cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28730417
title: Supplementary Material for: From retinal vasculitis to stroke, from systemic findings to diagnosis, the necessity of multidisciplinary management in Behcet’s Disease: A Case Report

description: Introduction
Behçet's disease (BD) is a rare, chronic multisystem disorder characterized by occlusive vasculitis, which can present with a variety of systemic and ocular manifestations. The diagnosis of BD is often challenging, particularly in populations with low prevalence. Retinal vasculitis and stroke can be key indicators, and early involvement of a multidisciplinary team is essential for accurate diagnosis and management to prevent long-term complications.
Case Presentation
A 40-year-old African American female presented with vision changes in her left eye and a history of multiple strokes. Examination revealed retinal ischemia and vasculitis, raising suspicion for an underlying systemic condition. Extensive workup for infectious and inflammatory causes was negative. As her condition progressed, the patient developed genital ulcers, prompting further investigation. A biopsy of the genital ulcer confirmed BD, and a multidisciplinary approach involving ophthalmology, rheumatology, and neurology was initiated. The patient was treated with high-dose corticosteroids, immunosuppressive therapy, and intravitreal corticosteroids, leading to stabilization of her ocular and systemic symptoms. Despite her history of stroke, the collaboration between specialties facilitated better management of her condition and prevention of further complications.
Conclusion
It's crucial to include BD as a potential diagnosis in cases of ophthalmic or systemic vasculitis, even in regions and populations with low prevalence. Early referral to a rheumatologist for cases of vasculitis and timely collaboration are essential for accurate diagnosis, prevention of systemic complications, and appropriate management.
DOI: 10.6103/share.jep.710
title: SHARE Job Episodes Panel
DOI: 10.7909/c3wd3xh1
title: Southern California Earthquake Data Center
DOI: 10.15468/3zyorf
title: Rhodolith Beds in Northern New Zealand: Characterisation of Associated Biodiversity

description: The ecology of subtidal rhodolith beds has been investigated for the first time in New Zealand, characterising two rhodolith species, Lithothamnion crispatum and Sporolithon durum, examining the structure and physical characteristics of beds at two locations and documenting their associated biodiversity. Site and characteristics: Field work was conducted in the Bay of Islands, at Kahuwhera Bay and Te Miko Reef, in February and September 2010. The rhodolith beds were mapped using a combination of techniques and the physical characteristics of the habitats were assessed and compared with adjacent areas outside the rhodolith beds. The rhodolith beds differed significantly in terms of water motion, sediment characteristics and light levels, with Te Miko Reef having characteristics regarded as typical of rhodolith assemblages, and Kahuwhera Bay being atypical with respect to sediments and water clarity. The Te Miko Reef bed was in clear water and rhodoliths were clearly visible sitting on top of the substrate in a more or less single layer over rhodolith- and shell-derived gravel, whereas at Kahuwhera Bay there were fine sediments suspended in the water column and covering rhodoliths and associated biota, and live rhodoliths were in a more or less single layer overlaying grey to blackened rhodoliths in a darkly coloured rhodolith/sediment sublayer. The two rhodolith beds differed in current direction and strength with no clear tidal signal or direction of water motion at Kahuwhera Bay and tidally driven water movement at Te Miko Reef with a dominant northwest flow. This Rhodolith Beds in Northern New Zealand: Characterisation of Associated Biodiversity dataset is made available under the Creative Commons Attribution 4.0 New Zealand Licence http://creativecommons.org/licenses/by/4.0/nz/. If you publish, distribute, or otherwise disseminate this work to the public without adapting it, the following attribution to MPI should be used: “Source: Ministry for Primary Industries (MPI) and licensed by MPI for re-use under the Creative Commons Attribution 3.0 New Zealand licence." If you adapt this work in any way or include it in a collection, and publish, distribute, or otherwise disseminate that adaptation or collection to the public, the following attribution to MPI should be used: "This work is based on/includes MPI’s data which are licensed by the Ministry for Primary Industries (MPI) for re-use under the Creative Commons Attribution 4.0 New Zealand licence."
DOI: 10.15468/dl.yku9z9
title: Occurrence Download

description: A dataset containing 240757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Artportalen (Swedish Species Observation System)",
 "Geometry POLYGON((4.02731 61.80615,-12.70149 58.08722,-13.32108 49.32586,-12.70149 35.71281,1.54898 38.67349,13.3211 35.71281,25.09322 45.12115,20.75612 58.73628,31.90866 67.60535,18.27778 70.89154,4.02731 61.80615))",
 "HasGeospatialIssue is false",
 "TaxonKey is Odonata"
 ]
}

 The dataset includes 240757 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014782-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.942069
title: HaNi: A Historical dataset of Anthropogenic Nitrogen Inputs to the terrestrial biosphere (1860-2019)

description: Excessive anthropogenic nitrogen (N) inputs to the biosphere have disrupted the global nitrogen cycle. To better quantify the spatial and temporal patterns of anthropogenic N enrichments, assess their impacts on the biogeochemical cycles of the planet and other living organisms, and improve nitrogen use efficiency (NUE) for sustainable development, we develop a comprehensive and synthetic dataset for anthropogenic N inputs to the terrestrial biosphere. This Harmonized Anthropogenic N Inputs (HaNi) dataset takes advantage of different data sources in a spatiotemporally consistent way to generate a set of high-resolution gridded N input products from the preindustrial to present (1860-2019). The HaNi dataset includes annual rates of synthetic N fertilizer, manure application/deposition, and atmospheric N deposition in cropland, pasture, and rangeland at 5-arcmin. Specifically, the N inputs are categorized, according to the N forms and the land use, as 1) NH4-N fertilizer applied to cropland, 2) NO3-N fertilizer applied to cropland, 3) NH4-N fertilizer applied to pasture, 4) NO3-N fertilizer applied to pasture, 5) manure N application on cropland, 6) manure N application on pasture, 7) manure N deposition on pasture, 8) manure N deposition on rangeland, 9) NHx-N deposition, and 10) NOy-N deposition. The total anthropogenic N (TN) inputs to global terrestrial ecosystems increased from 29.05 Tg N yr-1 in the 1860s to 267.23 Tg N yr-1 in the 2010s, with the dominant N source changing from atmospheric N deposition (before the 1900s) to manure N (the 1910s-2000s), and to synthetic fertilizer in the 2010s. The proportion of synthetic NH4-N fertilizer increased from 64% in the 1960s to 90% in the 2010s, while synthetic NO3-N fertilizer decreased from 36% in the 1960s to 10% in the 2010s. Hotspots of TN inputs shifted from Europe and North America to East and South Asia during the 1960s-2010s. Such spatial and temporal dynamics captured by the HaNi dataset are expected to facilitate a comprehensive assessment of the coupled human-earth system and address a variety of social welfare issues, such as climate-biosphere feedback, air pollution, water quality, and biodiversity.
DOI: 10.1594/pangaea.950236
title: Daily high-resolution temperature and precipitation fields for Switzerland from 1763 to 2020

description: This dataset provides high-resolution (1km x 1km), daily reconstructions of temperature and precipitation fields for Switzerland from 1763 to 2020. The fields are reconstructed using the analog resampling method and subsequent data assimilation for temperature and quantile mapping for precipitation. The dataset consists of two subperiod: (1) an update of the reconstructions provided by Pfister (2019) (doi:10.1594/PANGAEA.907579) for the period 1864 to 2020 with the higher resolution grid and extending to 2020, and (2) a new reconstruction for the period 1763 to 1863 for which so far no reconstruction existed. The dataset for 1864 to 2020 is reconstructed based on observational data from the Swiss meteorological service with a high quality and dense station network. The reconstruction for the early period from 1763 to 1863, is based on early instrumental measurements of temperature, pressure, precipitation, and precipitation occurrence that have been rescued in various projects. Observations entering the reconstruction for the early period are much more scarce and their quality is lower. We recommend to notice this when using the reconstructions. For further information about the dataset, please refer to the Imfeld et al. (in review).
DOI: 10.1594/pangaea.971495
title: High-resolution time-series data of biogeochemical and physical parameters in a mangrove tidal creek

description: Hourly variation of salinity, depth, current velocity, temperature, dissolved oxygen, carbon dioxide, methane, nitrous oxide, radon, pH, rainfall, and wind speed during a complete neap-to-spring tidal cycle in a mangrove tidal creek. Field observations were conducted in a mangrove creek draining to Camamu Bay in tropical Brazil. The mangrove tidal creek (13°53'48.8S 39°02'57.6W) is situated in a pristine island without anthropogenic disturbances nor upstream river inputs. The mangrove creek intertidal catchment (0.86 km2) covers 16% of the island area. A time series station was deployed in a vessel moored in the mouth of a mangrove tidal creek from 4-15th of December 2023 to capture neap to spring tidal cycles. Depth and current velocities were measured using an ADCP (Nortek ECO) deployed on the bottom of the creek. Calibrated salinity and temperature (Solinst Levelogger 5), dissolved oxygen (PME miniDOT) and pH (Onset HOBO pH logger) probes were attached to the vessel at 0.5 m depth. A submergible water pump was installed from the vessel at 0.5 m below the surface to continuously transport surface mangrove creek water into a RAD AQUA showerhead gas equilibrator. The headspace air was pumped to a Drierite® desiccant, then into an automated radon (222Rn) detector (RAD7, DURRIDGE), and finally through CO2/CH4 (LI-COR 7810) and N2O (LI-COR 7820) trace gas analyzers (LI-COR, Biosciences) connected in series in a closed air loop. The greenhouse gas analyzers produced high-precision measurements every second using optical feedback-cavity enhanced absorption spectroscopy (OF-CEAS). The radon analyzer (RAD7) uses high resolution alpha spectroscopy. Atmospheric data (wind speed and precipitation) were obtained from local meteorological stations (A401 and A410), operated by the Brazilian Institute of Meteorology (INMET, https://bdmep.inmet.gov.br/). All datasets were smoothed to 1 hour time steps to enable comparisons across all variables.
DOI: 10.17189/1519745
title: MAG CALIBRATED (CDR) DATA E/V/H/SW V1.0
DOI: 10.17632/2mmwv3j4ms.1
title: Daily air pollution and meteorological data Budapest, 2007

description: Combined meteorological and air-pollutant data. The data were recorded at Erzsébet Square (in the city) in Budapest in 2007. The data were daily averages. The air-pollutant data were public ones of the automatic measures of the Hungarian Air Quality Network [1]. The meteorological data were collected by Prof. Imre Salma [2]. The following data were collected for each day of year 2007. The data are put on Mendeley Data by Gergely Tóth with the permission of Prof. Imre Salma. The data has been used in some data evaluation studies up to now [3-4]. 
number of rows: 365
number of columns: 16
Calendar data: date, Julian day, day
Meteorological data: precipitation (mm), daily average wind speed (m/s), height of mixing layer of the air (m), barometric pressure (hPa), humidity (%), daily average , temperature (OC), solar radiation (W/m2); 
concentration of air pollutants: PM10, O3,SO2,NO2,NOx,CO
[1] Hungarian Air Quality Network, http://www.levegominoseg.hu, later it has been transported to http://legszennyezettseg.met.hu/
[2] Institute of Chemistry, Eötvös Loránd University, H-1117 Budapest, Pázmány s. 1/a, Hungary, imre.salma@ttk.elte.hu
[3] Toth, G ; Balogh, B, How to identify cross correlations: a statistical test with time lag and its application on air-pollutant time series, JOURNAL OF CHEMOMETRICS 26 : 3-4 pp. 125-133. , 9 p. (2012)
[4] Király, Péter ; Kiss, Ramóna ; Kovács, Dániel ; Ballaj, Amine ; Tóth, Gergely, The relevance of goodness-of-fit, robustness and prediction validation categories of OECD-QSAR principles with respect to sample size and model type. MOLECULAR INFORMATICS 41 : 11 pp. 37-46. Paper: 2200072, 10 p. (2022)
DOI: 10.18462/iir.icr.2019.0306
title: Design and application of a novel cold chain pallet using a phase change material.
DOI: 10.21227/q70p-q449
title: IoT network intrusion dataset

description: We created various types of network attacks in Internet of Things (IoT) environment for academic purpose. Two typical smart home devices -- SKT NUGU (NU 100) and EZVIZ Wi-Fi Camera (C2C Mini O Plus 1080P) -- were used. All devices, including some laptops or smart phones, were connected to the same wireless network. The dataset consists of 39 raw network packet files (pcap) at different time points.* The packet files are captured by using monitor mode of wireless network adapter. The wireless headers are removed by Aircrack-ng.* All attacks except Mirai Botnet category are the packets captured while simulating attacks using tools such as Nmap. The case of Mirai Botnet category, the attack packets were generated on a laptop and then manipulated to make it appear as if it originated from the IoT device.
DOI: 10.24381/cds.50314f4c
title: ERA5 post-processed daily statistics on pressure levels from 1940 to present
DOI: 10.24381/cds.dcc9295c
title: Marine biogeochemistry data for the Northwestern European shelf and Mediterranean sea from 2006 up to 2100 derived from climate projections
DOI: 10.25346/s6/y4f9lj
title: Flatifiles and Related Digital Products for the Fault Displacement Hazard Initiative Database

description: The contents of the Fault Displacement Hazard Initiative (FDHI) Database are provided as set of flatfiles in three formats as a convenience to end-users: comma-separated (CSV) files, Esri shapefiles, and Google Earth KMZ files. Each format contains separate files for different data geometries: mapped surface ruptures are lines and fault displacement measurement sites are points. The reference line (ECS) axes that serve as the basis for the event-specific coordinates are provided separate from the rupture and measurement data. Eight files are included in the download: 01_FDHI_FLATFILE_DEFINITIONS.xlsx– This file defines the columns in the measurements, ruptures, and ECS files. 02_FDHI_FLATFILE_MEASUREMENTS.csv– Fault displacement measurement data and metadata in CSV format. 03_FDHI_FLATFILE_RUPTURES.csv– Mapped surface rupture data and metadata in CSV format. 04_FDHI_FLATFILE_ECS.csv– Event coordinate system reference lines and metadata in CSV format. 05_FDHI_FLATFILE_MEASUREMENTS.shp.zip– Fault displacement measurement data and metadata in Esri shapefile format. 06_FDHI_FLATFILE_RUPTURES.shp.zip– Mapped surface rupture data and metadata in Esri shapefile format. 07_FDHI_FLATFILE_ECS.shp.zip– Event coordinate system data and metadata in Esri shapefile format. 08_FDHI_Event_KMZ.zip– Data and metadata for fault displacement measurements, mapped surface ruptures, and event coordinate systems in one KMZ file.
DOI: 10.48670/moi-00170
title: Mediterranean Sea - High Resolution Diurnal Subskin Sea Surface Temperature Analysis
DOI: 10.5066/f7tx3cfw
title: Data related to a ground-based InSAR survey of the Slumgullion landslide, Hinsdale County, Colorado, 26 June 2010-1 July 2010

description: We performed a ground-based, interferometric, synthetic aperture radar (InSAR) survey of the Slumgullion landslide located in Hinsdale County, Colorado. The survey was performed 26 June 2010-1 July 2010 and utilized the IBIS-L InSAR system developed by IDS Corporation. Radar measurements were supplemented by hourly in-situ displacement, pore-water pressure, and rainfall measurements. In-situ displacement was measured using electronic cable extension transducers (extensometers) at three locations and GPS surveying at one location. Pore-water pressures were measured at three locations using electronic vibrating-wire pressure transducers (piezometers). Rainfall was measured at one location using a tipping-bucket rain gage. Georeferenced InSAR data were obtained as cumulative line-of-sight displacement of points on and off of the landslide, and in-situ displacement data were obtained as cumulative displacement parallel to the radar line of sight. InSAR data were obtained continuously (hourly) throughout the survey period while in-situ data were obtained sporadically but generally on an hourly basis. These data are associated with a study described in Schulz, W.H., Coe, J.A., Ricci, P.P., Smoczyk, G.M., Shurtleff, B.L., and Panosky, J., 2017, Landslide kinematics and their potential controls from hourly to decadal timescales: Insights from integrating ground-based InSAR measurements with structural maps and long-term monitoring data: Geomorphology, doi:10.1016/j.geomorph.2017.02.011.
DOI: 10.5066/p9j8bbq3
title: Percentage of annual days that river stage exceeds 'open river' conditions for lock and dams on the Upper Mississippi River, 1985-2015
DOI: 10.5067/v92o8xz30xbi
title: MERRA-2 instM_3d_ana_Np: 3d,Monthly mean,Instantaneous,Pressure-Level,Analysis,Analyzed Meteorological Fields V5.12.4
DOI: 10.5281/zenodo.10021513
title: OpenITI: a Machine-Readable Corpus of Islamicate Texts; Primary Version

description: This is a partial release of the data in the OpenITI corpus. Whereas the main release of the corpus often contains multiple digital versions of the same text, this release contains a single digital version for each text in the corpus (the version marked as "primary" (PRI) in the corpus metadata).


The version numbers corresponds to the versions of the main releases.
DOI: 10.5281/zenodo.11459391
title: A global database of nature-based carbon offset project boundaries

description: Overview

Nature-based climate solutions (NBS) have become an important component of  strategies aiming to reduce atmospheric CO2 and mitigate climate change impacts. Carbon offsets have emerged as one of the most widely implemented NBS strategies, however, these projects have also been criticized for exaggerating offsets. Verifying the efficacy of NBS-derived carbon offset is complicated by a lack of readily available geospatial boundary data. Herein, we detail methods and present a database of nature-based offset project boundaries. This database provides the locations of 575 NBS projects distributed across 55 countries. Geospatial boundaries were aggregated using a combination of scraping data from carbon project registries  (n=433, 75.3%) as well as manual georeferencing and digitization (n=127, 22.1%). Database entries include three varieties of carbon projects: avoided deforestation, afforestation, reforestation and re-vegetation, and improved forest management. An accuracy assessment of the georeferencing and digitizing process indicated a high degree of accuracy (intersection over union score of 0.98 +/- 0.015).

Details about using the database are provided in the README.txt file.
DOI: 10.5281/zenodo.13866430
title: Ground penetrating radar (GPR) monitoring of a densely gridded survey field in the Lower Muschelkalk of a limestone quarry in Rüdersdorf near Berlin, Germany 2023/24

description: Surface Ground Penetrating Radar (GPR) was used on the exposed limestone of a quarry to monitor a survey field of densely spaced profiles on three dates (in October 2023, December 2023 and February 2024). The different moisture conditions of these survey dates can be evaluated with linked detailed weather data (10.5281/zenodo.13867069). A time-depth conversion using CMP data to calculate the EM wave velocity suggested a GPR penetration depth of approximately 4 metres. The measurements were planned, carried out and analysed in the context of a Master's thesis on the potential of GPR to investigate the hydrodynamics of carbonate rocks relevant to groundwater recharge processes.
DOI: 10.5281/zenodo.14061030
title: Dataset for paper Sub-auroral Heating at Jupiter Following a Solar Wind Compression

description: A companion dataset for the paper "Sub-auroral Heating at Jupiter Following a Solar Wind Compression". This repository contains 360x180 maps (IDL .sav arrays) of fitted H3+ parameters temperature, density and emission (along with corresponding uncertainties) cast in Jupiter System III longitude (360 to 0 degrees) and planetocentric latitude (-90 to 90 degrees). It also contains the fitted location of the sub-auroral hot feature in longitude and latitude, including uncertainties, together with its magnetically-mapped radial distance in Jupiter's equatorial plane. Longitude/latitude maps of H3+ parameters and their uncertainties (360x180 arrays)H3+ Temperature: H3p_fits_jan25_2x2_Tactual.savH3+ Temperature uncertainties: H3p_fits_jan25_2x2_dTactual.savH3+ Density H3p_fits_jan25_2x2_Nactual.savH3+ Density uncertainties: H3p_fits_jan25_2x2_dNactual.savH3+ Radiance: H3p_fits_jan25_2x2_Eactual.savH3+ Radiance uncertainties: H3p_fits_jan25_2x2_dEactual.savHot feature location data with uncertainties Hot feature longitude and latitude: lon_lat_pairs.txtHot feature longitude and latitude upper uncertainty: lon_lat_pairs_upper.txt Hot feature longitude and latitude lower uncertainty: lon_lat_pairs_lower.txt Hot feature mapping to the equatorial plane, with uncertainties: combined_rj_values_errs.txt
DOI: 10.5281/zenodo.14614739
title: An improved long-term high-resolution surface pCO2 data product for the Indian Ocean using machine learning

description: This dataset contains two improved surface pCO2 products, along with surface pCO2  from the INCOIS-BIO-ROMS model (pCO2_model) and other input variables. It is a long-term, high-resolution dataset developed for the Indian Ocean region (30°E - 120°E, 30°S - 30°N), covering the period from 1980 to 2019. The dataset features a monthly temporal resolution and a spatial resolution of 1/12 degree.

 The file includes INCOIS-BIO-ROMS model outputs (sea surface temperature (SST), sea surface salinity (SSS), mixed layer depth (MLD), nitrate (NO3), dissolved inorganic carbon (DIC), and chlorophyll-a (CHL)). These variables are used as inputs for machine learning models to improve the pCO2_model. The machine learning model predicts the surface pCO2 deviants (pCO2_obs - pCO2_model). The file also provides spatiotemporally varying uncertainties associated with the predicted pCO2 deviants.

**Users are advised to download Version v2 of the data product, as Version v1 has been deprecated and is no longer recommended for use.
DOI: 10.5281/zenodo.14621338
title: Grain size, color reflectance and magnetic susceptibility data from core DY-1 in the Datong Basin, north China

description: Linear-interpolation time scale for the series are added for consideration
DOI: 10.5281/zenodo.14726292
title: Kanpig Structural Variants Genotyping Benchmark from HPRC Dipcall

description: Structrual variants ≥50bp on GRCh38. Variants created using dipcall. Each sample has a `sample.vcf.gz` of variants and `sample.hq.bed` of high confidence regions.