cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7618624
title: Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images with Low Contrast Sclerocho-roidal Junction Using Deep Learning

description: This project aims to calculate Choroid Vascularity Index (CVI) in optical coherenece tomography (OCT) images, using loss modified U-Net. The method is detailed in "Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images low contrast sclerochoroidal junction Using Deep Learning". The dataset consists of Enhanced-depth imaging optical coherence tomography images from two patient groups. • First dataset is including Raster OCT B-scans from patients with diabetic retinopathy. • Second dataset is including EDI-HD OCT B-scans from patients with pachychoroid spectrum.
description: Please site the following paper if you used this dataset: Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images low contrast sclerochoroidal junction Using Deep Learning
DOI: 10.5281/zenodo.7618623
title: Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images with Low Contrast Sclerocho-roidal Junction Using Deep Learning

description: This project aims to calculate Choroid Vascularity Index (CVI) in optical coherenece tomography (OCT) images, using loss modified U-Net. The method is detailed in "Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images low contrast sclerochoroidal junction Using Deep Learning". The dataset consists of Enhanced-depth imaging optical coherence tomography images from two patient groups. • First dataset is including Raster OCT B-scans from patients with diabetic retinopathy. • Second dataset is including EDI-HD OCT B-scans from patients with pachychoroid spectrum.
description: Please site the following paper if you used this dataset: Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images low contrast sclerochoroidal junction Using Deep Learning
DOI: 10.5281/zenodo.7618628
title: cacatua_sanguinea_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7618627
title: cacatua_sanguinea_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.20457252
title: Sheep Congestive Hepatopathy Publication Data

description: Here, we report on a titratable, sheep pulmonary artery banding model and its potential for studying congestive hepatopathy. Longitudinal datasets from sheep subjects are provided, including right ventricular pressure, mixed venous saturation, liver enzymes, bile acids, and pulmonary artery cuff pressure
DOI: 10.6084/m9.figshare.20457252.v1
title: Sheep Congestive Hepatopathy Publication Data

description: Here, we report on a titratable, sheep pulmonary artery banding model and its potential for studying congestive hepatopathy. Longitudinal datasets from sheep subjects are provided, including right ventricular pressure, mixed venous saturation, liver enzymes, bile acids, and pulmonary artery cuff pressure
DOI: 10.5281/zenodo.7618677
title: cacatua_tenuirostris_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7618676
title: cacatua_tenuirostris_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.15139/s3/bdqg9o
title: A dataset describing well water metal/metalloid contamination of private wells in North Carolina, 1998-2019

description: Well water tests from October 19, 1998 to May 20, 2019 conducted by the NC Department of Health and Human Services (NC DHHS) State Laboratory for Public Health were compiled. These data underwent quality assessment and control protocols, and were geocoded resulting in a dataset of n=117,960 well water test reports, spanning all 100 counties and 89% of census tracts. County-level and census tract-level descriptive statistics and number (and percentage) of exceedances of federal and state standards were calculated for 28 different metals/metalloids. The included metals/metalloids are: aluminum, antimony, arsenic, barium, beryllium, boron, cadmium, calcium, chromium, cobalt, copper, hexavalent chromium, iron, lead, magnesium, manganese, mercury, molybdenum, nickel, potassium, selenium, silver, sodium, strontium, thallium, uranium, vanadium, zinc. A total of three datasets are presented herein: Dataset #1: County-level distributions of the included 28 metals/metalloids as well as nitrites and nitrates derived from Dataset #1; Dataset #2: Census tract-level distributions of the included 28 metals/metalloids as well as nitrites and nitrates derived from Dataset #1; Dataset #3: Relevant standards and screening levels for metals/metalloids in NC groundwater as of July 2021. Each dataset is accompanied with a detailed codebook.
DOI: 10.5281/zenodo.7433286
title: PixelCropRobot dataset: images of vegetables crops in different phenological stages taken in greenhouses

description: <em>Dataset created under the PixelCropRobot project, developed by FCUP, INESC TEC and FEUP.</em> <strong>Dataset folder:</strong> This folder contains the images of each species in two formats (3456 × 4608 pixels and 864 × 1152 pixels), the annotations of the 864 × 1152 px. images, in Pascal VOC (.xml) and YOLO (.txt) formats and also a set of Python scripts useful for managing the dataset. The aim was to capture images of eight crops selected taking into account the length of the crop cycle (annual), the intensity of agricultural practices (mainly weed removal) and the low impact of pests and diseases. The images were captured using a smartphone (Huawei Mate 10 Lite), with 16 megapixels (MP) resolution (3456 × 4608 px.), in Professional mode (no flash, continuous autofocus, automatic ISO and shutter speed). Image collection took place at different hours of the day, with variable lighting conditions. The images are divided as follows (in parenthesis are the classes): Arugula - 312 (coty, minus9, plus9) Carrot - 533 (coty, smallleaves, carrot) Coriander - 321 (coty, smallleaves, coriander) Lettuce - 1426 (coty, minus9, plus9, ready) Radish - 494 (coty, smallleaves, bigleaves, root) Spinach - 270 (spinach, big) Swiss chard - 454 (coty, chard) Turnip - 313 (coty, smallleaves, turnip) To standardise the dataset, each image was renamed according to the corresponding EPPO (European and Mediterranean Plant Protection Organization) code and the date of creation of that image. The size of each image was also reduced four times (to 864 × 1152 pixels) to facilitate processing. For example, an image of lettuce captured on June 22 presents the name as follows: LACSA_Jun_22_x_864_1152.jpg.
description: {"references": ["Rodrigues, L.; Magalh\u00e3es, S.A.; da Silva, D.Q.; dos Santos, F.N.; Cunha, M. Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops. Agronomy 2023, 13, 463. https://doi.org/10.3390/agronomy13020463"]}
DOI: 10.5281/zenodo.5347368
title: PixelCropRobot dataset: images of vegetables crops in different phenological stages taken in greenhouses

description: <em>Dataset created under the PixelCropRobot project, developed by FCUP, INESC TEC and FEUP.</em> <strong>Dataset folder:</strong> This folder contains the images of each species in two formats (3456 × 4608 pixels and 864 × 1152 pixels), the annotations of the 864 × 1152 px. images, in Pascal VOC (.xml) and YOLO (.txt) formats and also a set of Python scripts useful for managing the dataset. The aim was to capture images of eight crops selected taking into account the length of the crop cycle (annual), the intensity of agricultural practices (mainly weed removal) and the low impact of pests and diseases. The images were captured using a smartphone (Huawei Mate 10 Lite), with 16 megapixels (MP) resolution (3456 × 4608 px.), in Professional mode (no flash, continuous autofocus, automatic ISO and shutter speed). Image collection took place at different hours of the day, with variable lighting conditions. The images are divided as follows (in parenthesis are the classes): Arugula - 312 (coty, minus9, plus9) Carrot - 533 (coty, smallleaves, carrot) Coriander - 321 (coty, smallleaves, coriander) Lettuce - 1426 (coty, minus9, plus9, ready) Radish - 494 (coty, smallleaves, bigleaves, root) Spinach - 270 (spinach, big) Swiss chard - 454 (coty, chard) Turnip - 313 (coty, smallleaves, turnip) To standardise the dataset, each image was renamed according to the corresponding EPPO (European and Mediterranean Plant Protection Organization) code and the date of creation of that image. The size of each image was also reduced four times (to 864 × 1152 pixels) to facilitate processing. For example, an image of lettuce captured on June 22 presents the name as follows: LACSA_Jun_22_x_864_1152.jpg.
description: {"references": ["Rodrigues, L.; Magalh\u00e3es, S.A.; da Silva, D.Q.; dos Santos, F.N.; Cunha, M. Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops. Agronomy 2023, 13, 463. https://doi.org/10.3390/agronomy13020463"]}
DOI: 10.5281/zenodo.7573372
title: Raw data supporting: Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution via Solvent Tuning

description: Raw experimental data supporting the article "Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution <em>via</em> Solvent Tuning"
DOI: 10.5281/zenodo.7573371
title: Raw data supporting: Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution via Solvent Tuning

description: Raw experimental data supporting the article "Augmenting the Performance of Hydrogenase for Aerobic Photocatalytic Hydrogen Evolution <em>via</em> Solvent Tuning"
DOI: 10.6084/m9.figshare.3761562.v2484
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: 10.5517/ccdc.csd.cc26gyf2
title: CCDC 2040154: Experimental Crystal Structure Determination

description: Related Article: D. Dominskiy, D. Paraschuk, T. Swetha, Surya Prakash Singh, V. Tafeenko|2022|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.cc26h989
title: CCDC 2040490: Experimental Crystal Structure Determination

description: Related Article: Mohammad Chaudhry, Mark MacLachlan|2022|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.cc26h99b
title: CCDC 2040491: Experimental Crystal Structure Determination

description: Related Article: Mohammad Chaudhry, Mark MacLachlan|2022|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.cc26gmdq
title: CCDC 2039843: Experimental Crystal Structure Determination

description: Related Article: Markus Stroebele, H.-Jürgen Meyer|2022|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.cc26vg0k
title: CCDC 2051208: Experimental Crystal Structure Determination

description: Related Article: Paula Kallenbach, Markus Stroebele, H.-Jürgen Meyer|2022|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.cc26z0t1
title: CCDC 2054643: Experimental Crystal Structure Determination

description: Related Article: Yumiko Suzuki, Noriyuki Suzuki|2022|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.cc26z31c
title: CCDC 2054712: Experimental Crystal Structure Determination

description: Related Article: Jorna Kalim, Ewa Pietrasiak, Antonio Togni|2022|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.cc270xmt
title: CCDC 2056466: Experimental Crystal Structure Determination

description: Related Article: Alexander Reckziegel, Manjinder Kour, Beatrice Batistella, Stefan Mebs, Katrin Beuthert, Robert Berger, Gunnar Werncke|2022|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.cc27303h
title: CCDC 2058465: Experimental Crystal Structure Determination

description: Related Article: Daofei Lv, Junhao Xu|2022|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.cc273qvy
title: CCDC 2059170: Experimental Crystal Structure Determination

description: Related Article: Onur Sahin, John D. Wallis|2022|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.cc274cf6
title: CCDC 2059777: Experimental Crystal Structure Determination

description: Related Article: Hua Chen|2022|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.cc2750gx
title: CCDC 2060398: Experimental Crystal Structure Determination

description: Related Article: Jiaping Wu, Pengpeng Sun, Yuwen Hong, Haitao Yang, Meihua Xie, Jitan Zhang|2022|Chem.Commun.|58|13620|doi:10.1039/D2CC05129J
description: Related Article: Jiaping Wu, Peng-Peng Sun, Yuwen Hong, Haitao Yang, Meihua Xie, Jitan Zhang|2022|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.cc2750jz
title: CCDC 2060400: Experimental Crystal Structure Determination

description: Related Article: Jiaping Wu, Pengpeng Sun, Yuwen Hong, Haitao Yang, Meihua Xie, Jitan Zhang|2022|Chem.Commun.|58|13620|doi:10.1039/D2CC05129J
description: Related Article: Jiaping Wu, Peng-Peng Sun, Yuwen Hong, Haitao Yang, Meihua Xie, Jitan Zhang|2022|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.cc27693w
title: CCDC 2061627: Experimental Crystal Structure Determination

description: Related Article: Catha-Darine Brand, Markus Stroebele, Hans-Juergen Meyer|2022|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.cc2769d5
title: CCDC 2061636: Experimental Crystal Structure Determination

description: Related Article: Yu Meng|2022|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.cc276v0b
title: CCDC 2062151: Experimental Crystal Structure Determination

description: Related Article: Xinyu Tian, Muge Shele, Agula Bao, Yong-Sheng Bao, Menghe Baiyin|2022|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.cc276v1c
title: CCDC 2062152: Experimental Crystal Structure Determination

description: Related Article: Xinyu Tian, Muge Shele, Agula Bao, Yong-Sheng Bao, Menghe Baiyin|2022|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.cc276v2d
title: CCDC 2062153: Experimental Crystal Structure Determination

description: Related Article: Xinyu Tian, Muge Shele, Agula Bao, Yong-Sheng Bao, Menghe Baiyin|2022|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.cc26gvp7
title: CCDC 2040069: Experimental Crystal Structure Determination

description: Related Article: Xinyu Tian, Gele Teri, Muge Shele, E. Namila, Liming Qi, Min Liu, Menghe Baiyin|2022|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.cc276v3f
title: CCDC 2062154: Experimental Crystal Structure Determination

description: Related Article: Xinyu Tian, Gele Teri, Muge Shele, E. Namila, Liming Qi, Min Liu, Menghe Baiyin|2022|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.cc2dd9w0
title: CCDC 2216372: Experimental Crystal Structure Determination

description: Related Article: Ankur, Deepti Sharma, Alex P. Andrews, Ajay Venugopal|2023|Dalton Trans.|52|1533|doi:10.1039/D3DT00018D
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.cc2dd9x1
title: CCDC 2216373: Experimental Crystal Structure Determination

description: Related Article: Ankur, Deepti Sharma, Alex P. Andrews, Ajay Venugopal|2023|Dalton Trans.|52|1533|doi:10.1039/D3DT00018D
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.cc2dd9y2
title: CCDC 2216374: Experimental Crystal Structure Determination

description: Related Article: Ankur, Deepti Sharma, Alex P. Andrews, Ajay Venugopal|2023|Dalton Trans.|52|1533|doi:10.1039/D3DT00018D
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.