cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24139257.v1
title: DataSheetInstagram.xlsxMatriz de Datos Investigación Instagram Candidatas Comunidad Madrid 2023

description: This document outlines the material and methods employed in a research study aimed at identifying instances of hate speech within Instagram comments during the electoral campaign that occurred from May 12th to May 26th, 2023. The research is divided into two distinct phases. Initially, a comprehensive sample of comments generated across 175 posts made by the female candidates during this timeframe was collected, resulting in a total of 13,831 responses (refer to Table 1). This data collection process was executed utilizing the premium version of ExportComments.com.
DOI: 10.21227/7r4a-ae18
title: MIMO radar data to improve the resolutions of each dimension

description: To improve the speed and direction of arrival (DOA) measurement resolution and accuracy using multiple input multiple output (MIMO) frequency modulation continuous wave (FMCW) radar, an novel algorithm based on rotation vector was proposed to expand the observation data dimensions so that higher measurement performance can be achieved. According to the phase relationship between data of each receiving channel at the serial observation time, the original data of MIMO radar can be expressed as a rotating complex vector. The received multi-channel data at the same observation time is spliced for the speed measurement to expand the observation duration, and the data at the sequential observation moments is spliced for the angle measurement to virtually expand the channel number. As a result, the data dimensions are enlarged as well as the Rayleigh resolution of speed and DOA are improved. Experiments were conducted using 77GHz millimeter wave radar. From the results it can be seen that the measurement accuracy and resolution are improved significantly. Therefore, the correctness and effectiveness of the proposed method are verified by the illustrated results.
DOI: 10.6084/m9.figshare.24139218
title: EAT-GIP data.sav

description: EAT-GIP
DOI: 10.6084/m9.figshare.24139218.v1
title: EAT-GIP data.sav

description: EAT-GIP
DOI: 10.5281/zenodo.8344676
title: Breath Profiles dataset

description: Data comprising sensor voltages for breath samples collected from 492 patients. It also contains their body vitals information.
DOI: 10.5281/zenodo.8344675
title: Breath Profiles dataset

description: Data comprising sensor voltages for breath samples collected from 492 patients. It also contains their body vitals information.
DOI: 10.5281/zenodo.8345539
title: pouteria_campechiana_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8345538
title: pouteria_campechiana_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8345510
title: Competence Centres and User Support Centres Landscaping Results

description: The dataset contains the data collected from the landscaping activity related to the Competence Centre and user support network for the D7.1 Report on Competence Centres landscape and user support activities.
DOI: 10.6084/m9.figshare.22631302.v1
title: The 2 km grids

description: The 2 km grids covered mainland China.
DOI: 10.6084/m9.figshare.22631305
title: Hourly gridded emissions

description: Hourly gridded open biomass burning emissions from 2016 to 2020
DOI: 10.6084/m9.figshare.22631305.v1
title: Hourly gridded emissions

description: Hourly gridded open biomass burning emissions from 2016 to 2020
DOI: 10.6084/m9.figshare.22631308.v1
title: Hourly provincial emissions

description: Hourly provincial open biomass burning emissions from 2016 to 2020
DOI: 10.6084/m9.figshare.22631302
title: The 2 km grids

description: The 2 km grids covered mainland China.
DOI: 10.6084/m9.figshare.22631308
title: Hourly provincial emissions

description: Hourly provincial open biomass burning emissions from 2016 to 2020
DOI: 10.6084/m9.figshare.22631311
title: Code for emission estimation

description: Code for open biomass burning emission estimation
DOI: 10.6084/m9.figshare.22631311.v1
title: Code for emission estimation

description: Code for open biomass burning emission estimation
DOI: 10.5281/zenodo.8345511
title: Competence Centres and User Support Centres Landscaping Results

description: The dataset contains the data collected from the landscaping activity related to the Competence Centre and user support network for the D7.1 Report on Competence Centres landscape and user support activities.
DOI: 10.6084/m9.figshare.24139380
title: 20230915_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24139380.v1
title: 20230915_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.8305842
title: Does It Spin? On the Adoption and Use of QUIC's Spin Bit

description: <pre>This repository contains the extracted raw spin bit values as used in our paper as well as golang scripts for analyzing them. ## Publication * Ike Kunze, Constantin Sander, and Klaus Wehrle: *Does It Spin? On the Adoption and Use of QUIC’s Spin Bit. In Proceedings of the ACM Internet Measurement Conference 2023 (IMC '23), 2023. If you use any portion of our work, please consider citing our publication. ``` @Inproceedings { 2023-kunze-spin-bit-in-the-wild, author = {Kunze, Ike and Sander, Constantin and Wehrle, Klaus}, title = {Does It Spin? On the Adoption and Use of QUIC’s Spin Bit}, booktitle = {Proceedings of the Internet Measurement Conference (IMC '23)}, year = {2023}, month = {10}, publisher = {ACM}, doi = {TBD} } ```</pre> ## Use 1. Decompress the dataset: For using the data set, first untar the data. ```<br> tar -xzf extracted-spin-bit-values.tar.gz ``` 1.1 Data format: The files contained in the data set each contain line-wise dictionaries with the following content: - QlogRTTs: RTTs as provided by the QUIC stack via qlog - SentSpinBits: all packets sent out by our client, each containing a timestamp, the spinbit value (Val) and the packet number (PN) - RecvSpinBits: all packets received by our client, each containing a timestamp, the spinbit value (Val) and the packet number (PN) 2. Compile golang module: We use a golang module for analyzing the data.<br> Compile the module using ```<br> go build -o analyze-spinbit analyze-spinbit.go<br> ``` 3. Analyze individual files: You can analyze the files by running the compiled `analyze-spinbit` program on individual files.<br> <br> ```<br> cat FILE_TO_ANALYZE | ./analyze-spinbit -buffer 1073741824 -logfile LOGFILENAME -outputfilebasename OUTPUTFILENAME --batchsize 1000000 --outputsuffix json<br> ``` 4. Output format: Line-wise dictionaries containing: - which spin mode was detected - number of considered packets - real RTTs based on QUIC stack estimates - minimum RTT based on QUIC stack estimates - RTTs as calculated via the spin bit - RTTs as calculated via the spin bit when reordering the packets using the packet numbers
DOI: 10.25790/bml0cm.149
title: VUIIS - 3T - Functional Contrasts - Resting/MotorStim/SensoryStim/Visual
DOI: 10.18112/openneuro.ds004757.v1.0.0
title: SpinalExpect_Invasive
DOI: 10.5281/zenodo.8345870
title: serinus_syriacus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8345869
title: serinus_syriacus_spades_01.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/6473486
title: MoviesDatasets
DOI: 10.5281/zenodo.8346047
title: actdr4kappa-x-desy3gamma-data

description: Data repository for Shaikh, Harrison et al (2023) on ACT-DR4 CMB lensing x DES-Y3 cosmic shear. Please see README.md for full description and the paper for full acknowledgements.
description: Can also be viewed at https://github.com/itrharrison/actdr4kappa-x-desy3gamma-data/
DOI: 10.5281/zenodo.8346046
title: actdr4kappa-x-desy3gamma-data

description: Data repository for Shaikh, Harrison et al (2023) on ACT-DR4 CMB lensing x DES-Y3 cosmic shear. Please see README.md for full description and the paper for full acknowledgements.
description: Can also be viewed at https://github.com/itrharrison/actdr4kappa-x-desy3gamma-data/
DOI: 10.5281/zenodo.8345996
title: Investigating Open Innovation Practices to Support Requirements Management in Software Ecosystems

description: Supplementary material.
DOI: 10.5281/zenodo.8345995
title: Investigating Open Innovation Practices to Support Requirements Management in Software Ecosystems

description: Supplementary material.
DOI: 10.18462/iir.icr.2023.0952
title: Building blocks for a digital twin of large cool store complexes.
DOI: 10.5517/ccdc.csd.cc2gt6yg
title: CCDC 2288356: Experimental Crystal Structure Determination

description: Related Article: L. Nye, S.G. Telfer, M.M. Turnbull|2023|IUCrData|8|x230713|doi:10.1107/S2414314623007137
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24bg0z
title: CCDC 1976250: Experimental Crystal Structure Determination

description: Related Article: J. Jia, R.L. LaDuca|2023|IUCrData|8|x230745|doi:10.1107/S2414314623007459
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15152/qdb.259
title: Data for: Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. QsarDB repository, QDB.

description: This QDB archive contains data and model(s) from the following publication: Piir, G.; Sild, S.; Maran, U. Interpretable machine learning for the identification of estrogen receptor agonists, antagonists, and binders. Chemosphere 2023.
DOI: 10.6084/m9.figshare.22779419.v1
title: Swartz and Behm_2023_Littered food removal by urban birds and squirrels

description: Data and code to accompany Swartz and Behm (2023) "Squirrels just wanna eat crumbs: Context-dependency of littered food removal ecosystem services by urban vertebrates".
DOI: 10.5281/zenodo.6650877
title: GPR-BMP-SPI: High spatial resolution multi-scale SPI datasets over China from January 1984 to December 2020

description: The datasets include standard precipitation index (SPI) at 1-month, 3-month, 6-month, 9-month and 12-month scales over the main terrestrial lands of China from January 1984 to December 2020. The SPI datasets were produced by blending the information from meteorological stations, and precipitation products, as well as topographical and geographical variables based on Gaussian process regression (GPR) models. The meteorological station data are from the China Meteorological Data Service Centre. Five precipitation products are used: (1) CHIRPS Daily: Climate Hazards Group InfraRed Precipitation With Station Data (Version 2.0 Final); (3) ERA5-Land Monthly Averaged by Hour of Day - ECMWF Climate Reanalysis; (3) FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System; (4) PERSIANN-CDR: Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record; (5) TerraClimate: Monthly Climate and Climatic Water Balance for Global Terrestrial Surfaces. The maps of the difference of the confidence intervals (the upper prediction limit minus the lower prediction limit) at a significance level of 95% are also provided to show the spatial uncertainty of every single SPI map. The drought events were counted during 1984-2020 at annual and seasonal scales. The variables related to the drought events are presented in “Drought_Event.zip”. Reference: He, Q., Wang, M., Liu, K., Li, B., & Jiang, Z. (2023). Spatiotemporal analysis of meteorological drought across China based on the high-spatial-resolution multiscale SPI generated by machine learning. <em>Weather and Climate Extremes</em>, <em>40</em>, 100567.
DOI: 10.6084/m9.figshare.22779419
title: Swartz et al._2023_Littered food removal by urban birds and squirrels

description: Data and code to accompany Swartz et al. (2023) "Squirrels just wanna eat crumbs: Context-dependency of littered food removal ecosystem services by urban vertebrates".
DOI: 10.6084/m9.figshare.22779419.v2
title: Swartz et al._2023_Littered food removal by urban birds and squirrels

description: Data and code to accompany Swartz et al. (2023) "Squirrels just wanna eat crumbs: Context-dependency of littered food removal ecosystem services by urban vertebrates".
DOI: 10.6084/m9.figshare.24084894
title: YOPIE Author ARRIVE Checklist - Full.pdf

description: Arrive checklist score
DOI: 10.6084/m9.figshare.24084894.v1
title: YOPIE Author ARRIVE Checklist - Full.pdf

description: Arrive checklist score
DOI: 10.5281/zenodo.8346264
title: BME Weights for Non-Phosphorylated and 5-Phosphorylated 4E-BP2 ensembles generated with FastFloppyTail Deposited on the PED

description: Bayesian Maximum Entropy (BME) weights for NP- and 5P-4E-BP2 ensembles deposited on the Protein Ensemble Database (PED). 5p_100* correspond to weights for the N = 100 5-phosphorylated conformer ensemble, np_1000* correspond to weights for the N = 1000 non-phosphorylated conformer ensemble respectively.
DOI: 10.3886/e190641
title: Data and Code for: Intrinsic Information Preferences and Skewness

description: This project examines whether people have an intrinsic preference for negatively skewed or positively skewed information structures and how these preferences relate to intrinsic preferences for informativeness. It reports results from 5 studies (3 lab experiments, 2 online studies).
description: Experiment 1 and Experiment 2 included University of Michigan students who signed up to participate in the study. Experiment 3 included University of Michigan and University of Massachusetts students who signed up to participate in the study. All participants were 18 or older. The Alzheimer's survey was fielded on the Prolific and Amazon MTurk platforms and targeted individuals who listed English as their first language and were older than 40 years. The IQ Test study was fielded on the Amazon MTurk platform and targeted adults who are U.S. residents.<br>
description: Persons aged 18 and over living in the U.S. with access to computers and internet.
DOI: 10.5281/zenodo.8346263
title: BME Weights for Non-Phosphorylated and 5-Phosphorylated 4E-BP2 ensembles generated with FastFloppyTail Deposited on the PED

description: Bayesian Maximum Entropy (BME) weights for NP- and 5P-4E-BP2 ensembles deposited on the Protein Ensemble Database (PED). 5p_100* correspond to weights for the N = 100 5-phosphorylated conformer ensemble, np_1000* correspond to weights for the N = 1000 non-phosphorylated conformer ensemble respectively.
DOI: 10.3886/e190641v1
title: Data and Code for: Intrinsic Information Preferences and Skewness

description: This project examines whether people have an intrinsic preference for negatively skewed or positively skewed information structures and how these preferences relate to intrinsic preferences for informativeness. It reports results from 5 studies (3 lab experiments, 2 online studies).
description: Experiment 1 and Experiment 2 included University of Michigan students who signed up to participate in the study. Experiment 3 included University of Michigan and University of Massachusetts students who signed up to participate in the study. All participants were 18 or older. The Alzheimer's survey was fielded on the Prolific and Amazon MTurk platforms and targeted individuals who listed English as their first language and were older than 40 years. The IQ Test study was fielded on the Amazon MTurk platform and targeted adults who are U.S. residents.<br>
description: Persons aged 18 and over living in the U.S. with access to computers and internet.
DOI: 10.5281/zenodo.8346329
title: First trial fairly dataset v.1.1.

description: A dataset from the Fairly Toolset workshop
DOI: 10.5281/zenodo.8346328
title: First trial fairly dataset v.1.1.

description: A dataset from the Fairly Toolset workshop
DOI: 10.6084/m9.figshare.24139452
title: Data_may the intentional candidate win

description: Dataset with three studies where participants imagine they are managers predicting others performance after a sequence of past performers from their workers or candidates to a position.
DOI: 10.6084/m9.figshare.24139452.v1
title: Data_may the intentional candidate win

description: Dataset with three studies where participants imagine they are managers predicting others performance after a sequence of past performers from their workers or candidates to a position.
DOI: 10.6084/m9.figshare.22802432.v2
title: <strong>One high-quality genome and two transcriptome datasets for two new species of </strong><em><strong>Mantamonas</strong></em><strong>, a deep-branching eukaryote clade</strong>

description: Genome assembly of the nuclear genome of <em>Mantamonas sphyraenae</em> and gene prediction files generated by Braker2 using RNA seq data and proteins as extrinsic evidence. <br> Cleaned transcript sequences of <em>Mantamonas sphyraenae and M. vickermani</em> and candidate coding regions within predicted using Transdecoder v5.5.0 <br> Phylogenomic datasets, concatenated alignment and trees for CRuMs.
DOI: 10.3886/e193218
title: Data and Code for: Profits, Scale Economies, and the Gains from Trade and Industrial Policy

description: This paper examines the efficacy of second-best trade restrictions at correcting misallocation in the domestic economy. To this end, we derive sufficient statistics formulas for first-best and second- best optimal policies in an important class of quantitative trade models where misallocation stems from scale economies or profit- generating markups. We then estimate the essential parameters of the model and apply our optimal policy formulas to quantify the ex-ante gains from trade and industrial policy among major countries. Our estimates reveal (i) that standalone trade policy measures are remarkably ineffective at correcting misallocation; (ii) unilateral adoption of corrective industrial policies is also ineffective as it leads to immiserizing growth; but (iii) industrial policies coordinated internationally via deep agreements are more transformative than any unilateral policy alternative.
DOI: 10.3886/e193218v1
title: Data and Code for: Profits, Scale Economies, and the Gains from Trade and Industrial Policy

description: This paper examines the efficacy of second-best trade restrictions at correcting misallocation in the domestic economy. To this end, we derive sufficient statistics formulas for first-best and second- best optimal policies in an important class of quantitative trade models where misallocation stems from scale economies or profit- generating markups. We then estimate the essential parameters of the model and apply our optimal policy formulas to quantify the ex-ante gains from trade and industrial policy among major countries. Our estimates reveal (i) that standalone trade policy measures are remarkably ineffective at correcting misallocation; (ii) unilateral adoption of corrective industrial policies is also ineffective as it leads to immiserizing growth; but (iii) industrial policies coordinated internationally via deep agreements are more transformative than any unilateral policy alternative.
DOI: 10.5281/zenodo.7900188
title: Supplementary materials for Detrital garnet geochronology by in-situ U-Pb and Lu-Hf analysis: A case study from the European Alps

description: Figure S2. Interactive 3D version of Fig.2 from main text, using the same symbology. To open, unzip folder and launch the .xhtml file in any internet browser. Use scroll wheel to zoom, left-click and drag to rotate. <br> Table S1. Analytical parameters for garnet U-Pb and Lu-Hf analysis. <br> Table S2. Isotopic and trace-element data. <br> Table S3. Raman data.
DOI: 10.5281/zenodo.7900189
title: Supplementary materials for Detrital garnet geochronology by in-situ U-Pb and Lu-Hf analysis: A case study from the European Alps

description: Figure S2. Interactive 3D version of Fig.2 from main text, using the same symbology. To open, unzip folder and launch the .xhtml file in any internet browser. Use scroll wheel to zoom, left-click and drag to rotate. <br> Table S1. Analytical parameters for garnet U-Pb and Lu-Hf analysis. <br> Table S2. Isotopic and trace-element data. <br> Table S3. Raman data.
DOI: 10.5281/zenodo.8321135
title: EEG Dataset and Processing script Associated with the Manuscript, "Using the Time-varying Drift Rate, the Signal Suppression and the Utility Maximisation to Account for Road Crossing Decisions".

description: The repository archived the behavioural data (zip files) associated with the EEG experiment and the MATLAB script for EEG processing. BDFs stored the down-sampled EEG.
description: We thank the UK Engineering and Physical Sciences Research Council (EPSRC) for supporting Gustav Markkula. The council has funded this project under contract number EP/S005056/1.
DOI: 10.5281/zenodo.8321136
title: EEG Dataset and Processing script Associated with the Manuscript, "Using the Time-varying Drift Rate, the Signal Suppression and the Utility Maximisation to Account for Road Crossing Decisions".

description: The repository archived the behavioural data associated with the EEG experiment and the MATLAB script for processing the EEG. The repository does not include the raw EEG data because of their size.
description: We thank the UK Engineering and Physical Sciences Research Council (EPSRC) for supporting Gustav Markkula. The council has funded this project under contract number EP/S005056/1.
DOI: 10.5281/zenodo.8346121
title: EEG Dataset and Processing script Associated with the Manuscript, "Using the Time-varying Drift Rate, the Signal Suppression and the Utility Maximisation to Account for Road Crossing Decisions".

description: The repository archived the behavioural data (zip files) associated with the EEG experiment and the MATLAB script for EEG processing. BDFs stored the down-sampled EEG.
description: We thank the UK Engineering and Physical Sciences Research Council (EPSRC) for supporting Gustav Markkula. The council has funded this project under contract number EP/S005056/1.
DOI: 10.6084/m9.figshare.24139449
title: 0810

description: <br>Data on manuscript Ecology - ECY23-0810.
DOI: 10.6084/m9.figshare.24139449.v2
title: 0810

description: <br>Data on manuscript Ecology - ECY23-0810.
DOI: 10.6084/m9.figshare.24139449.v1
title: The soil water and salt transport in severe saline-alkali soil after ditching under subsurface pipe drainage conditions.xlsx

description: <br>Data on manuscript Ecology - ECY23-0810.
DOI: 10.5517/ccdc.csd.cc2ckwlf
title: CCDC 2191935: Experimental Crystal Structure Determination

description: Related Article: Monika Malik, Raffaele Senatore, Davide Castiglione, Alexander Roller-Prado, Vittorio Pace|2023|Chem.Commun.|59|11065|doi:10.1039/D3CC03326K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.