Find research datasets worth reusing

Datasets for "Observation of universal Hall response in strongly interacting Fermions"

This submission includes the datasets shown in the figures of journal article "Observation of universal Hall response in strongly interacting Fermions" by T.-W. Zhou et al., Science (2023). The naming of the files corresponds to the figure numbering in the published article: FIG-x for figures in the main text FIG-Sxx for figures in the Supplementary Materials

GCNT-Plume: Long-term observation of global nuclear power plants thermal plumes using Landsat images and deep learning

This repository contains the relevant code and data for the paper Long-term observation of global nuclear power plants thermal plumes using Landsat images and deep learning (Wei et al, 2023, Remote Sensing of Environment). Specifically, the U-Net.zip file includes the associated codes for segmenting surface thermal plumes from nuclear power plants along the global coasts and the Great Lakes by using the U-Net model integrated with prior knowledge. The GCNT-Plume.zip file includes the occurrence footprints of core area plumes (the occurrence_all folder), raw water temperature increment (WST) images (the delta folder), mixed area plumes and annotations (the extractWithLocation folder), model-predicted core area plumes (the prediction*_* folders), the mixed/core area plumes and background areas in shapefile format (the sampleAnnotation* folders), and location information (the location.xlsx table). Please refer to the README.md file in the U-Net.zip file for more detailed information.

Can we collect health-related quality of life information from anticoagulated atrial fibrillation participants who have recently experienced a bleed? An observational feasibility study in primary, and secondary care and through an online forum

The purpose of the study was to evaluate the feasibility of recruiting participants diagnosed with atrial fibrillation (AF) taking oral anticoagulation therapies (OACs) and recently experiencing a bleed to collect health-related quality of life (HRQoL) information. Design Observational feasibility study.  The study aimed to determine the feasibility of recruiting participants with minor and major bleeds, the most appropriate route for recruitment and the appropriateness of the Patient Reported Outcome Measures (PROMs) selected for collecting  HRQoL information in AF patients, and the preferred format of the surveys. Setting Primary care, secondary care, and via an online patient forum. Participants The study population was adult patients (≥ 18) with Atrial Fibrillation (AF) taking oral anticoagulation therapies (OATs) who had experienced a recent major or minor bleed within the last four weeks. Primary and Secondary outcome measures Primary outcome: Patient reported outcome measures (PROMs): EuroQol 5 dimensions-5 levels (EQ-5D-5L); Perception of anticoagulant treatment questionnaire, part 2 only (PACT-Q, part 2); Atrial fibrillation effect on quality of life (AFEQT) Secondary outcomes: Location of bleed; bleed severity; current treatment; patient perceptions of HRQoLin relation to bleeding events. Results We received initial expressions of interest from 103 participants.  We subsequently recruited 32 participants to the study- 14 from primary care and 18 through the AF forum.  No participants were recruited through secondary care.  Despite 32 participants consenting, only 26 initial surveys were completed.  We received follow-up surveys from 11 participants (8 primary care and 3 AF forum).  COVID-19 had a major impact on the study.  Conclusions Primary care was the most successful route for recruitment. Most participants recruited to the study experienced a minor bleed.  Further ways to recruit in secondary care should be explored, especially to capture more serious bleeds.  Registration The study was adopted onto the NIHR Portfolio (I.D. #47771) and registered with www.ClinicalTrials.gov (#NCT04921176) in February 2021. Dataset contains all anonymised data for the participants who completed the survey including demographics, details of bleeds, co-morbidities and completed patient reported outcomes

Observed Rainfall And CMIP6 Data

The gridded rainfall datasets used in this analysis were sourced from the Indian Meteorological Department (IMD). These datasets were collected on a daily basis from 1951 to 2021 and were obtained from the National Climate Centre (NCC) of IMD from the following URL: https://www.imdpune.gov.in/lrfindex.php. The dataset covers the Indian River Basins (IRBs) and has been generated at high resolution by assimilating data from 6955 rain gauge stations spread across the IRBs. For the simulated daily precipitation spanning the years 2021 to 2100, four different Shared Socioeconomic Pathways (SSPs) were considered: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The simulated precipitation outputs were derived from the Coupled Model Intercomparison Project-6 (CMIP6) and were obtained from the following URL: https://esgf-node.llnl.gov/search/cmip6/. All 12 models of CMIP6 were downloaded, specifically using the variant label r1i1p1f1 as an initial condition.

opencc-zeroJul 2023View details →

dryad40/100

Data for: Multi-campaign ship and aircraft observations of marine cloud condensation nuclei, and droplet concentrations

In-situ marine cloud droplet number concentrations (CDNCs), cloud condensation nuclei (CCN), and CCN proxies, based on particle sizes and optical properties, are accumulated from seven field campaigns, ACTIVATE, NAAMES, CAMP2EX, ORACLES, SOCRATES, MARCUS, and CAPRICORN2. Each campaign involves aircraft measurements, ship-based measurements, or both. Measurements are collected over the North and Central Atlantic, Indo-Pacific, and Southern Oceans, representing a range of clean to polluted conditions in various climate regimes. With the large range of environmental conditions sampled, this collection of data is ideal for testing satellite remote detection methods of CDNC and CCN in marine environment. Remote measurement methods are key to expanding the available data, in these difficult to reach regions of the Earth, and improving our understanding of aerosol-cloud interactions. Additional particle composition and continental tracers are included to identify potential contributing CCN source. Several of these campaigns, include both High Spectral Resolution Lidar and polarimetric imaging measurements that will be the basis for the next generation of space-based remote sensors and, thus, can be utilized as satellite surrogates.

Global datasets to evaluate a multi-sensor approach for observation of floods

1. Overview This repository contains datasets used to evaluate potential improvements to flood detectability afforded by combining data collected by Landsat, Sentinel-2, and Sentinel-1 for the first time globally. The datasets were produced as part of the manuscript "A multi-sensor approach for increased measurements of floods and their societal impacts from space" which is currently in review. 2. Dataset Descriptions There are two datasets included here. (a) A global grid of revisit periods of Landsat, Sentinel-1, Sentinel-2 Satellites and their combination [GlobalMedianRevisits.zip] A global dataset of revisit periods of individual satellites and their combination based on a 0.5-degree resolution grid. Revisit periods are defined as the time between two consecutive observations of a particular point on the surface, for the satellite missions Landsat, Sentinel-2  and Sentinel-1. The grid was created using ArcMap 10.8.1 and intersections of the grid were used to create points. For each individual point, average revisit times (i.e., to account for irregular revisits, downlink issues) were calculated for each individual satellite and the composite of the three satellites. Averaged revisit times for each of these points were calculated based on the number of image tiles that intersected a particular grid point with more than a 30-minute time difference between each other acquired between 01 Jan 2016 and 31 Dec 2020. The following equation is used to calculate revisit periods: Average revisit time for a grid point = (Number of days between 01 Jan 2016 and 31 Dec 2020 (1827)) / (Total Number of Images captured) Only revisits occurring between 82.5 N and 55 S of land grid points are considered; Antarctica is omitted from analysis. For satellite missions that consist of two spacecraft orbiting simultaneously (Sentinel-1 A/B, and Sentinel-2 A/B), images acquired by both satellites were used in average revisit period calculation for a given grid point. Sum totals of image tiles of all three missions are used to calculate composite point-based revisit times. (b) Average revisit periods of satellites for flood records in the DFO database [FloodInfo.zip] Average Revisit Times of Landsat, Sentinel-1, Sentinel-2 and their ensemble are calculated for 5130 flood records in the Dartmouth Flood Observatory's (DFO) flood record database. These were appended to the already existing attributes of the database.

opencc-by-4.0Mar 2023View details →

Data set for manuscript 'Quantifying geomorphically effective floods using satellite observations of river mobility'

Data underlying the plots / used in the modelling work for the paper 'Quantifying geomorphically effective floods using satellite observations of river mobility', submitted to Geophysical Review Letters.

opencc-byJul 2023View details →

The daily gridded precipitation observations (0.5° × 0.5°) in central and eastern China (1961-2021)

The daily observed gridded precipitation data were obtained from the China Meteorological Data Service Center (<a href="http://www.nmic.cn/en">http://www.nmic.cn/en</a>) on 04-08-2021 but are currently not available at this website. These data have 128 columns and 72 rows with longitude and latitude starting from 72°E and 18°N, respectively. Spatial resolution is 0.5°×0.5°. Here, we provide these data during 1961-2021 in two study regions: central China (111°-116°E, 32°-37°N) and eastern China (118°-123°E, 28°-34°N). To make it easier for everyone to reuse the data, we select these data with adding two degrees in each direction of two regions. The selected data have 19 columns and 19 rows (21 columns and 19 rows) in central (eastern) China with the grid center's longitude and latitude ranging from (109°-118°E, 30°-39°N) to (116°-125°E, 26°-36°N).

opencc-by-4.0Aug 2023View details →

Data sets for "On new two-dimensional UHF radar observations of equatorial spread F at the Jicamarca Radio Observatory" by Rodrigues et al.

AMISR-14 data set used in the study entitled "On new two-dimensional UHF radar observations of equatorial spread F at the Jicamarca Radio Observatory" by Rodrigues et al. and published by Earth, Planets and Space, doi: 10.1186/s40623-023-01876-7.

opencc-by-4.0Aug 2023View details →

Fulldome video about the effects of observer position on celestial observations

Fulldome video that demonstrates effects of the observer position on different kinds of astronomical observations: which stars are visible, the position of the stars, the times that the stars rise and set, and analogous effects for the Sun. Produced in collaboration with CeSDA (Italy) and NOESIS (Greece)

opencc-by-4.0Jun 2023View details →

Fifty years of instrumental surface mass balance observations at Vostok Station, central Antarctica

The database of snow buildup, density and accumulation rate values as observed at the accumulation-stake farms in the vicinity of Vostok station (central East Antarctica) since January 1970. The reference for the data: Ekaykin A.A., Lipenkov V.Ya., Tebenkova N.A. Fifty years of instrumental surface mass balance observations at Vostok Station, central Antarctica. - J. of Glaciology, 2023, 1–13. https://doi.org/10.1017/jog.2023.53.

opencc-by-4.0Sep 2023View details →

Observation and control of hybrid spin-wave–Meissner-current transport modes

Dataset accompanying the manuscript "Observation and control of hybrid spin-wave-Meissner-current transport modes" (https://arxiv.org/pdf/2307.07581.pdf).

opencc-by-4.0Sep 2023View details →

Fermi-GBM and Swift-BAT Data Release Related to Analysis of Gravitational-Wave Candidates from the Third Gravitational-wave Observing Run

This material contains the data products associated with A Joint Fermi-GBM and Swift-BAT Analysis of Gravitational-Wave Candidates from the Third Gravitational-wave Observing Run [1]. It is based, in part, on data products associated with GWTC-2.1 [2][3] and GWTC-3 [4][5] from the <a href="https://www.ligo.org/">LIGO</a> Scientific Collaboration, the <a href="https://www.virgo-gw.eu/">Virgo</a> Collaboration, and the <a href="https://gwcenter.icrr.u-tokyo.ac.jp/en/">KAGRA</a> Collaboration provided under a Creative Commons Attributional 4.0 International license. For more information, see the paper (<a href="https://arxiv.org/abs/2308.13666">https://arxiv.org/abs/2308.13666</a>) and the included README.txt. The data release includes the following directories: <ul> <li>3sigma_upper_limit_maps: 3 sigma flux upper limits reported by GBM as a function of sky position over a 10-1000 keV energy range.</li> <li>5sigma_upper_limit_maps: 5 sigma flux upper limits reported by GBM and BAT as a function of sky position over a 15-350 keV energy range.</li> <li>gbm_targeted_results: GRB candidates from the GBM Targeted Search.</li> <li>gbm_temporal_offset_analysis: input files to the time offset analysis applied to GBM on-board triggers and candidates from the GBM Untargeted Search.</li> <li>bbh_model_fluxes: predicted gamma-ray fluxes over the 10-1000 keV energy range for likely BBH mergers.</li> <li>gw_localizations: GW localization files used to overlay the 90% credible area onto GBM upper limits as a function of sky position.</li> <li>m1_m2_contours: 90% credible region paths for the GW component masses m1, m2.</li> </ul> The data release also includes a set of example scripts to show how the contents of the data files are used. Refer to the included README.txt for more details. References: <a href="https://arxiv.org/abs/2308.13666">[1] Fletcher, C. et al 2023, arXiv, 2308.13666</a> <a href="https://doi.org/10.5281/zenodo.6513631">[2] LIGO Scientific Collaboration and Virgo Collaboration. 2022,  Zenodo, 6513631</a> <a href="https://doi.org/10.5281/zenodo.5759108">[3] LIGO Scientific Collaboration and Virgo Collaboration. 2021, Zenodo, 5759108</a> <a href="https://doi.org/10.5281/zenodo.5546663">[4] LIGO Scientific Collaboration and Virgo Collaboration and KAGRA Collaboration. 2021, Zenodo, 5546663</a> <a href="https://doi.org/10.5281/zenodo.5546665">[5] LIGO Scientific Collaboration and Virgo Collaboration and KAGRA Collaboration 2021, Zenodo, 5546665</a>

opencc-by-4.0Sep 2023View details →

Observational datasets for validation of Mediterranean Biogeochemical Copernicus Modelling System, period 2018-2020

Datasets used for the validation of the biogeochemical component of the Mediterranean Analysis and Forecast center of the EU Copernicus Marine Service for the period 2018-2020. The list of datasets includes: 1) the Delay Mode Satellite chlorophyll from https://data.marine.copernicus.eu/product/OCEANCOLOUR_MED_BGC_L3_NRT_009_141/description after interpolation to the 1/24° horizontal resolution, weekly averages and quality check with internal climatology 2) the BGC-Argo float profiles of nitrate, chlorophyll and oxygen from Coriolis DAC (ftp://ftp.ifremer.fr/ifremer/argo; https://doi.org/10.17882/42182#76230) after an internal quality check procedure which is described in Salon et al., 2019.  3) the climatological profiles for 16 subbasins of nitrate, phosphate, silicate, oxygen, DIC, alkalinity, pCO2 and pH computed from the Emodnet 2018 data collection and additional scientific datasets as described in Salon et al., 2019.   Ref.: Salon, S., Cossarini, G., Bolzon, G., Feudale, L., Lazzari, P., Teruzzi, A., Solidoro, C. and Crise, A., 2019. Novel metrics based on Biogeochemical Argo data to improve the model uncertainty evaluation of the CMEMS Mediterranean marine ecosystem forecasts. Ocean Science, 15(4), pp.997-1022.

Fig. 6. The 12 in On Papulifères, putative ciliate cysts of diverse morphologies, with new observations from the plankton of the Chukchi Sea (Arctic Ocean)

Fig. 6. The 12 fusiform (spindle-shaped, and oblong) Fusuposis papuliferid cyst forms found in Chukchi Sea plankton net tow material. The specimens shown in A, B, D, E, I, K, and L are all from the 2022 station 16. Scale bars all represent 50 µm.

Fig. 9 in On Papulifères, putative ciliate cysts of diverse morphologies, with new observations from the plankton of the Chukchi Sea (Arctic Ocean)

Fig. 9. Geographical distribution of the records of the occurrences of Fusopsis in the 155,000 samples collected with the Continuous Plankton Recorder (CPR) across the North Atlantic from 1958 to 1998, adapted from CPR (2004). Note the occurrence records from north of approximately 45°N and into the Arctic waters, in contrast to the absence of records from localities south of about 45°N. The CPR is a plankton sampling device towed by ships of opportunity which provides samples of the plankton of near surface waters captured on a filter gauze of approximately 270 µm mesh. For details see Beaugrand (2004) and CPR (2004). For the history of the device see Dolan (2022).

Fig. 2 in On Papulifères, putative ciliate cysts of diverse morphologies, with new observations from the plankton of the Chukchi Sea (Arctic Ocean)

Fig. 2. The early illustrations of forms, of distinct morphologies, which would later come to be known as Fusopsis, from reports pre-dating Meunier's studies naming them as such. Canu (1893) depicted two forms, A 1, and A 2 (figs. 8 and 9, respectively, in Canu 1893), which he found in plankton net samples from coastal waters of Boulogne-sur-Mer (NW France). Vanhöffen reported finding the form B (Plate 6, fig. 5 in Vanhöffen 1897) in a plankton net samples from a fjord in western Greenland. Wright (1907) illustrated a form (Plate 5, fig. 4 in Wright 1907) that he found in a plankton net sam- ple from the coastal waters on New Brunswick (E. Canada).

Fig. 5 in On Papulifères, putative ciliate cysts of diverse morphologies, with new observations from the plankton of the Chukchi Sea (Arctic Ocean)

Fig. 5. Locations of the sampling sites in the Chukchi Sea where Papulifère forms were found in plankton net tow material gathered during survey cruises in 2015, 2021, and 2022. The sites are numbered I to VII in chronological order of sampling. Details of the sites and sampling are given in Table 2.

Fig. 8 in On Papulifères, putative ciliate cysts of diverse morphologies, with new observations from the plankton of the Chukchi Sea (Arctic Ocean)

Fig. 8. Frequency distributions of the largest dimensions of the two forms found in the greatest abundance. The left panel shows the distribution of 53 specimens of the form shown in Fig. 6E, resembling Meunier's Fusopsis umbracula (Fig. 1B), parsed into size-classes of longest dimension. The right panel shows the distribution of 20 specimens of the form shown in Fig. 7B, resembling Meunier's Sphaeropsis brevisetosa (Fig. 1S), parsed into size-classes of longest dimension. The distributions of the size-classes appears more 'normal' than bi-modal' suggesting that single populations were sampled with wide size-ranges.

Fig. 4 in On Papulifères, putative ciliate cysts of diverse morphologies, with new observations from the plankton of the Chukchi Sea (Arctic Ocean)

Fig. 4. Illustrations of Papulifère forms said to be tintinnid cysts by Reid and John. From Reid and John 1978: A, B, J, K, & L. From Reid and John 1981: C, D, E, F, G, H, & I. Some were given specific designations: B: "cyst type P"; C: "cyst type S"; D: "cyst type T"; E: "cyst type M"; F: "cyst type F"; G: "cyst type Q"; H: "cyst type K; I: "cyst type N"; L: "cyst type O". Some of these specific designa- tions are still in use in the micropaleontology literature (e.g. Mudie et al. 2021a,b)