cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17504801
title: Data and analysis code supporting the PhD thesis 'Faster control or longer lifetimes: Expanding the toolbox for electron and nuclear spin dynamics in on-surface atoms'

description: This data set contains the raw data files as well as the analysis code used to produce all the experimental plots in the PhD thesis 'Faster control or longer lifetimes: Expanding the toolbox for electron and nuclear spin dynamics in on-surface atoms' by Evert W. Stolte under supervision of prof. Sander Otte at the TU Delft.

It contains measurements done with a scanning tunneling microscope (STM) on individual titanium atoms adsorbed on MgO thin films on top of Ag(100). Using an arbitrary waveform generator, time-dependent voltage signals in the GHz frequency range are applied to control and probe the dynamics of the magnetic state of the individual atoms. In this thesis, we probe both electron and nuclear spin dynamics.

The dataset is ordered by chapter that contains experimental data.
DOI: 10.5281/zenodo.17504800
title: Data and analysis code supporting the PhD thesis 'Faster control or longer lifetimes: Expanding the toolbox for electron and nuclear spin dynamics in on-surface atoms'

description: This data set contains the raw data files as well as the analysis code used to produce all the experimental plots in the PhD thesis 'Faster control or longer lifetimes: Expanding the toolbox for electron and nuclear spin dynamics in on-surface atoms' by Evert W. Stolte under supervision of prof. Sander Otte at the TU Delft.

It contains measurements done with a scanning tunneling microscope (STM) on individual titanium atoms adsorbed on MgO thin films on top of Ag(100). Using an arbitrary waveform generator, time-dependent voltage signals in the GHz frequency range are applied to control and probe the dynamics of the magnetic state of the individual atoms. In this thesis, we probe both electron and nuclear spin dynamics.

The dataset is ordered by chapter that contains experimental data.
DOI: 10.6084/m9.figshare.30513980
title: <b>The Impact of an AIPER on Health Behavior Improvement among Sedentary Adults: A Longitudinal Extension of the TAM</b>

description: To examine, over a six-month period, the effect of an AI-based Personalized Exercise Recommendation System (AIPER) on Health Behavior Improvement (HBI) among sedentary adults and to analyze its psychological mechanisms.
DOI: 10.6084/m9.figshare.30513980.v1
title: <b>The Impact of an AIPER on Health Behavior Improvement among Sedentary Adults: A Longitudinal Extension of the TAM</b>

description: To examine, over a six-month period, the effect of an AI-based Personalized Exercise Recommendation System (AIPER) on Health Behavior Improvement (HBI) among sedentary adults and to analyze its psychological mechanisms.
DOI: 10.15468/dl.4232hs
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Análisis ecológico de la fauna en las fuentes abastecedoras de agua para comunidades indígenas de Osbezcac en la cuenca del rio Saija, Timbiquí - Cauca"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012213-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dj2xd
title: Occurrence Download

description: A dataset containing 694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "Year is 2010",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 694 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012214-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17509955
title: Dataset for paper "How accurate is inpatient blood pressure measurement?"

description: This dataset contains de-identified data from an inpatient blood pressure (BP) measurement audit conducted at a metropolitan hospital in New South Wales, Australia. Each record corresponds to a BP measurement episode and includes information on patient characteristics, ward category, and adherence to ten predefined BP-measurement criteria.
DOI: 10.5281/zenodo.17509956
title: Dataset for paper "How accurate is inpatient blood pressure measurement?"

description: This dataset contains de-identified data from an inpatient blood pressure (BP) measurement audit conducted at a metropolitan hospital in New South Wales, Australia. Each record corresponds to a BP measurement episode and includes information on patient characteristics, ward category, and adherence to ten predefined BP-measurement criteria.
DOI: 10.15468/dl.6h6ree
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hanguana minor"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012215-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.446qq2
title: Occurrence Download

description: A dataset containing 693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "Year is 2011",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 693 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012216-251025141854904/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.28659557
title: AfricanCropCalendar: A geo-referenced dataset of crop growing seasons across diverse agro-ecological regions in Sub-Saharan Africa.

description: Large-scale agricultural household surveys provide essential data on farming households' socioeconomics, land management, and agricultural indicators, and allow detailed micro-scale comparisons while ensuring national representativeness. The AfricanCropCalendar dataset provides cleaned, harmonised, and validated survey data describing the growing season of several hundred crops from six African countries between 2009-2019.It complements existing datasets by including geographical identifiers to link with climate, soil, or Earth observation data. Collected through the LSMS-ISA program, the surveys cover crop planting and harvesting dates, anonymized field locations, and crop species grown. The data were harmonised by assigning consistent variable names, correcting inconsistencies, standardising crop names, and creating unique plot identifiers. This comprehensive dataset offers novel insights into African cropping systems and growing seasons and provides a basis for assessing drivers of shifts in growing seasons.This dataset is described in a data publication:Katharina Waha, Sophie Rötzer, Koen De Vos, Uwe Grewer, Altaaf Mechiche-Alami, Andrew Tomes (2025): African Crop Calendar: A geo-referenced dataset of crop growing seasons across diverse agro-ecological regions. <i>Scientific Data</i>.
DOI: 10.6084/m9.figshare.28659557.v1
title: AfricanCropCalendar: A geo-referenced dataset of crop growing seasons across diverse agro-ecological regions in Sub-Saharan Africa.

description: Large-scale agricultural household surveys provide essential data on farming households' socioeconomics, land management, and agricultural indicators, and allow detailed micro-scale comparisons while ensuring national representativeness. The AfricanCropCalendar dataset provides cleaned, harmonised, and validated survey data describing the growing season of several hundred crops from six African countries between 2009-2019.It complements existing datasets by including geographical identifiers to link with climate, soil, or Earth observation data. Collected through the LSMS-ISA program, the surveys cover crop planting and harvesting dates, anonymized field locations, and crop species grown. The data were harmonised by assigning consistent variable names, correcting inconsistencies, standardising crop names, and creating unique plot identifiers. This comprehensive dataset offers novel insights into African cropping systems and growing seasons and provides a basis for assessing drivers of shifts in growing seasons.This dataset is described in a data publication:Katharina Waha, Sophie Rötzer, Koen De Vos, Uwe Grewer, Altaaf Mechiche-Alami, Andrew Tomes (2025): African Crop Calendar: A geo-referenced dataset of crop growing seasons across diverse agro-ecological regions. <i>Scientific Data</i>.
DOI: 10.15468/dl.7ufcg6
title: Occurrence Download

description: A dataset containing 2352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "Year is 2012",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 2352 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012217-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzhx38
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fruit bats in secondary forests and reforestation areas within geothermal reservations in the Philippines"
 ]
}

 The dataset includes 190 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012218-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00148.00017
title: Why Are Magnoliaceae So Diverse in the Tropics? Disentangling the Roles of Diversification and Time-for-Speciation Effects
title: Why Are Magnoliaceae So Diverse in the Tropics? Disentangling the Roles of Diversification and Time-for-Speciation Effects

description: This dataset contains information on sequenced species, species classification, and biogeographic regions of the family Magnoliaceae.The "gblocks_concatenation" file is the alignment of 48 newly sequenced plastomes and 75 previous published ones. Plastomes of Chieniodendron hainanense (Merr.) Tsiang & P. T. Li and Horsfieldia pandurifolia Hu were included as outgroups.Appendix 1 Species and sequences used to construct the molecular phylogeny.Appendix 2 Species classification, leaf habit, biogeographic regions and references. Magnoliaceae is a family in the magnoliid order Magnoliales and is well known for its large, attractive and fragrant flowers. The family comprises ca. 300 species with most of its diversity concentrated in the amphi-Pacific tropical evergreen forests. Previous studies based on only a few nuclear and chloroplast DNA loci have failed to fully resolve phylogenetic relationships due to limited genetic differentiation. In this study, we reconstructed a time-calibrated phylogeny using plastomes from 123 species, representing Liriodendron and all 15 sections of Magnolia, and investigated its colonization and diversification history.
description: This dataset contains information on sequenced species, species classification, and biogeographic regions of the family Magnoliaceae.The "gblocks_concatenation" file is the alignment of 48 newly sequenced plastomes and 75 previous published ones. Plastomes of Chieniodendron hainanense (Merr.) Tsiang & P. T. Li and Horsfieldia pandurifolia Hu were included as outgroups.Appendix 1 Species and sequences used to construct the molecular phylogeny.Appendix 2 Species classification, leaf habit, biogeographic regions and references. Magnoliaceae is a family in the magnoliid order Magnoliales and is well known for its large, attractive and fragrant flowers. The family comprises ca. 300 species with most of its diversity concentrated in the amphi-Pacific tropical evergreen forests. Previous studies based on only a few nuclear and chloroplast DNA loci have failed to fully resolve phylogenetic relationships due to limited genetic differentiation. In this study, we reconstructed a time-calibrated phylogeny using plastomes from 123 species, representing Liriodendron and all 15 sections of Magnolia, and investigated its colonization and diversification history.
DOI: 10.57760/sciencedb.30490
title: Construction of experimental data by fraud spatio-temporal knowledge graph
title: 诈骗时空知识图谱构建实验数据

description: Based on the data of over 420000 cases in a certain province in the past five years, a professional terminology database in the field of public security was first constructed, and LoRA technology was used to perform multi task fine-tuning on the DeepSeek model 
description: Based on the data of over 420000 cases in a certain province in the past five years, a professional terminology database in the field of public security was first constructed, and LoRA technology was used to perform multi task fine-tuning on the DeepSeek model
DOI: 10.34740/kaggle/dsv/13593839
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.57760/sciencedb.30471
title: The Dual-Conscious Mechanism of False Reward Memories Guiding Decision Preferences
title: 错误记忆影响决策偏好的双重意识机制

description: The role of consciousness component in the value decision-making process guided by incorrect memory in current dataset research 
description: The role of consciousness component in the value decision-making process guided by incorrect memory in current dataset research
DOI: 10.15468/dl.g592qj
title: Occurrence Download

description: A dataset containing 2441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "Year is 2013",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 2441 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012220-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.30461
title: Pear peel polyphenol paper raw data
title: Pear peel polyphenol paper raw data

description: LC-MS/MS raw data of PPP identification
description: LC-MS/MS raw data of PPP identification
DOI: 10.57760/sciencedb.24311
title: Tables and Figures
title: Tables and Figures

description: These tables and figures are research findings about calcareous sand through drained triaxial tests.
description: These tables and figures are research findings about calcareous sand through drained triaxial tests.
DOI: 10.57760/sciencedb.30342
title: Interventional Study Dataset
title: Interventional Study Dataset

description: This dataset is the raw data for an intervention study, and this study is about psychological aspects 
description: This dataset is the raw data for an intervention study, and this study is about psychological aspects
DOI: 10.57760/sciencedb.27227
title: AI-powered malware simulation of a medical imaging database
title: AI-powered malware simulation of a medical imaging database

description: The dataset comprises medical imaging data that demonstrate the presence or absence of illnesses. used to simulate AI-based malware modulation, this database is paired with malware-modulated counterparts. By creating tampered images on the fly from the benign dataset using three mechanisms:Adversarial perturbations to input data that can cause data misclassification.Patch-level content edits by Copying-pasting or inpainting of small square regions (8–32 px) to simulate lesion insertion or removal.Metadata-consistent rescaling for random resize and crop variance. Each training batch is a duplicate of the original images.
description: The dataset comprises medical imaging data that demonstrate the presence or absence of illnesses. used to simulate AI-based malware modulation, this database is paired with malware-modulated counterparts. By creating tampered images on the fly from the benign dataset using three mechanisms:Adversarial perturbations to input data that can cause data misclassification.Patch-level content edits by Copying-pasting or inpainting of small square regions (8–32 px) to simulate lesion insertion or removal.Metadata-consistent rescaling for random resize and crop variance. Each training batch is a duplicate of the original images.
DOI: 10.57760/sciencedb.30441
title: Autoantigen protein microarray data
title: Autoantigen protein microarray data

description: This dataset contains protein microarray measurements of antigen reactivity for recombinant monoclonal antibodies (rmAbs) from chronic lymphocytic leukaemia (CLL), with emphasis on stereotyped subset 1. Arrays probe reactivity against a curated panel of autoantigens; binding is detected with Cy3-conjugated anti-human IgG and acquired on a GenePix scanner. The processed matrix (normalized intensities) underlies Figure 5 (heat map) and related analyses in the manuscript: Defective cell-autonomous signalling and antigenic polyreactivity of B-cell receptors from chronic lymphocytic leukaemia stereotyped subset 1.
description: This dataset contains protein microarray measurements of antigen reactivity for recombinant monoclonal antibodies (rmAbs) from chronic lymphocytic leukaemia (CLL), with emphasis on stereotyped subset 1. Arrays probe reactivity against a curated panel of autoantigens; binding is detected with Cy3-conjugated anti-human IgG and acquired on a GenePix scanner. The processed matrix (normalized intensities) underlies Figure 5 (heat map) and related analyses in the manuscript: Defective cell-autonomous signalling and antigenic polyreactivity of B-cell receptors from chronic lymphocytic leukaemia stereotyped subset 1.
DOI: 10.57760/sciencedb.30470
title: Mechanical strength and ASR
title: Mechanical strength and ASR

description: Mechanical strength and ASR results are available.
description: Mechanical strength and ASR results are available.
DOI: 10.57760/sciencedb.30481
title: Thermal performance of damaged bulk grain warehouse walls under cyclic loading
title: Thermal performance of damaged bulk grain warehouse walls under cyclic loading

description: 研究发现，散粮平仓墙体在长期循环装粮下容易发生累积损伤，导致保温性能下降，粮食储存功能受损。为研究砖墙的损伤演变及其热效应，在开裂荷载的0.3倍、0.5倍和0.7倍下进行了6次循环加载试验和损伤后热性能试验。实验结果表明，壁面位移随荷载水平和循环次数的增加而逐渐增加，最大挠度达到18.58 mm，残余变形范围为0.1-0.4 mm。 损坏系数随着负载水平和循环次数的增加而增加。在0.3—0.7倍的荷载水平范围内，损伤系数的增加速率呈现先增长后逐渐下降的趋势。 在0.3—0.5倍加载范围内，墙体进入损伤发展加速阶段，而在0.5—0.7倍时，损伤进展趋于稳定。 砖墙损坏的程度直接决定热性能，损坏越大，热阻越低，传热系数越高。墙壁的中等高度部分在所有负载水平中始终表现出最严重的损坏。当承受开裂荷载的0.3—0.7倍载荷时，损伤系数从0.26增加到0.44，热阻降低27.45%，传热系数增加26.97%。将不同加载幅度和循环次数的力学损伤试验结果与热性能表征数据相结合，通过拟合得到了砖墙损伤系数和加载参数与损伤砖墙传热系数和损伤系数的两个定量关系模型。
description: 研究发现，散粮平仓墙体在长期循环装粮下容易发生累积损伤，导致保温性能下降，粮食储存功能受损。为研究砖墙的损伤演变及其热效应，在开裂荷载的0.3倍、0.5倍和0.7倍下进行了6次循环加载试验和损伤后热性能试验。实验结果表明，壁面位移随荷载水平和循环次数的增加而逐渐增加，最大挠度达到18.58 mm，残余变形范围为0.1-0.4 mm。 损坏系数随着负载水平和循环次数的增加而增加。在0.3—0.7倍的荷载水平范围内，损伤系数的增加速率呈现先增长后逐渐下降的趋势。 在0.3—0.5倍加载范围内，墙体进入损伤发展加速阶段，而在0.5—0.7倍时，损伤进展趋于稳定。 砖墙损坏的程度直接决定热性能，损坏越大，热阻越低，传热系数越高。墙壁的中等高度部分在所有负载水平中始终表现出最严重的损坏。当承受开裂荷载的0.3—0.7倍载荷时，损伤系数从0.26增加到0.44，热阻降低27.45%，传热系数增加26.97%。将不同加载幅度和循环次数的力学损伤试验结果与热性能表征数据相结合，通过拟合得到了砖墙损伤系数和加载参数与损伤砖墙传热系数和损伤系数的两个定量关系模型。
DOI: 10.6084/m9.figshare.30514163
title: SBM-VIS-VIStR-20251103

description: The updated version of SBM-VIS-VIStR. Added animal ID.
DOI: 10.6084/m9.figshare.30514163.v1
title: SBM-VIS-VIStR-20251103

description: The updated version of SBM-VIS-VIStR. Added animal ID.
DOI: 10.57760/sciencedb.30411
title: Supplementary Materials for "The Distal Symmetric Polyneuropathy Index: a simple and predictive tool for subclinical distal symmetric polyneuropathy"
title: Supplementary Materials for "The Distal Symmetric Polyneuropathy Index: a simple and predictive tool for subclinical distal symmetric polyneuropathy"

description: Supplementary Material for "The Distal Symmetric Polyneuropathy Index: a simple and predictive tool for subclinical distal symmetric polyneuropathy", including supplementary tables and figures.
description: Supplementary Material for "The Distal Symmetric Polyneuropathy Index: a simple and predictive tool for subclinical distal symmetric polyneuropathy", including supplementary tables and figures.
DOI: 10.57760/sciencedb.28532
title: A dataset for A Statistically Validated Stacking Ensemble of CNNs and Vision Transformer for Robust Maize Disease Classification
title: A dataset for A Statistically Validated Stacking Ensemble of CNNs and Vision Transformer for Robust Maize Disease Classification

description: This dataset provides the resources to a statistically validated stacking ensemble model combining Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) for maize disease classification. The dataset is designed to support our research, enabling improved automated disease detection in maize crops.The dataset includes the following:1. Data for Maize Leaf Classification RAR data: A 15719 labeled images for maize leaf classification. These images are critical for training CNNs and ViTs to identify various maize diseases based on leaf appearances.2. Generated Raw Data for Maize Leaf Disease pdf data: A detailed PDF report generated from Python containing raw data on maize leaf disease used for model training and validation.3. Maize Dataset Manifest excel data: A structured 15719 rows of Excel sheet that provides the dataset's contents, including metadata for each image file and important information about dataset organization.4. Python Source Code of Maize Disease Classification zip data: A ZIP file containing the source code necessary to classify the maize disease process. The code implements the stacking ensemble model and includes scripts for training, validation, and evaluation, along with dependencies for running the model.Therefore, this row data assists researchers in developing deep learning models for scalable maize disease detection.
description: This dataset provides the resources to a statistically validated stacking ensemble model combining Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) for maize disease classification. The dataset is designed to support our research, enabling improved automated disease detection in maize crops.The dataset includes the following:1. Data for Maize Leaf Classification RAR data: A 15719 labeled images for maize leaf classification. These images are critical for training CNNs and ViTs to identify various maize diseases based on leaf appearances.2. Generated Raw Data for Maize Leaf Disease pdf data: A detailed PDF report generated from Python containing raw data on maize leaf disease used for model training and validation.3. Maize Dataset Manifest excel data: A structured 15719 rows of Excel sheet that provides the dataset's contents, including metadata for each image file and important information about dataset organization.4. Python Source Code of Maize Disease Classification zip data: A ZIP file containing the source code necessary to classify the maize disease process. The code implements the stacking ensemble model and includes scripts for training, validation, and evaluation, along with dependencies for running the model.Therefore, this row data assists researchers in developing deep learning models for scalable maize disease detection.