cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25395640
title: Informed sampling and recommendation of cycling routes: leveraging crowd-sourced trajectories with weighted-latent dirichlet allocation

description: The data and code for the informed sampling and recommendation of cycling routes
DOI: 10.5281/zenodo.10810844
title: cerebratulus_marginatus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10810845
title: cerebratulus_marginatus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10810826
title: Food Flows of a Surplus Food Cafe Dataset

description: Appendix Data to A Pre and Post Analysis of Food and Carbon Flows of a Surplus Food Café initiative.
DOI: 10.5281/zenodo.10810827
title: Food Flows of a Surplus Food Cafe Dataset

description: Appendix Data to A Pre and Post Analysis of Food and Carbon Flows of a Surplus Food Café initiative.
DOI: 10.25345/c5571801n
title: MassIVE MSV000094296 - Comprehensive Untargeted Lipidomic Profiling of Third Generation Lentiviral Vectors and Packaging Cells: Raw LCMS Data
title: Untargeted high-resolution lipidomics data of HEK 293T packaging cells and lentiviral vectors (LV) in cell culture media. HEK 293T cells are treated with either vehicle control (DMSO), myriocin (positive control), expressing the VSV G protein or producing 3rd generation LV. LV are concentrated from HEK 293T cell culture media using ultracentrifugation. HEK 293T culture media from untransfected cells is also concentrated by ultracentrifugation and acquired as a lipidomics blank which is used to subtract the abundance of background lipids from the LV samples. Also included, is a diltution series of fetal bovine serum lipid extract (FBS) which is used to asses the linear dynamic range of the instrument.
DOI: 10.5281/zenodo.10610615
title: Generation of a network slicing dataset: the foundations for AI-based B5G resource management

description: This paper introduces a comprehensive network slicing dataset designed to empower artificial intelligence (AI), and other data-based resource management and network performance prediction applications, in 5G and beyond (B5G) networks. The dataset, generated through a packet-level simulator, captures the complexities of network slicing considering the three main network slice types defined by 3GPP: Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC), and Massive Internet of Things (mIoT). It includes a wide range of network scenarios with varying topologies, slice instances, and traffic flows. The included scenarios consist of transport networks, excluding the RAN infrastructure.

Each sample consists of pairs of (network scenario, performance metrics). The network configuration includes network topology, traffic characteristics, routing configurations, while the performance metrics are the delay, jitter, and loss for each flow. The dataset is generated with a custom network slicing admission control module, enabling the simulation of realistic scenarios without violating SLAs.

This network slicing dataset is a valuable asset for the research community, unlocking opportunities for innovations in 5G and B5G networks.
DOI: 10.5281/zenodo.10610616
title: Generation of a network slicing dataset: the foundations for AI-based B5G resource management

description: This paper introduces a comprehensive network slicing dataset designed to empower artificial intelligence (AI), and other data-based resource management and network performance prediction applications, in 5G and beyond (B5G) networks. The dataset, generated through a packet-level simulator, captures the complexities of network slicing considering the three main network slice types defined by 3GPP: Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC), and Massive Internet of Things (mIoT). It includes a wide range of network scenarios with varying topologies, slice instances, and traffic flows. The included scenarios consist of transport networks, excluding the RAN infrastructure.

Each sample consists of pairs of (network scenario, performance metrics). The network configuration includes network topology, traffic characteristics, routing configurations, while the performance metrics are the delay, jitter, and loss for each flow. The dataset is generated with a custom network slicing admission control module, enabling the simulation of realistic scenarios without violating SLAs.

This network slicing dataset is a valuable asset for the research community, unlocking opportunities for innovations in 5G and B5G networks.
DOI: 10.6073/pasta/662bb139fd4ef37d16bf7d82e5237d43
title: Northeastern TIME Lakes Dragonfly Mercury and supporting lake geochemistry

description: We sampled lake water and dragonfly larvae in 74 northeastern US lakes (TIME, or Temporally Integrated Monitoring of Ecosystems, lakes) that are part of the US EPA Long-Term Monitoring Network. The lakes are a statistical population of acid-sensitive lakes, a subset of US EPA EMAP lakes originally sampled in the early 1990s (Stoddard et al. 1996). The TIME lakes are 45 lakes in New York, 43 of which are in the Adirondacks, plus 29 lakes in New England. All lakes were sampled in a late-summer index period during 2012; lake water samples were collected manually from the epilimnion via boat, and dragonfly larvae were collected near shore using dip nets. Major ions, acid-base chemistry, total mercury and methylmercury in lake water, and total mercury and methylmercury in dragonfly larvae were analyzed. GIS analysis of lake watersheds and integration of selected EMAP-derived characteristics provides landscape and some morphometry variables for each lake. Additional annual geochemistry data for the lakes beginning in 1992 (with EMAP sampling) and ending in 2016 are available through US EPA.
DOI: 10.57830/2302810
title: Heartland Network 2005-2023 Water Quality Data from the HTLN_WQ Project as of 2023-12-07

description: This data package was created 2024-03-12 14:34:41 by NPSTORET and includes selected project, location, and result data.

Data contained in the Heartland Network NPSTORET back-end file (HTLN_NPSTORET_BE_20231206_1438_20231207_1143.ACCDB) were filtered to include:
Station:
- Include Trip QC And All Station Visit Results
Value Status:
- Accepted or Certified (exported as Final) or Final

The data package is organized into four data tables:
- Projects.csv - describes the purpose and background of the monitoring efforts
- Locations.csv - documents the attributes of the monitoring locations/stations
- Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping
- HUC12.csv - enumerates the domain of allowed values for 12-digit hydrologic unit codes utilized by the Locations datatable

Period of record for filtered data is 2005-10-27 to 2023-11-03.  This data package is a snapshot in time of one National Park Service project. The most current data for this project, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at:
https://www.waterqualitydata.us/data/Result/search?project=HTLN_WQ
DOI: 10.25345/c51g0j56d
title: MassIVE MSV000094297 - Brain-wide alterations revealed by spatial transcriptomics and proteomics in COVID-19 infection
title: Understanding the pathological basis of the neurological symptoms observed following SARS-CoV2 infection is essential to optimizing outcomes and developing therapeutics. We performed proteomics profiling across eight cortical and subcortical brain regions, frontal lobe, temporal lobe, occipital lobe, hippocampus, thalamus, basal ganglia, midbrain, and pons, using postmortem brain samples from severe acute COVID-19 patients and matched controls (n=16), all preserved as formalin-fixed paraffin-embedded (FFPE) tissue. Integrating proteomics and additional transcriptomic analyses, we identified board dysregulation of mitochondrial and synaptic pathways in deep-layer excitatory neurons and changes exhibited similarities with those seen in various age-related neurodegenerative diseases, such as Parkinson's disease (PD) and Alzheimer's disease (AD).
DOI: 10.34740/kaggle/dsv/7828252
title: TubeTech CL 1B
DOI: 10.5281/zenodo.10810882
title: View of an Evolving Pandemic: Changes in the Relationship between Clinical Cases and Levels of SARS-CoV-2 RNA in Colorado Wastewater

description: This repository contains datasets utilized in the research paper titled "View of an Evolving Pandemic: Changes in the Relationship between Clinical Cases and Levels of SARS-CoV-2 RNA in Colorado Wastewater," published in ACS ES&T Water. The datasets include SARS-CoV-2 wastewater monitoring data alongside COVID caseload data for 23 locations in Colorado over a 22-month period.
DOI: 10.5281/zenodo.10810883
title: View of an Evolving Pandemic: Changes in the Relationship between Clinical Cases and Levels of SARS-CoV-2 RNA in Colorado Wastewater

description: This repository contains datasets utilized in the research paper titled "View of an Evolving Pandemic: Changes in the Relationship between Clinical Cases and Levels of SARS-CoV-2 RNA in Colorado Wastewater," published in ACS ES&T Water. The datasets include SARS-CoV-2 wastewater monitoring data alongside COVID caseload data for 23 locations in Colorado over a 22-month period.
DOI: 10.3886/vfpp-mz63
title: Benin Compact - Access to Justice: Final Analysis Report
DOI: 10.3886/c3gv-6r32
title: Benin Compact - Access to Justice: Final Analysis Report
DOI: 10.34740/kaggle/dsv/7828328
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.6084/m9.figshare.3761562.v2881
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v2880
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5519/qd.js9cyva4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.21942/uva.25394869.v1
title: PHRO Organizational Change Study

description: This study explores the effects of organizational change within the public sector, particularly in high-reliability environments, using a case study from a Dutch air force squadron. It applies conservation of resources theory to suggest that change induces stress and negative feelings, hindering adjustment and effectiveness post-change. Data collected over three surveys showed that negative reactions to change lead to increased work role overload and errors. However, a strong sense of normative commitment to the change—feeling obligated to support it—helped lessen these negative impacts. The research aims to deepen understanding of change processes in high-reliability public organizations and offer insights for both theory and practical implementation.
DOI: 10.34740/kaggle/dsv/7828489
title: All FDA Drugs (United States, 1939-Present)
DOI: 10.34740/kaggle/dsv/7828511
title: All FDA Drugs (United States, 1939-Present)
DOI: 10.25959/408n-f077
title: A Geological Imprint on Plant Biodiversity: Eastern Australia's Cenozoic Volcanic Flora - Field Data

description: - Field data collected from South-east Queensland and Tasmania as part of the study investigating biodiversity and species richness in eastern Australia.
DOI: 10.5281/zenodo.10810993
title: An example dataset for FastDose

description: This dataset is an example dataset for the github repository, which contains a lung patient CT, associated anatomy deliniations, and several parameter files.
DOI: 10.5281/zenodo.10810992
title: An example dataset for FastDose

description: This dataset is an example dataset for the github repository, which contains a lung patient CT, associated anatomy deliniations, and several parameter files.
DOI: 10.5281/zenodo.10368971
title: dataset for machine learning example in WarpX / ImpactX

description: This contains data for a machine learning workflow using codes from the BLAST suite supported at Lawrence Berkeley National Laboratory.  There are 2 directories: 

lab_particle_diags: contains particle diagnostics in openPMD format for use in training neural networksmodels: parameters of pre-trained neural networks for use in inference
DOI: 10.5281/zenodo.10368972
title: dataset for machine learning example in WarpX / ImpactX

description: This contains data for a machine learning workflow using codes from the BLAST suite supported at Lawrence Berkeley National Laboratory.  There are 3 directories: 
lab_particle_diags: contains particle diagnostics in openPMD format for use in training neural networksdatasets: contains data normalizations for use in inferencemodels: parameters for pre-trained neural networks
DOI: 10.5281/zenodo.10810754
title: dataset for machine learning example in WarpX / ImpactX

description: This contains data for a machine learning workflow using codes from the BLAST suite supported at Lawrence Berkeley National Laboratory.  There are 2 directories: 

lab_particle_diags: contains particle diagnostics in openPMD format for use in training neural networksmodels: parameters of pre-trained neural networks for use in inference
DOI: 10.25345/c5wp9tj2z
title: MassIVE MSV000094298 - A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology
title: A major goal of cancer biology is to understand the mechanisms underlying tumorigenesis driven by somatically acquired mutations. Two distinct types of computational methodologies have emerged: one focuses on analyzing clustering of mutations within protein sequences and 3D structures, while the other characterizes mutations by leveraging the topology of protein-protein interaction network. Their insights are largely non-overlapping, offering complementary strengths. Here, we established a unified, end-to-end 3D structurally-informed protein interaction network propagation framework, NetFlow3D, that systematically maps the multiscale mechanistic effects of somatic mutations in cancer. The establishment of NetFlow3D hinges upon the Human Protein Structurome, a comprehensive repository we compiled that incorporates the 3D structures of every single protein as well as the binding interfaces of all known protein interactions in humans. NetFlow3D leverages the Structurome to integrate information across atomic, residue, protein and network levels: It conducts 3D clustering of mutations across atomic and residue levels on protein structures to identify potential driver mutations. It then anisotropically propagates their impacts across the protein interaction network, with propagation guided by the specific 3D structural interfaces involved, to identify significantly interconnected network "modules", thereby uncovering key biological processes underlying disease etiology. Applied to 1,038,899 somatic protein-altering mutations in 9,946 TCGA tumors across 33 cancer types, NetFlow3D identified 12,378 significant 3D clusters throughout the Human Protein Structurome, of which ~54% would not have been found if using only experimentally-determined structures. It then identified 28 significantly interconnected modules that encompass ~8-fold more proteins than applying standard network analyses.
DOI: 10.5517/ccdc.csd.cc2dpyvx
title: CCDC 2225640: Experimental Crystal Structure Determination

description: Related Article: Ming-Ya Teng, Yong-Jie Wu, Jia-Hao Chen, Fan-Rui Huang, De-Yang Liu, Qi-Jun Yao, Bing-Feng Shi|2024|Angew.Chem.,Int.Ed.|63|e202318803|doi:10.1002/anie.202318803
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.cc2dpywy
title: CCDC 2225641: Experimental Crystal Structure Determination

description: Related Article: Ming-Ya Teng, Yong-Jie Wu, Jia-Hao Chen, Fan-Rui Huang, De-Yang Liu, Qi-Jun Yao, Bing-Feng Shi|2024|Angew.Chem.,Int.Ed.|63|e202318803|doi:10.1002/anie.202318803
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.cc2fw5gz
title: CCDC 2260441: Experimental Crystal Structure Determination

description: Related Article: Amina Benchohra, Julien Chong, Carlos M. Cruz, Céline Besnard, Laure Guénée, Arnulf Rosspeintner, Claude Piguet|2024|Inorg.Chem.|63|3617|doi:10.1021/acs.inorgchem.3c03422
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: 10.26186/149287
title: L214 Northwest Northern Territory Seismic Survey (NW NT Seismic Survey)

description: The Northwest Northern Territory Seismic Survey (NW NT Seismic Survey) was acquired as part of the Australian Government's Exploring for the Future (EFTF) program, conducted from 5 August to 20 September 2023. This ambitious project is a collaboration between Geoscience Australia and the Northern Territory Geological Survey, aimed to systematically map the subsurface geology of a significant yet largely unexplored region of Australia. Covering an extensive area that includes the Birrindudu Basin, Kalkarindji Suite, Tanami, and Wolfe Basin, the survey successfully acquired about 846 kilometers of high-resolution seismic data across four seismic transects, specifically designated as 23GA-NT1 (54.5 km and 184.5 km in two separate sections), 23GA-NT2 (112 km), 23GA-NT3 (221.46 km), and 23GA-NT4 (274.2 km).<br>This seismic campaign is part of a strategic effort to illuminate the geological framework and evaluate the resource potential within these regions, which are considered highly prospective for minerals, geoenergy, geological storage and groundwater resources. By deploying advanced seismic acquisition technologies to capture detailed images of the Earth's crust, this survey provides foundational data for identifying the region's geological features and resource potential, such as basin geometry and fault systems. The data derived from this survey are expected to play a pivotal role in guiding future exploration activities, attracting investment to the region, and ultimately contributing to the sustainable development of Australia's natural resources.<br>The project underscores the commitment of the Australian Government and its partners to enhance the geoscientific understanding of the continent's frontier regions. The findings from the NW NT Seismic Survey will advance our knowledge of Australia's geology and unlock new opportunities for exploration and economic development in the northwest Northern Territory. Through the dissemination of precompetitive geoscience data, the EFTF program continues to foster innovation and collaboration across the exploration sector, ensuring that Australia remains at the forefront of global efforts to secure a sustainable and prosperous future.<br><strong>Raw data for this survey are available on request from clientservices@ga.gov.au - Quote eCat#149287</strong>
DOI: 10.48410/hn4s-cx84
title: Supplementary data files for the thesis Elemental composition of surface sediment as a sea/land-level indicator in Cascadia salt marshes

description: Dataset consisting of three files for the thesis Elemental composition of surface sediment as a sea/land-level indicator in Cascadia salt marshes. The three files include: raw elemental geochemistry data of modern salt marsh sediment transects from Cascadia (Port Alberni, British Columbia and Willapa Bay, Washington); summarized elemental geochemistry data modern salt marsh sediment transects from Cascadia (Port Alberni, British Columbia and Willapa Bay, Washington) with appended environmental data; and the R Code used for data processing, data manipulation, descriptive statistics, multivariate statistical analysis, and generating figures.
DOI: 10.22002/vdn6w-65c35
title: Sharan PRAKASH Thesis Files
title: Figures and Supplementary Information

description: These files contain all figures and supplementary material from Sharan J. Prakash's thesis, entitled 'Experimental and Neuroinformatic Definition of Neural Circuits in Caenorhabditis elegans'.
DOI: 10.25919/vrpe-g510
title: Grey-headed flying-fox population data

description: Data set of 10 years National Flying-fox Monitoring Program (NFFMP) data. Grey-headed flying-fox data
DOI: 10.6084/m9.figshare.24835863.v1
title: Repository for : <i>Establishment of reed </i><i>canarygrass</i><i> (</i><i>Phalaris </i><i>arundinacea</i><i>) in the context of floodplain restoration: Impact of companion plant and s</i><i>ow</i><i>ing rate</i><i> </i>

description: <b>About this project</b>The state of the yellow perch (<i>Perca flavescens</i>) population of the lake Saint Pierre (the largest floodplain in Québec, Canada) is concerning and has been the subject of three moratoria (2012, 2017, 2022). Agriculture intensification in the floodplain in the last century resulted in the loss of important spawning and rearing areas for the yellow perch. Reestablishing perennial vegetation during the spring floods appears essential to ensure the persistence of the population, but the prolonged flooding and fluctuating conditions found in the floodplain make the objective difficult to achieve.In response to this challenge, we evaluate the impact of companion plants (<i>Avena Sativa</i> and <i>Lolium pratense</i>) and sowing rates on the establishment success of <i>Phalaris arundinacea </i>in the floodplain of lake Saint-pierre<i>.</i><b>Description</b>This is the online repository to reproduce the results presented in: Mathieu Vaillancourt, Catherine Čapkun-Huot, Samuel Jean Jacques, Bérenger Bourgeois and Monique Poulin. 2024. Establishment of reed canarygrass (<i>Phalaris</i><i> </i><i>arundinacea</i>) in the context of floodplain restoration: Impact of companion plant and sowing rate.This repository contains all the data and code for the paper.<b>Data</b>The data required for this project are separated in two distinct data sets based on the study site:BF.csvSB.csvBF stands for Baie-du-Febvre, and SB stands for Saint-Barthélémy. Data include :Experimental treatments (species sowed and sowing rate)Weed cover and biomass (separated by species and pooled together)<i>P. arundinacea</i> cover, biomass and mean maximum heightThe complete description of these data sets can be found in Metadata_BF.txt and Metadata_SB.txt<b>Code</b>The analyses and figures are separated in two .R files:Models.RFigures.R<br>