cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25020221.v1
title: Supplementary Material for: The Trajectory of Successful Aging: Insights from Metagenome and Cytokine Profiling

description: Introduction: The longevity is influenced by of genetic, environmental, and lifestyle factors. The specific changes that occur in the gut microbiome during the aging process, and their relationship to longevity and immune function, have not yet been fully understood. The ongoing research other microbiome based to longevity cohort in Kazakhstan, provides preliminary information on longevity-related aging, where cytokine expression is associated with specific microbial communities and microbial functions. Methods: Metagenomic shotgun sequencing study of 40 long-lived individuals aged 90 years and over were carried out, who were conditionally healthy and active, able to served themselves, without a history of serious infection and cancer, who had not taken any antimicrobials, including probiotics. Blood serum weas analyzed to clinical and laboratory characteristics. The cytokine and chemokine profile in serum and stool samples was assessed using Multiplex analysis. Results: We found a significant increase in the expression of pro-inflammatory cytokines IL-1a, IL-6, 12p70, IP-10, IFN-α2, IL-15 TNFa, as well as chemokines MIP-1a/CCL3 and MIP-1b/CCL4, chemokine motif ligands MCP-3/CCL7 and MDC/CCL22(1c). Nonagenerians and centenarians demonstrated a greater diversity of core microbiota genera and showed an elevated prevalence of the genera Bacteroides, Clostridium, Escherichia and Alistipes. Conversely, there was a decrease in the abundance of the genera Ruminococcaceae, Fusicatenibacter, Dorea, as well as the species Fusicatenibacter saccharivorans. Furthermore, functional analysis revealed that the microbiome in long-lived group has a high capacity for lipid metabolism, amino acid degradation, and potential signs of chronic inflammatory status. Conclusion: Long-lived individuals exhibit an immune system imbalance and observed changes in the composition of the gut microbiota at the genus level between to the two age groups. Age-related changes in the gut microbiome, metabolic functions of the microbial community, and chronic inflammation all contribute to immunosenescence. In turn, the inflammatory state and microbial composition of the gut is related to nutritional status.
DOI: 10.5525/gla.researchdata.1574
title: Exploratory study investigating the social support networks of adults with intellectual disabilities in the context of physical activity, while considering the influence of gender

description: Data collected relating to social support for physical activity for adults with intellectual disabilities. Data includes interview transcripts, demographic information, reports of social support network and the types of leisure activities promoted.
DOI: 10.5525/gla.researchdata.1573
title: Understanding capabilities, opportunities, and motivations of walking for physical activity among adults with intellectual disabilities: Applying the COM-B model

description: Qualitative study exploring capabilities, opportunities and motivation of walking among adults with intellectual disabilities. Study involved 12 interviews and a focus group with 5 adults with intellectual disabilities. Data set includes the transcripts and demographic information. For the focus groups photographs were taking during a walk. The photographs are also included. For zoom interviews (n = 2) a copy of the recorded consent has been included. Consent from with in-person interviews were signed on paper and are being stored securely elsewhere.
DOI: 10.5281/zenodo.10455827
title: VR streaming over Wi-Fi using WebRTC

description: This dataset comprises tshark-processed traffic traces in CSV format and WebRTC statistics in both TXT and JSON formats, collected using Unity Render Streaming from both the client and server ends. Unity Render Streaming enables the remote rendering and streaming of VR gaming content over Wi-Fi. The collection includes data records for several Unity games: Alteration Hunting (AH) at frame rates of 30, 60, and 90 fps; the XR Interaction Toolkit demo scene (ITK) at 90 fps; and The Escape Room (ER) at 90 fps.

Additionally, the dataset encompasses tshark-processed traffic traces in CSV format collected from other WebRTC-based streaming services, such as GeForce NOW and Google Meet.
DOI: 10.5281/zenodo.10455828
title: VR streaming over Wi-Fi using WebRTC

description: This dataset comprises tshark-processed traffic traces in CSV format and WebRTC statistics in both TXT and JSON formats, collected using Unity Render Streaming from both the client and server ends. Unity Render Streaming enables the remote rendering and streaming of VR gaming content over Wi-Fi. The collection includes data records for several Unity games: Alteration Hunting (AH) at frame rates of 30, 60, and 90 fps; the XR Interaction Toolkit demo scene (ITK) at 90 fps; and The Escape Room (ER) at 90 fps.

Additionally, the dataset encompasses tshark-processed traffic traces in CSV format collected from other WebRTC-based streaming services, such as GeForce NOW and Google Meet.
DOI: 10.5281/zenodo.7001931
title: DALiuGE Lowpass Graph Trial Executions

description: This dataset contains the hash-graph data for trial executions of the DALiuGE Lowpass Graphs which make use of DALiuGE Lowpass Components.
DOI: 10.5281/zenodo.7001932
title: DALiuGE Lowpass Graph Trial Executions

description: This dataset contains the hash-graph data for trial executions of the DALiuGE Lowpass Graphs which make use of DALiuGE Lowpass Components.
DOI: 10.34740/kaggle/dsv/7427808
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/7427830
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25625/hwvcxk/mjnret
title: Tab2_AHe_Hebereretal.xlsx

description: :unav
DOI: 10.25625/hwvcxk/zkkzhv
title: HeFTy_Modeling_files.zip

description: :unav
DOI: 10.25625/hwvcxk/ymtdux
title: 01_Info_for_Supplementary_Data.docx

description: :unav
DOI: 10.25625/hwvcxk/h2cd7d
title: Suppl_S2_Hebereretal.pdf

description: :unav
DOI: 10.25625/hwvcxk/trgkpv
title: Tab1_AFTA_Hebereretal.xls

description: :unav
DOI: 10.25625/hwvcxk
title: Bianca Heberer, Bernhard Salcher, Gabor Tari, Godfrid Wessely, István Dunkl, Reinhard F. Sachsenhofer, Michael Wagreich, Christoph von Hagke (2024) The impact of the Bohemian Spur on the cooling and exhumation pattern of the Eastern Alpine wedge of the European Alps [dataset] submitted to Tectonics

description: Supplemental material for manuscript Heberer et al.: The impact of the Bohemian Spur on the cooling and exhumation pattern of the Eastern Alpine wedge of the European Alps
DOI: 10.25625/hwvcxk/gdl2sf
title: Suppl_S1_Hebereretal.pdf

description: :unav
DOI: 10.5281/zenodo.10528022
title: Datos Proyecto CEAM
DOI: 10.5281/zenodo.10528023
title: Datos Proyecto CEAM
DOI: 10.6084/m9.figshare.25020161
title: Source Data file

description: Data sheet for published paper.
DOI: 10.6084/m9.figshare.25002047
title: The Impact of Air Pollutants on Respiratory Diseases A Comprehensive Study Based on Mendelian Randomization and Bioinformatics Analysis

description: The Impact of Air Pollutants on Respiratory Diseases A Comprehensive Study Based on Mendelian Randomization and Bioinformatics Analysis
DOI: 10.6084/m9.figshare.25002047.v1
title: The Impact of Air Pollutants on Respiratory Diseases A Comprehensive Study Based on Mendelian Randomization and Bioinformatics Analysis

description: The Impact of Air Pollutants on Respiratory Diseases A Comprehensive Study Based on Mendelian Randomization and Bioinformatics Analysis
DOI: 10.60893/figshare.jap.24891150
title: Supplemental

description: Data and Simulations examples
DOI: 10.60893/figshare.jap.24891150.v1
title: Supplemental

description: Data and Simulations examples
DOI: 10.5281/zenodo.10527938
title: Vladimir UFSIN News Crawl Pt.3

description: WARC files produced by a webcrawl of Vladimir UFSIN news online resource. WARC reader is necessary to view files.
DOI: 10.5281/zenodo.10527939
title: Vladimir UFSIN News Crawl Pt.3

description: WARC files produced by a webcrawl of Vladimir UFSIN news online resource. WARC reader is necessary to view files.
DOI: 10.11588/data/uumedi
title: Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation

description: This dataset contains 11 terrestrial laser scanning (TLS) tree point clouds (in .LAZ format v1.4) of 7 different species, which have been manually labeled into leaf and wood points. The labels are contained in the Classification field (0 = wood, 1 = leaf). The point clouds have additional attributes (Deviation, Reflectance, Amplitude, GpsTime, PointSourceId, NumberOfReturns, ReturnNumber). Before labeling, all point clouds were filtered by Deviation, discarding all points with a Deviation greater than 50. An ASCII file with tree species and tree positions (in ETRS89 / UTM zone 32N; EPSG:25832) is provided, which can be used to normalize and center the point clouds. This dataset is intended to be used for training and validation of algorithms for semantic segmentation (leaf-wood separation) of TLS tree point clouds, as done by Esmorís et al. 2023 (Related Publication). The point clouds are a subset of a larger dataset, which is available on PANGAEA (Weiser et al. 2022b, see Related Dataset). More details on data acquisition and processing, file formats, and quality assessments can be found in the corresponding data description paper (Weiser et al. 2022a, see Related Material).
DOI: 10.6084/m9.figshare.24298378.v1
title: Supplementary Table 1

description: Comparative differences between the <i>L. monocytogenes</i> strain AUF and other Lm reference strains of zoonotic origin. Comparison the number and allele profiles of genes/loci functionally annotated and associated with different Lm activity.
DOI: 10.6084/m9.figshare.24941694.v1
title: XFJ_earthquakes_relocations.dat

description: This is the supplymentory file of the article <i>Source parameters and Stress triggering of 2023 M≥4 earthquakes sequence in Heyuan, Guangdong, </i>which contains the result of earthquake relocations in the study. The first column is event time, the second, third and forth column is longitude, latitude and depth of earthquakes, the fifth column is the uncertainty of the relocation.
DOI: 10.6084/m9.figshare.24299374.v1
title: Supplementary Table 2

description: Comparison of the AUF genome with the <i>L. monocytogenes</i> reference genomes. Comparative analysis of the whole genomes of the <i>L. monocytogenes</i> AUF versus nine Lm reference strains on the BV-BRC platform (https://www.bv–brc.org/).
DOI: 10.6084/m9.figshare.24299377.v1
title: Supplementary Table 3

description: Comparative characteristics of 17 pseudogenes found in the <i>L. monocytogenes</i> AUF genome by BLAST analysis (https://blast.ncbi.nlm.nih.gov/Blast.cgi)
DOI: 10.5281/zenodo.5819028
title: Occurrence cubes for non-native taxa in Belgium and Europe

description: <strong>Description</strong> This package contains aggregated occurrence data ("occurrence cubes") for non-native taxa in Belgium and Europe. These occurrence cubes were generated by grouping species occurrence data from the Global Biodiversity Information Facility (GBIF) by year (<code>year</code>), 1x1km spatial EEA reference grid cell (<code>eea_cell_code</code>) and taxon (<code>taxonKey</code> or <code>classKey</code>). For each grouping, the number of occurrences found in GBIF (<code>n</code>) and the minimum coordinateUncertaintyInMeters (<code>min_coord_uncertainty</code>) are provided. The provided coordinateUncertaintyInMeters of an occurrence is taken into account when assigning it to a grid cell (see this code). The occurrence cubes have been used as input data for indicators and risk modelling/mapping for the Tracking Invasive Alien Species (TrIAS) project and are now used for monitoring the effectiveness of the early detection and rapid eradication of emerging Invasive Alien Species (IAS) for the LIFE RIPARIAS project. The occurrence cubes are built on open science principles and intended to be completely reproducible: The input data are publicly available on GBIF, with the download DOIs listed in the related identifiers of this package. The code to process the data to cubes is publicly available on GitHub at https://github.com/trias-project/occ-cube-alien (version 20220309). <strong>Files</strong> <strong>be_alientaxa_cube.csv</strong>: occurrence cube of alien taxa listed by the Global Register of Introduced and Invasive Species - Belgium (Desmet et al. 2019) and limited to occurrences in Belgium (<code>country=BE</code>). <strong>be_alientaxa_info.csv</strong>: taxonomic information for taxa in <code>be_alientaxa_cube.csv</code>. <strong>be_classes_cube.csv</strong>: occurrence cube of all classes found in Belgium (<code>country=BE</code>), used to assess sampling effort bias in <code>be_alientaxa_cube.csv</code>. <strong>eu_modellingtaxa_cube.csv</strong>: occurrence cube of selected modelling species in Europe (bounding box). <strong>eu_modellingtaxa_info.csv</strong>: taxonomic information for taxa in <code>eu_modellingtaxa_cube.csv</code>.
description: This work has been funded under the under the Belgian Science Policies Brain program (BelSPO BR/165/A1/TrIAS) and the LIFE program of the European Union (LIFE19 NAT/BE/000953 - LIFE RIPARIAS).
description: {"references": ["Desmet P, Reyserhove L, Oldoni D, Groom Q, Adriaens T, Vanderhoeven S, Pagad S (2019). Global Register of Introduced and Invasive Species - Belgium. Invasive Species Specialist Group ISSG. Checklist dataset https://doi.org/10.15468/xoidmd"]}
DOI: 10.5281/zenodo.10058400
title: Occurrence cubes for non-native taxa in Belgium and Europe

description: This package contains aggregated occurrence data ("occurrence cubes") for non-native taxa in Belgium and Europe. These occurrence cubes were generated by grouping species occurrence data from the Global Biodiversity Information Facility (GBIF) by year (year), 1x1km spatial EEA reference grid cell (eea_cell_code) and taxon (taxonKey or classKey). For each grouping, the number of occurrences found in GBIF (n) and the minimum coordinateUncertaintyInMeters (min_coord_uncertainty) are provided. The provided coordinateUncertaintyInMeters of an occurrence is taken into account when assigning it to a grid cell (see this code). The occurrence cubes have been used as input data for indicators and risk modelling/mapping for the Tracking Invasive Alien Species (TrIAS) project and are now used for monitoring the effectiveness of the early detection and rapid eradication of emerging Invasive Alien Species (IAS) for the LIFE RIPARIAS project.
The occurrence cubes are built on open science principles and intended to be completely reproducible:

The input data are publicly available on GBIF, with the download DOIs listed in the related identifiers of this package.
The code to process the data to cubes is publicly available on GitHub at https://github.com/trias-project/occ-cube-alien (version 20231106).
Files

be_alientaxa_cube.csv: occurrence cube of alien taxa listed by the Global Register of Introduced and Invasive Species - Belgium (Desmet et al. 2019) (GRIIS) and limited to occurrences in Belgium (country=BE).
be_alientaxa_info.csv: taxonomic information for taxa in be_alientaxa_cube.csv.
be_classes_cube.csv: occurrence cube of all classes found in Belgium (country=BE), used to assess sampling effort bias in be_alientaxa_cube.csv.
eu_modellingtaxa_cube.csv: occurrence cube of selected modelling species in Europe (bounding box).
eu_modellingtaxa_info.csv: taxonomic information for taxa in eu_modellingtaxa_cube.csv.
Acknowledgements
This work has been funded under the Belgian Science Policies Brain program (BelSPO BR/165/A1/TrIAS), the European Union's LIFE program (LIFE19 NAT/BE/000953 - LIFE RIPARIAS) and the European Union's Horizon Europe Research and Innovation Programme (ID No 101059592 - Biodiversity Building Blocks for Policy).
description: This version updates the occurrence cubes with more recent occurrence data, see datasets mentioned in Related works. The occurrence cube for alien taxa of Belgium is also based on a new version of the GRIIS checklist (Desmet et al. 2019) published on September 20, 2023.
description: This version contains incorrect data and should not be used.
DOI: 10.5281/zenodo.10527772
title: Occurrence cubes for non-native taxa in Belgium and Europe

description: This package contains aggregated occurrence data ("occurrence cubes") for non-native taxa in Belgium and Europe. These occurrence cubes were generated by grouping species occurrence data from the Global Biodiversity Information Facility (GBIF) by year (year), 1x1km spatial EEA reference grid cell (eea_cell_code) and taxon (taxonKey or classKey). For each grouping, the number of occurrences found in GBIF (n) and the minimum coordinateUncertaintyInMeters (min_coord_uncertainty) are provided. The provided coordinateUncertaintyInMeters of an occurrence is taken into account when assigning it to a grid cell (see this code). The occurrence cubes have been used as input data for indicators and risk modelling/mapping for the Tracking Invasive Alien Species (TrIAS) project and are now used for monitoring the effectiveness of the early detection and rapid eradication of emerging Invasive Alien Species (IAS) for the LIFE RIPARIAS project.

The occurrence cubes are built on open science principles and intended to be completely reproducible:



The input data are publicly available on GBIF, with the download DOIs listed in the related identifiers of this package.

The code to process the data to cubes is publicly available on GitHub at https://github.com/trias-project/occ-cube-alien (version 20240118).


Files



be_alientaxa_cube.csv: occurrence cube of alien taxa listed by the Global Register of Introduced and Invasive Species - Belgium (Desmet et al. 2019) (GRIIS) and limited to occurrences in Belgium (country=BE).

be_alientaxa_info.csv: taxonomic information for taxa in be_alientaxa_cube.csv.

be_classes_cube.csv: occurrence cube of all classes found in Belgium (country=BE), used to assess sampling effort bias in be_alientaxa_cube.csv.

eu_modellingtaxa_cube.csv: occurrence cube of selected modelling species in Europe (bounding box).

eu_modellingtaxa_info.csv: taxonomic information for taxa in eu_modellingtaxa_cube.csv.


Acknowledgements

This work has been funded under the Belgian Science Policies Brain program (BelSPO BR/165/A1/TrIAS), the European Union's LIFE program (LIFE19 NAT/BE/000953 - LIFE RIPARIAS) and the European Union's Horizon Europe Research and Innovation Programme (ID No 101059592 - Biodiversity Building Blocks for Policy).
description: This version updates the occurrence cubes with more recent occurrence data, see datasets mentioned in Related works. The occurrence cube for alien taxa of Belgium is also based on a new version of the GRIIS checklist (Desmet et al. 2019) published on September 20, 2023.
DOI: 10.5281/zenodo.4299976
title: Occurrence cubes for non-native taxa in Belgium and Europe

description: <strong>Description</strong> This package contains aggregated occurrence data ("occurrence cubes") for non-native taxa in Belgium and Europe. These occurrence cubes were generated by grouping species occurrence data from the Global Biodiversity Information Facility (GBIF) by year (<code>year</code>), 1x1km spatial EEA reference grid cell (<code>eea_cell_code</code>) and taxon (<code>taxonKey</code> or <code>classKey</code>). For each grouping, the number of occurrences found in GBIF (<code>n</code>) and the minimum coordinateUncertaintyInMeters (<code>min_coord_uncertainty</code>) are provided. The provided coordinateUncertaintyInMeters of an occurrence is taken into account when assigning it to a grid cell (see this code). The occurrence cubes are used as input data for indicators and risk modelling/mapping for the Tracking Invasive Alien Species (TrIAS) project. The occurrence cubes are built on open science principles and intended to be completely reproducible: The input data are publicly available on GBIF, with the download DOIs listed in the related identifiers of this package. The code to process the data to cubes is publicly available on GitHub at https://github.com/trias-project/occ-cube-alien (version 20201201). <strong>Files</strong> <strong>be_alientaxa_cube.csv</strong>: occurrence cube of alien taxa listed by the Global Register of Introduced and Invasive Species - Belgium (Desmet et al. 2019) and limited to occurrences in Belgium (<code>country=BE</code>). <strong>be_alientaxa_info.csv</strong>: taxonomic information for taxa in <code>be_alientaxa_cube.csv</code>. <strong>be_classes_cube.csv</strong>: occurrence cube of all classes found in Belgium (<code>country=BE</code>), used to assess sampling effort bias in <code>be_alientaxa_cube.csv</code>. <strong>eu_modellingtaxa_cube.csv</strong>: occurrence cube of selected modelling species in Europe (bounding box). <strong>eu_modellingtaxa_info.csv</strong>: taxonomic information for taxa in <code>eu_modellingtaxa_cube.csv</code>.
description: This work has been funded under the Belgian Science Policies Brain program (BelSPO BR/165/A1/TrIAS).
description: {"references": ["Desmet P, Reyserhove L, Oldoni D, Groom Q, Adriaens T, Vanderhoeven S, Pagad S (2019). Global Register of Introduced and Invasive Species - Belgium. Invasive Species Specialist Group ISSG. Checklist dataset https://doi.org/10.15468/xoidmd"]}
DOI: 10.5517/ccdc.csd.cc2gnt65
title: CCDC 2284117: Experimental Crystal Structure Determination

description: Related Article: Luca Morgan, Giulio Pavan, Nicola Demitri, Chiara Alberoni, Thomas Scattolin, Marco Roverso, Sara Bogialli, Alessandro Aliprandi|2023|RSC Advances|13|34520|doi:10.1039/D3RA06863C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gnt76
title: CCDC 2284118: Experimental Crystal Structure Determination

description: Related Article: Luca Morgan, Giulio Pavan, Nicola Demitri, Chiara Alberoni, Thomas Scattolin, Marco Roverso, Sara Bogialli, Alessandro Aliprandi|2023|RSC Advances|13|34520|doi:10.1039/D3RA06863C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gnt87
title: CCDC 2284119: Experimental Crystal Structure Determination

description: Related Article: Luca Morgan, Giulio Pavan, Nicola Demitri, Chiara Alberoni, Thomas Scattolin, Marco Roverso, Sara Bogialli, Alessandro Aliprandi|2023|RSC Advances|13|34520|doi:10.1039/D3RA06863C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cxl41
title: CCDC 2202213: Experimental Crystal Structure Determination

description: Related Article: Xiangxiang Liu, Tianhui Liao, Ni Yang, Shifeng Ban, Yuan Wang, Zhaopeng Zheng, Zhixu Zhou|2024|J.Mol.Struct.|1299|137204|doi:10.1016/j.molstruc.2023.137204
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.