cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/k34rvfw3dg.2
title: Machine learning predicting myopic regression after corneal refractive surgery using preoperative data and fundus photography

description: The aim of this study is to develop deep learning models that can identify high-risk patients for refractive regression based on preoperative data and fundus photography.

This retrospective study was approved by the Institutional Review Board of Korean National Institute for Bioethics Policy (KoNIBP, 2019-1685-003), which waived the requirement for informed consent because the data was fully de-identified to protect patient confidentiality. The collection of external validation samples in each cohort was approved by the ethics board at the Aerospace Medical Center. This study adhered to the tenets of the Declaration of Helsinki. This study was performed using data from the B&VIIT Eye Center in Seoul, South Korea. From 2015 to 2016, a total of 12,912 patients aged 18-45 years, who underwent vision-correction, were screened to identify corneal refractive surgery cohorts for analysis. The study subjects were required to undergo LASIK, LASEK, or SMILE at least one eye and to have the ocular measurements in the fourth year after surgery (for a period of more than 48 months and less than 60 months). Of these, 11,821 patients were excluded due to no follow-up visit, other surgery such as phakic intraocular lens implantation, and histories of corneal disorder, retinal disorder, and glaucoma. Finally, the study population consisted of 2,009 eyes of 1,091 patients. 
The datasets utilized in this study are not publicly available because of reasonable privacy and security concerns. Instead, a sample of anonymized fundus photography data and clinical measurements were released. Note that this was not the exact data used in the research, but was a cleaned-up reproduction of our study's key insight.

The sample imaging and clinical data used in this study have been deposited in this repository (randomly sampled).
In this repository, there are 150 fundus photos with myopic progression after refractive surgury and 180 fundus photos with no myopic progression (myopic regression.zip file).
And there are a total of 165 ocular measurements (55 LASIK, 55 LASEK, and 55 SMILE, sample.cvs file) .
The two datasets are not coupled for security reasons.

The ResNet50file_5foldcv.zip file contains the ResNet50 models trained in the 5-fold cross-validation process to predict myopic regression after refractive surgery.
DOI: 10.5281/zenodo.5656797
title: data-wengang20211109

description: datasets for manuscript submitted to Atmospheric Measurement Techniques by Wengang Zhang
DOI: 10.5281/zenodo.5105082
title: data-wengang20211109

description: datasets for manuscript submitted to Atmospheric Measurement Techniques by Wengang Zhang
DOI: 10.17632/3fy6rnydt3.1
title: My first DS

description: Some random data
DOI: 10.17632/tpp7xnmwxg.1
title: FIGURE 7

description: Original imaging Tif files for Figure 6
Fig 7a-f SW756 B3 WT cells stained with JC-1 and imaged by live-cell confocal microscopy in XYZt
Fig 7g-l SW756 B3 KO cells stained with JC-1 and imaged by live-cell confocal microscopy in XYZt
Images taken every 5 minutes and imaged with 488nm excitation laser
Fig 7v-y = TEM images 
T= time, C01 = green fluorescence channel, C02 = red fluorescence channel, Z = z position
DOI: 10.5519/qd.05fdod90
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15161/oar.it/74226
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5517/ccdc.csd.cc26zykq
title: CCDC 2055534: Experimental Crystal Structure Determination

description: Related Article: James D. Parish, Michael W. Snook, Andrew L. Johnson|2021|Dalton Trans.|50|13902|doi:10.1039/D1DT02480A
DOI: 10.5281/zenodo.3095763
title: Orthophotos and DSMs derived from RPAS flights over wild boar damaged fields in Eigenbilzen in Flanders, Belgium

description: <strong>Study area</strong> The study area in Eigenbilzen is situated in the agricultural zone east of the locality of Eigenbilzen, in the province of Limburg, Flanders, Belgium. The flights picture a wheat field where damage by wild boar is apparent. <strong>Data collection</strong> Data were collected by the Research Institute for Nature and Forest (INBO) with a fixed wing drone Gatewing X100 in 2015 (2 flights). RGB data were acquired using an off-the-shelf Ricoh GR Digital IV camera, with the following image bands: 1: red, 2: green, 3: blue, 4: alpha channel. CIR (color-infrared) data were acquired using a NIR-enabled Ricoh GR Digital IV camera, with the following info bands: 1: NIR, 2: red, 3: green, 4: alpha channel. <strong>Data processing</strong> The raw data were processed to Digital Surface Models and orthophotos by INBO in 2015 using Agisoft PhotoScan Pro 1.0.4, a structure-from-motion (SfM) based photogrammetry software program. <strong>Coordinate reference system</strong> All geospatial data have the coordinate reference system <code>EPSG:31370 - Belgian Lambert 72</code>. <strong>Files</strong> <strong>Raw flight data</strong>: images and logs collected by the drone during flight. These files are zipped per flight, with the date (<code>yyyymmdd</code>) and flight number (<code>x</code>) indicated in the file name (<code>flight_yyyymmdd_Bilzen_x.zip</code>). <strong>Processed data</strong>: Digital Surface Models (<code>filename_DSM.tif</code>) and orthophotos (<code>filename_Ortho.tif</code>) stitched together from the raw data. The included flight is indicated in the file name (e.g. <code>20150728_Bilzen_1_DSM.tif</code>). <strong>Ground control points</strong>: not applicable for this dataset. <strong>Cloud Optimized GeoTIFF</strong> The most efficient way to explore the processed data is by loading the Cloud Optimized GeoTIFFs we created for each processed file. Copy one of the file URLs below and follow e.g. the QGIS tutorial to load this type of file. <code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_1_Ortho.tif</code> RGB <code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_2_DSM.tif</code> <code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_2_Ortho.tif</code> CIR <code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_1_DSM.tif</code> See this page for an overview of public INBO RPAS data.
description: This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
DOI: 10.5281/zenodo.3095762
title: Orthophotos and DSMs derived from RPAS flights over wild boar damaged fields in Eigenbilzen in Flanders, Belgium

description: <strong>Study area</strong> The study area in Eigenbilzen is situated in the agricultural zone east of the locality of Eigenbilzen, in the province of Limburg, Flanders, Belgium. The flights picture a wheat field where damage by wild boar is apparent. <strong>Data collection</strong> Data were collected by the Research Institute for Nature and Forest (INBO) with a fixed wing drone Gatewing X100 in 2015 (2 flights). RGB data were acquired using an off-the-shelf Ricoh GR Digital IV camera, with the following image bands: 1: red, 2: green, 3: blue, 4: alpha channel. CIR (color-infrared) data were acquired using a NIR-enabled Ricoh GR Digital IV camera, with the following info bands: 1: NIR, 2: red, 3: green, 4: alpha channel. <strong>Data processing</strong> The raw data were processed to Digital Surface Models and orthophotos by INBO in 2015 using Agisoft PhotoScan Pro 1.0.4, a structure-from-motion (SfM) based photogrammetry software program. <strong>Coordinate reference system</strong> All geospatial data have the coordinate reference system <code>EPSG:31370 - Belgian Lambert 72</code>. <strong>Files</strong> <strong>Raw flight data</strong>: images and logs collected by the drone during flight. These files are zipped per flight, with the date (<code>yyyymmdd</code>) and flight number (<code>x</code>) indicated in the file name (<code>flight_yyyymmdd_Bilzen_x.zip</code>). <strong>Processed data</strong>: Digital Surface Models (<code>filename_DSM.tif</code>) and orthophotos (<code>filename_Ortho.tif</code>) stitched together from the raw data. The included flight is indicated in the file name (e.g. <code>20150728_Bilzen_1_DSM.tif</code>). <strong>Ground control points</strong>: not applicable for this dataset. <strong>Cloud Optimized GeoTIFF</strong> The most efficient way to explore the processed data is by loading the Cloud Optimized GeoTIFFs we created for each processed file. Copy one of the file URLs below and follow e.g. the QGIS tutorial to load this type of file. <code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_1_Ortho.tif</code> RGB <code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_2_DSM.tif</code> <code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_2_Ortho.tif</code> CIR <code>http://s3-eu-west-1.amazonaws.com/lw-remote-sensing/cogeo/20150728_Bilzen_1_DSM.tif</code> See this page for an overview of public INBO RPAS data.
description: This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
DOI: 10.5281/zenodo.592789
title: Bird migration case study dataset v1.1

description: Bird migration case study dataset, updated during the WG3 workshop ‘Visualisations: from show cases to production’ in 2015 by @peterdesmet. Changeset Add aggregation instructions for bird migration altitude profiles Add instructions to create basemap Add forward trajectory data Change license to CC0 Update README & documentation where necessary
description: {"references": ["Shamoun-Baranes et al. (2016) Innovative visualizations shed light on avian nocturnal migration. PLoS ONE 11(8): e0160106. doi: https://doi.org/10.1371/journal.pone.0160106"]}
DOI: 10.5281/zenodo.5627375
title: All FIR files

description: This dataset contains all FIR files of 2SpeedGenome analysis.
DOI: 10.5281/zenodo.5627374
title: All FIR files

description: This dataset contains all FIR files of 2SpeedGenome analysis.
DOI: 10.5281/zenodo.5625886
title: Annotated Protein files of 120 Phytophthora genomes

description: These are the annotated protein files of 120 Phytophthora genomes
DOI: 10.5281/zenodo.5625885
title: Annotated Protein files of 120 Phytophthora genomes

description: These are the annotated protein files of 120 Phytophthora genomes
DOI: 10.6084/m9.figshare.16961299
title: Supplementary Material for: Pharmacokinetics and Pharmacodynamics of Sacubitril/Valsartan in Maintenance Hemodialysis Patients with Heart Failure

description: <b><i>Background:</i></b> Heart failure (HF) is one of the main comorbidities in patients receiving maintenance hemodialysis (HD). Sacubitril/valsartan (SAC/VAL) is widely used in HF patients with reduced ejection fraction (HFrEF) or HF mid-range ejection fraction (HFmrEF). However, the pharmacokinetic (PK) and pharmacodynamic properties of SAC/VAL in HD patients with HF remain uncertain. <b><i>Objectives:</i></b> This study aimed to analyze the efficacy and PK properties of SAC/VAL in HD patients with HFrEF or HFmrEF. <b><i>Methods:</i></b> HD patients with HFrEF or HFmrEF were treated with SAC/VAL 50 or 100 mg twice a day (BID) and the concentrations of valsartan and LBQ657 (active metabolite of SAC) were determined by high-performance liquid chromatography-tandem mass spectrometry during HD and on the days between HD sessions (interval days). N-terminal-pro B-type natriuretic peptide and high-sensitivity troponin T were measured, and left ventricular ejection fraction (LVEF) was evaluated by echocardiography. <b><i>Results:</i></b> The mean maximum plasma concentrations (<i>C</i><sub>max</sub>) of LBQ657 and VAL on the interval days were 15.46 ± 6.01 and 2.57 ± 1.23 mg/L, respectively. Compared with previous values in patients with severe renal impairment and healthy volunteers, these levels both remained within the safe concentration ranges during treatment with SAC/VAL 100 mg BID. Moreover, SAC/VAL significantly improved LVEF in HD patients with HFrEF or HFmrEF (<i>p</i> &lt; 0.05). <b><i>Conclusions:</i></b> HD did not remove the SAC metabolite LBQ657 or VAL in patients with HF. However, SAC/VAL 100 mg BID was safe and effective in patients undergoing HD.
DOI: 10.5281/zenodo.5604488
title: JSON files containing parameters of training gene models for ab-initio prediction software

description: These are the JSON files containing parameters of training gene models for ab-initio prediction software. These training datasets are Phytophthora specific and can be further utilized for the gene prediction and annotation of other related Phytophthora strains.
DOI: 10.5281/zenodo.5604487
title: JSON files containing parameters of training gene models for ab-initio prediction software

description: These are the JSON files containing parameters of training gene models for ab-initio prediction software. These training datasets are Phytophthora specific and can be further utilized for the gene prediction and annotation of other related Phytophthora strains.
DOI: 10.5281/zenodo.5600157
title: RxLR EFFECTROR SEQUENCES ALONG WITH GFF3 FILES

description: Fasta sequences are the RxLR sequences of all 128 Phytophthora genomes. The GFF3 files contain the coordinates of the RxLRs.
DOI: 10.5281/zenodo.5600156
title: RxLR EFFECTROR SEQUENCES ALONG WITH GFF3 FILES

description: Fasta sequences are the RxLR sequences of all 128 Phytophthora genomes. The GFF3 files contain the coordinates of the RxLRs.
DOI: 10.6084/m9.figshare.5692087.v1
title: Scale validation conducting Confirmatory Factor Analysis: A Monte Carlo simulation study with LISREL

description: <b>MAIN FILES (SPSS/Excel)</b>: <b>Continuous_Data_Normal_ML and Continuous_Data_Normal_ULS</b> <br>The main files contain the complete LISREL output in two files, one for Maximum Likelihood or ML estimation and the other for Unweighted Least Squares or ULS estimation (parameter estimates, standard errors and goodness-of-fit measures). For comparison reasons, ML parameter estimates are standardized. <br><b>SUPPLEMENTARY FILES</b>:1) <b>Supplementary Examples.pdf</b>. This file contains PRELIS and LISREL syntax examples.<br>2) <b>Unstandardized_parameters_ML (SPSS/Excel)</b>. These files contain the unstandardized parameter estimates .3) <b>Continuous_data_INFORMATION.pdf</b>. This file contains general information and instructions to perform data simulation with the PRELIS program and CFA model estimation with the LISREL program.<br>4) RAW DATASETS (SPSS/Excel): <b>from N200L020 to N500L040</b>. These raw dataset contain simulated sample data from all experimental conditions. The name of each file has two parts. The letter "N" denotes the sample size used to generate the data collected by each file (N200, N300, N400, and N500), and L020, L030, and L040 denote the simulated factor loading magnitude.<br>
DOI: 10.5281/zenodo.5599573
title: GFF3 Annotation files for 120 Phytophthora genomes

description: The GFF3 files contain annotation data for 120 Phytophthora genomes.
DOI: 10.5281/zenodo.5599572
title: GFF3 Annotation files for 120 Phytophthora genomes

description: The GFF3 files contain annotation data for 120 Phytophthora genomes.
DOI: 10.5281/zenodo.5599403
title: GMATA OUPUT SAT2 FILES FOR 128 PHYTOPHTHORA GENOMES

description: The uploaded 128 files are GMATA software derived sat2 files containing information regarding statistics of SSRs present in the genome.
DOI: 10.5281/zenodo.5599402
title: GMATA OUPUT SAT2 FILES FOR 128 PHYTOPHTHORA GENOMES

description: The uploaded 128 files are GMATA software derived sat2 files containing information regarding statistics of SSRs present in the genome.
DOI: 10.5281/zenodo.5656901
title: Behavioral data for Great tit responses to alarm calls under high temperatures

description: This README accompanies the file "data_high temperatures alarm calls.txt"<br> <br> ********************************** CONTENTS ***********************************<br> The data are in table form with TABs as variables field delimiters so they can <br> be readily imported in any statistical package or spreadsheet program. Please, <br> contact us if you need the file formatted otherwise. This file includes a description of the variables.<br> <br> *******************************************************************************<br> Variable names and descriptions ID ID of the behavioral test <br> Date Date of the test experiment<br> Hour Date of the test experiment<br> Playback Playback ID of mobbing calls of great tits or Chaffinch songs used for the experiment <br> Treatment Control (Chaffinch songs) or Call (mobbing calls of great tits) treatment<br> Sex Sex of the focal individual<br> Ncalls Number of mobbing vocalizations emitted by the focal individual during 1 min of playback<br> Mindist Minimum distance to the speaker reached by the focal individual during 1 min of playback<br> T0 Air temperature during the experiment<br> T5 Mean temperature observed for the 5 hours before the test <br> T12 Mean temperature observed for the 12 hours before the test<br> T24 Mean temperature observed for the 24 hours before the test<br> T48 Mean temperature observed for the 48 hours before the test<br> Wind-km.h-1 Wind speed during the experiment<br> Humidity Air humidity during the experiment<br> P-hPa Atmospheric pressure during the experiment ********************************* CONTACT **********************************<br> Please contact me at: Marion Cordonnier<br> e-mail: marion.cordonnier@hotmail.com<br> *******************************************************************************
DOI: 10.5281/zenodo.5656900
title: Behavioral data for Great tit responses to alarm calls under high temperatures

description: This README accompanies the file "data_high temperatures alarm calls.txt"<br> <br> ********************************** CONTENTS ***********************************<br> The data are in table form with TABs as variables field delimiters so they can <br> be readily imported in any statistical package or spreadsheet program. Please, <br> contact us if you need the file formatted otherwise. This file includes a description of the variables.<br> <br> *******************************************************************************<br> Variable names and descriptions ID ID of the behavioral test <br> Date Date of the test experiment<br> Hour Date of the test experiment<br> Playback Playback ID of mobbing calls of great tits or Chaffinch songs used for the experiment <br> Treatment Control (Chaffinch songs) or Call (mobbing calls of great tits) treatment<br> Sex Sex of the focal individual<br> Ncalls Number of mobbing vocalizations emitted by the focal individual during 1 min of playback<br> Mindist Minimum distance to the speaker reached by the focal individual during 1 min of playback<br> T0 Air temperature during the experiment<br> T5 Mean temperature observed for the 5 hours before the test <br> T12 Mean temperature observed for the 12 hours before the test<br> T24 Mean temperature observed for the 24 hours before the test<br> T48 Mean temperature observed for the 48 hours before the test<br> Wind-km.h-1 Wind speed during the experiment<br> Humidity Air humidity during the experiment<br> P-hPa Atmospheric pressure during the experiment ********************************* CONTACT **********************************<br> Please contact me at: Marion Cordonnier<br> e-mail: marion.cordonnier@hotmail.com<br> *******************************************************************************
DOI: 10.5281/zenodo.5606474
title: Our predicted Crinkler (CRN) family effector proteins and the corresponding GFF3 files across 128 Phytophthora isolates

description: These files contain predicted Crinkler (CRN) family effector proteins and the corresponding GFF3 files across 128 Phytophthora isolates.
DOI: 10.5281/zenodo.5606473
title: Our predicted Crinkler (CRN) family effector proteins and the corresponding GFF3 files across 128 Phytophthora isolates

description: These files contain predicted Crinkler (CRN) family effector proteins and the corresponding GFF3 files across 128 Phytophthora isolates.
DOI: 10.5281/zenodo.5599498
title: GMATA derived ssr files containing Microsatellite data for 128 Phytophthora strains

description: These 128 files are GMATA software-derived .ssr files, containing Microsatellite data for each Phytophthora strain.
DOI: 10.5281/zenodo.5599497
title: GMATA derived ssr files containing Microsatellite data for 128 Phytophthora strains

description: These 128 files are GMATA software-derived .ssr files, containing Microsatellite data for each Phytophthora strain.
DOI: 10.5281/zenodo.5592751
title: Simulated terrestrial biosphere variables across Termination V (iLOVECLIM model)

description: The following files contain output data from the 32-kyr iLOVECLIM simulation covering Termination V: both sequences start at 436 kyr BP and end at 404 kyr BP with a yearly time step. Simulated_carbon_stock.nc: the average simulated carbon stock over latitudinal bands for each of the four carbon components (green biomass, structural biomas, slow Soil Organic Matter (SOM) and fat SOM) and the total carbon stock (sum of the four components). Simulated_tree_fraction.nc: the global simulated tree fraction (in %).
DOI: 10.5281/zenodo.5592750
title: Simulated terrestrial biosphere variables across Termination V (iLOVECLIM model)

description: The following files contain output data from the 32-kyr iLOVECLIM simulation covering Termination V: both sequences start at 436 kyr BP and end at 404 kyr BP with a yearly time step. Simulated_carbon_stock.nc: the average simulated carbon stock over latitudinal bands for each of the four carbon components (green biomass, structural biomas, slow Soil Organic Matter (SOM) and fat SOM) and the total carbon stock (sum of the four components). Simulated_tree_fraction.nc: the global simulated tree fraction (in %).
DOI: 10.6084/m9.figshare.16961701
title: 1- The MAPL of water function zones in Jiangsu Province (No.26 Document in 2014 by Jiangsu Water Resource Bureau) .xlsx

description: The threshold of water pollution discharge at water function zone level in Jiangsu Province, China
DOI: 10.6084/m9.figshare.16961701.v1
title: 1- The MAPL of water function zones in Jiangsu Province (No.26 Document in 2014 by Jiangsu Water Resource Bureau) .xlsx

description: The threshold of water pollution discharge at water function zone level in Jiangsu Province, China
DOI: 10.17632/phyy89w9c2.1
title: "Exonic Disruption Facilitates Antiviral CRISPR-Cas9 Activity for Multistrain HIV-1 Elimination" data files

description: These data were generated in order to look at the edits produced by CRISPR treatment for HIV
at the gene level. This supplements the publication 10.1016/j.ebiom.2021.103678

The data includes Flow cytometry raw fcs files, sanger traces and results.
DOI: 10.5281/zenodo.5637554
title: Energy-volume curves and and structures for TCP phases in the Co-Ti-W system

description: Numeric data from the DFT calculated energy - volume curves for intermetalic compounds in the Co-Ti-W system, including TCP phases. Data is arranged as a json file with a structure that implies a unique identifier for each compound and includes e-v curves, crystal structure for the equilibrium volume, and results from the Birch-Murnaghan fit. Data relatad to https://doi.org/10.1016/j.actamat.2017.07.037
description: Founded by German Research Society, CRC103/TR, project C1