cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e245135
title: Abortion Pills In Al Ain| )][(་༘࿐✓|+971521553488 )][(───୨900ৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Al Ain

description: Abortion Pills In Al Ain| )][(་༘࿐✓|+971521553488 )][(───୨900ৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Al AinAbortion Pills In Al Ain| )][(་༘࿐✓|+971521553488 )][(───୨900ৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Al AinAbortion Pills In Al Ain| )][(་༘࿐✓|+971521553488 )][(───୨900ৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Al Ain
DOI: 10.15468/dl.353s8j
title: Occurrence Download

description: A dataset containing 13475 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is 3492d3bb-0ca5-4605-851a-82e4edbc6acd"
 ]
}

 The dataset includes 13475 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010820-260208012135463/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.30759095
title: FePTP: A text-mined dataset of transformation pathways among iron-containing phases

description: Iron, the most abundant element on Earth by mass (34.6%), primarily exists as iron minerals due to its inherent reactivity. The study of iron mineral phase transformations under changing environmental conditions remains an important research focus due to its geological, environmental, and industrial significance. Yet, the complexity of the system prevents the development of a universal principle to interpret phase transformation behaviors across diverse environmental conditions. An alternative approach is to employ data-driven methods to obtain approximate predictive results. Nevertheless, the data concerning iron-containing phase transformations remain fragmented due to a lack of standardized integration, hindering the advancement of related research. To address this gap, we have developed an automated pipeline that extracts and curates iron-containing phase transformation pathways, creating the first text-mined dataset of 11,241 pathways. Each record includes the precursor/product phases, reaction category, procedures, and associated parameters, as well as the extent of transformation and reaction equations, providing a comprehensive foundation for advancing data-driven research.
DOI: 10.6084/m9.figshare.30759095.v2
title: FePTP: A text-mined dataset of transformation pathways among iron-containing phases

description: Iron, the most abundant element on Earth by mass (34.6%), primarily exists as iron minerals due to its inherent reactivity. The study of iron mineral phase transformations under changing environmental conditions remains an important research focus due to its geological, environmental, and industrial significance. Yet, the complexity of the system prevents the development of a universal principle to interpret phase transformation behaviors across diverse environmental conditions. An alternative approach is to employ data-driven methods to obtain approximate predictive results. Nevertheless, the data concerning iron-containing phase transformations remain fragmented due to a lack of standardized integration, hindering the advancement of related research. To address this gap, we have developed an automated pipeline that extracts and curates iron-containing phase transformation pathways, creating the first text-mined dataset of 11,241 pathways. Each record includes the precursor/product phases, reaction category, procedures, and associated parameters, as well as the extent of transformation and reaction equations, providing a comprehensive foundation for advancing data-driven research.
DOI: 10.6084/m9.figshare.30759095.v1
title: FePTP: A text-mined dataset of transformation pathways among iron-containing phases

description: Iron, the most abundant element on Earth by mass (34.6%), primarily exists as iron minerals due to its inherent reactivity. The study of iron mineral phase transformations under changing environmental conditions remains an important research focus due to its geological, environmental, and industrial significance. Yet, the complexity of the system prevents the development of a universal principle to interpret phase transformation behaviors across diverse environmental conditions. An alternative approach is to employ data-driven methods to obtain approximate predictive results. Nevertheless, the data concerning iron-containing phase transformations remain fragmented due to a lack of standardized integration, hindering the advancement of related research. To address this gap, we have developed an automated pipeline that extracts and curates iron-containing phase transformation pathways, creating the first text-mined dataset of 11,241 pathways. Each record includes the precursor/product phases, reaction category, procedures, and associated parameters, as well as the extent of transformation and reaction equations, providing a comprehensive foundation for advancing data-driven research.
DOI: 10.21227/ytkb-n530
title: "IIHM \u2013 Shaping Future Chefs with Professional Culinary Education Across India"

description: "IIHM shapes future chefs with professional culinary education across India, offering industry-focused training, global exposure, modern kitchens, and strong placement support."
DOI: 10.6084/m9.figshare.31290502
title: MedSparseFL: Sparse and Privacy-Preserving Federated Learning for Healthcare Applications

description: This project provides processed data indexes for reproducing experiments from the MedSparseFL study, a sparse and privacy-preserving federated learning framework for healthcare applications. The datasets include CheXpert and HAM10000. For each dataset, CSV files (chexpert_index.csv and ham10000_index.csv) contain:Image IDs referencing the official dataset filesLabels used in classification tasksTrain/Validation/Test splits for experiment reproducibilityThe uploaded files do not include original medical images, ensuring compliance with privacy and ethical standards. Researchers can reconstruct the experiments by downloading the original datasets from official sources and following the provided indexes. These files support reproducibility and verification of MedSparseFL’s performance in medical imaging tasks under privacy-preserving federated learning settings.
DOI: 10.6084/m9.figshare.31290502.v2
title: MedSparseFL: Sparse and Privacy-Preserving Federated Learning for Healthcare Applications

description: This project provides processed data indexes for reproducing experiments from the MedSparseFL study, a sparse and privacy-preserving federated learning framework for healthcare applications. The datasets include CheXpert and HAM10000. For each dataset, CSV files (chexpert_index.csv and ham10000_index.csv) contain:Image IDs referencing the official dataset filesLabels used in classification tasksTrain/Validation/Test splits for experiment reproducibilityThe uploaded files do not include original medical images, ensuring compliance with privacy and ethical standards. Researchers can reconstruct the experiments by downloading the original datasets from official sources and following the provided indexes. These files support reproducibility and verification of MedSparseFL’s performance in medical imaging tasks under privacy-preserving federated learning settings.
DOI: 10.6084/m9.figshare.31290502.v1
title: MedSparseFL: Sparse and Privacy-Preserving Federated Learning for Healthcare Applications

description: This project provides processed data indexes for reproducing experiments from the MedSparseFL study, a sparse and privacy-preserving federated learning framework for healthcare applications. The datasets include CheXpert and HAM10000. For each dataset, CSV files (chexpert_index.csv and ham10000_index.csv) contain:Image IDs referencing the official dataset filesLabels used in classification tasksTrain/Validation/Test splits for experiment reproducibilityThe uploaded files do not include original medical images, ensuring compliance with privacy and ethical standards. Researchers can reconstruct the experiments by downloading the original datasets from official sources and following the provided indexes. These files support reproducibility and verification of MedSparseFL’s performance in medical imaging tasks under privacy-preserving federated learning settings.
DOI: 10.6084/m9.figshare.30857777
title: <b>A chromosome-level genome assembly of greasyback shrimp</b>

description: The greasyback shrimp (<i>Metapenaeus ensis</i>) is an ecologically adaptable and economically important penaeid species. Here, we present its first chromosome-level genome assembly, generated by an integrated approach combining long-read Oxford Nanopore (ONT) and short-read Illumina sequencing, followed by Hi-C scaffolding.
DOI: 10.6084/m9.figshare.30857777.v1
title: <b>A chromosome-level genome assembly of greasyback shrimp </b>

description: The greasyback shrimp (<i>Metapenaeus ensis</i>) is an ecologically adaptable and economically important penaeid species. Here, we present its first chromosome-level genome assembly, generated by an integrated approach combining long-read Oxford Nanopore (ONT) and short-read Illumina sequencing, followed by Hi-C scaffolding.
DOI: 10.6084/m9.figshare.30857777.v2
title: <b>A chromosome-level genome assembly of greasyback shrimp</b>

description: The greasyback shrimp (<i>Metapenaeus ensis</i>) is an ecologically adaptable and economically important penaeid species. Here, we present its first chromosome-level genome assembly, generated by an integrated approach combining long-read Oxford Nanopore (ONT) and short-read Illumina sequencing, followed by Hi-C scaffolding.
DOI: 10.15468/dl.b4k3wz
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castela coccinea",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 335 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010821-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e245136
title: Abortion Pills In Al Ain| )][(་༘࿐✓|+971521553488 )][(───୨900ৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Al Ain

description: Abortion Pills In Al Ain| )][(་༘࿐✓|+971521553488 )][(───୨900ৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Al AinAbortion Pills In Al Ain| )][(་༘࿐✓|+971521553488 )][(───୨900ৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Al AinAbortion Pills In Al Ain| )][(་༘࿐✓|+971521553488 )][(───୨900ৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Al AinAbortion Pills In Al Ain| )][(་༘࿐✓|+971521553488 )][(───୨900ৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Al AinAbortion Pills In Al Ain| )][(་༘࿐✓|+971521553488 )][(───୨900ৎ───( APPROVED FULL KIT ), | Mifepristone And Misoprostol Medicine Available In Al Ain
DOI: 10.34740/kaggle/dsv/14814918
title: Glioblastoma MRI Dataset
DOI: 10.25502/shqk-3j92/d
title: Diversity of pathogens associated to cassava root rotting in Cameroon
DOI: 10.6084/m9.figshare.31323082
title: MedSparseFL: Sparse and Privacy-Preserving Federated Learning for Healthcare Applications

description: This project provides processed data indexes for reproducing experiments from the MedSparseFL study, a sparse and privacy-preserving federated learning framework for healthcare applications. The datasets include CheXpert and HAM10000. For each dataset, CSV files (chexpert_index.csv and ham10000_index.csv) contain:Image IDs referencing the official dataset filesLabels used in classification tasksTrain/Validation/Test splits for experiment reproducibility
DOI: 10.6084/m9.figshare.31323082.v1
title: MedSparseFL: Sparse and Privacy-Preserving Federated Learning for Healthcare Applications

description: This project provides processed data indexes for reproducing experiments from the MedSparseFL study, a sparse and privacy-preserving federated learning framework for healthcare applications. The datasets include CheXpert and HAM10000. For each dataset, CSV files (chexpert_index.csv and ham10000_index.csv) contain:Image IDs referencing the official dataset filesLabels used in classification tasksTrain/Validation/Test splits for experiment reproducibility
DOI: 10.15468/dl.vtkxdx
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alstroemeria aurea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010822-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jejrtz
title: Occurrence Download

description: A dataset containing 1335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Cyperus amuricus"
 ]
}

 The dataset includes 1335 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010823-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2290392672
title: Structural Biology in Marseille

description: The BAG groups 9 teams from 6 Marseille laboratories. Mutual understanding amongst all PIs provides a solid base for efficient organization of the BAG. Research revolves around infection, health and biotechnology. For the next beam time allocation period (6 months) we could make efficient use of 12 MX and 2 SAXS shifts. Three teams combine structural biology with medicinal chemistry and beam time at MASSIF for large ligand-screening campaigns will mostly suit their purpose. Access to beamlines with tunable energy will be instrumental for projects requiring experimental phasing. One team uses exclusively Bio-SAXS. Allocation of one shift per session would be welcomed. Remote access for MX sessions has become very popular whereas scientists prefer to be on-site for Bio-SAXS experiments. The BAG uses also beam time at Synchrotron SOLEIL and overlap in experiment scheduling engenders in certain instances beam time cancellations.
DOI: 10.15151/esrf-es-2304061456
title: The Israeli BAG

description: This Summary will only portray a very limited scope of the BAG proposal due to its size and more information will be available in the Global Summary. We plan establish a comprehensive structural narrative for the assembly and entry of viruses from the Bunyavirales family using X-ray crystallography, biophysics, biochemistry, and molecular virology. Using X-ray crystallography to obtain the 3D structure of GN and GC in different conformations and from different bunyavituses. We will pursue a structure of GN or GC bound to a neutralizing antibody to obtain new data for vaccine design. In the SAXS arena, we plan to continue the study on MT (microtubules) and expand the experiments with different nucleotide type and concentrations, (GTP, GDP, GMPCPP, and GMPPCP, GTP-gammaS). We will perform at selected points SEC-SAXS experiments in the presence of full-length tau (4RL). Our preliminary data revealed that 4RL promote MT assembly at 36C and of single tubulin rings at low temperatures.
DOI: 10.15468/dl.z2p3yn
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sarcolobus globosus"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010826-260208012135463/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.31322627
title: Identification and validation of AFAP1L1 as an immune-related prognostic biomarker in clear cell renal cell carcinoma

description: Clear cell renal cell carcinoma (ccRCC) accounts for over 75% of all renal cancer and contributes significantly to cancer-associated mortality. This study aims to identify a new ccRCC biomarker. Univariate and multivariate Cox regression models were performed for prognostic analysis. Differentially expressed genes (DEGs) were identified based on high and low expression AFAP1L1 groups. Functional enrichment analysis was conducted on the DEGs. Immunoassays were conducted on immune checkpoints, immune cells, and other components. Single-cell expression of AFAP1L1, along with associated pseudo-temporal trajectory analyses, was evaluated. The Connectivity Map was employed to identify potentially small-molecules. AFAP1L1 mRNA expression was measured via quantitative real-time PCR (qRT-PCR) experiment. AFAP1L1 was significantly upregulated in training cohort and qRT-PCR, and lower expression level was correlated with shorter overall survival, which was also confirmed in E-MTAB-1980 and CPTAC validation cohorts. The upregulated DEGs were primarily involved in signaling pathways, nephron development, and transporter activity. AFAP1L1 was positively related with neutrophils and macrophages. AFAP1L1 exhibited a relatively higher expression level in endothelial cells at the single-cell level. Five potential therapeutic agents targeting ccRCC were identified. AFAP1L1 may impact the ccRCC development and progression, acting as an immune-related prognostic marker for ccRCC.
DOI: 10.6084/m9.figshare.31322627.v1
title: Identification and validation of AFAP1L1 as an immune-related prognostic biomarker in clear cell renal cell carcinoma

description: Clear cell renal cell carcinoma (ccRCC) accounts for over 75% of all renal cancer and contributes significantly to cancer-associated mortality. This study aims to identify a new ccRCC biomarker. Univariate and multivariate Cox regression models were performed for prognostic analysis. Differentially expressed genes (DEGs) were identified based on high and low expression AFAP1L1 groups. Functional enrichment analysis was conducted on the DEGs. Immunoassays were conducted on immune checkpoints, immune cells, and other components. Single-cell expression of AFAP1L1, along with associated pseudo-temporal trajectory analyses, was evaluated. The Connectivity Map was employed to identify potentially small-molecules. AFAP1L1 mRNA expression was measured via quantitative real-time PCR (qRT-PCR) experiment. AFAP1L1 was significantly upregulated in training cohort and qRT-PCR, and lower expression level was correlated with shorter overall survival, which was also confirmed in E-MTAB-1980 and CPTAC validation cohorts. The upregulated DEGs were primarily involved in signaling pathways, nephron development, and transporter activity. AFAP1L1 was positively related with neutrophils and macrophages. AFAP1L1 exhibited a relatively higher expression level in endothelial cells at the single-cell level. Five potential therapeutic agents targeting ccRCC were identified. AFAP1L1 may impact the ccRCC development and progression, acting as an immune-related prognostic marker for ccRCC.
DOI: 10.15151/esrf-es-2287257057
title: Spain BAG for the 3D structure determination and dynamics of biological and non-biological samples using SSX and TR-SSX methods.

description: This BAG proposal aims to advance SX studies at ID29. We will investigate the structural dynamics and reaction mechanisms of enzymes and materials relevant to human health and biocatalysis. Our studies focus on AnmK, which catalyzes peptidoglycan recycling in P. aeruginosa; human Fascin1, an actin-bundling protein linked to cancer metastasis; NQO1, a flavoenzyme involved in antioxidant defense; and FNR/FPR, key electron transfer proteins with distinct NADP+/H binding properties. Additionally, we will study FFTR enzymes and purine-metabolizing IMPDH/GMPR to understand their regulatory mechanisms. Beyond enzymes, we propose pump-probe TR experiments on MOFs to capture structural transitions during catalysis and activation. Crystallization and preliminary diffraction tests were performed at ID29, confirming sample quality. Using ID29’s diverse sample delivery methods, we will employ SSX and TR-SX techniques to capture reaction intermediates and conformational transitions in these systems.
DOI: 10.6084/m9.figshare.31323121.v1
title: Sociodemographic, clinical, and behavioral determinants of treatment adherence in acne vulgaris: a multicenter study

description: This multicenter study aimed to evaluate treatment adherence and satisfaction among patients with acne vulgaris. A total of 2,349 patients from 18 dermatology centers across Türkiye completed structured questionnaires. The participants were predominantly female (79.4%) with a mean age of 21.6 years. Overall, 48% reported consistent adherence to therapy, with significantly lower adherence among males (<i>p</i> &lt; 0.001). The most frequent reasons for nonadherence were forgetfulness (28.7%), dislike of the treatment (26.4%), and reluctance to maintain long-term therapy (21.5%). Treatment adherence was positively associated with higher educational levels (<i>p</i> = 0.006) and greater acne severity (<i>p</i> &lt; 0.001). Logistic regression revealed that systemic oral therapy (OR = 4.37, 95% CI: 3.147–6.086; <i>p</i> &lt; 0.001) and oral isotretinoin (OR = 4.81, 95% CI: 3.379–6.869; <i>p</i> &lt; 0.001) significantly increased adherence compared to topical therapy. Oral treatment was also independently associated with greater satisfaction (OR = 2.33, 95% CI: 1.767–3.095; <i>p</i> &lt; 0.001). Moreover, mild acne severity (OR = 1.67, 95% CI: 1.216–2.297; <i>p</i> = 0.002) and older age (per year; OR = 1.05, 95% CI: 1.020–1.088; <i>p</i> = 0.001) predicted higher satisfaction. Systemic therapies—particularly oral isotretinoin—were associated with improved adherence and satisfaction.
DOI: 10.15151/esrf-es-2342212526
title: Shear effects on self-assembled structures of oppositely charged surfactants

description: Effect of shear on spontaneous self-assembly of cationic and anionic surfactants in the micromolar concentration range will be investigated by time-resolved SAXS. Dynamics of Pd-Ag Janus particles will be probed by XPCS.