cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/myjky5f6f5
title: NSRL experimental neutron yields from GCR-like ions incident on dual thick targets

description: This repository contains all experimental neutron results from the dual-thick-target experiments conducted at NSRL in 2016 and 2017. These text files are from the final official data repository for this experiment.

The experiment is described here: https://trace.tennessee.edu/utk_nuclpubs/7/

The full analysis procedures for characterizing the neutrons are comprehensively discussed in the dissertation by Hunter N. Ratliff linked below.
https://trace.tennessee.edu/utk_graddiss/5323/

Two additional papers in preparation (and hopefully published as of your reading this) provide a higher-level overview of the analyses and are entitled:

1) "Double-differential primary target neutron yields from dual-thick-target proton and heavy ion accelerator experiments"
2) "Development of scalable deconvolution methods for determining secondary target neutron yields from dual-thick-target cosmic-ray ion accelerator experiments"

and are authored by:
H.N. Ratliff, N.A. McGirl, M.R. Beach, L.A. Castellanos, M.S. Clowdsley, L.H. Heilbronn, C. La Tessa, J.W. Norbury, A. Rusek, M. Sivertz, A.P. Srikrishna, H. Wang, and C. Zeitlin


Data for neutrons from the primary target characterized with time-of-flight techniques are in the folder called "primary-target-neutrons" while the data for neutrons from the secondary target characterized with a detector response-based deconvolution methodology are in the "secondary-target-neutrons" folder.

The "supplemental_information" folder contains a visual aid showing the design of the experiment, a table stating the stopping location of each beam, and a table containing the experimental schedule for when each beam+target combination was tested.


In the data folder, each filename is composed of 7 components separated by underscores:
1) experiment date (see experiment_schedule_table.pdf)
2) beam (species and energy divided by 100)
3) primary target (material and mass thickness)
4) detector type (all OLS in this repository)
5) detector angle
6) particle type (N=primary target neutron, NDC=secondary target neutron)
7) repository internal version number

The header in the top portion of each file fully details all of this information too.

For the secondary target results, the "Additional Notes:" line was not properly updated and incorrectly indicates that the results are preliminary.  This is false. The results included in this repository are final.  The statement about the midpoints being arbitrarily assigned and being log-spaced midpoints is correct though.
The Google Drive document mentioned was an internal document which is not made available as its explanations are superseded by official publications explaining the analyses and data.
DOI: 10.17632/nx3ggv7pxf
title: Tree Image Dataset for Biophysical Parameter Estimation using Stereoscopic Vision

description: This dataset contains 251 stereoscopic image pairs of full trees obtained from a replanted section of the Kieni Forest in Kiambu County, Kenya and 90 stereoscopic image pairs of tree trunks obtained from recreation parks at the Dedan Kimathi University of Technology, Nyeri, Kenya. In addition, two sets of 30 and 29 calibration image pairs have also been provided for the benefit of those who prefer to perform camera calibration on their own. This dataset can be used to study the use of stereo vision for extracting tree biophysical parameters of trees.
The dataset is uploaded as a single Zip file, which upon extracting unfolds into five folders and three CSV files. All filenames for images of full trees and trunks follow the convention [CAPTURE_TYPE][SEQUENCE_ID]_[IMAGE_ID]-[STEREO_ID]. CAPTURE_TYPE can be FT or T representing 'full tree' and 'trunk' respectively. SEQUENCE_ID refers to the position of the image in the capturing sequence. IMAGE_ID contains the time stamp for the time the image was captured. STEREO_ID can be LEFT or RIGHT depending on whether it is the left or right image.

Below is a description of the folders and files in the dataset:
1. full_trees: Contains 251 stereoscopic image pairs (502 images) of full trees captured during field data collection at Kieni Forest, and 251 corresponding segmentation masks (to make a total of 753 images). The ground truth values for the crown diameters (CD) and the tree heights (TH) of these trees are contained in the 'full_trees.csv' file.
2. trunks: Contains 90 stereoscopic image pairs (180 images) of tree trunks captured during field data collection at the Dedan Kimathi University of Technology,  and 90 corresponding segmentation masks (to make a total of 270 images). The ground truth values for the diameters at breast height (DBH) of these trunks are contained in the 'trunks.csv' file.
3. Calib-v1 (folder): Contains 29 calibration image pairs from which calibration parameters can be obtained. These parameters should be applied only to the images in the 'full_trees*' folders. 
4. Calib-v2 (folder): Contains 30 calibration image pairs from which calibration parameters can be obtained. These parameters should be applied only to the images in the 'trunks' folder. 
5. full_trees.csv: Contains the ground truth values for the CD and TH of the 251 trees measured at Kieni Forest. Each tree in the images inside the 'full_trees' folder has its CD and TH value in this file.
6. trunks.csv: Contains the ground truth values for the DBH of the 90 trees measured at the Dedan Kimathi University of Technology. Each tree in the images inside the 'trunks' folder has its DBH value in this file.

Before capturing the images in this dataset, camera calibration was performed using the well-known OpenCV library. For the meaning of the individual camera parameters in the text and YAML files, please refer to this article by OpenCV: https://docs.opencv.org/3.4.15/d9/d0c/group__calib3d.html
DOI: 10.6084/m9.figshare.1574190.v7
title: The Open Accessibility and Remoteness Index for Australia

description: <strong>The Open Accessibility and Remoteness Index for Australia.</strong> The "Open Accessibility and Remoteness Index for Australia" is an open-data, national GIS accessibility index for Australia. Many researchers are familiar with the Australian Bureau of Statistics Remoteness Structure, which categorises places in Australia into five classes according to their remoteness. Often it would be more useful to have remoteness measured as a continuous variable, rather than a categorical one however. The ABS Remoteness Structure is based on <em>ARIA+</em>, a continuous remoteness index produced by the National Centre for Social Applications of GIS at the University of Adelaide. Unfortunately, ARIA+ is a commercial product which costs hundreds of dollars. The "Open accessibility and remoteness index for Australia" reimplements the ARIA+ methodology and makes the results freely available in the public domain. The major divergence from the ARIA+ methodology is that where ARIA+ uses network distance along highways to measure proximity, this project uses Euclidian distance. The Open Accessibility and Remoteness Index for Australia is available for 2001, 2006 and 2011 census geographies. Files available for download include 1-km raster data , population-weighted mean values for selected ABS census geographic units and a brief technical report. Please contact Francis Markham with any inquiries.
DOI: 10.6084/m9.figshare.22682794.v1
title: Cinando film festival programming dataset

description: This data set supports the analyses presented in the paper titled <strong>Quantifying the global film festival circuit: Networks, diversity, and public value creation</strong>, preprint available at: https://osf.io/preprints/socarxiv/g9w4b/. The R code to reproduce the analyses is available at: https://github.com/andreskarjus/cinandofestivals. The data sample is sufficient for the reproduction of results and graphs. The graphs in this paper are also available as an interactive dashboard in an online supplementary, where details behind individual data points can be easily observed: https://andreskarjus.github.io/cinandofestivals.
This research has been made possible by data provided directly to authors from the Cannes Film Market (Marché du Film – Festival de Cannes), the company operating the Cinando website and database (https://cinando.com/). Launched in 2003 as the database of the attendees at the Cannes Festival, Cinando has since grown into the premier platform supporting hundreds of film festivals and film markets (industry events held during festivals, mostly oriented to promoting investment opportunities, rights sales, and production services). Cinando offers film professionals tools to navigate the film industry, including information about contacts, films, projects in development, market screening schedules, market attendees, and screeners. The platform services film festivals and markets by facilitating rights sales, investments, and business-to-business video on demand. The platform relies on a large proprietary relational database. The authors received a full database dump via a research partnership with the data owner on 2021-10-08. 
This data set concerns the part of the Cinando database that registers information about film festival programming and contains, at face value, 77,398 films programmed at 38,367 festival events, resulting in 183,865 film–festival event pairs, between 2007–2022 (<strong>festivals_films.csv</strong>). The festival metadata includes event and, occasionally, festival series title, event location country, and event year. Film metadata contains runtime, production year, names of crew members (<strong>filmrole.csv</strong> - only crew role and gender are made available to protect privacy), origin countries (<strong>filmcountry.csv</strong>), languages spoken in the film (<strong>filmlang.csv</strong>), and content type tags (<strong>filmgen.csv</strong>). The latter is a mixture of tags typically used to describe films within the festival context, including genre (e.g. drama, documentary), target audience (children’s, family), identity (Jewish, LGBT), and production type (TV Series, VR). The authors have cleaned and homogenized the data to make it usable and expanded it with festival type and crew gender information. Cinando technical IDs and personal data have been anonymized. The data owner supports the publication of this data set.
DOI: 10.6084/m9.figshare.6531005.v2
title: Weigel GRC Dynamic Plant Systems 2018

description: Presentation at the 2018 Gordon Research Conference "Plant Molecular Biology – Dynamic Plant Systems"https://www.grc.org/plant-molecular-biology-conference/2018/<br>
DOI: 10.6084/m9.figshare.7379186.v3
title: BreCaHAD: A Dataset for Breast Cancer Histopathological Annotation and Diagnosis

description: This dataset consists of 1 <b>.xlsx</b> file, 2 <b>.png</b> files, 1 <b>.json</b> file and 1 <b>.zip</b> file:<br><b>annotation_details.xlsx: </b>The distribution of annotations in the previously mentioned six classes (mitosis, apoptosis, tumor nuclei, non-tumor nuclei, tubule, and non-tubule) is presented in a Excel spreadsheet.<br><b>original.png: </b>The input image.<br><br><b>annotated.png:</b> An example from the dataset. In the annotated image, blue circles indicate the tumor nuclei, pink circles show non-tumor nuclei such as blood cells, stroma nuclei, and lymphocytes; orange and green circles are mitosis and apoptosis, respectively; light blue circles are true lumen for tubules, and yellow circles represent white regions (non-lumen) such as fat, blood vessel, and broken tissues.<br><br><b>data.json:</b> The annotations for the BreCaHAD dataset are provided in JSON (JavaScript Object Notation) format. In the given example, the JSON file (ground truth) contains two mitosis and only one tumor nuclei annotations. Here, <i>x</i> and <i>y</i> are the coordinates of the centroid of the annotated object, and the values are between [0, 1] (divided by width and height of an image).<br><br><b>BreCaHAD.zip: </b>An archive file containing dataset. Three folders are included: images (original images), groundTruth (json files), and groundTruth_display (groundTruth applied on original images)<br><br>
DOI: 10.6084/m9.figshare.12435077.v1
title: Subjective ratings of the concreteness, valence, and crosslingual similarity (with Dutch) of two-word English expressions

description: These data are described in: S Lindstromberg & J Eyckmans. The retrievability of L2 English multi-word items in a context of strongly form-focused exposure: What matters? Studies in Second Language Acquisition. Accepted 31 May, 2020. The data were collected for an investigation of the effects of a number of pedagogical and lexical variables on the memorability of the forms of two-word English expressions of miscellaneous syntactic structure. The data consist of ratings of Concreteness, Valence, and Similarity (i.e., cognateness and congruence between L1 Dutch and L2 English). The first five columns relate to Concreteness; the next five to Valence; and the last four to Similarity. As detailed in the article mentioned above, it was possible to validate the the ratings of Concreteness and Similarity owing to modest overlapping coverage with existing databases, namely:## Brysbaert, M, Warriner, A., & Kuperman, V. (2014). Concreteness ratings for 40,000 generally known English word lemmas. Behavior Research Methods, 46, 904– 11. https://doi.org/10.3758/s13428-013-0403-5## Warriner A., Kuperman, V., & Brysbaert, M. (2013). Norms of valence, arousal, and dominance for 13,915 English lemmas. Behavior Research Methods, 45, 1191–1207. https://doi.org/10.3758/s13428-012-0314-x For all three sets of ratings indicators of internal reliability are good:Concreteness: Mean split-half r(5000) = .93; Spearman-Brown corrected reliability = .96; SD = 0.11. Valence: split.h r = .95, SB corr reliability = .98; SD = 0.08; Similarity: split.h r = .95, SB corr reliability = .98; SD = 0.10 We used the R function 'splithalf.r' in the package 'multicon' (Sherman & Serfas, 2011) to calculate the mean of 5000 split-half correlations across the ratings of all raters, with the split randomly chosen each time.## Sherman, R., & Serfas, D. (2011). multicon (Multivariate constructs), Version 1.6. http://127.0.0.1:13752/library/multicon/html/multicon-package.html<br>
DOI: 10.6084/m9.figshare.15175515.v5
title: High endemism of cacti remains unprotected in the Caatinga

description: species list, species occurrence data, map of cactus endemism, Caatinga Protected Areas<br>
DOI: 10.6084/m9.figshare.23552964.v2
title: The raw data of resting EEG of patients with prolonged disorders of consciousness

description: The dataset consists of resting-state electroencephalogram (EEG) data in dat format from 32 healthy individuals and 59 patients with consciousness disorders. Each data segment comprises 60 epochs, with each epoch lasting 2 seconds. There are 62 electrode points, and the sampling rate is 250 Hz.
DOI: 10.6084/m9.figshare.5127442.v1
title: Supplementary Material for: Early Decline in Six-Minute Walk Distance from the Time of Diagnosis Predicts Clinical Worsening in Pulmonary Arterial Hypertension

description: <b><i>Background:</i></b> The six-minute walk distance (6MWD) is commonly used to assess pulmonary arterial hypertension (PAH). However, the role of 6MWD in predicting outcomes in PAH is controversial. Clinical worsening is being increasingly considered as a clinically meaningful end point in PAH. <b><i>Objectives:</i></b> We aimed to investigate whether early longitudinal changes in 6MWD (Δ6MWD) in meters and percent predicted (%pred) from the time of diagnosis predict clinical worsening of PAH. <b><i>Methods:</i></b> One hundred patients with group I PAH were retrospectively assessed. 6MWD was calculated using American (%pred US) or Canadian (%pred CAN) reference equations. Δ6MWD at 6 months were recorded. Clinical worsening was defined as either: development of right heart failure, hospital admission for PAH, referral for lung transplantation or initiation of prostanoids after oral therapy failed. Optimal 6-month differences in 6MWD to detect worsening were defined with receiver operating characteristics (ROC) analysis. <b><i>Results:</i></b> Progressors, i.e. patients with clinical worsening, and nonprogressors showed significant differences in Δ6MWD. The most clinically significant declines in 6MWD at 6 months were ≥35 m, ≥8%pred US and ≥6%pred CAN. ROC and Cox proportional hazard analyses showed equivalent results for 6MWD %pred and meters. Six-month declines in 6MWD predicted worsening with a high specificity (94%) but a low sensitivity (33%). <b><i>Conclusions:</i></b> Early declines in 6MWD (within the first 6 months) predict future clinical worsening of PAH with high specificity. Δ6MWD may still be part of a comprehensive assessment of a patient's clinical status. However, given the poor sensitivity, a decline in 6MWD should be used with other clinical tools to make an appropriate assessment of the progression of PAH.
DOI: 10.17632/jcbtdmsv58
title: Advantages and disadvantage of nursing care robots in Japan based on student experience

description: This is the data of a survey of seven students taking a nursing care course at College A after they experienced various nursing care robots in the education program.
DOI: 10.17632/snzrkfrg7x
title: Active Pharmaceutical Ingredients from Brazilian Pharmacopeia in 2Dsdf, 3Dsdf and Mol2 format

description: Active Pharmaceutical Ingredients (APIs) are molecules that can be used for the manufacturing of Drugs. The Brazilian Health Regulatory Agency (Agência Nacional de Vigilância Sanitária) is responsible for the oversight and approval of production and distribution of all drugs in Brazilian territory. The dataset containing 2Dsdf, 3Dsdf and Mol2 format files may be useful in a vast range of in silico techniques.

“APIs Anvisa sdf” is composed of 2D sdf format files, obtained from PubChem or DrugBank databases, where the download of the molecules were made manually and individually;
“APIs Anvisa MOL2” is composed of mol2 format files;
“APIs Anvisa 3Dsdf” having three-dimensional structures in sdf format.

The data conversion was made by using the OpenBabel and Marvin software.
DOI: 10.6084/m9.figshare.1401845.v2
title: Kinect shoulder data

description: This data is numerical which measured shoulder range of motions by Kinect or goniometer. It is part of data which we examined.
DOI: 10.6084/m9.figshare.14444567.v1
title: Data sample details

description: Supporting materials for short paper investigating algorithmic fairness of machine learning models used in Learning Analytics predictions. The paper is published at Artificial Intelligence in Education 2021 conference.
DOI: 10.6084/m9.figshare.19225374.v1
title: Terrain Features-Aware Deep Learning Network for Digital Elevation Model Super-Resolution

description: The data of the paper "Terrain features-aware deep learning network for digital elevation model superresolution" in ISPRS Journal of Photogrammetry and Remote Sensing. If it can help you with your paper, please cite our work. Thanks!
DOI: 10.6084/m9.figshare.19453127.v1
title: IJPR-DEA_MPI_panel data_new.dta

description: This data set consists of a balanced panel of 432 manufacturing companies listed in MSCI KLD 400 Social Index over the years 2015–2018. <br>We use the MSCI KLD 400 Social Index dataset for circular performance information.We use the Wharton Research Data Services’ COMPUSTAT dataset for corporate financial information.<br>For blockchain adoption we use an indicator variable, such as the annual number of blockchain-related news items is nonzero, 0 otherwise. The number of blockchain-related news items are extracted from LexisNexis database. <br>
DOI: 10.4121/uuid:c1fb5962-e939-4c51-bfd5-eac6f2935d44
title: WiseNET: Multi-camera dataset

description: The WiseNET dataset provides multi-camera multi-space video sets, along with manual and automatic people detection/tracking annotations and the complete contextual information of the environment where the network was deployed.
DOI: 10.6084/m9.figshare.12849833.v1
title: ATTRv amyloidosis Italian Registry: clinical and epidemiological data

description: ATTRv amyloidosis is worldwide spread with endemic foci in Portugal and Sweden, Japan, Brazil, Maiorca, and Cyprus. A national Registry was developed to characterise the epidemiology and genotype-phenotype correlation of ATTRv amyloidosis in Italy and to allow a better planning of diagnostic and therapeutic services. Fifteen Italian referral centres for amyloidosis spread all over the country have contributed to the Registry. Four-hundred-forty-seven subjects were enrolled, 187 asymptomatic carriers and 260 affected patients. Thirty-one different mutations were recorded. The seven most represented genetic variants were significantly different in terms of age at onset, clinical features and geographical distribution. National prevalence is 4.33/million with higher values in Southern Italy. Overall symptoms of polyneuropathy were present at disease onset in about half of the patients, symptoms of cardiomyopathy in a quarter of patients, the rest referring carpal tunnel syndrome, dysautonomia or lumbar spinal stenosis. 52.6% of patients were in FAP stage 1, 20.4% in stage 2 and 13.5% in stage 3, while 13.5% patients had no neuropathy, presenting only cardiological symptoms. We presented an epidemiological study based on collaboration among referral centres for ATTRv amyloidosis spread in all the Italian territory, using web-based Registry. It provided a detailed map of the regional distribution of the disease. The increased awareness of the disease among general practitioners and medical specialists has contributed to reduce the diagnostic delay and the rate of misdiagnosis. The Registry will allow to collect also future information about clinical and instrumental follow-up.
DOI: 10.6084/m9.figshare.13547447.v1
title: Monitored heat pump heat demand profiles - supplementary information to Watson et al (2021)

description: Empirical heat demand profiles for GB homes heated by heat pumps. Supplementary information to:Watson, S.D, Lomas K.J. and Buswell R.A, 2021. How will heat pumps alter national half-hourly heat demands? Empirical modelling based on GB field trials.
DOI: 10.6084/m9.figshare.21750158.v1
title: Data Collectives

description: Human experimentation data on data sharing decisio conducted at the DeSciL lab at ETH Zurich
DOI: 10.6084/m9.figshare.29050340.v1
title: A Coordination-Free Parallel Framework for High Time Resolution Unit Commitment Problems

description: A Coordination-Free Parallel Framework for High Time Resolution Unit Commitment Problems input data, including the modified Polish 2736-bus system、dispatchable units data、one year actual load and wind data with 5-min time resolution and 10-min resolution.