cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7015418
title: Airborne EM data (Belgium) from flight line 306025

description: This dataset contains Airborne EM data from a SkyTEM instrument from the Flanders region, Belgium. Details about the instrument set-up can be found in the data report. Details about the region, geology, saltwater intrusion context can be found in Delsman, J., van Baaren, E., Vermaas, T., Karaoulis, M., Bootsma, H., de Louw, P. G. B., ... & Thofte, S. (2019). TOPSOIL Airborne EM kartering van zoet en zout grondwater in Vlaanderen (FRESHEM Vlaanderen: Deelopdrachten 1 tot en met 3. <strong>When using this dataset, always cite the above reference. </strong> The actual measured data is in "dat_skytem_306025_flightline.csv". Columns refer to either Low or High moment and time of measurement. Corresponding estimated relative errors can be found in rel_err_skytem_306025_flightline. Distances between soundings/measurment locations and their hieghts above the surface is found in "distances_between_soundings" and "altitudes_per_sounding" respectively. To use this data for the appraisal method, see https://github.com/WouterDls/AEM_appraisal. For more information, write to wouter.deleersnyder@kuleuven.be
description: {"references": ["Delsman, J., van Baaren, E., Vermaas, T., Karaoulis, M., Bootsma, H., de Louw, P. G. B., ... & Thofte, S. (2019). TOPSOIL Airborne EM kartering van zoet en zout grondwater in Vlaanderen (FRESHEM Vlaanderen: Deelopdrachten 1 tot en met 3."]}
DOI: 10.5281/zenodo.7015515
title: 2021 SCOPE Gradients, Water Column Data

description: This dataset contains water column data collected via CTD/rosette profiles taken on the SCOPE Gradients 4 cruise, averaged at every Niskin bottle trip. The SCOPE-Gradients program is designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. This dataset was collected on the R/V Thompson during the Gradients 4 cruise which departed from San Diego, CA and ended in Honolulu, HI. A transect was performed on the 140 degree longitude line from roughly 19 degrees N to 2.5 degrees S before heading to Honolulu.
DOI: 10.5281/zenodo.7015514
title: 2021 SCOPE Gradients, Water Column Data

description: This dataset contains water column data collected via CTD/rosette profiles taken on the SCOPE Gradients 4 cruise, averaged at every Niskin bottle trip. The SCOPE-Gradients program is designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. This dataset was collected on the R/V Thompson during the Gradients 4 cruise which departed from San Diego, CA and ended in Honolulu, HI. A transect was performed on the 140 degree longitude line from roughly 19 degrees N to 2.5 degrees S before heading to Honolulu.
DOI: 10.5281/zenodo.7015528
title: 2021 SCOPE Gradients Downcast CTD Data

description: This dataset contains water column data collected via CTD profiles taken on the SCOPE Gradients 4 cruise. These data were collected on the CTD downcast. The SCOPE-Gradients program is designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. This dataset was collected on the R/V Thompson during the Gradients 4 cruise which departed from San Diego, CA and ended in Honolulu, HI. A transect was performed on the 140 degree longitude line from roughly 19 degrees N to 2.5 degrees S before heading to Honolulu.
DOI: 10.5281/zenodo.7015527
title: 2021 SCOPE Gradients Downcast CTD Data

description: This dataset contains water column data collected via CTD profiles taken on the SCOPE Gradients 4 cruise. These data were collected on the CTD downcast. The SCOPE-Gradients program is designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. This dataset was collected on the R/V Thompson during the Gradients 4 cruise which departed from San Diego, CA and ended in Honolulu, HI. A transect was performed on the 140 degree longitude line from roughly 19 degrees N to 2.5 degrees S before heading to Honolulu.
DOI: 10.6084/m9.figshare.20534460
title: Nepal Vaccine Hesitancy 2021 Database

description: Vaccine hesitancy during the COVID-19 pandemic continues to be an issue in terms of global efforts to decrease transmission rates. Despite high demand for the vaccines in Nepal, the country still contends with challenges related to vaccine accessibility, equitable vaccine distribution, and vaccine hesitancy. To increase understanding of vaccine acceptance and factors associated with hesitancy, a cross-sectional quantitative survey was implemented in August and September 2021.
DOI: 10.6084/m9.figshare.20534460.v1
title: Nepal Vaccine Hesitancy 2021 Database

description: Vaccine hesitancy during the COVID-19 pandemic continues to be an issue in terms of global efforts to decrease transmission rates. Despite high demand for the vaccines in Nepal, the country still contends with challenges related to vaccine accessibility, equitable vaccine distribution, and vaccine hesitancy. To increase understanding of vaccine acceptance and factors associated with hesitancy, a cross-sectional quantitative survey was implemented in August and September 2021.
DOI: 10.6084/m9.figshare.20534547
title: psilopsiagon_aurifrons_spades_01.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20534547.v1
title: psilopsiagon_aurifrons_spades_01.fasta.gz

description: .......
DOI: 10.5281/zenodo.7015526
title: Dataset of observations of waterbird community wintering in Crimea Reservoirs in 2009-2021

description: The result of waterbird counting carried out in winter 2009-2021 in Crimean Reservoirs is presented. The dataset contains the number of individual bird species, as well as data on volume and water surface area. In the script file, there is a code applied to analyse the data.
DOI: 10.5281/zenodo.7015525
title: Dataset of observations of waterbird community wintering in Crimea Reservoirs in 2009-2021

description: The result of waterbird counting carried out in winter 2009-2021 in Crimean Reservoirs is presented. The dataset contains the number of individual bird species, as well as data on volume and water surface area. In the script file, there is a code applied to analyse the data.
DOI: 10.21227/apzc-be43
title: Bitcoin Address Clustering Based on Change Address Improvement

description: Change address identification is one of the difficulties in bitcoin address clustering as an emerging social computing problem. Most of the current related research only applies to certain specific types of transactions and faces the problems of low recognition rate and high false positive rate. We innovatively propose a clustering method based on multi-conditional recognition of one-time change addresses and conduct experiments with on-chain bitcoin transaction data. The results show that the proposed method identifies at least 12.3\% more one-time change addresses than other heuristics. On top of the multi-input heuristic clustering method, the proposed method also improves the address clustering performance by 5.7\%, achieves optimal recognition results compared to similar methods, and significantly reduces the false positive rate of recognition results. This work provides the technical basis for anti-money laundering efforts based on entity identification. Code and data could be accessed from https://github.com/ECNU-Cross-Innovation-Lab/BitcoinAddressClustering.
DOI: 10.21227/m260-jv55
title: Time Series dataset

description: Sales dataset
DOI: 10.6084/m9.figshare.20536434
title: bolborhynchus_lineola_spades_01.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20536434.v1
title: bolborhynchus_lineola_spades_01.fasta.gz

description: .......
DOI: 10.5066/p9d8bsxr
title: Model Scripts and Water-Quality Data for Trends in the Rapid Creek Basin, South Dakota, 1970&amp;amp;ndash;2020

description: This page contains a zipped folder which contains all items necessary to run trend models and produce results published in U.S. Geological Scientific Investigations Report 2022-5086 [Tatge, W.S., Hoogestraat, G., and Nustad, R.A., 2022, Water-Quality Data and Trends in the Rapid Creek Basin, South Dakota, 1970–2020: U.S. Geological Survey Scientific Investigations Report 2022-5086]. To run the R-QWTREND program in R 6 files are required and each is included in this child page: prepQWdataV4.txt, runQWmodelV4XXUEP.txt, plotQWtrendV4XXUEP.txt, qwtrend2018v4.exe, salflibc.dll, and StartQWTrendV4.R (Vecchia and Nustad, 2020). The folder contains five items required to run the R–QWTREND trend analysis tool; a readme.txt file; an alldata.csv [...]
DOI: 10.3886/icpsr26201.v1
title: Federal Justice Statistics Program: Criminal Appeals Cases in Courts of Appeals, 2008
title: Version 1

description: The data contain records of criminal appeals cases filed in United States Courts of Appeals during fiscal year 2008. The data were constructed from the Administrative Office of the United States Courts' (AOUSC) Court of Appeals file. These contain variables on the nature of the criminal appeal, the underlying offense, and the disposition of the appeal. An appeal can be filed by the government or the offender, and the appellant can appeal the sentence, the verdict, or both sentence and verdict. The data file contains variables from the original AOUSC files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 6.1-6.5. Variables containing information (e.g., name, Social Security number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Criminal Appeals Cases in Courts of Appeals, 2008
description: Criminal appeals cases filed in United States Courts of Appeals during fiscal year 2008.
DOI: 10.17894/ucph.64a6ffaa-b6b2-48c3-a05b-70bb6b316006
title: Raw sequencing data (fastq files) of the "Complete mitochondrial genomes from museum specimens clarify millipede evolution in the Eastern Arc Mountains" paper.
DOI: 10.17632/pb4nmrn5c2.1
title: Sreekumar et al., Ionosphere data - Geomagnetic Storms

description: This Ionospheric data sets consists of ST Radar data obtained from a 205 MHz VHF Radar, SWARM A& C data of Electron density, and O/N2 and GNSS data
DOI: 10.17632/g6j5t2z73z.1
title: Thermal Structure of the Middle and Upper Atmosphere of Mars from ACS/TGO CO2 Spectroscopy

description: This data set represents results from the middle infrared spectrometer of the Atmospheric Chemistry Suite (ACS MIR) operating on board ExoMars Trace Gas Orbiter in regime of solar occultation. The instrument measures altitude profiles of CO2 density and temperature in the atmosphere of Mars. Here we present the profiles measured during 1.5 Martian Years (MY), from the middle of MY 34 to the end of MY 35. This period correspond to ACS MIR observations from May 2018 to January 2021. The selected dataset comprises 306 occultation sessions in the Northern Hemisphere and 299 sessions in the Southern Hemisphere, encompassing seasonal periods of Solar longitude Ls=180°-355° in MY34 and Ls=0°-356° in MY35.

The current Version 1 is a preliminary data storage while the related paper is being under review.

Related paper:
Belyaev, D. A., et al. (2022). Thermal Structure of the Middle and Upper Atmosphere of Mars from ACS/TGO CO2 Spectroscopy. Open access at ESSOAr: doi:10.1002/essoar.10510820.1

For any detail or question mail to: dbelyaev@iki.rssi.ru (Dr. Denis Belyaev)
DOI: 10.17632/g53kjczky8.1
title: Data - Errors that influence the management in hospital pharmacies

description: Hospital pharmacies, observing their operations, can be classified within the concepts of complex socio-technical systems, subject to errors that affect the entire organization of work and, ultimately, can negatively impact safety and the best clinical outcome for patients, subject to errors that affect the entire organization of work and, ultimately, can negatively impact safety and the best clinical outcome for patients. This empirical study sought to evaluate, through the application of Human Reliability Analysis (HRA) techniques, disorders associated with errors in manual drug dispensing processes in a hospital pharmacy. Among the errors identified from the Hierarchical Task Analysis (HTA) and Systematic Human Error Reduction and Prediction Approach (SHERPA), it is evident that 73% focus on action and acquisition errors, relating to cognitive and management aspects, which is descriptively compatible with other studies already carried out. The taxonomy derived from the SHERPA method can be useful as a tool for classifying errors in pharmaceutical dispensing processes.
DOI: 10.17632/kwkfh294fr.1
title: Repository of Supplementary Files DIB 

description: Capsicum annuum (Bell pepper cv. California Wonder) and Capsicum chinense (Habanero pepper) plants were infected with Tomato brown rugose fruit virus (ToBRFV). In this repository, we showed some results. First,  symptom development was compared between mock-inoculated and infected plants. Then, we performed droplet digital PCR (ddPCR) to quantify and compare the number of viral copies in systemic leaf samples. On the other hand, RTPCR was carried out with RNA samples of Opuntia ficus and Nicotiana tabacum infected with Opuntia Virus 2 (OV2) and Tobacco Mosaic Virus (TMV), respectively in order to test the specificity of the ToBRFV primers. These viruses were detected with specific primers for OV2 and TMV, demonstrating their suitability as negative controls for CP ToBRFV detection by ddPCR. The integrity and quality of biological material was tested by PCR amplifying ACTIN-11 and GAPDH fragments as endogenous genes.
DOI: 10.6084/m9.figshare.20536824
title: cacatua_moluccensis_spades_01.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.20536824.v1
title: cacatua_moluccensis_spades_01.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.20536964
title: Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation

description: There is a growing interest in the estimation of the number of unseen features, mostly driven by biological applications. A recent work brought out a peculiar property of the popular completely random measures (CRMs) as prior models in Bayesian nonparametric (BNP) inference for the unseen-features problem: for fixed prior’s parameters, they all lead to a Poisson posterior distribution for the number of unseen features, which depends on the sampling information only through the sample size. CRMs are thus not a flexible prior model for the unseen-features problem and, while the Poisson posterior distribution may be appealing for analytical tractability and ease of interpretability, its independence from the sampling information makes the BNP approach a questionable oversimplification, with posterior inferences being completely determined by the estimation of unknown prior’s parameters. In this paper, we introduce the stable-Beta scaled process (SB-SP) prior, and we show that it allows to enrich the posterior distribution of the number of unseen features arising under CRM priors, while maintaining its analytical tractability and interpretability. That is, the SB-SP prior leads to a negative Binomial posterior distribution, which depends on the sampling information through the sample size and the number of distinct features, with corresponding estimates being simple, linear in the sampling information and computationally efficient. We apply our BNP approach to synthetic data and to real cancer genomic data, showing that: i) it outperforms the most popular parametric and nonparametric competitors in terms of estimation accuracy; ii) it provides improved coverage for the estimation with respect to a BNP approach under CRM priors.
DOI: 10.6084/m9.figshare.20536964.v1
title: Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation

description: There is a growing interest in the estimation of the number of unseen features, mostly driven by biological applications. A recent work brought out a peculiar property of the popular completely random measures (CRMs) as prior models in Bayesian nonparametric (BNP) inference for the unseen-features problem: for fixed prior’s parameters, they all lead to a Poisson posterior distribution for the number of unseen features, which depends on the sampling information only through the sample size. CRMs are thus not a flexible prior model for the unseen-features problem and, while the Poisson posterior distribution may be appealing for analytical tractability and ease of interpretability, its independence from the sampling information makes the BNP approach a questionable oversimplification, with posterior inferences being completely determined by the estimation of unknown prior’s parameters. In this paper, we introduce the stable-Beta scaled process (SB-SP) prior, and we show that it allows to enrich the posterior distribution of the number of unseen features arising under CRM priors, while maintaining its analytical tractability and interpretability. That is, the SB-SP prior leads to a negative Binomial posterior distribution, which depends on the sampling information through the sample size and the number of distinct features, with corresponding estimates being simple, linear in the sampling information and computationally efficient. We apply our BNP approach to synthetic data and to real cancer genomic data, showing that: i) it outperforms the most popular parametric and nonparametric competitors in terms of estimation accuracy; ii) it provides improved coverage for the estimation with respect to a BNP approach under CRM priors.
DOI: 10.5517/ccdc.csd.cc2b5xs7
title: CCDC 2150649: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Tong, Felix Schneck, Gregory C. Fu|2022|J.Am.Chem.Soc.|144|14856|doi:10.1021/jacs.2c06154
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.cc2b5xt8
title: CCDC 2150650: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Tong, Felix Schneck, Gregory C. Fu|2022|J.Am.Chem.Soc.|144|14856|doi:10.1021/jacs.2c06154
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.cc2b5xwb
title: CCDC 2150652: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Tong, Felix Schneck, Gregory C. Fu|2022|J.Am.Chem.Soc.|144|14856|doi:10.1021/jacs.2c06154
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.cc2b5xxc
title: CCDC 2150653: Experimental Crystal Structure Determination

description: Related Article: Xiaoyu Tong, Felix Schneck, Gregory C. Fu|2022|J.Am.Chem.Soc.|144|14856|doi:10.1021/jacs.2c06154
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.cc2brnh8
title: CCDC 2167690: Experimental Crystal Structure Determination

description: Related Article: Mollah Rohan Ahsan, Arijit Mukherjee|2022|CrystEngComm|24|5930|doi:10.1039/D2CE00735E
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.cc2bpygg
title: CCDC 2166046: Experimental Crystal Structure Determination

description: Related Article: Mollah Rohan Ahsan, Arijit Mukherjee|2022|CrystEngComm|24|5930|doi:10.1039/D2CE00735E
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.7015583
title: Data from: Characterizing fish habitat use of fringing oyster reefs using acoustic imaging

description: Data and scripts associated with the paper "Characterizing fish habitat use of fringing oyster reefs using acoustic imaging"
DOI: 10.5281/zenodo.7015582
title: Data from: Characterizing fish habitat use of fringing oyster reefs using acoustic imaging

description: Data and scripts associated with the paper "Characterizing fish habitat use of fringing oyster reefs using acoustic imaging"