cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.835533
title: 1151 Commits With Software Maintenance Activity Labels (Corrective,Perfective,Adaptive)

description: Data format: CSV

Separator character: '#'

<strong>This dataset contains 1151 commits manually labeled with maintenance activities ("c" for corrective, "p" for perfective, "a" for adaptive)</strong> according to the definition by Mockus et al. in  <em>"Mockus, A. and Votta, L.G., 2000, October. Identifying Reasons for Software Changes using Historic Databases. In icsm (pp. 120-130)"</em>.

In addition, this dataset also contains <strong>further information (features) extracted from the commits</strong>:


	The <strong>source code changes</strong> performed by the commit author as part of a given commit (statement added, statement removed, etc.)

	
		The source code change taxonomy is detailed in <em>"Fluri, B. and Gall, H.C., 2006, June. Classifying change types for qualifying change couplings. In Program Comprehension, 2006. ICPC 2006. 14th IEEE International Conference on (pp. 35-45). IEEE."</em>
	
	
	A binary indication (1/0) whether a given commit contains any of the <strong>keywords from a pre-computed </strong>(according to a word frequency analysis)<strong> set of keywords</strong> <strong>indicative of each maintenance activity</strong>.


The dataset consists of commits sampled from the following open source projects:


	RxJava
	hbase
	elasticsearch
	intellij-community
	hadoop
	drools
	kotlin
	restlet-framework-java
	orientdb
	camel
	spring-framework    


This dataset is a supporting material for the paper <strong>"Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes", to appear in PROMISE 2017.</strong>
DOI: 10.5281/zenodo.835612
title: Rdp Lsu Taxonomic Training Data Formatted For Dada2  (Trainingset 11)

description: I used a machine with Ubuntu 16.04 and DADA2 (vsn 1.5.2) to coax the Ribosomal Database Project's Training set 11 and the current release of the RDP database (for the unaligned fasta) into a DADA2 compatible format. If you use this, please cite the original sources too!

<br>
#1  Wrangle the RDP trainingsets and unaligned data into the downloads folder either by manually downloading them or by executing this from a terminal and move the file somewhere with &lt;30GB free

I used wget in a terminal:<br>
wget https://sourceforge.net/projects/rdp-classifier/files/RDP_Classifier_TrainingData/RDPClassifier_fungiLSU_trainsetNo11_rawtrainingdata.zip/download  <br>
wget http://rdp.cme.msu.edu/download/current_Fungi_unaligned.fa.gz

#2  Unzip the trainingset file and replace Us with Ts in the fasta by executing in terminal<br>
awk 'NR%2==0 {gsub(/[uU]/,"T"); print} NR%2==1' /media/lauren/96BA-19E6/fungallsu/RDPClassifier_fungiLSU_trainsetNo11_rawtrainingdata/fungiLSU_train_012014.fa &gt; /media/lauren/96BA-19E6/fungallsu/RDPClassifier_fungiLSU_trainsetNo11_rawtrainingdata/fungiLSU_train_012014_lsu_fixed.fa

#3  In R.Studio, summon the dada2 pkg <br>
library(dada2);packageVersion("dada2")

#4  Transform the RDP formatted training fastas<br>
path&lt;-"~"#change this to where your files sit on your computer<br>
dada2:::makeTaxonomyFasta_RDP(file.path(path, "fungiLSU_train_012014_lsu_fixed.fa"), file.path(path, "fungiLSU_taxid_012014.txt"),"fungiLSU_trainset_012014.fa.gz")<br>
dada2:::makeSpeciesFasta_RDP("current_Fungi_unaligned.fa", "rdp_species_assignment_LSU.fa")
description: This work was supported by NIEHS grant P42-ES010356
DOI: 10.5281/zenodo.835613
title: Rdp Lsu Taxonomic Training Data Formatted For Dada2  (Trainingset 11)

description: I used a machine with Ubuntu 16.04 and DADA2 (vsn 1.5.2) to coax the Ribosomal Database Project's Training set 11 and the current release of the RDP database (for the unaligned fasta) into a DADA2 compatible format. If you use this, please cite the original sources too!

<br>
#1  Wrangle the RDP trainingsets and unaligned data into the downloads folder either by manually downloading them or by executing this from a terminal and move the file somewhere with &lt;30GB free

I used wget in a terminal:<br>
wget https://sourceforge.net/projects/rdp-classifier/files/RDP_Classifier_TrainingData/RDPClassifier_fungiLSU_trainsetNo11_rawtrainingdata.zip/download  <br>
wget http://rdp.cme.msu.edu/download/current_Fungi_unaligned.fa.gz

#2  Unzip the trainingset file and replace Us with Ts in the fasta by executing in terminal<br>
awk 'NR%2==0 {gsub(/[uU]/,"T"); print} NR%2==1' /media/lauren/96BA-19E6/fungallsu/RDPClassifier_fungiLSU_trainsetNo11_rawtrainingdata/fungiLSU_train_012014.fa &gt; /media/lauren/96BA-19E6/fungallsu/RDPClassifier_fungiLSU_trainsetNo11_rawtrainingdata/fungiLSU_train_012014_lsu_fixed.fa

#3  In R.Studio, summon the dada2 pkg <br>
library(dada2);packageVersion("dada2")

#4  Transform the RDP formatted training fastas<br>
path&lt;-"~"#change this to where your files sit on your computer<br>
dada2:::makeTaxonomyFasta_RDP(file.path(path, "fungiLSU_train_012014_lsu_fixed.fa"), file.path(path, "fungiLSU_taxid_012014.txt"),"fungiLSU_trainset_012014.fa.gz")<br>
dada2:::makeSpeciesFasta_RDP("current_Fungi_unaligned.fa", "rdp_species_assignment_LSU.fa")
description: This work was supported by NIEHS grant P42-ES010356
DOI: 10.5517/ccdc.csd.cc1nmygp
title: CCDC 1538513: Experimental Crystal Structure Determination

description: Related Article: Erick Correa-Ayala, Carlos Campos-Alvarado, Daniel Chávez, David Morales-Morales, Simón Hernández-Ortega, Juventino J. García, Marcos Flores-Álamo, Valentín Miranda-Soto, Miguel Parra-Hake|2017|Inorg.Chim.Acta|466|510|doi:10.1016/j.ica.2017.06.064
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: 10.5517/ccdc.csd.cc1nmyhq
title: CCDC 1538514: Experimental Crystal Structure Determination

description: Related Article: Erick Correa-Ayala, Carlos Campos-Alvarado, Daniel Chávez, David Morales-Morales, Simón Hernández-Ortega, Juventino J. García, Marcos Flores-Álamo, Valentín Miranda-Soto, Miguel Parra-Hake|2017|Inorg.Chim.Acta|466|510|doi:10.1016/j.ica.2017.06.064
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: 10.5517/ccdc.csd.cc1nmyjr
title: CCDC 1538515: Experimental Crystal Structure Determination

description: Related Article: Erick Correa-Ayala, Carlos Campos-Alvarado, Daniel Chávez, David Morales-Morales, Simón Hernández-Ortega, Juventino J. García, Marcos Flores-Álamo, Valentín Miranda-Soto, Miguel Parra-Hake|2017|Inorg.Chim.Acta|466|510|doi:10.1016/j.ica.2017.06.064
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/h9ttt25y2t.1
title: Rodriguez Valle et al 'Transcriptome and toxin family analysis of the paralysis tick, Ixodes holocyclus' Supplementary Figure 1

description: Comparison of Gene Ontology (GO) terms found in the SG and VISC libraries of fully engorged I. holocyclus adult female ticks. Only significant differences (p&lt;0.05) were included for representation as determined by the WEGO website (http://wego.genomics.org.cn/cgi-bin/wego/index.pl).
DOI: 10.17632/xfcmn52x2h.1
title: Rodriguez Valle et al

description: 1H NMR spectra for HT1-4. Spectra for each peptide dissolved in 90% H2O/10% D2O (pH 3.5 – 4.0) were recorded at 298 K on a Bruker Avance 600 NMR spectrometer. All four peptides exhibited well-dispersed peaks in the amide region (6 – 8 ppm), which is indicative with a well-defined three dimensional structure.
DOI: 10.17632/xfcmn52x2h.2
title: Rodriguez Valle et al Transcriptome and toxin family analysis of the paralysis tick, Ixodes holocyclus, Supplementary Figure 2

description: 1H NMR spectra for HT1-4. Spectra for each peptide dissolved in 90% H2O/10% D2O (pH 3.5 – 4.0) were recorded at 298 K on a Bruker Avance 600 NMR spectrometer. All four peptides exhibited well-dispersed peaks in the amide region (6 – 8 ppm), which is indicative with a well-defined three dimensional structure.
DOI: 10.17632/yv7m8xdfn6.2
title: Data for: The Association of Folate and Depression: A Meta-Analysis

description: Files used for full data (APRILEXCEL1), for full data without outliers (April Excel No Outliers 1), and for subgroup analyses. Includes R script (MetaBH).
DOI: 10.17632/rm88dg7gyx.1
title: Rodriguez Valle et al 2017 Transcriptome and toxin family analysis of the paralysis tick, Ixodes holocyclus, Supplementary Table 2

description: Top 1000 differentially expressed genes between salivary gland and viscera transcriptome datasets. High quality Illumina reads sequenced for salivary gland (SG3 and SG5) and viscera (VIS4 and VIS6) samples were aligned onto 68,066 Ixodes holocyclus reference transcripts using Bowtie 2 (Langmead and Salzberg, 2012). Aligned raw counts were calculated using SAMtools (Li et al., 2009) and differential expressed transcripts between Salivary Gland and Viscera samples was calculated using edgeR (Robinson et al., 2010) with genes with at least a read per million in three samples. The tool eXpress (Roberts and Pachter, 2013) was used to calculate gene expression statistics including normalised read counts and fragments per kilobase of exon per million mapped reads (FPKM). Annotation of I. holocyclus transcripts was performed using AutoFACT (Koski et al., 2005).
DOI: 10.17632/shf9hkxwgh.1
title: Rodriguez Valle et al 'Transcriptome and toxin family analysis of the paralysis tick, Ixodes holocyclus' Supplementary Table 1A

description: Salivary gland transcript list and cluster analysis with AutoFACT descriptions, e values, annotations, Signal P and TMHMM predictions.
DOI: 10.17632/t759yb2v87.1
title: Rodriguez Valle et al 2017 Transcriptome and toxin family analysis of the paralysis tick, Ixodes holocyclus, Supplementary Table 1B

description: Viscera transcript list and cluster analysis with AutoFACT descriptions, e values, annotations, Signal P and TMHMM predictions.
DOI: 10.17632/x8vd8f46b5.1
title: Rodriguez Valle et al Transcriptome and toxin family analysis of the paralysis tick, Ixodes holocyclus. Supplementary Table 3

description: Identity percentage similarity of all holocyclotoxins used in construction of the tree Figure 4B in Rodriguez Valle et al 2017.
DOI: 10.17632/94tc9t3txs.3
title: Integration of sweet taste and metabolism determines carbohydrate reward

description: Behavioral data for manuscript "Integration of sweet taste and metabolism determines carbohydrate reward" Maria Geraldine Veldhuizen, Richard Keith Babbs, Barkha Patel, Wambura Fobbs, Nils B Kroemer, Elizabeth Garcia, Martin R. Yeomans, and Dana M Small. Summary of paper: Post-ingestive signals related to nutrient metabolism are thought to be the primary drivers of reinforcement potency of energy sources. Here, in a series of neuroimaging and indirect calorimetry human studies, we examine the relative roles of caloric load and perceived sweetness in driving metabolic, perceptual and brain responses to sugared beverages. Whereas caloric load was manipulated using the tasteless carbohydrate maltodextrin, sweetness levels were manipulated using the non-nutritive sweetener sucralose. By formulating beverages that contain different amounts of maltodextrin+sucralose, we demonstrate a non-linear association between caloric load, metabolic response and reinforcement potency, which is driven in part by the extent to which sweetness is proportional to caloric load. In particular, we show that (1) lower calorie beverages can produce greater metabolic response and condition greater brain response and liking than higher calorie beverages and (2) when sweetness is proportional to caloric load greater metabolic responses are observed. These results demonstrate a non-linear association between caloric load and reward and describe an unanticipated role for sweet taste in regulating carbohydrate metabolism, revealing a novel mechanism by which sugar-sweetened beverages influence physiological responses to carbohydrate ingestion.
DOI: 10.17632/dw829rdbm3.1
title: SETA Support DARPA FY2010 and FY2015 Database

description: SETA Support DARPA FY2010/FY2015 Database contains information on contracts and performers of DARPA in 2010 and 2015 fiscal years. Contains information on 3793 contracts, including: Contract Number, Performer's Name, Performer's Type, Agent Name, Program Type (6.1, 6.2, 6.3, or unknown (X)), Program Name, DARPA Office, Program Manager, Fiscal Year, Obligated, SETA Marker, Ratio (SETA/Total), as well as Whole Program Costs and Whole Program SETA-support Costs. Abbreviations: SETA - systems engineering and technical assistance; DARPA - Defense Advanced Research Projects Agency.
DOI: 10.17632/pjr59z9sfw.1
title: SEGMENTATION OF BONE AND MUSCLE STRUCTURES

description: THE ZIP FILE CONTAINS MAT FILES WITH THE TRAINING AND TEST DATASETS USED FOR THE SEGMENTATION OF MUSCLE AND BONE STRUCTURES IN CT VOLUMES.
DOI: 10.17632/v3hkvfh3gp.1
title: Dataset: Changing levels of disgust through imagery rescripting and cognitive reappraisal in contamination-based obsessive-compulsive disorder: an experimental study
DOI: 10.17632/wgnjc98ckf.1
title: Effect of antipsychotic drugs on p110δ enzymatic activity

description: The direct effect of haloperidol, clozapine, olanzapine, quetiapine and amisulpride on p110δ enzymatic activity was tested with a kinase assay
DOI: 10.17632/29y4xynz34.1
title: 13C satellite-free 1H NMR spectra

description: Bruker pulse sequences and experimental data for the DISPEL method of suppressing 13C satellites in 1H NMR
DOI: 10.17632/p88k6vjz32.1
title: Power, Expected Value, and Excessive Risk-Taking

description: To investigate the influence of the sense of power on decision making under risk, we conducted an experiment with sixty participants and found evidence which suggests that a heightened sense of power results in excessive risk-taking. We primed the experimental group with a high-power mindset and the control group with a neutral mindset and asked participants to answer a series of hypothetical questions on expected value. The results of a chi-square test suggest that participants who were primed with a heightened sense of power tend to focus on high but unlikely rewards. We propose that there is a link between a heightened sense of power and suboptimal economic decision making, and model this in the prospect theory framework.
DOI: 10.17632/r7v96zf5pp.1
title: Wild birds use an ordering rule to decode novel call sequences. Suzuki et al

description: Raw data of playback experiments and acoustic analyses.
DOI: 10.5517/ccdc.csd.cc1n6n6q
title: CCDC 1525733: Experimental Crystal Structure Determination

description: Related Article: Xu-Feng Yang, Hai-Bin Zhu, Min Liu|2017|Inorg.Chim.Acta|466|410|doi:10.1016/j.ica.2017.06.067
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: 10.5517/ccdc.csd.cc1n6n7r
title: CCDC 1525734: Experimental Crystal Structure Determination

description: Related Article: Xu-Feng Yang, Hai-Bin Zhu, Min Liu|2017|Inorg.Chim.Acta|466|410|doi:10.1016/j.ica.2017.06.067
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.835510
title: Icubworld-Transformations

description: A complete description of this dataset is available at https://robotology.github.io/iCubWorld .
DOI: 10.5517/ccdc.csd.cc13srf2
title: CCDC 1036684: Experimental Crystal Structure Determination

description: Related Article: Eduardo Guimarães Ratier de Arruda, Marcelo Alexandre de Farias, Sergio Augusto Venturinelli Jannuzzi, Stella de Almeida Gonsales, Ronaldo Adriano Timm, Surender Sharma, Giorgio Zoppellaro, Lauro Tatsuo Kubota, Marcelo Knobel, André Luiz Barboza Formiga|2017|Inorg.Chim.Acta|466|456|doi:10.1016/j.ica.2017.06.073
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: 10.5517/ccdc.csd.cc1n7vxn
title: CCDC 1526902: Experimental Crystal Structure Determination

description: Related Article: Tatu Pantsar, Prosanta Singha, Tapio J. Nevalainen, Igor Koshevoy, Jukka Leppänen, Antti Poso, Juha M.A. Niskanen, Sanna Pasonen-Seppänen, Juha R. Savinainen, Tuomo Laitinen, Jarmo T. Laitinen|2017|Eur.J.Pharm.Sci.|107|97|doi:10.1016/j.ejps.2017.07.002
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: 10.5517/ccdc.csd.cc1n8299
title: CCDC 1527100: Experimental Crystal Structure Determination

description: Related Article: Izabela Dybała, Irena Wawrzycka-Gorczyca, Marta Struga|2017|J.Mol.Struct.|1147|786|doi:10.1016/j.molstruc.2017.07.004
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: 10.5517/ccdc.csd.cc1n82bb
title: CCDC 1527101: Experimental Crystal Structure Determination

description: Related Article: Izabela Dybała, Irena Wawrzycka-Gorczyca, Marta Struga|2017|J.Mol.Struct.|1147|786|doi:10.1016/j.molstruc.2017.07.004
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: 10.5517/ccdc.csd.cc1m6z4y
title: CCDC 1496250: Experimental Crystal Structure Determination

description: Related Article: Yang Wang, Xiao-Meng Lin, Feng-Ying Bai, Li-Xian Sun|2017|J.Mol.Struct.|1149|379|doi:10.1016/j.molstruc.2017.07.015
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: 10.7910/dvn/7zgonu
title: Replication Data for: "The Inventory of Depressive Symptomatology Self Report (IDS-SR): Psychometric Properties of The Indonesian Version"
DOI: 10.5517/ccdc.csd.cc1n9010
title: CCDC 1527991: Experimental Crystal Structure Determination

description: Related Article: Ai-Jiang Zhang, Chang-Juan Chen, Ning Zhang, Dong-Yang Lou, Chen-Xu Qiao, Yu-Hang Miao, Jiang-Bo Hu, Rui-Ling Li|2017|Inorg.Chim.Acta|466|529|doi:10.1016/j.ica.2017.05.079
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: 10.5517/ccdc.csd.cc1n9021
title: CCDC 1527992: Experimental Crystal Structure Determination

description: Related Article: Ai-Jiang Zhang, Chang-Juan Chen, Ning Zhang, Dong-Yang Lou, Chen-Xu Qiao, Yu-Hang Miao, Jiang-Bo Hu, Rui-Ling Li|2017|Inorg.Chim.Acta|466|529|doi:10.1016/j.ica.2017.05.079
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: 10.5517/ccdc.csd.cc1n9032
title: CCDC 1527993: Experimental Crystal Structure Determination

description: Related Article: Ai-Jiang Zhang, Chang-Juan Chen, Ning Zhang, Dong-Yang Lou, Chen-Xu Qiao, Yu-Hang Miao, Jiang-Bo Hu, Rui-Ling Li|2017|Inorg.Chim.Acta|466|529|doi:10.1016/j.ica.2017.05.079
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: 10.5517/ccdc.csd.cc1n9043
title: CCDC 1527994: Experimental Crystal Structure Determination

description: Related Article: Ai-Jiang Zhang, Chang-Juan Chen, Ning Zhang, Dong-Yang Lou, Chen-Xu Qiao, Yu-Hang Miao, Jiang-Bo Hu, Rui-Ling Li|2017|Inorg.Chim.Acta|466|529|doi:10.1016/j.ica.2017.05.079
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.835747
title: Real Time, In-Situ Deuteriding Of Uranium Encapsulated In Grout; Effects Of Temperature On The Uranium-Deuterium Reaction

description: To accurately predict the initiation and evolution of uranium hydride potentially present in nuclear waste containers, studies of simulated conditions are required. Here, for the first time, the uranium-deuterium reaction was examined in-situ, in real time, whilst within grouted media. A deuterium gas control rig and stainless steel-quartz glass reaction cell were configured on a synchrotron beam line to collect X-ray diffraction and X-ray tomography data. It was found that deuteride formation, and thus hydride formation, was limited by the uranium and grout thermal conductivities and deuteride initiation only commenced above a threshold temperature. Strong adherence between uranium oxide and grout was also observed.
description: Raw data from this article described