cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c9kjs
title: CCDC 2183935: Experimental Crystal Structure Determination

description: Related Article: Dong Yan, Yao Ma, Ru-Ling Tang, Liang Hu, Fei-Fei Mao, Jie Zheng, Xiu-Du Zhang, Shu-Fang Li|2022|J.Solid State Chem.|315|123530|doi:10.1016/j.jssc.2022.123530
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cb5zw
title: CCDC 2184538: Experimental Crystal Structure Determination

description: Related Article: Paweł Skowronek, Natalia Prusinowska, Mateusz Bardziński, Agnieszka Janiak|2022|Org.Biomol.Chem.|20|7216|doi:10.1039/D2OB01226J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34943/39fae6e2-b261-4e8d-aa74-46ef71c2e050
title: ODP 1026 Broadband Seismometer Deployed 2014-05-22

description: The Guralp CMG-IT Broadband Seismometer 2216 was deployed on 2014-05-22 at ODP 1026. ODP 1026 is a borehole site used to pinpoint an area within Cascadia. This device is a Broadband Seismometer. Broadband Seismometers measure seismic waves over a broad frequency range depending on the device (e.g. 0.00278 Hz - 250 Hz). A broadband seismometer facilitates measurement of seismic events in the widest frequency band possible. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5517/ccdc.csd.cc2cb60y
title: CCDC 2184539: Experimental Crystal Structure Determination

description: Related Article: Paweł Skowronek, Natalia Prusinowska, Mateusz Bardziński, Agnieszka Janiak|2022|Org.Biomol.Chem.|20|7216|doi:10.1039/D2OB01226J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cb61z
title: CCDC 2184540: Experimental Crystal Structure Determination

description: Related Article: Paweł Skowronek, Natalia Prusinowska, Mateusz Bardziński, Agnieszka Janiak|2022|Org.Biomol.Chem.|20|7216|doi:10.1039/D2OB01226J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cbhs0
title: CCDC 2184842: Experimental Crystal Structure Determination

description: Related Article: Hong Zhao, Zheng-Hua Du, Chen-Yu Mu, Gang Li|2022|J.Solid State Chem.|315|123550|doi:10.1016/j.jssc.2022.123550
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cbj7h
title: CCDC 2184856: Experimental Crystal Structure Determination

description: Related Article: Hong Zhao, Zheng-Hua Du, Chen-Yu Mu, Gang Li|2022|J.Solid State Chem.|315|123550|doi:10.1016/j.jssc.2022.123550
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.22002/d1.1263
title: goodreads-book-descriptions

description: The first three sentences of book description from Goodreads' best ever list, with genre labels. Source credit: https://www.kaggle.com/meetnaren/goodreads-best-books
description: <br>Cite this record as:<br>Ren, H. (2019). <i>goodreads-book-descriptions</i> (Version 1.0) [Data set]. CaltechDATA. https://doi.org/10.22002/d1.1263<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 20<br>Unique Downloads: 1<br> between July 29, 2019 and September 04, 2019<br>More info on how stats are collected<br>
DOI: 10.22002/d1.1381
title: image

description: PBMC_test1
description: <br>Cite this record as:<br>Yujing. (2020). <i>image</i> [Data set]. CaltechDATA. https://doi.org/10.22002/D1.1381<br> or choose a different citation style.<br>Download Citation<br>
description: <br>Unique Views: 7<br>Unique Downloads: 0<br> between March 10, 2020 and June 02, 2020<br>More info on how stats are collected<br>
DOI: 10.22002/d1.8965
title: Data for "Gut microbiota suppress compulsive consumption of palatable food in mice"

description: This dataset contains the experimental data used to generate the main and supplementary figures in "Gut microbiota suppress compulsive consumption of palatable food in mice"
description: <br>Cite this record as:<br>Ousey, J., Boktor, J., & Mazmanian, S. (2022). <i>Data for "Gut microbiota suppress compulsive consumption of palatable food in mice"</i> (Version 1.0) [Data set]. CaltechDATA. https://doi.org/10.22002/D1.8965<br> or choose a different citation style.<br>Download Citation<br>
DOI: 10.22002/d1.20062
title: Dataset: Drosophila yakuba – Tsc1

description: DyakCAF1_Tsc1.FNA
description: <br>Cite this record as:<br>Chinmay P. Rele. (2022). <i>Dataset: Drosophila yakuba – Tsc1</i> (Version 1.0) [Data set]. Unknown. https://doi.org/10.22002/D1.20062<br> or choose a different citation style.<br>Download Citation<br>
DOI: 10.22002/d1.20063
title: Dataset: Genetic mapping of Uba3O.2.2, a pupal lethal mutation in Drosophila melanogaster

description: Complementation mapping results
description: <br>Cite this record as:<br>Bieser, K. L. (2022). <i>Dataset: Genetic mapping of Uba3O.2.2, a pupal lethal mutation in Drosophila melanogaster</i> (Version 1.0) [Data set]. Unknown. https://doi.org/10.22002/D1.20063<br> or choose a different citation style.<br>Download Citation<br>
DOI: 10.22002/d1.20064
title: Dataset: Genetic mapping of Uba3O.2.2, a pupal lethal mutation in Drosophila melanogaster

description: Complementation mapping results
description: <br>Cite this record as:<br>Bieser, K. L. (2022). <i>Dataset: Genetic mapping of Uba3O.2.2, a pupal lethal mutation in Drosophila melanogaster</i> (Version 1.0) [Data set]. Unknown. https://doi.org/10.22002/D1.20064<br> or choose a different citation style.<br>Download Citation<br>
DOI: 10.22002/d1.20079
title: Dataset: unc-119 mutants have an increased fungal spore adhesion that is not rescued by Cb-unc-119

description: Corrected file of Cell- and Tissue Volumes, including Syncytia and Ploidy. This table provides all the primary data obtained from measuring cell and tissue volumes of the Virtual Worm and the information collected from the literature on ploidy and syncytia. Note: this Extended Data file should be used instead of 10.22002/D1.1835, which was published 12/31/2020.
description: <br>Cite this record as:<br>Pujol, N. (2022). <i>Dataset: unc-119 mutants have an increased fungal spore adhesion that is not rescued by Cb-unc-119</i> (Version 1.0) [Data set]. Unknown. https://doi.org/10.22002/D1.20079<br> or choose a different citation style.<br>Download Citation<br>
DOI: 10.22002/d1.20156
title: Dataset: Long-read sequencing infers a mechanism for copy number variation of template for alternative lengthening of telomeres in a wild C. elegans strain

description: Extended data 2: Six raw reads covering the 6-copy TALT array of DL226
description: <br>Cite this record as:<br>Kim, J. (2022). <i>Dataset: Long-read sequencing infers a mechanism for copy number variation of template for alternative lengthening of telomeres in a wild C. elegans strain</i> (Version 1.0) [Data set]. Unknown. https://doi.org/10.22002/D1.20156<br> or choose a different citation style.<br>Download Citation<br>
DOI: 10.22002/d1.20152
title: Dataset: Systematic identification of tRNA genes in Drosophila melanogaster

description: Cytosolic tRNA genes
description: <br>Cite this record as:<br>Marygold, S. J. (2022). <i>Dataset: Systematic identification of tRNA genes in Drosophila melanogaster</i> (Version 1.0) [Data set]. Unknown. https://doi.org/10.22002/D1.20152<br> or choose a different citation style.<br>Download Citation<br>
DOI: 10.22002/d1.20153
title: Dataset: Systematic identification of tRNA genes in Drosophila melanogaster

description: Mitochondrial tRNA genes
description: <br>Cite this record as:<br>Marygold, S. J. (2022). <i>Dataset: Systematic identification of tRNA genes in Drosophila melanogaster</i> (Version 1.0) [Data set]. Unknown. https://doi.org/10.22002/D1.20153<br> or choose a different citation style.<br>Download Citation<br>
DOI: 10.22002/d1.20204
title: Dataset: Drosophila eugracilis – Akt

description: Panel Review Decision and Comments
description: <br>Cite this record as:<br>Chinmay P. Rele. (2022). <i>Dataset: Drosophila eugracilis – Akt</i> (Version 1.0) [Data set]. Unknown. https://doi.org/10.22002/D1.20204<br> or choose a different citation style.<br>Download Citation<br>
DOI: 10.7945/74qa-e577
title: Monarch overwintering abundance and geomagnetic parameters 2004-2018
DOI: 10.6084/m9.figshare.20043452
title: NWS_MAGs

description: <strong>Metagenomic Assembled Genomes for analysis of NWS.</strong> <br> The repository holds .fasta file for each MAG used for the analysis and information about each MAG, like length, completion/redundancy, and taxonomy. <br>
DOI: 10.6084/m9.figshare.20043452.v1
title: NWS_MAGs

description: <strong>Metagenomic Assembled Genomes for analysis of NWS.</strong> <br> The repository holds .fasta file for each MAG used for the analysis and information about each MAG, like length, completion/redundancy, and taxonomy. <br>
DOI: 10.6084/m9.figshare.20043419
title: JAR_Norwegian_wild_Salmon_2022_Supplementary

description: <strong>Background</strong> The gut microbiota is shaped by a blend of environmental and evolutionary processes within the intestinal environment of its host. How these evolutionary processes occur in wild animals remain largely unexploited, due to the high complexity of the environment and microbial communities. Therefore, new wild model organisms with low complex microbiota and known population structures could be key to investigate co-evolution between the microbiota and their host. <strong>Results</strong> We present the first metagenomic derived genome catalogue of gut microbiota from wild Atlantic salmon (<em>Salmo salar</em>). Our data reveals a low complexity and were mainly dominated by the salmonid related <em>Mycoplasma</em>. Further, our results revealed a strong selection pressure on the gut microbiota by Atlantic salmon. Interestingly, we found a high concordance between the population structure of Atlantic salmon and the nucleotide variability of <em>Mycoplasma</em> in accordance with expectations from co-evolution between host and microbiota. <strong>Conclusion</strong> Investigations of the coevolution of host and microbiota in Atlantic salmon will lead to a higher understanding of the interactions from both actors. It is clear from our results that the microbiota from Atlantic salmon has evolved to the population structure through a close relationship between its genome and gut microbiome, showing that Atlantic salmon can be a suitable model for studying host-microbiome co-evolution.
DOI: 10.6084/m9.figshare.20043419.v1
title: JAR_Norwegian_wild_Salmon_2022_Supplementary

description: <strong>Background</strong> The gut microbiota is shaped by a blend of environmental and evolutionary processes within the intestinal environment of its host. How these evolutionary processes occur in wild animals remain largely unexploited, due to the high complexity of the environment and microbial communities. Therefore, new wild model organisms with low complex microbiota and known population structures could be key to investigate co-evolution between the microbiota and their host. <strong>Results</strong> We present the first metagenomic derived genome catalogue of gut microbiota from wild Atlantic salmon (<em>Salmo salar</em>). Our data reveals a low complexity and were mainly dominated by the salmonid related <em>Mycoplasma</em>. Further, our results revealed a strong selection pressure on the gut microbiota by Atlantic salmon. Interestingly, we found a high concordance between the population structure of Atlantic salmon and the nucleotide variability of <em>Mycoplasma</em> in accordance with expectations from co-evolution between host and microbiota. <strong>Conclusion</strong> Investigations of the coevolution of host and microbiota in Atlantic salmon will lead to a higher understanding of the interactions from both actors. It is clear from our results that the microbiota from Atlantic salmon has evolved to the population structure through a close relationship between its genome and gut microbiome, showing that Atlantic salmon can be a suitable model for studying host-microbiome co-evolution.
DOI: 10.6084/m9.figshare.21183310
title: STRONG ETHANOL- AND FREQUENCY-DEPENDENT ECOLOGICAL INTERACTIONS IN A COMMUNITY OF WINE-FERMENTING YEASTS

description: 1 – All pairwise coculture outcomes in gewürztraminer and the pairwise competitive scores calculated from those outcomes. The number represents the final fraction of the species in the first column when co-cultured as the initially dominant species (99% of cells) with the species in the second column. Each outcome is replicated across three different experiments. <br> 2 – All five-species co-culture results in gewürztraminer and merlot, including raw counts and percent abundance data. DF is the dilution factor used before plating (i.e. DF 4 means the community was diluted by a factor of 10-4 before plating). <br> 3 – Growth rate and carrying capacity data for each species at each ethanol percentage alongside the pairwise and five-species competitive scores.
DOI: 10.17909/a8wa-vc91
title: CUTE Flux Calibration Data
DOI: 10.34740/kaggle/dsv/4233825
title: Printed Digits Dataset
DOI: 10.5281/zenodo.7101219
title: Dataset of reaching measures of auditory peripersonal space

description: Data from a auditory reaching experiment in participants with active, guided and no training.
DOI: 10.5281/zenodo.7101218
title: Dataset of reaching measures of auditory peripersonal space

description: Data from a auditory reaching experiment in participants with active, guided and no training.
DOI: 10.3886/e113158v1-127700
title: Replication data for: Aggregate Recruiting Intensity

description: We develop an equilibrium model of firm dynamics with random search in the labor market where hiring firms exert recruiting effort by spending resources to fill vacancies faster. Consistent with microevidence, fast-growing firms invest more in recruiting activities and achieve higher job-filling rates. These hiring decisions of firms aggregate into an index of economy-wide recruiting intensity. We study how aggregate shocks transmit to recruiting intensity, and whether this channel can account for the dynamics of aggregate matching efficiency during the Great Recession. Productivity and financial shocks lead to sizable procyclical fluctuations in matching efficiency through recruiting effort. Quantitatively, the main mechanism is that firms attain their employment targets by adjusting their recruiting effort in response to movements in labor market slackness.
DOI: 10.13026/yj38-pn40
title: MIMIC-III Clinical Database CareVue subset

description: MIMIC-III is a database of critically ill patients admitted to an intensive
care unit (ICU) at the Beth Israel Deaconess Medical Center (BIDMC) in Boston,
MA. MIMIC-III has seen broad use, and was updated with the release of MIMIC-
IV. MIMIC-IV contains more contemporaneous stays, higher granularity data, and
expanded domains of information. To maximize the sample size of MIMIC-IV, the
database overlaps with MIMIC-III, and specifically both databases contain the
same admissions which occurred between 2008 - 2012. This overlap complicates
analyses of the two databases simultaneously. Here we provide a subset of
MIMIC-III containing patients who are not in MIMIC-IV. The goal of this
project is to simplify the combination of MIMIC-III with MIMIC-IV.
DOI: 10.21227/8bqw-gy72
title: Experimental Machine Learning Approach for Optical Turbulence and FSO Outage Performance Modeling 

description: A laser beam propagating in the free space suffers numerous degradation effects. In the context of free space optical communications (FSOCs), this results in reduced link’s availability. This study provides a comprehensive comparison between six machine learning (ML) regression algorithms for modeling the refractive index structure parameter Cn^2. A single neural network (ANN), a random forest (RF), a decision tree (DT), a gradient boosting regressor (GBR), a k-nearest neighbors (KNN) and a deep neural network (DNN) model are applied to estimate Cn^2from experimentally measured macroscopic meteorological parameters obtained from several devices installed at the Naval Postgraduate School (NPS) campus over a period of 11 months. The data set was divided into four quarters and the performance of each algorithm in every quarter was determined based on the R2 and the RMSE metric. The second part of the study investigated the influence of atmospheric turbulence in the availability of a notional FSOC link, by calculating the outage probability (Pout) assuming a gamma gamma (GG) modeled turbulent channel. A threshold value of 99% availability was assumed for the link to be functional. A DNN classification algorithm was then developed to model the link status (On-Off) based on the previously mentioned meteorological parameters
DOI: 10.6084/m9.figshare.21183421.v1
title: metadata.nolachancea

description: srgargrr
DOI: 10.6084/m9.figshare.21183421
title: metadata.nolachancea

description: srgargrr
DOI: 10.6084/m9.figshare.21183415
title: PANGENOME_SUMMARY

description: Anvio PANGENOME database and summary.
DOI: 10.6084/m9.figshare.21183415.v1
title: PANGENOME_SUMMARY

description: Anvio PANGENOME database and summary.
DOI: 10.6084/m9.figshare.20352754
title: A Simple Algorithm for Exact Multinomial Tests

description: This work proposes a new method for computing acceptance regions of exact multinomial tests. From this an algorithm is derived, which finds exact <i>p</i>-values for tests of simple multinomial hypotheses. Using concepts from discrete convex analysis, the method is proven to be exact for various popular test statistics, including Pearson’s Chi-square and the log-likelihood ratio. The proposed algorithm improves greatly on the naive approach using full enumeration of the sample space. However, its use is limited to multinomial distributions with a small number of categories, as the runtime grows exponentially in the number of possible outcomes. The method is applied in a simulation study, and uses of multinomial tests in forecast evaluation are outlined. Additionally, properties of a test statistic using probability ordering, referred to as the “exact multinomial test” by some authors, are investigated and discussed. The algorithm is implemented in the accompanying R package ExactMultinom. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20352754.v1
title: A Simple Algorithm for Exact Multinomial Tests

description: This work proposes a new method for computing acceptance regions of exact multinomial tests. From this an algorithm is derived, which finds exact <i>p</i>-values for tests of simple multinomial hypotheses. Using concepts from discrete convex analysis, the method is proven to be exact for various popular test statistics, including Pearson’s Chi-square and the log-likelihood ratio. The proposed algorithm improves greatly on the naive approach using full enumeration of the sample space. However, its use is limited to multinomial distributions with a small number of categories, as the runtime grows exponentially in the number of possible outcomes. The method is applied in a simulation study, and uses of multinomial tests in forecast evaluation are outlined. Additionally, properties of a test statistic using probability ordering, referred to as the “exact multinomial test” by some authors, are investigated and discussed. The algorithm is implemented in the accompanying R package ExactMultinom. Supplementary materials for this article are available online.
DOI: 10.13026/w758-nw21
title: VitalDB, a high-fidelity multi-parameter vital signs database in surgical patients

description: In modern anesthesia, multiple medical devices are used simultaneously to
comprehensively monitor real-time vital signs to optimize patient care and
improve surgical outcomes. However, interpreting the dynamic changes of time-
series biosignals and their correlations is a difficult task even for
experienced anesthesiologists. Recent advanced machine learning technologies
have shown promising results in biosignal analysis, however, research and
development in this area is relatively slow due to the lack of biosignal
datasets for machine learning. The VitalDB (Vital Signs DataBase) is an open
dataset created specifically to facilitate machine learning studies related to
monitoring vital signs in surgical patients. This dataset contains high-
resolution multi-parameter data from 6,388 cases, including 486,451 waveform
and numeric data tracks of 196 intraoperative monitoring parameters, 73
perioperative clinical parameters, and 34 time-series laboratory result
parameters. All data is stored in the public cloud after anonymization. The
dataset can be freely accessed and analysed using application programming
interfaces and Python library. The VitalDB public dataset is expected to be a
valuable resource for biosignal research and development.
DOI: 10.5066/p9rgifcf
title: TDS concentration and load time series for Lower Colorado River Basin tributaries of the Colorado River from WRTDS modeling, 1938 to 2021

description: Total dissolved solids (TDS) in surface waters affect water quality and useability and are of particular concern in the Colorado River Basin. Estimates of current and past TDS concentration and flux in rivers support appropriate management and salinity control measures. In this study we estimated the total dissolved solid concentration and flux at 11 sites on tributaries of the Colorado River, starting as early as 1938 until 2021. Of these sites, eight were not affected by dams. For these we estimated daily and water year flow normalized TDS concentration and flux using the Weighted Regressions on Time Discharge and Season (WRTDS) water quality modeling framework. For the three sites situated below dams, we used flow-weighted concentrations to estimate water year mean TDS concentrations. Along with these estimates, we include information about the timing of construction, and capacity of dams in the Lower Colorado River Basin.
DOI: 10.6084/m9.figshare.16909126.v3
title: Tipping Points of Marine Phytoplankton to Multiple Environmental Stressors

description: Data for phytoplankton resistance model training and testing.