cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15049260.v2
title: Using plant physiological stable oxygen isotope models to counter food fraud - Model Data

description: Model input data and R-script to run two-pool modivied Craig Gordon model as described in the Methods of the publication.
DOI: 10.6084/m9.figshare.15049248
title: Seasonal change of organic carbon source, mixing and burial along Yangtze River-Estuary-East China Sea continuum

description: Here, we reported the measurement of organic carbon (OC) concentration, stable carbon isotope (δ13C), mineral grain size, water salinity and multiple UV-visible and fluorescence spectra of surface water and sediments along the transect of the lower Yangtze River, Estuary and East China Sea, and compared variability in OC between March and July.<br>
DOI: 10.6084/m9.figshare.15049248.v1
title: Seasonal change of organic carbon source, mixing and burial along Yangtze River-Estuary-East China Sea continuum

description: Here, we reported the measurement of organic carbon (OC) concentration, stable carbon isotope (δ13C), mineral grain size, water salinity and multiple UV-visible and fluorescence spectra of surface water and sediments along the transect of the lower Yangtze River, Estuary and East China Sea, and compared variability in OC between March and July.<br>
DOI: 10.25646/8843
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.5118587
title: TAU-SEBin Binaural Sound Events 2021

description: <strong>TAU-SEBin Binaural Sound Events 2021 </strong>is a dataset of synthetic binaural audio recordings, which consist of sound events spaced in simulated shoebox rooms. The data is suitable for experiments with several acoustic scene analysis tasks such as sound source localization, sound distance estimation or sound event detection. Data is created using isolated sound events derived from several datasets: NIGENS [1], DESED [2] and TUT Rare Sound Events 2017 [3], containing 18 total sound classes, namely: alarm, baby, blender, cat, crash, dishes, dog, engine, fire, footsteps, glassbreak, gunshot, knock, phone, piano, scream, speech, water. The data is split into two subsets, one of which (bin_prox_dir) contains up to two overlapping sound events, whereas the other one consists of single sources only (bin_prox_dir_one). Each subset contains 400 audio files, divided into 4 equal splits for fold-wise cross-validation. The metadata provides the following information: <strong>sound_event_recording</strong> - sound event class <strong>start_time, end_time - </strong>onset and offset times of the sound events (in seconds) <strong>azi, ele - </strong>the azimuth and elevation angle of the sound source (in degrees) <strong>dist</strong> - sound source to receiver distance (in metres) References: [1] I. Trowitzsch, J. Taghia, Y. Kashef, and K. Obermayer, NIGENS general sound events database. Zenodo, 2019.<br> [2] N. Turpault, R. Serizel, A. Parag Shah, and J. Salamon, “Sound event detection in domestic environments with weakly labeled data and soundscape synthesis,” in Workshop on Detection and Classification of Acoustic Scenes and Events, 2019.<br> [3] A. Mesaros, T. Heittola, A. Diment, B. Elizalde, A. Shah, E. Vincent, B. Raj, and T. Virtanen, “DCASE 2017 challenge setup: Tasks, datasets and baseline system,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), 2017, pp. 85–92.
description: {"references": ["I. Trowitzsch, J. Taghia, Y. Kashef, and K. Obermayer, NIGENS general sound events database. Zenodo, 2019.", "N. Turpault, R. Serizel, A. Parag Shah, and J. Salamon, \"Sound event detection in domestic environments with weakly labeled data and soundscape synthesis,\" in Workshop on Detection and Classification of Acoustic Scenes and Events, 2019.", "A. Mesaros, T. Heittola, A. Diment, B. Elizalde, A. Shah, E. Vincent, B. Raj, and T. Virtanen, \"DCASE 2017 challenge setup: Tasks, datasets and baseline system,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), 2017, pp. 85\u201392."]}
DOI: 10.5281/zenodo.5118586
title: TAU-SEBin Binaural Sound Events 2021

description: <strong>TAU-SEBin Binaural Sound Events 2021 </strong>is a dataset of synthetic binaural audio recordings, which consist of sound events spaced in simulated shoebox rooms. The data is suitable for experiments with several acoustic scene analysis tasks such as sound source localization, sound distance estimation or sound event detection. Data is created using isolated sound events derived from several datasets: NIGENS [1], DESED [2] and TUT Rare Sound Events 2017 [3], containing 18 total sound classes, namely: alarm, baby, blender, cat, crash, dishes, dog, engine, fire, footsteps, glassbreak, gunshot, knock, phone, piano, scream, speech, water. The data is split into two subsets, one of which (bin_prox_dir) contains up to two overlapping sound events, whereas the other one consists of single sources only (bin_prox_dir_one). Each subset contains 400 audio files, divided into 4 equal splits for fold-wise cross-validation. The metadata provides the following information: <strong>sound_event_recording</strong> - sound event class <strong>start_time, end_time - </strong>onset and offset times of the sound events (in seconds) <strong>azi, ele - </strong>the azimuth and elevation angle of the sound source (in degrees) <strong>dist</strong> - sound source to receiver distance (in metres) References: [1] I. Trowitzsch, J. Taghia, Y. Kashef, and K. Obermayer, NIGENS general sound events database. Zenodo, 2019.<br> [2] N. Turpault, R. Serizel, A. Parag Shah, and J. Salamon, “Sound event detection in domestic environments with weakly labeled data and soundscape synthesis,” in Workshop on Detection and Classification of Acoustic Scenes and Events, 2019.<br> [3] A. Mesaros, T. Heittola, A. Diment, B. Elizalde, A. Shah, E. Vincent, B. Raj, and T. Virtanen, “DCASE 2017 challenge setup: Tasks, datasets and baseline system,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), 2017, pp. 85–92.
description: {"references": ["I. Trowitzsch, J. Taghia, Y. Kashef, and K. Obermayer, NIGENS general sound events database. Zenodo, 2019.", "N. Turpault, R. Serizel, A. Parag Shah, and J. Salamon, \"Sound event detection in domestic environments with weakly labeled data and soundscape synthesis,\" in Workshop on Detection and Classification of Acoustic Scenes and Events, 2019.", "A. Mesaros, T. Heittola, A. Diment, B. Elizalde, A. Shah, E. Vincent, B. Raj, and T. Virtanen, \"DCASE 2017 challenge setup: Tasks, datasets and baseline system,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), 2017, pp. 85\u201392."]}
DOI: 10.34740/kaggle/dsv/2461290
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/2461314
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.5136420
title: Parameter estimation data repository - "Spatial discordances between mRNAs and proteins in the intestinal epithelium"

description: The repository contains data associated with the estimation of protein translation and decay rates in the manuscript "Spatial discordances between mRNAs and proteins in the intestinal epithelium". Specifically, it includes MCMC-chains approximating the posterior parameter distribution and figures showing the model's fit to the data for each gene as well as a summary table of all fit results for two different models, the constant translation-rate model ("constant_rate_model") and the declining translation-rate model ("declining_rate_model") as explained in the manuscript. Code associated with the parameter estimation is available at https://github.com/LiBuchauer/spatial_MP_discordances .
DOI: 10.5281/zenodo.4438688
title: Parameter estimation data repository - "Spatial discordances between mRNAs and proteins in the intestinal epithelium"

description: The repository contains data associated with the estimation of protein translation and decay rates in the manuscript "Spatial discordances between mRNAs and proteins in the intestinal epithelium". Specifically, it includes MCMC-chains approximating the posterior parameter distribution and figures showing the model's fit to the data for each gene as well as a summary table of all fit results for two different models, the constant translation-rate model ("constant_rate_model") and the declining translation-rate model ("declining_rate_model") as explained in the manuscript. Code associated with the parameter estimation is available at https://github.com/LiBuchauer/spatial_MP_discordances .
DOI: 10.34740/kaggle/dsv/2461480
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.14626455.v1
title: Casos_frecuencias.pdf

description: Frecuencias de los estudios de caso analizados en los trabajos científicos sobre desinformación (Web of Science), período 2016-2020.
DOI: 10.25345/c5fk1s
title: MassIVE MSV000087879 - Fragmentation of lipopeptides produced by strains of the P. syringae complex by MALDI-MS-MS and LC-MS-MS
title: This project aimed at detecting and identifying the various lipopeptides produced by a collection of 724 strains belonging to the Pseudomonas syringae complex. Analyses were performed on whole-cells after growth on solid media at 25 degrees Celsius for 72 hours.
DOI: 10.5281/zenodo.5136454
title: Russian Index of the Research Organizations (RIRO)

description: The RIRO dataset contains standardized official information, geodata, and various identifiers of research organizations in Russia, all interlinked via unified primary key. Currently covered data sources include ROR\GRID, WIkiData, Scopus\Scival IDs, InCites\Web of Science\eLIBRARY names, and the IDs assigned by the Russian Ministry of Science & Higher Education. RIRO lists not only the head organizations, but also their branches and last predecessors, which allows to build an hierarchy and analyze a history of mergers\liquidations using the linked IDs. RIRO is aimed to become a valuable tool for both research managers and academic scholars in the fields of science policy, scientometrics, science and technology studies. www: RIRO Project site
DOI: 10.6084/m9.figshare.14626455.v2
title: Casos_frecuencias.pdf

description: Frecuencias de los estudios de caso analizados en los trabajos científicos sobre desinformación (Web of Science), período 2016-2020.
DOI: 10.5281/zenodo.5119740
title: Duplicate Bug Report Detection using an Attention-basedPre-trained Neural Language Model

description: A BERT based Approach for Automatic Duplicate Bug Report Detection
DOI: 10.6084/m9.figshare.15049449.v1
title: External validation of the T.O.HO. score as predictor of success after retrograde intrarenal surgery

description: The datas of the paper of "External validation of the T.O.HO. score as predictor of success after retrograde intrarenal surgery"
DOI: 10.6084/m9.figshare.15049449
title: External validation of the T.O.HO. score as predictor of success after retrograde intrarenal surgery

description: The datas of the paper of "External validation of the T.O.HO. score as predictor of success after retrograde intrarenal surgery"
DOI: 10.6084/m9.figshare.14626455.v3
title: Casos_frecuencias.pdf

description: Frecuencias de los estudios de caso analizados en los trabajos científicos sobre desinformación (Web of Science), período 2016-2020.
DOI: 10.6084/m9.figshare.15049455
title: sequencing数据.zip

description: medip and rnaseq of two stem cells<br>
DOI: 10.6084/m9.figshare.15049455.v1
title: sequencing数据.zip

description: medip and rnaseq of two stem cells<br>
DOI: 10.6084/m9.figshare.14626455
title: Casos_frecuencias.pdf

description: Frecuencias de los estudios de caso analizados en los trabajos científicos sobre desinformación (Web of Science), período 2016-2020.
DOI: 10.6084/m9.figshare.14626455.v5
title: Casos_frecuencias.pdf

description: Frecuencias de los estudios de caso analizados en los trabajos científicos sobre desinformación (Web of Science), período 2016-2020.
DOI: 10.6084/m9.figshare.14626455.v4
title: Casos_frecuencias.pdf

description: Frecuencias de los estudios de caso analizados en los trabajos científicos sobre desinformación (Web of Science), período 2016-2020.
DOI: 10.34740/kaggle/dsv/2459477
title: Frank Herbert's DUNE Characters
DOI: 10.5281/zenodo.5136473
title: Russian Index of the Research Organizations (RIRO)

description: The RIRO dataset contains standardized official information, geodata, and various identifiers of research organizations in Russia, all interlinked via unified primary key. Currently covered data sources include ROR\GRID, WIkiData, Scopus\Scival IDs, InCites\Web of Science\eLIBRARY names, and the IDs assigned by the Russian Ministry of Science & Higher Education. RIRO lists not only the head organizations, but also their branches and last predecessors, which allows to build an hierarchy and analyze a history of mergers\liquidations using the linked IDs. RIRO is aimed to become a valuable tool for both research managers and academic scholars in the fields of science policy, scientometrics, science and technology studies. www: RIRO Project site
DOI: 10.34740/kaggle/dsv/2461830
title: Frank Herbert's DUNE Characters
DOI: 10.5281/zenodo.5136485
title: S2LMMD's data and scripts

description: Before running 'run.py' to conduct experiments, please download projects from the Apache website.
DOI: 10.5281/zenodo.5136484
title: S2LMMD's data and scripts

description: Before running 'run.py' to conduct experiments, please download projects from the Apache website.
DOI: 10.6084/m9.figshare.14384832.v6
title: axivity-ax6-left-forearm-nondominant

description: 6-axis actigraphy (translation and rotation) using Axivity AX6 (similar to AX3 used in UK BioBank), configured with 100Hz sampling frequency, 16bit resolution and 2000dps gyro/rotation.<br>Attached with a velcro to the exterior of a cotton wrist band with arrow facing down towards the ground/back when arms are in a natural position along the body, on the left forearm (non-dominant arm).<br>Started acquisition in March 2021.<br>Each file represents one acquisition session of about 1 week. Multiple files can be concatenated to study a longer time period.
DOI: 10.5061/dryad.ch8gf53/7
title: Book7
DOI: 10.5061/dryad.d69512q.2
title: Data from: The Palaeozoic colonization of the water column and the rise of global nekton
DOI: 10.5061/dryad.d69512q.2/2.2
title: Whalen & Briggs - Supplementary Data File

description: Ecomorphological assignments for each genus with references, justifications, relative confidence scores, and additional information
DOI: 10.5061/dryad.fn74266/1
title: Anal condylomas_0417_dryad_clean 2018 06 26
DOI: 10.5061/dryad.g9n85sm/1
title: Data Experiment

description: Variable Description - Data Experiment.
	
Block:	Each of the 16 treatments (four chemotypes; two ant treatments (presence and absence); two predator treatments (presence and absence) ) was replicated five times: in five blocks.

Day:	Day of observation. Aphids, ants and predators in each cage were counted with a mechanical counter on days 0, 2, 4, 6, 8, 11, 14, 17 and 20. 

Plant_Chemotype:	Four different chemotypes were tested: chemotypes 2.1, 2.2, 4.1 and 4.2.

Chemotype_Class:	The four different chemotypes belonged to 2 chemotype classes: 2 and 4.

Plant_Identity:	This shows the identity of each individual plant. Each of the 16 treatments was replicated five times resulting in 80 tansy plants (N=80).

Biomass:	The aboveground biomass of each tansy plant was measured by drying plants at 70 °C for three days for dry weight determination at the end of the experiment [g].

Plant_Growth:	Plant growth [cm]: Plant height [cm] at the beginning of the experiment minus plant height [cm] at the end of the experiment.

Ant_Treatment:	Presence (p) or absence (a).

Ant_Abundance:	Ant abundance at the day of observation.

Predator_Treatment:	Presence (p) or absence (a).

Predator_Abundance:	Predator abundance at the day of observation.

Aphid_Abundance:	The number of aphids counted on the day of observation.
DOI: 10.5061/dryad.j3f08d2/15
title: cox1
DOI: 10.5061/dryad.j3f08d2/16
title: cox3
DOI: 10.5061/dryad.j3f08d2/17
title: cytB
DOI: 10.5061/dryad.j3f08d2/18
title: rrnL
DOI: 10.5061/dryad.j3f08d2/19
title: rrnS
DOI: 10.5061/dryad.jk7mq52/1
title: Musariri_et_al_Summary_Browse_data

description: Comma delimited text file containing summarised data for each treatment occasion for each subject.
DOI: 10.5061/dryad.m4862mk/1
title: Figure 1
DOI: 10.5061/dryad.m728c47/30
title: Rhy_fastq.tar.gz

description: RAD sequence data in fastq format for Rhyacophyla brunnea
DOI: 10.5061/dryad.m728c47/31
title: Smi_fastq.tar.gz

description: RAD sequence data in fastq format for Smicridea sp
DOI: 10.5061/dryad.mr401g7/1
title: Culicoides_all_fasta_samples

description: This file contain all the fasta files from the Culicoides imicola samples from Collesano and Trapani
DOI: 10.5061/dryad.mr401g7/2
title: mass_espectrometry_profile_all_samples
DOI: 10.5061/dryad.p12cn93/1
title: Gall and chemistry

description: Data on gall infection on, and chemical composition of different Norway spruce families growing in two common gardens in Sweden
DOI: 10.5061/dryad.q666v01/2
title: Templeton Test

description: Code for templeton test (parsimony)
DOI: 10.5061/dryad.q666v01/3
title: Kishino-Hasegawa test code (ML)

description: Code performed for the Kishino-Hasegawa test in PAUP* for ML analysis
DOI: 10.5061/dryad.q666v01/4
title: Explanation of Characters

description: Explanation of characters and codings used in the analysis
DOI: 10.5061/dryad.s6j3678/1
title: willett_etal_2018

description: Results from entomopathogenic nematode bioassays.
DOI: 10.5061/dryad.sn878g4/10
title: TC65_2_R1_001.fastq
DOI: 10.5061/dryad.sn878g4/11
title: TC65_3_R1_001.fastq
DOI: 10.5061/dryad.sn878g4/12
title: TC65_3_R2_001.fastq
DOI: 10.5061/dryad.sn878g4/13
title: PMB_sorting_2_R1_001.fastq
DOI: 10.5061/dryad.sn878g4/14
title: PMB_sorting_2_R2_001.fastq
DOI: 10.5061/dryad.sn878g4/15
title: PMB_sorting_1_R1_001.fastq
DOI: 10.5061/dryad.sn878g4/16
title: PMB_sorting_1_R2_001.fastq
DOI: 10.5061/dryad.sn878g4/8
title: TC65_1_R2_001.fastq
DOI: 10.5061/dryad.sn878g4/9
title: TC65_2_R2_001.fastq
DOI: 10.5061/dryad.10p091f/1
title: Immunity, development time and dry body mass measurements of Galleria mellonella moths

description: This data contains measurements of immune function (strength of encapsulation response against an artificial parasite) at pupal and adult stage, adult dry body mass and egg-to-adult development time in Galleria mellonella. The moths were divided between different treatment groups according to larval diet (low- or high-nutrition diet) and immune activation treatment. Immune activation treatment groups include controls, sham controls (subjected to a minor cuticular puncture) and moths subjected to an artificial parasite-like immune challenge using nylon monofilament implants. The immune activation treatment was conducted one day after pupation.
DOI: 10.5061/dryad.1615c2p/2
title: dna-100nms-1

description: dsDNA force-extension curves, 100nms, folder 1/8
DOI: 10.5061/dryad.1615c2p/3
title: dna-100nms-2

description: dsDNA force-extension curves, 100nms, folder 2/8
DOI: 10.5061/dryad.1615c2p/4
title: dna-100nms-3

description: dsDNA force-extension curves, 100nm/s, folder 3/8
DOI: 10.5061/dryad.1615c2p/5
title: dna-100nms-4

description: dsDNA force-extension curves, 100nm/s, folder 4/8
DOI: 10.5061/dryad.1bj51s9/1
title: Figure S1

description: Histograms of corrected p-values from genome-environment association analyses using LFMM.
DOI: 10.5061/dryad.1bj51s9/2
title: Figure S2

description: Genetic PCA based on the entire SNP dataset (A) or on the candidate SNPs only (B) for Anolis punctatus. Red arrows indicate A. punctatus sample MTR 20798 from Pacaraima, a mid-elevation site (820 m above sea level) in the Guiana Shield region that overlaps climatically with Atlantic Forest sites (see Fig. 3).
DOI: 10.5061/dryad.1bj51s9/3
title: Table S1

description: Sampled specimens and locality information.
DOI: 10.5061/dryad.1bj51s9/4
title: Table S2

description: Specimens used in climatic space occupancy analyses.
DOI: 10.5061/dryad.1bj51s9/5
title: Table S3

description: Loadings of each climatic variable on PC1, and correlations among climate variables and PC1 scores.
DOI: 10.5061/dryad.306sf0b/3
title: Metal content in yeast data

description: Mitochondrial metals (Fe, Cu, Co, Zn, Mn, Cd) content in yeast  transformed with empty vector or expressing CsMTP6. The yeast were grown in the presence of 100 microM concentration of each metal for 12 hours prior the preparation of mitochondria. metals content was determined by Atomic Absorption Spectrophotometer (AAS 3300, Perkin Elmer). The data are expressed in nmol x mg-1 protein and come from three separate experiments.
DOI: 10.5061/dryad.306sf0b/4
title: Metal content in protoplasts data

description: Mitochondrial metals (Fe, Mn) content in protoplasts prepared from Arabidopsis thaliana suspension cells and transformed with empty vector pA7 or with the vector carrying cucumber CsMTP6 gene. Following transformation, protoplasts were incubated with 100 mcroM FeSO4-EDTA or 100 microM MnSO4 with slow agitation. Metal content was determined by AAS.The data are expressed in nmol of metal x mg-1 protein and were obtained in three separate experiments
DOI: 10.5061/dryad.347tv64/1
title: Red squirrel litter sex ratio data

description: Collected by the Kluane Red Squirrel Project (KRSP) in the field.
DOI: 10.5061/dryad.482h6h2/1
title: BodyContentSoldiers

description: Body content in protein and lipid of soldier that died during the experiment.
DOI: 10.5061/dryad.4p2781m/1
title: BI tree (chimaeric assemblage).nex

description: BI tree (chimaeric assemblage)
DOI: 10.5061/dryad.4p2781m/2
title: BI tree (without chimaeric assemblage)

description: BI tree (without chimaeric assemblage)
DOI: 10.5061/dryad.4p2781m/3
title: RAxML_bipartitions (chimaeric assemblage)

description: RAxML_bipartitions (chimaeric assemblage)
DOI: 10.5061/dryad.4p2781m/4
title: RAxML_bipartitions (no chimaeric assemblage)

description: RAxML_bipartitions (no chimaeric assemblage)
DOI: 10.5061/dryad.4vr063d/1
title: color_data

description: Raw color measurements for common garden (CG) study and agonistic character displacement (ACD) study. S = sympatric, A = allopatric, ot = orangethroat darter (E. spectabile), rb = rainbow darter (E. caeruleum), R = red coloration, B = blue coloration, r = R value, g = G value, b =B value, Prop = proportion, DF = dorsal fin, AF = anal fin, CF = caudal fin.
DOI: 10.5061/dryad.53n0rf5/1
title: Breseq output with verification

description: Tab delimited data file listing mutations observed in evolved populations. Includes a column labeling whether a given mutation is included in the Bray-Curtis analysis. This file is used by the R scripts for Bray-Curtis and NMDS analysis.
DOI: 10.5061/dryad.53n0rf5/2
title: Bray-Curtis calculations R script

description: This script uses Breseq_Output_with_verification.txt data file. It tests whether there is a significant difference in mutation number between treatments, calculates the Bray-Curtis pairwise similarity between each pair of populations, and conducts randomization tests.