cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14500386.v1
title: Supplementary Material for: Quantitative MR-derived biomarkers as predictors of function and histotype in adenohypophyseal tumours

description: Medicine
DOI: 10.48370/ofd/xnmd9p
title: Turzyca zajęcza (Carex ovalis Gooden.), 2730

description: Herbarium
DOI: 10.48370/ofd/s7zbmk/uwqbq6
title: HMW_Carex_ovalis_Gooden._H_2728.jpg

description: :unav
DOI: 10.48370/ofd/s7zbmk
title: Turzyca zajęcza (Carex ovalis Gooden.), 2728

description: Herbarium
DOI: 10.15468/dc59z6
title: Dysdera dushengi sp. nov., the easternmost species of the spider family Dysderidae (Arachnida: Araneae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lin, Yejie, Chang, Wan-Jin, Li, Shuqiang (2020): Dysdera dushengi sp. nov., the easternmost species of the spider family Dysderidae (Arachnida: Araneae). Zoological Systematics 45 (2): 97-103, DOI: 10.11865/zs.202014, URL: http://zoobank.org/be9dd93b-1ffe-4748-b1c6-f16cfce0482a
DOI: 10.48370/ofd/qfjpvi/lur9rd
title: HMW_Carex_ovalis_Gooden._H_2724.jpg

description: :unav
DOI: 10.48370/ofd/qfjpvi
title: Turzyca zajęcza (Carex ovalis Gooden.), 2724

description: Herbarium
DOI: 10.48370/ofd/cwtlgv/xfwgbr
title: HMW_Carex_ovalis_Gooden._H_8783.jpg

description: :unav
DOI: 10.48370/ofd/cwtlgv
title: Turzyca zajęcza (Carex ovalis Gooden.), 8783

description: Herbarium
DOI: 10.48370/ofd/cbb5r7/uuoptt
title: HMW_Carex_ovalis_Gooden._H_8782.jpg

description: :unav
DOI: 10.48370/ofd/cbb5r7
title: Turzyca zajęcza (Carex ovalis Gooden.), 8782

description: Herbarium
DOI: 10.48370/ofd/bjbp8j/tbjwm8
title: HMW_Carex_ovalis_Gooden._H_2725.jpg

description: :unav
DOI: 10.48370/ofd/bjbp8j
title: Turzyca zajęcza (Carex ovalis Gooden.), 2725

description: Herbarium
DOI: 10.48370/ofd/hbriok/1cqnsv
title: HMW_Carex_ovalis_Gooden._H_4609.jpg

description: :unav
DOI: 10.48370/ofd/hbriok
title: Turzyca zajęcza (Carex ovalis Gooden.), 4609

description: Herbarium
DOI: 10.5281/zenodo.5105505
title: Haplotype genome data for InfoGenomeR

description: Reference genomes and haplotype directed-acyclic graphs (DAGs) used for InfoGenomeR.
DOI: 10.3886/e112520v1-91720
title: Replication data for: The Employment of Low-Skilled Immigrant Men in the United States

description: Using microdata from the 2000 Census, we analyze how the employment rates of foreign-born and US-born men vary with education. After a period of adjustment during the first few years upon arrival, the overall employment rate of immigrant men quickly approaches that of US natives. Among those with the lowest education levels, immigrants exhibit substantially higher rates of employment than comparable natives. This pattern is consistent with a simple theoretical model of migrant selectivity that jointly considers a potential migrant's decisions regarding where to locate and whether to work.
DOI: 10.48370/ofd/c4xom4/4x0xz8
title: HMW_Carex_ovalis_Gooden._H_2727.jpg

description: :unav
DOI: 10.48370/ofd/c4xom4
title: Turzyca zajęcza (Carex ovalis Gooden.), 2727

description: Herbarium
DOI: 10.21227/kzxe-zj93
title: Typical charge/discharge of a supercapacitor

description: The data set deals with a typicla charge-discharge cycle of a supercapacitor (here a NICHICON UM series, 2.7V, 1F):Very fast charge of the EDLCDischarge at more or less constant powerData have been sampled at 10 Hz with the biologic VMP3 potentiostat.
DOI: 10.48370/ofd/goq9yt/3jhssb
title: HMW_Carex_pairae_F._W._Schultz_H_2213.jpg

description: :unav
DOI: 10.48370/ofd/goq9yt
title: Turzyca najeżona (Carex pairae F. W. Schultz), 2213

description: Herbarium
DOI: 10.6084/m9.figshare.14981154.v1
title: T1 images (defaced)

description: We have T1 images for 36 participants. For the link between T1 codes and subject codes, please see the SubInfo.mat (DOI: 10.6084/m9.figshare.14980386 )For participants who do not have MRI (T1) images, nan is the code and a template T1 images will be used in the source modeling. <br>
DOI: 10.6084/m9.figshare.14981154
title: Headmodels

description: The HeadModel folder contains the headmodels after the coregistration of T1 images and the MEG data for 39 participants. For 3 participants who do not have T1 images, the MNI template brain (Montreal, Quebec, Canada) was used. The headmodel was obtained by using a fieldtrip function ft_prepare_headmodel.m with cfg.method = 'singleshell' (https://www.fieldtriptoolbox.org/reference/ft_prepare_headmodel/). <br>
DOI: 10.6084/m9.figshare.14981154.v3
title: Headmodels

description: The HeadModel folder contains the headmodels after the coregistration of T1 images and the MEG data for 39 participants. For 3 participants who do not have T1 images, the MNI template brain (Montreal, Quebec, Canada) was used. The headmodel was obtained by using a fieldtrip function ft_prepare_headmodel.m with cfg.method = 'singleshell' (https://www.fieldtriptoolbox.org/reference/ft_prepare_headmodel/). <br>
DOI: 10.6084/m9.figshare.14981154.v2
title: Headmodel

description: The HeadModel folder contains the headmodels after the coregistration of T1 images and the MEG data for 39 participants. For 3 participants who do not have T1 images, the MNI template brain (Montreal, Quebec, Canada) was used. The headmodel was obtained by using a fieldtrip function ft_prepare_headmodel.m with cfg.method = 'singleshell' (https://www.fieldtriptoolbox.org/reference/ft_prepare_headmodel/). <br>
DOI: 10.6084/m9.figshare.14980386
title: SubInfo.mat: The list of all file names for participants

description: The SubInfo.mat contains information about the file names for MEG data, eye movement data and Psychtoolbox dataIn total, we have 39 participants for both datasets. The field names for the first dataset is 'Targ60', for the second one is 'JEP60' (adapted from Degno et al. 2019, Journal of Experimental Psychology).The SubInfo.mat also contains the MRI codes. For participants who do not have MRI (T1) images, nan is the code and a template T1 images will be used in the source modeling. We have T1 images for 36 participants.<br>
DOI: 10.6084/m9.figshare.14980386.v3
title: SubInfo.mat: The list of all file names for participants

description: The SubInfo.mat contains information about the file names for MEG data, eye movement data and Psychtoolbox dataIn total, we have 39 participants for both datasets. The field names for the first dataset is 'Targ60', for the second one is 'JEP60' (adapted from Degno et al. 2019, Journal of Experimental Psychology).The SubInfo.mat also contains the MRI codes. For participants who do not have MRI (T1) images, nan is the code and a template T1 images will be used in the source modeling. We have T1 images for 36 participants.<br>
DOI: 10.15468/3pdant
title: Two new species of the Tenthredo grahami group from China (Hymenoptera: Tenthredinidae), with a revised key to species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Xiao, Wei, Niu, Gengyun, Wei, Meicai (2020): Two new species of the Tenthredo grahami group from China (Hymenoptera: Tenthredinidae), with a revised key to species. Zoological Systematics 45 (2): 118-125, DOI: 10.11865/zs.202016, URL: http://zoobank.org/30ef491f-21f8-4c42-b270-b7b3360c0a35
DOI: 10.6084/m9.figshare.14974887
title: Raw MEG data

description: The raw MEG data for all 39 participants (Neuromag 306 system).Each participant has three .fif files, it total there are 117 fif files.<br>For participant 20190518_b3f8 as an example: 20190518_b3f8.fif and 20190518_b3f8-1.fif are the files for the first sentence set (please note the sequence to concatenate them, first is *.fif, then is *-1.fif); 20190518_b3f8_JEP.fif is the file for the second sentence set (adapted from Degno et al. 2019, Journal of Experimental Psychology).<br>The triggers in each .fif files are as followings:1: onset of the baseline fixation2: onset of the start_rectangle before a sentence4: onset of a sentence8: offset of a sentence16: onset of the inter-trial-interval32: onset of a pure tagging task (not used in analysis)64: onset of a resting stage with eye-opened (not used in analysis)128: onset of a resting stage with eye-closed (not used in analysis)<br>The channel of photo-diode that represents the tagging signal is 'MISC004'.
DOI: 10.5281/zenodo.5105742
title: Experimental data for "DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score" paper

description: Experimental data for "DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score" paper
DOI: 10.5281/zenodo.5105741
title: Experimental data for "DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score" paper

description: Experimental data for "DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score" paper
DOI: 10.5281/zenodo.4924033
title: Replication package for: The Gift of Moving: Intergenerational Consequences of a Mobility Shock

description: The package contains replication material for Nakamura, E., J. Sigurdsson, J. Steinsson (2021): "The Gift of Moving: Intergenerational Consequences of a Mobility Shock," Review of Economic Studies.
DOI: 10.48370/ofd/0ks8n0/3ysgbm
title: HMW_Carex_lasiocarpa_Ehrh._H_8559.jpg

description: :unav
DOI: 10.48370/ofd/0ks8n0
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 8559

description: Herbarium
DOI: 10.48370/ofd/clywoz/yhd28n
title: HMW_Carex_lasiocarpa_Ehrh._H_6369.jpg

description: :unav
DOI: 10.48370/ofd/clywoz
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 6369

description: Herbarium
DOI: 10.48370/ofd/oajosg/bna6xu
title: HMW_Carex_lasiocarpa_Ehrh._H_6024.jpg

description: :unav
DOI: 10.48370/ofd/oajosg
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 6024

description: Herbarium
DOI: 10.48370/ofd/38dtr7/ysojcs
title: HMW_Carex_lasiocarpa_Ehrh._H_5485.jpg

description: :unav
DOI: 10.48370/ofd/38dtr7
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 5485

description: Herbarium
DOI: 10.48370/ofd/tvppe9/q45brs
title: HMW_Carex_lasiocarpa_Ehrh._H_4967.jpg

description: :unav
DOI: 10.48370/ofd/tvppe9
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 4967

description: Herbarium
DOI: 10.48370/ofd/78futx/bk7igc
title: HMW_Carex_lasiocarpa_Ehrh._H_8409.jpg

description: :unav
DOI: 10.48370/ofd/78futx
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 8409

description: Herbarium
DOI: 10.48370/ofd/w29vwm/9yrfmp
title: HMW_Carex_lasiocarpa_Ehrh._H_8108.jpg

description: :unav
DOI: 10.48370/ofd/w29vwm
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 8108

description: Herbarium
DOI: 10.5281/zenodo.5105871
title: Retrieving 2D laterally varying structures from multi-station surface wave dispersion curves using multiscale window analysis

description: Here are the waveform data used in the Geophysical Journal International paper entitled "Retrieving 2D laterally varying structures from multi-station surface wave dispersion curves using multiscale window analysis". The dataset is used for the reader who wants to reproduce the result in the paper.
DOI: 10.5281/zenodo.5105870
title: Retrieving 2D laterally varying structures from multi-station surface wave dispersion curves using multiscale window analysis

description: Here are the waveform data used in the Geophysical Journal International paper entitled "Retrieving 2D laterally varying structures from multi-station surface wave dispersion curves using multiscale window analysis". The dataset is used for the reader who wants to reproduce the result in the paper.
DOI: 10.48370/ofd/epnvsx/lcda00
title: HMW_Carex_lasiocarpa_Ehrh._H_6110.jpg

description: :unav
DOI: 10.48370/ofd/epnvsx
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 6110

description: Herbarium
DOI: 10.48370/ofd/km8qb5/rbkbqo
title: HMW_Carex_lasiocarpa_Ehrh._H_5963.jpg

description: :unav
DOI: 10.48370/ofd/km8qb5
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 5963

description: Herbarium
DOI: 10.15468/zhuxc2
title: Chaetarthria chenjuni Jia & Yang, sp. nov. (Coleoptera: Hydrophilidae), a new species from China and additional faunistic records

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jia, Fenglong, Yang, Zhenming, Jiang, Lu, Chen, Kai, Jiang, Shujiao (2020): Chaetarthria chenjuni Jia & Yang, sp. nov. (Coleoptera: Hydrophilidae), a new species from China and additional faunistic records. Zoological Systematics 45 (2): 146-149, DOI: 10.11865/zs.202019, URL: http://zoobank.org/485dba90-162e-414a-b975-79cf0cfa5ce1
DOI: 10.48370/ofd/jfofku/obtisn
title: HMW_Carex_lasiocarpa_Ehrh._H_5942.jpg

description: :unav
DOI: 10.48370/ofd/jfofku
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 5942

description: Herbarium
DOI: 10.48370/ofd/admbqx/uu2eme
title: HMW_Carex_lasiocarpa_Ehrh._H_5932.jpg

description: :unav
DOI: 10.48370/ofd/admbqx
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 5932

description: Herbarium
DOI: 10.48370/ofd/mzligv/zjbaqn
title: HMW_Carex_lasiocarpa_Ehrh._H_5917.jpg

description: :unav
DOI: 10.48370/ofd/mzligv
title: Turzyca nitkowata (Carex lasiocarpa Ehrh.), 5917

description: Herbarium
DOI: 10.6084/m9.figshare.14980071
title: Psychtoolbox data

description: This folder contains psychtoolbox data for all 39 participants. Each participant has two .mat files for two sentence sets in the study. For instance, the participant named '20190608_b3f8' has '2019_5_18_Exp_Reading_b3f8.mat' for the first sentence set, and '2019_5_18_Exp_Reading_JEP_b3f8.mat' for the second sentence set (adapted from Degno et al. 2019, Journal of Experimental Psychology). Each .mat file contains three structure data as followings: 'cfg' structure is the configuration of experiment presentation (for details, please see the presentation scripts in the repository of psychtoolbox codes DOI: 10.6084/m9.figshare.14980149). 'Para' structure contains all parameters for the study. The field SentMat is the sentences matrix that is shown to the participant. The field CondMat is the condition matrix, the first column is the position of the target word (also the flickering word) in a given sentence; the second column is the condition index for a given sentence, 1--low frequency target, 2--high frequency target. The field FixDuration is the duration of cross-fixation in the baseline period, unit in second. 'Result' structure is the outputs from psychtoolbox. The fields FixationON, StartBoxON, SentenceON, and ITION are the time points when triggers 1, 2, 4, and 16 are sent to both the MEG and EyeLink system. Those triggers can be used to align the clocks in the experiment presentation computer, MEG data acquisition computer, and the EyeLink computer. The fields RT and CORR are the reaction time (unit in second) and accuracy of the responses to the comprehension question (please note that only One-quarter of the sentences were followed by a question). The field WordLocation contains the coordinates for all the words that are presented on the screen -- [x_start, y_start, x_end, y_end], unit in pixel. Please note that we used the rapid mode of PROPixx projector, where the coordinates here are just half of the coordinates on the participant's screen (also the Eyelink coordinate). Thus, <b>please multiply these coordinates by 2 when you locate eye movement samples to a given word.</b>
DOI: 10.6084/m9.figshare.14980071.v3
title: Psychtoolbox data

description: This folder contains psychtoolbox data for all 39 participants. Each participant has two .mat files for two sentence sets in the study. For instance, the participant named '20190608_b3f8' has '2019_5_18_Exp_Reading_b3f8.mat' for the first sentence set, and '2019_5_18_Exp_Reading_JEP_b3f8.mat' for the second sentence set (adapted from Degno et al. 2019, Journal of Experimental Psychology). Each .mat file contains three structure data as followings: 'cfg' structure is the configuration of experiment presentation (for details, please see the presentation scripts in the repository of psychtoolbox codes DOI: 10.6084/m9.figshare.14980149). 'Para' structure contains all parameters for the study. The field SentMat is the sentences matrix that is shown to the participant. The field CondMat is the condition matrix, the first column is the position of the target word (also the flickering word) in a given sentence; the second column is the condition index for a given sentence, 1--low frequency target, 2--high frequency target. The field FixDuration is the duration of cross-fixation in the baseline period, unit in second. 'Result' structure is the outputs from psychtoolbox. The fields FixationON, StartBoxON, SentenceON, and ITION are the time points when triggers 1, 2, 4, and 16 are sent to both the MEG and EyeLink system. Those triggers can be used to align the clocks in the experiment presentation computer, MEG data acquisition computer, and the EyeLink computer. The fields RT and CORR are the reaction time (unit in second) and accuracy of the responses to the comprehension question (please note that only One-quarter of the sentences were followed by a question). The field WordLocation contains the coordinates for all the words that are presented on the screen -- [x_start, y_start, x_end, y_end], unit in pixel. Please note that we used the rapid mode of PROPixx projector, where the coordinates here are just half of the coordinates on the participant's screen (also the Eyelink coordinate). Thus, <b>please multiply these coordinates by 2 when you locate eye movement samples to a given word.</b>
DOI: 10.6084/m9.figshare.14980071.v2
title: Psychotoolbox data

description: This folder contains psychtoolbox data for all 39 participants. Each participant has two .mat files for two sentence sets in the study. For instance, the participant named '20190608_b3f8' has '2019_5_18_Exp_Reading_b3f8.mat' for the first sentence set, and '2019_5_18_Exp_Reading_JEP_b3f8.mat' for the second sentence set (adapted from Degno et al. 2019, Journal of Experimental Psychology). Each .mat file contains three structure data as followings: 'cfg' structure is the configuration of experiment presentation (for details, please see the presentation scripts in the repository of psychtoolbox codes DOI: 10.6084/m9.figshare.14980149). 'Para' structure contains all parameters for the study. The field SentMat is the sentences matrix that is shown to the participant. The field CondMat is the condition matrix, the first column is the position of the target word (also the flickering word) in a given sentence; the second column is the condition index for a given sentence, 1--low frequency target, 2--high frequency target. The field FixDuration is the duration of cross-fixation in the baseline period, unit in second. 'Result' structure is the outputs from psychtoolbox. The fields FixationON, StartBoxON, SentenceON, and ITION are the time points when triggers 1, 2, 4, and 16 are sent to both the MEG and EyeLink system. Those triggers can be used to align the clocks in the experiment presentation computer, MEG data acquisition computer, and the EyeLink computer. The fields RT and CORR are the reaction time (unit in second) and accuracy of the responses to the comprehension question (please note that only One-quarter of the sentences were followed by a question). The field WordLocation contains the coordinates for all the words that are presented on the screen -- [x_start, y_start, x_end, y_end], unit in pixel. Please note that we used the rapid mode of PROPixx projector, where the coordinates here are just half of the coordinates on the participant's screen (also the Eyelink coordinate). Thus, <b>please multiply these coordinates by 2 when you locate eye movement samples to a given word.</b>
DOI: 10.6084/m9.figshare.14903142.v1
title: Two dataset

description: The dataset shows the anxiety performed by a group of 166 normal women from and the studied also shows the lifetime (in days) of 30 electronic devices from Smithson and Verkuilen dataset and Rahman et al. dataset
DOI: 10.6084/m9.figshare.14903142
title: Two dataset

description: The authors of this work sought and obtained consent to use the dataset from the respective authors. The dataset from Smithson and Verkuilen was originally published on Smithson's website and saved under Example2.text, which contains anxiety and stress, which we will use in this work. While Rahman et al's dataset is available in their publication. The dataset has now been published in an open repository with the authors' permission<br>The dataset shows the anxiety performed by a group of 166 normal women from and the studied also shows the lifetime (in days) of 30 electronic devices from Smithson and Verkuilen dataset and Rahman et al. dataset
DOI: 10.6084/m9.figshare.14903142.v2
title: Two dataset

description: The authors of this work sought and obtained consent to use the dataset from the respective authors. The dataset from Smithson and Verkuilen was originally published on Smithson's website and saved under Example2.text, which contains anxiety and stress, which we will use in this work. While Rahman et al's dataset is available in their publication. The dataset has now been published in an open repository with the authors' permission<br>The dataset shows the anxiety performed by a group of 166 normal women from and the studied also shows the lifetime (in days) of 30 electronic devices from Smithson and Verkuilen dataset and Rahman et al. dataset
DOI: 10.5281/zenodo.4412132
title: Replication Package for the Paper: "Will Data Influence the Experiment Results?: A Replication Study of Automatic Identification of Decisions"

description: This is the replication package for the paper: "Will Data Influence the Experiment Results?: A Replication Study of Automatic Identification of Decisions". It contains the source code and dataset of our experiment for the replication by other researchers. In the meanwhile, we provide brief description of the files in the replication package below. <strong>1. main_code folder</strong> <em>automatic_approach.py </em>contains the main source code of the automatic approach for identifying decisions in our experiment, which is conducted on MacOs and Python 3.7.9. <strong>Note that you may get slightly</strong> <strong>different experiment results when conducting the experiments on different environment configurations.</strong> <em>requirement.txt</em> records all the installation packages and their version numbers needed for the current program to run. You can use "<em>pip install -r requirement.txt</em>" to rebuild the project and install all dependencies. <strong>Note that you may get slightly different experiment results when using different packages or versions. </strong> <strong>2. dataset folder</strong> <em>EASE2020 - 650 decisions.xlsx </em>contains 650 decision sentences from our previous work (EASE2020) <em>EASE2020 - 650 non-decisions.xlsx </em>contains 650 non-decision sentences from our previous work (EASE2020) <em>Our 844 relabeled decisions.xlsx</em> contains 844 relabeled decisions in this work. <em>Our 750 assumptions.xlsx</em> contains 750 assumptions from our previous work (APSEC2019) <strong>3. RQ1 folder</strong> <em>experiment_RQ1.py</em> contains the main source code of the experiment for answering RQ1, which is conducted on the same environment configuration as the <em>automatic_approach.py.</em> <strong>4. RQ2 folder</strong> <em>experiment_RQ2.py</em> contains the main source code of the experiment for answering RQ2, which is conducted on the same environment configuration as the <em>automatic_approach.py.</em> <strong>5. RQ3 folder</strong> <em>experiment_RQ3.py</em> contains the main source code of the experiment for answering RQ3, which is conducted on the same environment configuration as the <em>automatic_approach.py.</em>