cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5519/0038741
title: UK Species Inventory - Master copy

description: A full copy of the UK Species Inventory, including all tables. This gives the ultimate in functionality but does require a copy of Microsoft Access (or similar database environment) and skills in joining and querying complex table relationships. Although this dataset includes the source checklists, these are NOT to be reproduced without the permission of their creators. The manual is provided here but please contact me if you think you need access to the data itself.
DOI: 10.6084/m9.figshare.24133104
title: Dataset_phantom-intra40.mat

description: Two-layer flow phantom DCS dataset
This dataset contains the primary research data used in the analysis presented in the paper entitled "Deep-learning-based separation of shallow and deep layer blood flow rates in diffuse correlation spectroscopy," by Nakabayashi, M., Liu, S., Broti, N.M., Ichinose, M., and Ono, Y. (2023), published in Biomedical Optics Express.
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The dataset contains 1540 autocorrelation (g2) functions collected at three different source-detector separations (1, 2, 3 cm) in diffuse correlation spectroscopy (DCS). Each function represents the averaged waveform of stable observations over 60 instances, corresponding to one minute of measurement time. Measurements were made using a two-layer flow phantom.
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Each data set consists of three autocorrelation functions, the preset and measured flow rate combinations, and the estimated Blood Flow Index (BFI) values calculated using the homogeneous semi-infinite plate medium model. The time legend of the autocorrelation function is 2.5e-6:2.5e-6:5e-4 seconds.
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The dataset is in MATLAB *.mat file format and includes two components: 
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<strong>Dataset_set_intra40</strong> - a 7 x 1540 matrix with the following rows: 

 Row 1 - Shallow layer flow rate set at the pump 
 Row 2 - Deep layer flow rate set at the pump 
 Row 3 - Shallow layer flow rate measured at the phantom outlet 
 Row 4 - Deep layer flow rate measured at the phantom outlet 
 Row 5 - BFI estimated with DCS of 1 cm source-detector separation 
 Row 6 - BFI estimated with DCS of 2 cm source-detector separation 
 Row 7 - BFI estimated with DCS of 3 cm source-detector separation

<strong>ave_gtau_intra40</strong> - a 10 x 501 x 1540 matrix, the first 3 x 501 data points represent autocorrelation functions obtained with DCS of 1, 2, and 3 cm source-detector separations. The length of each autocorrelation function is 501. The information in the subsequent 4 to 10 rows mirrors that of Dataset_set_intra40. In total, 3 x 1540 autocorrelation functions are recorded. 
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For more detailed information and methodology, please refer to the published paper mentioned above. 
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<strong>FUNDING</strong>
JSPS KAKENHI (JP23H03288, 21K11457, 21K19738, 20K21772)
DOI: 10.6084/m9.figshare.25265209
title: Supplementary Material for: Occupation, Retirement Age, and 20-Year Cognitive Decline: The Atherosclerosis Risk in Communities Neurocognitive Study

description: Introduction: We examined the association of both midlife occupation and age at retirement with cognitive decline in the Atherosclerosis Risk in Communities (ARIC) biracial community-based cohort.
Methods: Current or most recent occupation at ARIC baseline (1987-89; ages 45-64y) was categorized based on 1980 US census major occupation groups and tertiles of the Nam-Powers-Boyd occupational status score (n=14,090). Retirement status via annual follow-up questionnaires administered ascertained in 1999-2007 was classified as occurring before or after age 70 (n=7,503). Generalized estimating equation models were used to examine associations of occupation and age at retirement with trajectories of global cognitive factor scores, assessed from visit 2 (1990-92) to visit 5 (2011–2013). Models were a priori stratified by race and sex and adjusted for demographics and comorbidities. 
Results: Low occupational status and blue-collar occupations were associated with low baseline cognitive scores in all race-sex strata. Low occupational status and homemaker status were associated with faster decline in White women but slower decline in Black women compared to high occupational status. Retirement before age 70 was associated with slower cognitive decline in White men and women and in Black men. Results did not change substantially after accounting for attrition.
Conclusion: Low occupational status was associated with cognitive decline in women but not in men. Earlier retirement was associated with a slower cognitive decline in White participants and in Black men. Further research should explore reasons for the observed associations and race-sex differences.
DOI: 10.6084/m9.figshare.26248898
title: Supplementary Material for: Intermediate versus High Oxygen Saturation Targets in Preterm Infants: A National Cohort Study

description: Introduction: Optimal oxygen saturation targets remain unknown for extremely preterm infants. 
Methods: Cohort analysis of eligible preterm infants born &lt;29 weeks’ gestation admitted between 2011 and 2018 to centers submitting data to the Canadian Neonatal Network (CNN) database. Site questionnaires to determine saturation targets, alarm settings and date of change, allowed assignation of centers to intermediate (88-93%) or high (90-95%) saturation targets. A six-month washout period was applied to sites which switched targets during the study period. Our primary outcome was survival free of major morbidity. Secondary outcomes were death, necrotizing enterocolitis (NEC), bronchopulmonary dysplasia (BPD), treated retinopathy of prematurity (ROP) and evidence of brain injury during admission. Generalized estimating equations were applied to compensate for demographic differences and site practices.
Results: There were 2739 infants in the high (mean gestational age (GA) 26 ± 1.6 weeks) and 6813 infants in the intermediate (mean GA 26.2 ± 1.6 weeks) saturation target group. Survival without morbidity was higher in the intermediate target group (adjusted odds ratio (aOR): 1.58; 95% CI 1.04, 2.45). There was no difference in mortality between groups (aOR 0.81; 95% CI: 0.59, 1.11), in NEC, treated retinopathy, or brain injury. On subgroup analysis, restricting data to sites which switched targets during the study, intermediate saturation targets were associated with lower rates of BPD (aOR 0.45; 95% CI 0.28, 0.72).
Conclusions: For neonates &lt;29 weeks’ gestation, intermediate saturation target was associated with a higher odds of survival without major morbidity compared to higher oxygen saturation target.
DOI: 10.6084/m9.figshare.26484838
title: Supplementary Material for: Haptoglobin Administration for Intravascular Hemolysis: A Systematic Review

description: Introduction
Exogenous haptoglobin administration may enhance plasma-free hemoglobin (pfHb) clearance during hemolysis, and reduce its end-organ damage: we sought to systematically review and summarize available evidence on the use of haptoglobin as a treatment for hemolysis of any cause. 

Methods
We included studies describing haptoglobin administration as treatment or prevention of hemolysis-related complications. Only studies with a control group reporting at least one of the outcomes of interest were included in the quantitative synthesis. Primary outcome was the change in pfHb concentration 1 hour after haptoglobin infusion. 

Results
Among 573 articles, 13 studies were included in the review (677 patients, 52.8% received haptoglobin). Median initial haptoglobin intravenous bolus was 4000 (2000, 4000) IU. Haptoglobin was associated with lower pfHb 1 hour (SMD -11.28; 95% CI -15.80 to -6.75; p&lt;0.001) and 24 hours (SMD -2.65; 95% CI -4.73 to -0.57; p=0.001) after infusion. There was no difference in all-cause mortality between haptoglobin-treated patients and control group (OR 1.41; 95% CI 0.49 to 4.95; p=0.520). Haptoglobin was associated with a lower incidence of acute kidney injury (OR 0.64; 95% CI 0.44-0.93; p=0.020). No adverse events or side effects associated with haptoglobin use were reported.

Conclusions
Haptoglobin administration has been used in patients with hemolysis from any cause to treat or prevent hemolysis-associated adverse events. Haptoglobin may reduce levels of pfHb and preserve kidney function without increase in adverse events.
DOI: 10.5281/zenodo.11163686
title: Computational Screening of Transition Metal Complexes as Guests in the Ga4L6-12 Nanocage

description: Optimized geometries, scripts, experimental data curated from the literature from complexes, and CSD filtering data for "Computational Screening of Putative Transition Metal Complexes as Guests in the Ga4L6-12 Nanocage."
DOI: 10.5281/zenodo.7644301
title: Dataset and stimuli: Perception of saturation in natural objects

description: <strong>This dataset contains observer data and stimulus information for the below publication. Refer to this manuscript for more details.</strong> Laysa Hedjar, Matteo Toscani, and Karl R. Gegenfurtner, "Perception of saturation in natural objects," Journal of the Optical Society of American A <strong>40</strong>(3), A190-A198 (2023), doi:10.1364/JOSAA.476874. Participant data is available in two files: <em>fruit_pt_data.csv </em>and <em>blob_pt_data.csv</em> <em>fruit_pt_data.csv</em>: fruit name: name of fruit pair object or swatch: whether the stimulus pair were whole objects or 8x8 swatches participant ID: given participant identification number proportion positive: proportion of trials in which participant chose the positive stimulus as more saturated (out of 10 total trials per stimulus pair) <em>blob_pt_data.csv</em>: blob hue (radians - LAB): hue in radians of the blob pair, as defined in LAB-LCH color space object or swatch: whether the stimulus pair were whole objects or 8x8 swatches matched or unmatched: whether the stimulus pair were matched in terms of blob ID (refers to spatial configuration) positive stimulus ID: identification number of the positive LC-slope stimulus (refers to spatial configuration) negative stimulus ID: identification number of the negative LC-slope stimulus (refers to spatial configuration) note that the above two IDs should be identical if the stimulus is a 'matched' pair participant ID: given participant identification number proportion positive: proportion of trials in which participant chose the positive stimulus as more saturated (out of 5 total trials per stimulus pair) Stimuli pngs are in the zip file s<em>timuli.zip</em>. Pngs are not gamma-corrected. Blob and fruit stimulus sets are separated by folder; object and swatch stimulus sets are also separated by folder. Fruit pngs are labeled: fruit_[object/swatch]_[fruitName]-[negative/positive].png For blob pngs, six possible spatial configurations for each hue were used. An ID was given for each configuration. Blob pngs are labeled: blob_[object/swatch]_hue[hueInRadians]_ID[1-6]-[negative/positive].png Statistics of the stimulus images are presented in the files <em>fruit_stats_objects.csv</em>, <em>fruit_stats_swatches.csv</em>, <em>blob_stats_objects.csv</em>, and <em>blob_stats_swatches.csv</em>. Each column represents a different stimulus image. Each row represents a different statistic taken across the distribution of pixels. Calculations were made in CIELAB-LCH color space ('white point' defined as white of monitor: CIE1931 xyY 0.3328, 0.3343, 142.35).
DOI: 10.6084/m9.figshare.25012526
title: Supplementary Material for: Variations in patterns of prescribing durvalumab in stage III lung cancer: a survey of Australian Medical Oncologists

description: Background: Local Australian guidelines for the optimal management of stage III unresectable NSCLC are lacking. The American Society of Clinical Oncology (ASCO) guidelines recommend consolidation durvalumab for all patients with unresectable stage III NSCLC irrespective of their PD-L1 expression or driver mutation status. The European Society of Medical Oncology (ESMO) differs, with consolidation durvalumab only recommended in those patients whose tumours express PD-L1. 
Methods: Due to differing global guidelines we conducted an Australia and New Zealand wide survey of medical oncologists specialising in thoracic cancer to determine the variations in patterns of prescribing durvalumab in stage III unresectable NSCLC. This survey was done electronically and sponsored by the Thoracic Oncology Group of Australia (TOGA).
Results: Thirty-two medical oncologists completed the survey. In patients with EGFR¬-mutated stage III unresectable NSCLC, 6% of respondents stated that they prescribed durvalumab for all patients, whilst an additional 6% strongly recommended treatment. Fourty-four percent suggested little benefit of consolidation durvalumab in this cohort, with an additional 19% advocating for observation only. In patients with PD-L1 negative (0%) stage III unresectable NSCLC, 13% of respondents prescribed durvalumab for all patients, whilst an additional 56% strongly recommended treatment. Interestingly, 18%, 10% and 10% of prescribers discussed self-funded oral tyrosine kinase inhibitor (TKI) therapy in patients with EGFR, ALK or ROS-1 mutated NSCLC respectively as a substitute for consolidation durvalumab.
Conclusion: Overall, the clinical practice of Australian and New Zealand Medical Oncologists is variable, but remains consistent with either the ASCO or ESMO guidelines. Local practice guidelines are required to ensure consistency in prescribing patterns across Australia, as well as providing evidence for self-funded treatments outside standard of care.
DOI: 10.6084/m9.figshare.25246033
title: Transfer Matrix Method datasets

description: This data is generated by transfer matrix method to verify the finite element method of COMSOL.
DOI: 10.5281/zenodo.10211762
title: ADAPT Global Solar Magnetic Maps - 2010 Sep 18-20 (w/ & w/o farside active region input)

description: ADAPT (Air Force Data Assimilative Photospheric flux Transport) model global solar magnetic maps using HMI magnetograms with ("wfar") and without ("orig") estimated farside active region flux, for the 3  day period: September 18-20, 2010.  The farside emergence of NOAA AR11109 (approximately on 18sep2010, based on STEREO observations of farside) is estimated by modeling the HMI vector observation on the east-limb (i.e., at a CMD of approximately -61.5 degrees) back ~6 days.
DOI: 10.5281/zenodo.10656837
title: Data used in "Updating the radiation infrastructure in MESSy (based on MESSy version 2.55)"

description: The data presented here are needed to reproduce the EMAC-based analyses of the publication: Nützel, M., Stecher, L., Jöckel, P., Winterstein, F., Dameris, M., Ponater, M., Graf, P., and Kunze, M.: Updating the radiation infrastructure in MESSy (based on MESSy version 2.55), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2140, 2023. This manuscript was accepted for publication in GMD. A short explanation of the archived data is presented in the accompanying README ("data_README_egusphere-2023-2140").
DOI: 10.5281/zenodo.1127694
title: Zimbabwe Social Contact Data

description: Social contact data for Zimbabwe
description: {"references": ["Melegaro A, Del Fava E, Poletti P, Merler S, Nyamukapa C, et al. (2017) Social Contact Structures and Time Use Patterns in the Manicaland Province of Zimbabwe. PLOS ONE 12(1): e0170459. https://doi.org/10.1371/journal.pone.0170459"]}
DOI: 10.5281/zenodo.1165562
title: Social Contact Data For Hong Kong

description: Social contact data for Hong Kong.
description: {"references": ["Scientific Report, Volume 7, Article number: 7974 (2017) doi:10.1038/s41598-017-08241-1"]}
DOI: 10.5285/1159923a-e983-2bb1-e063-6c86abc061b9
title: Daily Colour and Intensity Georeferenced Orthophotos of the Cliff and Beach at Happisburgh, Norfolk, UK (April-December 2019) version 2.

description: This dataset contains georeferenced orthophotos collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 9 months (April 6, 2019 to December 23, 2019). The dataset contains 190 colour images and 190 intensity images in GEOTIFF format. The orthophotos are produced by projection of LiDAR (Light Detection And Ranging) scans of the coastal stretch. There are 190 images out of a possible 262 days, since only days when scans were performed from two locations are included, which did not happen every day due to weather conditions. The orthophotos are point-cloud renders of the scan data created using ScanLAB's proprietary point-cloud rendering engine. The colour orthophotos are rendered using the colour information projected onto the scan during post-process colourisation. The intensity orthophotos are rendered using the intensity data for each scan. The orthophotos are rendered using an orthographic virtual camera which frames the useful extents of the scan data and is orientated such that the rendered orthophoto is "north-up". The orthophotos are georeferenced using pythons GDAL library and ground-truth GPS measurements taken at the two TLS positions onsite. The procedure for this follows; 1) the ground-truth GPS positions were converted from OSGB 1936 / British National Grid to Latitude and Longitude., 2) The pixel resolution of the orthophotos was calculated from the pixel position of the two TLS in the orthophotos and the two ground truth GPS positions., 3) The GPS position of the top left pixel of the orthophoto was calculated using pixel position of a TLS and the pixel resolution., 4) A python script using the GDAL library applied the GPS metadata to the orthophoto and saved it in GEOTIFF format. These data were collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. This research was funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project). The on-location LiDAR Scanning and Technical R&D operated by ScanLAB Projects Ltd was funded by Innovate UK's Audience of the Future Program (Multiscale 3D Scanning with Framerate for TV and Immersive Applications project). The first 6 months of LiDAR scans (April to September 2019) were funded by Innovate UK, and this project was continued by the NERC BLUE-coast funding for the last 3 months (October to December 2019). The files were re-submitted and this DOI represents the second version of the data.
DOI: 10.5285/11e55bd0-782d-5013-e063-6c86abc043bb
title: Daily Transects and Areas from Light Detection and Ranging (LiDAR) scans of an eroding soft cliff at Happisburgh, UK (April-December 2019).

description: This dataset contains 236 transects and areas point-cloud elevation and colour intensity data collected daily along a 450 metre coastal stretch at Happisburgh, UK, over a time span of 9 months (April 6, 2019 to December 23, 2019). Included are subsets of these point-clouds, named transects and grids. Scans were taken approximately daily, and on some days only one scanner was run resulting in half-size scans. A single FARO S350 LiDAR scanner was placed at two fixed locations on the beach, spaced 178 metres alongshore and between 30 to 40 metres from the 10 metre high cliff. The duration of the scanning at each location was around 30 minutes. These data were collected to better understand the dynamic of beach-cliff and shore platform interaction along soft cliffed coasts. The shapefiles of the transects and areas are also included for a more complete description. ScanLAB Projects Ltd were responsible for the collection of the data, along with the British Geological Survey (BGS), funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project).
DOI: 10.5285/14dd5580eab9410fb3696340711b1d67
title: Modelled Nearshore Wave Conditions, Happisburgh, UK (March to December 2019).

description: LiDAR (Light Detection And Ranging) images and model output from cliffs at Happisburgh, Norfolk, UK, 2019, from BLUE-coast and ScanLAB projects.
description: This dataset contains outputs from the SWAN (Simulated Waves Nearshore) model, which propagates wave conditions to the nearshore. The outputs are compressed into netcdf files, and contain time series of hourly sea states at the study site including wave height, direction, energy dissipation, and peak period. The latitude and longitude of the south-west grid corner is latitude 52.772629, longitude 1.344987. The series are given hourly, from (March 23, 2019-December 31, 2019) inclusive. These data are validated against an offshore buoy. The full year’s series is split into smaller time periods, numbered from 8 to 25. The data are given on a 26 km x 26 km grid, the coarse grid has a resolution of 0.1 km (matrix size 261x261), and the nested grid has a resolution of 10 m (matrix size 601x401). The hourly times corresponding to each variable is contained in an accompanying .csv file. The SWAN model was forced with bathymetry from the OceanWise 1 Arc Second Digital Elevation Model, and climate conditions from the ERA5 dataset. The data was collected to provide corresponding wave conditions to the LiDAR (Light Detection And Ranging) scans, to help determine the relationship between the wave conditions and the behaviour of the foreshore. The British Geological Survey (BGS) and Nottingham University were responsible for processing the model data, funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project) and NERC’s ENVISION Doctoral Training Programme (NE/S007423/1).
DOI: 10.5067/iss/sageiii/solar_binary_l2-v5.1
title: SAGE III/ISS L2 Solar Event Species Profiles (Native)
DOI: 10.6084/m9.figshare.25765326
title: Transmittance data of the linear variable filter

description: Transmittance data of the linear variable filter, LVF (LF103252; Manufacturer: Delta Optical Thin Film). This filter is capable to detect wavelength range between 450 to 850 nm within a length of nearly 23 mm. The manufacturer guarantees the described central (working) region. The entire coated length of the LVF substrate is longer. The data contains measured transmittance for 27.5 mm of LVF lenghts (lateral measurement steps: 0.5 mm). Correspondent central wavelengths of the transmittance peaks are ranging from approx. 411 to 861 nm. Several defect measurements points were corrected or deleted to not affect the simulation results (e.g., point 27.0 mm was deleted). For consistency, the entire transmittance table is presented in its original version.
DOI: 10.15129/247fc33b-9893-4f22-a515-bacb284819f0
title: Data for: "High-efficiency coupled-cavity optical frequency comb generation"

description: Dataset for High-efficiency coupled-cavity optical frequency comb generation article. This dataset contains the experimental data in .csv format which was created for the purposes of publishing the "High-efficiency coupled-cavity optical frequency comb generation" article in Optics Continuum.
DOI: 10.15129/bf3d7171-0b9e-430d-8acf-5e00de12db16
title: Data for “Demonstration of quantum-enhanced rangefinding robust against classical jamming”

description: This dataset contains data presented in figures in the paper "Demonstration of quantum-enhanced rangefinding robust against classical jamming". Data for each figure are stored in comma separated files, with labelled column headers and provided with a comprehensive readme file.
DOI: 10.5258/soton/d2738
title: Dataset for the article 'Predictive visualisation of high repetition rate femtosecond machining of silica using deep learning'

description: This dataset contains:

&lt;FIGURE 1 figure image and associated data for height map&gt;
fig1.png
fig1_height_map_data.npz

&lt;FIGURE 2&gt;
fig2.png

&lt;FIGURE 3 figure image and associated data&gt;
fig3.png
fig3_part_a.txt
fig3_part_b.txt

&lt;FIGURE 4 figure image and associated data for predicted and test power&gt;
fig4.png
fig4_predicted_power.txt
fig4_test_power.txt

&lt;FIGURE 5 figure image and associated data for power and RMSE&gt;
fig5.png
fig5_power.txt
fig5_RMSE.txt

&lt;FIGURE 6 figure image and associated data for power values&gt;
fig6.png
fig6_power_values.txt