cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18430/m3.irrmc.3954
title: X-ray diffraction data for the SETDB1-x284 project
DOI: 10.18430/m3.irrmc.3955
title: X-ray diffraction data for the SETDB1-x287 project
DOI: 10.18430/m3.irrmc.3956
title: X-ray diffraction data for the SETDB1-x286 project
DOI: 10.18430/m3.irrmc.3970
title: X-ray diffraction data for the SETDB1-x288 project
DOI: 10.18430/m3.irrmc.4013
title: X-ray diffraction data for the SETDB1-x283 project
DOI: 10.18430/m3.irrmc.4022
title: X-ray diffraction data for the SETDB1-x289 project
DOI: 10.18430/m3.irrmc.4045
title: X-ray diffraction data for the SETDB1-x29 project
DOI: 10.18430/m3.irrmc.4084
title: X-ray diffraction data for the SETDB1-x290 project
DOI: 10.5281/zenodo.3257145
title: arabic-digital-humanities/root-extraction-validation-data: 0.1.0

description: Dataset for evaluating root extraction

This dataset contains data to evaluate the roots extracted by Arabic stemmers and morphological analyzers.

The dataset was created in the context of the Bridging the Gap project.

The <code>txt</code> directory contains the text files for which roots were extracted, and <code>gs</code> contains csv files with columns <code>word</code> and <code>root</code>, containing the words from the text and the manually corrected roots. If multiple roots apply, they have been separated using a backslash (<code>\</code>). If the word is a letter, the root is <code>#</code>.

The text files have been analyzed using SAFAR, using our software. The directories <code>khoja</code>, <code>isri</code>, and <code>alkhalil</code> contain the output xml files.

License

 

The data in this repository is licensed under a Creative Commons Attribution 4.0 International License.


	The text fragments have been taken from the OpenITI project.
	The stopword list was created by Maksim Abdul Latif.
DOI: 10.5281/zenodo.3257146
title: arabic-digital-humanities/root-extraction-validation-data: 0.1.0

description: Dataset for evaluating root extraction

This dataset contains data to evaluate the roots extracted by Arabic stemmers and morphological analyzers.

The dataset was created in the context of the Bridging the Gap project.

The <code>txt</code> directory contains the text files for which roots were extracted, and <code>gs</code> contains csv files with columns <code>word</code> and <code>root</code>, containing the words from the text and the manually corrected roots. If multiple roots apply, they have been separated using a backslash (<code>\</code>). If the word is a letter, the root is <code>#</code>.

The text files have been analyzed using SAFAR, using our software. The directories <code>khoja</code>, <code>isri</code>, and <code>alkhalil</code> contain the output xml files.

License

 

The data in this repository is licensed under a Creative Commons Attribution 4.0 International License.


	The text fragments have been taken from the OpenITI project.
	The stopword list was created by Maksim Abdul Latif.
DOI: 10.18430/m3.irrmc.4080
title: X-ray diffraction data for the SETDB1-x298 project
DOI: 10.18430/m3.irrmc.4081
title: X-ray diffraction data for the SETDB1-x299 project
DOI: 10.18430/m3.irrmc.4082
title: X-ray diffraction data for the SETDB1-x292 project
DOI: 10.18430/m3.irrmc.4083
title: X-ray diffraction data for the SETDB1-x293 project
DOI: 10.18430/m3.irrmc.4085
title: X-ray diffraction data for the SETDB1-x291 project
DOI: 10.18430/m3.irrmc.4086
title: X-ray diffraction data for the SETDB1-x296 project
DOI: 10.18430/m3.irrmc.4087
title: X-ray diffraction data for the SETDB1-x297 project
DOI: 10.18430/m3.irrmc.4088
title: X-ray diffraction data for the SETDB1-x294 project
DOI: 10.18430/m3.irrmc.4089
title: X-ray diffraction data for the SETDB1-x295 project
DOI: 10.5063/f179430g
title: Sediment organic and inorganic matter within intertidal eelgrass beds in Southeast Alaska

description: Sediment cores were collected from 21 sites along western Prince of Wales Island and the surrounding archipelago in Southeast Alaska. The cores were collected to quantify the amount of organic and inorganic material within intertidal eelgrass (Zostera marina) beds in each site. The cores were 5 cm in diameter and were divided into 2-cm layers for analysis; the deepest core reached a maximum of 70 cm in sediment depth. Both organic and inorganic material were determined via loss-on-ignition (LOI) methods, consistent with the majority of existing literature. These data were collected to compliment a larger, interdisciplinary project called APECS (Apex predators, Ecosystems, and Community Sustainability), the focus of which investigated the role that sea otters have on seagrass habitats, their ecological function, and influences on traditional and subsistence harvest of specified marine organisms.
DOI: 10.5063/f1bz64c2
title: Sediment organic and inorganic matter within intertidal eelgrass beds in Southeast Alaska

description: Sediment cores were collected from 21 sites along western Prince of Wales Island and the surrounding archipelago in Southeast Alaska. The cores were collected to quantify the amount of organic and inorganic material within intertidal eelgrass (Zostera marina) beds in each site. The cores were 5 cm in diameter and were divided into 2-cm layers for analysis; the deepest core reached a maximum of 70 cm in sediment depth. Both organic and inorganic material were determined via loss-on-ignition (LOI) methods, consistent with the majority of existing literature. These data were collected to compliment a larger, interdisciplinary project called APECS (Apex predators, Ecosystems, and Community Sustainability), the focus of which investigated the role that sea otters have on seagrass habitats, their ecological function, and influences on traditional and subsistence harvest of specified marine organisms.
DOI: 10.18430/m3.irrmc.4110
title: X-ray diffraction data for the SETDB1-x304 project
DOI: 10.18430/m3.irrmc.4111
title: X-ray diffraction data for the SETDB1-x305 project
DOI: 10.18430/m3.irrmc.4114
title: X-ray diffraction data for the SETDB1-x300 project
DOI: 10.18430/m3.irrmc.4115
title: X-ray diffraction data for the SETDB1-x301 project
DOI: 10.18430/m3.irrmc.4116
title: X-ray diffraction data for the SETDB1-x302 project
DOI: 10.18430/m3.irrmc.4117
title: X-ray diffraction data for the SETDB1-x303 project
DOI: 10.18430/m3.irrmc.4139
title: X-ray diffraction data for the SETDB1-x30 project
DOI: 10.18430/m3.irrmc.4197
title: X-ray diffraction data for the SETDB1-x3 project
DOI: 10.5063/f13j3b96
title: Sediment organic and inorganic matter within intertidal eelgrass beds in Southeast Alaska

description: Sediment cores were collected from 21 sites along western Prince of Wales Island and the surrounding archipelago in Southeast Alaska. The cores were collected to quantify the amount of organic and inorganic material within intertidal eelgrass (Zostera marina) beds in each site. The cores were 5 cm in diameter and were divided into 2-cm layers for analysis; the deepest core reached a maximum of 70 cm in sediment depth. Both organic and inorganic material were determined via loss-on-ignition (LOI) methods, consistent with the majority of existing literature. These data were collected to compliment a larger, interdisciplinary project called APECS (Apex predators, Ecosystems, and Community Sustainability), the focus of which investigated the role that sea otters have on seagrass habitats, their ecological function, and influences on traditional and subsistence harvest of specified marine organisms.
DOI: 10.18430/m3.irrmc.4008
title: X-ray diffraction data for the SETDB1-x310 project
DOI: 10.18430/m3.irrmc.4112
title: X-ray diffraction data for the SETDB1-x306 project
DOI: 10.18430/m3.irrmc.4113
title: X-ray diffraction data for the SETDB1-x307 project
DOI: 10.18430/m3.irrmc.4118
title: X-ray diffraction data for the SETDB1-x308 project
DOI: 10.18430/m3.irrmc.4119
title: X-ray diffraction data for the SETDB1-x309 project
DOI: 10.18430/m3.irrmc.4138
title: X-ray diffraction data for the SETDB1-x31 project
DOI: 10.21227/7g2x-nq64
title: FSGS for Data Transaction

description: Our proposed solution is to solve the big data transaction problem, which is based on smart contracts, digital watermarks and blockchains. Through the solution we proposed, we can solve some problems in the current big data transaction.This code mainly implements all the functions of the smart contract proposed in the paper.The image shows the FSGS we designed. The left area shows the operation interface, the lower right area shows the block information (including transaction information), and the upper right area is the code area.
DOI: 10.21227/eckg-yd40
title: FSGS for Data Transaction

description: Our proposed solution is to solve the big data transaction problem, which is based on smart contracts, digital watermarks and blockchains. Through the solution we proposed, we can solve some problems in the current big data transaction.This code mainly implements all the functions of the smart contract proposed in the paper.The image shows the FSGS we designed. The left area shows the operation interface, the lower right area shows the block information (including transaction information), and the upper right area is the code area.
DOI: 10.18430/m3.irrmc.4002
title: X-ray diffraction data for the SETDB1-x316 project
DOI: 10.18430/m3.irrmc.4003
title: X-ray diffraction data for the SETDB1-x315 project
DOI: 10.18430/m3.irrmc.4004
title: X-ray diffraction data for the SETDB1-x314 project
DOI: 10.18430/m3.irrmc.4005
title: X-ray diffraction data for the SETDB1-x313 project
DOI: 10.18430/m3.irrmc.4006
title: X-ray diffraction data for the SETDB1-x312 project
DOI: 10.18430/m3.irrmc.4007
title: X-ray diffraction data for the SETDB1-x311 project
DOI: 10.18430/m3.irrmc.3965
title: X-ray diffraction data for the SETDB1-x322 project
DOI: 10.18430/m3.irrmc.3967
title: X-ray diffraction data for the SETDB1-x320 project
DOI: 10.18430/m3.irrmc.3968
title: X-ray diffraction data for the SETDB1-x321 project
DOI: 10.18430/m3.irrmc.4001
title: X-ray diffraction data for the SETDB1-x317 project
DOI: 10.18430/m3.irrmc.4009
title: X-ray diffraction data for the SETDB1-x319 project
DOI: 10.18430/m3.irrmc.4010
title: X-ray diffraction data for the SETDB1-x318 project
DOI: 10.18430/m3.irrmc.4023
title: X-ray diffraction data for the SETDB1-x323 project
DOI: 10.18430/m3.irrmc.4137
title: X-ray diffraction data for the SETDB1-x32 project
DOI: 10.18430/m3.irrmc.3959
title: X-ray diffraction data for the SETDB1-x328 project
DOI: 10.18430/m3.irrmc.3960
title: X-ray diffraction data for the SETDB1-x329 project
DOI: 10.18430/m3.irrmc.3961
title: X-ray diffraction data for the SETDB1-x326 project
DOI: 10.18430/m3.irrmc.3962
title: X-ray diffraction data for the SETDB1-x327 project
DOI: 10.18430/m3.irrmc.3963
title: X-ray diffraction data for the SETDB1-x324 project
DOI: 10.18430/m3.irrmc.3964
title: X-ray diffraction data for the SETDB1-x325 project
DOI: 10.18430/m3.irrmc.4136
title: X-ray diffraction data for the SETDB1-x33 project
DOI: 10.18430/m3.irrmc.4215
title: X-ray diffraction data for the SETDB1-x331 project
DOI: 10.18430/m3.irrmc.4216
title: X-ray diffraction data for the SETDB1-x330 project
DOI: 10.18430/m3.irrmc.4217
title: X-ray diffraction data for the SETDB1-x333 project
DOI: 10.18430/m3.irrmc.4218
title: X-ray diffraction data for the SETDB1-x332 project
DOI: 10.18430/m3.irrmc.4219
title: X-ray diffraction data for the SETDB1-x335 project
DOI: 10.18430/m3.irrmc.4220
title: X-ray diffraction data for the SETDB1-x334 project
DOI: 10.18430/m3.irrmc.4221
title: X-ray diffraction data for the SETDB1-x337 project
DOI: 10.18430/m3.irrmc.4222
title: X-ray diffraction data for the SETDB1-x336 project
DOI: 10.18430/m3.irrmc.4072
title: X-ray diffraction data for the SETDB1-x340 project
DOI: 10.18430/m3.irrmc.4073
title: X-ray diffraction data for the SETDB1-x341 project
DOI: 10.18430/m3.irrmc.4074
title: X-ray diffraction data for the SETDB1-x342 project
DOI: 10.18430/m3.irrmc.4075
title: X-ray diffraction data for the SETDB1-x343 project
DOI: 10.18430/m3.irrmc.4135
title: X-ray diffraction data for the SETDB1-x34 project
DOI: 10.18430/m3.irrmc.4213
title: X-ray diffraction data for the SETDB1-x339 project
DOI: 10.18430/m3.irrmc.4214
title: X-ray diffraction data for the SETDB1-x338 project
DOI: 10.5061/dryad.9nm0697/1
title: Dryad Item 10.5061/DRYAD.9NM0697/1

description: (:tba)
DOI: 10.17632/gghwfcck9k.1
title: Data for: Can political inequalities explain health inequalities?

description: Aggregate measures of health inequalities and associated correlates
DOI: 10.21227/sj5w-dn70
title: FSGS for Data Transaction

description: Our proposed solution is to solve the big data transaction problem, which is based on smart contracts, digital watermarks and blockchains. Through the solution we proposed, we can solve some problems in the current big data transaction.This code mainly implements all the functions of the smart contract proposed in our paper.The image shows the FSGS we designed. The left area shows the operation interface, the lower right area shows the block information (including transaction information), and the upper right area is the code area.
DOI: 10.21227/fdcw-d832
title: FSGS for Data Transaction

description: Our proposed solution is to solve the big data transaction problem, which is based on smart contracts, digital watermarks and blockchains. Through the solution we proposed, we can solve some problems in the current big data transaction.This code mainly implements all the functions of the smart contract proposed in our paper.The image shows the FSGS we designed. The left area shows the operation interface, the lower right area shows the block information (including transaction information), and the upper right area is the code area.
DOI: 10.5281/zenodo.1475878
title: Supporting Data for "Refractive index matched, nearly hard polymer colloids" (Proc. R. Soc. A, doi:10.1098/rspa.2018.0763)

description: SAXS data [Q / Å^{-1}, I(Q) / Arb. unit, error I(Q) / Arb. unit] as *.dat files

Data for Figures 1, 2, and 5 [description and units in column headers] as *.csv files
DOI: 10.25919/5d1304152364a
title: Graphene Oxide Nanoflake Archetypes and Prototypes

description: The collection contains the atomic coordinates of the best matching graphene oxide nanoflakes to the 25 archetypes identified using archetypal analysis, and 3 prototypes identified using iterative label spreading clustering analysis, each using an ensemble data set of 20386 unique samples defined by 830 topological features, generated by relaxing each configuration at the electronic structure level with density functional tight binding.
DOI: 10.5281/zenodo.1475877
title: Supporting Data for "Refractive index matched, nearly hard polymer colloids" (Proc. R. Soc. A, doi:10.1098/rspa.2018.0763)

description: SAXS data [Q / Å^{-1}, I(Q) / Arb. unit, error I(Q) / Arb. unit] as *.dat files

Data for Figures 1, 2, and 5 [description and units in column headers] as *.csv files
DOI: 10.5281/zenodo.2571548
title: Coastal plain stream nutrient export across a gradient of urbanization

description: This dataset contains nutrient concentration, nutrient export, and stream discharge data from five coastal plain streams in North Carolina, USA across a gradient of urbanization. See the spreadsheet "metadata.csv" for information about units and missing data. Methodology and site descriptions will be made available once the manuscript using these data is published (currently in review) or by request.
DOI: 10.5281/zenodo.2571549
title: Coastal plain stream nutrient export across a gradient of urbanization

description: This dataset contains nutrient concentration, nutrient export, and stream discharge data from five coastal plain streams in North Carolina, USA across a gradient of urbanization. See the spreadsheet "metadata.csv" for information about units and missing data. Methodology and site descriptions will be made available once the manuscript using these data is published (currently in review) or by request.
DOI: 10.5281/zenodo.3257045
title: Evaluating data-flow coverage in spectrum-based fault localization

description: This release contains files with the results of the experiment comparing the use of data- and control-flow spectra for Spectrum-based Fault Localization. It also has instructions to run Jaguar to perform experiments. The subject programs used in the experiment are public available in our GitHub repository.
description: This research was supported by FAPESP (São Paulo Research Foundation), processes 13/24992-2, 14/23030-5, and 14/50937-1; by CNPq process 311174/2017-5; and by the Research Support Center on Open Source Software (NAPSoL) of the University of São Paulo.
DOI: 10.5281/zenodo.3257092
title: Details of offspring and source data for analysis of metabolic health and dietary preference in a rat model of acute alcohol exposure.

description: This Excel file contains information on the number of offspring used to examine each outcome and the raw data for each Table and Figure within a manuscript submitted to Journal of Physiology. Note there is no data included for Table 1, as this contains information on the qPCR primers for the methods.
DOI: 10.5281/zenodo.3257226
title: Recent Advances in the Computation of Asymptotes for Parametric Curves

description: [This repository contains the source data and the implementation for the manuscript "<strong>Recent Advances in the Computation of Asymptotes for Parametric Curves</strong>" submitted to Journal of Computational and Applied Mathematics; see Section 4.3]
DOI: 10.17632/m37nj7hvfr.1
title: Data for: Sudden paraparesia in an old man

description: The first consideration with this presentation pattern is a spinal cord lesion, most likely anterior cord syndrome characterized by loss of motor function, pain, pinprick, and light touch below the level of the lesion . In general, pathologic processes involving the spinal cord may be divided into processes affecting the cord or its blood supply primarily and processes that compress the cord, most often originating outside the dura.The main causes of anterior cord syndrome are external compression (such as mass, discopathy, trauma) , ischemia (such as aortic surgery or involvement, aortic angiography, laceration or thrombosis of the anterior spinal artery or a major feeding vessel, severe hypotension, myocardial infarction , vasospasm),Inflammation, infection and demyelination. Note that lesions from ischemia usually are incomplete. If the physical examination does not support a cord syndrome or cauda equina syndrome (absence of UMN signs or a clear thoracic pinprick level, loss of perianal sensation and rectal tone, and urinary retention), the patient may have a peripheral neuropathy affecting the longest nerve tracts first (such as Guillain-Barré syndrome).
DOI: 10.7910/dvn/3kkjpr
title: Ranganath & Nosek (2008): Implicit attitude generalization occurs immediately, explicit attitude generalization takes time

description: People are able to explicitly resist using knowledge about one person to evaluate another person from the same group. After learning about positive and negative behaviors performed by one individual from each of two different groups, participants were introduced briefly to new individuals from the groups. Implicit evaluations of the original individuals readily generalized to the new individuals; explicitly, participants resisted such generalization. Days later, both implicit and explicit evaluations of the original individuals generalized to the new individuals. The results suggest that associative links (e.g., shared group membership) are sufficient for implicit attitude generalization, but deliberative logic (e.g., individual group members are not necessarily the same) can reduce explicit generalization by association. When knowledge distinguishing who did what is unavailable, such as after forgetting, associative knowledge provides the basis of explicit evaluation. We conclude that a simple association linking one individual to another can produce implicit attitude generalization immediately and explicit attitude generalization eventually.
DOI: 10.7910/dvn/sh1p6s
title: Ranganath & Nosek (2008): Implicit attitude generalization occurs immediately, explicit attitude generalization takes time

description: People are able to explicitly resist using knowledge about one person to evaluate another person from the same group. After learning about positive and negative behaviors performed by one individual from each of two different groups, participants were introduced briefly to new individuals from the groups. Implicit evaluations of the original individuals readily generalized to the new individuals; explicitly, participants resisted such generalization. Days later, both implicit and explicit evaluations of the original individuals generalized to the new individuals. The results suggest that associative links (e.g., shared group membership) are sufficient for implicit attitude generalization, but deliberative logic (e.g., individual group members are not necessarily the same) can reduce explicit generalization by association. When knowledge distinguishing who did what is unavailable, such as after forgetting, associative knowledge provides the basis of explicit evaluation. We conclude that a simple association linking one individual to another can produce implicit attitude generalization immediately and explicit attitude generalization eventually.
DOI: 10.5281/zenodo.3257267
title: Data set of Ultrathin Eu- and Er-Doped Y2O3 Films with Optimized Optical Properties for Quantum Technologies

description: Data corresponding to the figures of the publication " Ultrathin Eu- and Er-Doped Y2O3 Films with Optimized Optical<br>
Properties for Quantum Technologies " by M. Scarafagio et al. J. Phys. Chem. C 2019, 123, 13354-13364<br>
(https://doi.org/10.1021/acs.jpcc.9b02597). A text file describes data in each compressed folder, please refer to the caption in the publication for more details.
DOI: 10.5281/zenodo.3257268
title: Data set of Ultrathin Eu- and Er-Doped Y2O3 Films with Optimized Optical Properties for Quantum Technologies

description: Data corresponding to the figures of the publication " Ultrathin Eu- and Er-Doped Y2O3 Films with Optimized Optical<br>
Properties for Quantum Technologies " by M. Scarafagio et al. J. Phys. Chem. C 2019, 123, 13354-13364<br>
(https://doi.org/10.1021/acs.jpcc.9b02597). A text file describes data in each compressed folder, please refer to the caption in the publication for more details.
DOI: 10.17632/2mxx8fryxm.1
title: Data for: A new Middle Devonian chitinozoan assemblage from northern Iberia

description: Count data for each chitinozoan taxon found in a 200 count of each sample. + indicates a rare taxon found outside the 200 count.
DOI: 10.17632/d2xpwmyk2j.1
title: Data for: Optimizing parallel section length for small tensile specimen with fabrication non-uniformity in thickness
DOI: 10.5281/zenodo.3257053
title: Variability and bias in measurements of metals mass fractions in automobile shredder residue

description: Measured mass fractions of various metals in individually digested test samples of automobile shredder light fraction (single_digestions_ppm.csv) and the calculated means and standard deviations of these (mean_sd_ppm.csv). For all metadata see accompanying readme file Loevik2019_metal_mass_fractions_in_automobile_SLF_Readme.txt.
DOI: 10.5281/zenodo.3257054
title: Variability and bias in measurements of metals mass fractions in automobile shredder residue

description: Measured mass fractions of various metals in individually digested test samples of automobile shredder light fraction (single_digestions_ppm.csv) and the calculated means and standard deviations of these (mean_sd_ppm.csv). For all metadata see accompanying readme file Loevik2019_metal_mass_fractions_in_automobile_SLF_Readme.txt.