cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/2d857eb6d93355d02c767b6dff9cd9f6
title: CME01 The Consumer Size Manipulation Experiment (ConSME) at Konza Prairie

description: Herbivores of varying size classes exist with the grassland biome (large mammals, small mammals, insects), however their independent and interactive effects on grassland plant species composition and function are understudied. Here we aim to tease apart the effects of three size classes of herbivores within the Konza Prairie system, and whether these effects vary across fire regimes.
DOI: 10.25838/d5p-42
title: Supporting Information for "Enzyme adaptation to habitat thermal legacy shapes the thermal plasticity of marine microbiomes"

description: The dataset contains: I. 3D structural models of esterases generated by a AlphaFold2-based workflow of ColabFold, II. predicted catalytic triads of esterases and their substrate accessibilities analyzed by CAVER 3.0.3 PyMOL Plugin, III. input and output files for molecular dynamics (MD) simulations performed by Amber21, and, IV. Tp-values of esterases predicted by Constraint Network Analysis (CNA). We added template scripts and a readme file for further explanations.
DOI: 10.6073/pasta/af7f15d9a09e8e029ee8f7487e7682a0
title: DEM01 Demographic studies of four forb species at Konza Prairie

description: Plant survival, growth, reproduction, and recruitment of 4 forb species (Amorpha canescens, Echinacea angustifolia, Aster oblongifolius, Kuhnia eupatorioides) were estimated annually within permanent transects in 20 watersheds, starting in 2020.
DOI: 10.5281/zenodo.7566705
title: Who's Who of American Returned Students 遊美同學錄 (1917): Affiliation Data (Chinese)

description: This dataset is derived from the <em>Whoʻs Who of American Returned Students </em>遊美同學錄<em> </em>[<em>Youmei Tongxue Lu</em>] published in<em> </em>Peking [Beijing] in 1917, compiled by the Returned Students’ Information Bureau (Liumei xuesheng tongxunchu 留美學生通訊處) established at Tsinghua School in 1915. This book is crucial for documenting the early <em>liumei</em>'s experiences during the transitional period between the late Qing dynasty and the early years of the Republic (1911-). The dataset records all the institutions to which the students were affiliated in the course of their lives, including the educational institutions in which they studied in China, the United States, and other countries; the public or private organizations in which they were employed; as well as their memberships in clubs and associations. The names of organizations were retrieved automatically from the Chinese biographies using named entity recognition (SpaCy model), then manually cleaned, classified, and validated by the author. The attached file contains three tabs for (1) the list of affiliations (data); (2) the classification of organizations (class), and (3) the description of variables (key). The dataset records a total of 2,883 affiliations, linking 401 unique individuals to 1,344 unique institutions, distributed as followed: <strong>category</strong> <strong>n</strong> education 565 association 271 administration 132 business 110 facility 92 media 66 government 49 factory 30 other 22 military 7
description: This research has been funded by the Chiang Ching-kuo Foundation for International Scholarly Exchange (Project n° RG004-U-21).
DOI: 10.5281/zenodo.7566704
title: Who's Who of American Returned Students 遊美同學錄 (1917): Affiliation Data (Chinese)

description: This dataset is derived from the <em>Whoʻs Who of American Returned Students </em>遊美同學錄<em> </em>[<em>Youmei Tongxue Lu</em>] published in<em> </em>Peking [Beijing] in 1917, compiled by the Returned Students’ Information Bureau (Liumei xuesheng tongxunchu 留美學生通訊處) established at Tsinghua School in 1915. This book is crucial for documenting the early <em>liumei</em>'s experiences during the transitional period between the late Qing dynasty and the early years of the Republic (1911-). The dataset records all the institutions to which the students were affiliated in the course of their lives, including the educational institutions in which they studied in China, the United States, and other countries; the public or private organizations in which they were employed; as well as their memberships in clubs and associations. The names of organizations were retrieved automatically from the Chinese biographies using named entity recognition (SpaCy model), then manually cleaned, classified, and validated by the author. The attached file contains three tabs for (1) the list of affiliations (data); (2) the classification of organizations (class), and (3) the description of variables (key). The dataset records a total of 2,883 affiliations, linking 401 unique individuals to 1,344 unique institutions, distributed as followed: <strong>category</strong> <strong>n</strong> education 565 association 271 administration 132 business 110 facility 92 media 66 government 49 factory 30 other 22 military 7
description: This research has been funded by the Chiang Ching-kuo Foundation for International Scholarly Exchange (Project n° RG004-U-21).
DOI: 10.6084/m9.figshare.3761562.v2468
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: 10.6084/m9.figshare.16734961
title: Radiolarian SAG Assemblies and Predicted Mito Proteins

description: contigs from single-amplified genome (SAG) assemblies from two radiolarians - rad1: Acanthometra sp. (Acantharia); rad2: Lithomelissa sp. (Nassellaria), and two foraminiferans - A1: Calcarina sp.; A29: Neorotalia sp. <br> <br> predicted mitochondrial gene sequences from the two radiolarian SAGs and the two foraminiferan SAGs, in addition to the gene sequences of ~30 other foraminifera <br> mitochondrial genomes of rad1, rad2, A1, and A29 <br> multiple sequence alignments of the 13 translated mitochondrial genes present within rad1 and rad2, aligned with many other protistan lineages from Genbank
DOI: 10.6084/m9.figshare.16734961.v2
title: Radiolarian SAG Assemblies and Predicted Mito Proteins

description: single-amplified genome assemblies and the predicted mitochondrial protein sequences from two radiolarians - rad1: Acanthometra sp. (Acantharia); rad2: Lithomelissa sp. (Nassellaria)<br>
DOI: 10.6073/pasta/bf600a85b95488e1d73c264480450e92
title: EJR01 Foraging decisions underlying restricted space-use: effects of fire and forage maturation on large herbivore nutrient uptake on Konza Prairie

description: Recent models suggest that herbivores optimize nutrient intake by selecting patches of low to intermediate vegetation biomass. We assessed the application of this hypothesis to plains bison (Bison bison) in an experimental grassland managed with fire by estimating daily rates of nutrient intake in relation to grass biomass and by measuring patch selection in experimental watersheds in which grass biomass was manipulated by prescribed burning. Digestible crude protein content of grass declined linearly with increasing biomass, and the mean digestible protein content relative to grass biomass was greater in burned watersheds than watersheds not burned that spring (intercept; F1,251 = 50.57, P &lt; 0.0001). Linking these values to published functional response parameters, ad libitum protein intake, and protein expenditure parameters, Fryxell's (Am. Nat., 1991, 138, 478) model predicted that the daily rate of protein intake should be highest when bison feed in grasslands with 400 - 600 kg/ha. In burned grassland sites, where bison spend most of their time, availability of grass biomass ranged between 40 and 3650 kg/ha, bison selected foraging areas of roughly 690 kg/ha, close to the value for protein intake maximization predicted by the model. The seasonal net protein intake predicted for large grazers in this study suggest feeding in burned grassland can be more beneficial for nutrient uptake relative to unburned grassland as long as grass regrowth is possible. Foraging site selection for grass patches of low to intermediate biomass help explain patterns of uniform space use reported previously for large grazers in fire-prone systems. This data set was used to test the forage maturation hypothesis in the Konza Prairie bison enclosure from 2012-2013. Our objectives were to quantify foraging site selection of Plains bison in order to determine if bison in a fire-prone grassland selected sites of low-to-intermediate forage biomass as posited by Fryxell’s (1991) forage maturation hypothesis. Additionally, to understand how foraging patterns shifted when grass regrowth was not possible, we quantified the annual diet of four GPS - collared bison via stable isotope analysis of tail hair plucked during roundup.
DOI: 10.5281/zenodo.5718939
title: Synthesized Impedance Spectra Measurements of Epithelial Tissue

description: This dataset consists of synthetic impedance measurements on modeled epithelial tissue as described in [1]. Based on previous work, physiological tissue properties were estimated for the `HT29/B6`, `IPECJ 2`, and `MDCK I` cell lines [2]. In this way, appropriate ranges of cell model parameters could be determined both for physiological control conditions and after apical addition of the substance Nystatin. For each cell line and condition, 150,000 values were randomly selected within their ranges. For each sample, a spectral impedance measurement was synthesized for 42 frequencies between 1.3 Hz and 16.35 kHz. Furthermore, the measurements were scattered to account for deviations from the theoretical impedance value due to the experimental setup. For more details see [1]. <strong>Important</strong>: You are cordially invited to use this dataset for your research or teaching purposes. For example, to compare your impedance analysis approach with ours or to develop new machine learning methods. <strong>If you use this dataset for a scientific publication, please cite [1]</strong>, where the synthesis and original application of this dataset are described in detail. If you have any questions or remarks, please do not hesitate to contact me via email (bschindler at informatik.uni-leipzig.de). ### Sources ###<br> [1] B. Schindler, D. Günzel, and T. Schmid, “Transcending Two-Path Impedance Spectroscopy with Machine Learning:<br> A Computational Study on Modeling and Quantifying Electric Bipolarity of Epithelia,“ International Journal On Advances in Life Sciences 13(1-2), 2021 <br> [2] T. Schmid, “Automatisierte Analyse von Impedanzspektren mittels konstruktivistischen maschinellen Lernens,” Ph.D. dissertation, Universität Leipzig, Germany, 2018.
DOI: 10.5281/zenodo.7071806
title: Synthesized Impedance Spectra Measurements of Epithelial Tissue

description: This dataset consists of synthetic impedance measurements on modeled epithelial tissue as described in [1]. Based on previous work, physiological tissue properties were estimated for the `HT29/B6`, `IPECJ 2`, and `MDCK I` cell lines [2]. In this way, appropriate ranges of cell model parameters could be determined both for physiological control conditions and after apical addition of the substance Nystatin. For each cell line and condition, 150,000 values were randomly selected within their ranges. For each sample, a spectral impedance measurement was synthesized for 42 frequencies between 1.3 Hz and 16.35 kHz. Furthermore, the measurements were scattered to account for deviations from the theoretical impedance value due to the experimental setup. For more details see [1]. <strong>Important</strong>: You are cordially invited to use this dataset for your research or teaching purposes. For example, to compare your impedance analysis approach with ours or to develop new machine learning methods. <strong>If you use this dataset for a scientific publication, please cite [1]</strong>, where the synthesis and original application of this dataset are described in detail. If you have any questions or remarks, please do not hesitate to contact me via email (bschindler at informatik.uni-leipzig.de). ### Changelog ### version 1.1 -&gt; clean impedance spectra without error modeling were added. version 1.0 -&gt; initial upload ### Sources ###<br> [1] B. Schindler, D. Günzel, and T. Schmid, “Transcending Two-Path Impedance Spectroscopy with Machine Learning:<br> A Computational Study on Modeling and Quantifying Electric Bipolarity of Epithelia,“ International Journal On Advances in Life Sciences 13(1-2), 2021 <br> [2] T. Schmid, “Automatisierte Analyse von Impedanzspektren mittels konstruktivistischen maschinellen Lernens,” Ph.D. dissertation, Universität Leipzig, Germany, 2018.
DOI: 10.5281/zenodo.5718938
title: Synthesized Impedance Spectra Measurements of Epithelial Tissue

description: This dataset consists of synthetic impedance measurements on modeled epithelial tissue as described in [1]. Based on previous work, physiological tissue properties were estimated for the `HT29/B6`, `IPECJ 2`, and `MDCK I` cell lines [2]. In this way, appropriate ranges of cell model parameters could be determined both for physiological control conditions and after apical addition of the substance Nystatin. For each cell line and condition, 150,000 values were randomly selected within their ranges. For each sample, a spectral impedance measurement was synthesized for 42 frequencies between 1.3 Hz and 16.35 kHz. Furthermore, the measurements were scattered to account for deviations from the theoretical impedance value due to the experimental setup. For more details see [1]. <strong>Important</strong>: You are cordially invited to use this dataset for your research or teaching purposes. For example, to compare your impedance analysis approach with ours or to develop new machine learning methods. <strong>If you use this dataset for a scientific publication, please cite [1]</strong>, where the synthesis and original application of this dataset are described in detail. If you have any questions or remarks, please do not hesitate to contact me via email (bschindler at informatik.uni-leipzig.de). ### Changelog ### version 1.2 -&gt; statistical features recalculated (for incorrect variance and median-mean) and added (pairwise differences and ratios) version 1.1 -&gt; clean impedance spectra without error modeling were added. version 1.0 -&gt; initial upload ### Sources ###<br> [1] B. Schindler, D. Günzel, and T. Schmid, “Transcending Two-Path Impedance Spectroscopy with Machine Learning:<br> A Computational Study on Modeling and Quantifying Electric Bipolarity of Epithelia,“ International Journal On Advances in Life Sciences 13(1-2), 2021 <br> [2] T. Schmid, “Automatisierte Analyse von Impedanzspektren mittels konstruktivistischen maschinellen Lernens,” Ph.D. dissertation, Universität Leipzig, Germany, 2018.
DOI: 10.5281/zenodo.7566715
title: Synthesized Impedance Spectra Measurements of Epithelial Tissue

description: This dataset consists of synthetic impedance measurements on modeled epithelial tissue as described in [1]. Based on previous work, physiological tissue properties were estimated for the `HT29/B6`, `IPECJ 2`, and `MDCK I` cell lines [2]. In this way, appropriate ranges of cell model parameters could be determined both for physiological control conditions and after apical addition of the substance Nystatin. For each cell line and condition, 150,000 values were randomly selected within their ranges. For each sample, a spectral impedance measurement was synthesized for 42 frequencies between 1.3 Hz and 16.35 kHz. Furthermore, the measurements were scattered to account for deviations from the theoretical impedance value due to the experimental setup. For more details see [1]. <strong>Important</strong>: You are cordially invited to use this dataset for your research or teaching purposes. For example, to compare your impedance analysis approach with ours or to develop new machine learning methods. <strong>If you use this dataset for a scientific publication, please cite [1]</strong>, where the synthesis and original application of this dataset are described in detail. If you have any questions or remarks, please do not hesitate to contact me via email (bschindler at informatik.uni-leipzig.de). ### Changelog ### version 1.2 -&gt; statistical features recalculated (for incorrect variance and median-mean) and added (pairwise differences and ratios) version 1.1 -&gt; clean impedance spectra without error modeling were added. version 1.0 -&gt; initial upload ### Sources ###<br> [1] B. Schindler, D. Günzel, and T. Schmid, “Transcending Two-Path Impedance Spectroscopy with Machine Learning:<br> A Computational Study on Modeling and Quantifying Electric Bipolarity of Epithelia,“ International Journal On Advances in Life Sciences 13(1-2), 2021 <br> [2] T. Schmid, “Automatisierte Analyse von Impedanzspektren mittels konstruktivistischen maschinellen Lernens,” Ph.D. dissertation, Universität Leipzig, Germany, 2018.
DOI: 10.6073/pasta/a93e36ab0bd0b00dd6b40fb20d214849
title: ESM01 Fire and grazing modulate the structure and resistance of plant-floral visitor networks in a tallgrass prairie

description: Data from the study: Welti, E.A.R. and Joern, A. 2017. Fire and Grazing modulate the structure and resistance of plant-floral visitor networks in a tallgrass prairie. Oecologia 186: 447-458. EMS011 dataset contains counts of blooming inflorescences of plant species on 12 Konza watersheds in June-July of 2014; ESM012 dataset contains associations between flower-visiting insects and insect-pollinated flowering plants on 12 Konza watersheds collected in May-July of 2014; ESM013 dataset describes insects belonging to the orders of Coleoptera, Diptera, Lepidoptera and Hymenoptera collected in pantrap transects on 12 Konza watersheds collected in June - July of 2014.
DOI: 10.25800/dp3e-6881
title: DSA-110 Data for Candidate Fast Radio Burst 220426aaaw

description: Data associated with DSA-110 candidate transient.
DOI: 10.26093/cds/vizier.51640003
title: 34 Low-mass comoving systems astrometry using NSC DR2

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Discovery of 34 Low-mass Comoving Systems Using NOIRLab Source Catalog DR2.' (bibcode: 2022AJ....164....3K)
DOI: 10.26093/cds/vizier.51640054
title: Gaia structural parameters of 256 open clusters

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'New Insights into the Structure of Open Clusters in the Gaia Era.' (bibcode: 2022AJ....164...54Z)
DOI: 10.26093/cds/vizier.19140116
title: Lithium abundances from LAMOST MRS. I.

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The lithium abundances from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope Medium-Resolution Survey. I. The method.' (bibcode: 2021ApJ...914..116G)
DOI: 10.26093/cds/vizier.19140127
title: Gaia-ASAS-SN classical Cepheid sample. I.

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The Gaia-ASAS-SN classical Cepheid sample. I. Sample selection.' (bibcode: 2021ApJ...914..127I)
DOI: 10.26093/cds/vizier.19150103
title: Oscillator strength ref. for Indus_0 & Indus_13

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'S^5^: the destruction of a bright dwarf galaxy as revealed by the chemistry of the Indus stellar stream.' (bibcode: 2021ApJ...915..103H)
DOI: 10.26093/cds/vizier.19150020
title: Phot. measurements of stars in & near 1E 0102.2-7219

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Searching for surviving companion in the young SMC supernova remnant 1E 0102.2-7219.' (bibcode: 2021ApJ...915...20L)
DOI: 10.26093/cds/vizier.19160058
title: HST obs. of supernova remnants in NGC6946

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The masses of supernova remnant progenitors in NGC 6946.' (bibcode: 2021ApJ...916...58K)
DOI: 10.15472/uyxoum
title: Aves de ocho Biodiverciudades de Colombia - Bioblitz 2022

description: I2D-BIO_2023_007. En el marco del proyecto "Bioblitz en ocho Biodiverciudades", entre mayo y diciembre de 2022, llevamos a cabo actividades de monitoreo participativo de la avifauna en ocho ciudades de Colombia que fueron: Armenia, Montería, Yopal, Leticia, Barrancabermeja, Pasto, Villavicencio, Manizales, con el fin de aunar esfuerzos para obtener información de la biodiversidad presente en el tejido urbano y contribuir a la generación y apropiación de conocimiento sobre la naturaleza de estas ciudades. Esta lista de especies contiene registros extraídos de información secundaria, después de realizar un proceso de revisión y depuración de datos. Asimismo, incluye los registros de especies observadas durante el Bioblitz en las ocho ciudades, mediante detecciones visuales y auditivas de aves. Presentamos un total de 1199 especies de aves y de estas, 219 fueron observadas durante las actividades de ciencia participativa de este proyecto, las cuales se distribuyen en 167 géneros, 45 familias y 22 órdenes.
DOI: 10.15785/sbgrid/873
title: X-Ray Diffraction data from Mycobacterial methylmannose polysaccharide mannosyltransferase, source of 7QSG structure

description: X-Ray Diffraction data from M. hassiacum ManT, source of 7QSG structure
DOI: 10.15785/sbgrid/875
title: X-Ray Diffraction data from Mycobacterial methylmannose polysaccharide hydrolase, source of structure

description: X-Ray Diffraction data from M. hassiacum MmpH (Se-Met data set)
DOI: 10.6084/m9.figshare.21898938
title: Untrimmed, Unmasked Ribosomal Proteins for Gallionellaceae Tree

description: The untrimmed and unmasked protein alignments for the Gallionellaceae concatenated ribosomal protein tree.
DOI: 10.6084/m9.figshare.21898929
title: Trimmed, Masked Ribosomal Proteins for Gallionellaceae Tree

description: The trimmed and masked protein alignments for the Gallionellaceae concatenated ribosomal protein tree.
DOI: 10.6084/m9.figshare.21898929.v1
title: Trimmed, Masked Ribosomal Proteins for Gallionellaceae Tree

description: The trimmed and masked protein alignments for the Gallionellaceae concatenated ribosomal protein tree.
DOI: 10.5281/zenodo.7348895
title: An experimental and numerical study of turbulent oscillatory flow over an irregular rough wall

description: Phase-averaged experimental data, phase- and spatial-averaged numerical data, and digitized roughness as described in: Dunbar, D., van der A, D.A., Scandura, T., O'Donoghue, T. (2023). An experimental and numerical study of turbulent oscillatory flow over an irregular rough wall. Journal of Fluid Mechanics, 955, A33, doi:10.1017/jfm.2022.1090. If interested in the time-series data and/or the spatially varying numerical data please contact the corresponding author of the paper.
DOI: 10.5281/zenodo.7348894
title: An experimental and numerical study of turbulent oscillatory flow over an irregular rough wall

description: Phase-averaged experimental data, phase- and spatial-averaged numerical data, and digitized roughness as described in: Dunbar, D., van der A, D.A., Scandura, T., O'Donoghue, T. (2023). An experimental and numerical study of turbulent oscillatory flow over an irregular rough wall. Journal of Fluid Mechanics, 955, A33, doi:10.1017/jfm.2022.1090. If interested in the time-series data and/or the spatially varying numerical data please contact the corresponding author of the paper.
DOI: 10.6084/m9.figshare.21950378
title: embeddings.zip

description: These are the resources for our research paper Do Embeddings Actually Capture Knowledge Graph Semantics? published at the ESWC 2021 conference in research papers track.
DOI: 10.6084/m9.figshare.21950378.v1
title: embeddings.zip

description: These are the resources for our research paper Do Embeddings Actually Capture Knowledge Graph Semantics? published at the ESWC 2021 conference in research papers track.