cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7262507.v1
title: Additional file 8: of OsWRKY67 positively regulates blast and bacteria blight resistance by direct activation of PR genes in rice

description: Table S2. Differentially expressed genes in OsWRKY67 overexpressing plants by RNA-seq analysis. (XLSX 26 kb)
DOI: 10.5281/zenodo.6602480
title: Maps of ecosystem multifunctionality and ecological connectivity for identifying Green Infrastructure networks in the European Alps

description: High resolution raster datasets (20 meters) containing the results of an ecological connectivity and an ecosystem multifunctionality assessment for identifying Green Infrastructure networks in 10 pilot regions of the European Alps, modelled as part of the LUIGI Interreg Alpine Space project. Pilot regions include: department of Isère (FR), departments of Savoie and Haute-Savoie (FR), Munich Metropolitan Region (DE), Central Area of Salzburg (AT), South Burgenland (AT), Goriška region (SI), South Tyrol (IT), canton of Grisons (CH), Metropolitan City of Milan (IT), and Metropolitan City of Turin (IT). For a preview of the data and the results available for each pilot region click here

Further information on the LUIGI project is available at: https://www.alpine-space.org/projects/luigi/en/home

https://webassets.eurac.edu/31538/1661510408-luigi-wp1-technical-annex-mapping-a-green-infrastructure-network-in-the-alpine-space.pdf 

The datasets include:



a map for ecosystem service-based multifunctionality calculated out of the average of 11 standardized ecosystem service indicators: water provision, crop potential, timber production, fodder provision, pollination potential, carbon sequestration, nitrogen retention, natural hazard mitigation, runoff retention, outdoor recreation, and landscape aesthetics.

a map of the modelled Ecological Network composed of core areas and ecological corridors. Corridors are modelled for medium-large forest mammal species and represent least-cost pathways connecting core areas. Different classes indicate areas with different levels of current ecological connectivity starting from core areas to areas in cities or anthropized land with no connectivity. Modeled corridors are presented in two classes to mirror different levels of prioritization and management actions.

a map of the resistance of the landscape to the movement of forest mammal species. The landscape resistance raster has been developed by reclassifying and aggregating a high resolution (5m) land use and land cover map. Resistance values have been determined in relation to the naturalness of different land use and land cover classes. In this context, land use or landscape resistance is intended as the opposite of habitat suitability.
description: All files are provided in a GeoTIFF format 
The spatial reference system is EPSG 3035 (ETRS89 / LAEA Europe).
DOI: 10.5281/zenodo.6602481
title: Maps of ecosystem multifunctionality and ecological connectivity for identifying Green Infrastructure networks in the European Alps

description: High resolution raster datasets (20 meters) containing the results of an ecological connectivity and an ecosystem multifunctionality assessment for identifying Green Infrastructure networks in 10 pilot regions of the European Alps, modelled as part of the LUIGI Interreg Alpine Space project. Pilot regions include: department of Isère (FR), departments of Savoie and Haute-Savoie (FR), Munich Metropolitan Region (DE), Central Area of Salzburg (AT), South Burgenland (AT), Goriška region (SI), South Tyrol (IT), canton of Grisons (CH), Metropolitan City of Milan (IT), and Metropolitan City of Turin (IT). For a preview of the data and the results available for each pilot region click here

Further information on the LUIGI project is available at: https://www.alpine-space.org/projects/luigi/en/home

https://webassets.eurac.edu/31538/1661510408-luigi-wp1-technical-annex-mapping-a-green-infrastructure-network-in-the-alpine-space.pdf 

The datasets include:



a map for ecosystem service-based multifunctionality calculated out of the average of 11 standardized ecosystem service indicators: water provision, crop potential, timber production, fodder provision, pollination potential, carbon sequestration, nitrogen retention, natural hazard mitigation, runoff retention, outdoor recreation, and landscape aesthetics.

a map of the modelled Ecological Network composed of core areas and ecological corridors. Corridors are modelled for medium-large forest mammal species and represent least-cost pathways connecting core areas. Different classes indicate areas with different levels of current ecological connectivity starting from core areas to areas in cities or anthropized land with no connectivity. Modeled corridors are presented in two classes to mirror different levels of prioritization and management actions.

a map of the resistance of the landscape to the movement of forest mammal species. The landscape resistance raster has been developed by reclassifying and aggregating a high resolution (5m) land use and land cover map. Resistance values have been determined in relation to the naturalness of different land use and land cover classes. In this context, land use or landscape resistance is intended as the opposite of habitat suitability.
description: All files are provided in a GeoTIFF format 
The spatial reference system is EPSG 3035 (ETRS89 / LAEA Europe).
DOI: 10.6084/m9.figshare.19321091.v1
title: Additional file 8 of Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes

description: Additional file 8. GSEA results for CASP5, CAPS8, and IL6 in this study.
DOI: 10.6084/m9.figshare.19321091
title: Additional file 8 of Prognostic signature of esophageal adenocarcinoma based on pyroptosis-related genes

description: Additional file 8. GSEA results for CASP5, CAPS8, and IL6 in this study.
DOI: 10.6084/m9.figshare.11447292
title: MOESM2 of DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions

description: Additional file 2 This file contains lists of researched drugs, verified DDIs, reliable negative samples generated by DDI-PULearn, and the detailed feature importance ranking results.• Table S1: DDI prediction results using different combinations of drug features.• Table S2: 548 drugs researched in this work.• Table S3: 45,026 reliable negative samples generated by DDI-PULearn.• Table S4: 48,584 verified DDIs in the benchmark dataset.• Table S5: Detailed feature importance ranking results by Random Forrest.• Table S6: 6602 reliable negative sample seeds generated by OCSVM and KNN (XLSX 1,661 kb).
DOI: 10.6084/m9.figshare.11447292.v1
title: MOESM2 of DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions

description: Additional file 2 This file contains lists of researched drugs, verified DDIs, reliable negative samples generated by DDI-PULearn, and the detailed feature importance ranking results.• Table S1: DDI prediction results using different combinations of drug features.• Table S2: 548 drugs researched in this work.• Table S3: 45,026 reliable negative samples generated by DDI-PULearn.• Table S4: 48,584 verified DDIs in the benchmark dataset.• Table S5: Detailed feature importance ranking results by Random Forrest.• Table S6: 6602 reliable negative sample seeds generated by OCSVM and KNN (XLSX 1,661 kb).
DOI: 10.6084/m9.figshare.9883982
title: HIF1α/miR-199a/ADM feedback loop modulates the proliferation of human dermal microvascular endothelial cells (HDMECs) under hypoxic condition

description: Hypoxia-inducible factor 1α (HIF1α) plays a protective role in the hypoxia-induced cellular injury. In the present study, we attempted to investigate the role and mechanism of HIF1αin human dermal microvascular endothelial cells (hDMECs), a common-used cell model for researches on the hypoxia-induced injury during skin wounds healing. As revealed by ChIP and online tools prediction and confirmed by luciferase reporter and ChIP assays, HIF1A can bind to the promoter regions of <i>ADM</i> and miR-199a, while miR-199a directly binds to the 3ʹUTR of <i>HIF1A</i> and <i>ADM</i>. Hypoxia stress induces HIF1α and ADM expression while inhibits miR-199a expression. Under hypoxic condition, HIF1α knockdown increases the nucleus translocation of p65 and the release of TNF-α and IL-8, inhibits the proliferation and migration, while promotes the cellular permeability in HDMECs upon hypoxic stress, while ADM overexpression and miR-199a inhibition exerted an opposite effect on HDMECs. ADM overexpression or miR-199a inhibition could partially reverse the effect of <i>HIF1A</i> knockdown under hypoxia. In summary, we demonstrate a feedback loop consists of HIF1α, miR-199a, and ADM which protect HDMECs from hypoxia-induced cellular injury by modulating the inflammation response, cell proliferation, migration and permeability in HDMECs.
DOI: 10.5281/zenodo.10534357
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2021/2022 – Romania

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/1729. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.

Reporting authorities contributing to 2022 AMR data collection: Institute of Hygiene and Veterinary Public Heath and Institute for Diagnosis and Animal Health
description: RO; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.10534358
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2021/2022 – Romania

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/1729. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.

Reporting authorities contributing to 2022 AMR data collection: Institute of Hygiene and Veterinary Public Heath and Institute for Diagnosis and Animal Health
description: RO; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.6084/m9.figshare.9883982.v1
title: HIF1α/miR-199a/ADM feedback loop modulates the proliferation of human dermal microvascular endothelial cells (HDMECs) under hypoxic condition

description: Hypoxia-inducible factor 1α (HIF1α) plays a protective role in the hypoxia-induced cellular injury. In the present study, we attempted to investigate the role and mechanism of HIF1αin human dermal microvascular endothelial cells (hDMECs), a common-used cell model for researches on the hypoxia-induced injury during skin wounds healing. As revealed by ChIP and online tools prediction and confirmed by luciferase reporter and ChIP assays, HIF1A can bind to the promoter regions of <i>ADM</i> and miR-199a, while miR-199a directly binds to the 3ʹUTR of <i>HIF1A</i> and <i>ADM</i>. Hypoxia stress induces HIF1α and ADM expression while inhibits miR-199a expression. Under hypoxic condition, HIF1α knockdown increases the nucleus translocation of p65 and the release of TNF-α and IL-8, inhibits the proliferation and migration, while promotes the cellular permeability in HDMECs upon hypoxic stress, while ADM overexpression and miR-199a inhibition exerted an opposite effect on HDMECs. ADM overexpression or miR-199a inhibition could partially reverse the effect of <i>HIF1A</i> knockdown under hypoxia. In summary, we demonstrate a feedback loop consists of HIF1α, miR-199a, and ADM which protect HDMECs from hypoxia-induced cellular injury by modulating the inflammation response, cell proliferation, migration and permeability in HDMECs.
DOI: 10.5281/zenodo.10534329
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2021/2022 – Malta

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/1729. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.

Reporting authorities contributing to 2022 AMR data collection: Ministry for Agriculture, Fisheries and Animal Rights
description: MT; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.10534330
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2021/2022 – Malta

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/1729. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.

Reporting authorities contributing to 2022 AMR data collection: Ministry for Agriculture, Fisheries and Animal Rights
description: MT; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.6084/m9.figshare.19321174
title: Additional file 2 of Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis

description: Additional file 2: TableS1.
DOI: 10.6084/m9.figshare.19321174.v1
title: Additional file 2 of Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis

description: Additional file 2: TableS1.
DOI: 10.6084/m9.figshare.19321177
title: Additional file 3 of Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis

description: Additional file 3: TableS2.
DOI: 10.6084/m9.figshare.19321177.v1
title: Additional file 3 of Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis

description: Additional file 3: TableS2.
DOI: 10.6084/m9.figshare.19321180
title: Additional file 4 of Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis

description: Additional file 4: TableS3.
DOI: 10.5281/zenodo.10534147
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2021/2022 – Finland

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/1729. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data are included.

Reporting authorities contributing to 2022 AMR data collection: Finnish Food Authority
description: FI; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.10534148
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2021/2022 – Finland

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/1729. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data are included.

Reporting authorities contributing to 2022 AMR data collection: Finnish Food Authority
description: FI; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.6084/m9.figshare.19321180.v1
title: Additional file 4 of Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis

description: Additional file 4: TableS3.
DOI: 10.6084/m9.figshare.19321183
title: Additional file 5 of Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis

description: Additional file 5: TableS4.
DOI: 10.6084/m9.figshare.19321183.v1
title: Additional file 5 of Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis

description: Additional file 5: TableS4.
DOI: 10.5281/zenodo.10534108
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2021/2022 – Luxembourg

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/1729. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.

Reporting authorities contributing to 2022 AMR data collection: Administration des services vétérinaires
description: LU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.10534109
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2021/2022 – Luxembourg

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/1729. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.

Reporting authorities contributing to 2022 AMR data collection: Administration des services vétérinaires
description: LU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.6084/m9.figshare.19321186
title: Additional file 6 of Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis

description: Additional file 6: TableS5.
DOI: 10.6084/m9.figshare.19321186.v1
title: Additional file 6 of Long non-coding RNA LINC00680 functions as a ceRNA to promote esophageal squamous cell carcinoma progression through the miR-423-5p/PAK6 axis

description: Additional file 6: TableS5.
DOI: 10.6084/m9.figshare.19321192.v1
title: Additional file 2 of TraSig: inferring cell-cell interactions from pseudotime ordering of scRNA-Seq data

description: Additional file 2 Table S1.
DOI: 10.6084/m9.figshare.19321192
title: Additional file 2 of TraSig: inferring cell-cell interactions from pseudotime ordering of scRNA-Seq data

description: Additional file 2 Table S1.
DOI: 10.6084/m9.figshare.19321187
title: Additional file 3 of Alcohol and cannabis use during the COVID-19 pandemic among transgender, gender-diverse, and cisgender adults in Canada

description: Additional file 3. Survey data.
DOI: 10.6084/m9.figshare.19321187.v1
title: Additional file 3 of Alcohol and cannabis use during the COVID-19 pandemic among transgender, gender-diverse, and cisgender adults in Canada

description: Additional file 3. Survey data.
DOI: 10.6084/m9.figshare.19321109
title: Additional file 3 of Network pharmacology analysis reveals neuroprotection of Gynostemma pentaphyllum (Thunb.) Makino in Alzheimer’ disease

description: Additional file 3: Table-S3. 722 AD-associated target proteins of Homo sapiens from OMIM, TTD and Gene Cards were regarded as the substantially contributing proteins.
DOI: 10.6084/m9.figshare.19321118.v1
title: Additional file 5 of Network pharmacology analysis reveals neuroprotection of Gynostemma pentaphyllum (Thunb.) Makino in Alzheimer’ disease

description: Additional file 5: Table-S5. Result of the KEGG pathway enrichment analysis of GpM.
DOI: 10.6084/m9.figshare.19321103
title: Additional file 1 of Network pharmacology analysis reveals neuroprotection of Gynostemma pentaphyllum (Thunb.) Makino in Alzheimer’ disease

description: Additional file 1: Table-S1. Result of 13 candidate compounds of GpM.
DOI: 10.6084/m9.figshare.19321103.v1
title: Additional file 1 of Network pharmacology analysis reveals neuroprotection of Gynostemma pentaphyllum (Thunb.) Makino in Alzheimer’ disease

description: Additional file 1: Table-S1. Result of 13 candidate compounds of GpM.
DOI: 10.6084/m9.figshare.19321115
title: Additional file 4 of Network pharmacology analysis reveals neuroprotection of Gynostemma pentaphyllum (Thunb.) Makino in Alzheimer’ disease

description: Additional file 4: Table-S4: Result of 337 GO terms enrichment of GpM3.
DOI: 10.6084/m9.figshare.19321106
title: Additional file 2 of Network pharmacology analysis reveals neuroprotection of Gynostemma pentaphyllum (Thunb.) Makino in Alzheimer’ disease

description: Additional file 2: Table-S2. Result of 168 putative target proteins of GpM.
DOI: 10.6084/m9.figshare.19321106.v1
title: Additional file 2 of Network pharmacology analysis reveals neuroprotection of Gynostemma pentaphyllum (Thunb.) Makino in Alzheimer’ disease

description: Additional file 2: Table-S2. Result of 168 putative target proteins of GpM.
DOI: 10.6084/m9.figshare.19321109.v1
title: Additional file 3 of Network pharmacology analysis reveals neuroprotection of Gynostemma pentaphyllum (Thunb.) Makino in Alzheimer’ disease

description: Additional file 3: Table-S3. 722 AD-associated target proteins of Homo sapiens from OMIM, TTD and Gene Cards were regarded as the substantially contributing proteins.
DOI: 10.6084/m9.figshare.19321115.v1
title: Additional file 4 of Network pharmacology analysis reveals neuroprotection of Gynostemma pentaphyllum (Thunb.) Makino in Alzheimer’ disease

description: Additional file 4: Table-S4: Result of 337 GO terms enrichment of GpM3.
DOI: 10.6084/m9.figshare.19321118
title: Additional file 5 of Network pharmacology analysis reveals neuroprotection of Gynostemma pentaphyllum (Thunb.) Makino in Alzheimer’ disease

description: Additional file 5: Table-S5. Result of the KEGG pathway enrichment analysis of GpM.