cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive3436.20180622.3
title: Cystobacter violaceus (ex Kühlwein and Gallwitz 1958) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive3437.20180622.3
title: Cystobacter violaceus (ex Kühlwein and Gallwitz 1958) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive3438.20180622.3
title: Cystobacter violaceus (ex Kühlwein and Gallwitz 1958) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive3439.20180622.3
title: Cystobacter violaceus (ex Kühlwein and Gallwitz 1958) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive3440.20180622.3
title: Cystobacter violaceus (ex Kühlwein and Gallwitz 1958) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4168.20180622.3
title: Desulfovibrio idahonensis Sass et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4169.20180622.3
title: Desulfovibrio idahonensis Sass et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4170.20180622.3
title: Desulfovibrio butyratiphilus Suzuki et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4171.20180622.3
title: Desulfovibrio africanus subsp. uniflagellum Castañeda-Carrión et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4172.20180622.3
title: Desulfovibrio lacusfryxellense Sattley and Madigan 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5034.20180622.3
title: Photorhabdus temperata subsp. temperata Fischer-Le Saux et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5035.20180622.3
title: Photorhabdus luminescens subsp. akhurstii Fischer-Le Saux et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5036.20180622.3
title: Photorhabdus luminescens subsp. laumondii Fischer-Le Saux et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5037.20180622.3
title: Photorhabdus luminescens subsp. laumondii Fischer-Le Saux et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5038.20180622.3
title: Photorhabdus asymbiotica subsp. asymbiotica Fischer-Le Saux et al. 1999

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5039.20180622.3
title: Photorhabdus luminescens subsp. kayaii Hazir et al. 2004

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5040.20180622.3
title: Photorhabdus luminescens subsp. kayaii Hazir et al. 2004

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5921.20180622.3
title: Halococcus agglomeratus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5922.20180622.3
title: Halococcus nondenitrificans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5923.20180622.3
title: Halococcus saccharolyticus Montero et al. 1990

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5924.20180622.3
title: Halococcus salifodinae Denner et al. 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5925.20180622.3
title: Halococcus salifodinae Denner et al. 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5926.20180622.3
title: Halococcus salifodinae Denner et al. 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5927.20180622.3
title: Halococcus salifodinae Denner et al. 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive5928.20180622.3
title: Halococcus salifodinae Denner et al. 1994

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6802.20180622.3
title: Leptospira weilii Yasuda et al. 1987

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6803.20180622.3
title: Leptospira kirschneri Ramadass et al. 1992

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.23613918
title: Escherichia coli

description: This dataset contains GWAS summary file generated from sputum metagenomic data for COPD patients.
DOI: 10.6084/m9.figshare.23613918.v1
title: Escherichia coli

description: This dataset contains GWAS summary file generated from sputum metagenomic data for COPD patients.
DOI: 10.6084/m9.figshare.23613921
title: Haemophilus influenzae

description: This dataset contains GWAS summary file generated from sputum metagenomic data for COPD patients.
DOI: 10.6084/m9.figshare.23613921.v1
title: Haemophilus influenzae

description: This dataset contains GWAS summary file generated from sputum metagenomic data for COPD patients.
DOI: 10.5281/zenodo.8104891
title: SG - June 2023

description: Measurements of SG (Global) in June 2023 Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104890
title: SG - June 2023

description: Measurements of SG (Global) in June 2023 Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104893
title: LPL1 - June 2023

description: Measurements of LPL1 (Teide NP) in June 2023 Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104892
title: LPL1 - June 2023

description: Measurements of LPL1 (Teide NP) in June 2023 Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104895
title: LPL2 - June 2023

description: Measurements of LPL2 (Caldera de Taburiente NP) in June 2023 La Palma Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104894
title: LPL2 - June 2023

description: Measurements of LPL2 (Caldera de Taburiente NP) in June 2023 La Palma Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104897
title: LPL3 - June 2023

description: Measurements of LPL3 (Madeira East Coast) in June 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104896
title: LPL3 - June 2023

description: Measurements of LPL3 (Madeira East Coast) in June 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104899
title: LPL4 - June 2023

description: Measurements of LPL4 (Ilha do Corvo) in June 2023 Corvo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104898
title: LPL4 - June 2023

description: Measurements of LPL4 (Ilha do Corvo) in June 2023 Corvo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104901
title: LPL5 - June 2023

description: Measurements of LPL5 (Tejeda) in June 2023 Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104900
title: LPL5 - June 2023

description: Measurements of LPL5 (Tejeda) in June 2023 Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104903
title: LPL7 - June 2023

description: Measurements of LPL7 (Archipielago Chinijo) in June 2023 Archipielago Chinijo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104902
title: LPL7 - June 2023

description: Measurements of LPL7 (Archipielago Chinijo) in June 2023 Archipielago Chinijo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104905
title: LPL8 - June 2023

description: Measurements of LPL8 (Timanfaya NP) in June 2023 Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104904
title: LPL8 - June 2023

description: Measurements of LPL8 (Timanfaya NP) in June 2023 Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104907
title: LPL11 - June 2023

description: Measurements of LPL11 (Frontera Rural Park) in June 2023 El Hierro Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104906
title: LPL11 - June 2023

description: Measurements of LPL11 (Frontera Rural Park) in June 2023 El Hierro Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104909
title: LPL12 - June 2023

description: Measurements of LPL12 (Ilhas Desertas) in June 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.8104908
title: LPL12 - June 2023

description: Measurements of LPL12 (Ilhas Desertas) in June 2023 Madeira Light Pollution Laboratorie info
DOI: 10.6084/m9.figshare.23613924
title: Haemophilus parahaemolyticus

description: This dataset contains GWAS summary file generated from sputum metagenomic data for COPD patients.
DOI: 10.6084/m9.figshare.23613924.v1
title: Haemophilus parahaemolyticus

description: This dataset contains GWAS summary file generated from sputum metagenomic data for COPD patients.
DOI: 10.5281/zenodo.4033224
title: An independent contribution of colour to the aesthetic preference for paintings

description: Dataset related to the following publication: Anke MaritAlbers, Karl R.Gegenfurtner, Sérgio M.C.Nascimento, 2020, "An independent contribution of colour to the aesthetic preference for paintings", Vision Research, Volume 177, December 2020, Pages 109-117 https://doi.org/10.1016/j.visres.2020.08.005
DOI: 10.57760/sciencedb.j00133.00200
title: Pretreatment and experimental result data
title: 预处理及实验结果数据

description: From the citeulike-a original dataset, the user literature collection data and literature literature citation data obtained from the processing, as well as the experimental result data.
description: From the citeulike-a original dataset, the user literature collection data and literature literature citation data obtained from the processing, as well as the experimental result data.
DOI: 10.5281/zenodo.5909735
title: Data belonging to 2022_Denissen_ELI_CMIP6_Nat_Clim_Change

description: The Data and RData folders belonging to 2022_Denissen_ELI_CMIP6_Nat_Clim_Change. Both of the folders can be unzipped with 'tar -xf Data.tar.gz' and 'tar -xf RData.tar.gz' in the main directory. This data is meant to reproduce the analysis and figures of ...
DOI: 10.5281/zenodo.3490953
title: Marmoset SNP Calls VCF

description: Bgzipped vcf and tabix index files of marmoset SNP calls of 9 individuals on the calJac3 assembly.
DOI: 10.5281/zenodo.4621066
title: Project MONAI 2020 Bootcamp Challenge Dataset

description: Context This data is for the day 3 challenge of the MONAI bootcamp 2020. Given a network to classify images as being normal chest xrays or subjects with pneumonia, develop a new classifier with MONAI to classify as normal (0), pneumonia (1), or a Covid-19 patient (2). Sources Data was acquired from the following sources: https://www.kaggle.com/prashant268/chest-xray-covid19-pneumonia https://data.mendeley.com/datasets/fvk7h5dg2p/3 https://www.kaggle.com/bachrr/covid-chest-xray https://www.kaggle.com/nih-chest-xrays/data https://www.kaggle.com/tawsifurrahman/covid19-radiography-database
DOI: 10.5281/zenodo.4529076
title: Dataset for 'Meta-Learning Baselines and Database for Few-shot Classification in Agriculture'

description: Dataset for 'Meta-Learning Baselines and Database for Few-shot Classification in Agriculture'
DOI: 10.5281/zenodo.3753533
title: Huge HCC

description: Data related to patients with huge HCC treated by liver resection or TACE
DOI: 10.5281/zenodo.4680394
title: Hand Labelled Crop / Non Crop datasets

description: This dataset provides the hand-labelled crop / non-crop points used for training, which were created by labelling high-resolution satellite imagery in QGIS and Google Earth Pro. Data is available for Ethiopia, Sudan, Togo and Kenya. Code used to process these points is available in the following github repository: https://github.com/nasaharvest/crop-maml For more information, or if you use any part of this dataset, please refer to / cite the following paper: Gabriel Tseng, Hannah Kerner, Catherine Nakalembe and Inbal Becker-Reshef. 2021. Learning to predict crop type from heterogeneous sparse labels using meta-learning. GeoVision Workshop at CVPR ’21: June 19th, 2021
DOI: 10.5281/zenodo.889296
title: High Frequency Somatosensory Meg: Raw Data

description: This dataset contains somatosensory evoked responses recorded with Elekta TRIUX magnetoencephalography (MEG) system. The purpose of the measurements was to examine high-frequency (HF) somatosensory responses. To this end, a large number of responses (couple of thousand) were recorded with a short interstimulus interval (randomized between 300-350 ms). A constant-current electric stimulator was used, with the electrodes placed around the median nerve at the right wrist. The magnitude of the current was individually determined so that the stimulation was slightly below motor threshold; it was approximately 7 mA. The length of the current pulse was set at 200 microseconds.

Measurements from two subjects are included. This dataset contains raw MEG data only. For evoked data and structural (MRI) data, see https://doi.org/10.5281/zenodo.889234
DOI: 10.5281/zenodo.4267180
title: AERA5-Asia: a new Asian precipitation dataset (0.1°, hourly, 1951-2015, Asia) in exploiting the spatiotemporal characteristics of ERA5-Land under the total volume control by APHRODITE (1981)

description: The datasets provide a long term precipitation dataset with finer quality over the Asia (0.1°, hourly, 1951-2015, Asia) for the Asian applications. Data Format: GeoTIFF Spatial Coverage: 60°E-150°E, 15°S-55°N, land.
DOI: 10.5281/zenodo.4630143
title: Effects of Visual and Auditory Feedback in Violin and Singing Voice Pitch Matching Tasks

description: INFORMATION: This folder contains all the data from a study in process of publication in Frontiers in Psychology called<br> 'Effects of Visual and Auditory Feedback in Violin and Singing Voice Pitch Matching Tasks' <br> by Angel David Blanco, Simone Tassani and Rafael Ramirez. <br> FILES and FOLDERS: files: participants_raw_data_intonation.mat<br> % This file contains the raw data from all the participants except the .wav files. <br> spss_script.m<br> % This script creates from 'participants_raw_Sound_Motion.mat' the arrays with the averaged analysis per Group and Condition which <br> was used for the SPSS Analysis of the experiment. participant.m<br> % Class of participants (explained below) participant_results<br> % Class with the results for each participant (explained below) Statistics.sav<br> % SPSS file with the statistical data from all the analysis presented in Blanco et al. (2021, in process) Correct_notes_output_stats.spv<br> % SPSS Output file with the statistical results for the correct notes variable and the simple main effect analysis for each group and condition. Error_in_cents_output_stats.sav<br> % SPSS file with the statistical results for the error in cents variable and the simple main effect analysis for each group and condition Output_duration.spv<br> % SPSS Output file with the statistical results for the duration and number of request variables. Readme.txt % Text file. Contains all the information needed to interpret the results and the data. <br> Folder Spss_stats. Inside this folder, we have different scripts which spss_script.m uses such as create_spss_vectors_Age.m or create_spss_vectors_correct_notes.m which return<br> the arrays needed for the SPSS analysis. All the participants in those arrays are always in the same order and can be identified through the ID variable for each group.
DOI: 10.5281/zenodo.4630144
title: Effects of Visual and Auditory Feedback in Violin and Singing Voice Pitch Matching Tasks

description: INFORMATION: This folder contains all the data from a study in process of publication in Frontiers in Psychology called<br> 'Effects of Visual and Auditory Feedback in Violin and Singing Voice Pitch Matching Tasks' <br> by Angel David Blanco, Simone Tassani and Rafael Ramirez. <br> FILES and FOLDERS: files: participants_raw_data_intonation.mat<br> % This file contains the raw data from all the participants except the .wav files. <br> spss_script.m<br> % This script creates from 'participants_raw_Sound_Motion.mat' the arrays with the averaged analysis per Group and Condition which <br> was used for the SPSS Analysis of the experiment. participant.m<br> % Class of participants (explained below) participant_results<br> % Class with the results for each participant (explained below) Statistics.sav<br> % SPSS file with the statistical data from all the analysis presented in Blanco et al. (2021, in process) Correct_notes_output_stats.spv<br> % SPSS Output file with the statistical results for the correct notes variable and the simple main effect analysis for each group and condition. Error_in_cents_output_stats.sav<br> % SPSS file with the statistical results for the error in cents variable and the simple main effect analysis for each group and condition Output_duration.spv<br> % SPSS Output file with the statistical results for the duration and number of request variables. Readme.txt % Text file. Contains all the information needed to interpret the results and the data. <br> Folder Spss_stats. Inside this folder, we have different scripts which spss_script.m uses such as create_spss_vectors_Age.m or create_spss_vectors_correct_notes.m which return<br> the arrays needed for the SPSS analysis. All the participants in those arrays are always in the same order and can be identified through the ID variable for each group.
DOI: 10.5281/zenodo.4534369
title: Disordered information processing dynamics in experimental epilepsy

description: Abstract Neurological disorders share common high-level alterations, such as cognitive deficits, anxiety, and depression. This raises the possibility of fundamental alterations in the way information conveyed by neural firing is maintained and dispatched in the diseased brain. Using experimental epilepsy as a model of neurological disorder we tested the hypothesis of altered information processing, analyzing how neurons in the hippocampus and the entorhinal cortex store and exchange information during slow and theta oscillations. We equate the storage and sharing of information to low level, or primitive, information processing at the algorithmic level, the theoretical intermediate level between structure and function. We find that these low-level processes are organized into substates during brain states marked by theta and slow oscillations. Their internal composition and organization through time are disrupted in epilepsy, loosing brain state-specificity, and shifting towards a regime of disorder in a brain region dependent manner. We propose that the alteration of information processing at an algorithmic level may be a mechanism behind the emergent and widespread co-morbidities associated with epilepsy, and perhaps other disorders.
description: Partial data for this publication. For full data set please contact Wesley Clawson.
DOI: 10.5281/zenodo.4554201
title: Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A controlled, Randomized Trial.

description: <br> <strong>INFORMATION:</strong> This folder contains all the data from a study in process of publication in Frontiers in Psychology called<br> 'Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A Controlled, Randomized Trial.' <br> by Angel David Blanco, Simone Tassani, and Rafael Ramirez. <br> <strong>FILES and FOLDERS:</strong> files: participants_raw_Sound_Motion.mat<br> % This file contains the raw data from all the participants except the .wav files. <br> spss_script.m<br> % This script creates from 'participants_raw_Sound_Motion.mat' the arrays with the averaged analysis per Group and Condition which was used for the SPSS Analysis of the experiment. participant.m<br> % Class of participants (explained below) participant_results<br> % Class with the results for each participant (explained below) avg_bowSkew.m<br> avg_dynStab.m<br> avg_pitchStab.m<br> % each one of these files is used by spss_script.m to average the descriptors for each condition and participant Kinematic_Analysis.sav<br> % SPSS file with the results from the descriptor bow Skewness for each group and condition Kinematic_Analysis_Output.spv<br> % SPSS Output file with the statistical results from the univariate 3x5 mixed-design ANOVA for the bow skewness variable and the simple main effect analysis. SoundQuality_Analysis.sav<br> % SPSS file with the results from the descriptors dynamic instability and pitch instability for each group and condition SoundQuality_Analysis_Output.spv<br> % SPSS Output file with the statistical results from the multivariate 3x5 mixed-design ANOVA for the dynamic instability and pitch instability variables<br> and their simple main effect analysis. <br> Folder Spss_stats. Inside this folder, we have different scripts such as create_spss_vectors_Age.m or create_spss_vectors_bowSkew.m which return the arrays needed for the SPSS analysis. All the participants in those arrays are always in the same order and can be identified through the ID. <br>
DOI: 10.5281/zenodo.2642527
title: Binary black-hole simulation SXS:BBH:0589

description: Simulation of a black-hole binary system evolved by the SpEC code.