cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7n6rk5zgjj.1
title: SCLC HTGEdge RNAseq dataset

description: Samples 64 FFPE samples were provided as unstained and H&E slides. Macrodissection was performed if indicated on the slide. Macrodissection is indicated in the "Samples" tab. Macrodissection marks were provided by the customer. Slides were scraped and lysed at 12.5 mm2/35 µl for all samples except those marked in column U in the "Samples" tab. Please see the "Samples" tab for more information on samples. Assay HTG EdgeSeq Oncology Biomarker Panel Each sample was run at 12.5 mm2/well, except for 26/I and 33/III (run at 6 mm2/well) and 134/III (run at 5 mm2/well). All samples were run as singletons. Samples were tagged and individually cleaned up, quantitated, and loaded onto an Illumina NextSeq Sequencing run designation is 15-Sep-2017 Data and QC All samples passed QC. Sample 271-I was close to the QC threshold, but still passed. Raw data, CPM standardized data, and Normalized data have been provided on separate tabs. The Sample Information tab shows the samples in this run and their associated information. We performed a second run of 271-I, but the QC threshold was in the same place. This second run had more reads and is available on request. Please address any questions to dthompson@htgmolecular.com Debrah Thompson/HTG 26.szept.17 In this cohort 32 histologically confirmed, early stage SCLC primary tumor and matched metastases samples are included. Under the "normalized" spreadsheet patient samples are categorized to Neuroendocrine (NE)-low and NE-high according to gene expression data previously publised (Rudin et al, 2019) Rudin CM, Poirier JT, Byers LA, Dive C, Dowlati A, George J, Heymach JV, Johnson JE, Lehman JM, MacPherson D et al (2019) Molecular subtypes of small cell lung cancer: a synthesis of human and mouse model data. Nat Rev Cancer 19, 289–297.
DOI: 10.17632/8yjbfgcfvn.2
title: Prize-collecting covering tour problem

description: 144 instances for the Prize-collecting covering tour problem
DOI: 10.17632/gvzn7577jk.1
title: Wang et al 2018 "Nuclear entry and export of FIH are mediated by HIF1α and exportin1, respectively"

description: Data supporting the repeat of Figure 3A, Wang et al 2018, Journal of Cell Science, "Nuclear entry and export of FIH are mediated by HIF1α and exportin1, respectively" Microscopy images and mycoplasma testing results.
DOI: 10.17632/hy9smjhc9n.1
title: In-situ deformation of new crystals growing in partially molten metapelitic rock - EBSD Data

description: Raw EBSD data used in the article "In-situ deformation of new crystals growing in partially molten metapelitic rock".
DOI: 10.17632/pytpn3v8pw.1
title: Mediation Analysis of the Relationship between health-related knowledge and attitudes and health risk behaviors among Portuguese university students

description: This cross-sectional study has examined, by resorting to a self-reporting questionnaire, the relationship between health-related knowledge and attitudes and health risk behaviors among of 840 Portuguese university, using a stratified sampling depending on the academic year and the scientific area of study. The analysis of structural equations was used to analyze the relationship between all variables that constitute the study. Results arising from this research have shown that university students do indeed engage in behaviors that constitute a risk for their health, revealing poor knowledge about health and moderately favorable attitudes towards the adoption of engagement in risk behaviors. The mediation analysis indicated that the degree or quality of knowledge about health and the attitudes regarding health were statistically significant predictive factors for identifying risk behaviors. Furthermore, it has been demonstrated and revealed that the attitudes towards health have a mediating effect between knowledge about health and the risk behaviors for one’s health. Findings from this study indicate that public health and education policies should promote healthy behaviors among university students. The interventions may take advantage of and expand upon the positive health behaviors and consider individual differences.
DOI: 10.17632/bfjzy9cdkf.1
title: Regeneration and Landscape Configuration Data Tables

description: This file contain the original data table used to examine the relationship between dominant patterns of forest regeneration and landscape configuration indices in the Mesoamerican Biological Corridor (MBC) from 2000 - 2019. The data were used to examine if patterns of forest regeneration for each ejido in the MBC correlate with patterns of forest regeneration at the beginning (2000) and end (2019) of the study period, using the Spearman's Rank Order Correlation test in R Statistical Software. The data were also used to examine if patterns of forest regeneration and changes to forest configurations for each ejido varied regionally, between five municipalities. These data were tested using one way analysis of variance tests and Tukey's Honest Significant Difference tests in R Statistical Software. Each row of data is associated with an individual ejido in the MBC (Column name = FID, n = 156). Each of these individual ejidos lies within one of 5 municipalities (Column name = NOM_MUN, n = 5). Forest configuration indices (forest cover (f), non forest cover (nf), mean agricultural patch size (MeanAgChangeNorm), core index (Core), islet index (Islet), perforation index (Perforation), and fragmentation index (Frag)) are listed for both the year 2000 (00) and the year 2019 (19). Values of forest configuration change, calculated as the difference between 00 and 19 are also listed. Measures of regeneration include percent of total regeneration for each ejido (TotalRegen), percent of permanent regeneration for each ejido (PermRegen, percent of high permanence regeneration occurring at the end of the study period for each ejido (HC), and percent of medium permanence regeneration occurring at the end of the study period for each ejido (MC). Measures of forest regeneration were calculated using a cartographic model developed in ArcGIS Version 10. Measures of forest configuration were calculated using the Morphological Spatial Pattern Analysis in GuidosToolbox V 2.7 and FragStats V 4.2 programs. Authors of these data are: Alana M. Rader, alana.rader@rutgers.edu Questions about these data can be directed to: Alana M. Rader, alana.rader@rutgers.edu
DOI: 10.17632/wg4wjhdjmv.1
title: Mutualism between Dark Septate Endophytes (DSEs) and their Host Plants under Metal Stress: A Case Study

description: The data is the raw data of the paper “Mutualism between Dark Septate Endophytes (DSEs) and their Host Plants under Metal Stress: A Case Study” and contain DSE colonization, Zn concentrations accmulated in maize and in DSE mycelia, and subcellular distribution of Zn in maize and DSE.
DOI: 10.5281/zenodo.4591584
title: Dataset related to the article "Overall dietary variety and adherence to the Mediterranean diet show additive protective effects against coronary heart disease"

description: This record contains raw data related to the article: Overall dietary variety and adherence to the Mediterranean diet show additive protective effects against coronary heart disease <em>Background and aim:</em> Along with the increasing evidence of the cardioprotective effects of the Mediterranean Diet (MD), the scientific interest and advocacy of dietary variety as a potentially healthy eating habit gradually faded, until its complete oblivion in the latest European cardiovascular prevention guidelines. Our study aims to investigate whether dietary variety adds to the “Mediterranean-ness” of the diet in protecting against coronary heart disease (CHD). <em>Methods and results:</em> In this case-control Italian study, data on eating habits were collected from 178 patients with CHD and 155 healthy controls, primarily males, frequency matched for age and gender, using the Food Frequency Questionnaire (FFQ) of the European Prospective Investigation into Cancer and Nutrition. Adherence to MD was estimated from FFQ by the Mediterranean Diet Score (MDS), an index developed by Trichopoulou (2003) ranging from 0 to 9, with higher scores indicating a stricter adherence. Overall dietary variety was computed from FFQ as a count of single food items consumed at least once a month. Associations between MDS or overall dietary variety and coronary status were evaluated by logistic regression models adjusted for BMI, physical activity, smoking, education, and caloric intake; the Odds Ratio (OR) for a 1.5-point increase in MDS was 0.76 [IC 95% 0.59; 0.98], whereas the OR for a 15-item increase in dietary variety was 0.62 [IC 95% 0.46; 0.84]. Remarkably, adherence to MD and overall dietary variety were independently associated with a significantly reduced chance of CHD. <em>Conclusion</em>: Dietary Mediterranean-ness and overall dietary variety exhibit additive cardioprotective effects.
description: This work has been funded by "Ricerca Corrente" of Ministero della Salute, Italy
DOI: 10.5287/bodleian:r5emr4pov
title: Effects of hunger on model-based and model-free decision-making
DOI: 10.5255/ukda-sn-854727
title: Discrimination Thresholds of Duration, Intensity, and F0 for a Synthesized Vowel under Cognitive Load, 2018-2021

description: This dataset contains measures of just-noticeable differences, or JND, of duration (ms), intensity (dB), and pitch or F0 (Hz) for a synthetic vowel. JNDs were measured under 4 acoustic conditions: (1) Audio-only, i.e., with no secondary task, (2) Perceptual load, i.e., with concurrent visual stimuli but no requirement to pay attention to them, (3) Low cognitive load in the form of a 1-back task on visual stimuli, and (4) High cognitive load in the form of a 2-back task on visual stimuli. In addition, the 1-back and 2-back tasks involved either meaningless images or pronounceable nonwords. Performance on the 1-back and 2-back tasks, labelled CL accuracy, was also measured using the d' index from Signal Detection Theory. Below is a summary of the study and its rationale: Dual-tasking negatively impacts on speech perception by raising cognitive load (CL). Previous research has shown that CL increases reliance on lexical knowledge and decreases reliance on phonetic detail. Less is known about the effect of CL on the perception of acoustic dimensions below the phonetic level. This study tested the effect of CL on the ability to discriminate differences in duration, intensity, and fundamental frequency of a synthesized vowel. A psychophysical adaptive procedure was used to obtain just noticeable differences (JNDs) on each dimension under load and no load. Load was imposed by N-back tasks at two levels of difficulty (one-back, two-back) and under two types of load (images, nonwords). Compared to a control condition with no CL, all N-back conditions increased JNDs across the three dimensions. JNDs were also higher under two-back than one-back load. Nonword load was marginally more detrimental than image load for intensity and fundamental frequency discrimination. Overall, the decreased auditory acuity demonstrates that the effect of CL on the listening experience can be traced to distortions in the perception of core auditory dimensions.
DOI: 10.5517/ccdc.csd.cc20fclf
title: CCDC 1859894: Experimental Crystal Structure Determination

description: Related Article: Igor L. Fedushkin, Daria A. Lukina, Alexandra A. Skatova, Anton N. Lukoyanov, Anton V. Cherkasov|2018|Chem.Commun.|54|12950|doi:10.1039/c8cc08108e
DOI: 10.5517/ccdc.csd.cc20fcmg
title: CCDC 1859895: Experimental Crystal Structure Determination

description: Related Article: Igor L. Fedushkin, Daria A. Lukina, Alexandra A. Skatova, Anton N. Lukoyanov, Anton V. Cherkasov|2018|Chem.Commun.|54|12950|doi:10.1039/c8cc08108e
DOI: 10.5517/ccdc.csd.cc20fcnh
title: CCDC 1859896: Experimental Crystal Structure Determination

description: Related Article: Igor L. Fedushkin, Daria A. Lukina, Alexandra A. Skatova, Anton N. Lukoyanov, Anton V. Cherkasov|2018|Chem.Commun.|54|12950|doi:10.1039/c8cc08108e
DOI: 10.5517/ccdc.csd.cc22c2j2
title: CCDC 1917273: Experimental Crystal Structure Determination

description: Related Article: Roxana Piotrowska, Travis Hesketh, Haozhen Wang, Alan R. G. Martin, Deborah Bowering, Chunqiu Zhang, Chunhua T. Hu, Scott A. McPhee, Tong Wang, Yaewon Park, Pulkit Singla, Thomas McGlone, Alastair Florence, Tell Tuttle, Rein V. Ulijn, Xi Chen|2020|Nat.Mater|20|403|doi:10.1038/s41563-020-0799-0
DOI: 10.5517/ccdc.csd.cc24wttp
title: CCDC 1992953: Experimental Crystal Structure Determination

description: Related Article: Mahendra K. Sharma, Dennis Rottschäfer, Timo Glodde, Beate Neumann, Hans-Georg Stammler, Rajendra S. Ghadwal|2021|Angew.Chem.,Int.Ed.|60|6414|doi:10.1002/anie.202017078
DOI: 10.5517/ccdc.csd.cc24wtvq
title: CCDC 1992954: Experimental Crystal Structure Determination

description: Related Article: Mahendra K. Sharma, Dennis Rottschäfer, Timo Glodde, Beate Neumann, Hans-Georg Stammler, Rajendra S. Ghadwal|2021|Angew.Chem.,Int.Ed.|60|6414|doi:10.1002/anie.202017078
DOI: 10.5517/ccdc.csd.cc25mwyn
title: CCDC 2015122: Experimental Crystal Structure Determination

description: Related Article: Soohyung Kim, Ha Young Jeong, Seonghan Kim, Hongsik Kim, Sojeong Lee, Jaeheung Cho, Cheal Kim, Dongwhan Lee|2021|Chem.-Eur.J.|27|4700|doi:10.1002/chem.202005183
DOI: 10.5517/ccdc.csd.cc26h181
title: CCDC 2040242: Experimental Crystal Structure Determination

description: Related Article: Yangxin Chen, Zhangxian Chen, Yang Zhou, Yanqiang Li, Youchao Liu, Qingran Ding, Xin Chen, Sangen Zhao, Junhua Luo|2021|Chem.-Eur.J.|27|4557|doi:10.1002/chem.202004934
DOI: 10.5517/ccdc.csd.cc26vgk3
title: CCDC 2051225: Experimental Crystal Structure Determination

description: Related Article: Mahendra K. Sharma, Dennis Rottschäfer, Timo Glodde, Beate Neumann, Hans-Georg Stammler, Rajendra S. Ghadwal|2021|Angew.Chem.,Int.Ed.|60|6414|doi:10.1002/anie.202017078
DOI: 10.5517/ccdc.csd.cc24wtwr
title: CCDC 1992955: Experimental Crystal Structure Determination

description: Related Article: Mahendra K. Sharma, Dennis Rottschäfer, Timo Glodde, Beate Neumann, Hans-Georg Stammler, Rajendra S. Ghadwal|2021|Angew.Chem.,Int.Ed.|60|6414|doi:10.1002/anie.202017078
DOI: 10.5517/ccdc.csd.cc24wtxs
title: CCDC 1992956: Experimental Crystal Structure Determination

description: Related Article: Mahendra K. Sharma, Dennis Rottschäfer, Timo Glodde, Beate Neumann, Hans-Georg Stammler, Rajendra S. Ghadwal|2021|Angew.Chem.,Int.Ed.|60|6414|doi:10.1002/anie.202017078
DOI: 10.25386/genetics.14171075.v1
title: Supplemental Material for Brekke et al., 2021

description: Spreadsheet with data for Brekke et al, "X chromosome-dependent disruption of placental regulatory networks in hybrid dwarf hamsters." Tabs include the RAD-based genetic map (Table S1 in the text) with placental phenotypes included; the imputed genotype for every individual for all map-placed genes; the cpm-normalized gene expression data used in analyses in the paper for both the parental species and reciprocal intercrosses (F1 data) and the backcross (BC); connectivity data from the top 500 genes in the BC down regulated module; and the intermediate analysis for calculating the expression interaction score (EI)<br>Table S1. A full description of all RAD markers including their ID, the linkage group they are found on, genetic position in centiMorgans, the position and polarization of the diagnostic SNV between <i>P. campbelli </i>and <i>P. sungorus, </i>, and the sequence of the marker which always begin with TGCAGG (the restriction-enzyme cut-site of SbfI, i.e.: CC_TGCA^GG). SNVs in the sequence are denoted with standard IUPAC ambiguity codes.Table S2. WGCNA modules generated from F1 and pure species placental gene expression data. Color names are arbitrarily and randomly generated by the program, and have no additional meaning. The upregulated and downregulated modules are discussed in the manuscript are indicated as such. Counts of genes in each module, correspondence with previous pairwise analysis (Brekke<i> et al.</i> 2016), association with inheritance pattern and phenotypes, and enrichment for candidate imprinted genes indicated.Table S3. WGCNA modules generated from BC placental gene expression data. Color names are arbitrarily and randomly generated by the program, and do not correspond with the arbitrarily assigned names for to the F1 analysis. The upregulated and downregulated modules are discussed in the manuscript are indicated as such. Counts of genes in each module, correspondence with F1 network analysis, association with phenotypes, and enrichment for candidate imprinted genes are indicated.Table S4. A full description of the genetic locations of each gene from that was captured and associated with the map. Columns are: Linkage group (LG), position in centiMorgans (cM), gene name from the <i>P. sungorus</i> transcriptome (Trinity_Component), the exon that the SNP appears in (exon), the position of the SNP in the exon (snp_pos_in_exon), the gene name (Associated_Gene_Name), and the mouse ensemble gene ID of that gene (Ensembl_Gene_ID).Table S5. SRA sequence accession numbers for each individual by sequence type.
DOI: 10.25386/genetics.14171075
title: Supplemental Material for Brekke et al., 2021

description: Spreadsheet with data for Brekke et al, "X chromosome-dependent disruption of placental regulatory networks in hybrid dwarf hamsters." Tabs include the RAD-based genetic map (Table S1 in the text) with placental phenotypes included; the imputed genotype for every individual for all map-placed genes; the cpm-normalized gene expression data used in analyses in the paper for both the parental species and reciprocal intercrosses (F1 data) and the backcross (BC); connectivity data from the top 500 genes in the BC down regulated module; and the intermediate analysis for calculating the expression interaction score (EI)<br>Table S1. A full description of all RAD markers including their ID, the linkage group they are found on, genetic position in centiMorgans, the position and polarization of the diagnostic SNV between <i>P. campbelli </i>and <i>P. sungorus, </i>, and the sequence of the marker which always begin with TGCAGG (the restriction-enzyme cut-site of SbfI, i.e.: CC_TGCA^GG). SNVs in the sequence are denoted with standard IUPAC ambiguity codes.Table S2. WGCNA modules generated from F1 and pure species placental gene expression data. Color names are arbitrarily and randomly generated by the program, and have no additional meaning. The upregulated and downregulated modules are discussed in the manuscript are indicated as such. Counts of genes in each module, correspondence with previous pairwise analysis (Brekke<i> et al.</i> 2016), association with inheritance pattern and phenotypes, and enrichment for candidate imprinted genes indicated.Table S3. WGCNA modules generated from BC placental gene expression data. Color names are arbitrarily and randomly generated by the program, and do not correspond with the arbitrarily assigned names for to the F1 analysis. The upregulated and downregulated modules are discussed in the manuscript are indicated as such. Counts of genes in each module, correspondence with F1 network analysis, association with phenotypes, and enrichment for candidate imprinted genes are indicated.Table S4. A full description of the genetic locations of each gene from that was captured and associated with the map. Columns are: Linkage group (LG), position in centiMorgans (cM), gene name from the <i>P. sungorus</i> transcriptome (Trinity_Component), the exon that the SNP appears in (exon), the position of the SNP in the exon (snp_pos_in_exon), the gene name (Associated_Gene_Name), and the mouse ensemble gene ID of that gene (Ensembl_Gene_ID).Table S5. SRA sequence accession numbers for each individual by sequence type.
DOI: 10.5281/zenodo.4592008
title: An experimental, theoretical and kinetic-modeling study of the gas-phase oxidation of ammonia

description: Stagni, A., Cavallotti, C., Arunthanayothin, S., Song, Y., Herbinet, O., Battin-Leclerc, F., & Faravelli, T. (2020). An experimental, theoretical and kinetic-modeling study of the gas-phase oxidation of ammonia. Reaction Chemistry & Engineering, 5(4), 696-711.
DOI: 10.5281/zenodo.4592007
title: An experimental, theoretical and kinetic-modeling study of the gas-phase oxidation of ammonia

description: Stagni, A., Cavallotti, C., Arunthanayothin, S., Song, Y., Herbinet, O., Battin-Leclerc, F., & Faravelli, T. (2020). An experimental, theoretical and kinetic-modeling study of the gas-phase oxidation of ammonia. Reaction Chemistry & Engineering, 5(4), 696-711.
DOI: 10.5281/zenodo.4591534
title: asia-140101.osm.pbf

description: OpenStreetMap extract for Asia year 2014
DOI: 10.5281/zenodo.4591533
title: asia-140101.osm.pbf

description: OpenStreetMap extract for Asia year 2014
DOI: 10.5281/zenodo.4592004
title: lundborgmagnus/awh_fep_input_files: v1.0

description: This is the main release of the input parameters and data to the article describing using AWH for alchemical free energy calculations.
DOI: 10.5281/zenodo.4592003
title: lundborgmagnus/awh_fep_input_files: v1.0

description: This is the main release of the input parameters and data to the article describing using AWH for alchemical free energy calculations.
DOI: 10.6084/m9.figshare.14186624
title: Zemax Deisgn File for MODE primary lens.zmx

description: Zemax design file for MODE telescope primary lens
DOI: 10.24378/exe.3163
title: The antibiotic dosage of fastest resistance evolution: gene amplifications underpinning the inverted-U (dataset)

description: This is the dataset used for the Reding et al. (2021) article "The Antibiotic Dosage of Fastest Resistance Evolution: gene amplifications underpinning the inverted-U" published in Molecular Biology and Evolution.
description: The article associated with this dataset is located in ORE at: http://hdl.handle.net/10871/124652
DOI: 10.25345/c5b80c
title: MassIVE MSV000087018 - RM 8231 Frozen Human Plasma Suite for Metabolomics (Fusion Lumos)
title: The application of reference materials and standards may significantly improve QA/QC to support metabolomics and lipidomics research. Included in this dataset is a LC/MS metabolomic analysis of RM 8231 Frozen Human Plasma Suite for Metabolomics and SRM 1950 in positive and negative ionization modes following protein precipitation with cold ethanol. The samples were analyzed using a Vanquish UPLC coupled to a Fusion Lumos mass spectrometer. Reconstituted plasma sample was separated by an Acquity HSS T3 C18 column at 350 uL/min and 45 C. See readme file for complete sample and instrument information.
DOI: 10.5281/zenodo.4590927
title: NPTEL2020-Indian-English-Speech-Train-part3

description: English Speech Recognition dataset collected from NPTEL videos. For more information, check:<br> https://github.com/AI4Bharat/NPTEL2020-Indian-English-Speech-Dataset
DOI: 10.5281/zenodo.4590926
title: NPTEL2020-Indian-English-Speech-Train-part3

description: English Speech Recognition dataset collected from NPTEL videos. For more information, check:<br> https://github.com/AI4Bharat/NPTEL2020-Indian-English-Speech-Dataset