liu, Hong Liu, Dechuan Wang, Jiang Wang|2025|J.Org.Chem.|90|5419|doi:10.1021/acs.joc.4c03110
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lbsj8
title: CCDC 2393650: Experimental Crystal Structure Determination

description: Related Article: Liu Feng|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lyfnn
title: CCDC 2411572: Experimental Crystal Structure Determination

description: Related Article: Cunzhi Chen, Youwei Chen, Hongguang Du, Jiaxi Xu, Zhanhui Yang|2025|Org.Lett.|27|4337|doi:10.1021/acs.orglett.5c01067
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m4th3
title: CCDC 2417705: Experimental Crystal Structure Determination

description: Related Article: Bin Zhang|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m4v4s
title: CCDC 2417725: Experimental Crystal Structure Determination

description: Related Article: Kuai Wang|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.29uhbg
title: Occurrence Download

description: A dataset containing 852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protura",
 "Year is greater than or equal to 1990",
 "Continent is Europe"
 ]
}

 The dataset includes 852 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018485-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ph7c5s
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphyla",
 "Year is greater than or equal to 1990",
 "Continent is Europe"
 ]
}

 The dataset includes 916 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018486-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ywkpdg58c3.1
title: Data for: The textual similarity of news content and stock return synchronicity

description: This dataset accompanies the study “The textual similarity of news content and stock return synchronicity”, which investigates how the homogeneity of news narratives across firms relates to the synchronicity of their stock returns. Our research hypothesis posits that higher textual similarity in firm-specific news leads to greater stock return synchronicity, as more uniform information reduces firm-specific variation in investor beliefs and trading behavior.

The data includes firm-level measures of news textual similarity and stock return synchronicity for publicly listed firms, covering the period from 2013 to 2022. Textual similarity is computed using cosine similarity scores derived from TF-IDF representations of firm-specific news articles collected from reputable financial news sources. We preprocess the news content by removing stop words and applying standard tokenization and lemmatization procedures. News articles are grouped by firm and time period, and similarity is measured against a rolling market-wide benchmark. The original news text, stock trade data, and accounting data used in this study are sourced from the China Stock Market and Accounting Research (CSMAR) database, while the textual tone of MD&A is sourced from the Chinese Research Data Services Platform (CNRDS). The news sources include both traditional paper media and internet media. The sample removes records: (i) financial firms, (ii) firms listed for less than one year, and (iii) firms with missing values for control variables. After filtering, our final sample comprises 82,215 observations covering 4,102 firms. 

Stock return synchronicity is quantified using the R² statistic from a market model regression, following established literature, where a higher R² indicates stronger co-movement with the market and weaker firm-specific return variation.

Our data show a robust positive correlation between news similarity and stock return synchronicity, even after controlling for firm fundamentals, media coverage volume, and other confounding factors. This finding suggests that uniform media narratives can reduce the information diversity available to investors, contributing to higher return co-movement.

This dataset includes:
ASVImonthly.dta
base_data.dta
BellWether_Newsprop.dta
DisAcc.dta
isAnnoym.dta
NewsNumlarge8ym.dta
numAholder_yq.dta
ReportSim_ym.dta
Rmkt.dta
sigma_mkt.dta
Stkcd_ym_NewsTone.dta
Topic_wordscomovement.dta
yearMDATone.dta
ymChinaNewsBasedEPU.dta
ymCICSI.dta

The data can be used to explore information diffusion, media effects in financial markets, and the mechanisms behind co-movement in asset prices. Researchers replicating or extending this work can match the firm identifiers and timestamps with other financial databases such as CSMAR or CNRDS.
DOI: 10.17632/b4wpjbttbh.1
title: From Cultural Self-Awareness to New Liberal Arts: The Development of Cultural Awareness Scale Based on Chinese Graphic Design Education

description: This study developed the Cultural Self-Awareness Scale (CSAS) based on graphic design to address the lack of cultural awareness assessment tools in art and design field, providing a reference for the cultivation and evaluation of cultural awareness in the field. This instrument consists of two parts, the first part is cultural understanding and learning characteristics with single-choice questions. The first part involves Part A: Basic Status (A01-A07) and Part B: Learning Status (B08-B14). The second part is the Cultural Self-Awareness Scale (CSAS), a 5-point Likert scale according to the level of agreement (1 = strongly disagree; 5 = strongly agree). The scale (C15-C41) is constructed based on Fei Xiaotong's theory of Cultural Self-Awareness (CSA) and involves five dimensions: Cultural Cognition, Cultural Identity, Cultural Reflection, Cultural Comparison, and Cultural Innovation. The file is the original data for the above two parts of the survey instrument.
DOI: 10.5281/zenodo.15351321
title: Optical Fiber System for Precise Cryogenic Spectroscopy of 2D Materials
DOI: 10.5281/zenodo.15351322
title: Optical Fiber System for Precise Cryogenic Spectroscopy of 2D Materials
DOI: 10.17632/sctxx6w7bg.1
title: Original WB images

description: Uncropped images of original western blotting
DOI: 10.17632/2fgwp3p2ym
title: A Novel Machine Learning Method to Optimize the Joint Operation of Sluice and Pump to Restore Ecological Flow Velocity of Canal Network in Polder Areas

description: Low-lying polder areas, formed through natural sediment deposition and human activities, face significant challenges in maintaining ecological flow velocity due to their enclosed hydrological systems.
DOI: 10.17632/2fgwp3p2ym.1
title: A Novel Machine Learning Method to Optimize the Joint Operation of Sluice and Pump to Restore Ecological Flow Velocity of Canal Network in Polder Areas

description: Low-lying polder areas, formed through natural sediment deposition and human activities, face significant challenges in maintaining ecological flow velocity due to their enclosed hydrological systems.
DOI: 10.17632/nz9jjc2pkk
title: Supplementary Materials

description: Supplementary Materials include five tables and one figure: Tables S1-S5 provide physicochemical properties, promoter cis-element statistics, primer lists, raw graph data, and phylogenetic protein sequences of HaPLATZ genes; Figure S1 displays E-values and sequence logos of conserved motifs. Data are submitted in Excel/Word/JPG formats and cited as "Table S1" or "Figure S1" in the main text.
DOI: 10.17632/nz9jjc2pkk.1
title: Supplementary Materials

description: Supplementary Materials include five tables and one figure: Tables S1-S5 provide physicochemical properties, promoter cis-element statistics, primer lists, raw graph data, and phylogenetic protein sequences of HaPLATZ genes; Figure S1 displays E-values and sequence logos of conserved motifs. Data are submitted in Excel/Word/JPG formats and cited as "Table S1" or "Figure S1" in the main text.
DOI: 10.17632/zwjsbjhxhd.1
title: robotaxi_senti_178k

description: The search keywords were “Apollo Go,” a well-known autonomous taxi service operator in China. The data collection spanned from May 2022 to August 2024, during which 177,890 relevant comments were scraped from five major Chinese social media platforms: Bilibili (43,038 comments), Douyin (69,755 comments), Kuaishou (39,903 comments), Xiaohongshu (23,409 comments), and Weibo (1,785 comments).The collected data include detailed information such as comment time, comment content, user nickname, user location, and publishing platform.
DOI: 10.17632/869p5bgj9m.1
title: Zombie Firms in Network: Congestion and Evergreening

description: Please read the README_file.pdf for instructions.
DOI: 10.17632/869p5bgj9m.2
title: Zombie Firms in Network: Congestion and Evergreening

description: Please read the README_file.pdf for instructions.
DOI: 10.17632/vws92d8zjn
title: Unraveling the control of magmatic volatiles on Cu and Mo mineralization in porphyry systems

description: Supplementary material includes the whole-rock major and trace element data (Tables S1), LA-ICP-MS zircon trace element data (Table S2), apatite compositions (Table S3), and 207Pb-corrected 206Pb/238U ages of selected zirocons from the SNCC (Table S4),
DOI: 10.17632/vws92d8zjn.1
title: Unraveling the control of magmatic volatiles on Cu and Mo mineralization in porphyry systems

description: Supplementary material includes the whole-rock major and trace element data (Tables S1), LA-ICP-MS zircon trace element data (Table S2), apatite compositions (Table S3), and 207Pb-corrected 206Pb/238U ages of selected zirocons from the SNCC (Table S4),
DOI: 10.17632/nbnckvsb89.1
title: Food Environment

description: Food environmental assessment using NEMS-S and NEMS-R
DOI: 10.5281/zenodo.15199471
title: Dataset for Observations of Wave Energy Dissipation by Bottom Friction on Rocky Shores

description: This repositoy has the dataset for the scientific paper entitled Observations of Wave Energy Dissipation by Bottom Friction on Rocky Shores, accepted for publication in the Journal of Physical Oceanography (JPO). This work analysed an extensive dataset from in-situ instruments deployed as part of the 2022 experiment of the ROXSI project (ROcky shores eXperiments and SImulation). In-situ instruments were deployed for about 1 month at two rocky shores on the Monterey Peninsula, where most instruments were deployed between the shoreline and a bottom depth of ~15 m.

In particular, this work estimated sea-swell wave dissipation by bottom friction and the associated wave friction factors $f_e$. The observed $f_e$. typically varies between 1 and 10, and are amongst the largest friction factors observed in environments with rough seabeds, including coral reefs and rocky shores. The observations indicate large wave dissipation by bottom friction over a rough seabed.

This repository has 2 *.m files 6 compressed folders with data that are relavant for the paper. All the data is saved in .mat files generated with MATLAB. The code for processing the data is archived in a separate GitHub repository (Paper_WaveDissipation). For reproducibility, these 6 folders should be saved inside a directory called data, and saved alongside the content in the GitHub repository that contains the data processing code. The 6 folders within this data repository are



bathymetry/ (~1.26 GB)

level_1/ (~8.7 GB)

level_2/ (~465 MB)

level_3/ (~1.22 GB)

level_4/ (~0.9 GB)

level_5/ (~400 MB)


The bathymetry folder has ungridded and gridded bathymetry data. The other folders have measurements from pressure sensors (SoloD), ADCPs, and wave buoys (Spotters): level_1 has raw data (after basic quality control), level_2 has hourly wave statistics per instrument location, level_3 has similar data as level_2, but also includes data from all instrument sites in one file, level_4 has data including sea-swell bulk statistics, and level_5 has estimates of friction factor. For reproducing figures in the paper, level_1 folder is not required.

For an initial look at wave statistics, I recommend looking at the file ~/level_4/roxsi_data_L4.mat. Pressure-based statistics in this file have been corrected for an effective depth. The file ~/level_4/roxsi_datahp_L4.mat has pressure-based statistics computed with the local depth measuremed by the pressure sensor.

For estimates $f_e$, see ~/level_5/dataL5_withQC.mat. This file has two variables: pwdissipation and pwfetable. The former is a structure variable with timeseries for each pair of instruments, along with timeseries $f_e$, and several statistics. The variable pwfetable is a table where each row corresponds to a different pair of instruments. Both variables include bulk friction factors for each instrument pair.
DOI: 10.5281/zenodo.15199472
title: Dataset for Observations of Wave Energy Dissipation by Bottom Friction on Rocky Shores

description: This repositoy has the dataset for the scientific paper entitled Observations of Wave Energy Dissipation by Bottom Friction on Rocky Shores, accepted for publication in the Journal of Physical Oceanography (JPO). This work analysed an extensive dataset from in-situ instruments deployed as part of the 2022 experiment of the ROXSI project (ROcky shores eXperiments and SImulation). In-situ instruments were deployed for about 1 month at two rocky shores on the Monterey Peninsula, where most instruments were deployed between the shoreline and a bottom depth of ~15 m.

In particular, this work estimated sea-swell wave dissipation by bottom friction and the associated wave friction factors $f_e$. The observed $f_e$. typically varies between 1 and 10, and are amongst the largest friction factors observed in environments with rough seabeds, including coral reefs and rocky shores. The observations indicate large wave dissipation by bottom friction over a rough seabed.

This repository has 2 *.m files 6 compressed folders with data that are relavant for the paper. All the data is saved in .mat files generated with MATLAB. The code for processing the data is archived in a separate GitHub repository (Paper_WaveDissipation). For reproducibility, these 6 folders should be saved inside a directory called data, and saved alongside the content in the GitHub repository that contains the data processing code. The 6 folders within this data repository are



bathymetry/ (~1.26 GB)

level_1/ (~8.7 GB)

level_2/ (~465 MB)

level_3/ (~1.22 GB)

level_4/ (~0.9 GB)

level_5/ (~400 MB)


The bathymetry folder has ungridded and gridded bathymetry data. The other folders have measurements from pressure sensors (SoloD), ADCPs, and wave buoys (Spotters): level_1 has raw data (after basic quality control), level_2 has hourly wave statistics per instrument location, level_3 has similar data as level_2, but also includes data from all instrument sites in one file, level_4 has data including sea-swell bulk statistics, and level_5 has estimates of friction factor. For reproducing figures in the paper, level_1 folder is not required.

For an initial look at wave statistics, I recommend looking at the file ~/level_4/roxsi_data_L4.mat. Pressure-based statistics in this file have been corrected for an effective depth. The file ~/level_4/roxsi_datahp_L4.mat has pressure-based statistics computed with the local depth measuremed by the pressure sensor.

For estimates $f_e$, see ~/level_5/dataL5_withQC.mat. This file has two variables: pwdissipation and pwfetable. The former is a structure variable with timeseries for each pair of instruments, along with timeseries $f_e$, and several statistics. The variable pwfetable is a table where each row corresponds to a different pair of instruments. Both variables include bulk friction factors for each instrument pair.
DOI: 10.17632/7fhz672kvz.1
title: Daunorubicin enhances CD8+ T cell metabolic fitness to bolster antitumor immunity

description: The datasets contains Figure 1-7 and Supplementary Figure 1-7.
DOI: 10.15468/dl.ew94su
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pauropoda",
 "Year is greater than or equal to 1990",
 "Continent is Europe"
 ]
}

 The dataset includes 223 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018488-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7fhz672kvz.2
title: Daunorubicin enhances CD8+ T cell metabolic fitness to bolster antitumor immunity

description: The datasets contains Figure 1-7 and Supplementary Figure 1-7.
DOI: 10.17632/6pyh35bjmx.1
title: [LUT_HST]_FIRI

description: This is the Mendeley Data link to the main repository of LUT University's High-Speed Machine Datasets FIRI machine [LUT_HST]_FIRI. These datasets are related to a high-speed machine that are suspended by active magnetic bearings (AMBs). More details can be found in the original repository in Harvard Dataverse (https://dataverse.harvard.edu/dataverse/luthstdata). This dataset contains of the description files (DF), which contains the metadata of the shared datasets in Harvard Dataverse.