cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19941164.v1
title: Ocelot 2nd Order Data

description: Used and available locations for male and female ocelots at the 2nd order (home range scale). <br> Exact location information (i.e., latitude and longitude) have been removed from this dataset due to the sensitive nature of data collected on endangered species and privacy of landowners. <br> Data provided in this file can be used to run the RSFs described in Veals et al. 2022 in Ecosphere. <br> The AnimalID column indicates the individual identification code for each oelots. Group indicates which sex and time period group the ocelot belongs to. Used represents if a point was a used location (1 = telemetry location, 0 = randomly available location). <br> Woody contains proportion of land cover (for woody vegetation) based on moving window analysis. Non-Woody similarly contains proporiton of land cover for that vegetation class. SD_Woody contains the standard deviation of woody cover at a location. Log_Low, Log_Med, and Log_High represent the log of distance (in kilometers) to the nearest road based on traffic volume classification. Traffic volume was classified based on the annual average daily traffic record provided by Texas Department of Transportation (low as &lt;1,000 AADT [&lt;1 car/minute], medium as 1,000–5,000 AADT, and high as &gt;5,000 AADT ).
DOI: 10.6084/m9.figshare.20729098
title: Supplementary Material for: Optimizing Upper-Tract Imaging for Non-Visible Haematuria

description: <b><i>Introduction:</i></b> Non-visible haematuria (NVH) is associated with a small risk of upper-tract urothelial carcinoma (UTUC), though there is little consensus on its investigation, particularly with regard to upper-tract imaging. This study aimed to determine whether the presentation of UTUC can guide investigation of NVH in patients under 60 years old. <b><i>Methods:</i></b> All patients investigated at our one-stop haematuria clinics under a cancer pathway were reviewed during a 5-year period, with all patients undergoing cystoscopy and upper-tract imaging. Retrospective analysis of all UTUC cases from our urological cancer multidisciplinary team meeting database over a 10-year period was also undertaken. <b><i>Results:</i></b> 2,129 patients with a median age of 67 years underwent urgent investigation for haematuria between March 2015 and February 2020. 449 cases presented with NVH, of whom 124 (27.6%) were under 60. Out of 21 cases of UTUC, only 2 presented with NVH; both were over the age of 60 years. Factors that independently predicted diagnosis with urinary-tract malignancy were age ≥60 (OR 3.70, <i>p</i> &lt; 0.001), visible haematuria (OR 2.50, <i>p</i> = 0.006), and suspicious cystoscopic findings (OR 58.06, <i>p</i> &lt; 0.001). Review of all 119 UTUC cases over 10 years found 6 cases (5.0%) presenting with NVH, with one (0.8%) also presenting under 60 years. <b><i>Conclusion:</i></b> Diagnosis with UTUC is rare in patients presenting with NVH under the age of 60 years. Routine use of CTU in this low-risk group is best avoided, with ultrasonography constituting a safer first-line upper-tract imaging modality. Guidelines that risk-stratify NVH patients may be effective in reducing unnecessary investigations.
DOI: 10.17632/62jm9wr36b.1
title: Mercury and Methylmercury in the Monte Amiata Mining District

description: This database includes all the geochemical data on soil, stream sediment, water, air, and mine-waste samples collected along the mining affected Paglia river catchment area (Central Italy). The data were obtained from literature review that focused on Paglia River basin.
DOI: 10.21335/nmdc-uib.2017-0001
title: Seaglider missions in the Lofoten Basin of the Norwegian Sea, 2012-2015.

description: The data set includes quality-controlled, 1-decibar vertically interpolated Seaglider observations of water column temperature and salinity profiles in the upper 1000 m, and depth averaged currents in the Lofoten Basin of the Norwegian Sea. The data set is presented in Yu et al. (2017, doi:10.1002/2017JC012982, The Lofoten Basin Eddy: Three years of evolution as observed by Seagliders. J. Geophys. Res. Oceans).The observations were provided by the Norwegian Atlantic Current Observatory (NACO) and the data set is prepared and used in the ProVoLo project (Watermass transformation processes and vortex dynamics in the Lofoten Basin of the Norwegian Sea), both funded by the Norwegian Research Council.The glider raw data were processed using the University of East Anglia.Seaglider toolbox(http://bitbucket.org/bastienqueste/uea-seaglider-toolbox). Outputs from the toolbox are separated into dives and climbs and vertically interpolated at a regular 1decibar interval. Further hard limits on salinity and  temperature were applied to exclude and interpolate outliers.Conservative Temperature and Absolute Salinity measurements were compared  to available hydrographic data managed by the Institute of Marine Research in Bergen, Norway. Absolute Salinity was corrected by a small constant offset obtained by a least-squares fitting of the glider data  between 700 m and 1000 m to reference linear T/S relationship corresponding  to the mixing line between the Atlantic Water and the deep waters below 700 m. The Conservative Temperature and Absolute Salinity data were converted back to temperature at ITS-90 scale and salinity at the practical salinity scale for archiving.
DOI: 10.5258/soton/d0445
title: Poro-elastic Dataset

description: Dataset 01 for: K.R. Daly, S.D. Keyes, and T. Roose, Determination of macro-scale soil properties from pore scale structures - Image based modelling of poroelastic structures, Proc. Roy. Soc. A. 2018
DOI: 10.5281/zenodo.6376582
title: Zellige example dataset: inner ear organoid epithelium

description: <strong>Inner ear organoid at day 14 of culture. </strong> The z-stack image encompasses half of the spherical organoid including two distinct and superimposed surfaces that correspond to the basal side of the epithelium and the apical junctional network. It was acquired with a confocal microscope (Nikon A1HD25) equipped with a Nikon Plan-Apochromat 25x lens (NA=1.05). Pixel size 0.690 µm, z step &gt;1 µm. This dataset contains both the ground-truth height maps and the height maps generated with Zellige. The Zellige parameters used are: \(T_{A}=5, T_{otsu}=12, S_{min}=5, \sigma_{xy}=2, \sigma_{z}=1, T_{OSE1}=0.9, R_{1}=5, C_{1}=0.8, T_{OSE2}=0.1, R_{2}=10, C_{2}=0.8.\) Nota: to compare the ground truth height map with the Zellige height map, one first needs to substrat 1 to all values of the Zellige height map. See the accompanying paper: Extracting multiple surfaces from 3D microscopy images in complex biological tissues with the Zellige software tool. Trébeau <em>et al.</em> 2022: https://doi.org/10.1101/2022.04.05.485876
DOI: 10.25441/arts.19487411
title: TP and NTP full dataset

description: This dataset includes statements about manuscripts from the library of St. Catherine Monastery in Sinai and specifically about the existence of leaf markers on each manuscript. The dataset is provided in three formats: CSV, OWL and RDFS.<br>Leaf markers are not individually identified. Only their existence and type is indicated. The dataset is used to demonstrate a method of describing numerous individuals and absence of types in Knowledge Bases. <br><b>all-records.csv</b> is the original data as collected at the Monastery.<br><br><b>all-records-owlcro.owl</b> holds the original data alongside fictional records of individual leaf markers for each book (these do not exist but they are necessary to demonstrate the applicable method)<br><br><b>all-records-owlcrop.owl</b> holds the original data only<br>The same logic is followed for the RDF files.<br>Due to the size of this dataset it may be possible to perform reasoning in OWL with it. A small indicative dataset is also available in this repository.<br>
DOI: 10.5066/p91liw2p
title: The Effect of Prolonged Drought on Chaparral Dieback within the Perimeters of the Thomas and Woolsey Fires in Southern California, USA

description: This dataset contains data pertaining to chaparral vegetation dieback based on the difference or change in the Normalized Difference Vegetation Index (NDVI) prior to and 6 years into an extensive drought before the 2017 Thomas and 2018 Woolsey Fires in southern California. The difference in mean NDVI is provided for 9322 study plots as are values for a number of physical and climatological variables and burn severity following the two fires. These data support the following publication: Keeley, J.E., Brennan-Kane, T.J., and Syphard, A.D., in-review. The effects of prolonged drought on vegetation dieback and megafires in southern California chaparral.
DOI: 10.5281/zenodo.1492023
title: Enumeration of complex Golay pairs

description: These files contain an enumeration of complex Golay pairs of lengths up to 28.  The method of generation is described in the paper "Enumeration of Complex Golay Pairs via Programmatic SAT" by Bright, Kotsireas, Heinle, and Ganesh, presented at ISSAC 2018, the International Symposium on Symbolic and Algebraic Computation.

The .all files contain every complex Golay pair in the given length, the .seqs files contain all individual sequences which occur in those pairs, and the .inequiv files contain only the complex Golay pairs up to an equivalence which is given in the above paper.  Every line in each file contains exactly one complex Golay pair or sequence, with spaces separating the members of the pairs. The sequence entries are encoded using the characters + for 1, - for −1, i for i, and j for −i.

A table with the sequence counts in each file is also available.
DOI: 10.5281/zenodo.5541083
title: Dataset - seismic data from central-western Italy used in the paper on rapid prediction of ground motion using a Convolutional Neural Network

description: The dataset published here is the central-western Italy dataset used in the paper "<em>Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data"</em> (https://arxiv.org/abs/2105.05075). The code for the paper is available at https://github.com/djozinovi/TLpredIM. The abstract of the paper: In a recent study (Jozinović et al, 2020) we showed that convolutional neural networks (CNNs) applied to network seismic traces can be used for rapid prediction of earthquake peak ground motion intensity measures (IMs) at distant stations using only recordings from stations near the epicenter. The predictions are made without any previous knowledge concerning the earthquake location and magnitude. This approach differs from the standard procedure adopted by earthquake early warning systems (EEWSs) that rely on location and magnitude information. In the previous study, we used 10 s, raw, multistation waveforms for the 2016 earthquake sequence in central Italy for 915 events (CI dataset). The CI dataset has a large number of spatially concentrated earthquakes and a dense station network. In this work, we applied the CNN model to an area around area near Pisa, Italy. In our initial application of the technique, we used a dataset consisting of 266 earthquakes recorded by 39 stations. We found that the CNN model trained using this smaller dataset performed worse compared to the results presented in the original study by Jozinović et al. (2020). To counter the lack of data, we adopted transfer learning (TL) using two approaches: first, by using a pre-trained model built on the CI dataset and, next, by using a pre-trained model built on a different (seismological) problem that has a larger dataset available for training. We show that the use of TL improves the results in terms of outliers, bias, and variability of the residuals between predicted and true IMs values. We also demonstrate that adding knowledge of station positions as an additional layer in the neural network improves the results. The possible use for EEW is demonstrated by the times for the warnings that would be received at the station PII.
DOI: 10.5281/zenodo.6617601
title: Applying an Inconsistency Repair Mechanism for clone-and-own Code Smell Analysis: the Apo-games Case Study (Evaluation Data)

description: This is a repository containing the artifacts and the results of the evaluation of the solution paper "Applying an Inconsistency Repair Mechanism for <em>clone-and-own</em> Code Smell Analysis: the Apo-games Case Study"
DOI: 10.5281/zenodo.6992195
title: Disorder-free localization transition in a two dimensional lattice gauge theory

description: Data files for Figs 2 and 3 from the paper "Disorder-free localization transition in a two dimensional lattice gauge theory".
description: {"references": ["Data files associated to arXiv:2203.06198"]}
DOI: 10.6084/m9.figshare.19068164
title: Online data for "Rain impacts on the surface atmosphere and upper ocean in the central equatorial Pacific"

description: Data from TAO, JRA55do, ROMS and LES used in Whitt, D.B. (2022) "Rain impacts on the surface atmosphere and upper ocean in the central equatorial Pacific" manuscript submitted for publication.
DOI: 10.15483/1455035
title: LANL - Neutral - TTU

description: This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canonical neutral ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs.
DOI: 10.5066/f7nv9hcp
title: Columbia Spotted Frog (Rana luteiventris) aCOFRx_CONUS_2001v1 Range Map

description: This dataset represents a species known range extent for Rana luteiventris (Columbia Spotted Frog). These range maps are created by attributing sub-watershed polygons with information of a species presence, origin, seasonal and reproductive use.
DOI: 10.5281/zenodo.1146010
title: Ion And Electron Kappa-Distribution Functions Along The Plasma Sheet - Time Intervals Data.

description: Data uploaded to comply with AGU Publications Data Policy.

Article:<br>
"Ion and electron kappa-distribution functions along the plasma sheet",<br>
by C.M Espinoza, M. Stepanova, P.S. Moya, E. Antonova & J.A. Valdivia.<br>
Submitted to Geophysical Research Letters.

Files:<br>
Contain the start of the 12-minute intervals that were considered for the results.

See README.TXT for more details.
DOI: 10.5281/zenodo.6337490
title: MD simulation of POPC bilayer with CHARMM36 force field, 1000 mM CaCl2

description: MD simulation of POPC bilayer with CHARMM36 force field, 1000 mM CaCl<sub>2</sub> Dataset contains simulation files including centered trajectory files. For the ease of the upload, trajectory files (.xtc) are divided to 100ns pieces (Cacl1000mM_x-x.xtc) System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8726 Salt: CaCl<sub>2</sub> Concentration: 1000 mM Number of cations: 158 Simulation time: 1000 ns Simulation engine: GROMACS 2019.5 Temperature: 300 K
DOI: 10.5281/zenodo.6564928
title: Crohn-s-Disease-WES-meta

description: Sequencing of over 100,000 individuals identifies multiple genes and rare variants associated with Crohn’s disease susceptibility Synopsis IBD exome-wide assocaition statistics from the meta-analysis of two callsets: Nextera and Twist. We used the fixed-effect meta-analysis in METAL. Column headers are self-explanatory. Allele2 is the tested/effect allele. Code availability Computer code used in this study: Hail (quality control, variants effect annotation; https://hail.is) Analysis scripts are available in folder "Hail-scripts" of this repository. SAIGE (variant-based and gene-based association test; https://github.com/weizhouUMICH/SAIGE) METAL (meta-analysis; https://genome.sph.umich.edu/wiki/METAL_Documentation) PLINK (ancestry assignment, IBD relatedness QC and sample heterozygosity QC; plink1.9, https://www.cog-genomics.org/plink/; sample level QC pipeline, https://github.com/Annefeng/PBK-QC-pipeline) Citation Sazonovs, Stevens, Venkataraman, Yuan et al., MedRxiv, 2021
DOI: 10.21947/1435012
title: NREL - Domain - d03

description: [ Not provided ]
DOI: 10.25441/arts.19487468
title: TP and NTP small dataset

description: This dataset includes statements about manuscripts from the library of St. Catherine Monastery in Sinai and specifically about the existence of leaf markers on each manuscript. The dataset is provided in three formats: CSV, OWL and RDF.<br>Leaf markers are not individually identified. Only their existence and type is indicated. The dataset is used to demonstrate a method of describing numerous individuals and absence of types in Knowledge Bases. <br><b>two-records.csv</b> is part of the original data as collected at the Monastery.<br><br><b>two-records-owlcro.owl</b> holds part of the original data alongside fictional records of individual leaf markers for each book (these do not exist but they are necessary to demonstrate the applicable method)<br><br><b>two-records-owlcrop.owl</b> holds part of the original data only<br>The same logic is followed for the RDF files.<br>The size of this dataset allows performing test reasoning in OWL. A full dataset is also available in this repository.<br>
DOI: 10.3886/icpsr04497
title: New York Times Education Poll, February 1983
title: Archival Version

description: This special topic poll, fielded February 7-12, 1983, is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. The focus on this data collection was the quality of public schools. Respondents were asked about the most important problems facing the public schools in their community, the quality of local public school teachers, community spending on public schools, and possible cost-saving measures. Several questions asked about the type of education respondents had received and how it compared to the education children received today, as well as the relevance of the subject matter taught in public schools. Opinions were also sought on proposed ways of maintaining discipline in public schools, including instituting a dress code and physical punishment. Information was also collected on whether respondents had a child who attended a local elementary or high school in the past three years, the type of school their child attended, and whether anyone in the household was employed by the local school system. Respondents were asked about their choice of school for their children if cost were not a factor and whether they favored school vouchers and tuition tax credits for children attending private schools. Demographic variables include sex, race, age, household income, education level, religious background, and whether they had a child under the age of 18.
description: The data contain a weight variable (WEIGHT) that should be used for analysis.
description: Datasets: 
 
 DS1: Dataset
description: CBS News/New York Times Poll Series
description: telephone interview 
The data available for download are not weighted, and users will need to weight the data prior to analysis.
 The data and documentation for this study were acquired from the Roper Center for Public Opinion Research. 
Value labels for unknown codes were added in variables Q2, Q4_1, Q4_2, and Q15A.
The variable AREACODE was recoded for confidentiality.
description: Adult population of the United States aged 18 and over having a telephone at home.
description: Stratified random digit dialing. Within households, respondents were selected using a method developed by Leslie Kish and modified by Charles Backstrom and Gerald Hursh (see Backstrom and Hursh, SURVEY RESEARCH, Evanston, IL: Northwestern University Press, 1963).
DOI: 10.15483/1455034
title: LANL - Convective - TTU

description: This dataset includes large-eddy simulation (LES) output from a convective atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on July 4, 2012. The dataset was used to assess the LES models for simulation of canonical convective ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs.
DOI: 10.17037/data.00002094
title: Search strategies for: "Climate action for health and wellbeing in cities: a protocol for the systematic development of a database of peer-reviewed studies using machine learning methods".

description: The search strategies were constructed for the development of a database of peer-reviewed studies on climate change mitigation and adaptation actions implemented in cities for human health and wellbeing. The development of the database followed a systematic process assisted by the use of machine learning methods for article classification to allow capturing a broad landscape of relevant literature across many disciplines and sectors. The search strategies are tailored to this purpose, and therefore, cover both explicit and implicit terms of relevance to climate change mitigation and adaptation. There are two separate sets of search terms, one capturing climate change mitigation actions and one climate change adaptation actions. Each set is comprised of three blocks of search terms. For mitigation the blocks of terms are: (climate terms OR energy terms) AND (explicit mitigation and mitigation policy terms OR sector-specific mitigation terms) AND (health terms OR wellbeing terms). For adaptation the terms are: (climate terms) AND (explicit adaptation terms including resilience OR action-specific adaptation terms) AND (health terms OR wellbeing terms). Here we present the search strategies for Medline (accessed via Web of Science). These was also translated for the Web of Science Core Collections (consisting of SCI-EXPANDED, SSCI, A&HCI, CPCI-S, CPCI-SSH, and ESCI) and Scopus. The bibliographic databases were searched in January/February 2021. Further details on the development of the search strategy are available in the study protocol (see the associated papers).
DOI: 10.17632/yv26tfc5x9.2
title: High-frequency surface-wave imaging from traffic-induced noise by selecting inline sources

description: Field data sets utilized in this study have been archived in Mendeley Data and include field data of cases 1 and 2.
DOI: 10.17632/z4mb6nsww8.4
title: Morphometric parameters diamond lattice structures

description: This dataset contains 
- the raw values of strut measures used for statistical analysis to evaluate the effect of process parameters variation on the resulting specimens'  geometry   (sheet 1: "Strut measures - DoE2" and sheet 2: "Strut measures - DoE1")
- the raw output data from ImageJ for cross section computation (sheet 3: "Cross section - DoE1")
- the raw output data from VGStudio for relative density evaluation (sheet 4: "Relative density - DoE1")
- the raw output data from compression tests with the correspondent calculations for the mechanical properties (Young's modulus, UCS, strain) (sheet 5: "Mechanical properties - DoE1")
- a resume of all the morphometric parameters extracted from the raw data adopted for graphical representation (sheet 6: "Resume - DoE1")
DOI: 10.21415/eqh2-7c42
title: PhonBank Clinical Portuguese PHONODIS Corpus