cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6338071
title: An automated workflow for parallel processing of large multiview SPIM recordings

description: Selective Plane Illumination Microscopy (SPIM) allows to image developing organisms in 3D at unprecedented temporal resolution over long periods of time. The resulting massive amounts of raw image data requires extensive processing interactively via dedicated graphical user interface (GUI) applications. The consecutive processing steps can be easily automated and the individual time points can be processed independently, which lends itself to trivial parallelization on a high performance computing (HPC) cluster. Here, we introduce an automated workflow for processing large multiview, multichannel, multiillumination time-lapse SPIM data on a single workstation or in parallel on a HPC cluster. The pipeline relies on <em>snakemake</em> to resolve dependencies among consecutive processing steps and can be easily adapted to any cluster environment for processing SPIM data in a fraction of the time required to collect it.
DOI: 10.5281/zenodo.6338070
title: An automated workflow for parallel processing of large multiview SPIM recordings

description: Selective Plane Illumination Microscopy (SPIM) allows to image developing organisms in 3D at unprecedented temporal resolution over long periods of time. The resulting massive amounts of raw image data requires extensive processing interactively via dedicated graphical user interface (GUI) applications. The consecutive processing steps can be easily automated and the individual time points can be processed independently, which lends itself to trivial parallelization on a high performance computing (HPC) cluster. Here, we introduce an automated workflow for processing large multiview, multichannel, multiillumination time-lapse SPIM data on a single workstation or in parallel on a HPC cluster. The pipeline relies on <em>snakemake</em> to resolve dependencies among consecutive processing steps and can be easily adapted to any cluster environment for processing SPIM data in a fraction of the time required to collect it.
DOI: 10.6073/pasta/129aad2e0f36ae5c04bd5b68d9dc6ec5
title: Year 2018, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth, mid-estuary in Parker River near railroad bridge, Newbury, MA.

description: Year 2018, water quality sonde data.15 minute readings of water column temperature, salinity, oxygen and depth in the Parker River Estuary near the railroad bridge in Newbury, MA, mid-estuary, about 12.5 km upstream from mouth of Plum Island Sound.
DOI: 10.5281/zenodo.6338274
title: Supporting Information - An experimental assessment of competitive interactions between sexual and apomictic fern gametophytes using Easy Leaf Area

description: Supporting Information for the paper titled <strong>An experimental assessment of competitive interactions between sexual and apomictic fern gametophytes using Easy Leaf Area</strong> published in Applications in Plant Sciences.
DOI: 10.5281/zenodo.6338273
title: Supporting Information - An experimental assessment of competitive interactions between sexual and apomictic fern gametophytes using Easy Leaf Area

description: Supporting Information for the paper titled <strong>An experimental assessment of competitive interactions between sexual and apomictic fern gametophytes using Easy Leaf Area</strong> published in Applications in Plant Sciences.
DOI: 10.6084/m9.figshare.19323842.v1
title: A time relic: A new species of Amerophidia Vidal et al. 2007 (Serpentes: Alethinophidia) snake

description: Supplementary Table 1. Accession number for gene fragments used in the molecular analysis (.xls).<br><br>Supplementary Table 2. Verified point records of Tropidophis from Mainland South America (.xls).<br><br>Supplementary Table 3. Inferred p-distances and patristic distances based on mitochondrial data (.xls). <br><br>Supplementary File 1. Alignment of 16S small subunit ribosomal ribonucleic acid [rRNA] gene fragments for selected snake species (.nexus).<br><br>Supplementary File 2. IQ-Tree Maximum Likelihood analysis output (.zip). <br><br>Supplementary File 3. Maximum Likelihood inference topology (.pdf). <br>
DOI: 10.6084/m9.figshare.19068134
title: Meta Analysis of the Ralstonia solanacearum species complex (RSSC) based on comparative evolutionary genomics and reverse ecology

description: Supplementary Material for 'Meta Analysis of the <i>Ralstonia solanacearum</i> species complex (RSSC) based on comparative evolutionary genomics and reverse ecology', as published in <i>Microbial Genomics</i>.
DOI: 10.5066/p995pcqy
title: Database for the Central United States Velocity Model, v1.3

description: We have developed a new three-dimensional seismic velocity model of the central United States (CUSVM) that includes the New Madrid Seismic Zone (NMSZ) and covers parts of Arkansas, Mississippi, Alabama, Illinois, Missouri, Kentucky, and Tennessee. The model represents a compilation of decades of crustal research consisting of seismic, aeromagnetic, and gravity profiles; geologic mapping; geophysical and geological borehole logs; and inversions of the regional seismic properties. The density and P- and S-wave velocities are synthesized in a stand-alone spatial database that can be queried to generate the required input for numerical seismic-wave propagation simulations. The velocity model has been tested and calibrated by simulating ground motions of the 18 April 2008 Mw 5.4 Mt. Carmel, Illinois, earthquake and comparing the results with observed records within the model area (see associated publication). This dataset includes the database needed to construct velocity profiles from the CUSVM. The code to calculate velocity using this dataset can be found at https://doi.org/10.5066/P939E3EZ. Please see the associated publication for specifics about how the surfaces and velocity information is compiled and accessed. The domain of the velocity model is: LON_min = -92.9 LON_max = -85.1 LAT_min = 33.1 LAT_max = 39.9 depth_min = 0 depth_max = 60e3 The database consists of: Control file: control.in Surfaces: surf_air.in surf_cretaceous.in surf_lmclaiborne.in surf_lowercrust.in surf_mesocenozoic.in surf_modifiedlowercrust.in surf_paleocene.in surf_paleozoic.in surf_quaternaryembayment.in surf_stlouis.in surf_uppercrust.in surf_uppermantle.in surf_uppertertiary.in Velocity information: vel_profiles_paleozoic.fun,surf vel_profiles_stlouis.fun,surf vel_profiles_uppercrust.fun,surf surf_mesocenozoic.surfvs30 surf_quaternaryembayment.surfvs30
DOI: 10.5066/p9xq2ngb
title: Data Release for PGV Data for the 2018 National Seismic Hazard Model for the Conterminous United States

description: Peak ground velocity (PGV) gridded probabilistic seismic hazard data for the updated 2018 National Seismic Hazard Model (NSHM) for the Conterminous United States (CONUS). PGV hazard curves and ground motions have been calculated on a 0.05 by 0.05 degree grid using the NSHM CONUS 2018 earthquake source model. PGV support has been incorporated into the NSHM using a newly developed PGV model conditioned on pseudo-spectral acceleration (Abrahamson and Bhasin, 2020, PEER Report No. 2020/05). See Powers et al. (in press) for implementation details. This dataset complements the &quot;Data Release for Additional Period and Site Class Data for the 2018 National Seismic Hazard Model for the Conterminous United States (ver. 1.2, May 2021)&quot; (https://doi.org/10.5066/P9RQMREV). Powers, P.M., Altekruse, J.M., and Abrahamson, N.A., Support for peak ground velocity in the US Geological Survey National Seismic Hazard Model, Proc. Lifelines Conf. 2021-22, ASCE, Los Angeles, CA. (in press).
DOI: 10.5066/p9v8dguh
title: Datasets documenting lineament mapping and neotectonic observations in northern New Mexico

description: These datasets provide remotely mapped lineaments and neotectonic observations in northern New Mexico, based on 1-m lidar and satellite imagery data. Some lineaments are interpreted to be Quaternary-active faults, whereas others are interpreted to be older bedrock faults with no evidence for Quaternary movement. Simplified fault traces for interpreted Quaternary-active faults are provided for seismic hazard studies. These datasets are associated with the publication: Thompson Jobe, J.A. and Chupik, C.M., in press, Low-rate faulting on the margin of the Colorado Plateau and Rio Grande Rift in north-central New Mexico: Tectonics.
DOI: 10.5066/p9314jrh
title: Field and Laboratory Data for the Sheep Creek and Arentson Gulch Trench Sites, Lost River Fault Zone, Idaho

description: This data release includes field observations and laboratory data for two trenches excavated across the Lost River fault zone, Idaho, in September 2019. The field sites include the Sheep Creek site (44.282541 degrees N, 113.941193 degrees W) on the southernmost Warm Springs section and the Arentson Gulch site (44.247816 degrees N, 113.918554 degrees W) on the northernmost Thousand Springs section. Field observations include descriptions of stratigraphic units exposed in the trenches; laboratory data include 41 radiocarbon ages and 4 infrared stimulated luminescence ages.
DOI: 10.5519/qd.sork4q84
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (37 records)
DOI: 10.5281/zenodo.6326209
title: Characteristics of individuals with moderate to severe asthma who better respond to aerobic training: a cluster analysis

description: Database used in the study's statistical analysis
DOI: 10.5281/zenodo.6326208
title: Characteristics of individuals with moderate to severe asthma who better respond to aerobic training: a cluster analysis

description: Database used in the study's statistical analysis
DOI: 10.6084/m9.figshare.19241982
title: Dataset - F1000 - 109708.xlsx

description: This research was conducted on Islamic money market mutual funds registered with the OJK using three years (2015-2018) with a total sample of 36 Islamic money market mutual funds. There is one dependent variable in this research, namely the Islamic money market mutual funds’ performance, and three independent variables: asset allocation policy, investment manager performance, and risk level. The asset allocation policy variable was measured using Sharpe’s Asset Class Factor Model, the investment manager performance using the Treynor-Mazuy Model, the level of risk using the Standard Deviation Formula, and the performance of the Islamic money market mutual funds using the Shape Ratio
DOI: 10.5517/ccdc.csd.cc21w368
title: CCDC 1902879: Experimental Crystal Structure Determination

description: Related Article: Hee-Seung Lee, Lim, Danim, Kim, Jaewook|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21wr1r
title: CCDC 1903494: Experimental Crystal Structure Determination

description: Related Article: Sunghan Choi|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc21wr0q
title: CCDC 1903493: Experimental Crystal Structure Determination

description: Related Article: Sunghan Choi|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc226z3d
title: CCDC 1913323: Experimental Crystal Structure Determination

description: Related Article: Sunghan Choi, So-Yeon Kim|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2278d0
title: CCDC 1913611: Experimental Crystal Structure Determination

description: Related Article: Sunghan Choi|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28n7y4
title: CCDC 2104836: Experimental Crystal Structure Determination

description: Related Article: Shigeyuki  Yamada|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28n7z5
title: CCDC 2104837: Experimental Crystal Structure Determination

description: Related Article: Shigeyuki  Yamada|2021|CSD Communication|||
DOI: 10.34740/kaggle/dsv/3270825
title: Covid-19 in Singapore : Latest Detailed Data
DOI: 10.5281/zenodo.6330801
title: Dataset - Classification of abrupt changes along viewing profiles of scientific articles

description: This is the dataset used to run experiments described in "Classification of abrupt changes along viewing profiles of scientific articles" (more info in https://github.com/carolmb/viewing-profiles-of-scientific-articles). Data original from PlosOne papers views.
DOI: 10.5281/zenodo.6330800
title: Dataset - Classification of abrupt changes along viewing profiles of scientific articles

description: This is the dataset used to run experiments described in "Classification of abrupt changes along viewing profiles of scientific articles" (more info in https://github.com/carolmb/viewing-profiles-of-scientific-articles). Data original from PlosOne papers views.
DOI: 10.5281/zenodo.6332525
title: HEAR NeurIPS 2021 Submitted Models (Holistic Evaluation of Audio Representations)

description: This is a mirror of audio representation models that are HEAR API compatible, submitted to the HEAR 2021 NeurIPS challenge: Holistic Evaluation of Audio Representations. To use these models, please see the hear2021-submitted-models repository. For more information about HEAR, see the HEAR 2021 website, upcoming PMLR journal article, and the HEAR 2021 datasets on Zenodo. The aim of this challenge is to develop a general-purpose audio representation that provides a strong basis for learning in a wide variety of tasks and scenarios. The HEAR 2021 challenge invites you to create an audio embedding that is as holistic as the human ear, i.e., one that performs well across a variety of everyday domains: What approach best generalizes to a wide range of downstream audio tasks without fine-tuning? HEAR 2021 evaluates audio representations using a benchmark suite across a variety of domains, including speech, environmental sound, and music.
DOI: 10.5281/zenodo.6332524
title: HEAR NeurIPS 2021 Submitted Models (Holistic Evaluation of Audio Representations)

description: This is a mirror of audio representation models that are HEAR API compatible, submitted to the HEAR 2021 NeurIPS challenge: Holistic Evaluation of Audio Representations. To use these models, please see the hear2021-submitted-models repository. For more information about HEAR, see the HEAR 2021 website, upcoming PMLR journal article, and the HEAR 2021 datasets on Zenodo. The aim of this challenge is to develop a general-purpose audio representation that provides a strong basis for learning in a wide variety of tasks and scenarios. The HEAR 2021 challenge invites you to create an audio embedding that is as holistic as the human ear, i.e., one that performs well across a variety of everyday domains: What approach best generalizes to a wide range of downstream audio tasks without fine-tuning? HEAR 2021 evaluates audio representations using a benchmark suite across a variety of domains, including speech, environmental sound, and music.
DOI: 10.5281/zenodo.6337787
title: Combining Horizontal Strain DAS and Local Seismic Stations in a Full Waveform Attribute Stacking Detector/Locator Algorithm: Verification Test for the Thorbjörn, Iceland, 2020 Unrest Episode

description: We present a waveform stacking-based earthquake catalog of the seismicity unrest episode in the Svartsengi fissure swarm close to Mt. Thorbjörn, SW Iceland, which started in January 2020 and was still ongoing in January 2021. The magmatic unrest produced more than 5 earthquake swarms comprising thousands of individual events each. We were able to combine local and regional seismic networks with 6 months recording of a 17 km long distributed acoustic sensing (DAS) fibre optical cable with a channel resolution of 4 m. The kHz DAS data were downsampled to 200 Hz and stacked every 64 m. The catalog is based on a migration-based detector / locator technique as for instance implemented in Lassie (Pyrocko). In the accompanying we demonstrate the robustness in a wide variety of applications in seismology. For this dataset, we have extended Lassie to efficiently combine linear ultra-dense sensor arrays with sparse seismological networks.
description: The catalog is in human-readable CSV format, with the timestamp in UTC as seconds from UNIX epoch. The catalog contains all events at all detection levels. In the publication earthquake detections above a threshold of &gt; 400 are shown.
DOI: 10.5281/zenodo.6336156
title: Model results and observation data in Zhang et al. modeling of wave interference at Ocean Beach, CA

description: The dataset contains modeling results and observation data supporting the manuscript of Phase-resolved modeling of wave interference and its effects on nearshore circulation in a large ebb shoal-beach system by Yu Zhang, Fengyan Shi, Jim Kirby, Xi Feng.
DOI: 10.5281/zenodo.6336155
title: Model results and observation data in Zhang et al. modeling of wave interference at Ocean Beach, CA

description: The dataset contains modeling results and observation data supporting the manuscript of Phase-resolved modeling of wave interference and its effects on nearshore circulation in a large ebb shoal-beach system by Yu Zhang, Fengyan Shi, Jim Kirby, Xi Feng.
DOI: 10.5281/zenodo.6338472
title: TELL sample output data

description: This dataset contains sample output data for TELL. The sample dataset includes four years of sample future data (2039, 2059, 2079, and 2099) that comes from IM3's future WRF runs under the RCP 8.5 climate scenario with SSP5 population forcing. Note that the GCAM-USA output used in this simulation is sample data only. As such the quantitative results from this set of sample output should not be considered valid.
DOI: 10.5281/zenodo.6338471
title: TELL sample output data

description: This dataset contains sample output data for TELL. The sample dataset includes four years of sample future data (2039, 2059, 2079, and 2099) that comes from IM3's future WRF runs under the RCP 8.5 climate scenario with SSP5 population forcing. Note that the GCAM-USA output used in this simulation is sample data only. As such the quantitative results from this set of sample output should not be considered valid.
DOI: 10.5063/f1q23xpx
title: AgEvidence Kenya: Agro-environmental responses of regenerative agricultural practices published from 2015 to 2020

description: AgEvidence Kenya is a database of the multiple benefits and trade-offs associated with regenerative agricultural practices. The purpose of these data are to provide organizations, policy makers, scientists, and other interested parties with all the available evidence related to the diversity and magnitude of agro-environmental impacts that occur following the implementation of regenerative practices. The regenerative practices we focused on in Kenya include continuous cover, conservation tillage, and nutrient management in bean, cereal, tree, and vegetable systems. Data were extracted from peer-reviewed literature published between 2015 and 2020 with experimental field sites located in Kenya. Our dataset includes all response variables reported in each paper where there are isolated comparisons of a conservation practice (e.g. weed density following intercropping and monocropping). With this approach, we were able to capture the state-of-knowledge for a wide diversity of response variables and identify where we lack knowledge.
DOI: 10.5281/zenodo.6338520
title: Temperature effect on non-Darcian flow in low-permeability porous media

description: This dataset includes the measured threshold gradients and permeabilities of low permeability porous at 3 temperatures. The experiment is designed to reveal the temperature effects on the non-Darcian flow in low permeability porous media.
DOI: 10.5281/zenodo.6338475
title: Dublin's Corrected Mean Sea Level (1938-2016)

description: These datasets have been created and published to accompany the paper "A newly reconciled data set for identifying sea level rise and variability in Dublin Bay" by Shoari Nejad et al 2021. Filename format: &lt;dataset_name&gt;_dublin_&lt;variable_names&gt;_&lt;startyear&gt;_to_&lt;endyear&gt;.csv. Time and date variables are described using standard names: Year, Month, Day, Hour, Minute, Date (dd/mm/yyyy). All times are UTC. Sea level variables are described in the format &lt;variable_name&gt;_&lt;unit&gt;_&lt;datum&gt;. Ordnance Datum Malin (ODM) is used with geoid model OSGM15. LAT is 2.599 m below ODM for Dublin Port. None of the datasets is adjusted for atmospheric effects.
DOI: 10.5281/zenodo.5517753
title: Dublin's Corrected Mean Sea Level (1938-2016)

description: These datasets have been created and published to accompany the paper "A newly reconciled data set for identifying sea level rise and variability in Dublin Bay" by Shoari Nejad et al 2021. Filename format: &lt;dataset_name&gt;_dublin_&lt;variable_names&gt;_&lt;startyear&gt;_to_&lt;endyear&gt;.csv. Time and date variables are described using standard names: Year, Month, Day, Hour, Minute, Date (dd/mm/yyyy). All times are UTC. Sea level variables are described in the format &lt;variable_name&gt;_&lt;unit&gt;_&lt;datum&gt;. Ordnance Datum Malin (ODM) is used with geoid model OSGM15. LAT is 2.599 m below ODM for Dublin Port. None of the datasets is adjusted for atmospheric effects.
DOI: 10.5281/zenodo.6326559
title: Low-cost prediction of molecular and transition state partition functions via machine learning

description: This dataset contains the vibrational, rotational, translational, and electronic partition functions for 35,883 organic chemistry molecular structures taken from the Grambow et. al dataset [1]. It was used to train ML deep neural networks to predict unknown transition state partition functions as well as partition functions for known molecular structures [2] The partition functions were computed at temperatures in the range T= [50, 2000] K with the rigid rotor, rigid body, harmonic oscillator approximations. Reactions involve no more than 7 C, N, or O atoms. Frequencies for the vibrational partition functions were taken from [1] where they were computed with DFT at the ωB97X-D3/def2-TZVP level of theory. For the rotational partition function, symmetry numbers were obtained by evaluating proper and improper invariant rotations of the structures. We note that structures involving two molecules were not separated: vibrational frequencies and symmetry numbers were computed for the aggregate structure. For each reaction, partition functions were calculated at 50 temperatures sampled uniformly from the inverse temperature range 1/T = [1/2000, 1/50] K<sup>-1</sup>. This corresponds to 11,961 reactions, 35,883 total structures, and 1,794,150 total partition function examples. The file Partition_Functions.tar.gz contains directories entitled “rxnXXXXXX” where XXXXXX is a reaction number identifier. Each contain three files “rXXXXXX.csv”, “pXXXXXX.csv”, “tsXXXXXX.csv” corresponding to data from the reactant (“r”), product (“p”), and transition state (“ts”) for reaction XXXXXX. Note that the directory structure and the reaction identifiers are the same as used in the original structure dataset by Grambow et al. and the corresponding structures can easily be extracted from that dataset. Each comma separated value (csv) file contains 50 rows and the following columns: <strong> Column label</strong> <strong> Values</strong> T [K] Temperature qpart_ele [unitless] Electronic partition function qpart_trans [unitless] Translational partition function qpart_vib [unitless] Vibrational partition function qpart_rot [unitless] Rotational partition function qpart [unitless] Partition function log_qpart_trans [unitless] Natural logarithm of translational partition function log_qpart_rot [unitless] Natural logarithm of rotational partition function log_qpart_vib [unitless] Natural logarithm of vibration partition function log_qpart [unitless] Natural logarithm of partition function [1] C. A. Grambow, L. Pattanaik, and W. H. Green, “Reactants, products, and transition states of elementary chemical reactions based on quantum chemistry,” <em>Sci. Data</em>, <strong>7</strong>:1–8, 2020. [2] Komp, E. Valleau, S. “Low-cost prediction of molecular and transition state partition functions via machine learning”, arXiv:, 2022.
DOI: 10.6084/m9.figshare.19324121
title: Codebook - Micklos and Barone Survey Data.pdf

description: Codebook for "1998 and 2018 Combined Data - PUBLIC.csv".
DOI: 10.48597/s6w2-mbs8
title: Measurement of OC/EC at Melpitz

description: Measurement of OC/EC at Melpitz