cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30565407
title: Integrative analysis of proteomic and MRI data reveals protein associations with brain imaging features in Alzheimer’s disease

description: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia worldwide. Despite extensive research, the complex molecular mechanisms underlying AD remain incompletely understood, limiting diagnostic and therapeutic advancements. We presented an integrative, multi-layer computational framework to highlight proteins associated with AD-related brain changes using imaging, proteomic, genetic, and network-based analyses. Utilizing data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), we combined cerebrospinal fluid (CSF) proteomics with structural brain MRI features through a supervised multi-omics integration method. This approach enabled the identification of key proteins linked to imaging traits. To contextualize these findings, proteins were mapped to their corresponding genes, investigated AD brain-imaging genetic associations through genome-wide association studies (GWAS) and applied network-based analyses. Proteins highlighted from both analyses were further verified in brain-specific databases to assess their functional roles, recurrence across studies, and spatial expression. Five proteins – <i>APP, VGF, APOE, SCG3,</i> and <i>NCAN</i> – were consistently associated with imaging-derived traits and are implicated in neurodegenerative mechanisms. This study highlights the critical role of integrating imaging and proteomic data as part of the genotype-to-phenotype roadmap for AD, revealing molecular underpinnings of brain changes and offering a blueprint for the development of targeted therapeutic strategies.
DOI: 10.6084/m9.figshare.30565407.v2
title: Integrative analysis of proteomic and MRI data reveals protein associations with brain imaging features in Alzheimer’s disease

description: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia worldwide. Despite extensive research, the complex molecular mechanisms underlying AD remain incompletely understood, limiting diagnostic and therapeutic advancements. We presented an integrative, multi-layer computational framework to highlight proteins associated with AD-related brain changes using imaging, proteomic, genetic, and network-based analyses. Utilizing data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), we combined cerebrospinal fluid (CSF) proteomics with structural brain MRI features through a supervised multi-omics integration method. This approach enabled the identification of key proteins linked to imaging traits. To contextualize these findings, proteins were mapped to their corresponding genes, investigated AD brain-imaging genetic associations through genome-wide association studies (GWAS) and applied network-based analyses. Proteins highlighted from both analyses were further verified in brain-specific databases to assess their functional roles, recurrence across studies, and spatial expression. Five proteins – <i>APP, VGF, APOE, SCG3,</i> and <i>NCAN</i> – were consistently associated with imaging-derived traits and are implicated in neurodegenerative mechanisms. This study highlights the critical role of integrating imaging and proteomic data as part of the genotype-to-phenotype roadmap for AD, revealing molecular underpinnings of brain changes and offering a blueprint for the development of targeted therapeutic strategies.
DOI: 10.6084/m9.figshare.30565407.v1
title: Integrative analysis of proteomic and mri data reveals protein associations with brain imaging features in Alzheimer’s disease

description: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia worldwide. Despite extensive research, the complex molecular mechanisms underlying AD remain incompletely understood, limiting diagnostic and therapeutic advancements. We presented an integrative, multi-layer computational framework to highlight proteins associated with AD-related brain changes using imaging, proteomic, genetic and network-based analyses. Utilizing data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), we combined cerebrospinal fluid (CSF) proteomics with structural brain MRI features through a supervised multi-omics integration method. This approach enabled the identification of key proteins linked to imaging traits. To contextualize these findings, proteins were mapped to their corresponding genes, investigated AD brain-imaging genetic associations through genome-wide association studies (GWAS) and applied network-based analyses. Proteins highlighted from both analyses were further verified in brain-specific databases to assess their functional roles, recurrence across studies, and spatial expression. Five proteins -APP, VGF, APOE, SCG3, and NCAN- were consistently associated with imaging-derived traits and are implicated in neurodegenerative mechanisms. This study highlights the critical role of integrating imaging and proteomic data as part of the genotype-to-phenotype roadmap for AD, revealing molecular underpinnings of brain changes and offering a blueprint for the development of targeted therapeutic strategies.
DOI: 10.6084/m9.figshare.30933942
title: HLA and non-HLA antibody profiling in the urine of kidney transplant recipients

description: Kidney transplantation is the preferred therapy for end-stage renal disease (ESRD), yet long-term graft survival remains limited. Effective preservation of transplanted kidneys is essential amid a persistent organ shortage. Post-transplant graft injury arises from both immune and nonimmune mechanisms. Advances in multi-omic technologies have increasingly unraveled pathways underlying graft rejection and tolerance. While most studies have centered on intragraft immune-cell infiltration and circulating biomarkers, the role of antibodies in acute rejection and other graft injuries is not fully studied. In this exploratory study, we employed a high-throughput antibody-profiling microarray to quantitatively assess IgG antibodies against Human Leukocyte Antigen (HLA) and non-HLA (nHLA) in urine samples from kidney transplant recipients experiencing graft injury, including acute rejection. We identified multiple HLA and nHLA antibodies that were selectively enriched in urine at the time of graft injury and acute rejection, indicating antigen-specific humoral responses detectable at the site of injury. This first-of-its-kind urinary antibody-profiling study reveals promising antibody signatures associated with graft injury. These findings support the potential development of noninvasive, personalized biomarkers for routine monitoring and earlier detection of rejection in kidney transplant recipients.
DOI: 10.6084/m9.figshare.30933942.v1
title: HLA and non-HLA antibody profiling in the urine of kidney transplant recipients

description: Kidney transplantation is the preferred therapy for end-stage renal disease (ESRD), yet long-term graft survival remains limited. Effective preservation of transplanted kidneys is essential amid a persistent organ shortage. Post-transplant graft injury arises from both immune and nonimmune mechanisms. Advances in multi-omic technologies have increasingly unraveled pathways underlying graft rejection and tolerance. While most studies have centered on intragraft immune-cell infiltration and circulating biomarkers, the role of antibodies in acute rejection and other graft injuries is not fully studied. In this exploratory study, we employed a high-throughput antibody-profiling microarray to quantitatively assess IgG antibodies against Human Leukocyte Antigen (HLA) and non-HLA (nHLA) in urine samples from kidney transplant recipients experiencing graft injury, including acute rejection. We identified multiple HLA and nHLA antibodies that were selectively enriched in urine at the time of graft injury and acute rejection, indicating antigen-specific humoral responses detectable at the site of injury. This first-of-its-kind urinary antibody-profiling study reveals promising antibody signatures associated with graft injury. These findings support the potential development of noninvasive, personalized biomarkers for routine monitoring and earlier detection of rejection in kidney transplant recipients.
DOI: 10.5281/zenodo.18102765
title: A Research Study – Bridging Diagnostic Gaps: The Impact of Portable Ultrasound on Maternal Anxiety and Fetal Attachment in Rural Areas

description: This research study examines the role of portable ultrasound technology in reducing maternal anxiety and strengthening maternal–fetal attachment in low-resource and rural settings. Using a cross-sectional survey of 156 pregnant women from both underserved and urban communities, the study compares psychological outcomes based on access to diagnostic ultrasound. Findings reveal that limited ultrasound access is strongly associated with heightened anxiety and reduced fetal attachment, particularly among women with prior pregnancy loss, while regular access provides reassurance and emotional bonding. The study highlights portable ultrasound as a low-cost, scalable intervention with significant implications for maternal mental health, prenatal care equity, and community-based healthcare delivery in underserved regions.
DOI: 10.5281/zenodo.18102766
title: A Research Study – Bridging Diagnostic Gaps: The Impact of Portable Ultrasound on Maternal Anxiety and Fetal Attachment in Rural Areas

description: This research study examines the role of portable ultrasound technology in reducing maternal anxiety and strengthening maternal–fetal attachment in low-resource and rural settings. Using a cross-sectional survey of 156 pregnant women from both underserved and urban communities, the study compares psychological outcomes based on access to diagnostic ultrasound. Findings reveal that limited ultrasound access is strongly associated with heightened anxiety and reduced fetal attachment, particularly among women with prior pregnancy loss, while regular access provides reassurance and emotional bonding. The study highlights portable ultrasound as a low-cost, scalable intervention with significant implications for maternal mental health, prenatal care equity, and community-based healthcare delivery in underserved regions.
DOI: 10.6084/m9.figshare.30977008
title: <b>Prediction of corrosion rate of amorphous alloy coatings using interpretable machine learning</b>

description: source files
DOI: 10.6084/m9.figshare.30977008.v1
title: <b>Prediction of corrosion rate of amorphous alloy coatings using interpretable machine learning</b>

description: source files
DOI: 10.15468/dl.ptzbag
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Shiny Cowbird, Molothrus bonariensis (Gmelin, 1789) (Aves: Icteridae), at 2,800 m asl in Quito, Ecuador"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069536-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16882893
title: Temperature-Dependent Locomotion Data of the Hissing Cockroach (Gromphadorhina portentosa)

description: This dataset contains locomotion data from 45 Gromphadorhina portentosa (Madagascar hissing cockroaches) recorded under six controlled temperature conditions: 18°C, 22°C, 26°C, 30°C, 34°C, and 38°C.

Each trial of 25 minutes is stored in an individual CSV file and includes the following parameters:





PID_OUTPUT and PWM – Status of the heating/cooling fan control system.




PROM_TEMP – Average temperature inside the environmental control chamber.




SHT1_TEMPERATURE, SHT1_HUMIDITY – Temperature and humidity from the first SHT45 high-precision sensor.




SHT2_TEMPERATURE, SHT2_HUMIDITY – Temperature and humidity from the second SHT45 high-precision sensor.




GY30_LUX – Light intensity measured by the first GY-30 high-precision sensor.




GY302_LUX – Light intensity measured by the second GY-30 high-precision sensor.




MOUSE1_X, MOUSE1_Y – X and Y positions from the first optical mouse (frontal movement).




MOUSE2_X, MOUSE2_Y – X and Y positions from the second optical mouse (lateral movement).



Aditionally, a file with a complete resume of the tests as well as population variables such as gender, length or life-status is also included for a better analysis.

These data enable the analysis of locomotion patterns under varying thermal conditions and support research in animal behavior, environmental physiology, and bio-robotics.

!!!!IMPORTANT NOTE TO THIS VERSION!!!!!!

When captured, the system was missing a constant for adjusting values to the circunference of the spherical threadmill (optical mice were calibrated to measure the diameter). While this constant was considered in the statistical analysis of the already available publications, it was not considered in this dataset. Version V.2 already contains the adjusted data for making easier the analysis.

We have proved that the statistical analysis presented in the publications is not affected by this adjustment but the quantitative values can vary. In the publications this is not a problem as it was also considered but, in case of using this data for your own research and need the specific quantitative values and not the behavioral differences between them, use version 2.
DOI: 10.5281/zenodo.16882892
title: Temperature-Dependent Locomotion Data of the Hissing Cockroach (Gromphadorhina portentosa)

description: This dataset contains locomotion data from 45 Gromphadorhina portentosa (Madagascar hissing cockroaches) recorded under six controlled temperature conditions: 18°C, 22°C, 26°C, 30°C, 34°C, and 38°C.

Each trial of 25 minutes is stored in an individual CSV file and includes the following parameters:





PID_OUTPUT and PWM – Status of the heating/cooling fan control system.




PROM_TEMP – Average temperature inside the environmental control chamber.




SHT1_TEMPERATURE, SHT1_HUMIDITY – Temperature and humidity from the first SHT45 high-precision sensor.




SHT2_TEMPERATURE, SHT2_HUMIDITY – Temperature and humidity from the second SHT45 high-precision sensor.




GY30_LUX – Light intensity measured by the first GY-30 high-precision sensor.




GY302_LUX – Light intensity measured by the second GY-30 high-precision sensor.




MOUSE1_X, MOUSE1_Y – X and Y positions from the first optical mouse (frontal movement).




MOUSE2_X, MOUSE2_Y – X and Y positions from the second optical mouse (lateral movement).



Aditionally, a file with a complete resume of the tests as well as population variables such as gender, length or life-status is also included for a better analysis.

These data enable the analysis of locomotion patterns under varying thermal conditions and support research in animal behavior, environmental physiology, and bio-robotics.
DOI: 10.15468/cyf26g
title: Asian species of the little-known subgenus Lagria (Lagriella) (Coleoptera, Tenebrionidae, Lagriinae), with a new species and the first record from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhou, Yong, Chen, Bin (2025): Asian species of the little-known subgenus Lagria (Lagriella) (Coleoptera, Tenebrionidae, Lagriinae), with a new species and the first record from China. ZooKeys 1265: 87-101, DOI: 10.3897/zookeys.1265.171898AbstractThe little-known subgenus Lagria (Lagriella) Borchmann, 1916 is characterized by pronounced sexual dimorphism, notably manifested in apterous females. In this paper, the Asian species of Lagria (Lagriella) are reviewed, including three known species, Lagria (Lagriella) bimarginata Fairmaire, 1896, L. (Lagriella) andrewesi Borchmann, 1916, L. (Lagriella) mima Borchmann, 1916, and the newly described L. (Lagriella) cordata sp. nov. from Guangxi, Guizhou, Hong Kong, Hunan, China. The new species represents the first record of the subgenus in China. Lectotypes are designated for L. (Lagriella) andrewesi and L. (Lagriella) mima. Habitus images, key diagnostic characters, ecological habitats of the new species, and type habitus of three known Asian species are documented. An identification key to the four Asian species is also provided.
DOI: 10.48324/dandi.001688/0.251231.0329
title: EMUsort Rat Datasets (Acquired): high-resolution multichannel EMG recordings with 3D motion tracking during treadmill locomotion

description: This Dandiset contains 3 high-resolution EMG recordings (16-channel bipolar) from rat triceps brachii along with synchronized 3D motion tracking for 10 keypoints during treadmill locomotion. The motion tracking was acquired at 125Hz using 4 BlackFly S cameras (BFS-U3-16S2M-CS) and labeled with DeepLabCut. The calibration and triangulation was performed with Anipose and this Dandiset contains the 3D points outputted in the pose-3d folder, along with the confidence values. A small proportion of these values (outliers) were interpolated by the cubic spline method if they had a confidence below 0.8 or if crossing a jump threshold of 6 pixels compared to a 7-frame median-filtered history (i.e., score_threshold=0.8, medfilt=7, offset_threshold=6, see Anipose documentation). The interpolation of a time point is represented by a NaN value for the confidence score of a given keypoint. No further filtering was performed on the 3D pose estimates. Along with these, this Dandiset also contains labels for the initial contact and initial swing times for the forelimb palm of the implanted side (left; i.e., palm_L).
DOI: 10.15468/dl.6r4mzt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Shiny Cowbird, Molothrus bonariensis (Gmelin, 1789) (Aves: Icteridae), at 2,800 m asl in Quito, Ecuador"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069537-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14349886
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.18058130
title: Materiais de Apoio - TCC [Lucas Gabriel Oliveira da Silva]

description: Este repositório contém os artefatos e dados coletados para o Trabalho de Conclusão de Curso de Lucas Gabriel Oliveira da Silva. Inclui o código-fonte da aplicação desenvolvida (API e Front-end) e as respostas dos formulários aplicados durante os experimentos de usabilidade.
DOI: 10.15468/dl.4493mx
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus lycioides"
 ]
}

 The dataset includes 117 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069538-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16866954
title: Data for "An observational-data-based theoretical assessment of the impact of intact polar lipids on peat brGDGT-based paleotemperature reconstruction"
DOI: 10.5281/zenodo.18102867
title: Data for "An observational-data-based theoretical assessment of the impact of intact polar lipids on peat brGDGT-based paleotemperature reconstruction"
DOI: 10.5281/zenodo.18102895
title: Materiais de Apoio - TCC

description: Este repositório contém os artefatos e dados coletados para o Trabalho de Conclusão de Curso de Lucas Gabriel Oliveira da Silva. Inclui as respostas dos formulários aplicados durante os experimentos de usabilidade, o Protótipo, o Termo de Concentimento e o Registro do Experimento.
DOI: 10.5281/zenodo.18102896
title: Materiais de Apoio - TCC

description: Este repositório contém os artefatos e dados coletados para o Trabalho de Conclusão de Curso de Lucas Gabriel Oliveira da Silva. Inclui as respostas dos formulários aplicados durante os experimentos de usabilidade, o Protótipo, o Termo de Concentimento e o Registro do Experimento.
DOI: 10.5281/zenodo.18102823
title: Materiais de Apoio - TCC

description: Este repositório contém os artefatos e dados coletados para o Trabalho de Conclusão de Curso de Lucas Gabriel Oliveira da Silva. Inclui as respostas dos formulários aplicados durante os experimentos de usabilidade, o Protótipo, o Termo de Concentimento e o Registro do Experimento.
DOI: 10.6084/m9.figshare.30977023.v1
title: Chile's forest age in 2024 at a resolution of 30 meters

description: NF stands for natural forest, and PF stands for plantation forest.
DOI: 10.6084/m9.figshare.30977023
title: Chile's forest age in 2024 at a resolution of 30 meters

description: NF stands for natural forest, and PF stands for plantation forest.
DOI: 10.57760/sciencedb.34615
title: Dataset of Near real-time inversion of high-resolution anthropogenic carbon emissions in the Pearl River Delta region based on the four-dimensional local ensemble transform Kalman filter
title: Dataset of Near real-time inversion of high-resolution anthropogenic carbon emissions in the Pearl River Delta region based on the four-dimensional local ensemble transform Kalman filter

description: This study developed a kilometer-scale carbon assimilation system (the Guangzhou Regional Atmospheric Composition and Environment Forecasting System–Greenhouse Gas–Data Assimilation, GRACES-GHG-DA) by coupling the weather research and forecasting–greenhouse gas (WRF-GHG) model with the four-dimensional local ensemble transform Kalman filter (4D-LETKF). GRACES-GHG-DA generates a near-real-time 4-km anthropogenic emission inventory. The simulated CO2 concentration was constrained by seven greenhouse gas monitoring stations in the Pearl River Delta (PRD) region.Sources of meteorological fields and a priori sources included the FNL (Final) Operational Global Analysis data set ,the MOD09A1V6.1 product, the CO₂ concentration fields from the CarbonTracker products, and four anthropogenic CO₂ emission inventories(EDGAR V7.0 ,ODIAC v2023,GCP-GridFEDv2023.1 and MEICv2.0). The results of this study provide a robust scientific basis for advancing the dynamic updating and quantitative evaluation of anthropogenic emissions across meso- to microscale domains.
description: This study developed a kilometer-scale carbon assimilation system (the Guangzhou Regional Atmospheric Composition and Environment Forecasting System–Greenhouse Gas–Data Assimilation, GRACES-GHG-DA) by coupling the weather research and forecasting–greenhouse gas (WRF-GHG) model with the four-dimensional local ensemble transform Kalman filter (4D-LETKF). GRACES-GHG-DA generates a near-real-time 4-km anthropogenic emission inventory. The simulated CO2 concentration was constrained by seven greenhouse gas monitoring stations in the Pearl River Delta (PRD) region.Sources of meteorological fields and a priori sources included the FNL (Final) Operational Global Analysis data set ,the MOD09A1V6.1 product, the CO₂ concentration fields from the CarbonTracker products, and four anthropogenic CO₂ emission inventories(EDGAR V7.0 ,ODIAC v2023,GCP-GridFEDv2023.1 and MEICv2.0). The results of this study provide a robust scientific basis for advancing the dynamic updating and quantitative evaluation of anthropogenic emissions across meso- to microscale domains.
DOI: 10.15468/dl.3cu6gr
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Shiny Cowbird, Molothrus bonariensis (Gmelin, 1789) (Aves: Icteridae), at 2,800 m asl in Quito, Ecuador"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069539-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.