cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5790143
title: Role of internal loop dynamics in antibiotic permeability of outer membrane porins

description: Representative structures for Markov State models for wild type and mutants of OmpF "Coupling of internal loop dynamics and antibiotic permeation in outer membrane porins"
DOI: 10.5281/zenodo.5236668
title: EWAS of lung function in Latinos with asthma - Summary Statistics

description: Summary statistics generated for the manuscript entitled <strong>"Epigenome-wide association study of lung function in Latino children and youth with asthma"</strong> Our aim was to identify DNA methylation signals associated with lung function in Latino youth with asthma and validate previous epigenetic signals from non-Latino populations. For that, we performed multiple epigenome-wide association studies (EWAS) of lung function measurements analyzing whole blood from 250 Puerto Rican (PR) and 148 Mexican American (MEX) youth with asthma from the Genes-Environment and Admixture in Latino Americans (GALA II) study. The following measurements were evaluated Pre- and post- albuterol administration: Forced expiratory volume in one second (FEV1.Meas), forced vital capacity (FVC.Meas) and their ratio (FEV1.FVC.Meas). DNA methylation was profiled with the Infinium EPIC BeadChip or the Infinium HumanMethylation450 BeadChip array (Illumina, San Diego, CA, USA). The association of methylation beta-values and raw PFT values (in liters) was tested by robust linear regressions with correction for age, sex, height, the first three genotype principal components (PCs),<em> in utero</em> maternal smoking exposure, the first six ReFACTor components, and batch, when appropriate, via limma R package. The results for individuals of the same ethnic subgroup were meta-analyzed using fixed- or random-effects models, based on Cochran's Q p-value. Version 1 is deprecated. The EWAS result files (*.txt) contains: RSID: CpG name. STUDY: Number of sets of individuals included in the meta-analysis. BETA_meta: Coefficient of the regression. SEBETA_meta: Standard error of the coefficient of the regression. PVALUE_meta: P-value for the association. PVALUE_Q: Cochran's Q p-value. Model: Fixed-effect (FE) or Random-effects (RE2) model. PVALUE_meta_adj: False discovery rate (Benjamini & Hochberg method).
DOI: 10.3886/e109149v2-108520
title: Women at Work: Sexual Harassment

description: Over the last two years, awareness about the sexual mistreatment of women has stunned the world. According to analysis by the New York Times, the defeat of Hilary Clinton and election of Donald Trump spurred a women’s movement in the US that began in November of 2016 and resulted in protests across the country, including the largest single-day protest in history on January 21, 2017. Later that year, the #MeToo movement (starting in October 2017) and subsequent #TimesUp movement (starting in January 2018) galvanized women to unite against sexual assault and sexual harassment, which has become the hallmark of the current women’s movement. But has anything changed over this time period in regard to the sexual harassment of women? We examine data from over 500 women at two points in time (September 2016 and September 2018) and found reduced levels of the most egregious forms of sexual harassment (unwanted sexual attention and sexual coercion) but increased levels of gender harassment in 2018 compared to data collected in 2016. More importantly, sexual harassment had a weaker relationship with women’s negative self-views (lower self-esteem, higher self-doubt) in 2018 compared to 2016. Qualitative interviews collected from women in the fall of 2016 and in the fall of 2018 from the same women, support the quantitative data. They suggest that the decrease in the more egregious forms of sexual harassment is due to the increased scrutiny on the topic and the increase in gender harassment is the result of backlash against women. The interviewees also suggest that the diminished relationship between sexual harassment and negative self-views was the result of reduced shame and increased support and empowerment. <b></b>
DOI: 10.7910/dvn/4jxflb
title: Replication Data for: "Exports and Wage Premia: Evidence from Mexican Employer-Employee Data"

description: Review of Economics and Statistics, Forthcoming.
DOI: 10.5281/zenodo.5987725
title: Practica Zenodo Api

description: Datasets para la práctica de Zenodo de DLC.
DOI: 10.5281/zenodo.5898371
title: Practica Zenodo Api

description: Datasets para la práctica de Zenodo de DLC.
DOI: 10.5281/zenodo.5911807
title: TWristAR - wristband activity recognition

description: TWristAR is a small three subject dataset recorded using an e4 wristband. Each subject performed six scripted activities: upstairs/downstairs, walk/jog, and sit/stand. Each activity except stairs was performed for one minute a total of three times alternating between the pairs. Subjects 1 & 2 also completed a walking sequence of approximately 10 minutes. The dataset contains motion (accelerometer) data, temperature, electrodermal activity, and heart rate data. The .csv file associated with each datafile contains timing and labeling information and was built using the provided Excel files. Each two activity session was recorded using a downward facing action camera. This video was used to generate the labels and is provided to investigate any data anomalies, especially for the free-form long walk. For privacy reasons only the sub1_stairs video contains audio. The Jupyter notebook processes the acceleration data and performs hold-one-subject out evaluation of a 1D-CNN. Example results from a run performed on a google colab GPU instance (w/o GPU the training time increases to about 90 seconds per pass): Hold-one-subject-out results Train Sub Test Sub Accuracy Training Time (HH:MM:SS) [1,2] [3] 0.757 00:00:12 [2,3] [1] 0.849 00:00:14 [1,3] [2] 0.800 00:00:11 This notebook can also be run in colab here. This video describes the processing https://mediaflo.txstate.edu/Watch/e4_data_processing. We hope you find this a useful dataset with end-to-end code. We have several papers in process and would appreciate your citation of the dataset if you use it in your work.
DOI: 10.6084/m9.figshare.19127951
title: Rogers+2022_NetworkModelingInVitroData.xlsx

description: These data are gene expression levels measured by qPCR with methods and results described in the following preprint article:<br>https://www.biorxiv.org/content/10.1101/2021.09.04.458984v1<br><br>
DOI: 10.5281/zenodo.5919224
title: A Diagnostic Classifier for Gene Expression-Based Identification of Early Lyme Disease

description: This data repository contains the source code and pertinent training and test data sets used in the manuscript, <em>A Diagnostic Classifier for Gene Expression-Based Identification of Early Lyme Disease</em>.
DOI: 10.5281/zenodo.5988664
title: UDPipe Models for Morphologically enhanced Universal Dependencies for Korean (morphUD)

description: UDPipe 1 (https://ufal.mff.cuni.cz/udpipe/1) models for Morphologically enhanced Universal Dependencies for Korean (morphUD) including ko.vectors.xz files for morphUD and wordUD. Embedding files are available at https://doi.org/10.5281/zenodo.5869738 <strong>udpipe</strong> --train --tokenizer="dimension=64;epochs=100;segment_size=50;initialization_range=0.2;batch_size=50;learning_rate=0.005;learning_rate_final=0.001;dropout=0.3;early_stopping=1" --tagger="models=2;templates_1=tagger;guesser_suffix_rules_1=8;guesser_enrich_dictionary_1=6;guesser_prefixes_max_1=0;use_lemma_1=0;use_xpostag_1=1;use_feats_1=1;provide_lemma_1=0;provide_xpostag_1=1;provide_feats_1=1;prune_features_1=0;templates_2=lemmatizer;guesser_suffix_rules_2=8;guesser_enrich_dictionary_2=6;guesser_prefixes_max_2=4;use_lemma_2=1;use_xpostag_2=0;use_feats_2=0;provide_lemma_2=1;provide_xpostag_2=0;provide_feats_2=0;prune_features_2=1" --parser="iterations=30;embedding_upostag=20;embedding_feats=20;embedding_xpostag=0;embedding_form=300;embedding_form_file={wordUD|morphUD}.txt.embeding.vec;embedding_lemma=0;embedding_deprel=20;learning_rate=0.01;learning_rate_final=0.001;l2=0.5;hidden_layer=200;batch_size=10;transition_system=projective;transition_oracle=dynamic;structured_interval=10" --heldout={UD_Korean-GSD|UD_Korean-Kaist}/ko_{gsd|kaist}-ud-dev.conllu {UD_Korean-GSD|UD_Korean-Kaist}/ko_{gsd|kaist}-ud-{wordUD|morphUD}.model {UD_Korean-GSD|UD_Korean-Kaist}/ko_{gsd|kaist}-ud-train.conllu
DOI: 10.5281/zenodo.5988663
title: UDPipe Models for Morphologically enhanced Universal Dependencies for Korean (morphUD)

description: UDPipe 1 (https://ufal.mff.cuni.cz/udpipe/1) models for Morphologically enhanced Universal Dependencies for Korean (morphUD) including ko.vectors.xz files for morphUD and wordUD. Embedding files are available at https://doi.org/10.5281/zenodo.5869738 <strong>udpipe</strong> --train --tokenizer="dimension=64;epochs=100;segment_size=50;initialization_range=0.2;batch_size=50;learning_rate=0.005;learning_rate_final=0.001;dropout=0.3;early_stopping=1" --tagger="models=2;templates_1=tagger;guesser_suffix_rules_1=8;guesser_enrich_dictionary_1=6;guesser_prefixes_max_1=0;use_lemma_1=0;use_xpostag_1=1;use_feats_1=1;provide_lemma_1=0;provide_xpostag_1=1;provide_feats_1=1;prune_features_1=0;templates_2=lemmatizer;guesser_suffix_rules_2=8;guesser_enrich_dictionary_2=6;guesser_prefixes_max_2=4;use_lemma_2=1;use_xpostag_2=0;use_feats_2=0;provide_lemma_2=1;provide_xpostag_2=0;provide_feats_2=0;prune_features_2=1" --parser="iterations=30;embedding_upostag=20;embedding_feats=20;embedding_xpostag=0;embedding_form=300;embedding_form_file={wordUD|morphUD}.txt.embeding.vec;embedding_lemma=0;embedding_deprel=20;learning_rate=0.01;learning_rate_final=0.001;l2=0.5;hidden_layer=200;batch_size=10;transition_system=projective;transition_oracle=dynamic;structured_interval=10" --heldout={UD_Korean-GSD|UD_Korean-Kaist}/ko_{gsd|kaist}-ud-dev.conllu {UD_Korean-GSD|UD_Korean-Kaist}/ko_{gsd|kaist}-ud-{wordUD|morphUD}.model {UD_Korean-GSD|UD_Korean-Kaist}/ko_{gsd|kaist}-ud-train.conllu
DOI: 10.5281/zenodo.5988755
title: Calmodulin N60D-MARCKS peptide complexes

description: NMR Spectra and CcpNmr projects files for Calmodulin N60D-MARCKS peptide complexes.
DOI: 10.5281/zenodo.5988754
title: Calmodulin N60D-MARCKS peptide complexes

description: NMR Spectra and CcpNmr projects files for Calmodulin N60D-MARCKS peptide complexes.
DOI: 10.17632/wn442rdyb3.1
title: Effects of dizocilpine, midazolam and their co-application on the trimethyltin (TMT)-induced rat model of neurodegeneration

description: The aim of this study was to explore the effect of NMDA receptor antagonist dizocilpine (MK-801) and GABAA receptor potentiator midazolam on the cognitive deficit and hippocampal cell loss induced by TMT and to investigate whether their co-application is associated with enhanced neuroprotective effects. 
Co-application of MK-801 and midazolam provided mild neuroprotective effect with respect to the histological parameters, while the compounds alone were largely ineffective. All three neuroprotective treatments induced similar degree of therapeutic effect in Morris water maze.
DOI: 10.6084/m9.figshare.19127981
title: 2021安全与环境学报

description: 2021安全与环境学报.zip<br>
DOI: 10.6084/m9.figshare.19127996
title: Quant. Sci. Stud data

description: Quant. Sci. Stud
DOI: 10.6084/m9.figshare.19127996.v1
title: Quant. Sci. Stud data

description: Quant. Sci. Stud
DOI: 10.17894/ucph.96cbf5b2-cf22-4745-a1f0-3d70d4aefd11
title: KF22skov_input_output_files
DOI: 10.6084/m9.figshare.19128005
title: PanCancer panels' target regions

description: Target regions (in BED format) for eight oncopanels in the PanCancer study. A blocklist for TFS panel is provided.
DOI: 10.6084/m9.figshare.19128005.v1
title: PanCancer panels' target regions

description: Target regions (in BED format) for eight oncopanels in the PanCancer study. A blocklist for TFS panel is provided.
DOI: 10.5281/zenodo.5987029
title: Cave Ecosystem Protein Database

description: The concatenated library of predicted protein sequences from protein level assembly of cave shotgun metagenomes using PLASS and some basic metadata of the metagenomes included.
DOI: 10.5281/zenodo.5987028
title: Cave Ecosystem Protein Database

description: The concatenated library of predicted protein sequences from protein level assembly of cave shotgun metagenomes using PLASS and some basic metadata of the metagenomes included.
DOI: 10.6084/m9.figshare.13271703
title: Impacts of pasture species and ruminant urine on N<sub>2</sub>O emissions and nitrogen transforming microbial communities in soil mesocosms

description: Multispecies grasslands can alter nitrogen (N) cycling processes. A mesocosm experiment was performed comparing bare soil, soil planted with perennial ryegrass <i>(Lolium perenne),</i> white clover (<i>Trifolium repens</i>), plantain (<i>Plantago lanceolata)</i>, and a mixed sward with all three species. We aimed to assess the plant effects on: ruminant urine-induced dry matter yields, plant N uptake, soil N<sub>2</sub>O emissions, and genes encoding nitrifier and denitrifier N transformations. After 35 days urine application increased both dry matter in the plantain (11%) and mixed (19%) swards, and N uptake in the ryegrass (63%), plantain (120%) and mixed (103%) swards. Urine increased cumulative N<sub>2</sub>O emissions, and while there was a trend for greater N uptake to cause lower emissions this was not significant. Urine addition elevated inorganic-N concentrations with few differences between plant treatments. Ammonia oxidising bacteria increased under urine but plantain did not inhibit this response. On days 3–10, increases in <i>nirK</i> and <i>nosZI</i> were indicative of enhanced nitrifier-denitrification and N<sub>2</sub>O scavenging by denitrifiers, respectively. The elevation of <i>nosZI</i> under urine-affected soil warrants further investigation in relation to potential pasture species effects. Consistent with previous <i>in situ</i> studies this study showed no evidence of plantain affecting soil inorganic-N concentrations via biological nitrification inhibition.
DOI: 10.6084/m9.figshare.13271703.v1
title: Impacts of pasture species and ruminant urine on N<sub>2</sub>O emissions and nitrogen transforming microbial communities in soil mesocosms

description: Multispecies grasslands can alter nitrogen (N) cycling processes. A mesocosm experiment was performed comparing bare soil, soil planted with perennial ryegrass <i>(Lolium perenne),</i> white clover (<i>Trifolium repens</i>), plantain (<i>Plantago lanceolata)</i>, and a mixed sward with all three species. We aimed to assess the plant effects on: ruminant urine-induced dry matter yields, plant N uptake, soil N<sub>2</sub>O emissions, and genes encoding nitrifier and denitrifier N transformations. After 35 days urine application increased both dry matter in the plantain (11%) and mixed (19%) swards, and N uptake in the ryegrass (63%), plantain (120%) and mixed (103%) swards. Urine increased cumulative N<sub>2</sub>O emissions, and while there was a trend for greater N uptake to cause lower emissions this was not significant. Urine addition elevated inorganic-N concentrations with few differences between plant treatments. Ammonia oxidising bacteria increased under urine but plantain did not inhibit this response. On days 3–10, increases in <i>nirK</i> and <i>nosZI</i> were indicative of enhanced nitrifier-denitrification and N<sub>2</sub>O scavenging by denitrifiers, respectively. The elevation of <i>nosZI</i> under urine-affected soil warrants further investigation in relation to potential pasture species effects. Consistent with previous <i>in situ</i> studies this study showed no evidence of plantain affecting soil inorganic-N concentrations via biological nitrification inhibition.
DOI: 10.5517/ccdc.csd.cc23zwdd
title: CCDC 1966094: Experimental Crystal Structure Determination

description: Related Article: Shouxiong Chen, Hui Wang, Qi Lin, Zhiqiang Weng|2022|Org.Chem.Front.|9|752|doi:10.1039/D1QO01766G
DOI: 10.25493/vn1a-q2r
title: Density measurements of different receptors for Area ifj2 (IFS,PreCS) [human] (v1)

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in Area ifj2 (IFS,PreCS) obtained by means of quantitative in vitro autoradiography. The receptor densities are visualized as fingerprints (fp), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. For exemplary samples, we also provide color-coded laminar autoradiography images (ar). The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints and autoradiographs as well as a list of analyzed receptors accompanies the provided dataset.
DOI: 10.6084/m9.figshare.19128086
title: Efficient Depiction and Aggregation Method for Multi-energy Flexible Capacity

description: The detailed parameters of cases studied in “Efficient Depiction and Aggregation Method for Multi-energy Flexible Capacity”.
DOI: 10.6084/m9.figshare.19128086.v1
title: Efficient Depiction and Aggregation Method for Multi-energy Flexible Capacity

description: The detailed parameters of cases studied in “Efficient Depiction and Aggregation Method for Multi-energy Flexible Capacity”.
DOI: 10.5281/zenodo.5989180
title: Dataset Valoracion Peliculas

description: Dataset con varias peliculas y su valoracion por la critica.
DOI: 10.5281/zenodo.5989179
title: Dataset Valoracion Peliculas

description: Dataset con varias peliculas y su valoracion por la critica.
DOI: 10.5281/zenodo.5979619
title: Dataset Peliculas

description: Dataset de peliculas
DOI: 10.5281/zenodo.5989182
title: Datasets of submesoscale circulations in the subtropical northeastern Pacific

description: Dataset of results in Interannual variations of submesoscale circulations in the subtropical northeastern Pacific (Sasaki et al., 2022) based on a submesoscale permitting hindcast simulation. Please see the dataset list in README_OFES2.txt.
DOI: 10.5281/zenodo.5989187
title: Datasets of submesoscale circulations in the subtropical northeastern Pacific

description: Dataset of results in Interannual variations of submesoscale circulations in the subtropical northeastern Pacific (Sasaki et al., 2022) based on a submesoscale permitting hindcast simulation. Please see the dataset list in README.txt.
DOI: 10.5281/zenodo.5722865
title: Datasets of submesoscale circulations in the subtropical northeastern Pacific

description: Dataset of results in Interannual variations of submesoscale circulations in the subtropical northeastern Pacific (Sasaki et al., 2022) based on a submesoscale permitting hindcast simulation. Please see the dataset list in README.txt.
DOI: 10.34740/kaggle/dsv/3149658
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5517/ccdc.csd.cc26mnh0
title: CCDC 2044682: Experimental Crystal Structure Determination

description: Related Article: Francois Eya’ane Meva, Timothy J. Prior, David J. Evans, Sachin Shah, Cynthia Fake Tamngwa, Herschelle Guyenne Lagrange Belengue, Roland Emmanuel Mang, Justin Munro, Tarrick Qahash, Manuel Llinás |2021|Res.Chem.Intermed.|48|885|doi:10.1007/s11164-021-04607-3
DOI: 10.5517/ccdc.csd.cc273vhq
title: CCDC 2059283: Experimental Crystal Structure Determination

description: Related Article: Yujia Liu, Kyoka Koizumi, Nobuhiro Takeda, Masafumi Unno, Armelle Ouali|2022|Inorg.Chem.|61|1495|doi:10.1021/acs.inorgchem.1c03209
DOI: 10.5517/ccdc.csd.cc28p639
title: CCDC 2105740: Experimental Crystal Structure Determination

description: Related Article: Jérôme Long, Dmitry M. Lyubov, Galina A. Gurina, Yulia V. Nelyubina, Fabrice Salles, Yannick Guari, Joulia Larionova, Alexander A. Trifonov|2022|Inorg.Chem.|61|1264|doi:10.1021/acs.inorgchem.1c03429
DOI: 10.5517/ccdc.csd.cc28p65c
title: CCDC 2105742: Experimental Crystal Structure Determination

description: Related Article: Jérôme Long, Dmitry M. Lyubov, Galina A. Gurina, Yulia V. Nelyubina, Fabrice Salles, Yannick Guari, Joulia Larionova, Alexander A. Trifonov|2022|Inorg.Chem.|61|1264|doi:10.1021/acs.inorgchem.1c03429
DOI: 10.5281/zenodo.5914005
title: Test_S: a synthesised dataset for evaluating few-shot Bioacoustic events detection system (DCASE 2021 Task5)

description: The database consists of : DC class (1,2,3) and MEL class (4-8) dense bioacoustic event like official Evaluation Set in each audio
DOI: 10.25442/hku.19127594
title: Riverine carbon data in the Jing River catchment

description: This dataset includes riverine carbon concentrations and dissolved greenhouse gas concentrations and emissions measured in the Jing River catchment on Chinese Loess Plateau. Detailed information is provided in the 'README' file.
DOI: 10.25442/hku.19127594.v1
title: Riverine carbon data in the Jing River catchment

description: This dataset includes riverine carbon concentrations and dissolved greenhouse gas concentrations and emissions measured in the Jing River catchment on Chinese Loess Plateau. Detailed information is provided in the 'README' file.
DOI: 10.6084/m9.figshare.17109146
title: Riverscape genomics clarifies neutral and adaptive evolution in an Amazonian characin fish (Triportheus albus)

description: Talbus_98_15251SNP.str<br>Genotypes for 94 Amazonian characin fish (Triportheus albus) individuals (and four replicates) at 15,251 biallelic SNP loci (from the same number of ddRAD loci) in structure format.Talbus_98_15251SNP.vcf VCF with genotypes for 94 Amazonian characin fish (Triportheus albus) individuals (and four replicates) at 15,251 biallelic SNP loci (from the same number of ddRAD loci).Allelefreq_9Sites_A5A6merged.txt<br>Standardized allele frequency of 9 sites (A5 and A6 merged) for 15,251 SNPs 5Env_IBD_Omega_9Sites_noA6.txt<br>Table with five environmental variables (collected in-situ), synthetic coordinates of geographic distance and omega matrices for each of the nine sampling sites (not A6) in the Amazon Basin.<br>omega_mat.out<br>Omega matrix of population covariance across locality allele frequencies (Ω ) calculated with BayPass <br>
DOI: 10.6084/m9.figshare.17109146.v1
title: Riverscape genomics clarifies neutral and adaptive evolution in an Amazonian characin fish (Triportheus albus)

description: Talbus_98_15251SNP.str<br>Genotypes for 94 Amazonian characin fish (Triportheus albus) individuals (and four replicates) at 15,251 biallelic SNP loci (from the same number of ddRAD loci) in structure format.Talbus_98_15251SNP.vcf VCF with genotypes for 94 Amazonian characin fish (Triportheus albus) individuals (and four replicates) at 15,251 biallelic SNP loci (from the same number of ddRAD loci).Allelefreq_9Sites_A5A6merged.txt<br>Standardized allele frequency of 9 sites (A5 and A6 merged) for 15,251 SNPs 5Env_IBD_Omega_9Sites_noA6.txt<br>Table with five environmental variables (collected in-situ), synthetic coordinates of geographic distance and omega matrices for each of the nine sampling sites (not A6) in the Amazon Basin.<br>omega_mat.out<br>Omega matrix of population covariance across locality allele frequencies (Ω ) calculated with BayPass <br>
DOI: 10.5281/zenodo.5989201
title: Test_S: a synthesised dataset for evaluating few-shot Bioacoustic events detection system (DCASE 2021 Task5)

description: The database consists of : DC class and MEL class dense bioacoustic event like official Evaluation Set in each audio
DOI: 10.5281/zenodo.5989488
title: Test_S: a synthesised dataset for evaluating few-shot Bioacoustic events detection system (DCASE 2021 Task5)

description: The database consists of : DC class and MEL class dense bioacoustic event like official Evaluation Set in each audio
DOI: 10.5281/zenodo.5914004
title: Test_S: a synthesised dataset for evaluating few-shot Bioacoustic events detection system (DCASE 2021 Task5)

description: The database consists of : DC class and MEL class dense bioacoustic event like official Evaluation Set in each audio
DOI: 10.34740/kaggle/dsv/3149797
title: Our World in Data - COVID-19
DOI: 10.6084/m9.figshare.19126202
title: T09_LXR_BR2_treat_pileup.bw

description: from NAR2013