cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25jbvx
title: CCDC 2011709: Experimental Crystal Structure Determination

description: Related Article: Sujing Wang, Maria Cabrero-Antonino, Sergio Navalón, Chen-chen Cao, Antoine Tissot, Iurii Dovgaliuk, Jérôme Marrot, Charlotte Martineau-Corcos, Liang Yu, Hao Wang, William Shepard, Hermenegildo García, Christian Serre|2020|Cell Press: Chem|6|3409|doi:10.1016/j.chempr.2020.10.017
DOI: 10.5281/zenodo.4390440
title: Snow cover in the European Alps: Station observations of snow depth and depth of snowfall

description: Auxiliary files, code, and data for paper: Observed snow depth trends in the European Alps 1971 to 2019; currently submitted at The Cryosphere <strong>Auxiliary files:</strong> aux_paper.zip: Auxiliary figures to the paper (time series showing the consistency of averaging monthly mean snow depth of stations within 500 m elevation bins; times of seasonal snow depth and snow cover duration indices). aux_paper_crocus_comparison.zip: Time series comparing spatial statistical gap filling from paper to gap filling using snow depth assimilation into Crocus snow model (only for subset of stations in the French Alps) aux_paper_monthly_time_series.zip: Plots of monthly time series of snow depth, for each station. aux_paper_spatial_consistency.zip: Aggregate results from spatial consistency (statistical simulation using neighboring stations), and time series of observed versus simulated monthly snow depths. <strong>Code </strong>(working copy, not cleaned, all written in R statistical software): code.zip to read in the different data sources to do quality checks and data processing to perform statistical analyses as in paper to produce figures and tables as in paper <strong>Data </strong>(will be uploaded after peer review): Daily and monthly stations snow depth and depth of snowfall. &gt; 2000 stations from Austria, Germany, France, Italy, Switzerland, and Slovenia Meta data (name, latitude, longitude, elevation) in `file`, along with an interactive map `file` If you <strong>use the data you agree to adhere to the respective data provider's terms</strong> as listed in `file` The license terms especially (and additionally to any other terms of the single data providers) include: <strong>Attribution</strong> — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. [from CC BY 4.0] <strong>Version history:</strong> v1.1: changes to aux-paper.zip and code.zip as consequence from submitting a revised manuscript v1.0: initial upload
DOI: 10.5281/zenodo.4390446
title: Values and attitudes associated with public support for biodiversity and ecosystem services as goals of ecological restoration

description: Source data and metadata for "Public support for restoration: Does including ecosystem services as a goal engage a different set of values and attitudes than biodiversity protection alone?", accepted to PLOS One in December 2020.
DOI: 10.5281/zenodo.4390445
title: Values and attitudes associated with public support for biodiversity and ecosystem services as goals of ecological restoration

description: Source data and metadata for "Public support for restoration: Does including ecosystem services as a goal engage a different set of values and attitudes than biodiversity protection alone?", accepted to PLOS One in December 2020.
DOI: 10.5281/zenodo.4390067
title: VCD-LFM dataset

description: This dataset includes three types of images(i.e. bead, heart and worm) , and shows the comparison of reconstructed images' quality via VCD or LFD.
DOI: 10.5281/zenodo.4390066
title: VCD-LFM dataset

description: This dataset includes three types of images(i.e. bead, heart and worm) , and shows the comparison of reconstructed images' quality via VCD or LFD.
DOI: 10.25430/researchdata.cab.unipd.it.00000416
title: Coastal protection and salt-marsh accretion

description: Sediment accumulation and vertical accretion of the salt-marshes of the Venice lagoon, measured from October 2018 to October 2020
DOI: 10.5281/zenodo.4389203
title: Cochlear activity in silent cue-target intervals shows a theta-rhythmic pattern and is correlated to attentional alpha and theta modulations

description: Preprocessed data and analysis-scripts needed to reproduce the figures and statistics of the paper "Cochlear activity in silent cue-target intervals shows a theta-rhythmic pattern and is correlated to attentional alpha and theta modulations".
DOI: 10.5281/zenodo.4389202
title: Cochlear activity in silent cue-target intervals shows a theta-rhythmic pattern and is correlated to attentional alpha and theta modulations

description: Preprocessed data and analysis-scripts needed to reproduce the figures and statistics of the paper "Cochlear activity in silent cue-target intervals shows a theta-rhythmic pattern and is correlated to attentional alpha and theta modulations".
DOI: 10.34740/kaggle/dsv/1775171
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/1775191
title: US counties COVID 19 dataset
DOI: 10.6084/m9.figshare.13224395
title: KEGG_build_2020-12-23

description: An archived version of the KEGG data directory for use in anvi'o. Can be set up on a computer with an anvi'o installation using the command `anvi-setup-kegg-kofams --kegg-archive KEGG_build_2020-12-23_45b7cc2e4fdc.tar.gz` (specify a --kegg-data-dir to avoid overriding the default KEGG data directory, if one exists).<br>Contains MODULES.db version 2.Hash value of the database is 45b7cc2e4fdc
DOI: 10.6084/m9.figshare.13224395.v1
title: KEGG_build_2020-12-23

description: An archived version of the KEGG data directory for use in anvi'o. Can be set up on a computer with an anvi'o installation using the command `anvi-setup-kegg-kofams --kegg-archive KEGG_build_2020-12-23_45b7cc2e4fdc.tar.gz` (specify a --kegg-data-dir to avoid overriding the default KEGG data directory, if one exists).<br>Contains MODULES.db version 2.Hash value of the database is 45b7cc2e4fdc
DOI: 10.5291/ill-data.uga-29
title: Dinosaur Egg
DOI: 10.6084/m9.figshare.13322597
title: Capital Metro Bus, Temperature, and Sociodemographic Data for Austin, Texas (2019)

description: Data were collected for a study, titled "Heat-moderating effects of bus stop shelters and tree shade on public transport ridership." In this study, authors determined whether bus stop shelters and tree canopy surrounding bus stops moderated the effect of warm season temperatures on ridership in Austin, Texas, and whether shelters and tree canopy were equitably distributed. Data are for 2,271 bus stops of Capital Metropolitan Transportation Authority, and span the 2019 warm season (April 1st through September 30th). Data are either at the bus stop level or day level. Data set includes all data used in the analysis. Please see associated metadata for description and source of each field. Contact Kevin Lanza (Kevin.L.Lanza@uth.tmc.edu) with any questions.
DOI: 10.5281/zenodo.4338899
title: Drone-based aerial imagery of rivers, wetlands and agricultural systems in Zambia

description: Unmanned aerial vehicle (UAV) imagery of rivers, wetlands and agricultural systems across Zambia. Collected during two flying seasons in March and September 2018, with a total of 122 scenes at 48 sites. All imagery is made available on OpenAerialMap (https://map.openaerialmap.org), a set of tools for searching, sharing, and using openly licensed satellite and UAV imagery. Detailed description of the dataset provided in a .csv file.
DOI: 10.5281/zenodo.4338898
title: Drone-based aerial imagery of rivers, wetlands and agricultural systems in Zambia

description: Unmanned aerial vehicle (UAV) imagery of rivers, wetlands and agricultural systems across Zambia. Collected during two flying seasons in March and September 2018, with a total of 122 scenes at 48 sites. All imagery is made available on OpenAerialMap (https://map.openaerialmap.org), a set of tools for searching, sharing, and using openly licensed satellite and UAV imagery. Detailed description of the dataset provided in a .csv file.
DOI: 10.5281/zenodo.4024767
title: georgestein/ml-in-cosmology: Machine learning in cosmology

description: An attempt to create a comprehensive list of machine learning applications to cosmology, organized by subject matter and arXiv posting date. See https://github.com/georgestein/ml-in-cosmology for the most up-to-date list. Each entry contains the paper title, a simple summary of the machine learning methods used in the work, and the arXiv link. This will continue to be periodically updated
DOI: 10.5067/4xkm9dckeb5k
title: GPS Radio Occultation Boundary Layer Depth Annual L3 V1
DOI: 10.5067/xgl1qbkfbi5b
title: GPS Radio Occultation Boundary Layer Depth Seasonal L3 V1
DOI: 10.6084/m9.figshare.13483521.v1
title: Supplemental Data: SAEgnal: A Predictive Assessment Framework for Optimizing Safety Profiles in Immuno-Oncology Combination Trials

description: Supplemental Data for AMIA 2021 Submission: SAEgnal: A Predictive Assessment Framework for Optimizing Safety Profiles in Immuno-Oncology Combination Trials
DOI: 10.6084/m9.figshare.13483521
title: Supplemental Data: SAEgnal: A Predictive Assessment Framework for Optimizing Safety Profiles in Immuno-Oncology Combination Trials

description: Supplemental Data for AMIA 2021 Submission: SAEgnal: A Predictive Assessment Framework for Optimizing Safety Profiles in Immuno-Oncology Combination Trials
DOI: 10.6073/pasta/029738d6faf44b470c2806703a8fbd65
title: Long-term measurements of microbial biomass and activity at the Hubbard Brook Experimental Forest 1994 – present

description: Long-term monitoring of soil nitrate (NO3-) and ammonium (NH4+) concentrations, microbial biomass carbon (C) and nitrogen (N) content, microbial respiration, potential nitrification and N mineralization rates, pH, and denitrification potential has been ongoing at the Hubbard Brook Experimental Forest since 1994. Samples have been collected in the Bear Brook Watershed (west of Watershed 6) beginning in 1994. In 1998, our sampling regime was extended to Watershed 1 in an effort to monitor and quantify microbial response to a whole-watershed calcium addition. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.25387/g3.13353083.v1
title: Supplemental Material for Saenko et al., 2020

description: File S1 contains de novo library of repeats and transposable elements generated by RepeatModeler. <br><br>File S2 contains sequences of protein-coding genes predicted in the <i>C. nemoralis</i> genome with MAKER. <br><br>File S3 contains MAKER annotation results.<br> Figure S1 describes main characteristics of the predicted protein-coding genes. <br><br>Table S1 contains GenomeScope results. <br><br>Table S2 contains full output of the BlobTools analysis. <br><br>Table S3 contains BUSCO results. <br><br>Table S4 contains<b> </b>RepeatMasker results. <br><br>Table S5 contains functional annotation of the predicted protein-coding genes.<br>**Figures S1 and Tables S1, S3, and S4 are in the combined file. <br><br>
DOI: 10.25387/g3.13353083
title: Supplemental Material for Saenko et al., 2020

description: File S1 contains de novo library of repeats and transposable elements generated by RepeatModeler. <br><br>File S2 contains sequences of protein-coding genes predicted in the <i>C. nemoralis</i> genome with MAKER. <br><br>File S3 contains MAKER annotation results.<br> Figure S1 describes main characteristics of the predicted protein-coding genes. <br><br>Table S1 contains GenomeScope results. <br><br>Table S2 contains full output of the BlobTools analysis. <br><br>Table S3 contains BUSCO results. <br><br>Table S4 contains<b> </b>RepeatMasker results. <br><br>Table S5 contains functional annotation of the predicted protein-coding genes.<br>**Figures S1 and Tables S1, S3, and S4 are in the combined file. <br><br>
DOI: 10.5291/ill-data.5-41-935
title: Neutron scattering study of the antiferromagnetic phases of TmFe5Al7
DOI: 10.5281/zenodo.4381998
title: Dataset to reproduce MD simulations described in " Insights on the dynamics of the human zinc transporter ZnT8 by MD simulations"

description: Second version includes full length 6xpf-based models and corresponding MD simulations.
DOI: 10.5281/zenodo.4059293
title: Dataset to reproduce MD simulations described in " Insights on the dynamics of the human zinc transporter ZnT8 by MD simulations"

description: Second version includes full length 6xpf-based models and corresponding MD simulations.
DOI: 10.6084/m9.figshare.12417542
title: Salyers et al. AHR Angiogenesis 2020 Source Data.xlsx

description: Complete source dataset for Salyers et al. 2020 examining the impact of AHR activation on angiogenesis.
DOI: 10.6084/m9.figshare.12417542.v2
title: Salyers et al. AHR Angiogenesis 2020 Source Data.xlsx

description: Complete source dataset for Salyers et al. 2020 examining the impact of AHR activation on angiogenesis.
DOI: 10.6084/m9.figshare.12417542.v1
title: Salyers et al. AHR Angiogenesis 2020 Source Data.xlsx

description: Complete source dataset for Salyers et al. 2020 examining the impact of AHR activation on angiogenesis.
DOI: 10.21227/9kkw-4t09
title: Videos for Three-dimensional Object Tracking in Panoramic Video and LiDAR for Radiological Source-Object Attribution and Improved Source Detection

description: Networked detector systems can be deployed in urban environments to aid in the detection and localization of radiological and/or nuclear material. However, effectively responding to and interpreting a radiological alarm using spec- troscopic data alone may be hampered by a lack of situational awareness, particularly in complex environments. This study investigates the use of LiDAR and streaming video to enable real-time object detection and tracking, and the fusion of this tracking information with radiological data for the purposes of enhanced situational awareness and increased detection sensitiv- ity. This work presents an object detection, tracking, and novel source-object attribution analysis that is capable of operating in real-time. By implementing this analysis pipeline on a custom developed system that comprises a static 2 × 4 × 16 inch NaI(Tl) detector co-located with a 64-beam LiDAR and 4 monocular cameras, we demonstrate the ability to accurately correlate trajectories from tracked objects to spectroscopic gamma-ray data in real time, and use physics-based models to reliably discriminate between source-carrying and non-source-carrying objects. In this work, we describe our approach in detail and present a quantitative performance assessment that characterizes the source-object attribution capabilities of both video and Li- DAR. Additionally, we demonstrate the ability to simultaneously track pedestrians and vehicles in a mock urban environment, and use this tracking information to improve both detection sensitivity and situational awareness using our contextual-radiological data fusion methodology.
DOI: 10.25919/05tn-wt94
title: Parkes observations for project P1082 semester 2020OCTS_01

description: Globular clusters can harbour many compact objects including intermediate mass black holes and a zoo of neutron star systems. Mercer 5 is a newly identified globular cluster whose gamma-ray emission properties suggest it may host 200 or more millisecond pulsars. If this is the case it could be the most abundant system known by some distance, opening up several avenues of study on fundamental astrophysical questions. Using the UWL receiver we propose to perform deep searches of the cluster with Parkes to identify the pulsar population.
DOI: 10.25919/120e-p829
title: Parkes observations for project P1061 semester 2020OCTS_01

description: Fast Radio Bursts (FRBs) have extremely high brightness temperature, owing to their short-duration and prominent flux from the distant universe. The studies on emission mechanism of FRBs have met bottleneck for a long time unless a complete spectrum is measured. We propose to observe a new repeating FRB source, FRB 180301, using the Parkes ultra-wide-bandwidth receiver (UWL). This source was initially found by Parkes multibeam receivers and confirmed repetition by the FAST telescope. The source is still active until Jun 2020 from FAST follow-ups. It’s an ideal opportunity to capture comprehensive spectral information using the Parkes UWL. We demonstrate that the beam coverage is feasible and 30-hr observations are required for at least one detection.
DOI: 10.6084/m9.figshare.13484715
title: Subgroups of foot-ankle movement patterns can influence the responsiveness to a foot-core exercise program: a hierarchical cluster analysis

description: Demographic, anthropometric and running practice data from asymptomatic runners that participated in a randomized controlled trial testing the effects of an 8-week foot-core training program.Kinematic data include the joint angles of foot and ankle joints during the stance phase of running (normalized by stance phase time and averaged across steps) from baseline and week-8 assessment.Kinematic time-series data also included for each step (time-normalized by stance phase).
DOI: 10.57745/gzk8c6
title: Selli_RATP_Climat-actuel-liste_espèces_végétales.xlsx

description: :unav
DOI: 10.57745/7f99ng
title: Selli_Rapport-RATP.pdf

description: :unav
DOI: 10.5281/zenodo.7313353
title: LAGOS-AND: A Large Gold Standard Dataset for MAG/OpenAlex Author Name Disambiguation

description: We present a large gold standard dataset for author name disambiguation (AND) research (LAGOS-AND), which contains two sub-datasets, LAGOS-AND-BLOCK and LAGOS-AND-PAIRWISE. The datasets were automatically built by using the two authoritative sources, ORCID and DOI, based on the ORCID open database and an open literature database (MAG or OpenAlex). The currently available versions of the LAGOS-AND datasets are: <strong>Version 1.0 (MAG+ORCID)</strong>: This is the initial version of the LAGOS-AND dataset, the evaluation results and quality control measures of this version dataset can be found in this paper https://arxiv.org/abs/2104.01821. <strong>Version 2.0 (OpenAlex+ORCID)</strong>: This version builds on OpenAlex instead of MAG because MAG was discontinued on 31 December 2021, and OpenAlex not only positions itself as a drop-in replacement for MAG but also keeps evolving by aggregating academic resources from other repositories. In addition, the pairwise-based sub-dataset (LAGOS-AND-PAIRWISE v2.0) improves the accuracy of labeled authorship (class label) as compared to LAGOS-AND-PAIRWISE v1.0. Note that there are other versions of the dataset, which we call "pre-release". We recommend users to use the normal version of the dataset. These pre-release versions were originally intended to be released as the normal versions. However, during the preparation of the research paper, we found an issue with the dataset and the reviewers also made some reasonable requests for the dataset. This led us to update the dataset. Unfortunately, the Zenodo platform does not allow updates to the same version of dataset, so we had to create new versions. The created pre-release datasets are as follows: <strong>Version 2.0-alpha</strong>: For few samples in LAGOS-AND-PAIRWISE, the class labels are incorrect. We improve the accuracy of the class label in the normal Version 2.0 dataset by using a better random sampling approach. <strong>Version 1.0-beta</strong>: We created this version because a sub-dataset of this version LAGOS-AND-PAIRWISE contains only ~500K author pairs, while it should contain ~1M author pairs, as described in our paper. We fixed the problem in the Version 1.0 dataset. <strong>Version 1.0-alpha</strong>: The earliest dataset uploaded to Zenodo, corresponding to the original dataset before addressing the reviewers' comments and suggestions. In contrast, the dataset in Version 1.0 is the dataset after the reviewers' comments and suggestions have been addressed.
DOI: 10.5281/zenodo.6731767
title: LAGOS-AND: A Large Gold Standard Dataset for MAG/OpenAlex Author Name Disambiguation

description: <pre>This is a pre-release version, please use version 2.0 or version 1.0 </pre>
DOI: 10.6084/m9.figshare.21739496
title: Trend values of 1951-2021 of ARCLIM variables

description: This GeoTIFF file contains the 1951-2021 trend values of the ARCLIM variables. The magnitude and statistical significance of the trends were calculated using the Theil-Sen slope estimator and Mann-Kendall trend test, respectively. <br> <em>.v2 Edit History 19/04/2023</em> arclim_trends.tif file has been updated as a result of a coding error in the generation of the original files. <br>
DOI: 10.6084/m9.figshare.21739496.v2
title: Trend values of 1951-2021 of ARCLIM variables

description: This GeoTIFF file contains the 1951-2021 trend values of the ARCLIM variables. The magnitude and statistical significance of the trends were calculated using the Theil-Sen slope estimator and Mann-Kendall trend test, respectively. <br> <em>.v2 Edit History 19/04/2023</em> arclim_trends.tif file has been updated as a result of a coding error in the generation of the original files. <br>
DOI: 10.6084/m9.figshare.21739499
title: Trend values of 1951-2021 of ARCLIM variables

description: This NETCDF4 file contains the 1951-2021 trend values of the ARCLIM variables. The magnitude and statistical significance of the trends were calculated using the Theil-Sen slope estimator and Mann-Kendall trend test, respectively.
DOI: 10.6084/m9.figshare.21739499.v1
title: Trend values of 1951-2021 of ARCLIM variables

description: This NETCDF4 file contains the 1951-2021 trend values of the ARCLIM variables. The magnitude and statistical significance of the trends were calculated using the Theil-Sen slope estimator and Mann-Kendall trend test, respectively.
DOI: 10.6084/m9.figshare.21739502
title: P-values indicating the statistical significance of the trends

description: This GeoTIFF file contains the p-values indicating the statistical significance of the trends over 1951-2021 period. The magnitude and statistical significance of the trends were calculated using the Theil-Sen slope estimator and Mann-Kendall trend test, respectively. <br> <em>.v2 Edit history 19/04/2023</em> arclim_pvalues.tif file has been updated as a result of a coding error in the generation of the original files. <br>
DOI: 10.6084/m9.figshare.21739505.v1
title: Mean conditions of 1991-2020 of ARCLIM variables

description: This NETCDF4 file contains the 1991-2020 mean values of the ARCLIM variables.
DOI: 10.6084/m9.figshare.21739496.v1
title: Trend values of 1951-2021 of ARCLIM variables

description: This GeoTIFF file contains the 1951-2021 trend values of the ARCLIM variables. The magnitude and statistical significance of the trends were calculated using the Theil-Sen slope estimator and Mann-Kendall trend test, respectively.
DOI: 10.6084/m9.figshare.21739502.v2
title: P-values indicating the statistical significance of the trends

description: This GeoTIFF file contains the p-values indicating the statistical significance of the trends over 1951-2021 period. The magnitude and statistical significance of the trends were calculated using the Theil-Sen slope estimator and Mann-Kendall trend test, respectively. <br> <em>.v2 Edit history 19/04/2023</em> arclim_pvalues.tif file has been updated as a result of a coding error in the generation of the original files. <br>
DOI: 10.6084/m9.figshare.21739505
title: Mean conditions of 1991-2020 of ARCLIM variables

description: This NETCDF4 file contains the 1991-2020 mean values of the ARCLIM variables.
DOI: 10.6084/m9.figshare.21739508
title: P-values indicating the statistical significance of the trends

description: This NETCDF4 file contains the p-values indicating the statistical significance of the trends over 1951-2021 period. The magnitude and statistical significance of the trends were calculated using the Theil-Sen slope estimator and Mann-Kendall trend test, respectively.