cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30850526
title: Integrated Dataset for Avian Arbovirus Risk Analyses: Metadata, Seroprevalence, Traits and Environmental Context

description: This .xlsx file contains the complete dataset structure used in the analyses of avian exposure to West Nile Virus (WNV) and Saint Louis encephalitis Virus (SLEV) in central and northern Argentina. The workbook is organized into separate sheets, each serving a distinct purpose:<b>Metadata:</b> Definitions of all variables, units, data types, sampling information, and methodological notes<b>Traits:</b><br>This sheet compiles all variables required to reproduce the statistical analyses, integrating seroprevalence data, ecological and life-history traits, and environmental descriptors. It includes species identity, taxonomy, sampling metadata (year, site, province, season), and serological results for SLEV and WNV. Ecological and life-history information includes clutch size, nest characteristics (height and type), body metrics (wing and tarsus length, mass), incubation and fledging periods, egg mass, generation length, number of broods per year, and migration status. The sheet also contains derived composite traits (Pace of Life and PCA2) as well as the coordinates, clustering assignments, and principal coordinate axis representing the environmental scenarios of viral transmission.<br>For reproducibility purposes, this sheet corresponds to the input dataset used in the statistical analysis scripts. To run the analyses without modifying file names in the scripts, users should export this sheet as a <code>.csv</code> file named <code>species-traits.csv</code> and place it in the appropriate working directory.<br><b>Sampling Events:</b><br>This sheet contains the environmental and geographic metadata associated with each field sampling event. It includes the year, site, province, season, geographic coordinates (latitude and longitude), and month of sampling. For each event, a set of climate and environmental descriptors is provided, including monthly precipitation, minimum and maximum monthly temperatures, annual mean temperature, temperature seasonality, annual precipitation, water vapor pressure, wind speed, elevation (MASL), and habitat type.<br>These variables were used to compute the environmental axes and cluster groups included in the <i>traits</i> sheet.
DOI: 10.6084/m9.figshare.30850526.v1
title: Integrated Dataset for Avian Arbovirus Risk Analyses: Metadata, Seroprevalence, Traits and Environmental Context

description: This .xlsx file contains the complete dataset structure used in the analyses of avian exposure to West Nile Virus (WNV) and Saint Louis encephalitis Virus (SLEV) in central and northern Argentina. The workbook is organized into separate sheets, each serving a distinct purpose:<b>Metadata:</b> Definitions of all variables, units, data types, sampling information, and methodological notes<b>Traits:</b><br>This sheet compiles all variables required to reproduce the statistical analyses, integrating seroprevalence data, ecological and life-history traits, and environmental descriptors. It includes species identity, taxonomy, sampling metadata (year, site, province, season), and serological results for SLEV and WNV. Ecological and life-history information includes clutch size, nest characteristics (height and type), body metrics (wing and tarsus length, mass), incubation and fledging periods, egg mass, generation length, number of broods per year, and migration status. The sheet also contains derived composite traits (Pace of Life and PCA2) as well as the coordinates, clustering assignments, and principal coordinate axis representing the environmental scenarios of viral transmission.<br>For reproducibility purposes, this sheet corresponds to the input dataset used in the statistical analysis scripts. To run the analyses without modifying file names in the scripts, users should export this sheet as a <code>.csv</code> file named <code>species-traits.csv</code> and place it in the appropriate working directory.<br><b>Sampling Events:</b><br>This sheet contains the environmental and geographic metadata associated with each field sampling event. It includes the year, site, province, season, geographic coordinates (latitude and longitude), and month of sampling. For each event, a set of climate and environmental descriptors is provided, including monthly precipitation, minimum and maximum monthly temperatures, annual mean temperature, temperature seasonality, annual precipitation, water vapor pressure, wind speed, elevation (MASL), and habitat type.<br>These variables were used to compute the environmental axes and cluster groups included in the <i>traits</i> sheet.
DOI: 10.25345/c5zg6gm7j
title: MassIVE MSV000100221 - Protein-protein interactions of RRF-3 in C. briggsae
title: A mass spectrometry-based label-free proteomics analysis was performed to study the protein binders of RRF-3 in C. briggsae. Anti-MYC pull-downs were performed on 3xMYC-tagged RRF-3 in C. briggsae in a wild-type or gtsf-1 deletion background. Proteins were digested by trypsin. Peptides were measured on an Orbitrap Exploris 480 mass spectrometer. Raw data files were processed in DIA-NN software (version 2.2.0) in library-free mode. An in silico predicted spectral library was generated in DIA-NN from the UniProt reference proteomes of C. briggsae (release 2024_03; 21,756 entries), E. coli K-12 strain (release 2024_03; 4,416 entries), 3xMYC::RRF3 and a list of common contaminants.
DOI: 10.5281/zenodo.17940576
title: mIF data - IMMUCAN R/M SCCHN

description: mIF data corresponding to the R/M SCCHN cohort from the IMMUCAN consortium
DOI: 10.5281/zenodo.17940577
title: mIF data - IMMUCAN R/M SCCHN

description: mIF data corresponding to the R/M SCCHN cohort from the IMMUCAN consortium
DOI: 10.5281/zenodo.17936941
title: Combined physical and biological contributions to radiotherapy enhancement by Lu-based nanoscintillators in pancreatic cancer models.

description: Dataset for the publication:

Combined physical and biological contributions to radiotherapy enhancement by Lu-based nanoscintillators in pancreatic cancer models.

doi: 10.7150/ntno.115120
DOI: 10.5281/zenodo.17936940
title: Combined physical and biological contributions to radiotherapy enhancement by Lu-based nanoscintillators in pancreatic cancer models.

description: Dataset for the publication:

Combined physical and biological contributions to radiotherapy enhancement by Lu-based nanoscintillators in pancreatic cancer models.

doi: 10.7150/ntno.115120
DOI: 10.17632/tmj5b8z9s9
title: Marine Worms. Biology. Ecology. Taxonomy, Systematics and Anatomy (Species Inner Body Architecture)

description: Marine Worms. Biology. Ecology. Taxonomy, Systematics and Anatomy (Species Inner Body Architecture)
DOI: 10.17632/tmj5b8z9s9.1
title: Marine Worms. Biology. Ecology. Taxonomy, Systematics and Anatomy (Species Inner Body Architecture)

description: Marine Worms. Biology. Ecology. Taxonomy, Systematics and Anatomy (Species Inner Body Architecture)
DOI: 10.15468/dl.hsy7d5
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "DatasetKey is BCE butterfly data central and southern Europe"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053705-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/w98tg6wtd2
title: Marine Sponges (Porifera). Biology. Ecology. Taxonomy, Systematics and Anatomy (Species Inner Body Architecture)

description: Marine Sponges (Porifera). Biology. Ecology. Taxonomy, Systematics and Anatomy (Species Inner Body Architecture)
DOI: 10.17632/w98tg6wtd2.1
title: Marine Sponges (Porifera). Biology. Ecology. Taxonomy, Systematics and Anatomy (Species Inner Body Architecture)

description: Marine Sponges (Porifera). Biology. Ecology. Taxonomy, Systematics and Anatomy (Species Inner Body Architecture)
DOI: 10.25574/26614
title: Chandra X-ray Observatory ObsId 26614

description: A Search for Pulsar Filaments
DOI: 10.25921/pwz5-sy40
title: NOAA/WDS Paleoclimatology - Compilation of Strontium and Neodymium Isotopic Data from the Iberian Peninsula for Provenance Studies

description: Records of past climate and ocean circulation derived from marine sediments. Parameter keywords describe what was measured in this data set.  Additional summary information can be found in the abstracts of papers listed in the data set citations.
description: This compilation gathers Strontium and Neodymium isotopic data (87Sr/86Sr and ?Nd) meassured on sedimentary, magmatic, and metamorphic bedrocks from across the Iberian Peninsula. The dataset is intended to characterize regional isotopic endmembers for use in provenance studies, sediment source tracing, and paleoennvironmental reconstructions in adjacent marine and continental settings.
     Provided Keywords: Iberian Peninsula, Neodymium isotopes, Strontium isotopes, Sediment provenance
DOI: 10.5281/zenodo.17940538
title: Use of Christian Religious Terminology in Dutch Climate-Related Social Media Posts (2023)

description: This dataset contains anonymized Dutch-language social media posts from 2023 in which Christian religious terminology is used in relation to climate change and climate-related debates. The dataset includes only post-level textual content; no metadata beyond anonymized item identifiers is provided.

The collection focuses specifically on the linguistic presence and rhetorical use of Christian concepts, metaphors, and references (e.g., biblical language, notions of faith, sin, dogma, or religious authority) within climate discourse. It does not aim to capture all forms of religious expression, nor does it include non-Christian religious vocabularies.
DOI: 10.5281/zenodo.17940539
title: Use of Christian Religious Terminology in Dutch Climate-Related Social Media Posts (2023)

description: This dataset contains anonymized Dutch-language social media posts from 2023 in which Christian religious terminology is used in relation to climate change and climate-related debates. The dataset includes only post-level textual content; no metadata beyond anonymized item identifiers is provided.

The collection focuses specifically on the linguistic presence and rhetorical use of Christian concepts, metaphors, and references (e.g., biblical language, notions of faith, sin, dogma, or religious authority) within climate discourse. It does not aim to capture all forms of religious expression, nor does it include non-Christian religious vocabularies.
DOI: 10.25921/bc7w-hc39
title: NOAA/WDS Paleoclimatology - Iberian Margin Core-top Sr and Nd Isotope Data during the Holocene

description: Records of past climate and ocean circulation derived from marine sediments. Parameter keywords describe what was measured in this data set.  Additional summary information can be found in the abstracts of papers listed in the data set citations.
description: This study uses strontium and neodymium isotopic data (87Sr/86Sr and eNd) measured on core-top sediments to trace the provenance of material deposited along the Atlantic Iberian Margin. To further constrain the dominant sediment transport dynamics and identify areas of modern deposition and erosion, we combine these isotopic measurements with radiocarbon (¹4C) dating of planktonic foraminifera from the same core tops distributed along the margin. Depths range from -479m to -1997m
      Provided Keywords: Iberian Margin, Mediterranean Outflow Water, Neodymium isotopes, Strontium isotopes, Radiocarbon dating
DOI: 10.7929/issda/9z4mff
title: The Irish Longitudinal Study on Ageing (TILDA) Wave 3, 2014-2015

description: TILDA collects information on all aspects of health, economic and social circumstances from adults aged 50 years and over resident in Ireland. Waves of data collection take place every two years. TILDA provides a comprehensive and accurate picture of the characteristics, needs and contributions of older persons in Ireland to inform and support improvements in policy and practice; advancements in technology and innovation; tailored education and training through an enhanced ageing research infrastructure; harmonisation with leading international research to ensure adoption of best policy and practice and comparability of results. TILDA is necessary to act as the foundation on which we can plan appropriate health, medical, social and economic policies for our older adults. Wave 3 dataset: v3.7 The version 3.7 PMF dataset includes data from 6,397 TILDA respondents who completed a third interview during the Wave 3 fieldwork. Data from any respondents who were new at Wave 3, respondents who had passed away between the waves and data from returning respondents who required a proxy interview have been removed (n=115) to protect anonymity. The dataset includes data from the home interview, the self-completion questionnaire and certain other variables derived from this data. More information on these derived variables can be found in the ‘Wave 3 Derived Variable Codebook’. The new release contains selected data from the health assessment.
DOI: 10.5281/zenodo.17940629
title: COMPARATIVE ANALYSIS OF TRADITIONAL ARCHITECTURAL DESIGN AND GENERATIVE DESIGN: QUALITY METRICS, TIMEFRAMES AND LABOUR INTENSITY

description: Against the backdrop of global digital transformation, the architecture, engineering and construction (AEC) industry is confronted with the need to reconsider its fundamental design approaches. This study presents a comprehensive comparative analysis of traditional architectural design methodology and approaches based on generative design (GD) and artificial intelligence algorithms. The aim of the paper is to quantitatively and qualitatively verify the effectiveness of generative tools along three key vectors: design quality metrics (energy performance, functional and structural optimisation), temporal characteristics of the process (duration of project phases) and labour intensity (distribution of person-hours and team roles). The methodological framework comprises a systematic review of recent scientific literature, analysis of industry reports (AIA, RIBA, McKinsey) and an in-depth examination of documented practice-based case studies (Autodesk, Zaha Hadid Architects, LIFTbuild). The findings demonstrate that generative design delivers statistically significant improvements in asset performance (reductions in energy consumption of up to 23–28% and in material intensity of structural systems by 20–30%) and radically reshapes the temporal structure of projects, reducing option-seeking phases from weeks to days. However, the study also identifies that the adoption of these technologies is associated with an initial increase in labour intensity at the stages of data preparation and algorithm development, and requires a substantial transformation of the competences of design teams. The paper contributes to the ongoing discourse on the shift from heuristic to evidence-based and algorithmic design by offering a holistic assessment of the return on investment (ROI) of digital transformation.
DOI: 10.5281/zenodo.17940628
title: COMPARATIVE ANALYSIS OF TRADITIONAL ARCHITECTURAL DESIGN AND GENERATIVE DESIGN: QUALITY METRICS, TIMEFRAMES AND LABOUR INTENSITY

description: Against the backdrop of global digital transformation, the architecture, engineering and construction (AEC) industry is confronted with the need to reconsider its fundamental design approaches. This study presents a comprehensive comparative analysis of traditional architectural design methodology and approaches based on generative design (GD) and artificial intelligence algorithms. The aim of the paper is to quantitatively and qualitatively verify the effectiveness of generative tools along three key vectors: design quality metrics (energy performance, functional and structural optimisation), temporal characteristics of the process (duration of project phases) and labour intensity (distribution of person-hours and team roles). The methodological framework comprises a systematic review of recent scientific literature, analysis of industry reports (AIA, RIBA, McKinsey) and an in-depth examination of documented practice-based case studies (Autodesk, Zaha Hadid Architects, LIFTbuild). The findings demonstrate that generative design delivers statistically significant improvements in asset performance (reductions in energy consumption of up to 23–28% and in material intensity of structural systems by 20–30%) and radically reshapes the temporal structure of projects, reducing option-seeking phases from weeks to days. However, the study also identifies that the adoption of these technologies is associated with an initial increase in labour intensity at the stages of data preparation and algorithm development, and requires a substantial transformation of the competences of design teams. The paper contributes to the ongoing discourse on the shift from heuristic to evidence-based and algorithmic design by offering a holistic assessment of the return on investment (ROI) of digital transformation.
DOI: 10.17632/xz2f4wtnns
title: Hesam Hosseinzadeh

description: Changes in elongation of soft-liners
DOI: 10.17632/xz2f4wtnns.1
title: Hesam Hosseinzadeh

description: Changes in elongation of soft-liners
DOI: 10.17632/chj399ms9c
title: Data for: Performance Evaluation of Baseflow Separation Techniques at Emba Madre Watershed, Ethiopia

description: 1: Daily Precipitation Data (1980–2019)
This dataset includes continuous daily precipitation records for the study watershed covering the period 1980–2019. 

2: Daily Streamflow with Separated Baseflow for All Ten Methods (1986–2015)
This dataset provides observed daily streamflow along with corresponding baseflow components derived from ten baseflow separation techniques for the period 1986–2015. 

3: Daily Baseflow Index (BFI) for All Ten Methods
This dataset contains daily Baseflow Index (BFI) values estimated using ten widely applied baseflow separation methods.
DOI: 10.17632/chj399ms9c.1
title: Data for: Performance Evaluation of Baseflow Separation Techniques at Emba Madre Watershed, Ethiopia

description: 1: Daily Precipitation Data (1980–2019)
This dataset includes continuous daily precipitation records for the study watershed covering the period 1980–2019. 

2: Daily Streamflow with Separated Baseflow for All Ten Methods (1986–2015)
This dataset provides observed daily streamflow along with corresponding baseflow components derived from ten baseflow separation techniques for the period 1986–2015. 

3: Daily Baseflow Index (BFI) for All Ten Methods
This dataset contains daily Baseflow Index (BFI) values estimated using ten widely applied baseflow separation methods.
DOI: 10.17632/9bnxpp2rhm
title: Feature_extraction_data_and_code

description: This dataset contains sample raw sensor data and feature extraction code supporting the research article "Spatiotemporal Multi-Sensor Characterization of Melt Pool Dynamics in Laser Directed Energy Deposition."
The uploaded materials include:

Sample_Data folder: Representative raw data from multiple sensors (coaxial CMOS camera, near-infrared camera, microphone, and optical spectrometer) collected during L-DED process monitoring
Feature extraction code: Python scripts (e.g., cmos_feature_extraction.py) demonstrating the algorithms used to extract spatiotemporal features from the multi-sensor signals

These materials provide examples of the synchronized heterogeneous sensor data and the computational methods employed in our spatiotemporal feature fusion framework. The dataset is intended to support reproducibility and serve as a reference for researchers developing multi-sensor monitoring systems for additive manufacturing processes.
DOI: 10.5281/zenodo.17772224
title: Low risk of prolonged SARS-CoV-2 shedding and molecular evolution in kidney transplant recipients during the Omicron era - data sheets
DOI: 10.5281/zenodo.17772225
title: Low risk of prolonged SARS-CoV-2 shedding and molecular evolution in kidney transplant recipients during the Omicron era - data sheets
DOI: 10.17632/9bnxpp2rhm.1
title: Feature_extraction_data_and_code

description: This dataset contains sample raw sensor data and feature extraction code supporting the research article "Spatiotemporal Multi-Sensor Characterization of Melt Pool Dynamics in Laser Directed Energy Deposition."
The uploaded materials include:

Sample_Data folder: Representative raw data from multiple sensors (coaxial CMOS camera, near-infrared camera, microphone, and optical spectrometer) collected during L-DED process monitoring
Feature extraction code: Python scripts (e.g., cmos_feature_extraction.py) demonstrating the algorithms used to extract spatiotemporal features from the multi-sensor signals

These materials provide examples of the synchronized heterogeneous sensor data and the computational methods employed in our spatiotemporal feature fusion framework. The dataset is intended to support reproducibility and serve as a reference for researchers developing multi-sensor monitoring systems for additive manufacturing processes.
DOI: 10.17632/xs698csnym
title: Engineering Asset Management Challenges
DOI: 10.17632/xs698csnym.1
title: Engineering Asset Management Challenges
DOI: 10.17632/xgpk9y4kgw.2
title: Redescription and Embryonic Developmental Dynamics of Aphelenchoides bicaudatus with Implications for Nematode Taxonomy and Ecology

description: High-resolution microscopy image
DOI: 10.6084/m9.figshare.30851456
title: Phylogenetic Trees for Avian Hosts of WNV and SLEV

description: This dataset contains the full set of 1,000 posterior phylogenetic trees obtained from BirdTree.org (Jetz et al. 2012) for all bird species included in the WNV and SLEV exposure analyses. The trees were generated using the Hackett et al. (2008) backbone and are provided in Nexus format.
DOI: 10.6084/m9.figshare.30851456.v1
title: Phylogenetic Trees for Avian Hosts of WNV and SLEV

description: This dataset contains the full set of 1,000 posterior phylogenetic trees obtained from BirdTree.org (Jetz et al. 2012) for all bird species included in the WNV and SLEV exposure analyses. The trees were generated using the Hackett et al. (2008) backbone and are provided in Nexus format.
DOI: 10.15468/dl.zer42v
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-5.47764 36.11764,-5.48117 36.11642,-5.48268 36.11479,-5.48608 36.1158,-5.48808 36.11645,-5.4992 36.11258,-5.49834 36.11066,-5.48809 36.11368,-5.48305 36.11336,-5.47696 36.11649,-5.47764 36.11764))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus suber"
 ]
}

 The dataset includes 63 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053706-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gvc724jhsg
title: mTOR signaling during T-cell activation promotes cytokine production in T-cells through 3’UTR-mediated translation control. Jurgens et al.

description: All images and blots generated in the paper: mTOR signaling during T-cell activation promotes cytokine production in T-cells through 3’UTR-mediated translation control. by Jurgens et al.
DOI: 10.17632/gvc724jhsg.1
title: mTOR signaling during T-cell activation promotes cytokine production in T-cells through 3’UTR-mediated translation control. Jurgens et al.

description: All images and blots generated in the paper: mTOR signaling during T-cell activation promotes cytokine production in T-cells through 3’UTR-mediated translation control. by Jurgens et al.
DOI: 10.17632/6v82tfg62y
title: The minimum wage standard + CO2（update）

description: The impact of minimum wage increases on firms’ carbon emissions.
DOI: 10.17632/6v82tfg62y.1
title: The minimum wage standard + CO2（update）

description: The impact of minimum wage increases on firms’ carbon emissions.