cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/6f9f-nd36
title: Learning deep representations for video-based intake gesture detection

description: Video dataset of 102 participants for the paper "Learning deep representations for video-based
DOI: 10.21227/b25d-1h85
title: Learning deep representations for video-based intake gesture detection

description: Video dataset of 102 participants for the paper "Learning deep representations for video-based
DOI: 10.17031/5spiee
title: Abundance and biomass of infaunal species as part of Essential fish habitat surveys, Co. Down Coast (Northern Ireland) 2012-2013.

description: This dataset contains information on infaunal abundance and biomass from sediment grab samples off the Co. Down coast in Northern Ireland as part of an Essesntial Fish Habitat (EFH) project. Essential Fish Habitat is defined as “those waters & substrata necessary to fish for spawning, breeding, feeding or growth to maturity” and these can help to form a basis for the designation of Marine Protected Areas such as Marine Conservation Zones (MCZs). This survey was carried out on the RV Corystes in 2012 and 2013 off the Co. Down coast using a 0.1m2 day grab. In 2012 there were 88 samples taken. In 2013 there were 48 samples. Infaunal analysis, Particle Size Analysis (PSA) and Carbon & Nitrogen analysis were carried out on all samples.
DOI: 10.17632/w6vhzx2gzy.1
title: Data for: Comparative Effects of Horseradish (Moringa oleifera) Leaves and Seeds on Blood Pressure and Crucial Enzymes Relevant to Hypertension in Rat

description: All figures and tables
DOI: 10.17632/ynzy38v98k.1
title: Dataset: Antipredatory behaviour of Phymaturus williamsi depending the size of predator bird, morphology of prey and seasonality

description: This file contains the complete data structure to reproduce the results presented in the manuscript which called “Antipredatory behaviour of Phymaturus williamsi depending the size of predator bird, morphology of prey and seasonality”.
DOI: 10.17632/z7c47hw65p.2
title: Sediment resuspension data in Lake Erie

description: In situ turbidity data collected by Multi-parameter water quality sondes XR-620, XR-420 in Lake Erie, station 341; In situ total suspended solid concentration collected by pumped water samples in Lake Erie, multiple stations; ELCOM-CAEDYM model output temperature and total suspended solid concentration in Lake Erie. All the data is from Jul- Oct 2008.
DOI: 10.21227/5nhv-wq36
title: Learning deep representations for video-based intake gesture detection

description: Video dataset of 102 participants for the paper "Learning deep representations for video-based intake gesture detection"
DOI: 10.17632/w4hsj8wzm8.1
title: Discrete adjoint benchmarks

description: This data set contains meshes for three discrete adjoint benchmarks along with ADflow configuration scripts to reproduce the results in the paper. If you are interested in running your adjoint solver for comparison, it is recommended to use the provided meshes (either structured or unstructured format) and the same flow conditions and CPU cores as described in the paper. If you would like to generate your own meshes, we suggest using a similar cell number for each benchmark. When comparing the performance, please report the runtime (in Taubench work unit), peak memory usage (resident set size in GB), number of CPU cores and mesh cells, as well as a description of your adjoint solver and the computing platform (including the Tau reference runtime). ADODG3: A low-speed rectangular wing. ADODG4: The common research model (CRM) wing. ADODG5: The CRM wing-body-tail configuration. *_Multiblock_Structured_Mesh.cgns: Multiblock structured mesh files for ADflow. *_Overset_Structured_Mesh.cgns: Multiblock overset mesh files for ADflow. *_Singleblock_Unstructured_Mesh.cgns: These meshes are identical to *_Multiblock_Structured_Mesh.cgns except that they are in single block unstructured mesh format. The far field, symmetry, and wall boundary names are FARFIELD, SYMMETRY, and WING, respectively. *_FFD.xyz: Free-form deformation (FFD) files for defining design variables. *_ADflow_Run_Script.py: Python scripts for reproducing the ADflow adjoint results in the paper. See detailed instructions in the scripts. Code_Version.txt: The required codes to produce the results and their links and versions. Reference: Gaetan K.W. Kenway, Charles A. Mader, Ping He, and Joaquim R. R. A. Martins. Effective adjoint approaches in Computational Fluid Dynamics, Progress in Aerospace Sciences, 2019.
DOI: 10.17632/5zdjy99hfd.1
title: Referencia "Indicadores Económicos Mensuales Seleccionados"

description: Reference for "Indicadores Económicos Mensuales Seleccionados"
DOI: 10.17632/k344yj94mr.1
title: Indicadores Económicos Mensuales Seleccionados

description: Indicadores Económicos de la Junta de Planificación de Puerto Rico.
DOI: 10.5517/ccdc.csd.cc1nmbk5
title: CCDC 1537927: Experimental Crystal Structure Determination

description: Related Article: Junyang Feng, Shihang Yu, Kaimeng Guo, Jianding Li, Gang Li|2019|Polyhedron|169|1|doi:10.1016/j.poly.2019.04.059
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: 10.17632/np8pvsmdjm.2
title: Crude Oil Price Data for developing a hybrid ARIMA-phGMDH forecasting model

description: The data presented is in two parts, the Primary data and Secondary data. The Primary data was used in the modelling of hybrid ARIMA-phGMDH forecasting models. The Primary data consist of screened crude oil price for Three crude oil international markets; West Texas Intermediate (WTI), European Brent and the Organization of the petroleum exporting countries (OPEC) Reference Basket Prices. The Primary data has been partitioned into in-sample data and out of sample data. The secondary data includes forecast values for ARIMA, NARNET and developed hybrid ARIMA-phGMDH. It also includes Errors from forecast models
DOI: 10.5517/ccdc.csd.cc208m20
title: CCDC 1855321: Experimental Crystal Structure Determination

description: Related Article: Kuiyong Dong, Chao Pei, Qian Zeng, Lihua Qiu, Wenhao Hu, Yu Qian, Xinfang Xu|2019|Chem.Commun.|55|6393|doi:10.1039/C9CC02257K
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.2865830
title: Synchronous Activity-Space Segregation: Simulated Data

description: Simulations of full census populations of Buffalo and Utica, New York, doing Levy flights along street networks.
DOI: 10.17632/bgszv9hxsh.1
title: Fine_roots_HF

description: Fine root morphology and respiration for 6 tree speceis at the Harvard Forest, MA in June and July 2018. Associated with "Fine root respiration is more strongly correlated with an acquisition-conservation functional tradeoff than tree species identity ".
DOI: 10.7910/dvn/3feesf/2thcr9
title: y123.dat

description: Test files for fitting multilevel models in Stata, SPSS, SAS, HLM, MLWin, and other non-Bugs, non-R software. For examples 1-3
DOI: 10.7910/dvn/3feesf/df5dmy
title: y4.dat

description: Test files for fitting multilevel models in Stata, SPSS, SAS, HLM, MLWin, and other non-Bugs, non-R software. For example 4
DOI: 10.7910/dvn/3feesf/ipccb2
title: y6.dat

description: Test files for fitting multilevel models in Stata, SPSS, SAS, HLM, MLWin, and other non-Bugs, non-R software. For example 6
DOI: 10.7910/dvn/3feesf/ruqskq
title: Routput.txt

description: Test files for fitting multilevel models in Stata, SPSS, SAS, HLM, MLWin, and other non-Bugs, non-R software. Output from fitting the six models
DOI: 10.7910/dvn/3feesf/zctexa
title: createdata.R.txt

description: Test files for fitting multilevel models in Stata, SPSS, SAS, HLM, MLWin, and other non-Bugs, non-R software. The R script we used to create the fake data for the six examples
DOI: 10.17632/f9h2t766tk.1
title: ISI models

description: A set of conceptual models (for IBM Rational Rose and IHMC CmapTools) describing the basic concepts and relationships in the field of industrial safety inspection. Includes a description of the following concepts: technical object, analysis of geodesic measurements, visual measurement control, flaw detection, hardness measurement, operational diagnostics, assessment of technical condition, thickness, analysis of technical documentation, testing, formation of the conclusion for the inspection and degradation processes (for example, hydrogen embrittlement) occurring in the object of study under the influence of effecting factors.
DOI: 10.7910/dvn/3feesf/gi6oil
title: Rfit.R.txt

description: Test files for fitting multilevel models in Stata, SPSS, SAS, HLM, MLWin, and other non-Bugs, non-R software. An R script fitting each of the six models using lmer
DOI: 10.7910/dvn/3feesf/jmerc5
title: y5.dat

description: Test files for fitting multilevel models in Stata, SPSS, SAS, HLM, MLWin, and other non-Bugs, non-R software. For example 5
DOI: 10.7910/dvn/3feesf/svgd4m
title: u.dat

description: Test files for fitting multilevel models in Stata, SPSS, SAS, HLM, MLWin, and other non-Bugs, non-R software. For examples 1-3
DOI: 10.17632/8xkx8xd7st.1
title: Data for: Simulation using augmented reality for placing the angle of body position for radiography

description: We focused on learning that enables skill improvement by using students’ physical senses, and we developed a simulation using augmented reality to place the angle of body position for radiography. The simulation allows students to place the angle repeatedly by using both their hands without positioning aids and angle gauges, only by looking at a virtual object that demonstrates the angle. The simulation was used in radiography practical training and a questionnaire survey was conducted after the class (Layout_&_Rawdata.xlsx). The responses ‘Not confident’ and ‘Little confidence’ accounted for 71% (χ2 = 7.05, p = 0.008) of a question regarding students’ perception of their confidence when using computer technology (ChisquaredTest.html). All students responded positively to question 1 and questions 3–6 that were regarding learning using the simulation. However, there were a certain number of responses ‘Neither agree nor disagree’ (n = 12, 29%) or ‘Disagree’ (n = 2, 5%) only for question 2. There was no significant correlation between question 2 and responses to the question regarding students’ confidence when using computer technology (ρ = −0.03, p = 0.13) (Polychoric_correlation_coefficient.html).
DOI: 10.7910/dvn/3feesf/kcadmr
title: gelmanexamples.ZIP

description: Zip file containing data and R/Bugs code for most of the examples from the book
DOI: 10.17632/7kgf9xnrhb.2
title: Homogenized elasticity tensor database of periodic composites with microarchitectures displaying symmetric topologies

description: A database containing homogenized plane elasticity tensors that correspond to periodic biphasic composites with parameterized microstructure is stored in this DataSet. The code used to build this database is also included in the DataSet. Details of the database construction have been described in the papers "Material design of elastic structures using Voronoi cells", J.M. Podestá et. al, "Symmetry considerations for topology design in the elastic inverse homogenization problem", J.M. Podestá et. al and "Making use of Symmetries in the 3D Elastic Inverse Homogenization Problem", C.G. Méndez et. al. In those papers, this database is used as a tool for the microarchitecture topology design of elastic metamaterials. The relevant theory and formulation supporting the information stored in the database have been described in the referenced articles. The users of the present DataSet are addressed to the mentioned papers for consulting additional details. Uploaded file descriptions: a) "Readme.pdf" gives additional explanations about the content of the present database as well as a very brief description of the underlying theory. b) "DatabaseGenerationCode.zip" contains the MatLab source code to build the database of the homogenized elastic tensors, using different micro-cell parameters (such as it is described in "Readme.pdf" document and in the referenced articles). Also, in the scripts of the source codes, there are several options to change the obtained results, such as the 2D mechanical hypothesis (Plane Stress or Plane Strain), the FE mesh size or the kind of geometric vertex finalization. c) "HomogenizedElasticTensorDatabase(PlaneStress).zip" contains the database of the computed homogenized elastic tensors (using Plane Stress condition) in different directories and files which are related to different parameters defining topology pattern. The homogenized tensors are stored in Mat-Files which can be loaded and analyzed with the MatLab software. Each directory stores the Mat-Files corresponding to elastic tensors for the same geometry shape (parallel bars with and without entrance). Each Mat-File corresponds to the elastic tensors for a given volume fraction of the micro-cell. Inside of each Mat-File is stored the elastic tensors for a given set of reduced parameters defining the Bravais lattice. d) "SearchDatabaseAlgorithm.zip" contains the MatLab source code of the algorithm which performs the search of the closer homogenized elastic tensor, stored in the database “HomogenizedElasticTensorDatabase(PlaneStress).zip”, to a target effective elasticity tensor.
DOI: 10.7910/dvn/htb4hj/h75unz
title: golf.dat

description: Golf putting (Table 20.1)
DOI: 10.7910/dvn/htb4hj/lcomix
title: polls.tab

description: Pre-election polls from 1988 and Census summaries from 1990 (Section 16.6)
DOI: 10.7910/dvn/htb4hj/ozcsht
title: census88.tab

description: Pre-election polls from 1988 and Census summaries from 1990 (Section 16.6)
DOI: 10.7910/dvn/htb4hj/bh21sl
title: 1904.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/cqjv7h
title: 1908.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/eazepr
title: 1926.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/keorfb
title: 1912.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/lbjniu
title: dilution.dat

description: Serial dilution assays (Section 20.2)
DOI: 10.7910/dvn/htb4hj/yutthh
title: 1922.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.17632/gm5ppfw5mz.1
title: Evaluation and comparison of water sorption and viscoelasticity of three commercially available long term soft lining materials

description: Null hypothesis stated that there was no difference in the water soprtion and viscoelastic properties of three commercially available soft liners before and after thermocycling procedure. The thermocycling was done to artificially age the specimens replicating a time period of one year. the tan δ value are of prime importance. a perfectly elastic material has tan δ of zero. Higher values show more stiff materials.
DOI: 10.7910/dvn/htb4hj/dipj1k
title: 1932.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/pcqxmv
title: 1942.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/pd9jj1
title: 1934.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.17632/p7b2cc9vbw.3
title: Chick measurements and stable isotope signatures

description: We inferred chick diets in a breeding colony from the stable isotope profile of their feathers, and raised chicks in captivity on an either fully marine or terrestrial unrestricted diet to disentangle effects of food composition from food availability. While no effect of diet is found on the realized size, condition or growth rates of chicks in captivity, a stronger terrestrial signature corresponded with smaller realized sizes and lower condition in free-ranging chicks.
DOI: 10.5519/qd.py6ub4dm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (80 records)
DOI: 10.7910/dvn/htb4hj/kbyjuj
title: 1906.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/xmumgy
title: 1928.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/adpztc
title: 1896.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/muqivj
title: 1910.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/rbmpbl
title: 1916.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/35ttch
title: 1898.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/azgzu2
title: 1900.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/0d2smn
title: 1924.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/44lfxd
title: 1918.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/jeigvk
title: 1902.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/ry7bjo
title: 1940.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/cdlvpx
title: 1930.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/grszyo
title: 1914.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/qf8wgi
title: 1938.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/wbdcv4
title: 1920.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/zuitts
title: 1936.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/clon8c
title: 1956.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/h3qo7y
title: 1990.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/kndkhr
title: 1978.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/lhjl6a
title: 1966.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/nis572
title: 1948.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/rwckuy
title: 1964.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/v2i2fy
title: 1992.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/wzzcui
title: 1982.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/fgorym
title: 1972.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/kkm08z
title: 1980.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/nuhfks
title: excepth.asc

description: Exceptions file
DOI: 10.7910/dvn/htb4hj/8l3rzd
title: 1976.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/eaeswc
title: 1984.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/to0vqk
title: 1954.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/vrru6s
title: 1946.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/8yycax
title: 1960.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/v5hmud
title: 1944.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/crlvvm
title: 1974.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/fqcfda
title: 1950.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/kecvhw
title: house.doc

description: Description of data and data for the elections.
DOI: 10.7910/dvn/htb4hj/ldanr0
title: 1958.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/pxjmkn
title: 1986.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/ychnbj
title: 1968.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/2rcgzd
title: 1962.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/5rz6zr
title: 1970.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/jbyoy0
title: football.asc

description: Football scores and point spreads (Figure 1.1) in ASCII format
DOI: 10.7910/dvn/htb4hj/mfqttm
title: 1952.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/nm40bm
title: 1988.asc

description: Data on congressional elections used in the analysis of incumbency
 advantage in Section 8.4 of the book
DOI: 10.7910/dvn/htb4hj/oj1hfs
title: light.asc

description: Speed of light measurements (Figure 3.1)
DOI: 10.7910/dvn/htb4hj/fkf454
title: phones.asc

description: Telephone survey responses by number of phone lines and household size (Table 7.8)