cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/9810040401-eng
title: Occupation by major field of study (detailed, 4-digit): Canada, provinces and territories

description: Detailed occupational distribution by detailed field of study, for provinces and territories.
DOI: 10.25318/9810040401-fra
title: Profession, selon le principal domaine d’études (détaillé, code à quatre chiffres) : Canada, provinces et territoires

description: Répartition détaillée des professions selon le domaine d’études détaillé, pour les provinces et les territoires.
DOI: 10.5519/qd.pbv9o8ws
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5022 records)
DOI: 10.5281/zenodo.8430433
title: Numerical weather simulation using COSMOiso in June 2019 during L-WAIVE field campaign: selected model output and post-processed data.

description: This dataset consists of extracts from a simulation with the isotope-enabled regional numerical weather prediction model COSMOiso, which covers the timespan of the Lacustrine-Water vApor Isotope inVentory Experiment (L-WAIVE) field campaign taking place in June 2019 in the Annecy valley in the French Alps (Chazette et al. 2021).The simulation has a horizontal resolution of 0.1° (~10km) and 40 vertical levels.
This COSMOiso simulation is used in Thurnherr et al. (submitted) to compare stable water isotope measurements from various platforms. Here, we provide selected model outputs and post-processed data used in this comparison study. The post-processed data contain:

COSMOiso output files for time steps 20190612_12, 20190613_12, 20190615_13, 20190616_13, 20190617_12, 20190622_12.
Pressure weighted total and subcolumn averages for time steps 20190612_12, 20190613_12, 20190615_13, 20190616_13, 20190617_12, 20190622_12.
Vertical cross section of selected variables at Annecy, the location of the L-WAIVE field campaign, for the simulation time window.
Interpolated time series of subcolumn and total column averages at Annecy, the location of the L-WAIVE field campaign, for the simulation time window.
Interpolated variables along the flight tracks from the L-WAIVE campaign (see Sodemann and Seidl, 2023).
See also README files for more details on the provided data.
To access further model output and post-processed data, please contact the dataset authors.
DOI: 10.5281/zenodo.8430434
title: Numerical weather simulation using COSMOiso in June 2019 during L-WAIVE field campaign: selected model output and post-processed data.

description: This dataset consists of extracts from a simulation with the isotope-enabled regional numerical weather prediction model COSMOiso, which covers the timespan of the Lacustrine-Water vApor Isotope inVentory Experiment (L-WAIVE) field campaign taking place in June 2019 in the Annecy valley in the French Alps (Chazette et al. 2021).The simulation has a horizontal resolution of 0.1° (~10km) and 40 vertical levels.
This COSMOiso simulation is used in Thurnherr et al. (submitted) to compare stable water isotope measurements from various platforms. Here, we provide selected model outputs and post-processed data used in this comparison study. The post-processed data contain:

COSMOiso output files for time steps 20190612_12, 20190613_12, 20190615_13, 20190616_13, 20190617_12, 20190622_12.
Pressure weighted total and subcolumn averages for time steps 20190612_12, 20190613_12, 20190615_13, 20190616_13, 20190617_12, 20190622_12.
Vertical cross section of selected variables at Annecy, the location of the L-WAIVE field campaign, for the simulation time window.
Interpolated time series of subcolumn and total column averages at Annecy, the location of the L-WAIVE field campaign, for the simulation time window.
Interpolated variables along the flight tracks from the L-WAIVE campaign (see Sodemann and Seidl, 2023).
See also README files for more details on the provided data.
To access further model output and post-processed data, please contact the dataset authors.
DOI: 10.25345/c54f1mv5p
title: MassIVE MSV000093290 - Lambert_SAINT4722_BioID_Fusion_P134_VS12
title: This set of submissions contains the mass spectrometry files for the manuscript by Kougnassoukou Tchara et al. that describes the functional characterization of the human acetyl lysine machinery. AP-MS, BioID and endogenous experiments were performed from Flp-In T-REx HEK293, A375 and 501mel cells and MS files were acquired on 5600 TripleTOF, Orbitrap Fusion, Orbitrap Elite, Orbitrap Velos and LTQ mass spectrometers. Different MassIVE submissions corresponding to SAINT Task Results (see list below) have been made; this README file pertains to all submissions. Please refer to the individual Tables 1 within each submission for details of submitted files. For questions, please contact Jean-Philippe Lambert (lambert@lunenfeld.ca).
DOI: 10.25318/9810040701-eng
title: Employment income groups by highest level of education: Canada, provinces and territories

description: Distribution of earners by highest certificate, diploma or degree and earnings/employment income. For the Pan-Canadian Education Indicators Program (PCEIP).
DOI: 10.25318/9810040701-fra
title: Tranches de revenu d’emploi, selon le plus haut niveau de scolarité : Canada, provinces et territoires

description: Répartition des personnes ayant des revenus ou gains d'emploi, selon le plus haut certificat, diplôme ou grade et les revenus ou gains d'emploi. Pour le Programme d'indicateurs pancanadiens de l'éducation (PIPCE).
DOI: 10.25318/9810040901-eng
title: Employment income statistics by major field of study (detailed, 4-digit) and highest level of education: Canada, provinces and territories

description: Employment income (in 2019 and 2020) by detailed major field of study and highest certificate, diploma or degree, including work activity (full time full year, part time full year, or part year).
DOI: 10.25318/9810040901-fra
title: Statistiques du revenu d’emploi, selon le principal domaine d’études (détaillé, code à quatre chiffres) et le plus haut niveau de scolarité : Canada, provinces et territoires

description: Revenu d’emploi (en 2019 et en 2020) selon le principal domaine d’études détaillé et le plus haut certificat, diplôme ou grade, y compris le régime de travail (toute l'année à temps plein, toute l'année à temps partiel, ou une partie de l'année).
DOI: 10.6084/m9.figshare.24497467
title: Alignment for partial nrSSU data including the new species Sirolpidium litorale

description: Alignment file that has been used in the phylogenetic reconstructions to reveal the phylogenetic relationships of a new species of Sirolpidium (oomycetes), parasitic to Urospora neglecta (green algae).
DOI: 10.6084/m9.figshare.24497467.v1
title: Alignment for partial nrSSU data including the new species Sirolpidium litorale

description: Alignment file that has been used in the phylogenetic reconstructions to reveal the phylogenetic relationships of a new species of Sirolpidium (oomycetes), parasitic to Urospora neglecta (green algae).
DOI: 10.25318/9810038501-eng
title: High school completion by census year: Canada, provinces and territories, census metropolitan areas and census agglomerations

description: Historical census data (2006, 2011, 2016 and 2021) on percent distribution of the population by secondary (high) school diploma or equivalency certificate, including combinations of high school and postsecondary credentials.
DOI: 10.5281/zenodo.10070093
title: Input files and movie visualizations for convection models discussed in Becker and Fuchs, "Generation of evolving plate boundaries and toroidal flow from visco-plastic damage-rheology mantle convection and continents", manuscript revised for G-Cubed

description: These input files are for the CitcomS software as available on github.com/geodynamics/citcoms and used in the version under commit 2bda530. They can be used to recreate the models discussed in Becker and Fuchs (revised manuscript submitted to G-Cubed, 11/2023), with model codes discussed and listed in Table 1 of the preprint as provided here. We also provide selected animations of the time dependence of model output, referenced to the same model names.
DOI: 10.5281/zenodo.10069996
title: Moisture Flux for the Arctic Ocean AIRS-AMSU Version 6 data
DOI: 10.5281/zenodo.10069995
title: Moisture Flux for the Arctic Ocean AIRS-AMSU Version 6 data
DOI: 10.5281/zenodo.8375343
title: GAMMA: Galactic Attributes of Mass, Metallicity, and Age Dataset

description: We introduce the GAMMA (Galactic Attributes of Mass, Metallicity, and Age) dataset, a comprehensive collection of galaxy data tailored for Machine Learning applications. This dataset offers detailed 2D maps and 3D cubes of 11 727 galaxies, capturing essential attributes: stellar age, metallicity, and mass.
Together with the dataset we publish our code to extract any other stellar or gaseous property from the raw simulation suite to extend the dataset beyond these initial properties, ensuring versatility for various computational tasks. Ideal for feature extraction, clustering, and regression tasks, GAMMA offers a unique lens for exploring galactic structures through computational methods and is a bridge between astrophysical simulations and the field of scientific machine learning (ML).
As a first benchmark, we apply Principal Component Analysis (PCA) on this dataset. We find that PCA effectively captures the key morphological features of galaxies with a small number of components. We achieve a dimensionality reduction by a factor of ∼200 (∼3650) for 2D images (3D cubes) with a reconstruction accuracy below 5%.
We calculate UMAP (Uniform Manifold Approximation and Projection for Dimension Reduction) on the lower dimensional PCA scores of the 2D images to visualize the image space. An interactive version of this plot can be accessed using an online Dashboard (hover over a point to see the galaxy image and the IllustrisTNG Subhalo ID).
All the code to generate this dataset and load the data structure is publicly available on GitHub, with an additional documentation page hosted on ReadTheDocs.
DOI: 10.5281/zenodo.8375344
title: GAMMA: Galactic Attributes of Mass, Metallicity, and Age Dataset

description: We introduce the GAMMA (Galactic Attributes of Mass, Metallicity, and Age) dataset, a comprehensive collection of galaxy data tailored for Machine Learning applications. This dataset offers detailed 2D maps and 3D cubes of 11 727 galaxies, capturing essential attributes: stellar age, metallicity, and mass.
Together with the dataset we publish our code to extract any other stellar or gaseous property from the raw simulation suite to extend the dataset beyond these initial properties, ensuring versatility for various computational tasks. Ideal for feature extraction, clustering, and regression tasks, GAMMA offers a unique lens for exploring galactic structures through computational methods and is a bridge between astrophysical simulations and the field of scientific machine learning (ML).
As a first benchmark, we apply Principal Component Analysis (PCA) on this dataset. We find that PCA effectively captures the key morphological features of galaxies with a small number of components. We achieve a dimensionality reduction by a factor of ∼200 (∼3650) for 2D images (3D cubes) with a reconstruction accuracy below 5%.
We calculate UMAP (Uniform Manifold Approximation and Projection for Dimension Reduction) on the lower dimensional PCA scores of the 2D images to visualize the image space. An interactive version of this plot can be accessed using an online Dashboard (hover over a point to see the galaxy image and the IllustrisTNG Subhalo ID).
All the code to generate this dataset and load the data structure is publicly available on GitHub, with an additional documentation page hosted on ReadTheDocs.
DOI: 10.5281/zenodo.6491226
title: Tumor-activated lymph node fibroblasts suppress T cell function in diffuse large B cell lymphoma

description: The following folders/files are part of this repository: “List of samples” excel file: contains the list of samples used in this project CD8_ANALYSIS: contains two folders: CTRLs (control samples) and TMA (DLBCL TMA sample cores in duplicate). Each subfolder contains the following excel files: ImageNumber_legend_and_counts: excel file summarizing the image number associated to each sample, total number of CD8 and number of CD8 in contact with stroma Info_CP_Pipeline: cell profile pipeline used for CD8 analysis MyExpt_CD8_objects: raw data of all CD8 MyExpt_CD8_on_stroma: raw data of all CD8 ORIGINAL_IMAGES: it contains two folders: exclusion_masks: masks used to exclude areas of the tissue from the analysis Original_images: spillover corrected TIFF images for each channel STROMAL_CELL_ANALYSIS: FRCs_Network_Shape: overlay TIFF images of the stromal network shape PDL1_PDL2_Stromal_Masks: TIFF images of stromal cell masks for PD-L1 and PD-L2 checkpoints expression Stromal_Cell_Masks: TIFF images of stromal cell masks for the three main stromal subpopulations of the lymph node (BECs, LECs, FRCs)
DOI: 10.5281/zenodo.10040505
title: Tumor-activated lymph node fibroblasts suppress T cell function in diffuse large B cell lymphoma

description: The following folders/files are part of this repository:


 



	
“List of samples” excel file: contains the list of samples used in this project



 



	
CD8_ANALYSIS:  contains two folders: CTRLs (control samples) and TMA (DLBCL TMA sample cores in duplicate).



Each subfolder contains the following excel files:



	
ImageNumber_legend_and_counts: excel file summarizing the image number associated to each sample, total number of CD8 and number of CD8 in contact with stroma
	
Info_CP_Pipeline: cell profile pipeline used for CD8 analysis
	
MyExpt_CD8_objects: raw data of all CD8
	
MyExpt_CD8_on_stroma: raw data of all CD8



 



	
ORIGINAL_IMAGES: it contains two folders:
	

		
exclusion_masks: masks used to exclude areas of the tissue from the analysis
		
Original_images:  spillover corrected TIFF images for each channel
	
	



 



	
STROMAL_CELL_ANALYSIS:
	

		
FRCs_Network_Shape: overlay TIFF images of the stromal network shape
		
PDL1_PDL2_Stromal_Masks: TIFF images of stromal cell masks for PD-L1 and PD-L2 checkpoints expression
		
Stromal_Cell_Masks: TIFF images of stromal cell masks for the three main stromal subpopulations of the lymph node (BECs, LECs, FRCs)
DOI: 10.5281/zenodo.6491225
title: Tumor-activated lymph node fibroblasts suppress T cell function in diffuse large B cell lymphoma

description: The following folders/files are part of this repository:


 



	
“List of samples” excel file: contains the list of samples used in this project



 



	
CD8_ANALYSIS:  contains two folders: CTRLs (control samples) and TMA (DLBCL TMA sample cores in duplicate).



Each subfolder contains the following excel files:



	
ImageNumber_legend_and_counts: excel file summarizing the image number associated to each sample, total number of CD8 and number of CD8 in contact with stroma
	
Info_CP_Pipeline: cell profile pipeline used for CD8 analysis
	
MyExpt_CD8_objects: raw data of all CD8
	
MyExpt_CD8_on_stroma: raw data of all CD8



 



	
ORIGINAL_IMAGES: it contains two folders:
	

		
exclusion_masks: masks used to exclude areas of the tissue from the analysis
		
Original_images:  spillover corrected TIFF images for each channel
	
	



 



	
STROMAL_CELL_ANALYSIS:
	

		
FRCs_Network_Shape: overlay TIFF images of the stromal network shape
		
PDL1_PDL2_Stromal_Masks: TIFF images of stromal cell masks for PD-L1 and PD-L2 checkpoints expression
		
Stromal_Cell_Masks: TIFF images of stromal cell masks for the three main stromal subpopulations of the lymph node (BECs, LECs, FRCs)
DOI: 10.5281/zenodo.7777367
title: Supplemental package of a study on the use of qualitative surveys in software engineering researchers

description: This package contains the list of analyzed papers in a meta-study on the use of qualitative surveys in software engineering research. It contains all the files obtained in queries to scientific databases, and the list of analyzed papers containing how they were classified according to the aspects analyzed.
DOI: 10.5281/zenodo.7777368
title: Supplemental package of a study on the use of qualitative surveys in software engineering researchers

description: This package contains the list of analyzed papers in a meta-study on the use of qualitative surveys in software engineering research. It contains all the files obtained in queries to scientific databases, and the list of analyzed papers containing how they were classified according to the aspects analyzed.
DOI: 10.5281/zenodo.10070156
title: Supplemental package for a study on product managers in software startups

description: This package contains data analyzed in the context of a grounded theory study on the role of product managers in software startups. It contains the URLs of a list of identified blog posts where practitioners present their experiences as product managers in software startups, an interview guide used to perform interviews with product managers and a spreadsheet presenting the codes that emerged in the grounded theory process.
DOI: 10.5281/zenodo.7034251
title: Supplemental package for a study on product managers in software startups

description: This package contains data analyzed in the context of a grounded theory study on the role of product managers in software startups. It contains the URLs of a list of identified blog posts where practitioners present their experiences as product managers in software startups, an interview guide used to perform interviews with product managers and a spreadsheet presenting the codes that emerged in the grounded theory process.
DOI: 10.5281/zenodo.7034252
title: Supplemental package for a study on product managers in software startups

description: This package contains data analyzed in the context of a grounded theory study on the role of product managers in software startups. It contains the URLs of a list of identified blog posts where practitioners present their experiences as product managers in software startups, an interview guide used to perform interviews with product managers and a spreadsheet presenting the codes that emerged in the grounded theory process.
DOI: 10.5281/zenodo.10069983
title: Invasive plant dataset

description: This dataset pertains to three types of plants: the apple tree (Malus pumila Mill.), and the invasive species Erigeron annuus (L.) Pers. and Erigeron canadensis L. Images of all three species were collected on-site in an apple orchard using a drone. The drone was equipped with a DJI DL 35mm F2.8 LS ASPH lens, with a sensor size of 35.9 mm by 24 mm. To preserve greater image detail and minimize background blurring, the aperture was set at f/16 during image capture. The images were taken from heights of 5m, 10m, 15m, 20m, and 25m, with corresponding Ground Sample Distances (GSD) of 0.0625 cm/pixel, 0.125 cm/pixel, 0.1875 cm/pixel, 0.25 cm/pixel, and 0.3125 cm/pixel, respectively. The dataset includes both original and data-augmented images. Data augmentation techniques employed include flipping, rotation, elastic deformation, contrast adjustment, brightness modification, sharpening changes, noise addition, blurring, and mosaicking. The images are 512×512 pixels in size.
DOI: 10.5281/zenodo.10069982
title: Invasive plant dataset

description: This dataset pertains to three types of plants: the apple tree (Malus pumila Mill.), and the invasive species Erigeron annuus (L.) Pers. and Erigeron canadensis L. Images of all three species were collected on-site in an apple orchard using a drone. The drone was equipped with a DJI DL 35mm F2.8 LS ASPH lens, with a sensor size of 35.9 mm by 24 mm. To preserve greater image detail and minimize background blurring, the aperture was set at f/16 during image capture. The images were taken from heights of 5m, 10m, 15m, 20m, and 25m, with corresponding Ground Sample Distances (GSD) of 0.0625 cm/pixel, 0.125 cm/pixel, 0.1875 cm/pixel, 0.25 cm/pixel, and 0.3125 cm/pixel, respectively. The dataset includes both original and data-augmented images. Data augmentation techniques employed include flipping, rotation, elastic deformation, contrast adjustment, brightness modification, sharpening changes, noise addition, blurring, and mosaicking. The images are 512×512 pixels in size.
DOI: 10.6084/m9.figshare.24498184
title: Power Analysisi

description: Power analysis for the construction of sociopolitical structures
DOI: 10.6084/m9.figshare.24498184.v1
title: Power Analysisi

description: Power analysis for the construction of sociopolitical structures
DOI: 10.6084/m9.figshare.24498205
title: Qualitiative data

description: Interviews in ecotourism destinations
DOI: 10.6084/m9.figshare.24498205.v1
title: Qualitiative data

description: Interviews in ecotourism destinations
DOI: 10.34740/kaggle/dsv/6874833
title: Deaths in Israel per day - 1/1/2000-10/8/2023
DOI: 10.5281/zenodo.10070243
title: Recommender Systems and AI Techniques in E-commerce: An Analysis of Trends and the Research Agenda
DOI: 10.5281/zenodo.10070242
title: Recommender Systems and AI Techniques in E-commerce: An Analysis of Trends and the Research Agenda
DOI: 10.17909/a1hb-e745
title: VV 114 MIRI MRS

description: These MIRI MRS data were used to generate the cubes for VV 114 delivered as part of JWST ERS program 1328
DOI: 10.20375/0000-0011-0e1c-0
title: DIF_CR_0823-questionnaire-revised.pdf
DOI: 10.20375/0000-0011-0e1d-f
title: DIF_CR_0823.sav
DOI: 10.20375/0000-0011-0e1e-e
title: DIF_CR_0823-selected results-corruption(UKR).pdf
DOI: 10.20375/0000-0011-0e1f-d
title: DIF_CR_0823-selected results-country+war.pdf
DOI: 10.20375/0000-0011-0e20-a
title: DIF_CR_0823-selected results-volunteering.pdf
DOI: 10.20375/0000-0011-0e21-9
title: DIF_CR_0823.xlsx
DOI: 10.48320/93efad5e-ad66-4d8d-9939-9d9d29d344e0
title: Omnibus Poll Ukraine - August 2023 (Ilko Kucheriv Democratic Initiatives Foundation + Razumkov Centre)
DOI: 10.6084/m9.figshare.24498226
title: Datos de SR en hombres y mujeres sanos

description: datos de calculo de Strain por elastografía de compresión a una muestra de voluntarios sanos hombres y mujeres
DOI: 10.6084/m9.figshare.24498226.v2
title: Datos de SR en hombres y mujeres sanos

description: datos de calculo de Strain por elastografía de compresión a una muestra de voluntarios sanos hombres y mujeres
DOI: 10.6084/m9.figshare.24498226.v1
title: ShapiroWilkHombres.xlsx

description: Test de normalidad en datos de Strain por elastografía de compresión a una muestra de 11 voluntarios sanos
DOI: 10.6084/m9.figshare.21820210
title: A systematic review of lean simulation games in the construction industry

description: Lean philosophy has garnered attention in the construction industry world-wide and lean simulation games have arguably played a vital role in lean’s uptake by the architecture, engineering, and construction (AEC) industry. Although numerous lean simulation games are already being used extensively both in industry and academia, there has been, as yet, no systematic investigation in this area. In this context, this paper reports a systematic literature review to analyse existing lean simulations and games. Relevant databases were identified, and a search strategy was devised to uncover relevant literature. Peer-reviewed papers were vetted according to a set of pre-determined inclusion and exclusion criteria. Following the screening process, 52 documents were identified from the databases. From the final set of papers, 96 games in total were identified. The papers were analysed for a variety of factors including distribution along a timeline, database homes, authorship and countries of origin using social network analysis, and depth of discussion of particular simulations. Findings showed that the popularity of lean simulation games in the construction sector has grown in recent decades. According to our systematic review of the literature, the International Group for Lean Construction (IGLC) serves as a significant contributor to the emergence and dissemination of new and existing lean games and simulations. The analysis also indicated that most contributions have originated in the United States. Our social network analysis also indicated that a few key authors collaborate extensively, while others in the periphery are beginning to publish and collaborate.