cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8132381
title: OCR model for lexical lists in Chinese-IPA Glossing, Ground Truth

description: The training was done on 311 pages and validation on 34 pages of ten lexical lists of Burmish languages on Transkribus with the default PyLaia model: (1) Achang<br> • adapted by Hill & Cooper (2020) from Dai & Cui (1985)<br> (2) Bola<br> • adapted by Hill & Cooper (2020) from He & Chen (2004)<br> (3) Bola<br> • adapted by Hill & Cooper (2020) from Dai et al. (2007)<br> (4) Chashan<br> • adapted by Hill & Cooper (2020) from Dai et al. (2010)<br> (5) Langsu<br> • adapted by Hill & Cooper (2020) from He & Chen (2004)<br> (6) Langsu<br> • adapted by Hill & Cooper (2020) from Dai (2005)<br> (7) Leqi<br> • adapted by Hill & Cooper (2020) from He & Chen (2004)<br> (8) Leqi<br> • adapted by Hill & Cooper (2020) from Dai & Li (2006)<br> (9) Leqi<br> • adapted by Hill & Cooper (2020) from Dai & Jie (2007)<br> (10) Zaiwa<br> • adapted by Hill & Cooper (2020) from Xu & Xu (1984)
DOI: 10.5281/zenodo.8325375
title: OCR model for lexical lists in Chinese-IPA Glossing, Ground Truth

description: The ground truth dataset for the OCR model consisted of jpg, pdf, and xml files. The training process was conducted using Transkribus, employing a PyLaia model constructed using ground truth data derived from lexical lists encompassing ten literary works that document Burmish languages. These languages include Achang, Bola, Chashan, Langsu, Leqi, and Zaiwa. The lexical lists utilized for the training phase were predominantly composed in both Chinese characters and International Phonetic Alphabet (IPA) symbols. The training was done on 311 pages and validation on 34 pages of ten lexical lists of Burmish languages on Transkribus with the default PyLaia model: (1) Achang<br> • adapted by Hill & Cooper (2020) from Dai & Cui (1985)<br> (2) Bola<br> • adapted by Hill & Cooper (2020) from He & Chen (2004)<br> (3) Bola<br> • adapted by Hill & Cooper (2020) from Dai et al. (2007)<br> (4) Chashan<br> • adapted by Hill & Cooper (2020) from Dai et al. (2010)<br> (5) Langsu<br> • adapted by Hill & Cooper (2020) from He & Chen (2004)<br> (6) Langsu<br> • adapted by Hill & Cooper (2020) from Dai (2005)<br> (7) Leqi<br> • adapted by Hill & Cooper (2020) from He & Chen (2004)<br> (8) Leqi<br> • adapted by Hill & Cooper (2020) from Dai & Li (2006)<br> (9) Leqi<br> • adapted by Hill & Cooper (2020) from Dai & Jie (2007)<br> (10) Zaiwa<br> • adapted by Hill & Cooper (2020) from Xu & Xu (1984) The material utilized for assessing the performance of the trained models is enclosed within the dataset, comprising a lexical list of the Tujia language as documented by Tian in 1986. The primary objective of the trained model was the recognition of printed lexical lists employing Chinese-IPA glossing.
DOI: 10.6084/m9.figshare.24183885
title: 20230923_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24183885.v1
title: 20230923_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.25625/fnxcam/d1bwwl
title: SFIexp_02_100.mp4

description: Short Fracture Infiltration Experiment; Inflow rate = 1.00 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/d96is6
title: TimeLapse_short_setup.7z.tmp

description: :unav
DOI: 10.25625/fnxcam/f7hbfj
title: SFIexp_06_500.mp4

description: Short Fracture Infiltration Experiment; Inflow rate = 5.00 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/kqsk4j
title: SFIexp_05_400.mp4

description: Short Fracture Infiltration Experiment; Inflow rate = 4.00 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/og44f8
title: SFIexp_03_200.mp4

description: Short Fracture Infiltration Experiment; Inflow rate = 2.00 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/xmixot
title: SFIexp_01_050.mp4

description: Short Fracture Infiltration Experiment; Inflow rate = 0.50 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/yicanq
title: SFIexp_04_300.mp4

description: Short Fracture Infiltration Experiment; Inflow rate = 3.00 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/9tqdzx
title: SFIexp_01_050.tab

description: Infiltration Depth Over Time; Short Fracture Infiltration Experiment; Inflow rate = 0.50 [ml/min]
DOI: 10.25625/fnxcam/bmysuw
title: SFIexp_02_100.tab

description: Infiltration Depth Over Time; Short Fracture Infiltration Experiment; Inflow rate = 1.00 [ml/min]
DOI: 10.25625/fnxcam/ggucdk
title: SFIexp_04_300.tab

description: Infiltration Depth Over Time; Short Fracture Infiltration Experiment; Inflow rate = 3.00 [ml/min]
DOI: 10.25625/fnxcam/sbvr9a
title: SFIexp_05_400.tab

description: Infiltration Depth Over Time; Short Fracture Infiltration Experiment; Inflow rate = 4.00 [ml/min]
DOI: 10.25625/fnxcam/yzpqi5
title: SFIexp_06_500.tab

description: Infiltration Depth Over Time; Short Fracture Infiltration Experiment; Inflow rate = 5.00 [ml/min]
DOI: 10.25625/fnxcam/3qihgy
title: LFIexp_09_200.tab

description: Infiltration Depth Over Time; Long Fracture Infiltration Experiment; Inflow rate = 2.00 [ml/min]
DOI: 10.25625/fnxcam/4w1dbw
title: LFIexp_08_050.tab

description: Infiltration Depth Over Time; Long Fracture Infiltration Experiment; Inflow rate = 0.50 [ml/min]
DOI: 10.25625/fnxcam/c49ip2
title: LFIexp_07_500.tab

description: Infiltration Depth Over Time; Long Fracture Infiltration Experiment; Inflow rate = 5.00 [ml/min]
DOI: 10.25625/fnxcam/dyvwr9
title: LFIexp_10_025.tab

description: Infiltration Depth Over Time; Long Fracture Infiltration Experiment; Inflow rate = 0.25 [ml/min]
DOI: 10.25625/fnxcam/lbfjaj
title: LFIexp_14_100.tab

description: Infiltration Depth Over Time; Long Fracture Infiltration Experiment; Inflow rate = 1.00 [ml/min]
DOI: 10.25625/fnxcam/ydmhr8
title: SFIexp_03_200.tab

description: Infiltration Depth Over Time; Short Fracture Infiltration Experiment; Inflow rate = 2.00 [ml/min]
DOI: 10.25625/fnxcam/4llx74
title: LFIexp_12_400.tab

description: Infiltration Depth Over Time; Long Fracture Infiltration Experiment; Inflow rate = 4.00 [ml/min]
DOI: 10.25625/fnxcam/81lcas
title: LFIexp_13_035.tab

description: Infiltration Depth Over Time; Long Fracture Infiltration Experiment; Inflow rate = 0.35 [ml/min]
DOI: 10.25625/fnxcam/4djvgq
title: LFIexp_08_050.mp4

description: Long Fracture Infiltration Experiment; Inflow rate = 0.50 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/brxv9v
title: LFIexp_12_400.mp4

description: Long Fracture Infiltration Experiment; Inflow rate = 4.00 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/itd125
title: LFIexp_07_500.mp4

description: Long Fracture Infiltration Experiment; Inflow rate = 5.00 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/kgxdal
title: LFIexp_11_300.mp4

description: Long Fracture Infiltration Experiment; Inflow rate = 3.00 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/ynwbng
title: LFIexp_10_025.mp4

description: Long Fracture Infiltration Experiment; Inflow rate = 0.25 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/yrwl7a
title: LFIexp_11_300.tab

description: Infiltration Depth Over Time; Long Fracture Infiltration Experiment; Inflow rate = 3.00 [ml/min]
DOI: 10.25625/fnxcam
title: Replication Data for WRR Manuscript Submission

description: Data
DOI: 10.25625/fnxcam/ctbem0
title: LFIexp_09_200.mp4

description: Long Fracture Infiltration Experiment; Inflow rate = 2.00 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/jcoitd
title: LFIexp_13_035.mp4

description: Long Fracture Infiltration Experiment; Inflow rate = 0.35 [ml/min]; Video Recording
DOI: 10.25625/fnxcam/zgk1as
title: LFIexp_14_100.mp4

description: Long Fracture Infiltration Experiment; Inflow rate = 1.00 [ml/min]; Video Recording
DOI: 10.25392/leicester.data.24182544
title: Census@Leicester Project

description: The Census@Leicester datasets include socio-demographic data from the 2001, 2011, and 2021 Leicester censuses to enable the exploration of recent historical trends. It also includes data from the 2021 census for both Nottingham and Coventry to enable comparisons with other cities. <br> This online resource that can be used for teaching and research purposes by staff and students and to create a legacy for the Census@Leicester Project.
DOI: 10.25392/leicester.data.24182544.v1
title: Census@Leicester Project

description: The Census@Leicester datasets include socio-demographic data from the 2001, 2011, and 2021 Leicester censuses to enable the exploration of recent historical trends. It also includes data from the 2021 census for both Nottingham and Coventry to enable comparisons with other cities. <br> This online resource that can be used for teaching and research purposes by staff and students and to create a legacy for the Census@Leicester Project.
DOI: 10.5281/zenodo.7404635
title: Precipitation reconstructions for Paris based on the observations by Louis Morin, 1665–1713 CE

description: <pre>This dataset includes Louis Morin's daily rainfall records from 1665--1713. More details can be found in the file.</pre>
DOI: 10.5281/zenodo.7404634
title: Precipitation reconstructions for Paris based on the observations by Louis Morin, 1665–1713 CE

description: <pre>This dataset includes Louis Morin's daily rainfall records from 1665--1713. More details can be found in the file.</pre>
DOI: 10.25835/vgrg4moe
title: µCT data of an additively manufactured demonstrator with inner lattice channels for use in heat exchangers

description: This dataset contains micro-computed tomography images of an additively manufactured (powder bed fusion of metals using a laser beam, PBF-LB/M) demonstrator part intended for thermal applications. The part consists of branching internal fluid channels and has been generated via _Algorithms-Aided Design_ using the software _Grasshopper_. * __Outer Dimensions:__ 30 x 29 x 56 mm³ * __Wall Thickness:__ 0.6 mm * __Channel Diameters:__ * 4 mm (Inner Channels) * 8 mm (Inlet + Outlet) * __Material:__ 1.2709 (MS1) * __PBF-LB Machine:__ EOS EOSINT M 280 * __µCT Scanner:__ Bruker SkyScan 1275 ![Volumetric Representation](https://data.uni-hannover.de/dataset/360098ca-9e6f-47ef-8ca5-aec6acb8a278/resource/019ca72d-c462-4497-bd9b-1bc3ff388858/download/ct_50_um_rec0000_voi_a.png ) Volumetric representation of the obtained CT data ### References: This data was obtained in the context of the bachelor thesis: * Messmann, C. O.: _Generation of Biomimetic Structures to Increase the Thermal Performance of Additively Manufactured Heat Exchangers_, 2022, Leibniz University Hannover ### Acknowledgements: * The project _“Computer tomograph for optomechatronic systems”_ was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project number 432176896.
DOI: 10.6084/m9.figshare.24183801.v1
title: Extended indels

description: <b>Extend the Benchmarking Indel Set by Manual Review Using the Individual Cell line Sequencing Data from the Sequencing Quality Control 2 (SEQC2) project</b>
DOI: 10.6084/m9.figshare.24183882
title: Guppy_telomere_dataset

description: Dataset including log muscle and sperm RTL, relative orange size, relative sperm production of male guppies.
DOI: 10.6084/m9.figshare.24183882.v1
title: Guppy_telomere_dataset

description: Dataset including log muscle and sperm RTL, relative orange size, relative sperm production of male guppies.
DOI: 10.5281/zenodo.7598676
title: Model setup for simulations of melting beneath Thwaites Glacier

description: Model parameter and forcing files needed to simulate the ocean beneath Thwaites Glacier during the period 2011-2022 as described in the paper "Strong ocean melting feedback during the recent retreat of Thwaites Glacier" in Geophysical Research Letters by the same authors. This is version 2 of the model setup. Version 1 had the seabed bathymetry and ice shelf topography files incorrectly oriented.
DOI: 10.5281/zenodo.7598677
title: Model setup for simulations of melting beneath Thwaites Glacier

description: Model parameter and forcing files needed to simulate the ocean beneath Thwaites Glacier during the period 2011-2022 as described in the paper "Strong ocean melting feedback during the recent retreat of Thwaites Glacier" in Geophysical Research Letters by the same authors.
DOI: 10.5281/zenodo.8316169
title: Model setup for simulations of melting beneath Thwaites Glacier

description: Model parameter and forcing files needed to simulate the ocean beneath Thwaites Glacier during the period 2011-2022 as described in the paper "Strong ocean melting feedback during the recent retreat of Thwaites Glacier" in Geophysical Research Letters by the same authors. This is version 2 of the model setup. Version 1 had the seabed bathymetry and ice shelf topography files incorrectly oriented.
DOI: 10.25573/data.21081727
title: BHL-hosted Knowledge Bases And Related Tools (KBART) Export

description: The datasets containing metadata in KBART for only items hosted by BHL can be downloaded from the following locations:bhlkbart.txtFor contextual information and key definitions about this dataset see the <b>Biodiversity Heritage Library Open Data Collection.</b><br><b>Data Dictionary: </b>https://s.si.edu/bhlkbart<b>Release Date: </b>First of the month<b>Frequency: </b>Monthly<b>bureauCode:</b> 452:11<b>Access Level:</b> public<b>Rights:</b> http://rightsstatements.org/vocab/NoC-US/
DOI: 10.25573/data.21081727.v1
title: BHL-hosted Knowledge Bases And Related Tools (KBART) Export

description: The datasets containing metadata in KBART for only items hosted by BHL can be downloaded from the following locations:bhlkbart.txtFor contextual information and key definitions about this dataset see the <b>Biodiversity Heritage Library Open Data Collection.</b><br><b>Data Dictionary: </b>https://s.si.edu/bhlkbart<b>Release Date: </b>First of the month<b>Frequency: </b>Monthly<b>bureauCode:</b> 452:11<b>Access Level:</b> public<b>Rights:</b> http://rightsstatements.org/vocab/NoC-US/
DOI: 10.25835/envzz3tl
title: µCT data of additively manufactured downskin surface test specimens according to DIN EN ISO/ASTM 52902 for 316L and CuCrZr

description: This dataset contains micro-computed tomography images of selected additively manufactured (powder bed fusion of metals using a laser beam, PBF-LB/M) downskin surface test specimens in accordance with __DIN EN ISO/ASTM 52902:2020-05__. Individual scans of flat tabs with downskin angles of 15° were acquired per material to ensure comparability. * __Materials__: 316L (Carpenter Additive) and CuCrZr (Eckart TLS GmbH) * __Downskin Angle__: 15° * __PBF-LB Machine__: Aconity MIDI+ equipped with an integrated Aerosint SPD Recoater V1.0 * __µCT Scanner__: Bruker SkyScan 1275 ![Exemplary volumetric representation of the 316L 15° test specimen](https://data.uni-hannover.de/dataset/415667ec-e70b-46c3-b815-ce3a058203a2/resource/09c26a6e-b898-4f6d-9ef4-203771c7f315/download/downskin_52902_316l_15deg_volumetric.png) Exemplary volumetric representation of the 316L 15° test specimen ### References The acquired data was used as part of the following publications, which can be referenced for further details: * Meyer, I., Oel, M., Ehlers, T., & Lachmayer, R. (2023). _Additive manufacturing of multi-material parts – Design guidelines for manufacturing of 316L/CuCrZr in laser powder bed fusion_. Heliyon, 9(8), e18301. [https://doi.org/10.1016/j.heliyon.2023.e18301](https://doi.org/10.1016/j.heliyon.2023.e18301) * Meyer, I. (2022). _Belichtungsprozess für die Multimaterialfertigung von Testkörpern im Laser powder bed fusion_. [https://doi.org/10.5446/58540](https://doi.org/10.5446/58540) ### Acknowledgments * This research has been funded by the Ministry for Science and Culture of Lower Saxony (MWK) – School for Additive Manufacturing SAM. * The project _“Major Research Instrumentation for integration of efficient effects in multi-material structural components”_ was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project number 445707542. * The project _“Computer tomograph for optomechatronic systems”_ was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project number 432176896.
DOI: 10.5281/zenodo.8364009
title: Supporting Data for "Allostery in Protein Tyrosine Phosphatases is Enabled by Divergent Dynamics"

description: Molecular dynamics topologies (.prmtop), initial coordinates (.inpcrd), and trajectories (.nc) associated with the preprint: https://doi.org/10.1101/2023.07.23.550226. Tarballs are included for each of the six systems, named by the PDB ID for the starting structure and state (ligand/apo). The four replicates of 155ns are included in each tarball in AMBER's netcdf format (.nc). All trajectories have been stripped of solvent and ions and are autoimaged. Input files and an example script for running simulations in AMBER20 are provided (infiles.tar.gz) as well as the topologies and coordinates for the solvated systems (solvated_topologies.tar.gz).
DOI: 10.5281/zenodo.8364008
title: Supporting Data for "Allostery in Protein Tyrosine Phosphatases is Enabled by Divergent Dynamics"

description: Molecular dynamics topologies (.prmtop), initial coordinates (.inpcrd), and trajectories (.nc) associated with the preprint: https://doi.org/10.1101/2023.07.23.550226. Tarballs are included for each of the six systems, named by the PDB ID for the starting structure and state (ligand/apo). The four replicates of 155ns are included in each tarball in AMBER's netcdf format (.nc). All trajectories have been stripped of solvent and ions and are autoimaged. Input files and an example script for running simulations in AMBER20 are provided (infiles.tar.gz) as well as the topologies and coordinates for the solvated systems (solvated_topologies.tar.gz).
DOI: 10.25835/8dtqgzfi
title: µCT data of an additively manufactured multi-material fused filament fabrication cube test specimen using metal-filled filaments

description: This dataset consists of micro-computed tomography (µCT) images of a multi-material cube test specimen additively manufactured using fused filament fabrication (FFF) and metal-filled filaments. The cube is composed of eight smaller cubes, alternating the materials. * __Outer Dimensions:__ 20 x 20 x 20 mm³ (with each individual cube measuring 10 x 10 x 10 mm³) * __Materials:__ colorFabb Steelfill and colorFabb Copperfill (PLA) * __FFF Machine:__ Flashforge Creator Pro 2 (refer to the included .gx file for printing parameters) * __µCT Scanner:__ Bruker SkyScan 1275 ![Cube Section](https://data.uni-hannover.de/dataset/453889ca-498f-40a8-8c5e-801fd6be16a4/resource/744f527c-6ec9-4fc2-a3f0-5dda4b8344e5/download/cube_section.png) ![Cube Slice](https://data.uni-hannover.de/dataset/453889ca-498f-40a8-8c5e-801fd6be16a4/resource/4f9d64c6-6092-4a0b-abaf-ca66b55add76/download/cube_slice.jpg) In the reconstructed cross-sectional CT images, the darker material represents the denser copper-filled filament. ### Acknowledgments * The project _“Computer tomograph for optomechatronic systems”_ was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project number 432176896.
DOI: 10.34740/kaggle/dsv/6520230
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/6520236
title: Mahanagar Yatayat Transport Dataset
DOI: 10.6084/m9.figshare.24183426
title: <b>Potential roles of PIP4K2A on the comorbidity between type 2 diabetes and Alzheimer's disease</b>

description: Data behind figures (Figs. 1-4, 6 and S1-S3)AUC score of 178 common genes in AD blood and tissue microarray datasets
DOI: 10.6084/m9.figshare.24183426.v2
title: <b>Potential roles of PIP4K2A on the comorbidity between type 2 diabetes and Alzheimer's disease</b>

description: Data behind figures (Figs. 1-4, 6 and S1-S3)AUC score of 178 common genes in AD blood and tissue microarray datasets
DOI: 10.6084/m9.figshare.24183426.v1
title: Data behind figures

description: Data behind figures (Figs. 1-4, 6 and S1-S3)
DOI: 10.6084/m9.figshare.24036387
title: Quantifying old-growth forest of United States Forest Service public lands: Supporting code

description: These files provide code used to attribute old growth status to forest inventory and analysis (FIA) samples ('conditions') in National Forest System regions. To generate estimates of acres of old growth and standard errors, the designation of old growth was appended to the public FIA database and we ran a standard area estimate. See "FIA area estimate example" in this data archive.The manuscript provides supplemental information used by the code, such as criteria and crosswalks from FIA data to regional old growth forest types/vegetation groups, to calculate old growth status in each region. These files provide code used to attribute old growth status to forest inventory and analysis (FIA) samples ('conditions') in National Forest System regions. The code uses public FIA data, available at https://apps.fs.usda.gov/fia/datamart/datamart.html, and supplementary confidential information in some regions (such as geographic information extracted using real coordinates, and modeled tree ages). See "FIA evaluations list" for the complete list the state and years of data used for this work. See "FIA evaluations list" for the complete list the state and years of data used for this work.
DOI: 10.5281/zenodo.8328047
title: Random Similarity Isolation Forest - precalculated distances matrices

description: Precalculated distance matrices for Random Similarity Isolation Forest algorithm.
DOI: 10.5281/zenodo.8328048
title: Random Similarity Isolation Forest - precalculated distances matrices

description: Precalculated distance matrices for Random Similarity Isolation Forest algorithm.
DOI: 10.5281/zenodo.8370621
title: Random Similarity Isolation Forest - precalculated distances matrices

description: Precalculated distance matrices for Random Similarity Isolation Forest algorithm.
DOI: 10.5281/zenodo.8370639
title: Drop count and size of 38 numerical simulation of a flat fan spray

description: Data refer to the drop size distribution used in the paper "Data-driven modelling for drop size distributions" by T. Traverso, T. Abadie, O. K. Matar, and L. Magri (arXiv link: https://arxiv.org/abs/2305.18049) Each of the 38 .csv file in this folder is associated with a different working condition of the nozzle. Specifically, the name 'alpha##_Re##_We##.csv' contains the working condition of the nozzle as - alpha## (## is the spray angle) - Re## (## is the Reynolds number) - We## (## is the Weber number) Each file contains as many raws as the number of drops. In the i-th raw, 1) the first element is the Volume of the i-th drop; 2) the second element is the estimated surface of the i-th drop with the method in equation (18) of [1]; 3) the third element is the equivalent diameter of the i-th drop (i.e., as if it was spherical - computed from the volume) The value of the Weber number found in the Arxiv paper is half of that reported here. The correct one is the one in this database. The paper will be corrected in due time.
description: {"references": ["Traverso, T., Abadie, T., Matar, O. K., & Magri, L. (2023). Data-driven modelling for drop size distributions. arXiv preprint arXiv:2305.18049."]}