cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1kqpml
title: CCDC 1451780: Experimental Crystal Structure Determination

description: Related Article: Masaki Yoshida, Mio Kondo, Masaya Okamura, Mari Kanaike, Setsiri Haesuwannakij, Hidehiro Sakurai, Shigeyuki Masaoka|2017|Faraday Discuss.|198|181|doi:10.1039/C6FD00227G
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.cc1mmxcj
title: CCDC 1508688: Experimental Crystal Structure Determination

description: Related Article: Elvira I. Musina, Tatiana I. Wittmann, Alexey B. Dobrynin, Peter Lönnecke, Evamarie Hey-Hawkins, Andrey A. Karasik and Oleg G. Sinyashin|2017|Pure Appl.Chem.|89|331|doi:10.1515/pac-2016-1013
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.cc1mmxdk
title: CCDC 1508689: Experimental Crystal Structure Determination

description: Related Article: Elvira I. Musina, Tatiana I. Wittmann, Alexey B. Dobrynin, Peter Lönnecke, Evamarie Hey-Hawkins, Andrey A. Karasik and Oleg G. Sinyashin|2017|Pure Appl.Chem.|89|331|doi:10.1515/pac-2016-1013
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.cc1mmxfl
title: CCDC 1508690: Experimental Crystal Structure Determination

description: Related Article: Elvira I. Musina, Tatiana I. Wittmann, Alexey B. Dobrynin, Peter Lönnecke, Evamarie Hey-Hawkins, Andrey A. Karasik and Oleg G. Sinyashin|2017|Pure Appl.Chem.|89|331|doi:10.1515/pac-2016-1013
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.cc1mmxgm
title: CCDC 1508691: Experimental Crystal Structure Determination

description: Related Article: Elvira I. Musina, Tatiana I. Wittmann, Alexey B. Dobrynin, Peter Lönnecke, Evamarie Hey-Hawkins, Andrey A. Karasik and Oleg G. Sinyashin|2017|Pure Appl.Chem.|89|331|doi:10.1515/pac-2016-1013
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: 10.34740/kaggle/dsv/13484197
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.30435763
title: Dataset

description: dataset for the paper "<b>Understanding Trust in AI for Special ESL/EFL Education: Insights from Academic and Industry Perspectives</b>"
DOI: 10.6084/m9.figshare.30435763.v1
title: Dataset

description: dataset for the paper "<b>Understanding Trust in AI for Special ESL/EFL Education: Insights from Academic and Industry Perspectives</b>"
DOI: 10.5281/zenodo.17430732
title: Quantifying Wealth-Related Inequalities in Maternal and Child Health: A National Analysis of Madagascar (2015–2022) Using DHS Data

description: Abstract

Background:Socioeconomic inequality remains a central barrier to achieving universal health coverage (UHC) in low-income countries.

Methods:Using nationally representative Demographic and Health Survey data (2015–16 and 2021–22), this study quantified wealth-related disparities across 25 maternal and child health indicators in Madagascar. The wealth gap (Q5–Q1) was calculated for each indicator, and 95% confidence intervals were estimated via bootstrap resampling. The pooled dataset included approximately 9,200 women aged 15–49 and 5,000 children under five, weighted for national representativeness.

Findings:Across all indicators, the mean wealth gap was 4.2 percentage points (95% CI 3.5–4.9). The widest inequalities were observed in skilled birth attendance (10 pp gap; 95% CI 8–12) and antenatal care by a doctor (8 pp; 95% CI 6–10). Preventive child health indicators displayed moderate but significant gaps (2–6 pp), while curative indicators demonstrated near parity between wealth groups.
DOI: 10.5281/zenodo.17430733
title: Quantifying Wealth-Related Inequalities in Maternal and Child Health: A National Analysis of Madagascar (2015–2022) Using DHS Data

description: Abstract

Background:Socioeconomic inequality remains a central barrier to achieving universal health coverage (UHC) in low-income countries.

Methods:Using nationally representative Demographic and Health Survey data (2015–16 and 2021–22), this study quantified wealth-related disparities across 25 maternal and child health indicators in Madagascar. The wealth gap (Q5–Q1) was calculated for each indicator, and 95% confidence intervals were estimated via bootstrap resampling. The pooled dataset included approximately 9,200 women aged 15–49 and 5,000 children under five, weighted for national representativeness.

Findings:Across all indicators, the mean wealth gap was 4.2 percentage points (95% CI 3.5–4.9). The widest inequalities were observed in skilled birth attendance (10 pp gap; 95% CI 8–12) and antenatal care by a doctor (8 pp; 95% CI 6–10). Preventive child health indicators displayed moderate but significant gaps (2–6 pp), while curative indicators demonstrated near parity between wealth groups.
DOI: 10.15468/dl.rket6j
title: Occurrence Download

description: A dataset containing 6498013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 10000.0-1000000.0",
 "Geometry POLYGON((-125.93516 23.41083,-61.40441 23.41083,-61.40441 50.27431,-125.93516 50.27431,-125.93516 23.41083))"
 ]
}

 The dataset includes 6498013 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054142-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30280543.v1
title: DECT data

description: Electron density and effective atomic number as quantitative biomarkers for differentiating malignant brain tumors: An exploratory study with machine learningThe dataset listed in the Excel spreadsheet represents the original data of all 136 cases included in this study. BM, brain metastasis; PCNSL, primary central nervous system lymphoma; CTconv, conventional CT; ED, electron density; Zeff, effective atomic number; rADC, relative apparent diffusion coefficient (ADC of lesion divided by ADC of normal-appearing white matter); 10th, 10th percentile; 90th, 90th percentile
DOI: 10.6084/m9.figshare.30280543
title: DECT data

description: Electron density and effective atomic number as quantitative biomarkers for differentiating malignant brain tumors: An exploratory study with machine learningThe dataset listed in the Excel spreadsheet represents the original data of all 136 cases included in this study. BM, brain metastasis; PCNSL, primary central nervous system lymphoma; CTconv, conventional CT; ED, electron density; Zeff, effective atomic number; rADC, relative apparent diffusion coefficient (ADC of lesion divided by ADC of normal-appearing white matter); 10th, 10th percentile; 90th, 90th percentile
DOI: 10.57760/sciencedb.30435
title: Simulation study on event positioning algorithm of fast neutron imaging detector based on scintillating fiber and SiPM array
title: Simulation study on event positioning algorithm of fast neutron imaging detector based on scintillating fiber and SiPM array

description: The miniaturized fast neutron imaging detector based on scintillating fiber (Sci-Fi) will adopt a SiPM array as the photoelectric conversion component. The center of gravity (CoG) method, a commonly used method for neutron event positioning, exhibits poor applicability to signals in the edge region of the array. To address this issue, this paper conducts a simulation study on the distribution characteristics of light output from the Sci-Fi and light guide using Geant4. The correlation coefficients (R2) of the photon distribution functions fitted for different regions are all above 0.99. In addition, this paper classifies the deviations generated during the application of the imaging detector into three major categories: inherent deviations, hardware deviations, and algorithmic deviations. For algorithmic deviations, scintillation photon events randomly distributed in the Sci-Fi array are simulated. The inversion method developed based on the photon distribution function adopts an iterative calculation approach to determine the event position with the best match. Compared with the CoG method, the inversion method reduces the average deviation by more than 13 %, maintains good positioning performance for events in the edge region, improves the utilization rate of the SiPM array, and is suitable for scenarios requiring higher precision and a wider field of view.
description: The miniaturized fast neutron imaging detector based on scintillating fiber (Sci-Fi) will adopt a SiPM array as the photoelectric conversion component. The center of gravity (CoG) method, a commonly used method for neutron event positioning, exhibits poor applicability to signals in the edge region of the array. To address this issue, this paper conducts a simulation study on the distribution characteristics of light output from the Sci-Fi and light guide using Geant4. The correlation coefficients (R2) of the photon distribution functions fitted for different regions are all above 0.99. In addition, this paper classifies the deviations generated during the application of the imaging detector into three major categories: inherent deviations, hardware deviations, and algorithmic deviations. For algorithmic deviations, scintillation photon events randomly distributed in the Sci-Fi array are simulated. The inversion method developed based on the photon distribution function adopts an iterative calculation approach to determine the event position with the best match. Compared with the CoG method, the inversion method reduces the average deviation by more than 13 %, maintains good positioning performance for events in the edge region, improves the utilization rate of the SiPM array, and is suitable for scenarios requiring higher precision and a wider field of view.
DOI: 10.57760/sciencedb.30434
title: Differences in Cognitive Flexibility Among Junior High School Students with Different Mindset Types​
title: Differences in Cognitive Flexibility Among Junior High School Students with Different Mindset Types​

description: All data were collected from Grade 7 and Grade 8 students at a township middle school in China. The two sets of data represent the results of the pre-test and post-test, with an 8-week interval in between. All data were collected using computers of the same model, with a 17-inch screen, a resolution of 1920×1080, and a refresh rate of 120 Hz. Each data entry includes accuracy and reaction time, calculated as the mean after removing extreme values beyond three standard deviations.
description: All data were collected from Grade 7 and Grade 8 students at a township middle school in China. The two sets of data represent the results of the pre-test and post-test, with an 8-week interval in between. All data were collected using computers of the same model, with a 17-inch screen, a resolution of 1920×1080, and a refresh rate of 120 Hz. Each data entry includes accuracy and reaction time, calculated as the mean after removing extreme values beyond three standard deviations.
DOI: 10.15468/dl.58u72g
title: Occurrence Download

description: A dataset containing 44830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Accipitriformes",
 "HasCoordinate is true",
 "Geometry POLYGON((2.676932 4.272244, 14.678014 4.272244, 14.678014 13.865923, 2.676932 13.865923, 2.676932 4.272244))"
 ]
}

 The dataset includes 44830 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054146-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.30283
title: MuSyQ SHG-LCC: A high-resolution global leaf chlorophyll content dataset derived from Sentinel-2 imagery(2022)
title: MuSyQ SHG-LCC:全球高分辨率叶片叶绿素含量产品(2022)

description: Leaf chlorophyll content (LCC) is a critical indicator of plant photosynthetic capacity and plays a key role in understanding the terrestrial carbon cycle. However, existing global LCC products, primarily derived from coarse-resolution remote sensing data, are unable to accurately capture the spatiotemporal variations of LCC in heterogeneous regions. Currently, high-resolution global LCC products remain limited, significantly constraining their application at fine scales. To address this gap, this dataset developed a high-resolution global LCC product (MuSyQ SHG-LCC) with 100-meter/10-day resolution from Sentinel-2 MSI data for the 2019-2023. The dataset was generated using the leaf-scale MERIS Terrestrial Chlorophyll Index (MTCIleaf), which effectively corrects for canopy structural effects on LCC retrieval. Validation results demonstrated that the dataset achieved high retrieval accuracy across various vegetation types, providing important data support for global carbon cycle and ecological research.
description: Leaf chlorophyll content (LCC) is a critical indicator of plant photosynthetic capacity and plays a key role in understanding the terrestrial carbon cycle. However, existing global LCC products, primarily derived from coarse-resolution remote sensing data, are unable to accurately capture the spatiotemporal variations of LCC in heterogeneous regions. Currently, high-resolution global LCC products remain limited, significantly constraining their application at fine scales. To address this gap, this dataset developed a high-resolution global LCC product (MuSyQ SHG-LCC) with 100-meter/10-day resolution from Sentinel-2 MSI data for the 2019-2023. The dataset was generated using the leaf-scale MERIS Terrestrial Chlorophyll Index (MTCIleaf), which effectively corrects for canopy structural effects on LCC retrieval. Validation results demonstrated that the dataset achieved high retrieval accuracy across various vegetation types, providing important data support for global carbon cycle and ecological research.
DOI: 10.57760/sciencedb.21368
title: Lactobacillus johnsonii metabolites D-cycloserine inhibit colorectal tumors by suppressing inflammation and promoting tumor apoptosis
title: Lactobacillus johnsonii metabolites D-cycloserine inhibit colorectal tumors by suppressing inflammation and promoting tumor apoptosis

description: Lactobacillus johnsonii (LJ) has demonstrated therapeutic potential in various human diseases, but its prophylactic and therapeutic effects of LJ and its metabolites on colorectal tumors using comprehensive experimental models. Azoxymethane/dextran sulfate sodium (AOM/DSS)-induced mouse models of CRC and subcutaneous tumor mouse models were employed to assess the effects of LJ. Metagenomic, transcriptomic, and metabolomic analyses identified key metabolites and molecular targets, which were validated in AOM/DSS-induced antibiotic-treated (ABX) mouse models, MC38 xenografts, normal human intestinal epithelial cell lines, and CRC cell lines. LJ treatment significantly alleviated intestinal inflammation, enhanced tumor necrosis factor (TNF) signaling pathways, and up-regulated apoptotic gene sets in tumor tissues. Mechanistic investigations revealed that LJ inhibited the NLRP3-Caspase-1-GSDMD signaling pathway through its metabolite D-cycloserine (DC), suppressing inflammation and tumorigenesis. Additionally, the metabolite STA increased CCL5 expression, induced apoptosis in tumor cells, and slowed tumor progression. These findings highlight the dual anti-inflammatory and pro-apoptotic mechanisms of LJ and its metabolites, DC and STA, in mitigating CRC development and progression. Thus, LJ shows considerable potential as a prophylactic and adjunctive therapeutic strategy for CRC management.
description: Lactobacillus johnsonii (LJ) has demonstrated therapeutic potential in various human diseases, but its prophylactic and therapeutic effects of LJ and its metabolites on colorectal tumors using comprehensive experimental models. Azoxymethane/dextran sulfate sodium (AOM/DSS)-induced mouse models of CRC and subcutaneous tumor mouse models were employed to assess the effects of LJ. Metagenomic, transcriptomic, and metabolomic analyses identified key metabolites and molecular targets, which were validated in AOM/DSS-induced antibiotic-treated (ABX) mouse models, MC38 xenografts, normal human intestinal epithelial cell lines, and CRC cell lines. LJ treatment significantly alleviated intestinal inflammation, enhanced tumor necrosis factor (TNF) signaling pathways, and up-regulated apoptotic gene sets in tumor tissues. Mechanistic investigations revealed that LJ inhibited the NLRP3-Caspase-1-GSDMD signaling pathway through its metabolite D-cycloserine (DC), suppressing inflammation and tumorigenesis. Additionally, the metabolite STA increased CCL5 expression, induced apoptosis in tumor cells, and slowed tumor progression. These findings highlight the dual anti-inflammatory and pro-apoptotic mechanisms of LJ and its metabolites, DC and STA, in mitigating CRC development and progression. Thus, LJ shows considerable potential as a prophylactic and adjunctive therapeutic strategy for CRC management.
DOI: 10.57760/sciencedb.30427
title: Proteomics data resin 102
title: Proteomics data resin 102

description: Proteins identified by eluting resin 102 with free compound PAV-645
description: Proteins identified by eluting resin 102 with free compound PAV-645
DOI: 10.57760/sciencedb.24628
title: Lactobacillus johnsonii suppresses colorectal tumorigenesis by enriching the intestinal metabolite to induce tumor cell apoptosis
title: Lactobacillus johnsonii suppresses colorectal tumorigenesis by enriching the intestinal metabolite to induce tumor cell apoptosis

description: Lactobacillus johnsonii (LJ) has demonstrated therapeutic potential in various human diseases, but its direct impact on colorectal cancer (CRC) remains insufficiently explored. This study evaluated the prophylactic and therapeutic effects of LJ on colorectal tumors using comprehensive experimental models. Azoxymethane/dextran sulfate sodium (AOM/DSS)-induced mouse models of CRC and subcutaneous tumor mouse models were employed to assess the effects of LJ. Metagenomic, transcriptomic, and metabolomic analyses identified key metabolites and molecular targets, which were validated in AOM/DSS-induced antibiotic-treated (ABX) mouse models, MC38 xenografts, normal human intestinal epithelial cell lines, and CRC cell lines. LJ treatment significantly enhanced tumor necrosis factor (TNF) signaling pathways, and up-regulated apoptotic gene sets in tumor tissues. Thus, LJ shows considerable potential as a prophylactic and adjunctive therapeutic strategy for CRC management.
description: Lactobacillus johnsonii (LJ) has demonstrated therapeutic potential in various human diseases, but its direct impact on colorectal cancer (CRC) remains insufficiently explored. This study evaluated the prophylactic and therapeutic effects of LJ on colorectal tumors using comprehensive experimental models. Azoxymethane/dextran sulfate sodium (AOM/DSS)-induced mouse models of CRC and subcutaneous tumor mouse models were employed to assess the effects of LJ. Metagenomic, transcriptomic, and metabolomic analyses identified key metabolites and molecular targets, which were validated in AOM/DSS-induced antibiotic-treated (ABX) mouse models, MC38 xenografts, normal human intestinal epithelial cell lines, and CRC cell lines. LJ treatment significantly enhanced tumor necrosis factor (TNF) signaling pathways, and up-regulated apoptotic gene sets in tumor tissues. Thus, LJ shows considerable potential as a prophylactic and adjunctive therapeutic strategy for CRC management.
DOI: 10.57760/sciencedb.30394
title: Formation of the energetic electrons at the dipolarization front and the trailing flux pileup region during magnetic reconnection
title: Formation of the energetic electrons at the dipolarization front and the trailing flux pileup region during magnetic reconnection

description: The data set includes the dataset of a two-dimensional particle-in-cell simulation of magnetic reconnection, to study the formation of the energetic electrons at the dipolarization front and the trailing flux pileup region during magnetic reconnection
description: The data set includes the dataset of a two-dimensional particle-in-cell simulation of magnetic reconnection, to study the formation of the energetic electrons at the dipolarization front and the trailing flux pileup region during magnetic reconnection
DOI: 10.15468/dl.zpw3h4
title: Occurrence Download

description: A dataset containing 3508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Parthenium hysterophorus"
 ]
}

 The dataset includes 3508 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054147-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jneawd
title: Occurrence Download

description: A dataset containing 33393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "Geometry POLYGON((-124.07519 21.28139,-66.52845 21.28139,-66.52845 48.48758,-124.07519 48.48758,-124.07519 21.28139))",
 "TaxonKey is Lonicera japonica"
 ]
}

 The dataset includes 33393 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054148-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30264037.v2
title: Corn Leaf Disease Recognition Dataset

description: This repository contains:A de-identified, representative subset of the corn disease dataset used in our research;Sample training images and partial results for reproducibility;Metadata and code for evaluation;The PlantVillage dataset.⚠️ Due to privacy concerns, the full dataset is not publicly available.<br>Researchers may request access to the full dataset by contacting:<br>📧 yjs2022135@ahstu.edu.cn 🏛️ Research Center of Intelligent Planting and Processing Technology of Crops in Anhui Province, Fengyang , China