cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2ghfbr
title: CCDC 2278944: Experimental Crystal Structure Determination

description: Related Article: Yize Zhang|2023|CSD Communication|||
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.cc2g8hqz
title: CCDC 2272291: Experimental Crystal Structure Determination

description: Related Article: Yize Zhang|2023|CSD Communication|||
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.cc2ghl4q
title: CCDC 2279093: Experimental Crystal Structure Determination

description: Related Article: Jing Wang, Yiwen Zhu, Jun Ying, Xiao-Feng Wu|2023|Tetrahedron|146|133631|doi:10.1016/j.tet.2023.133631
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: 10.15139/s3/gsmi8l
title: Ethnographic Interviews: U.S. Army and Use of Psychopharmaceuticals in Iraq and Afghanistan Wars

description: This data set draws from ethnographic fieldwork examining the use of psychopharmaceuticals by the US Army in the wars in Iraq and Afghanistan. Fieldwork included semi-structured interviews, ethnographic observation at military healthcare conferences and clinical trainings, and archival research. This record focuses on the semi-structured interviews conducted with Army personnel and veterans that were prescribed, used, and/or witnessed the use of psychopharmaceuticals while deployed in Iraq and Afghanistan. Due to the sensitive nature of the topic, the interview transcripts are not made publicly available. The record includes only aggregate data and qualitative codes.
DOI: 10.25345/c5zg6gj1r
title: MassIVE MSV000093152 - Shotgun proteomics of thyroid carcinoma exosomes: insight into the role of exosomal proteins in carcinogenesis and thyroid homeostasis
title: The transport of molecules via exosomes is one of the factors involved in cancer development, and transferred molecules can serve as specific tumor biomarkers. The aim of the study was the LC MS/MS proteomic analysis of exosomes released by FTC and 8305C thyroid cancer cell lines, and reference Nthy-ori 3-1 normal thyroid follicular cells. A total of 1769 unique proteins were identified in the exosome samples. For exosomes derived from Nthy ori 3 1 cell the highest number of 1504 proteins was identified, while exosomes from thyroid carcinomas FTC and 8305C cell lines had 730 and 1304 identified proteins, respectively. For the identified proteins, gene ontology analysis was performed in terms of their cellular location, molecular function and involvement in biological processes. For proteins that only appeared in tumor derived FTC- and 8305C-derived exosomes, enriched categories were related to cancer progression and included cell adhesion and positive regulation of cell migration. Also, proteins related to protein N linked glycosylation, drug resistance, and cell response to NK and T cell cytotoxicity were among those unique proteins. Finally label free quantification (LFQ) was performed for identified differentially expressed proteins between all possible group parings. For exosomes from thyroid cancer cells, the most differentiating proteins included collagen alpha 2(I) chain, tenascin, matrix metalloproteinase 1, Interstitial collagenase and C type lectin domain family 11 member A. The obtained results broadened the knowledge about the role of exosomal proteins in thyroid cancer and indicated potential biomarkers for further evaluation in clinical conditions.
DOI: 10.5281/zenodo.10021563
title: Data supporting publication: Two-Dimensional Chiral Metasurfaces Obtained by Geometrically Simple Meta-atom Rotations

description: This repository includes the data corresponding to the figures shown in the journal article entitled "Two-Dimensional Chiral Metasurfaces Obtained by Geometrically Simple Meta-atom Rotations", published in Nano Letters.
DOI: 10.5281/zenodo.10022017
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1977

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1977.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10021562
title: Data supporting publication: Two-Dimensional Chiral Metasurfaces Obtained by Geometrically Simple Meta-atom Rotations

description: This repository includes the data corresponding to the figures shown in the journal article entitled "Two-Dimensional Chiral Metasurfaces Obtained by Geometrically Simple Meta-atom Rotations", published in Nano Letters.
DOI: 10.5281/zenodo.10022016
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1977

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1977.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.6084/m9.figshare.24372508
title: Article SN data.xlsx

description: Research Data is related to the original article that we published.
DOI: 10.34808/7qs4-x263
title: Particle size distribution (laser granulometry) of pristine bismuth oxide (Bi2O3) and gadolinium oxide (Gd2O3) structures

description: Data contain raw results of particle size distribution (by volume) of Bi2O3 and Gd2O3 particles determined using a laser diffraction method (Malvern Mastersizer 2000, Worcestershire, UK).
DOI: 10.34808/tat8-5284
title: Open porosity and oven-dry density of concretes containing magnetite aggregate (M0-M100) mixes

description: Raw data for determination of open porosity and oven-dry densities of concretes containing different amount of magnetite aggregate (M0-M100) mixes. Sample designation is related to the publication associated with dataset.
Sample designation:
M0 - 0% magnetite aggregate
M20 - 20% magnetite aggregate
M40 - 40% magnetite aggregate
M60 - 60% magnetite aggregate
M80 - 80% magnetite aggregate
M100 - 100% magnetite aggregate
DOI: 10.34808/hja3-np79
title: Isothermal calorimetry data for cement pastes containing pristine and silica-coated bismuth oxide (Bi2O3) and gadolinium oxide (Gd2O3) structures

description: Excel file containing raw calorimetric data determined up to 168 h (Tam Air 3 8-channel isothermal calorimeter) of cement pastes containing variable amount of Bi2O3, Gd2O3, Bi2O3-SiO2 and Gd2O3-SiO2 structures. Sample designation in the Excel file is in line with sample designation in the manuscript associated with dataset.
SET 1 contains:Sample 1 ControlSample 2 Bi5Sample 3 Bi10Sample 4 Gd5Sample 5 Gd10
SET 2 contains:Sample 2: Bi5BSample 3: Bi10BSample 4: Bi5ASample 5: Bi10A
SET 3 contains:Sample 3: Gd5BSample 4: Gd10BSample 5: Gd5ASample 6: Gd10A
DOI: 10.6084/m9.figshare.24372552
title: Dataset S1 from Food for all? Wildfire ash fuels growth of diverse eukaryotic plankton

description: Significantly differentially abundant ASVs and their taxonomic and trophic assignments (DESeq2, p &lt; 0.05). Each incubation (SD and SBC) was analyzed separately for differences between ash and control treatments (high versus control = HC, low versus control = LC) while controlling for time point across days 2 and 4.
DOI: 10.6084/m9.figshare.24372552.v1
title: Dataset S1 from Food for all? Wildfire ash fuels growth of diverse eukaryotic plankton

description: Significantly differentially abundant ASVs and their taxonomic and trophic assignments (DESeq2, p &lt; 0.05). Each incubation (SD and SBC) was analyzed separately for differences between ash and control treatments (high versus control = HC, low versus control = LC) while controlling for time point across days 2 and 4.
DOI: 10.6084/m9.figshare.24372558
title: Dataset S2 from Food for all? Wildfire ash fuels growth of diverse eukaryotic plankton

description: Trophic assignments associated with taxonomic names following definitions provided by Mitra et al. 2016 based on information from various sources (see SI Materials and Methods).
DOI: 10.6084/m9.figshare.24372558.v1
title: Dataset S2 from Food for all? Wildfire ash fuels growth of diverse eukaryotic plankton

description: Trophic assignments associated with taxonomic names following definitions provided by Mitra et al. 2016 based on information from various sources (see SI Materials and Methods).
DOI: 10.5281/zenodo.10022061
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1978

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1978.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10022060
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1978

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1978.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.8315806
title: thgie/conan-corpus: Initial Release

description: No description provided.
DOI: 10.5281/zenodo.8320968
title: thgie/conan-corpus: Initial Release

description: No description provided.
DOI: 10.5281/zenodo.8416670
title: WhiteRoadLines: Dataset of 27,025 images (256x256 pixeles at 0.15 m/ pixel) containing representative road lines and markings labelled for multi-class semantic segmentation

description: The dataset consists of 27,025 PNG images (256x256 pixels) of high resolution aerial orthoimages at 0,15 m/pixel of resolution. The images contain information related to representative road lines and markings found on highway pavement and is labelled for multi-class semantic segmentation with tree classes of white roadlines and markings: (1) continuous line (black color), (2) dashed line (dark gray color) and (3) separation of entry and exit lanes (light gray color), together with (4) the background (white color).  
The dataset has been created in the framework of the SROADEX project to train a multiclass semantic segmentation process based on Deep Learning.The data have been generated using scripts developed in Python using Open Source libraries (GDAL/OGR and MapScript) for rasterization of vector cartography representing the three different types of white road lines. This cartography has been obtained from Spanish official sources (National Geographic Institute) that we haverevised and edited in a meticulous and systematic way to verify that the road lines are represented on the cartography according to the orthoimages, available on January 1, 2022 in the download center of the National Center of Geographic Information (CNIG). 
In the digitisation process, 46 homogeneously distributed areas of Spain have been selected. The orthoimages used have been resampled from the original resolution of 0,25m/pixel to 0,15m/pixel, as this is closer to the width of two of the three classes of white lines in the dataset. It resulted in 80% of the images for training (21622), 10% for validation (2702) and 10% for testing (2701). The following table summarises the number of pixels of each category included in each of the three sub-datasets
 
Set              Nº images   Class_1 (continuous line)   Class_2 (discontinuous line) Class_3 (line defining highway entrance or exit)  Class_4 (background)
Train                 21,622      27,633,537                         4,543,552                               3,284,380                                                           1,381,557,923
Validation           2,702        3,433,103                            570,741                                  395,646                                                               172,678,782
Test                    2,701        3,435,072                            536,838                                  429,527                                                               172,611,299
Total                 27,025      34,501,712                         5,651,131                               4,109,553                                                            1,726,848,004
description: Grant PID2020-116448GB-I00, funded by the Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación (ES)
DOI: 10.5281/zenodo.8416669
title: WhiteRoadLines: Dataset of 27,025 images (256x256 pixeles at 0.15 m/ pixel) containing representative road lines and markings labelled for multi-class semantic segmentation

description: The dataset consists of 27,025 PNG images (256x256 pixels) of high resolution aerial orthoimages at 0,15 m/pixel of resolution. The images contain information related to representative road lines and markings found on highway pavement and is labelled for multi-class semantic segmentation with tree classes of white roadlines and markings: (1) continuous line (black color), (2) dashed line (dark gray color) and (3) separation of entry and exit lanes (light gray color), together with (4) the background (white color).  
The dataset has been created in the framework of the SROADEX project to train a multiclass semantic segmentation process based on Deep Learning.The data have been generated using scripts developed in Python using Open Source libraries (GDAL/OGR and MapScript) for rasterization of vector cartography representing the three different types of white road lines. This cartography has been obtained from Spanish official sources (National Geographic Institute) that we haverevised and edited in a meticulous and systematic way to verify that the road lines are represented on the cartography according to the orthoimages, available on January 1, 2022 in the download center of the National Center of Geographic Information (CNIG). 
In the digitisation process, 46 homogeneously distributed areas of Spain have been selected. The orthoimages used have been resampled from the original resolution of 0,25m/pixel to 0,15m/pixel, as this is closer to the width of two of the three classes of white lines in the dataset. It resulted in 80% of the images for training (21622), 10% for validation (2702) and 10% for testing (2701). The following table summarises the number of pixels of each category included in each of the three sub-datasets
 
Set              Nº images   Class_1 (continuous line)   Class_2 (discontinuous line) Class_3 (line defining highway entrance or exit)  Class_4 (background)
Train                 21,622      27,633,537                         4,543,552                               3,284,380                                                           1,381,557,923
Validation           2,702        3,433,103                            570,741                                  395,646                                                               172,678,782
Test                    2,701        3,435,072                            536,838                                  429,527                                                               172,611,299
Total                 27,025      34,501,712                         5,651,131                               4,109,553                                                            1,726,848,004
description: Grant PID2020-116448GB-I00, funded by the Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación (ES)
DOI: 10.5281/zenodo.7445306
title: Infrared Salient Object Detection (ISOD)

description: It is a Thermal Infrared Image dataset that focuses on salient objects.
DOI: 10.5281/zenodo.7445307
title: Infrared Salient Object Detection (ISOD)

description: It is a Thermal Infrared Image dataset that focuses on salient objects.
DOI: 10.5281/zenodo.10008409
title: Deep-sea ecosystem exploration and 'health check': sampling strategy and methods applied during the iAtlantic_BR10_Petrobras cruise in the Santos Basin, Southwest Atlantic

description: Supplementary material for the article "Deep-sea ecosystem exploration and 'health check': sampling strategy and methods applied during the iAtlantic_BR10_Petrobras cruise in the Santos Basin, Southwest Atlantic".
DOI: 10.5281/zenodo.10008408
title: Deep-sea ecosystem exploration and 'health check': sampling strategy and methods applied during the iAtlantic_BR10_Petrobras cruise in the Santos Basin, Southwest Atlantic

description: Supplementary material for the article "Deep-sea ecosystem exploration and 'health check': sampling strategy and methods applied during the iAtlantic_BR10_Petrobras cruise in the Santos Basin, Southwest Atlantic".
DOI: 10.5517/ccq7ckv
title: CCDC 662487: Experimental Crystal Structure Determination

description: Related Article: G.Meyer, M.Sehabi, I.Pantenburg|2009|Des. and Construct. of Coord. Poly.|||
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/ccq7c4f
title: CCDC 662474: Experimental Crystal Structure Determination

description: Related Article: G.Meyer, M.Sehabi, I.Pantenburg|2009|Des. and Construct. of Coord. Poly.|||
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/ccq7c5g
title: CCDC 662475: Experimental Crystal Structure Determination

description: Related Article: G.Meyer, M.Sehabi, I.Pantenburg|2009|Des. and Construct. of Coord. Poly.|||
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/ccq7c6h
title: CCDC 662476: Experimental Crystal Structure Determination

description: Related Article: G.Meyer, M.Sehabi, I.Pantenburg|2009|Des. and Construct. of Coord. Poly.|||
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/ccq7c7j
title: CCDC 662477: Experimental Crystal Structure Determination

description: Related Article: G.Meyer, M.Sehabi, I.Pantenburg|2009|Des. and Construct. of Coord. Poly.|||
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/ccq7c8k
title: CCDC 662478: Experimental Crystal Structure Determination

description: Related Article: G.Meyer, M.Sehabi, I.Pantenburg|2009|Des. and Construct. of Coord. Poly.|||
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/ccq7c9l
title: CCDC 662479: Experimental Crystal Structure Determination

description: Related Article: G.Meyer, M.Sehabi, I.Pantenburg|2009|Des. and Construct. of Coord. Poly.|||
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/ccq7cbm
title: CCDC 662480: Experimental Crystal Structure Determination

description: Related Article: G.Meyer, M.Sehabi, I.Pantenburg|2009|Des. and Construct. of Coord. Poly.|||
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/ccq7ccn
title: CCDC 662481: Experimental Crystal Structure Determination

description: Related Article: G.Meyer, M.Sehabi, I.Pantenburg|2009|Des. and Construct. of Coord. Poly.|||
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.