cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z2kmsh2237.2
title: Data for: Nutrigenomic markers identified by de novo RNAseq during the early ontogeny of the three spot cichlid Amphilophus trimaculatus

description: Supplementary files: Nutrigenomic markers identified by de novo RNAseq during the initial ontogeny of the three spot cichlid Amphilophus trimaculatus.
DOI: 10.17632/d6pp2vrrf5.1
title: Petrophysical and Geochemical Evaluation of Shales Using Magnetic Resonance T1-T2* Relaxation Correlation
DOI: 10.17632/kdx87pbv3m.1
title: ROMS_RCA Code and forcing

description: This folder includes the ROMS_RCA Code and the forcing files to drive the the model running for Chesapeake Bay ecosystem.
DOI: 10.5281/zenodo.3826751
title: Emissions changes in 2020 due to Covid19

description: Emissions changes in 2020 due to Covid19, Contact Piers Forster (p.m.forster@leeds.ac.uk) for more details. www.climate.leeds.ac.uk Data are differences in either kt per day or Mt per day (for CO2) compared to annual averaged baseline emissions. Rows are days in 2020. Columns are ISO_A3 abbreviations of countries. Last two columns are international aviation and shipping. Two estimates are given: high and mid Based on Google mobility data and EDGAR datasets. Data projected from day 120 until Day 366.
DOI: 10.14284/409
title: Evaluating Acoustic Positional Telemetry designs for research on Atlantic cod around wind turbines

description: Evaluation of receiver contribution to the performance of two Acoustic Positional Telemetry (APT) designs for research on Atlantic cod with seasonally high site fidelity around offshore wind turbines.
DOI: 10.17632/8jt93ggv9w.1
title: Markov chain representation dataset of SARS-CoV-2 genome

description: COVID-19, the disease caused by the SARS-CoV-2 virus, has been spreading around the world quite aggressively since the end of 2019. It has been declared a pandemic by the World Health Organization, and Capturing data from May 13, 2020; there are more than 4 million cases with more than 250 thousand deaths. Thus, this work presents a new dataset in which creates the Markov chain representation of the SARS-CoV-2 genome sequences from NCBI (1557 instances). The dataset also provides a Markov chain representation of other viruses from the Virus-Host DB (11540 different viruses) and three Riboviria viruses from NCBI (Betacoronavirus RaTG13, bat-SL-CoVZC45, and bat-SL-CoVZXC21).
DOI: 10.17632/cwzhng62w9.1
title: Supplemental Figure & Tables

description: The following supplemental Figure and Tables present important information to understand the trends in the changing landscape of dermatological practice as a result of the COVID-19 pandemic. Reported areas of COVID-19 density have been referenced using the Center for Systems Science and Engineering at Johns Hopkins University website. The survey used for data collection has been included. Geographic location and years of experience of practicing dermatologists who participated in the aforementioned survey have been collected and compared to the distribution of AAD (American Academy of Dermatology) membership.
DOI: 10.17632/wy3gw8c4xm.1
title: Cerebral blood flow, paired arterial-jugular venous blood gases, and derived cerebral oxygenation indices in healthy volunteers

description: The data are obtained from two previously published studies on healthy volunteers (Møller et al. 2002 and Taudorf et al. 2009). Based on mathematical formalism, the data may be used to estimate capillary and mitochondrial oxygen tensions during normo- and hyperventilation.
DOI: 10.23708/xdmjky
title: Community readiness to address unhealthy food and beverage consumption in Ghana: in-depth interview transcripts of local stakeholders

description: This study assessed community readiness to address unhealthy food and beverage consumption in women of reproductive age in urban Ghana. The Community Readiness Model (CRM) assessed the stage of readiness of communities within Accra and Ho to address the consumption of unhealthy foods and beverages. In-depth individual interviews were conducted in 2018 with 24 key informants from various sectors across the two cities. The CRM survey consists of 36 open questions addressing five readiness dimensions: community knowledge of efforts; leadership; community climate; knowledge of the issue and resources. Data available: 24 qualitative interviews transcripts (about 20 pages each), anonymized manually after collection (transmitted upon agreement and regulatory compliance: refer to "Terms of Use" statement); quantitative scores using the CRM protocol; documentation: interview guide and informed consent form.
DOI: 10.6084/m9.figshare.12298802.v1
title: Test data

description: Example data for use with MATLAB code analysing cell movement and intracellular calcium release:https://github.com/janehumphrey/calcium<br>
DOI: 10.14469/hpc/7192
title: miRNA Data from Johnson et al 2020

description: miRNA data
DOI: 10.17632/6ctbs8cyrg.2
title: SAREfit code

description: This research data contains the source code of the work "Ellipse fitting by spatial averaging of random ensembles": The method proposes a new ellipse parametrization based on the coordinates of both foci, and the distance between them and each point of the ellipse where the Euclidean norm is applied. Besides, a certain number of subsets are uniformly drawn without replacement from the overall training set which allows estimating the center of the distribution robustly by employing the L1 median of each estimated focus. An additional postprocessing stage is proposed to filter out the effect of bad fits. Several synthetic and real data tests were developed and confirmed the better outcomes. This folder contains the proposed ellipse fitting method as well as two demo codes for both synthetic and real data applications, created in MATLAB: - Run "DemoSAREfit.m" for fitting artificially generated samples. - Run "DemoSAREfit_RealData.m" for fitting samples extracted from real images. The points obtained from real images were extracted by Canny algorithm as described in the paper. Any other method can be used. Please, cite the paper as well as this research data in your work if you use the code. Thanks.
DOI: 10.17632/96ydhcwszh.1
title: Data for: 3600439

description: The attached file contains the datasets and questionanire to the study.
DOI: 10.17632/tggrsbz3bb.11
title: Dataset for country profile and mobility analysis in the assessment of COVID19 pandemic

description: Understanding the COVID-19 pandemic is a multidisciplinary effort that requires a significant number of variables. This dataset comprises (i) sociodemographic characteristics, compiled from 35 datasets obtained at UN Data; (ii) mobility metrics that can assist the analysis of social distancing, from Google Community Mobility Reports and; (iii) daily counts of cases and deaths by COVID-19, from the European Centre for Disease Prevention and Control and the Johns Hopkins University Center for Systems Science and Engineering. This unified dataset ranges from February 15, 2020 to May 7, 2020, a total of 83 days, and is provided as a collection of time series for 131 countries with 192 variables. The pipeline to preprocess and generate the dataset, along with the dataset itself, are versioned with the Data Version Control tool (DVC) and are thus easily reproducible.
DOI: 10.17632/3pxjb8knp7.2
title: Combined COVID-19 Dataset

description: This dataset is a combination of both X-ray and CT images. In addition, the involved datasets are augmented to generate 6130 Images.
DOI: 10.17632/f3s69sjg6k.4
title: Research Data for the paper untitled "New constraints from 26Al-26Mg chronology of anorthite bearing chondrules in unequilibrated ordinary chondrites" from Siron et al.

description: Research data for the Geochemica and Cosmochemica Acta paper on anorthite bearing chondrule from Siron et al. Al-Mg rawdata folder contains the raw data for all sessions of Al-Mg measurements
DOI: 10.23721/1518686
title: I-RAM Analytics (2020-05-29)

description: interface to the analytics capability of the Internet Risk Assessment & Mitigation (I-RAM) project for measuring Internet Risk. The tool provides a front-end API for analyzing the structural characteristics of dependence associated with a given set of network identifiers and their dependency relationships.
DOI: 10.5519/qd.7dxwezlv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (25 records)
DOI: 10.17632/3pxjb8knp7.3
title: Combined COVID-19 Dataset

description: This dataset is a combination of both X-ray and CT images. In addition, the involved datasets are augmented to generate 6130 Images.
DOI: 10.5255/ukda-sn-853627
title: Chilean language and reading alliance 2017-2018
DOI: 10.17632/2twf9f834v.1
title: Persistent Trajectory Modulated Hippocampal Neurons Dataset

description: This repository contains processed imaging and behavioral data used in "Trajectory-modulated hippocampal neurons persist throughout memory-guided navigation" by Kinsky, N.K, Mau, W., Sullivan, D.W., Levy, S.J., Ruesch, E.A., and Hasselmo, M.E.. Nature Communications (2020). Due to its size, raw data is housed on a different repository and will be made available upon reasonable request, e-mail Nat Kinsky (nat[dot]kinsky[at]gmail[dot]com). See also the Recording and Upload Summary.xlsx file for immediate access to a subset of raw data. Folders are provided for each imaging session. In the case that two imaging sessions were performed, the first session's folder will have a '- 1" appended after the date and the 2nd will have a "- 2" appended. Recording and Upload Summary.xlsx - tracks all recording sessions with notes about each. See notes for session specific information, and contact nat[dot]kinsky[at]gmail[dot]com with any questions. MakeMouseSessionList.mat - contains additional information about each recording including the pixel_to_cm value necessary to convert the position data in xpos_interp and ypos_interp to centimeters. All variables are saved in the processed_minimum.mat MATLAB file. Animal, Date, Session: Mouse name, date of session, and session number on a given day. Verify these match the data folder before proceeding! PSAbool - n neurons x n timestamps (Sample Rate = 20 fps) boolean of putative spiking epochs (rising phase of calcium trace above a threshold attributed to that neuron by Tenaspis v4, https://github.com/SharpWave/TENASPIS). Since the sample rate is 20fps for each movie, the first column corresponds to neuron activity at 0.05s, 2nd at 0.10s, etc. raw_trace - n neurons x n timestamps (Sample Rate = 20 fps) of fluorescence within each neuron ROI. NeuronImage - n neurons cell with boolean the size of the imaging window identifying which pixels are attributed to each neuron min_proj - single array the size of the imaging window with the minimum fluroescence values recorded in that imaging session. Used for between session alignment of neurons/imaging window. time_interp, xpos_interp, ypos_interp: arrays tracking behavioral time and x/y position in PIXELS interpolated to imaging timestamps. time_interp = 0.05 corresponds to the first value in PSAbool. Track dimension are 64cm (x direction) by 29cm (y direction) with each corridor ~7.5 cm wide. t_start_free: in order to break Mouse 4 out of a perseveration habit he developed halfway through the experiment he was forced to alternate at the beginning of a subset of sessions. This variable notes the time from the "time_interp" variable when the animal stopped being forced to alternate and was allowed to freely alternate.
DOI: 10.5440/1618330
title: Surface Water: Stage, Temperature and Discharge, Teller Road Mile Marker 27, Seward Peninsula, Alaska, beginning 2016

description: This is a continuous data set of stream water stage (water surface height above the sensor), stream water temperature, and computed discharge at the Teller Road [Mile 27] field site?s basin outlet (N64 43' 35.29649" W165 56' 48.42823"). This measuring point is near the Mile 27 marker on the Teller Highway. Stream stage and water temperature are measured every 10 minutes. Discharge in the stream is also measured every site visit using one of two different methods. Most discharge measurements in this data set use the classic USGS style wading rod to measure water velocity at multiple points (every 5 or 10 centimeters) across a known cross-section (https://pubs.usgs.gov/tm/tm3-a8/pdf/tm3-a8.pdf). The second method is the salt-slug mass diffusion method (https://www.uvm.edu/bwrl/lab_docs/protocols/2005_Moore_Slug_salt_dilution_gauging_volumetric_method_Streamline.pdf). Combining the continuous data record with the discrete observations, an initial stage-discharge relationship has been developed. In coming years, as additional discharge measurements are made, this relationship will be further refined.
DOI: 10.6084/m9.figshare.3761562.v1485
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.7910/dvn/5fipdr
title: Caution vs Proactivity: Is Cloth Mask the Right Choice?

description: This is an article we wrote about the use of cloth masks during COVID-19 crisis.
DOI: 10.7910/dvn/5fipdr/l92ivz
title: article.pdf

description: :unav
DOI: 10.17632/wnb8s664p4.1
title: Data for: Identification of circumferential regional heterogeneity of ascending thoracic aneurysmal aorta by biaxial mechanical testing

description: Raw data for the article: Identification of circumferential regional heterogeneity of ascending thoracic aneurysmal aorta by biaxial mechanical testing.
DOI: 10.5281/zenodo.3827464
title: A small dataset for analyzing spectroscopic parameters from low-cost electronic structure methods

description: This dataset comprises two files: `lee_bayesian_dataset.csv` and `raw_outputs.tar.xz`. The former corresponds to an aggregated table of data used for subsequent analysis, and the latter are raw output files from Gaussian '09. This dataset corresponds to 6916 calculations of 76 representative molecules with high-resolution gas-phase rotational constants. This version corresponds to the data used for our publication: Bayesian Analysis of Theoretical Rotational Constants from Low-Cost Electronic Structure Methods https://pubs.acs.org/doi/10.1021/acs.jpca.9b09982
description: NSF grants AST-1615847 and AST-1908576, NASA grants NNX13AE59G and 80NSSC18K0396, and computing resources from the Smithsonian Institution High Performance Cluster (SI/HPC,"Hydra") https://doi.org/10.25572/SIHPC
DOI: 10.5281/zenodo.3827465
title: A small dataset for analyzing spectroscopic parameters from low-cost electronic structure methods

description: This dataset comprises two files: `lee_bayesian_dataset.csv` and `raw_outputs.tar.xz`. The former corresponds to an aggregated table of data used for subsequent analysis, and the latter are raw output files from Gaussian '09. This dataset corresponds to 6916 calculations of 76 representative molecules with high-resolution gas-phase rotational constants. This version corresponds to the data used for our publication: Bayesian Analysis of Theoretical Rotational Constants from Low-Cost Electronic Structure Methods https://pubs.acs.org/doi/10.1021/acs.jpca.9b09982
description: NSF grants AST-1615847 and AST-1908576, NASA grants NNX13AE59G and 80NSSC18K0396, and computing resources from the Smithsonian Institution High Performance Cluster (SI/HPC,"Hydra") https://doi.org/10.25572/SIHPC
DOI: 10.5281/zenodo.3822287
title: Chinese singer 32

description: Chinese singer 32
DOI: 10.5281/zenodo.3822288
title: Chinese singer 32

description: Chinese singer 32
DOI: 10.5281/zenodo.3827448
title: CORD-19 Named Entities Knowledge Graph (CORD19-NEKG)

description: CORD-19 Named Entities Knowledge Graph (CORD19-NEKG) is an RDF dataset describing named entities identified in the scholarly articles of the COVID-19 Open Research Dataset (CORD-19), a resource of over 47,000 articles about COVID-19 and the coronavirus family of viruses. Homepage: https://github.com/Wimmics/cord19-nekg License: see LICENCE file in the dataset.
DOI: 10.15468/w46629
title: The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States

description: This dataset contains the digitized treatments in Plazi based on the original journal article Smith-Pardo, Allan H., Carpenter, James M., Kimsey, Lynn (2020): The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States. Insect Systematics and Diversity 4 (3), No. 2: 1-27, DOI: 10.1093/isd/ixaa006
DOI: 10.25739/zfwc-7s96
title: Novel Bayesian networks for genomic prediction of dynamic traits in biomass sorghum

description: We are uploading the phenotypic (plant height, dry biomass yield) and genotypic data files used in the publication: Novel Bayesian networks for genomic prediction of dynamic traits in biomass sorghum (dos Santos et al. 2019). Briefly, we genotyped the sorghum diversity panel using the genotyping-by-sequencing (GBS) procedure based on the PstI-HF/HinP1I and PstI-HF/BfaI restriction enzymes. The sequence reads were generated (100 bp length) on a HiSeq 4000 sequencer. Sequence reads were aligned to the Sorghum bicolor genome v3.1 (www.phytozome.jgi.doe.gov). The TASSEL 3 GBS pipeline (www.bytebucket.org/tasseladmin/tassel-5-source) was then used to call variants. The genotypic data file contain the (100,435 loci) variants already processed.
DOI: 10.5255/ukda-sn-852762
title: Immigrant work strategies and networks interviews, 2005
DOI: 10.5255/ukda-sn-852917
title: Anthropology of Ebola: transmission dynamics and outbreak socialities, 2015-2016
DOI: 10.5281/zenodo.3826893
title: OCR17: GT for 17th French prints

description: Machine learning starts with machine teaching: with our dataset, we distribute the data that we have gathered and created to train reliable OCR models for 17th c. French prints.
DOI: 10.5281/zenodo.3826894
title: OCR17: GT for 17th French prints

description: Machine learning starts with machine teaching: with our dataset, we distribute the data that we have gathered and created to train reliable OCR models for 17th c. French prints.
DOI: 10.21227/5mjw-jz09
title: DATASET OF PHOTOGRAPHIC FOOD RECORDS

description: Objective: No data currently exist on the reproducibility of photographic food records compared to diet diaries, two commonly used methods to measure habitual dietary intake. Our aim was to examine the reproducibility of diet diaries, photographic food records, and a novel electronic sensor, consisting of counts of chews and swallows using wearable sensors and video analysis, for estimating energy intake. Method: This was a retrospective analysis of data from a previous study, in which 30 participants (15 female), aged 29 ± 12 y and having a BMI of 27.9 ± 5.5, consumed three identical meals on different days. Four different methods were used to estimate total mass and energy intake on each day: 1) weighed food record; 2) photographic food record; 3) diet diary; and 4) novel mathematical model based on counts of chews and swallows (CCS models) obtained via the use of electronic sensors and video monitoring system. The Study staff conducted weighed food records for all meals, took pre- and post-meal photographs, and ensured that diet diaries were completed by participants at the end of each meal. All methods were compared against the weighed food record, which was used as the reference method.Results: Reproducibility was significantly different between the diet diary and photographic food record for total energy intake (p = 0.004). The photographic record had greater reproducibility versus the diet diary for all parameters measured. For total energy intake, the novel sensor method exhibited good reproducibility (repeatability coefficient (RC) of 59.9 (45.9, 70.4),which was better than that for the diet diary (RC=79.6 (55.5, 103.3)) but not as repeatable as the photographic method (RC = 43.4 (32.1, 53.9)). Conclusion: Photographic food records offer superior precision to the diet diary and, therefore, would be valuable for longitudinal studies with repeated measures of dietary intake. A novel electronic sensor also shows promise for the collection of longitudinal dietary intake data.
DOI: 10.21227/jn7g-pv77
title: DATASET OF PHOTOGRAPHIC FOOD RECORDS

description: Objective: No data currently exist on the reproducibility of photographic food records compared to diet diaries, two commonly used methods to measure habitual dietary intake. Our aim was to examine the reproducibility of diet diaries, photographic food records, and a novel electronic sensor, consisting of counts of chews and swallows using wearable sensors and video analysis, for estimating energy intake. Method: This was a retrospective analysis of data from a previous study, in which 30 participants (15 female), aged 29 ± 12 y and having a BMI of 27.9 ± 5.5, consumed three identical meals on different days. Four different methods were used to estimate total mass and energy intake on each day: 1) weighed food record; 2) photographic food record; 3) diet diary; and 4) novel mathematical model based on counts of chews and swallows (CCS models) obtained via the use of electronic sensors and video monitoring system. The Study staff conducted weighed food records for all meals, took pre- and post-meal photographs, and ensured that diet diaries were completed by participants at the end of each meal. All methods were compared against the weighed food record, which was used as the reference method.Results: Reproducibility was significantly different between the diet diary and photographic food record for total energy intake (p = 0.004). The photographic record had greater reproducibility versus the diet diary for all parameters measured. For total energy intake, the novel sensor method exhibited good reproducibility (repeatability coefficient (RC) of 59.9 (45.9, 70.4),which was better than that for the diet diary (RC=79.6 (55.5, 103.3)) but not as repeatable as the photographic method (RC = 43.4 (32.1, 53.9)). Conclusion: Photographic food records offer superior precision to the diet diary and, therefore, would be valuable for longitudinal studies with repeated measures of dietary intake. A novel electronic sensor also shows promise for the collection of longitudinal dietary intake data.
DOI: 10.14457/mu.res.1999.9
title: Studies on the molecular biology of Thalassemia and Malaria
DOI: 10.14457/mu.res.2010.106
title: Design and synthesis of new chiral derivatizing agents
DOI: 10.5281/zenodo.3826701
title: RevASIDE Data Sets: MOL'17, BTW'17, ECIR'17

description: Data sets supporting the expert search and set of reviewers assignment tasks extracted from <em>conferences Meeting on the Mathematics of Language '17</em> (MOL'17), <em>Datenbanksysteme für Business, Technologie und Web '17</em> (BTW'17) and<em> European Conference on Information Retrieval '17</em> (ECIR'17). The three data sets consist of information regarding accepted manuscripts of the venues as well as possible reviewers and information on these reviewer candidates. The manuscript data partially contains relevance assessments of reviewers with respect to these manuscripts as well as suitability rankings of sets of reviewers. The assessments were conducted by an expert from the same domain. The structure of the data is modelled in manTemplate.json and revTemplate.json (contained in Templates.zip).
DOI: 10.17632/xstjxn82z2.1
title: Data for: 3574111

description: Simulated datasets in Excel used to illustrate issues in the regression analysis of experiments, from Van Ryzin, Gregg G. (2020), "The trouble with regression analysis of (factorial) experiments" SSRN. These datasets are being made available so readers can reproduce the analyses themselves using their own software. Moreover, the spreadsheet is easily modifiable so that additional datasets, representing alternative patterns of main and interaction effects, can be generated and tested using regression and ANOVA.