cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3475975
title: LFM User Groups

description: This is a subset of the LFM-1b LastFM dataset (http://www.cp.jku.at/datasets/LFM-1b/), which consists of the listening events (user_events.txt) for three user groups: 1,000 low-mainstream users (low_main_users.txt), 1,000 medium-mainstream users (medium_main_users.txt) and 1,000 high-mainstream users (high_main_users.txt). The mainstreaminess definition used here is the "M_global_R_APC" one from this paper: https://arxiv.org/ftp/arxiv/papers/1912/1912.06933.pdf The format of the three user files is "user , mainstreaminess_value" The format of the user-events file is "user \t artist \t album \t track \t timestamp" Example Python-code for analyzing this dataset as well as more information on the user groups based on mainstreaminess can be found here: https://github.com/domkowald/LFM_processing
DOI: 10.5281/zenodo.3517208
title: Data for the publication "Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer"

description: This dataset encompasses all data needed to reproduce the analyses presented in Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer You can also check the GitHub repository
DOI: 10.5281/zenodo.8422
title: Journal Recommendations For 4 Abstracts

description: Journal recommendations prepared on results from JANE and whichjournal.com based on 4 abstracts from the disciplines dentistry, psychology and aerosol chemistry.

The factsheets with data for each journal should help to decide for the best journal.

The data is provided as spreadsheet (xls) and factsheet (pdf).
DOI: 10.5281/zenodo.2363737
title: Covariates dataset for "Temporal harmonization of a national dataset for spatial prediction of soil organic carbon"

description: Environmental covariates used to predict the spatial distribution of soil organic carbon for the article 'Temporal harmonization of a national dataset for spatial prediction of soil organic carbon'
DOI: 10.5281/zenodo.3262390
title: Basic scientometric characteristics of ICCE

description: EXLS-file with basic scientometric characteristics of the<br>
International Commission for Continental Erosion (ICCE)
description: Non
DOI: 10.5281/zenodo.151190
title: Understanding in vivo Models of Depression: A Systematic Review - Records of Full Search

description: This Zenodo record outlines the full list of journal articles retrieved from the search string as well as a a subset of articles that have been screened by two independent human reviews and reconciled by a third independent screener. 

 

We carried out a search of 2 online databases for studies reporting animal models of depression. This search, carried out in May 2016, identified 70,365 unique publications (File: Depression-Dataset-SLIM-AllRecords.txt )

 

Two independent investigators have, to date, screened 5749 of these publications for inclusion or exclusion and these publications form the dataset for this study (File: Updated-training-data.txt  ). 

Several text-mining approaches will be developed for this depression literature search using the results from manual screening to train the machine, where machine-learning software set rules to automatically define each publication as included or excluded without the need for human screening. In this project, we seek to identify the best performing machine learning algorithm for this depression literature search. Performance is measured on sensitivity, specificity, and precision. 

 

Column Names in Datasets: 

Depression-Dataset-SLIM-AllRecords.txt  -  ID, Author, Year, Title, Journal, Volume, Issue, Pages, Abstract, URL, SetNumber

Depression-Dataset-SLIM-DevelopmentTrainingSet.txt  -  ID, Author, Year, Title, Journal, Volume, Issue, Pages, Abstract, URL, Incl(1)/Excl(0)

Updated-training-data.txt  -  ID, Author, Year, Title, Journal, Volume, Issue, Pages, Abstract, URL, Incl(1)/Excl(0)
description: Funded by MRC/Wellcome Trust (Grant Number:  MR/N015665/1)
DOI: 10.5281/zenodo.4049958
title: A fine-resolution soil moisture dataset for China in 2002~2018

description: The SMC dataset present a high spatial resolution monthly soil moisture raster dataset over China, spanning form the year 2002 to 2018, and the data are presented over a grid with 0.05°. The data set consists of satellite-based AMSR-E/2 and SMOS SM, and base on a spatially weighted decomposition (SWD) model, using the TVDI calculated from MODIS LST/NDVI data as a weighting factor, downscaling to obtain fine spatial resolution SM. Overall, new datasets were strongly correlated with in-situ observations (correlation coefficient <em>R</em>: 0.82, 0.88, and 0.9 and unbiased root mean square error (ubRMSE): 0.051, 0.048 and 0.042 m<sup>3</sup>m<sup>-3 </sup>on monthly, seasonal and annual scales, respectively). The dataset unprecedentedly long-term high spatial resolution offers important advantages for drought monitoring and its assessment at district and river basin level climate change in China.
DOI: 10.5281/zenodo.6406749
title: Electrification of Transportation Means a Lot More Than a Lot More Electric Vehicles

description: Energy use in 2050 from the Annual Energy Outlook 2021 published by the U.S. Department of Energy's Energy Information Agency.
DOI: 10.5281/zenodo.56676
title: The MMCO-EOT conundrum: same benthic δ18O, different CO2; data supplement

description: Data supplement to "The MMCO-EOT conundrum: same benthic δ18O, different CO2" by Stap et al. (2016) in Paleoceanography
DOI: 10.5281/zenodo.44406
title: Clinical Usefulness Of Capnographic Monitoring For Feeding Tube Insertion In Critically Ill Patients: Retrospective Cohort Study

description: <strong>Background</strong>: It is not rare for a small-bore feeding tube to be inserted incorrectly into the respiratory system in critically ill patients. Thus, monitoring is necessary to prevent respiratory malplacement of the tube. We investigated the utility of capnographic monitoring for the prevention of respiratory complications due to feeding tube mispositioning in critically ill patients.

<strong>Methods:</strong> This study is a pre- and post-intervention study, including a total of 445 feeding tube placements events that were retrospectively studied in the medical and surgical intensive care units of the Samsung Medical Center. We compared the outcomes between the time periods before and after the capnographic monitoring and respiratory complications.

<strong>Results:</strong> Feeding tubes were inserted in 275 cases without capnographic monitoring. Capnographic monitoring was performed in 170 cases. Sixteen patients (4%) had respiratory complications in total tube placements. Tracheal insertion was in 11 (2%) patients and pneumothorax in 5 (1%) patients. Fourteen cases of respiratory complications were detected in control group (14/275, 5%, ten tracheal insertions and four pneumothoraxes). Two cases of respiratory complications were detected in the capnographic monitoring group (2/170, 1%, one tracheal insertions and one pneumothorax). Respiratory complications were less detected in capnographic monitoring group than control group.

<strong>Conclusions:</strong> Capnographic monitoring is simple, easy to learn, and may be useful to prevent respiratory complication during feeding tube insertion in critically ill patients.
DOI: 10.5281/zenodo.4446167
title: Monthly aerosol emissions and GHG concentration projections from 2020-2025: modified SSP2-4.5 to account for COVID-19 impacts on sector activity

description: This repository holds the netcdf files for emissions and concentrations projected by the scenario SSP2-4.5, from the Scenario4MIPs database (https://esgf-node.llnl.gov/search/input4mips/), modified by the country and sector activity levels associated with lockdown, projected out for 5 years after 2020. The details of these activity estimates are available from https://github.com/Priestley-Centre/COVID19_emissions. The methodology behind these calculations is based on https://github.com/Rlamboll/modify_COVID19_netCDF_Emissions/tree/endof2020, a slight modification of the approach used in https://zenodo.org/record/3947917#.XxR_qyhKhPZ to have a different timeframe. Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) http://constrain-eu.org/
description: This database is labelled as v5.0 by correspondence to the family of databases around https://zenodo.org/record/3957826. It uses historical data available until the end of 2020.
description: {"references": ["10.5281/zenodo.3957826"]}
DOI: 10.5281/zenodo.4617643
title: Dataset for lake stratification manuscript

description: Dataset for in-situ lake stratification phenology of Lake Tahoe, Geneva, Vattern, and Washington
DOI: 10.5281/zenodo.3942294
title: ODP Leg 123, Hole 766A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: ODP Leg 123: Argo Abyssal Plain / Exmouth Plateau
DOI: 10.5281/zenodo.1206983
title: Selected Co2 Data From Berkeley Atmospheric Co2 Observation Network

description: Selected CO<sub>2</sub>data from BErkeley Atmospheric CO<sub>2</sub> Observation Network (BEACO<sub>2</sub>N) for use in the characterization of the heterogeneity of greenhouse gas concentrations around the San Francisco Bay Area and the constraint of CO<sub>2 </sub>emissions from mobile sources.
DOI: 10.5517/ccdc.csd.cc2c86hc
title: CCDC 2182632: Experimental Crystal Structure Determination

description: Related Article: Dan‐Ni Yan, Li‐Xuan Cai, Shao‐Jun Hu, Yan‐Fang Zhou, Li‐Peng Zhou, Qing‐Fu Sun|2022|Angew.Chem.,Int.Ed.|61|e202209879|doi:10.1002/anie.202209879
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.cc2c86jd
title: CCDC 2182633: Experimental Crystal Structure Determination

description: Related Article: Dan‐Ni Yan, Li‐Xuan Cai, Shao‐Jun Hu, Yan‐Fang Zhou, Li‐Peng Zhou, Qing‐Fu Sun|2022|Angew.Chem.,Int.Ed.|61|e202209879|doi:10.1002/anie.202209879
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.cc2c86kf
title: CCDC 2182634: Experimental Crystal Structure Determination

description: Related Article: Dan‐Ni Yan, Li‐Xuan Cai, Shao‐Jun Hu, Yan‐Fang Zhou, Li‐Peng Zhou, Qing‐Fu Sun|2022|Angew.Chem.,Int.Ed.|61|e202209879|doi:10.1002/anie.202209879
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.cc2c86lg
title: CCDC 2182635: Experimental Crystal Structure Determination

description: Related Article: Dan‐Ni Yan, Li‐Xuan Cai, Shao‐Jun Hu, Yan‐Fang Zhou, Li‐Peng Zhou, Qing‐Fu Sun|2022|Angew.Chem.,Int.Ed.|61|e202209879|doi:10.1002/anie.202209879
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.cc2c86mh
title: CCDC 2182636: Experimental Crystal Structure Determination

description: Related Article: Dan‐Ni Yan, Li‐Xuan Cai, Shao‐Jun Hu, Yan‐Fang Zhou, Li‐Peng Zhou, Qing‐Fu Sun|2022|Angew.Chem.,Int.Ed.|61|e202209879|doi:10.1002/anie.202209879
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.cc2c86nj
title: CCDC 2182637: Experimental Crystal Structure Determination

description: Related Article: Dan‐Ni Yan, Li‐Xuan Cai, Shao‐Jun Hu, Yan‐Fang Zhou, Li‐Peng Zhou, Qing‐Fu Sun|2022|Angew.Chem.,Int.Ed.|61|e202209879|doi:10.1002/anie.202209879
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.cc2c86pk
title: CCDC 2182638: Experimental Crystal Structure Determination

description: Related Article: Dan‐Ni Yan, Li‐Xuan Cai, Shao‐Jun Hu, Yan‐Fang Zhou, Li‐Peng Zhou, Qing‐Fu Sun|2022|Angew.Chem.,Int.Ed.|61|e202209879|doi:10.1002/anie.202209879
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: 10.5281/zenodo.8231238
title: Photometry of outer Solar System objects from the Dark Energy Survey I: photometric methods, light curve distributions and trans-Neptunian binaries - data release

description: This repository contains the full data release for the 814 outer Solar System objects found in the Dark Energy Survey. A full description of the object search is described in Bernardinelli et al (2022), and a full description of the photometric processing is described in Bernardinelli et al (2023). If you use these files, we ask you to cite the corresponding papers. The FITS table `y6_des_tnos_color.fits` contains both the orbital elements and the colors for each object. The full description of the orbital element information is given in Table 3 of Bernardinelli et al (2022). In addition to these, the table also includes the mean absolute magnitudes in each band, as well as mean \((g-r, r-i, r-z)\) colors and their corresponding covariance matrix, and the 68% confidence interval for the lightcurve amplitude. Inside the `fluxes` directory, the complete photometric record for each object is included in a `hdf5` file (for each object), and the MCMC chains for their fluxes and LCAs. The three Jupyter Notebooks included in the `notebooks` directory explains the columns and how to use these files to reproduce the results of the paper. Inside this directory there are also additional files needed to reproduce the code. The `binary` directory has the MCMC chains for their mutual orbits (in `.npy` files), as well as the astrometric and photometric record for the binary measurements. Another `README` file is included in that directory with a detailed explanation.
description: If you use this software, please cite it as below.
DOI: 10.5281/zenodo.8231237
title: Photometry of outer Solar System objects from the Dark Energy Survey I: photometric methods, light curve distributions and trans-Neptunian binaries - data release

description: This repository contains the full data release for the 814 outer Solar System objects found in the Dark Energy Survey. A full description of the object search is described in Bernardinelli et al (2022), and a full description of the photometric processing is described in Bernardinelli et al (2023). If you use these files, we ask you to cite the corresponding papers. The FITS table `y6_des_tnos_color.fits` contains both the orbital elements and the colors for each object. The full description of the orbital element information is given in Table 3 of Bernardinelli et al (2022). In addition to these, the table also includes the mean absolute magnitudes in each band, as well as mean \((g-r, r-i, r-z)\) colors and their corresponding covariance matrix, and the 68% confidence interval for the lightcurve amplitude. Inside the `fluxes` directory, the complete photometric record for each object is included in a `hdf5` file (for each object), and the MCMC chains for their fluxes and LCAs. The three Jupyter Notebooks included in the `notebooks` directory explains the columns and how to use these files to reproduce the results of the paper. Inside this directory there are also additional files needed to reproduce the code. The `binary` directory has the MCMC chains for their mutual orbits (in `.npy` files), as well as the astrometric and photometric record for the binary measurements. Another `README` file is included in that directory with a detailed explanation.
description: If you use this software, please cite it as below.
DOI: 10.25345/c5251fw3q
title: MassIVE MSV000092808 - CD38 regulates ovarian function and fecundity via NAD metabolism
title: Mammalian female reproductive lifespan is typically significantly shorter than life expectancy and is associated with a decrease in ovarian NAD levels. However, the mechanisms underlying this loss of ovarian NAD are unclear. Here, we show that CD38, a NAD consuming enzyme, is expressed in the ovarian extrafollicular space, primarily in immune cells, and its levels increase with reproductive age. Reproductively young mice lacking CD38 exhibit larger primordial follicle pools, elevated ovarian NAD levels, and increased fecundity relative to wild type controls. This larger ovarian reserve results from a prolonged window of follicle formation during early development. However, the beneficial effect of CD38 loss on reproductive function is not maintained at advanced age. Our results demonstrate a novel role of CD38 in regulating ovarian NAD metabolism and establishing the ovarian reserve, a critical process that dictates a female reproductive lifespan.
DOI: 10.5281/zenodo.8306144
title: Supporting reference for Miniature Battery-free Bioelectronics

description: Tables and plots for readers to understand the datasets used in the review paper
DOI: 10.5281/zenodo.8306145
title: Supporting reference for Miniature Battery-free Bioelectronics

description: Tables and plots for readers to understand the datasets used in the review paper
DOI: 10.5281/zenodo.8310306
title: Supporting reference for Miniature Battery-free Bioelectronics

description: Tables and plots for readers to understand the datasets used in the review paper
DOI: 10.5281/zenodo.8310407
title: Brainseg of Colombian Adolescents Offenders

description: # Brain Structures Segmentation Dataset ## Overview This dataset focuses on the segmentation of brain structures, particularly distinguishing between two groups. It provides detailed metrics on various brain regions and structures for each user. The users in this dataset are categorized into two distinct groups and are primarily of Colombian Adolescent Offenders. ## Dataset Details - **users**: Unique identifier for each participant.<br> - **group**: Categorization of the participants into one of two groups.<br> - **age**: Age of the participants.<br> - **etiv**: Estimated Total Intracranial Volume. ### Brain Regions Metrics: - Cerebral White Matter (Both Left and Right)<br> - Lateral Ventricle (Both Left and Right)<br> - Inferior Lateral Ventricle (Both Left and Right)<br> - Cerebellum White Matter (Both Left and Right)<br> - Cerebellum Cortex (Both Left and Right)<br> - Thalamus (Both Left and Right)<br> - Caudate (Both Left and Right)<br> - Putamen (Both Left and Right)<br> - Pallidum (Both Left and Right)<br> - 3rd Ventricle<br> - 4th Ventricle<br> - Brain Stem<br> - Hippocampus (Both Left and Right)<br> - Amygdala (Both Left and Right)<br> - Cerebrospinal Fluid (CSF)<br> - Accumbens area (Both Left and Right)<br> - Ventral Diencephalon (Both Left and Right)<br> - Choroid Plexus (Both Left and Right)<br> - WM Hypointensities ### Cortical Metrics: (For both left hemisphere - `lh` and right hemisphere - `rh`) - Caudal Anterior Cingulate<br> - Caudal Middle Frontal<br> - Cuneus<br> - Entorhinal<br> - Fusiform<br> - Inferior Parietal<br> - Inferior Temporal<br> - Isthmus Cingulate<br> - Lateral Occipital<br> - Lateral Orbitofrontal<br> - Lingual<br> - Medial Orbitofrontal<br> - Middle Temporal<br> - Parahippocampal<br> - Paracentral<br> - Pars Opercularis<br> - Pars Orbitalis<br> - Pars Triangularis<br> - Pericalcarine<br> - Postcentral<br> - Posterior Cingulate<br> - Precentral<br> - Precuneus<br> - Rostral Anterior Cingulate<br> - Rostral Middle Frontal<br> - Superior Frontal<br> - Superior Parietal<br> - Superior Temporal<br> - Supramarginal<br> - Transverse Temporal<br> - Insula ## Usage This dataset is intended for research purposes, particularly in the field of neuroscience, behavioral studies, and any relevant interdisciplinary studies focusing on brain structure variations among adolescent offenders. ## License Please ensure to cite this dataset when used for research or academic purposes. The licensing details are attached to the dataset package.<br> Sánchez-Torres, G., Leal, N., & Pino, M. (XXXX). Data-Driven Analysis of MRI Scans: Exploring Brain Structure Variations in Colombian Adolescent Offenders. Data - MDPI. Volume(XX), pages XX-XX.