cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1170058
title: Data And Code For Article "Mid-Infrared Frequency Comb Via Coherent Dispersive Wave Generation In Silicon Nitride Nano-Photonic Waveguides"

description: This dataset contains the data presented in the figures of the article "Mid-infrared frequency comb via coherent dispersive wave generation in silicon nitride nano-photonic waveguides" (doi:10.1038/s41566-018-0144-1).

The raw data in figures (curved plots) is packaged as an independent OriginLab project file (.opj). 

The layout of the design of the silicon nitride nano-photonic waveguide is presented. Fabrication process card (shown as a diagram) is provided as well.

The source code for simulations presented in the article is also presented.
description: This publication was supported by Contract W31P4Q-16-1-0002 (SCOUT) from the Defense Advanced Research Projects Agency (DARPA), Defense Sciences Office (DSO). This material is based upon work supported by the Air Force Office of Scientific Research, Air Force Material Command, USAF under Award No. FA9550-15-1-0099. H.G. acknowledges support by funding from the European Unions Horizon 2020 research and innovation programme under Marie Sklodowska-Curie IF grant agreement No. 709249. A.B., D.G. and C.S.B. acknowledge support from the European Research Council under grant agreement ERC-2012- StG 306630-MATISSE. All samples were fabricated and grown in the Center of MicroNanoTechnology (CMi) at EPFL.
DOI: 10.15151/esrf-es-106107338
title: Holland-Belgium BAG
DOI: 10.17615/c66079
title: Community Advantage Panel Survey
DOI: 10.17632/wvgpvrwg8n.1
title: Dataset on the dynamic compressive property of expanded polystyrene sphere foam

description: Dataset on the dynamic compressive property of expanded polystyrene sphere foam
DOI: 10.5281/zenodo.1295454
title: Experiment Dataset Supplementary Materials For Dlfm 2018 Submission

description: This is the experiment dataset supplementary materials for the DLfM 2018 paper submission:


An extended jingju solo singing voice dataset and its application on automatic assessment of singing pronunciation and overall quality at phoneme-level


<strong>Files: </strong>


	 dlfm_experiment_dataset_file_list.ods: recording file names of train, validation and test sets split.
	 dlfm_experiment_dataset_phoneme_numbers.ods: phoneme numbers of each phone class in train, validation and test sets.
	 freesound_extractor_feature_list.ods: freesoundExtractor feature name list used in ANOVA feature analysis.
	 log-mel-scaler-keys-label-encoder.zip: files required for training the embedding model, includes logarithmic features, feature scaler, phoneme dictionary keys and label encoder.
	anova_analysis_essentia_feature.zip: Essentia freesoundExtractor features of each phoneme for ANOVA analysis.


The recordings listed in dlfm_experiment_dataset_file_list.ods are taken from a collection of jingju solo singing voice audio datasets, which contains three parts:


	Part 1: https://doi.org/10.5281/zenodo.780559
	Part 2: https://doi.org/10.5281/zenodo.842229
	Part 3: https://doi.org/10.5281/zenodo.1244732


<strong>Contact information</strong>:

<em>If you have any question, please contact the authors:</em>

Rong Gong: Email - rong&lt;dot&gt;gong&lt;at&gt;upf&lt;dot&gt;edu
DOI: 10.5281/zenodo.1297946
title: Data Used In The Manuscript Of James 2018Ms001386

description: data used in the manuscript of JAMES 2018MS001386
DOI: 10.5281/zenodo.1297947
title: Data Used In The Manuscript Of James 2018Ms001386

description: data used in the manuscript of JAMES 2018MS001386
DOI: 10.5281/zenodo.1182454
title: Ano4 Dataset

description: Data set  "Ano4: Ca<sup>2+</sup> dependent cation channel"

Figure 1, Figure 2, Figure 3, Figure 4, Supp (Supplemental information)
DOI: 10.5281/zenodo.1226898
title: Tail-Seq For Pabpc1 Kd Hela Samples (Internal Id: Hs20), Part 1/4

description: TAIL-seq, HiSeq 2500 run (internal ID: hs20)

spkN, spk8, spk16, spk32, spk64, spk118, spk128 spike-ins

siCont, siPABPC1 HeLa samples

This dataset contains cluster intensities of fluorescence signals that are repacked as an HDF5 formatted file (part 1/4).
DOI: 10.17632/4fjsdtdfdr.1
title: Data for: Machine learning and BIM visualization for maintenance issue classification (Python Code)

description: The hierarchical prediction algorithm developed in Python and discussed in this paper.
DOI: 10.17632/hxd6fwjjgy.1
title: Data for: Machine learning and BIM visualization for maintenance issue classification

description: The R scripts (with cropped outputs for RF and FIA approaches) providing both the algorithm details as well as insight on the actual dataset features. Note that due to Canadian Privacy laws (FIPPA), we are not permitted to upload the full dataset as employee names are present.
DOI: 10.5281/zenodo.1182453
title: Ano4 Dataset

description: Data set  "Ano4: Ca<sup>2+</sup> dependent cation channel"

Figure 1, Figure 2, Figure 3, Figure 4, Supp (Supplemental information)
DOI: 10.5281/zenodo.1295578
title: Experiment Dataset Supplementary Materials For Dlfm 2018 Submission

description: This is the experiment dataset supplementary materials for the DLfM 2018 paper submission:


An extended jingju solo singing voice dataset and its application on automatic assessment of singing pronunciation and overall quality at phoneme-level


<strong>Files: </strong>


	 dlfm_experiment_dataset_file_list.ods: recording file names of train, validation and test sets split.
	 dlfm_experiment_dataset_phoneme_numbers.ods: phoneme numbers of each phone class in train, validation and test sets.
	 freesound_extractor_feature_list.ods: freesoundExtractor feature name list used in ANOVA feature analysis.
	 log-mel-scaler-keys-label-encoder.zip: files required for training the embedding model, includes logarithmic features, feature scaler, phoneme dictionary keys and label encoder.
	anova_analysis_essentia_feature.zip: Essentia freesoundExtractor features of each phoneme for ANOVA analysis.
	pretrained_embedding_models.zip: classification embedding models pretrained on the below datasets.


The recordings listed in dlfm_experiment_dataset_file_list.ods are taken from a collection of jingju solo singing voice audio datasets, which contains three parts:


	Part 1: https://doi.org/10.5281/zenodo.780559
	Part 2: https://doi.org/10.5281/zenodo.842229
	Part 3: https://doi.org/10.5281/zenodo.1244732


<strong>Contact information</strong>:

<em>If you have any question, please contact the authors:</em>

Rong Gong: Email - rong&lt;dot&gt;gong&lt;at&gt;upf&lt;dot&gt;edu
DOI: 10.5281/zenodo.1226897
title: Tail-Seq For Pabpc1 Kd Hela Samples (Internal Id: Hs20), Part 1/4

description: TAIL-seq, HiSeq 2500 run (internal ID: hs20)

spkN, spk8, spk16, spk32, spk64, spk118, spk128 spike-ins

siCont, siPABPC1 HeLa samples

This dataset contains cluster intensities of fluorescence signals that are repacked as an HDF5 formatted file (part 1/4).
DOI: 10.6073/pasta/71a21f8dd10abfa899515effff7881c4
title: Landscape Phenology from Unmanned Aerial Vehicle Photography at Harvard Forest since 2013

description: This data set contains orthophotos in the vicinity of the EMS tower at Harvard Forest, as well as the flight logs from the unmanned aerial vehicle (UAV) used to obtain the digital images used in orthophoto creation.  Orthophotos were created by mosaicking approximately 200 JPEG images from each date of observation.  The orthophotos cover the spatial extent of the 250 meter resolution MODIS pixel that contains the EMS tower.  Land cover types in the area of photography include deciduous and evergreen forest, and wetlands.
        The research goal of data collection for this data set was to observe spatial variance in plant phenology.  Therefore, photos were taken from before leaf out until after leaf drop.  Orthophotos were collected approximately every 5 days during spring and weekly during fall; see filenames for specific dates.
        The nominal spatial resolution of the orthophotos is 6 cm, however due to various factors including inaccuracy of the onboard GPS, wind-blown motion of trees, the automated orthophoto mosaicking process, and user error in final georeferencing, image analysis has been conducted at 10 m resolution.  The orthophotos are available as GeoTIFF files.
DOI: 10.7910/dvn/5c9lcr
title: Replication Data for: The Effects of Militarized Interstate Disputes on Incumbent Voting Across Genders
DOI: 10.7910/dvn/5c9lcr/er6yo1
title: Singh and Tir Replication, Political Behavior.do
DOI: 10.7910/dvn/5c9lcr/yyyisx
title: Singh_and_Tir_PB_Replication.dta
DOI: 10.7910/dvn/gmvoi5/kucemq
title: SPID_v1.0_dynamic.do
DOI: 10.7910/dvn/gmvoi5/lzz0rg
title: SPID_v1.0_dynamic.tab
DOI: 10.7910/dvn/gmvoi5/xknivv
title: SPID_v1.0_dynamic-README.txt
DOI: 10.5281/zenodo.1227313
title: Data Associated With "A Collaborative Filtering Based Approach To Biomedical Knowledge Discovery"

description: This is the data set associated with the publication: "A collaborative filtering based approach to biomedical knowledge discovery" published in Bioinformatics.

The data are sets of cooccurrences of biomedical terms extracted from published abstracts and full text articles. The cooccurrences are then represented in sparse matrix form. There are three different splits of this data denoted by the prefix number on the files.

1. All - All cooccurrences combined in a single file

2. Training/Validation - All cooccurrences in publications before 2010 in training, all novel cooccurrences in publication in 2010 go in validation

3. Training+Validation/Test - All cooccurrences in publication upto and including 2010 in training+validation. All novel cooccurrences after 2010 in year by year increments and also all combined together

 

Furthermore there are subset files which are used in some experiments to deal with the computational cost of evaluating the full set. The associated cuids.txt file containing a link between the row/column in the matrix with the UMLS Metathesaurus CUIDs. Hence the first row of cuids.txt matches up to the 0th row/column in the matrix. Note that the matrix is square and symmetric. This work was done with UMLS Metathesaurus 2016AB.
DOI: 10.5281/zenodo.1227423
title: Bedload Rate Time Series

description: <strong>Files R1qsraw.txt to R7qsraw.txt</strong>: Bedload rate (g/s) time series for total bedload (column 1) and 14 grain size fractions over seven experimental runs (R1 to R7). Fractional bedload rates go from column 2 to 15 as follows: <br>
0.5-0.7 mm (column 2)<br>
0.7-1  mm (column 3)<br>
1-1.4  mm (column 4)<br>
1.4-2  mm  (column 5)<br>
2-2.8  mm (column 6)<br>
2.8-4  mm (column 7)<br>
4-5.6  mm (column 8)<br>
5.6-8  mm (column 9)<br>
8-11   mm  (column 10)<br>
11-16 mm   (column 11)<br>
16-22 mm  (column 12)<br>
22-32 mm (column 13)<br>
32-45 mm  (column 14)<br>
45-64 mm  (column 15)

<strong>File SurfaceDg.txt</strong>: Contains the geometric mean size for the bed surface in mm (column 2) for different experimental times (time in h, column 1)

<strong>File BedloadDg.txt</strong>: Contains the geometric mean size for the bedload in mm (column 2) every 1 h (time in h, column 1)

<strong>File slope.txt: </strong>Contains the bed slope at the thalweg in m/m (column 2) for different experimental times (time in h, column 1)
description: These data were used for the analyses in  "The effect of sediment supply regime on bedload scaling and sediment mobility " (Elgueta et al. 2018, WRR).
DOI: 10.5281/zenodo.1227430
title: Mpas-Albany Land Ice V6.0 Test Cases

description: This archive includes test case for the MPAS-Albany Land Ice v6.0 model.

See http://mpas-dev.github.io/ for links to model source code and User's Guide.
DOI: 10.5281/zenodo.1227468
title: Raw Data For Re18 Data Track (Utilizing Product Usage Data In Communication Services For Evaluating Requirement Offerings)

description: Title: Raw Data for RE18 Data Track

Submitted paper title : Utilizing Product Usage Data in Communication Services for Evaluating Requirement Offerings

Submitted paper authors: Ashkan Hemmati, S. M. Didar Al Alam, Chris Carlson
DOI: 10.17909/t9810f
title: HST UV Globular Cluster Survey ("HUGS")

description: The Large Legacy Treasury Program (GO-13297, PI: G. Piotto, 131 orbits) is a UV-initiative proposal to complement the existing F606W and F814W database of  the ACSGGCT (GO-10775, PI: A. Sarajedini, 134 orbits) by imaging a large sample of clusters through UV/blue WFC3/UVIS filters F275W, F336W and F438W.  Because these three filters are sensitive to C, N, and O abundance variations, it is possible to disentangle and characterize multiple populations in globular clusters. Combination of these UV/blue filters with the optical ones also gives the opportunity to measure the helium content of each population.  The resulting final database contains catalogs and astrometrised stacked images of 56 globular clusters and one open cluster observed during the GO-13297 (PI: Piotto) and the two pilot projects: GO-12311 (PI: Piotto) and GO-12605 (PI: Piotto). For each cluster there are three catalogs, one for each photometric method adopted. The catalogs contain information on the positions and on the photometry in five bands (F275W, F336W, F438W, F606W, and F814W) of each star found in the cluster field. The catalogs also include membership probability.
DOI: 10.3886/e100300v2
title: Wayne State University - NSF DMP Evaluation

description: To determine the overall quality of Data Management Plans (DMPs) at Wayne State University, the Library
System’s Research Data Services (RDS) team evaluated the content of 119 DMPs
from grant proposals submitted to the National Science Foundation by Wayne State University researchers between 2012 and 2014. <br><br><br><br><br>
description: Presence of Common Scales: The DMPs were
evaluated using a modified version of a rubric previously used by researchers
at the University of Michigan (Nicholls et al., 2014; Samuel et al., 2015). Our
rubric consisted of 15 items addressing the inclusion of
information requested by the NSF (National Science Foundation, 2014) and other
common pieces of information often found in DMPs. Two evaluators independently
applied the rubric to each DMP, and any inconsistencies between evaluators were
discussed and ultimately reconciled<br><br><br><br><br>
description: All NSF proposals submitted by Wayne State University researchers between 2012 and 2014.<br>
description: Convenience sample of (119) data management plans, including roughly equal number of funded/unfunded proposals.<br>
DOI: 10.5281/zenodo.1227429
title: Mpas-Albany Land Ice V6.0 Test Cases

description: This archive includes test case for the MPAS-Albany Land Ice v6.0 model.

See http://mpas-dev.github.io/ for links to model source code and User's Guide.
DOI: 10.5281/zenodo.1227467
title: Raw Data For Re18 Data Track (Utilizing Product Usage Data In Communication Services For Evaluating Requirement Offerings)

description: Title: Raw Data for RE18 Data Track

Submitted paper title : Utilizing Product Usage Data in Communication Services for Evaluating Requirement Offerings

Submitted paper authors: Ashkan Hemmati, S. M. Didar Al Alam, Chris Carlson
DOI: 10.5281/zenodo.1297620
title: Subgraphs Of Functional Brain Networks Identify Dynamical Constraints Of Cognitive Control

description: Post-processed BOLD fMRI functional connectivity data from human subjects performing two distinct cognitive control tasks.

See enclosed README file for information regarding data organization and handling.
description: This work was supported by the following funding sources: 
    -- John D. and Catherine T. MacArthur Foundation
    -- Alfred P. Sloan Foundation
    -- Paul G. Allen Foundation
    -- ARL/ARO [W911NF-10-2-0022; W911NF-14-1-0679; W911NF-16-1-0474]
    -- NIH [2-R01-DC-009209-11; 1R01HD086888-01; R01-MH107235; R01-MH107703; R01MH109520; 1R01NS099348; R21-M MH-106799]
    -- Office of Naval Research
    -- NSF [BCS-1441502; CAREER PHY-1554488; BCS-1631550; CNS-1626008]

The funders had no role in study design, data collection, processing, and analysis.
description: {"references": ["Khambhati, Ankit, et al. \"Subgraphs of functional brain networks identify dynamical constraints of cognitive control.\" bioRxiv (2017): 147272."]}
DOI: 10.5281/zenodo.1297621
title: Subgraphs Of Functional Brain Networks Identify Dynamical Constraints Of Cognitive Control

description: Post-processed BOLD fMRI functional connectivity data from human subjects performing two distinct cognitive control tasks.

See enclosed README file for information regarding data organization and handling.
description: This work was supported by the following funding sources: 
    -- John D. and Catherine T. MacArthur Foundation
    -- Alfred P. Sloan Foundation
    -- Paul G. Allen Foundation
    -- ARL/ARO [W911NF-10-2-0022; W911NF-14-1-0679; W911NF-16-1-0474]
    -- NIH [2-R01-DC-009209-11; 1R01HD086888-01; R01-MH107235; R01-MH107703; R01MH109520; 1R01NS099348; R21-M MH-106799]
    -- Office of Naval Research
    -- NSF [BCS-1441502; CAREER PHY-1554488; BCS-1631550; CNS-1626008]

The funders had no role in study design, data collection, processing, and analysis.
description: {"references": ["Khambhati, Ankit, et al. \"Subgraphs of functional brain networks identify dynamical constraints of cognitive control.\" bioRxiv (2017): 147272."]}
DOI: 10.5255/ukda-sn-5037-3
title: Building Institutions in a Vacuum: Devolution and England’s South East, 2002
DOI: 10.5255/ukda-sn-5198-3
title: Regionalisation and the New Politics of Waste, 2002-2004
DOI: 10.5255/ukda-sn-5349-3
title: Regional Referendum Study, 2004
DOI: 10.5255/ukda-sn-6373-3
title: Placing Voluntary Activism in Neo-Liberal Welfare States: a Comparative Study, 2005-2008
DOI: 10.5281/zenodo.1227312
title: Data Associated With "A Collaborative Filtering Based Approach To Biomedical Knowledge Discovery"

description: This is the data set associated with the publication: "A collaborative filtering based approach to biomedical knowledge discovery" published in Bioinformatics.

The data are sets of cooccurrences of biomedical terms extracted from published abstracts and full text articles. The cooccurrences are then represented in sparse matrix form. There are three different splits of this data denoted by the prefix number on the files.

1. All - All cooccurrences combined in a single file

2. Training/Validation - All cooccurrences in publications before 2010 in training, all novel cooccurrences in publication in 2010 go in validation

3. Training+Validation/Test - All cooccurrences in publication upto and including 2010 in training+validation. All novel cooccurrences after 2010 in year by year increments and also all combined together

 

Furthermore there are subset files which are used in some experiments to deal with the computational cost of evaluating the full set. The associated cuids.txt file containing a link between the row/column in the matrix with the UMLS Metathesaurus CUIDs. Hence the first row of cuids.txt matches up to the 0th row/column in the matrix. Note that the matrix is square and symmetric. This work was done with UMLS Metathesaurus 2016AB.
DOI: 10.5281/zenodo.1227422
title: Bedload Rate Time Series

description: <strong>Files R1qsraw.txt to R7qsraw.txt</strong>: Bedload rate (g/s) time series for total bedload (column 1) and 14 grain size fractions over seven experimental runs (R1 to R7). Fractional bedload rates go from column 2 to 15 as follows: <br>
0.5-0.7 mm (column 2)<br>
0.7-1  mm (column 3)<br>
1-1.4  mm (column 4)<br>
1.4-2  mm  (column 5)<br>
2-2.8  mm (column 6)<br>
2.8-4  mm (column 7)<br>
4-5.6  mm (column 8)<br>
5.6-8  mm (column 9)<br>
8-11   mm  (column 10)<br>
11-16 mm   (column 11)<br>
16-22 mm  (column 12)<br>
22-32 mm (column 13)<br>
32-45 mm  (column 14)<br>
45-64 mm  (column 15)

<strong>File SurfaceDg.txt</strong>: Contains the geometric mean size for the bed surface in mm (column 2) for different experimental times (time in h, column 1)

<strong>File BedloadDg.txt</strong>: Contains the geometric mean size for the bedload in mm (column 2) every 1 h (time in h, column 1)

<strong>File slope.txt: </strong>Contains the bed slope at the thalweg in m/m (column 2) for different experimental times (time in h, column 1)
description: These data were used for the analyses in  "The effect of sediment supply regime on bedload scaling and sediment mobility " (Elgueta et al. 2018, WRR).
DOI: 10.17632/2jm9ngw3g5.1
title: Thermal analysis and design

description: Here,we used the ANSYS software to simulate.Specifically,we used the module of Icepak to simulate the environment of the near space.Then we could get the result from the ANSYS Workbench. There are three source files ,which are the result of the different power of heating sheet.
DOI: 10.17632/2zg9v6krbb.1
title: ISAR Research Variable List

description: This workbook contains the lists of ISAR research variables that were suggested and standardized following the Delphi Process. These lists are suggested and voted on by the ISAR Steering committee members from the participating countries and are available outside of the ISAR Core Variables as requested by countries that prefer to collect them. Sheet 1: Safety Questionnaire Sheet 2: Comorbidity Questionnaire Sheet 3: Asthma Control Questionnaire Sheet 4: Asthma Control Test Sheet 5: Asthma Quality of Life Questionnaire Sheet 6: European Quality of Life 5 Dimensions (EQ-5d-5L) Questionnaire
DOI: 10.17632/8c82t8kn8y.1
title: Replication dataset The Impact of Armed Conflict and Terrorism on Foreign Aid

description: Replication data and do file for the results in "The Impact of Armed Conflict and Terrorism on Foreign Aid: a Sector-Level Analysis"
DOI: 10.17632/nj77stc62b.1
title: Imeall: A computational framework for the calculation of the atomistic properties of grain boundaries

description: We describe the Imeall package for the calculation and indexing of atomistic properties of grain boundaries in materials. The package provides a structured database for the storage of atomistic structures and their associated properties, equipped with a programmable application interface to interatomic potential calculators. The database adopts a general indexing system that allows storing arbitrary grain boundary structures for any crystalline material. The usefulness of the Imeall package is demonstrated by computing, storing, and analysing relaxed grain boundary structures for a dense range of low index orientation axis symmetric tilt and twist boundaries in alpha-iron for various interatomic potentials. The package’s capabilities are further demonstrated by carrying out automated structure generation, dislocation analysis, interstitial site detection, and impurity segregation energies across the grain boundary range. All computed atomistic properties are exposed via a web framework, providing open access to the grain boundary repository and the analytic tools suite.
DOI: 10.17632/wbgchgc2kp.1
title: Q2DTor: A program to treat torsional anharmonicity through coupled pair torsions in flexible molecules

description: The Q2DTor program (Quantum 2-Dimensional Torsions) is designed to calculate accurate rotational–vibrational partition functions (also called rovibrational partition functions) and thermodynamic functions for molecular systems having two or more torsions. Systems with more than two torsions can also be studied by treating the torsions by pairs. The program searches for all the torsional conformers and evaluates the rovibrational partition function using the multi-structural harmonic oscillator (MS-HO) approximation and the extended two-dimensional torsion (E2DT) approximation. The latter incorporates full coupling of the two torsions by means of the two-dimensional non-separable (2D-NS) approximation, and it also includes their influence on the remaining degrees of freedom. The program also calculates the ideal gas-phase standard-state thermodynamic functions at the requested temperatures. Twenty molecules have been used to test Q2DTor.