cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23715402.v1
title: The Relationship Between Kiritsu-Meijin-Derived Autonomic Function Parameters and Visual-Field Defects in Eyes with Open-Angle Glaucoma

description: This retrospective cross-sectional study aimed to investigate the association between autonomic parameters measured using the Kiritsu-Meijin device and visual-field defects in patients with open-angle glaucoma. A total of 79 eyes of 42 patients with open-angle glaucoma were enrolled in this study. Kiritsu-Meijin testing comprised three phases: sitting, standing, and sitting again (2 min, 2 min, and 1 min, respectively). Continuous electrocardiograms were recorded for five minutes. Autonomic parameters were extracted from the resulting data and analyzed, including activity, balance, reaction, switchover, and recovery; these are five representative parameters derived from Kiritsu-Meijin testing. Correlations between these parameters and mean deviation from Humphrey visual field testing were determined. Additionally, we used a linear mixed-effects model to observe sectoral differences in the relationship between total deviation and the Kiritsu-Meijin parameters. In this study, we focused on superior, central, and inferior total deviations. Significant positive correlations were observed between activity, balance, and recovery and mean deviation values (<i>β</i> = 0.29–0.38, <i>p</i> &lt; .05). The <i>β</i> value between activity and inferior total deviation was higher than that between activity and superior total deviation (<i>β</i> = 0.22, <i>p</i> &lt; .05). Balance did not show any sectoral differences (<i>p</i> &gt; .05). Recovery was more strongly associated with central to inferior total deviation than superior total deviation (<i>β</i> = 0.17–0.25, <i>p</i> &lt; .05). Our findings suggest that in patients with open-angle glaucoma, lower activity and recovery are associated with more severe central and/or inferior visual field defects in the superior quadrant. These results imply that measurements of autonomic function made with the Kiritsu-Meijin device may have clinical utility in the management of glaucoma.
DOI: 10.7488/ds/7528
title: Network-DC Alpha Stage Open-Source DC Circuit Breaker Models created by The University of Edinburgh

description: These open-source models of DC Circuit Breakers implemented in Matlab/Simulink may be used in system studies for HVDC network protection studies. A PDF accompanies the models describing their implementation
DOI: 10.18743/data.00000231
title: [EFF15S1] Session 1: Why the Essay Film Now?

description: 24 March 2015, 13:00, Birkbeck Cinema For the first Essay Film Festival’s opening event, we invited four leading scholars and critics who have made important contributions to the current debate about the vibrancy of the essay film tradition in contemporary film and moving image culture. The speakers each addressed the question “Why the essay film now?” from their respective angles. The panel was then followed by general discussion with questions from the floor. Panel: • Christa Blümlinger (University Paris 8 Vincennes Saint-Denis, author of Cinéma de seconde main: esthétique du remploi dans l’art du film et des nouveaux medias, Klincksieck: 2013) • Catherine Grant (University of Sussex, founder of Film Studies for Free, and editor of REFRAME) • Laura Rascaroli (University of Cork, author of The Personal Camera: Subjective Cinema and the Essay Film, Wallflower: 2009) • Igor Krstic (postdoctoral researcher on accented essay films, University of Reading, and convenor of “World Cinema and the Essay Film” conference at University of Reading, 30 April–2 May 2015)
description: The Essay Film Festival ran between 2015 and 2023, and presented a global range of contemporary and restored essayistic works. The events are now archived here for research purposes.
DOI: 10.5281/zenodo.5108834
title: BC GNN Datasets

description: Graph data sets for black carbon associated with the paper "Zero-Shot Learning of Aerosol Optical Properties with Graph Neural Networks".
DOI: 10.5281/zenodo.5108833
title: BC GNN Datasets

description: Graph data sets for black carbon associated with the paper "Zero-Shot Learning of Aerosol Optical Properties with Graph Neural Networks".
DOI: 10.25345/c5st7f722
title: MassIVE MSV000093161 - 231002_Samples_Shane_10mg_Bender
title: 231002_Samples Shane, 10 mg/mL, Q Exactive HF ("Bender")
DOI: 10.5281/zenodo.8307981
title: Structure of human TRPM8 channel

description: This repository includes the following source datasets:


1. modeling.zip
Modeling of icilin binding to HsTRPM8 (Figure 3e, 3f, 3g, 3h)
 - HsTRPM8-KX7_opt.pdb: original pose (Figure 3e, 3f)
 - HsTRPM8-KX7_opt_rotated.pdb: rotates pose (Figure 3g, 3h)


2. activation_assay.zip
HsTRPM8 activation assay results (Figure 3i and Supplementary Figure 5)
 - HsTRPM8_activation_assay_results.pzf: GraphPad file with activation Assay results


3. Fr-TM.zip
Structure-based multiple sequence alignment of TRPM channels (Supplementary Figure 4a)
 - Fr-TM_info.txt: description of procedure used to create alignment
 - TRPM_new_raw_pairwise_alignments.fas: raw pairwise alignment of new TRPM sequences to 6CO7 reference
 - TRPM_S6_restriction_site_aligned.fas: final multiple sequence alignment used to generate Supplementary Figure 4a


4. 3Dvar.zip
HsTRPM8 3D Variability Analysis results (Supplementary Movie 1)
 - *.mrc files: composite maps with extreme frames for two analyzed components (aligned with focused MHR1/2 map)
 - *.pdb files: HsTRPM8 models fitted (MDFF) to above maps and used to generate Supplementary Movie 1


5. Supplementary_Movie_1.mp4
Morphing between different conformations of HsTRPM8 resolved by 3D Variability analysis (Supplementary Movie 1).
DOI: 10.5281/zenodo.8307982
title: Structure of human TRPM8 channel

description: This repository includes the following source datasets:


1. modeling.zip
Modeling of icilin binding to HsTRPM8 (Figure 3e, 3f, 3g, 3h)
 - HsTRPM8-KX7_opt.pdb: original pose (Figure 3e, 3f)
 - HsTRPM8-KX7_opt_rotated.pdb: rotates pose (Figure 3g, 3h)


2. activation_assay.zip
HsTRPM8 activation assay results (Figure 3i and Supplementary Figure 5)
 - HsTRPM8_activation_assay_results.pzf: GraphPad file with activation Assay results


3. Fr-TM.zip
Structure-based multiple sequence alignment of TRPM channels (Supplementary Figure 4a)
 - Fr-TM_info.txt: description of procedure used to create alignment
 - TRPM_new_raw_pairwise_alignments.fas: raw pairwise alignment of new TRPM sequences to 6CO7 reference
 - TRPM_S6_restriction_site_aligned.fas: final multiple sequence alignment used to generate Supplementary Figure 4a


4. 3Dvar.zip
HsTRPM8 3D Variability Analysis results (Supplementary Movie 1)
 - *.mrc files: composite maps with extreme frames for two analyzed components (aligned with focused MHR1/2 map)
 - *.pdb files: HsTRPM8 models fitted (MDFF) to above maps and used to generate Supplementary Movie 1


5. Supplementary_Movie_1.mp4
Morphing between different conformations of HsTRPM8 resolved by 3D Variability analysis (Supplementary Movie 1).
DOI: 10.6084/m9.figshare.16912366.v13
title: antspymm helper data

description: multi-channel and time series example data for antsx processing ... with priors
DOI: 10.6084/m9.figshare.24412294
title: 20231021_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24412294.v1
title: 20231021_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.34740/kaggle/dsv/6749871
title: MoviesDatasets
DOI: 10.25934/pr00008833
title: Optimal estimation of the number of subjects in clinical trials to improve the quality of clinical research and the development of new treatments for cancer patients

description: The majority of randomized controlled trials assessing the risk of death assume that the study populations receiving a drug are similar, and that the drug acts in the same way on everyone. However, this assumption may not be valid in all circumstances. Although it has been described in the literature since the 1970s, the differences encountered in multicentre trial have recently received renewed interest due to concerns about the reliability of reported trial results. We defined in this context the differences as a set of characteristics shared by patients that may influence their risk of death and response to drug. Patients may be statistically related because of their lifestyle or because they are managed in the same care center.

We have recently proposed a method for calculating the number of patients to include in a clinical trial that accounts for all these differences. We have shown in our work that these dependencies (correlations) between patients are difficult to measure (quantifiable), thus leading to the underestimation of the number of patients needed, and thus to a failure of the trials, defined here by the inability to demonstrate the effectiveness of the new drug, when it is really effective. A strength of our approach, that is also one of its weaknesses, is to provide plausible values for potential differences between centers in the design of the trial.

By analyzing multiple trials, we could get a trend regarding the underlying differences in study drug effect and/or risk of death within trials which clearly influence the number of patients that need to be included. However, no work has been done to quantify this. Providing an indication of the size of these differences would allow more accurate estimation of drug effect, and avoid missing potentially effective drugs for patients.
DOI: 10.34740/kaggle/dsv/6749880
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5523/bris.3qs252vyomger219n9f5fcv5u3
title: Ethical challenges in global health research on violence against women: a qualitative study of policy and professional perspectives
title: HERA ethics study

description: Studying global health problems requires international multidisciplinary teams. Such multidisciplinarity and multiculturalism create challenges in adhering to a set of ethical principles across different country contexts. Our group on health system responses to violence against women (VAW) included two universities in a European high-income country (HIC) and four universities in low-and middle-income countries (LMICs). This qualitative study aimed to investigate professional and policy perspectives on the types, causes of, and solutions to ethical challenges specific to the ethics approval stage of the global research projects on VAW and health. This dataset contains interview and documentary data.
DOI: 10.5281/zenodo.10004794
title: Supporting dataset for "Evoked EEG responses to TMS targeting regions outside the primary motor cortex and their test-retest reliability"

description: This repository contains a dataset supporting results in the manuscript: Evoked EEG responses to TMS targeting regions outside the primary motor cortex and their test-retest reliability. Song, Y., Gordon, P. C., Metsomaa, J., Rostami, M., Belardinelli, P., & Ziemann, U. in submission, 2023.
Summary:
We aimed to investigate TEPs and their test-retest reliability when targeting regions outside M1, specifically the left angular gyrus (AG), supplementary motor area (SMA), and medial prefrontal cortex (mPFC), using an optimized sham procedure. We conducted three identical TMS–EEG sessions one week apart involving 24 healthy participants. In each session, we targeted the three areas separately using a figure−of−eight TMS coil for active TMS, while a second coil away from the head produced auditory input for sham TMS. Masking noise and electric scalp stimulation were applied in both conditions to achieve matched EEG responses to peripheral sensory inputs. 
TMS-EEG recording:
For each TMS-EEG session, we divided into three TMS-EEG blocks that correspond to three cortical targets: AG, SMA, and mPFC. EEG signals were recorded with a TMS-compatible system (NeurOne, Bittium). Electrodes were placed according to the International 10-5 system in an elastic cap (EasyCap BC-TMS-64, EasyCap). EEG was sampled at 5 kHz (device filter DC-1250Hz), and electrode CPz served as the reference online. We recorded 150 pulses for the active conditions per cortical target and 150 for sham conditions.
Visual analog scale (VAS):
Participants rated their perception of auditory and somatosensory inputs from the active and sham conditions, ranging from 0 to 10. 0 represented no perception, and 10 described maximal perception. The VAS included items assessing the intensity of auditory sensation, the intensity of scalp sensation, the area size of scalp sensation, and the intensity of pain or discomfort. Each item rating was replicated twice.
Dataset: 
The present dataset consists of: 

24 data files from 24 healthy participants, each includes preprocessed eeg signals stored in fieldtrip data structure per cortical target per session [Note: each dataset is merged with active ('1') and sham ('2') events]. Leadfield matrix per session. Head model.
An example tms-eeg dataset before preprocessing from a participant (in eeglab data structure). The preprocessing steps are described in the method section of the manuscript and in the code: tms_eeg_Cleaningpipeline.m (available in GitHub).
A generic head model
VAS scores
Session information
Data analysis:
The code used to preprocess the TMS-EEG signal and produce results in the manuscript is available in GitHub: https://github.com/Song-Yufei/tms-eeg-using-optimized-sham-outside-M1
DOI: 10.5281/zenodo.10004793
title: Supporting dataset for "Evoked EEG responses to TMS targeting regions outside the primary motor cortex and their test-retest reliability"

description: This repository contains a dataset supporting results in the manuscript: Evoked EEG responses to TMS targeting regions outside the primary motor cortex and their test-retest reliability. Song, Y., Gordon, P. C., Metsomaa, J., Rostami, M., Belardinelli, P., & Ziemann, U. in submission, 2023.
Summary:
We aimed to investigate TEPs and their test-retest reliability when targeting regions outside M1, specifically the left angular gyrus (AG), supplementary motor area (SMA), and medial prefrontal cortex (mPFC), using an optimized sham procedure. We conducted three identical TMS–EEG sessions one week apart involving 24 healthy participants. In each session, we targeted the three areas separately using a figure−of−eight TMS coil for active TMS, while a second coil away from the head produced auditory input for sham TMS. Masking noise and electric scalp stimulation were applied in both conditions to achieve matched EEG responses to peripheral sensory inputs. 
TMS-EEG recording:
For each TMS-EEG session, we divided into three TMS-EEG blocks that correspond to three cortical targets: AG, SMA, and mPFC. EEG signals were recorded with a TMS-compatible system (NeurOne, Bittium). Electrodes were placed according to the International 10-5 system in an elastic cap (EasyCap BC-TMS-64, EasyCap). EEG was sampled at 5 kHz (device filter DC-1250Hz), and electrode CPz served as the reference online. We recorded 150 pulses for the active conditions per cortical target and 150 for sham conditions.
Visual analog scale (VAS):
Participants rated their perception of auditory and somatosensory inputs from the active and sham conditions, ranging from 0 to 10. 0 represented no perception, and 10 described maximal perception. The VAS included items assessing the intensity of auditory sensation, the intensity of scalp sensation, the area size of scalp sensation, and the intensity of pain or discomfort. Each item rating was replicated twice.
Dataset: 
The present dataset consists of: 

24 data files from 24 healthy participants, each includes preprocessed eeg signals stored in fieldtrip data structure per cortical target per session [Note: each dataset is merged with active ('1') and sham ('2') events]. Leadfield matrix per session. Head model.
An example tms-eeg dataset before preprocessing from a participant (in eeglab data structure). The preprocessing steps are described in the method section of the manuscript and in the code: tms_eeg_Cleaningpipeline.m (available in GitHub).
A generic head model
VAS scores
Session information
Data analysis:
The code used to preprocess the TMS-EEG signal and produce results in the manuscript is available in GitHub: https://github.com/Song-Yufei/tms-eeg-using-optimized-sham-outside-M1
DOI: 10.18743/data.00000233
title: [EFF15S3] Session 3: Remembrance: A Small Film about Oulu in the 1950s

description: 24 March 2015, 20:30, ICA Cinema Film: Remembrance: A Small Film about Oulu in the 1950s [Muisteja: Pieni elokuva 1950-luvun Oulusta], Peter von Bagh, Finland, 2014, DCP, 86 minutes, Finnish with English subtitles Introduced by Bernard Eisenschitz, film historian An exercise in autobiography, Remembrance – A Small Film about Oulu in the 1950s brings together an extraordinary array of archival materials, images, music and other elements to reconstruct the filmmaker’s memories of growing up in Oulu, one of Finland’s largest cities and industrial cities. The film is a very tender and yet critical view of post-war Finland and its present. “Remembrance – A Small Film about Oulu in the 1950s is not only a bitter-sweet personal remembrance of things past but at the same time a meditation on the making of a generation and on the plight and follies of postwar Finland.” (Olaf Möller) Supported by Goethe-Institut London and the Finnish Institute in London.
description: The Essay Film Festival ran between 2015 and 2023, and presented a global range of contemporary and restored essayistic works. The events are now archived here for research purposes.
DOI: 10.5281/zenodo.10027236
title: Flood Depth-Damage Functions from HAZUS and 2015 North Atlantic Coast Comprehensive Study

description: HAZUS flood depth-damage functions (DDFs) are commonly used outside of the HAZUS software. As far as I can tell, there is no persistent and archived repository that stores these DDFs. To fill this gap, I reached out to the HAZUS help desk and asked permission to upload the library of HAZUS DDFs to Zenodo. In addition to HAZUS DDFs, I also include a .csv file I created that uses the same format as the HAZUS DDF library to represent the DDFs from the 2015 North Atlantic Coast Comprehensive Study Physical Depth Damage Function Summary Report. 
There are 4 files uploaded to this repository. Below, I indicate the filenames, a brief description, and the source for the data. 

Source/procedure: https://github.com/cran/hazus/tree/master/data. Potentially longer term archiving available from https://rdrr.io/cran/hazus/. I downloaded haz_fl_occ.rda and haz_fl_dept.rda, opened them in R, and wrote out the corresponding files as csvs. 

haz_fl_dept.csv: This is a file with all DDFs in HAZUS (I believe this is version 5.1). You may be able to learn more about the metadata here: https://rdrr.io/cran/hazus/man/haz_fl_dept.html. The dataset includes occupancy codes (corresponds to one of our other files - haz_fl_occ) and other information that we need to estimate flood damages. The columns are feet relative to first-floor elevation of a structure. 
haz_fl_occ.csv: This is a file with all the occupancy codes for DDFs in HAZUS. You may be able to learn more about the metadata here: https://rdrr.io/cran/hazus/man/haz_fl_occ.html
Source/procedure: https://www.fema.gov/sites/default/files/documents/fema_hazus-flood-model-technical-manual-5-1.pdf This link will almost certainly not work at some point in the future, but could probably be requested from FEMA by asking for the Hazus 5.1 Flood Model Technical Manual. Also, I have a pdf locally that I can send, but I am not sure if copyright protections prevent me from posting this myself online. I copy/pasted Table 5-2: Default Damage Functions for Estimation of Structure Damage in Riverine Flood Zones as a csv. 

riverine_ids.csv: This is a file which indicates the damage function id -- and the source of the damage function (i.e. USACE, FIA, BCAR Jan 2011 report) for "default" damage functions in riverine flood zones. It is useful to have the ability to know what the "default" or "state of the art" damage function approach is for evaluating alternative approaches. 
Source/procedure: https://www.nad.usace.army.mil/Portals/40/docs/NACCS/10A_PhysicalDepthDmgFxSummary_26Jan2015.pdf. This is the 2015 NACCS report. I manually coded all the DDFs (not velocity or erosion; just inundation) into a .csv file with the same format as haz_fl_dept.csv.

naccs_ddfs.csv: This is a file with the DDFs from the 2015 NACCS report.
DOI: 10.5281/zenodo.10027235
title: Flood Depth-Damage Functions from HAZUS and 2015 North Atlantic Coast Comprehensive Study

description: HAZUS flood depth-damage functions (DDFs) are commonly used outside of the HAZUS software. As far as I can tell, there is no persistent and archived repository that stores these DDFs. To fill this gap, I reached out to the HAZUS help desk and asked permission to upload the library of HAZUS DDFs to Zenodo. In addition to HAZUS DDFs, I also include a .csv file I created that uses the same format as the HAZUS DDF library to represent the DDFs from the 2015 North Atlantic Coast Comprehensive Study Physical Depth Damage Function Summary Report. 
There are 4 files uploaded to this repository. Below, I indicate the filenames, a brief description, and the source for the data. 

Source/procedure: https://github.com/cran/hazus/tree/master/data. Potentially longer term archiving available from https://rdrr.io/cran/hazus/. I downloaded haz_fl_occ.rda and haz_fl_dept.rda, opened them in R, and wrote out the corresponding files as csvs. 

haz_fl_dept.csv: This is a file with all DDFs in HAZUS (I believe this is version 5.1). You may be able to learn more about the metadata here: https://rdrr.io/cran/hazus/man/haz_fl_dept.html. The dataset includes occupancy codes (corresponds to one of our other files - haz_fl_occ) and other information that we need to estimate flood damages. The columns are feet relative to first-floor elevation of a structure. 
haz_fl_occ.csv: This is a file with all the occupancy codes for DDFs in HAZUS. You may be able to learn more about the metadata here: https://rdrr.io/cran/hazus/man/haz_fl_occ.html
Source/procedure: https://www.fema.gov/sites/default/files/documents/fema_hazus-flood-model-technical-manual-5-1.pdf This link will almost certainly not work at some point in the future, but could probably be requested from FEMA by asking for the Hazus 5.1 Flood Model Technical Manual. Also, I have a pdf locally that I can send, but I am not sure if copyright protections prevent me from posting this myself online. I copy/pasted Table 5-2: Default Damage Functions for Estimation of Structure Damage in Riverine Flood Zones as a csv. 

riverine_ids.csv: This is a file which indicates the damage function id -- and the source of the damage function (i.e. USACE, FIA, BCAR Jan 2011 report) for "default" damage functions in riverine flood zones. It is useful to have the ability to know what the "default" or "state of the art" damage function approach is for evaluating alternative approaches. 
Source/procedure: https://www.nad.usace.army.mil/Portals/40/docs/NACCS/10A_PhysicalDepthDmgFxSummary_26Jan2015.pdf. This is the 2015 NACCS report. I manually coded all the DDFs (not velocity or erosion; just inundation) into a .csv file with the same format as haz_fl_dept.csv.

naccs_ddfs.csv: This is a file with the DDFs from the 2015 NACCS report.
DOI: 10.6084/m9.figshare.24411847
title: Raw data for manuscript entitled "Complementary effects of genetic and epigenetic variation on phenotypic variation of <i>Phragmites australis</i> populations in estuaries along latitude"

description: In this study, <i>Phragmites australis</i> populations were selected from four estuaries along latitude gradients. Genetic, epigenetic, and phenotypic variations of these populations were analyzed.