cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23708/hgmzkx
title: Food and beverage consumption and dietary routines and practices in Ghana

description: Food intake was assessed using qualitative 24hr recall (food type information only, not quantity consumed). In 2017, interviewers noted all food and drink consumed by participants inside/outside the home in the previous 24hr period, also recording how long a food event lasts (time categories), time of day of the food event (exact time in minutes), who participants eat with and where. The 24hr dietary recall was structured around a pre-populated 24hr recall tool that we developed on a pre-programmed tablet including &gt;200 foods. Quota sampling was used to recruit participants taking the following into account: age, socio-economic status, employment/education status, Body Mass Index group, gestational status. Sample here is for n=200 adolescent girls and women aged 13-49 years in two cities in Ghana: n=103 participants for Ho and 97 for Accra. We include data on the food items consumed by participants, with whom, where and when they were consumed. Data was anonymized and can be transmitted upon a data sharing agreement and regulatory compliance: refer to "Terms of Use" statement.
DOI: 10.3886/e119390
title: NHGIS Census Data Workflow using Stata and Python, Miami-Dade County 1990 Block Groups

description: This data archive provides Stata .do files and a Jupyter Notebook for the cleaning, manipulation, exploration, and mapping of Block Group and County level data. The data workflow is meant to provide useful tools and code to any researcher working Census data at the block group level or other geographic levels. The benefit of using NHGIS data is the ability to obtain older datasets not easily available for download from the Census. Additionally, NHGIS provides the data in a standardized format with codebooks. <br><br>The workflow is broken out into sub-tasks: obtain data, clean data, and explore data. Each task is designed to be completed prior to the subsequent task. The workflow follows guidance from Long (2009).<br><br>Stata .do file features:<br>Loops, local and global macros, and other advanced functions for generating and manipulating variablesCommands to generate and export descriptive statistics tables, histograms, boxplots and between-area analyses to Microsoft Word and image filesJupyter Notebook features:<br>Code and markdown commentary to read in and map the output file from Stata and merge with shapefilesThe data used in this workflow example is used in analysis by Peacock et al. (2014), and Zhang and Peacock (2009). <br><br><br>
description: For Median Household Income: All Households<br>For Race and Ethnicity: All Persons<br>For Parcels: All tax assessed parcels in Miami-Dade County. Smallest Geographic Unit: Block Group
DOI: 10.3886/e119390v1
title: NHGIS Census Data Workflow using Stata and Python, Miami-Dade County 1990 Block Groups

description: This data archive provides Stata .do files and a Jupyter Notebook for the cleaning, manipulation, exploration, and mapping of Block Group and County level data. The data workflow is meant to provide useful tools and code to any researcher working Census data at the block group level or other geographic levels. The benefit of using NHGIS data is the ability to obtain older datasets not easily available for download from the Census. Additionally, NHGIS provides the data in a standardized format with codebooks. <br><br>The workflow is broken out into sub-tasks: obtain data, clean data, and explore data. Each task is designed to be completed prior to the subsequent task. The workflow follows guidance from Long (2009).<br><br>Stata .do file features:<br>Loops, local and global macros, and other advanced functions for generating and manipulating variablesCommands to generate and export descriptive statistics tables, histograms, boxplots and between-area analyses to Microsoft Word and image filesJupyter Notebook features:<br>Code and markdown commentary to read in and map the output file from Stata and merge with shapefilesThe data used in this workflow example is used in analysis by Peacock et al. (2014), and Zhang and Peacock (2009). <br><br><br>
description: For Median Household Income: All Households<br>For Race and Ethnicity: All Persons<br>For Parcels: All tax assessed parcels in Miami-Dade County. Smallest Geographic Unit: Block Group
DOI: 10.17632/6dvrxd7xpn.2
title: Program code used to simulate data and analyze the performance of unanchored matching-adjusted indirect comparison (MAIC) on time-to-event outcomes

description: This folder contains Stata do files used to simulate and analyze data used in the study that was described by the manuscript "Performance of Unanchored Matching-adjusted Indirect Comparison (MAIC) for the Evidence Synthesis of Single-arm Trials with Time-to-event Outcomes". A word document namde "program code files contents.docx" describing which part of the study each program file corresponds to is also contained in the folder. This word document serves as a "read me" file.
DOI: 10.21227/v5zc-vv40
title: IP address assignment durations

description: This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 30/4/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
DOI: 10.7910/dvn/fuo7fc/mlkvie
title: combinedAEARegsGraphs.png

description: Updated through March 2020, axes combined.
DOI: 10.17632/n8ckgdy2rr.2
title: The monthly climate simulation datasets and the CRU datasets in China

description: This is the climate dataset pertaining to the following research paper: "Improving multidimensional drought risk projections through a Bayesian hierarchical multi-model framework" . It includes five regional climate simulation dataset, the CRU dataset, and the NetCDF data for the 10 climate divisions in China.
DOI: 10.17632/ym2p8x7hr5.1
title: Other species’ alarm calls evoke a predator-specific search Iimage in birds. Suzuki

description: Data and R code for Figure 2.
DOI: 10.17632/ym2p8x7hr5.2
title: Other species’ alarm calls evoke a predator-specific search Iimage in birds. Suzuki

description: Data and R code for Figure 2.
DOI: 10.21227/ad40-3c10
title: IP address assignment durations

description: This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 30/4/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
DOI: 10.15129/73c3f6a3-ef37-4637-b775-53faf379f65e
title: Data for: "Investigation of Cellular Uptake Mechanism of Functionalised Gold Nanoparticles into Breast Cancer Using SERS"

description: The purpose of this dataset is to use 3D SERS for the first time as a sensitive, non-destructive and straightforward technique for investigating the cellular uptake processes of functionalised nanotags in the entire volume of the cells. 3D SERS provides an information rich approach to monitoring the intracellular internalisation of the nanotags, which highlights the role of functionalisation of SERS nanotags in biological environments. Modified nanoparticles are of great interest to the scientific community and this paper demonstrates one approach that will provide significant value to the armoury in understanding novel nanoconstructs and their interactions with cells. Moratorium on data access until 27/11/21
DOI: 10.21227/5xes-rb86
title: IP address assignment durations

description: This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 30/4/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.
DOI: 10.17632/563y2fyd5k.1
title: 36Cl exposure ages of alluvial limestone boulders, near Yenice, Karabük, northern Turkey

description: An alluvial fan formed in the Filyos River Valley, resulting from landslide and fluvial activity in the Şimşir River. Debris flows were transported through Şeker Canyon and into the Filyos River Valley, creating an alluvial fan. The alluvial layers overly older fluvial fill terrace layers. Chemical preparations were performed at the İTÜ Kozmo-Lab in Istanbul, Turkey. The final AgCl targets were sent to the CNRS-ASTER, Aix en Provence, France for measurements using Accelerated Mass Spectrometry. Major and trace element concentrations of aliquots were measured at AcmeLabs, Canada.
DOI: 10.21227/3351-5w91
title: Industrial overfeed refrigeration system

description: Dataset of the signals monitored in a typical overfeed refrigeration system. The system is composed of two compressors in parallel, four evaporative condensers and various evaporators distributed in the different spaces to refrigerate. The dataset contains variables from all the main components of the refrigeration system such as the compressors, the condensers and the evaporators, with additional information about the outdoor temperature, the temperature of the refrigerated spaces and all the set points. The dataset contains more than 2 years of operaton of data acquired every minute, from 2018/01/01 to 2020/05/08.
DOI: 10.25345/c50t49
title: MassIVE MSV000085437 - Swabs of Dendrobatids-Three materials
title: Samples from methanolic extracts from swabs taken from skins of poison frogs using three different materials (cotton, foam, rayon). Split injection mode using a desorption temperature of 250C. The separation was performed initiating to 100C for 3 min, and then increasing the temperature to 190C using a rate of 10C/min and maintaining it by 1 min, afterward increasing to 200C changing the rate to 2C/min and maintaining it by 1 min, and finally increasing to 280C, using a rate of 10C/min, and maintaining to this temperature for 3 min. The analysis was performed in a GC HP 6890 Series equipped with an Agilent Mass Selective Detector 5973 (Agilent technologies, Palo Alto, CA, USA). The separation was performed on a BP-5 capillary GC column (30 m 0.25 mm 0.25 um, SGE, Austin, TX, USA) using helium as a carrier gas at a flow rate of 1.1 mL/min
DOI: 10.17632/94t5vz46rw.1
title: Dataset of endoscopic thyroidectomy via axillary-breast-shoulder approach: early experience of 42 cases

description: Endoscopic thyroidectomy (ET) is preferable to avoid a large and visible surgical scar on the neck and to reduce postoperative complication, since most patients in Indonesia present with large-sized thyroid nodules. We aim to evaluate and analyze surgical feasibility, safety, oncologic outcomes, and patient satisfaction of ET via axillary-breast-shoulder (ABS) approach. We hereby provide additional information regarding materials, methods and data related to our recent study published in Surgical Oncology. Patients’ characteristics were obtained from the medical record, including age, tumor size, and preoperative histological findings. Six months of postoperative period were taken to follow-up the complications and scar satisfaction. The data contained in this article support the feasibility, safety, oncologic outcomes, and patient satisfaction of ET via ABS approach.
DOI: 10.17632/b4kcw9r32n.1
title: Dataset for Hierarchical Object Detection of Nordic Fish Species

description: The dataset contains data used in the thesis "Hierarchical Fish Species Detection in Real-Time Video Using YOLO". It consists of the weights of the models that was used for the different experiments, some framework configurations, and the object detection dataset. The detector runs on the Darknet framework. The object detection dataset is a collection of 1879 images of underwater fish taken from a stationary camera in Lindesnes, Norway. Each image has a corresponding annotation file that defines a bounding box and class for each fish. The images are annotated with hierarchical classification and biological taxonomy in mind. The hierarchy is defined in fish_taxonomy.xml. This means that if the species cannot be discerned, a higher class in the hierarchy will be used. There is 7721 annotated fish in the dataset.
DOI: 10.21227/w1j1-7774
title: Industrial overfeed refrigeration system

description: Dataset of the signals monitored in a typical overfeed refrigeration system. The system is composed of two compressors in parallel, four evaporative condensers and various evaporators distributed in the different spaces to refrigerate. The dataset contains variables from all the main components of the refrigeration system such as the compressors, the condensers and the evaporators, with additional information about the outdoor temperature, the temperature of the refrigerated spaces and all the set points. The dataset contains more than 2 years of operaton of data acquired every minute, from 2018/01/01 to 2020/05/08.
DOI: 10.5281/zenodo.3832254
title: R&D Dataset for LHC Olympics 2020 Anomaly Detection Challenge

description: This is the first R&D dataset for the LHC Olympics 2020 Anomaly Detection Challenge. It consists of 1M QCD dijet events and 100k W'-&gt;XY events, with X-&gt;qq and Y-&gt;qq. The W', X, and Y masses are 3.5 TeV, 500 GeV and 100 GeV respectively. The events are produced using Pythia8 and Delphes 3.4.1, with no pileup or MPI included. They are selected using a single fat-jet (R=1) trigger with pT threshold of 1.2 TeV. The events are randomly shuffled together, but for the purposes of testing and development, we provide the user with a signal/background truth bit for each event. Obviously, the truth bit will not be included in the actual challenge. These events are stored as pandas dataframes saved to compressed h5 format. For each event, all Delphes reconstructed particles in the event are assumed to be massless and are recorded in detector coordinates (pT, eta, phi). More detailed information such as particle charge is not included. Events are zero padded to constant size arrays of 700 particles, with the truth bit appended at the end. The array format is therefore (Nevents=1.1M, 2101). For more information, including an example Jupyter notebook illustrating how to read and process the events, see the official LHC Olympics 2020 webpage. https://lhco2020.github.io/homepage/ <strong>UPDATE May 18 2020</strong> We have uploaded a second signal dataset for R&D, consisting of 100k W'-&gt;XY with X,Y-&gt;qqq (i.e. 3-prong substructure). Everything else about this signal dataset (particle masses, trigger, Pythia configuration, detector simulation) is the same as the previous one described above.
DOI: 10.15468/5xkxrc
title: Macrodactylini (Coleoptera, Scarabaeidae, Melolonthinae): primary types of type species and taxonomic changes to the generic classification

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fuhrmann, Juares, Vaz-De-Mello, Fernando Z. (2017): Macrodactylini (Coleoptera, Scarabaeidae, Melolonthinae): primary types of type species and taxonomic changes to the generic classification. European Journal of Taxonomy 350: 1-71, DOI: https://doi.org/10.5852/ejt.2017.350
DOI: 10.17632/h758kwj57x.1
title: Dyke segmentation: an experimental approach.

description: Supplementary material for "Dyke segmentation: an experimental approach" European Geophysical Union at Vienna, Austria April 2020 DOI: 10.5194/egusphere-egu2020-13768 Jazmín Chávez-Álvarez Mariano Cerca
DOI: 10.23708/xsacna
title: Participatory photography (photovoice) to explore food environments in Ghana: interview transcripts

description: The aim of this study was to identify social and physical factors that influence food choices in women and adolescent girls living in urban Ghana. In 2017, a qualitative study was conducted amongst women and adolescent girls aged 13-49 years living in socio-economically deprived urban neighbourhoods in Accra (n=32) and Ho (n=32). Participants used photography to identify characteristics in their social and physical environment that drive their dietary behaviours. Specifically, participants were asked to take five photographs in relation to the following themes: i. a place where you eat food and/or drink; ii. something that makes eating healthy difficult for you; iii. something that makes eating healthy easy for you; iv. something that influences what you eat in your area/neighbourhood; v. a person that influences your food or drink choices in your area/neighbourhood. Follow-up interviews focused on participants telling the ‘stories’ of their photographs. Data are provided for transcripts without photographs subject to several conditions. Data available: 64 qualitative interviews transcripts (about 10 pages each), anonymized manually after collection: transmitted upon agreement and regulatory compliance, refer to "Terms of Use" statement; documentation: interview guide and informed consent form.
DOI: 10.25345/c5w12p
title: MassIVE MSV000085438 - GNPS - Dataset Creation from GNPS Molcular Networking - 92C_neg
title: Fungo endofitico Diaporthe phaseolorum isolado da Cumbretum lanceolatum
DOI: 10.3886/e114498
title: Replication data for: Indoor Air Pollution and Infant Mortality: A New Approach

description: I propose a new approach to estimate the impact of changes in indoor air quality on infant mortality. I use a quasi-experimental design, leveraging the largest kerosene to liquid petroleum gas (LPG) conversion program implemented in a developing country. The Indonesian government redirected kerosene subsidy budgets to LPG, a more efficient and cleaner fuel compared to kerosene. LPG produces significantly less indoor air pollution compared to kerosene. I find 4 fewer infants died per 10,000 live births due to the program. In the developing world, one billion kerosene users switching to LPG can save about 7,000 infants per year.
DOI: 10.5281/zenodo.3758713
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Shorthouse, David Peter, https://orcid.org/0000-0001-7618-5230. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.3779515
title: Wengan assemblies (v.0.2)

description: This data repository contains various human genome assemblies generated by Wengan (v.0.2). A supplement for https://github.com/adigenova/wengan
DOI: 10.5281/zenodo.3831379
title: Data and Code for: Performance Evaluation of the Particle Swarm Optimization Algorithm to Unambiguously Estimate Plasma Parameters from Incoherent Scatter Radar Signals

description: This repository contains the datasets and scripts used to obtain the figures of the paper "Performance Evaluation of the Particle Swarm Optimization Algorithm to Unambiguously Estimate Plasma Parameters from Incoherent Scatter Radar Signals". The repository is organized as follows:<br> - Part I) Monte Carlo simulation codes - Part II) Monte Carlo simulations using the parameter configuration "Param. 1" of Shi et al. (1999) - Part III) Monte Carlo simulation using the parameter configuration "Param. 1" of Shi et al. (1999) and a limited ion composition search space - Part IV) Monte Carlo simulations using the parameter configuration "Param. 2" of Wang et al. (2012) - Part V) Monte Carlo simulation using the parameter configuration "Param. 2" of Wang et al. (2012) and a limited ion composition search space - Part VI) Codes to generate all figures of the manuscript All datasets and scripts were generated and tested using Matlab 2017. Simulations have been executed in parallel on a SLURM cluster, compilation and running scripts are provided.
DOI: 10.17632/vvmzpcrr6k.1
title: Raw data - Resting-state functional connectivity and cortical thickness characterization of a patient with Charles Bonnet syndrome

description: Research data
DOI: 10.5281/zenodo.3831378
title: Data and Code for: Performance Evaluation of the Particle Swarm Optimization Algorithm to Unambiguously Estimate Plasma Parameters from Incoherent Scatter Radar Signals

description: This repository contains the datasets and scripts used to obtain the figures of the paper "Performance Evaluation of the Particle Swarm Optimization Algorithm to Unambiguously Estimate Plasma Parameters from Incoherent Scatter Radar Signals". The repository is organized as follows:<br> - Part I) Monte Carlo simulation codes - Part II) Monte Carlo simulations using the parameter configuration "Param. 1" of Shi et al. (1999) - Part III) Monte Carlo simulation using the parameter configuration "Param. 1" of Shi et al. (1999) and a limited ion composition search space - Part IV) Monte Carlo simulations using the parameter configuration "Param. 2" of Wang et al. (2012) - Part V) Monte Carlo simulation using the parameter configuration "Param. 2" of Wang et al. (2012) and a limited ion composition search space - Part VI) Codes to generate all figures of the manuscript All datasets and scripts were generated and tested using Matlab 2017. Simulations have been executed in parallel on a SLURM cluster, compilation and running scripts are provided.
DOI: 10.5281/zenodo.3832288
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Cooper, Jerry, https://orcid.org/0000-0003-4994-3897. Claims were made on Bloodhound, https://bloodhound-tracker.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.17632/vyhjbns9kn.1
title: Personality and health services consumption

description: SPSS file with data of Personality variables and Health services consumption
DOI: 10.5281/zenodo.3823611
title: The age distribution of global soil carbon inferred from radiocarbon measurements

description: We use 789 radiocarbon (∆<sup>14</sup>C) profiles, along with other geospatial information, to create globally-gridded datasets of mineral soil ∆<sup>14</sup>C and mean age. The spatial resolution is 0.5 degree by 0.5 degree and the vertical resolution is at each 1 cm increment to a soil depth of 1 meter.
DOI: 10.5281/zenodo.3823612
title: The age distribution of global soil carbon inferred from radiocarbon measurements

description: We use 789 radiocarbon (∆<sup>14</sup>C) profiles, along with other geospatial information, to create globally-gridded datasets of mineral soil ∆<sup>14</sup>C and mean age. The spatial resolution is 0.5 degree by 0.5 degree and the vertical resolution is at each 1 cm increment to a soil depth of 1 meter.
DOI: 10.5281/zenodo.3831893
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.15468/nkpfxg
title: Tomoceridae (Collembola, Entomobryomorpha) from the southern Annamitic cordillera: redescription of Tomocerus ocreatus Denis, 1948 and description of a new species of Tomocerina Yosii, 1955

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yu, Daoyuan, Man, Le Cong, Deharveng, Louis (2016): Tomoceridae (Collembola, Entomobryomorpha) from the southern Annamitic cordillera: redescription of Tomocerus ocreatus Denis, 1948 and description of a new species of Tomocerina Yosii, 1955. European Journal of Taxonomy 176: 1-14, DOI: http://dx.doi.org/10.5852/ejt.2016.176
DOI: 10.15468/zrkucy
title: Two atypical new species of the genus Sectonema Thorne, 1930 (Nematoda, Dorylaimida, Aporcelaimidae) from Vietnam

description: This dataset contains the digitized treatments in Plazi based on the original journal article Nguyen, Thi Anh Duong, Abolafia, Joaquín, Bonkowski, Michael, Peña-Santiago, Reyes, Álvarez-Ortega, Sergio (2016): Two atypical new species of the genus Sectonema Thorne, 1930 (Nematoda, Dorylaimida, Aporcelaimidae) from Vietnam. European Journal of Taxonomy 171: 1-20, DOI: http://dx.doi.org/10.5852/ejt.2016.171