cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.12770/e84fe404-1ed3-4e6f-9b72-f75cd8eb7f7d
title: WOC North Atlantic 2-D Merged SSH/SST currents

description: This dataset provides a level 4 (L4) gap free reconstruction of 2D ocean surface currents obtained through the combination of altimeter-derived geostrophic currents and satellite sea surface temperature (SST) L4 data. This WOC product uses the standard Altimeter-derived geostrophic currents (Copernicus operational product, ¼°) as background information and extracts additional dynamical information from the spatial and temporal gradients of a higher-resolution (HR) satellite-derived SST field (Copernicus OSTIA product, remapped onto a 1/10° grid). In particular, the patterns found in the HR satellite SST enable to compute correction factors that are assigned to the background geostrophic currents provided by the Altimeter system. The data are available through HTTP and FTP; access to the data is free and open. In order to be informed about changes and to help us keep track of data usage, we encourage users to register at: https://forms.ifremer.fr/lops-siam/access-to-esa-world-ocean-circulation-project-data/ This dataset was generated by CNR (Consiglio Nazionale Ricerche) and is distributed by Ifremer / CERSAT in the frame of the World Ocean Circulation (WOC) project funded by the European Space Agency (ESA).
DOI: 10.1594/pangaea.922242
title: Sentinel-1B WV L2 OCN RVL products collocated with ECMWF and WWIII from December 2017 to January 2018

description: The dataset contains Sentinel-1B Wave Mode (WM) Level 2 Ocean OCN RVL products acquired globally from December 2017 to January 2018. Each product was recalibrated using a novel approach for the satellite attitude bias correction based on the telemetry from the gyroscope operating on board of the satellite. In addition, we provide collocated information about near-surface wind speed and sea state from the ECMWF and WAVEWATCHIII models correspondingly.
DOI: 10.17632/5bvnysv5rv.1
title: Cleanroom_CAD_Model and BOM

description: Design, Development, and Operation of an ISO Class 5 Cleanroom for Planetary Instrumentation and Planetary Protection Protocols
DOI: 10.17864/1947.000490
title: Measurements from the Reading University Atmospheric Observatory, 1997-2023

description: This dataset contains surface meteorological measurements generated by recording instruments operated at the University of Reading Atmospheric Observatory, from 1997 to 2023. Multiple logging systems were developed during this time and used to obtain the meteorological and other associated measurements with accurate time synchronisation. The datafiles provided use a consistent format throughout the interval concerned, with 5-minute average values generated from 1 second samples.
DOI: 10.24432/c5kw38
title: Poker Hand
DOI: 10.5066/p96kf0l2
title: Fiber-optic distributed temperature sensing data collected for improved mapping and monitoring of contaminated groundwater discharges along the upper Quashnet River, Mashpee and Falmouth, Massachusetts, USA 2020

description: In summer in Massachusetts, USA, preferential groundwater discharge zones are often colder than adjacent streambed areas that do not have substantial discharge. Therefore, discharge zones can efficiently be identified and mapped over space using heat as a tracer. This data release contains fiber-optic distributed temperature sensing (FO-DTS) data collected along the streambed interface of the main channel and tributaries of the upper Quashnet River, within approximately 1 km of Johns Pond, from June 14 to June 20, 2020. For these deployments a Salixa XT-DTS control unit (Salixa Ltd, Hertfordshire, UK) was used, and measurements were made over several day increments at 0.508 m linear resolution. Specific locations for collected data are located within the data files, and additional details are contained in the ‘readme’ files within each zipped data directory. Measured data in the form of Salixa instrument files are located in the 'Raw' data directory, including data collected along lengths of optical fiber that were not installed in the streams. The 'Processed' data directory contains data that have been aggregated from the original machine output files, spatially trimmed, and georeferenced. Additionally, simple summary streambed interface temperature statistics (mean, max, min, standard deviation) are listed by streambed location.
DOI: 10.5281/zenodo.11242931
title: Novel Atmospheric Dynamics Shape Inner Edge of Habitable Zone Around White Dwarfs [Dataset]

description: The simulation results on planets orbiting around white dwarfs using ExoCAM. These files are used to make figures and tables in our work "Novel Atmospheric Dynamics Shape Inner Edge of Habitable Zone Around White Dwarfs".
DOI: 10.5281/zenodo.12704275
title: Lake drainage events on St. Lawrence Island (2000-2021)
DOI: 10.5281/zenodo.7117037
title: DISASTER database on hydro-geomorphologic disasters in Portugal

description: In the last century, Portugal was affected by several natural disasters of hydrogeomorphologic origin that often caused high levels of destruction. However, data on past events related to floods and landslides were scattered. The DISASTER project created a consistent and validated hydro-geomorphologic database for Portugal, by creating, disseminating and exploiting a GIS database on disastrous floods and landslides for the period 1865–2010, further updated until 2020. Data collection was steered by the concept of disaster used within the DISASTER project. Therefore, any hydro-geomorphological case is stored in the database if the occurrence led to fatalities or injuries, and missing, evacuated or displaced people, independently of the number of people affected. The sources of information are 16 national, regional and local newspapers that implied the analysis of 145,344 individual newspapers. The hydro-geomorphologic occurrences were stored in a database containing two major parts: the characteristics of the hydro-geomorphologic case and the corresponding damages. We provide the main results of the DISASTER database for the public. Further details about the data collection and exploitation can be found in the following paper: Zêzere, J.L., Pereira, S., Tavares, A.O. <em>et al.</em> DISASTER: a GIS database on hydro-geomorphologic disasters in Portugal. <em>Natural Hazards</em> <strong>72</strong>, 503–532 (2014). https://doi.org/10.1007/s11069-013-1018-y We provide a shapefile with the location of the hydro-geomorphological hazard for the period 1865-2020 for mainland Portugal and additional details about the hydrogeomorphological hazard type and subtype, date of occcurrence, year, month, day, hour, georeferencing quality, source, source date, source type, page in the source, number of human damages (fatalities, injured, evaciated, displaced and missing people), district, municipality and parish. Also, we provide a word document with the database codes description.
description: {"references": ["Z\u00eazere, J.L., Pereira, S., Tavares, A.O. et al. DISASTER: a GIS database on hydro-geomorphologic disasters in Portugal. Nat Hazards 72, 503\u2013532 (2014). https://doi.org/10.1007/s11069-013-1018-y"]}
DOI: 10.5281/zenodo.7738093
title: Hourly Air Temperature Datasets from city of Novi Sad - NSUNET system

description: This dataset captures hourly air temperature data from 12 urban sites in Novi Sad (Serbia) over a period of 2 years covering 2016 and 2017 (measurement time is in UTC). There are 2 datasets in the collection: one dataset provides details about the 12 sites at which the temperature sensors are placed (Table 1, excel file), while the second file contains air temperature data at the 12 locations (.csv file). In all, the second dataset contains 17,544 instances of air temperature data. The temperature data has been cleaned and gap-filled so there are 24 measures at each site for each day. There are multiple potential uses for this data. It can provide insights when trying to understand intra-urban and inter-urban research, urban climate modeling on local or micro scales, heat-related public health investigations and urban environment inquiries. It can also be used in machine learning experiments, for example, to test the accuracy of classification algorithms or to build and validate spatio-temporal machine learning functions, either for classification purposes or for gap filling.
description: Quality Control methodology guideline, 2023. Available at: https://drive.google.com/drive/folders/1tvDpMMvN10JQni4o6X3SIql5bJ5yls3r?usp=sharing
description: {"references": ["I. \u0160e\u0107erov, S. Savi\u0107, D. Milo\u0161evi\u0107, D. Arsenovi\u0107, D. Dolinaj, S. Popov, 2019. Progressing urban climate research using a high-density monitoring network system. Environ. Monit. Assess. 191, 89. https://doi.org/10.1007/s10661-019-7210-0"]}
DOI: 10.5517/ccdc.csd.cc27zcd0
title: CCDC 2084762: Experimental Crystal Structure Determination

description: Related Article: Qiu Sun, Constantin G. Daniliuc, Klaus Bergander, Gerald Kehr, Gerhard Erker|2021|J.Am.Chem.Soc.|143|14992|doi:10.1021/jacs.1c07465
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gj9dq
title: CCDC 2279783: Experimental Crystal Structure Determination

description: Related Article: Gary E. Aspnes, Scott W. Bagley, Wesley Dewitt Clark, John M. Curto, David James Edmonds, Mark E. Flanagan, Kentaro Futatsugi, David Andrew Griffith, Kim Huard, Yajing Lian, Chris Limberakis, Allyn T. Londregan, Alan M. Mathiowetz, David Walter Piotrowski, Roger B. Ruggeri|2022|U.S.Patents|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cczsw8w
title: CCDC 917639: Experimental Crystal Structure Determination

description: Related Article: Yang-Hui Luo|2016|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccx5kyk
title: CCDC 839509: Experimental Crystal Structure Determination

description: Related Article: Chung-Pin H.Chen, D.D.Parker, Qi Gao, Chong-Hui Gu, J.K.Levons, Bing-Shiou Yang|2007|U.S.Patents|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccx5kzl
title: CCDC 839510: Experimental Crystal Structure Determination

description: Related Article: Chung-Pin H.Chen, D.D.Parker, Qi Gao, Chong-Hui Gu, J.K.Levons, Bing-Shiou Yang|2007|U.S.Patents|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.58020/y3jk-x087
title: The Environmental Determinants of Diabetes in the Young

description: While there are hypotheses and preliminary data as to the etiology of type 1 diabetes (T1D), the data are often limited by imprecise assessment of exposure, recall bias, failure to account for genetic susceptibility, failure to assess exposures at very early ages, or the inability to follow a sufficient sample of children long-term with high intensity. The Environmental Determinants of Diabetes in the Young (TEDDY) study is a multicenter prospective cohort study that was established in response to these gaps in understanding of T1D. The primary objectives of the study include identifying environmental factors—such as infectious agents, dietary factors, and psychosocial factors—that trigger or protect against the development of islet autoimmunity and T1D and examining genetic-environmental interactions to investigate interactive effects that contribute to T1D.

The TEDDY study was designed to follow children with and without a family history of T1D to understand the environmental factors that contribute to the disease. Newborn children younger than 4 months were screened for high-risk HLA alleles, and those with qualifying haplotypes were eligible for follow-up. Information is collected on medical information (infections, medication, immunizations), exposure to dietary and other environmental factors, negative life events, family history,  tap water, and measurements of psychological stress. Biospecimens, including blood, stool, urine, and nail clippings, are taken at baseline and follow-up study visits. The primary outcome measures include two endpoints—the first appearance of one or more islet cell autoantibodies (GADA, IAA, or IA-2A), confirmed at two consecutive visits, and development of T1D. The cohort will be followed for 15 years, or until the occurrence of one of the primary endpoints. 

The TEDDY data currently available include screening phase data, baseline phase data, study phase clinical data, and multiple analysis datasets. Data collection began in 2004 and is still on-going.
DOI: 10.6073/pasta/8faa6ed1b1d8d1e7ad6c9e897bcacc49
title: Gas exchange velocities (k600 ), gas exchange rates (K600 ), and hydraulic geometries for streams and rivers derived from the NEON Reaeration field and lab collection data product (DP1.20190.001)

description: This dataset contains estimates of gas exchange velocity, gas exchange rate, and hydraulic parameters for streams calculated from tracer-gas experiments and conservative tracer injections collected by the National Ecological Observatory Network (NEON). All input data were collected by NEON and is available on the NEON data portal at https://data.neonscience.org. Specifically, the NEON Reaeration field and lab collection data product (DP1.20190.001) was used to calculate these estimates. Gas exchange was estimated in two ways: first, following an unpooled frequentist approach and second, following a partially pooled Bayesian approach. In addition, a salt-correction was applied to gas exchange estimates for sites where it was possible and necessary. All estimates of gas exchange are included in the file gasExchange_ds.csv. A recommended selection of these estimates is included in the dataset (best_k600_mPerDay and best_K600_mPerDay). The stanfit objects used for the partially pooled Bayesian approach are also included as site-specific model objects for gas exchange velocities and rates. In addition, water velocity was calculated from conservative tracer injections, and mean water depth was calculated from these water velocity estimates and measurements of wetted width and water discharge. All hydraulic parameters are included in the file hydraulics_ds.csv. All processing code is available in the reaRates R package. 
 NEON is sponsored by the National Science Foundation (NSF) and operated under cooperative agreement by Battelle. This material is based in part upon work supported by NSF through the NEON Program.
DOI: 10.6084/m9.figshare.25422607
title: Supplementary Material for: Identification of Lung Adenocarcinoma Subtypes Based on MHC-II Gene Expression Profile and Immunological Analysis

description: Background: Major histocompatibility complex class II molecule (MHC-II) is pivotal in anti-tumor immunity, and targeting MHC-II in tumors may help improve patient survival. But function of MHC-II in the immunotherapy and prognosis of lung adenocarcinoma (LUAD) patients has not been thoroughly studied and reported.
Methods: We selected LUAD-related MHC-II genes from public databases based on previous literature reports. We identified different subtypes according to expression differences of these genes in different LUAD samples through cluster analysis. We used R package to conduct a series of analyses on different subtypes, exploring their survival differences, gene expression differences, pathway enrichment differences, and differences in immune characteristics and immune therapy. Finally, we screened potential drugs from the CMap database.
Results: We identified two MHC-II-related LUAD subtypes. Our analyses presented that patients with cluster2 subtype showed better prognosis, higher immune scores, higher levels of immune cell infiltration and immune function activation. In addition, patients with this subtype had higher immunophenoscore, lower TIDE scores, and DEPTH scores. We also identified 10 small molecule drugs, such as Lenalidomie, VX-745, and tyrphostin-AG-1295.
Conclusion: Overall, MHC-II is not only a potential biomarker for accurately distinguishing LUAD subtypes, but also a predictive factor for their survival. Our study offers novel insights into understanding of impact of MHC-II in LUAD and offers a new perspective for improving the accurate classification of LUAD patients and enhancing drug treatment.
DOI: 10.6084/m9.figshare.25780344
title: Supplementary Material for: Rare MED12L variants is associated with susceptibility to guttate psoriasis in the Han Chinese Population

description: Introduction: According to the common disease/rare variant (CDRV) hypothesis, it is important to study the role of rare variants in complex diseases. The association of rare variants with psoriasis has been demonstrated, but the association between rare variants and specific clinical subtypes of psoriasis has not been investigated.
Methods: Gene-based and gene-level meta-analyses were performed on data extracted from our previous study data sets(2,483 patients with guttate psoriasis and 8,292 patients with non-guttate psoriasis) for genotyping. Then, haplotype analysis was performed for rare loss-of-function variants located in MED12L, and protein function prediction was performed for MED12L. Gene-based analysis at each stage had a moderate significance threshold (P &lt; 0.05). A chi-square test was then conducted on the three potential genes, and the merged gene-based analysis was used to confirm the results. We also conducted association analysis and meta-analysis for functional variants located on the identified gene.
Results: Through these gene-level analyses, we determined that MED12L is a guttate psoriasis susceptibility gene (P=9.99x10-5), and the single-nucleotide polymorphism (SNP) with the strongest association was rs199780529 (P_combine=1x10-3, P_meta=2x10-3).
Conclusions: In our study, a guttate psoriasis-specific subtype-associated susceptibility gene was confirmed in a Chinese Han population. These findings contribute to a better genetic understanding of different subtypes of psoriasis.
DOI: 10.15482/usda.adc/1324465
title: USDA Database for the Flavonoid Content of Selected Foods. Release 3.2 (November 2015)
DOI: 10.25835/kmu9fpof
title: Potential of blue light-emitting diodes (LEDs) to disturb whiteflies on the crop: a new strategy for mass trapping?

description: All data are analysed and published 2024 under the title "Potential of blue light-emitting diodes (LEDs) to disturb whiteflies on the crop: a new strategy for mass trapping?" in the Journal ..... https://doi.org/........

Detailed methods of data collection and analyses are desribed in the paper. The files were created by MS Excel 2016.
DOI: 10.25984/1987306
title: 2023 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies

description: These data provide the 2023 update of the Electricity Annual Technology Baseline (ATB). Starting in 2015 NREL has presented the ATB, consisting of detailed cost and performance data, both current and projected, for electricity generation and storage technologies. The ATB products now include data (Excel workbook, Tableau workbooks, and structured summary csv files), as well as documentation and user engagement via a website, presentation, and webinar. Starting in 2021, the data are cloud optimized and provided in the OEDI data lake. The data for 2015 - 2020 are can be found on the NREL Data Search Page. The website documentation can be found on the ATB Website.
DOI: 10.26022/ieda/113041
title: Gombe Series and Pliocene Shield Basalts from the Turkana Depression, Kenya, East African Rift

description: Assessing the relationship between magmatism and extension in the East African Rift. Major and trace element geochemical data of Turkana Depression, Kenya, basalts. Measurements made from XRF and LA-ICP-MS analysis of fused whole rock powders.
DOI: 10.5281/zenodo.7802627
title: Joint series underlying the paper " Compound coastal-riverine flooding of St. Lawrence River coasts under sea level rise conditions"

description: Compound coastal-riverine flooding, known as flooding events caused by the co-occurrence of high streamflow and coast water levels, can have substantial economic and social implications in low-lying coastal regions. Recent studies over Canada’s coasts have shown that neglecting the interdependency between flood drivers can underestimate the risk of flooding by up to 50%. However, to date, such interdependency and its effect on the frequency of compound riverine-coastal flooding has not been investigated for the coasts of the St. Lawrence River, Estuary, and Gulf system (StL), where Sea Level Rise (SLR), along with intensified river peaks, are already threatening communities. In this study, a copula-based bivariate frequency analysis (AND hazard scenario) was applied to quantify the differences between joint return periods computed under dependent and independent assumptions, for 26 sites along the StL. Furthermore, design pairs for 100-year joint events in the historical period (1986-2020) were compared with the 2100 horizon, where the SLR associated with the RCP8.5 emission scenario was incorporated into the water level time series. Results show that 1) the independence assumption can underestimate the frequency of compound flooding in the Fluvial Section of the StL by up to 30 times and 2) the SLR can increase the frequency of compound flooding by up to 50 times in the Estuary and the Gulf and by up to 5 times in the Fluvial Section of the StL. This study highlights the need for explicit consideration of the dependence between flood drivers and of SLR in the delineation of flood maps along all of the coasts of the St. Lawrence.
DOI: 10.6084/m9.figshare.23703729
title: detector-comparison.zip

description: Raw and processed data for comparison between a scintillator-based indirect detector system and a Bragg magnifier system
DOI: 10.6084/m9.figshare.24239320.v2
title: STL data : Topology-optimized source shifter for optical location camouflaging

description: We provide STL data of optimal configurations presented in ``Topology-optimized source shifter for optical location camouflaging''.