cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14605613.v1
title: Table_S1_revision.xlsx from Repurposing of synaptonemal complex proteins for kinetochores in kinetoplastida

description: Chromosome segregation in eukaryotes is driven by the kinetochore, a macromolecular complex that connects centromeric DNA to microtubules of the spindle apparatus. Kinetochores in well-studied model eukaryotes consist of a core set of proteins that are broadly conserved among distant eukaryotic phyla. By contrast, unicellular flagellates of the class Kinetoplastida have a unique set of 36 kinetochore components. The evolutionary origin and the history of these kinetochores remain unknown. Here, we report evidence of homology between axial element components of the synaptonemal complex and three kinetoplastid kinetochore proteins KKT16-18. The synaptonemal complex is a zipper-like structure that assembles between homologous chromosomes during meiosis to promote recombination. By using sensitive homology detection protocols, we identify divergent orthologues of KKT16-18 in most eukaryotic supergroups, including experimentally established chromosomal axis components, such as Red1 and Rec10 in budding and fission yeast, ASY3-4 in plants and SYCP2-3 in vertebrates. Furthermore, we found 12 recurrent duplications within this ancient eukaryotic SYCP<sup>2–3</sup> gene family, providing opportunities for new functional complexes to arise, including KKT16-18 in the kinetoplastid parasite <i>Trypanosoma brucei</i>. We propose the kinetoplastid kinetochore system evolved by repurposing meiotic components of the chromosome synapsis and homologous recombination machinery that were already present in early eukaryotes.
DOI: 10.6084/m9.figshare.14605610.v1
title: File_S3.zip from Repurposing of synaptonemal complex proteins for kinetochores in kinetoplastida

description: Chromosome segregation in eukaryotes is driven by the kinetochore, a macromolecular complex that connects centromeric DNA to microtubules of the spindle apparatus. Kinetochores in well-studied model eukaryotes consist of a core set of proteins that are broadly conserved among distant eukaryotic phyla. By contrast, unicellular flagellates of the class Kinetoplastida have a unique set of 36 kinetochore components. The evolutionary origin and the history of these kinetochores remain unknown. Here, we report evidence of homology between axial element components of the synaptonemal complex and three kinetoplastid kinetochore proteins KKT16-18. The synaptonemal complex is a zipper-like structure that assembles between homologous chromosomes during meiosis to promote recombination. By using sensitive homology detection protocols, we identify divergent orthologues of KKT16-18 in most eukaryotic supergroups, including experimentally established chromosomal axis components, such as Red1 and Rec10 in budding and fission yeast, ASY3-4 in plants and SYCP2-3 in vertebrates. Furthermore, we found 12 recurrent duplications within this ancient eukaryotic SYCP<sup>2–3</sup> gene family, providing opportunities for new functional complexes to arise, including KKT16-18 in the kinetoplastid parasite <i>Trypanosoma brucei</i>. We propose the kinetoplastid kinetochore system evolved by repurposing meiotic components of the chromosome synapsis and homologous recombination machinery that were already present in early eukaryotes.
DOI: 10.34740/kaggle/dsv/2241218
title: Income of Adults
DOI: 10.5281/zenodo.4767858
title: Testing Images For SimCenter AI Models

description: Testing Images
DOI: 10.5281/zenodo.3939630
title: IODP Expedition 341, Hole U1420A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 341: Southern Alaska Margin Tectonics
DOI: 10.5281/zenodo.3939629
title: IODP Expedition 341, Hole U1420A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 341: Southern Alaska Margin Tectonics
DOI: 10.5281/zenodo.3939632
title: IODP Expedition 341, Hole U1421A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 341: Southern Alaska Margin Tectonics
DOI: 10.5281/zenodo.3939631
title: IODP Expedition 341, Hole U1421A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 341: Southern Alaska Margin Tectonics
DOI: 10.5281/zenodo.4457647
title: Panoramic radiography database

description: This database contains 598 panoramic radiographs, whose dimensions are 2041 x 1024 and are in a JPEG format. <br> These images were acquired with Owandy I-max Touch panoramic radiography equipment belonging to the <em>Departamento de Radiología de la Facultad de Odontología, Universidad Nacional de Asunción, </em>located in Asuncion, Paraguay<em>.</em> <em>If you use the dataset, please cite the paper:</em> Román, J.C.M.; Fretes, V.R.; Adorno, C.G.; Silva, R.G.; Noguera, J.L.V.; Legal-Ayala, H.; Mello-Román, J.D.; Torres, R.D.E.; Facon, J. <strong>Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology</strong>. <em>Sensors</em> <strong>2021</strong>, <em>21</em>, 3110. https://doi.org/10.3390/s21093110
DOI: 10.5281/zenodo.3939616
title: IODP Expedition 340, Hole U1395B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 340: Lesser Antilles Volcanism and Landslides
DOI: 10.5281/zenodo.3939615
title: IODP Expedition 340, Hole U1395B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 340: Lesser Antilles Volcanism and Landslides
DOI: 10.6084/m9.figshare.14605650
title: Field Data 2018-2020

description: Field data for Dutch Slough Revegetation Study. Monitoring was conducted from late 2018 to November 2020. Metrics monitored included species abundance and richness in a 1x1 m area.
DOI: 10.6084/m9.figshare.14605650.v1
title: Field Data 2018-2020

description: Field data for Dutch Slough Revegetation Study. Monitoring was conducted from late 2018 to November 2020. Metrics monitored included species abundance and richness in a 1x1 m area.
DOI: 10.5517/ccdc.csd.cc26k486
title: CCDC 2042257: Experimental Crystal Structure Determination

description: Related Article: Thomais Tziotzi, Marco Coletta, Mark Gray, Cameron Cambell, Scott Dalgarno, Giulia Lorusso, Marco Evangelisti, Euan Brechin, Constantinos Milios|2021|Inorg.Chem.Front.|8|1804|doi:10.1039/D0QI01495H
DOI: 10.5517/ccdc.csd.cc26k497
title: CCDC 2042258: Experimental Crystal Structure Determination

description: Related Article: Thomais Tziotzi, Marco Coletta, Mark Gray, Cameron Cambell, Scott Dalgarno, Giulia Lorusso, Marco Evangelisti, Euan Brechin, Constantinos Milios|2021|Inorg.Chem.Front.|8|1804|doi:10.1039/D0QI01495H
DOI: 10.5281/zenodo.4767156
title: Climate, vegetation and fire history during the past 18,000 years, recorded in sediments of the Sanetti Plateau, Bale Mountains (Ethiopia)

description: XRF, biogeochemical and pollen results of B4 depression sediments, Sanetti Plateau (Bale Mountains, Ethiopia)
DOI: 10.5281/zenodo.4767155
title: Climate, vegetation and fire history during the past 18,000 years, recorded in sediments of the Sanetti Plateau, Bale Mountains (Ethiopia)

description: XRF, biogeochemical and pollen results of B4 depression sediments, Sanetti Plateau (Bale Mountains, Ethiopia)
DOI: 10.5281/zenodo.4766485
title: DB Tiotropium adolescent

description: DB Tiotropium adolescent
DOI: 10.5281/zenodo.4766484
title: DB Tiotropium adolescent

description: DB Tiotropium adolescent
DOI: 10.5281/zenodo.4766420
title: Supporting data for Chromosome-level genome assembly of the bean bug Riptortus pedestris

description: It is the supporting data for Chromosome-level genome assembly of the bean bug Riptortus pedestris
DOI: 10.5281/zenodo.4766419
title: Supporting data for Chromosome-level genome assembly of the bean bug Riptortus pedestris

description: It is the supporting data for Chromosome-level genome assembly of the bean bug Riptortus pedestris
DOI: 10.5281/zenodo.4765627
title: Inventory of the analyzed processes

description: Supplementary material<br> to the article:<br> Evaluation of Environmental Impacts from Waste Lubrication Oil Management: A Case Study
DOI: 10.5281/zenodo.4670688
title: NICER PSR J0740+6620 Illinois-Maryland MCMC Samples

description: Posterior samples from the Illinois-Maryland analysis of NICER and XMM-Newton data for PSR J0030+0451. Files ending in "RM" contain only equatorial circumferential radius and gravitational mass posterior samples. Files ending in "full" contain the full set of posterior samples from each analysis. Files starting with "NICER-only" contain samples from the analysis of NICER data alone.<br> Files starting with "NICER+XMM" contain samples from the joint NICER + XMM analysis, assuming no relative calibration offset between the instruments.<br> Files starting with "NICER+XMM-relative" contain samples from the joint NICER + XMM analysis, allowing for up to a +-10% offset in the relative calibration between the instruments.
DOI: 10.5281/zenodo.4764644
title: Repository Sample

description: Repository Sample
DOI: 10.5281/zenodo.4764643
title: Repository Sample

description: Repository Sample
DOI: 10.5281/zenodo.4764498
title: The DRYVEXA data set

description: DRYVEXA data set measured in the Antarctic Dry Valleys from December 2012 to January 2013 Observations of temperature, water vapor and CO2 fluxes measured with sonic anemometers and open-path gas analyzers, and simulated Relaxed Eddy Accumulation concentrations for various hyperbolic and linear deadband sizes.
DOI: 10.5281/zenodo.4764492
title: The ExpMM data set

description: ExpMM data set measured at the Falkenberg observatory site in Lindenberg, Germany during summer 2015 Observations of temperature, water vapor and CO2 fluxes measured with sonic anemometers and open-path gas analyzers, and simulated Relaxed Eddy Accumulation concentrations for various hyperbolic and linear deadband sizes.
DOI: 10.5281/zenodo.4647952
title: Dataset from fundus images for the study of diabetic retinopathy

description: This database containing 757 color fundus images that were acquired at the Department of Ophthalmology of the Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, Paraguay. The acquisition of retinal images was done taking into account a clinical procedure. The acquisition of the retinographies was made through the Visucam 500 camera of the Zeiss brand. Expert ophthalmologists have classified the dataset. These data can help doctors and researchers in the detection of cases of Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR), in their different stages. The classification of fundus images have been done in 7 categories: 1. No DR signs (187 images), 2. Mild (or early) NPDR (4 images), 3. Moderate NPDR (80 images), 4. Severe NPDR (176 images), 5. Very Severe NPDR (108 images), 6. PDR (88 images) and 7. Advanced PDR (114 images). <em>If you use the dataset, please cite the paper:</em> V. E. Castillo Benítez, I. Castro Matto, J. C. Mello Román, J. L. Vázquez Noguera, M. García-Torres, J. Ayala, D. P. Pinto-Roa, P. E. Gardel-Sotomayor, J. Facon, and S. A. Grillo, <strong>Dataset from fundus images for the study of diabetic retinopathy</strong>, Data in Brief, vol. 36, p. 107068, Jun. 2021. doi: https://doi.org/10.1016/j.dib.2021.107068
DOI: 10.5281/zenodo.4766508
title: Dynamic World Test Tiles

description: From the Dynamic World dataset, DOI: <strong>PENDING DYNAMICWORLD DOI</strong> <strong>Description:</strong> These data comprise the Dynamic World estimated probabilities, Dynamic World Top-1 label, and expert consensus set of GeoTIFF test tiles used for validating Dynamic World and other LULC maps. A metadata CSV is included to enable cross-walking between these tiles and the Sentinel-2 L2A used to annotate the tile. The label_* images contain bands 'lulc' and 'label' corresponding to the annotated, and Top-1 predicted label respectively. The 'lulc' band is 1s-indexed, with 0 corresponding to "no markup." The probs_* images contain the estimated probabilities. <strong>The Dynamic World abstract:</strong> <em>We developed a new automated approach for globally consistent, high resolution, near real-time (NRT) land use land cover (LULC) mapping leveraging deep learning on 10m Sentinel-2 imagery. When compared to other global LULC datasets, our data exceeded the next best global product agreement with an expert consensus test set by 7.5%. We utilize a highly scalable cloud based system for generating LULC maps and provide an open, continuous feed of LULC in parallel with Sentinel-2 acquisitions. This NRT product accommodates a variety of user needs ranging from extremely up-to-date LULC data to annual global maps. Furthermore, the continuous nature of the product's outputs enables refinement, extension, and even redefinition of the LULC classification. In combination, these unique attributes enable unprecedented flexibility for a diverse community of users across a variety of disciplines.</em>
DOI: 10.5281/zenodo.4766450
title: Dynamic World Test Tiles

description: From the Dynamic World dataset, DOI: <strong>PENDING DYNAMICWORLD DOI</strong> <strong>Description:</strong> These data comprise the Dynamic World estimated probabilities, Dynamic World Top-1 label, and expert consensus set of GeoTIFF test tiles used for validating Dynamic World and other LULC maps. A metadata CSV is included to enable cross-walking between these tiles and the Sentinel-2 L2A used to annotate the tile. The label_* images contain bands 'lulc' and 'label' corresponding to the annotated, and Top-1 predicted label respectively. The 'lulc' band is 1s-indexed, with 0 corresponding to "no markup." The probs_* images contain the estimated probabilities. <strong>The Dynamic World abstract:</strong> <em>We developed a new automated approach for globally consistent, high resolution, near real-time (NRT) land use land cover (LULC) mapping leveraging deep learning on 10m Sentinel-2 imagery. When compared to other global LULC datasets, our data exceeded the next best global product agreement with an expert consensus test set by 7.5%. We utilize a highly scalable cloud based system for generating LULC maps and provide an open, continuous feed of LULC in parallel with Sentinel-2 acquisitions. This NRT product accommodates a variety of user needs ranging from extremely up-to-date LULC data to annual global maps. Furthermore, the continuous nature of the product's outputs enables refinement, extension, and even redefinition of the LULC classification. In combination, these unique attributes enable unprecedented flexibility for a diverse community of users across a variety of disciplines.</em>
DOI: 10.5281/zenodo.4767650
title: A dataset of 577 marginal and peripheral forest tree populations in Europe

description: This dataset is the result of a survey conducted during the 2012-2016 COST Action FP1202 (MaP-FGR): Strengthening conservation: a key issue for adaptation of marginal/peripheral populations of forest trees to climate change in Europe. It contains the name, location and other relevant information of 577 forests that are considered as marginal of peripheral by forest experts. Information (as specified in the read-me file) includes among others: Genus, Species, Country, Name of marginal population, Latitude, Longitude, Elevation, Type of marginality, Silvicultural system, Protection status, Threat status, and genetic and phenotypic trait data availability This dataset can be used to, e.g., test effects of marginality on biological and genetic traits, compare expert knowledge with statistics-based indicators, raise awareness of the importance of marginal populations for conservation and sustainable use.
description: Abies alba, Abies marocana, Acer monspessulanum, Acer obtusifolium, Acer opalus, Alnus cordata, Alnus glutinosa, Arbutus andrachne, Arbutus unedo, Betula pendula, Carpinus betulus, Castanea sativa, Cedrus brevifolia, Cedrus atlantica, Cretagus azarolus, Cupressus atlantica, Elaeagnus, angustifolia, Fagus sylvatica, Fraxinus angustifolia, Fraxinus excelsior, Fraxinus ornus, Fraxinus syriaca, Juglans regia, Juniperus deltoides, Juniperus drupacea, Juniperus phoenicea, Juniperus turbinata, Larix decidua, Picea abies, Pinus brutia, Pinus cembra, Pinus halepensis, Pinus heldreichii, Pinus mugo, Pinus nigra, Pinus peuce, Pinus pinaster, Pinus pinea, Pinus sylvestris, Platanus orientalis, Populus nigra, Populus tremula, Prunus avium, Quercus boisierri, Quercus calliprinos, Quercus cerris, Quercus frainetto, Quercus ilex, Quercus ithaburensis, Quercus look, Quercus petraea, Quercus pubescens, Quercus pyrenaica, Quecus robur, Quercus trojana, Salix alba, Salix phylicifolia, Sorbus torminalis, Ulmus glabra, Ulmus laevis, Ulmus pumila, Ulmus canecens
DOI: 10.5281/zenodo.4767808
title: Monk Cuper Set (MCS) for benchmarking historical document image binarization

description: ****************************<br> Monk Cuper Set (MCS): used for document binarization and enhancement Images are collected on the book Cuper on Monk system.<br> Monkweb.nl Ground-Truth are labelled by Zhenwei Shi. If you use this data set, please cite the paper: DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning.<br> Pattern Recognition. https://www.sciencedirect.com/science/article/abs/pii/S0031320319300330 File names: Cuper-*.png : the original input image<br> GT-Cuper-*.png : the ground-truth labeled by Zhenwei Shi<br> ________________________________________________________________________ The document images were collected by Jetze Touber of the University of Gent in his study: Jetze Touber (2016)<br> De actualiteit van de klassieken bij Gisbert Cuper Weegblad :<br> Nieuwsblad van de Vereniging De Waag. 8(1). p.6-7, http://hdl.handle.net/1854/LU-8511610 This 17th century Cuper-Braun collection in the Monk system, concerns a series of European scholarly letters by different writers.<br> They write in a multitude of languages, switching from Latin to French, interjecting the text with phrases in Greek and Hebrew. Jetze Touber collected the images using his 2014/2015 Apple iPhone,scholarly letters from Johannes Braunius and Gisbert Cuper in the archives. The scans contain chromatic aberration, focus variation (on top of the traditional problems with historical manuscripts). Contains: 31 .png images and their corresponding ground truth ('GT') binarized versions.
DOI: 10.25739/4t1v-ab64
title: A drone-based high-throughput phenotyping approach to assess time-series nitrogen responses and associated genetic components in maize

description: Original UAV images and clipped plot-level images of a maize field experiment.
DOI: 10.5281/zenodo.3939653
title: IODP Expedition 349, Hole U1433B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 349: South China Sea Tectonics
DOI: 10.5281/zenodo.3939652
title: IODP Expedition 349, Hole U1433B - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 349: South China Sea Tectonics
DOI: 10.5281/zenodo.3941161
title: IODP Expedition 372, Hole U1517A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372: Creeping Gas Hydrate Slides and Hikurangi LWD
DOI: 10.5281/zenodo.3941160
title: IODP Expedition 372, Hole U1517A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 372: Creeping Gas Hydrate Slides and Hikurangi LWD
DOI: 10.34740/kaggle/dsv/2241364
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.14604702
title: Data- Metacognitive unawareness on the feedback benefit until the eventual test has completed.xlsx

description: Raw data for experiment 1 & 2
DOI: 10.6084/m9.figshare.14604702.v2
title: Data- Metacognitive unawareness on the feedback benefit until the eventual test has completed.xlsx

description: Raw data for experiment 1 & 2
DOI: 10.6084/m9.figshare.14604702.v1
title: Data- Metacognitive unawareness on the feedbck benefit until the eventual test has completed.xlsx

description: Raw data for experiment 1 & 2