cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6564995
title: Benchmarks and scripts for ACQuA and RSAComb

description: This dataset contains a selection of ontologies, data and queries (LUBM, UOBM and Reactome) used for testing the tools RSAComb [1] and ACQuA [2]. In addition, we provide a collection of scripts to generate queries from ontology patterns. The output of these scripts run on the Oxford Ontology Repository [3] is attached, as well. [1] https://doi.org/10.5281/zenodo.5047810<br> [2] https://doi.org/10.5281/zenodo.6564387<br> [3] https://www.cs.ox.ac.uk/isg/ontologies/
DOI: 10.5281/zenodo.7529682
title: CR2MET: A high-resolution precipitation and temperature dataset for the period 1960-2021 in continental Chile.

description: The Center for Climate and Resilience Research Meteorological dataset (CR2MET) includes two spatially-distributed products of daily precipitation and maximum/minimum near surface temperatures. The dataset covers the domain of continental Chile over a regular 0.05 degree latitude-longitude grid, and spans the period 1960-2021. Both a products are built on statistical models of the corresponding variables, calibrated against quality-controlled observational records. The CR2MET models are nurtured with a combination of data that includes different variables from ECMWF reanalysis ERA5, topographic parameters and land-surface temperature estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensor.
DOI: 10.6084/m9.figshare.27193713
title: <b>Data for </b><b>"</b><b>Inhibition of autotrophic nitrifiers </b><b>in a nitrogen-rich paddy soil by elevated CO</b><sub><strong>2</strong></sub><b>"</b>

description: Enclosed is the supporting source data used in main text and extended data figures of manuscript entitled "Inhibition of autotrophic nitrifiers in a nitrogen-rich paddy soil by elevated CO<sub>2</sub>"<br>
DOI: 10.15468/c3kkgh
title: English Wikipedia - Species Pages

description: Species pages extracted from the English Wikipedia article XML dump from 2022-08-02. Multimedia, vernacular names and textual descriptions are extracted, but only pages with a taxobox or speciesbox template are recognized. See https://github.com/mdoering/wikipedia-dwca for details.
DOI: 10.17596/0000106
title: Estimated state of ocean for climate research (ESTOC)

description: Our 4D-VAR data synthesis system is developed as a part of the Japan Agency for Marine-Earth Science and Technology (JAMSTEC)-Kyoto University collaborative program (known as "the K7 consortium"). The Ocean General Circulation Model is version 3 of the GFDL Modular Ocean Model (MOM3), which is equipped with several sophisticated schemes; e.g., Noh scheme for mixed layer physics, the Gent and McWilliams (GM) scheme for isopycnal mixing, and quicker advection scheme. The horizontal resolution is 1o in both latitude and longitude. In our original system, the OGCM has 45 vertical levels spaced from 10 m near the sea surface to 400 m at the bottom, with a bottom boundary layer. 4D-VAR adjoint data assimilation approach is applied to conduct data synthesis experiments. The adjoint codes of the OGCM were obtained using the Tangent linear and Adjoint Model Compiler (TAMC) and the Transformation of Algorithms in Fortran (TAF). In the 4D-VAR approach, optimized 4-dimensional datasets are sought by minimizing a cost function.Physical parameters: This system assimilates diverse observations such as subsurface temperature and salinity from EN4 dataset compiled by the Hadley Centre of the UK Meteorological Office, sea surface temperature (SST) from the Optimally Interpolated SST dataset and Extended Reconstructed SST dataset, and sea-surface dynamic-height anomaly data derived from high-precision multi-satellite altimetry products distributed by Aviso. The control variables are surface fluxes (for net-heat, fresh water, and momentum) and oceanic initial conditions. The assimilation window is more than 53 years from 1957.Biogeochemical parameters: The synthesis of available observations and a pelagic ecosystem model based on nitrogen cycle produces a dynamically self-consistent dataset. Optimized 4-dimensional datasets are sought by minimizing a cost function on the basis of Green's function approach. The assimilated elements include the climatological monthly mean nitrate from WOA, monthly mean ocean color data from SeaWiFS, annual mean chlorophyll-a from WOA98 as a pseudo-detritus, and BGC float observations.
The detailed settings, such as the equipped model schemes, the assimilated elements, and the assimilation period, etc. depend on its version, and can be found on each version’s website.
DOI: 10.17632/72pkt8srth.1
title: Electromagnetic Scattering Parameters and Nicholson-Ross-Weir (NRW) Data Results of Carbon Fibers 2x2 weave and Polydimethylsiloxane over the X-band (8.2 - 12.4 GHz)

description: The electromagnetic characterization was performed using a Vector Network Analyzer (VNA) model N5235A, with the Agilent software package. The 11644A WR-90 waveguide mechanical calibration kit was used to calibrate the VNA in the X-band frequency range (8.2 to 12.4 GHz), transverse electric (TE10) mode. Simulation data were obtained with the Altair FEKO®, version 2021.2.4, computational electromagnetics (CEM) module with the full-wave domain frequency solution method of moments (MoM).
Scattering Parameters (S–Parameters (S11; S21; S22; S12)).
Relative complex permittivity (εr = ε’ – jε”) and the relative complex permeability (μr = μ’ – jμ”)
DOI: 10.17632/f7xyzyrc58.1
title: Dataset of Noise Signals Generated by Smart Attackers for Disrupting State of Health and State of Charge Estimations in Battery Energy Storage Systems

description: This dataset is derived from real-time MATLAB/Simscape simulations, focusing on the impact of subtle noise signals on battery energy storage systems. Using Proximal Policy Optimization (PPO), noise signals in millivolt and milliampere ranges are generated to stealthily disrupt the State of Charge (SoC) and State of Health (SoH) estimations within Unscented Kalman Filters (UKF). Designed to evade detection while causing estimation errors, this dataset is a valuable resource for studying and mitigating smart cyber-physical attacks. It can be reused in research to enhance the resilience of SoC and SoH estimation methods and develop robust defensive strategies.
DOI: 10.17910/b7301k
title: The Child Affective Facial Expression (CAFE) set

description: The Child Affective Facial Expression Set (CAFE) is a collection of photographs taken of 2- to 8-year-old children (M = 5.3 years; R = 2.7 – 8.7 years) posing for 6 emotional facial expressions—sadness, happiness, surprise, anger, disgust, and fear—plus a neutral face. The full set features 90 female models and 64 male models (27 African American, 16 Asian, 77 Caucasian/European American, 23 Latino, and 11 South Asian). With the exception of surprise, children were asked to pose for each expression with their mouths open and with their mouths closed. Surprised faces were only posed with their mouths open. Open mouth disgusted faces generally included a tongue protrusion. In total, we had 154 child-models pose each of these 7 expressions. Not all children were able to successfully pose for all 7 expressions, so all unsuccessful attempts were eliminated from the set. The result is 1192 total photographs. Demographic information and validity/reliability data from 100 untrained adults on each face in the set is available in a sortable Excel file under "Materials." Please note that the images in the CAFE set are copyright protected and cannot be published (including in journals, book chapters, etc). When using the CAFE data set please cite both the paper that introduces it: LoBue, V., & Thrasher, C. (2015). The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults. Emotion Science, 5, 1532. http://doi.org/10.3389/fpsyg.2014.01532 and the data set itself using the Databrary citation below: LoBue, V. (2014). The Child Affective Facial Expression (CAFE) set. Databrary. http://doi.org/10.17910/B7301K The set has also been recently validated in a child sample. The citation can be found here: LoBue, V., Baker, L., & Thrasher, C. (2018). Through the eyes of a child: Preschoolers’ identification of emotional expressions from the Child Affective Facial Expression (CAFE) Set. Cognition & Emotion, 32, 1122-1130. © 2014 Cat Thrasher
DOI: 10.20350/digitalcsic/16559
title: DIWEED: Drone Imagery dataset for early-season WEED classification

description: [Description of methods used for collection/generation of data] Data were acquired through an RGB camera mounted on a UAV at an altitude of 11m.
description: Identification of weed species at the early stages of growth is critical for precision agriculture. Accurate detection and classification to species level allows targeted control measures to be taken, significantly reducing pesticide use. This dataset consists of RGB images, captured with a Sony ILCE-6300L camera mounted on an unmanned aerial vehicle (UAV) at 11 meters altitude. The dataset covers several agricultural fields in Spain, focusing on two summer crops: corn and tomato. It is designed to improve the accuracy of early season weed detection by including images from two phenological stages. Specifically, the dataset contains 31,002 labeled images from the early growth stage - maize with four leaves unfolded (BBCH14) and tomato with the first flower bud visible (BBCH501) - as well as 36,556 images from a later growth stage - maize with seven leaves unfolded (BBCH17) and tomato with the ninth flower bud visible (BBCH509). In maize, weed species include Atriplex patula, Chenopodium album, Convolvulus arvensis, Datura ferox, Lolium rigidum, Salsola kali and Sorghum halepense. In tomato, weed species include Cyperus rotundus, Portulaca oleracea and Solanum nigrum. The images, stored in JPG format, were labeled by partitioning orthomosaics, with each image corresponding to a specific plant species. This dataset is ideal for developing advanced deep learning models, such as CNN and ViT, for early detection and classification of weed species in corn and tomato crops using UAV imagery. By providing this dataset, we aim to advance UAV-based weed detection and mapping technologies, contributing to precision agriculture with more efficient and accurate tools that promote sustainable and profitable agricultural practices.
DOI: 10.24432/c5rk5g
title: Beijing Multi-Site Air Quality
DOI: 10.25549/webster-c100-5582
title: Office of the Special Advisor Arrests Database Analysis, 1992-04-29/1992-05-04

description: Office of the Special Advisor Arrests Database Analysis, a summary of arrests during the 1992 riots, attorney work product, 1992 April 29 - 1992 May 4. PART OF SERIES: The series is comprised of detailed analyses of incidents that occurred during the 1992 Los Angeles riots. Included are graphs, statistics, figures, and spreadsheets that summarize data involving police deployment, incident calls, structural fires, and arrests. Materials are presented through charts, graphs, tables, and a group of floppy disks.
DOI: 10.25919/s1m9-kh14
title: Data - Pathways to Net Zero Emissions: An Australian Perspective on Rapid Decarbonisation

description: Data and charts for figures of CSIRO's 'Pathways to Net Zero Emissions - An Australian Perspective on Rapid Decarbonisation' technical report. 

This work has been funded by the Commonwealth Bank of Australia (CBA) to contribute to our collective understanding of potential decarbonisation pathways for Australia, consistent with limiting global warming to 1.5°C above pre-industrial levels. In addition to providing funding for this work, CBA facilitated stakeholder consultation and reviewed the utility of this information for private sector target setting. We thank participants from the Electricity, Buildings, Transport, Iron and Steel, Aluminium and Cement sectors for their input.
DOI: 10.5067/gpm/gmi/base-rss/07
title: GPM GMI RSS Common Calibrated Brightness Temperatures L1BASE 1.5 hours 13 km V07
DOI: 10.5281/zenodo.10630186
title: LES Simulation Data Cyclone

description: Large-eddy simulation data for upper ocean under a cyclone
DOI: 10.5281/zenodo.13133315
title: Species functional data and species distribution model projections for future land-use and fire management scenarios in the Transboundary Biosphere Reserve Gerês-Xurés

description: The data includes nine functional traits and species distribution model projections for 102 species of vertebrates (amphibians, birds, and reptiles) in the Transboundary Biosphere Reserve Gerês-Xurés. The model projections are available for 2050 under six different land-use and fire management scenarios, namely two land-use scenarios of “business-as-usual” (BAU; ongoing trends of land abandonment) and “High Nature Value farmlands” (HNV), each under three fire management scenarios (low suppression - LS, current fire suppression - CS, and high fire suppression - HS). The species distribution projections for each scenario are presented as matrices of species presences/absences, obtained after reclassifying consensus predictions of species distribution models.
DOI: 10.5281/zenodo.13850864
title: Mycotoxin levels in plant-based meat and dairy alternatives

description: A dataset containing occurrence data for mycotoxins in plant-based meat and dairy alternatives (PBMA & PBDA) obtained from the EU market. Data were obtained from scientific literature in a systematic review.
DOI: 10.5281/zenodo.13984237
title: Code and Data Files for Trinh et al. (2024)

description: These data files are for a research article to Geophysical Research Letters titled "A Critical Core Size for Dynamo Action at the Galilean Satellites". The following files were used for 1) geochemical modeling, 2) interior structure modeling, and 3) dynamo modeling. This version is identical to a previous upload on Zenodo, but we reupload here to obtain a Zenodo DOI.
DOI: 10.5281/zenodo.4460353
title: A 30m Topographic Wetness Index Dataset for the Continental United States

description: The topographic wetness index was computed at a 30m resolution for the continental United States. This dataset was computed using the triangular multiple flow direction algorithm for computing upslope areas (see https://doi.org/10.1029/2006WR005128). We used the Shuttle Radar Topography Mission (SRTM; https://doi.org/10.1029/2005RG000183) digital elevation model (DEM) for all computations. This analysis was conducted in the R programming language using the System for Automated Geoscientific Analyses (SAGA; https://doi.org/10.5194/gmd-8-1991-2015) for back end computations. This dataset is in the NAD83(NSRS2007) / Conus Albers projection system, EPSG 5072.
DOI: 10.5281/zenodo.8088841
title: Dataset of chemicals of emerging concern detected in streams and rivers of Central Chile

description: This repository encompasses the environmental concentrations of chemicals of emerging concern (CECs) occurring in surface water samples obtained from streams and rivers in Central Chile, specifically the River Aconcagua basin.
DOI: 10.5282/ubm/data.136
title: ARTigo – Social Image Tagging [Dataset and Images]

description: ARTigo is a platform that uses crowdsourcing to gather annotations (tags) on works of art (see http://www.artigo.org/). The dataset is compromised of 54.497 objects, which are associated with 18.492 artists (11.519 of which are either anonymous or unknown), 295.343 German-, French-, English-language tags, and 9.669.410 taggings. It is based on a cleansed database dump dated November 15, 2018. The cleansing concerned only the metadata of the objects; tags and taggings are provided „as is“.

A current but uncleansed version of the data is available via a RESTful API at: http://www.artigo.org/api.html.

The data is licensed under Creative Commons BY-NC-SA 4.0. If you are unsure whether your project is a commercial use, please contact us at: hubertus.kohle@lmu.de.
DOI: 10.5285/04c79ece-3186-349a-e063-6c86abc0158c
title: Atlantic meridional overturning circulation observed by the RAPID-MOCHA-WBTS (RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series) array at 26N from 2004 to 2022 (v2022.1).

description: The RAPID-MOCHA-WBTS (RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series) programme has produced a continuous time series of the Atlantic Meridional Overturning Circulation (AMOC) at 26N that started in April 2004. This release of the time series covers the period from April 2004 to February 2022. The 26N AMOC time series is derived from measurements of temperature, salinity, pressure and water velocity from an array of moored instruments that extend from the east coast of the Bahamas to the continental shelf off Africa east of the Canary Islands. The AMOC calculation also uses estimates of the transport in the Florida Strait derived from sub-sea cable measurements calibrated by regular hydrographic cruises. The component of the AMOC associated with the wind driven Ekman layer is derived from ERA5 reanalysis. This release of the data includes a document with a brief description of the calculation of the AMOC time series and references to more detailed description in published papers. The 26N AMOC time series and the data from the moored array are curated by the British Oceanographic Data Centre (BODC). The RAPID-MOCHA-WBTS programme is a joint effort between NERC in the UK (Principle Investigator Ben Moat since 2021, Eleanor Frajka-Williams since 2020 to 2021, David Smeed 2012 to 2020, and Stuart Cunningham from 2004 to 2012), NOAA (PIs Ryan Smith and Denis Volkov) and NSF (PI Prof. Bill Johns and Prof. Shane Elipot, Uni. Miami) in the USA
DOI: 10.5441/002/edbt.2015.62
title: The NPD Benchmark: Reality Check for OBDA Systems
DOI: 10.5441/002/edbt.2019.44
title: Big POI data integration with Linked Data technologies
DOI: 10.5517/ccdc.csd.cc283v6g
title: CCDC 2089065: Experimental Crystal Structure Determination

description: Related Article: Benjamin S. Murray, Timothy J. Prior|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.26950843
title: Low-elevation forest extent in the western United States constrained by soil surface temperatures

description: Datasets and code used to examine soil surface temperature relationships with forest canopy cover and seedling regeneration in the western United States.
DOI: 10.6084/m9.figshare.27330408
title: Supplementary Material for: Chronic hepatitis B costs and healthcare resource utilization in a Japanese patient population: a retrospective cross-sectional analysis

description: Introduction: Data on the economic burden of chronic hepatitis B infection in Japan are lacking. This study investigated healthcare resource utilization and costs of chronic hepatitis B infection and liver complications in Japan.

Methods: This non-interventional study used the Medical Data Vision database. For the first analysis, a population with prevalent chronic hepatitis B infection and absence of liver complications was identified and further stratified by nucleos(t)ide analog treatment history. In the second analysis, patients with prevalent chronic hepatitis B infection and incident liver complications were identified. Patients were followed for 1 year in the first analysis and 2 years in the second analysis. Numbers of all-cause outpatient, inpatient, emergency hospitalizations, medication use, and associated costs per person-year were described across patients without/with nucleos(t)ide analog treatment and in those without/with liver complications.

Results: For patients with chronic hepatitis B infection, 75,967 had no liver complications while 17,678 patients had liver complications. All-cause outpatient visits were the largest contributor to healthcare resource utilization and costs, for patients without and with liver complications, and were numerically higher for patients on nucleos(t)ide analog than not. Patients with liver complications had numerically higher all-cause healthcare resource utilization and total costs than patients without complications.

Conclusions: Japan has a high economic burden of chronic hepatitis B infection, particularly in patients with liver complications. Optimizing treatment to prevent complications may reduce this burden.
DOI: 10.6084/m9.figshare.27637056
title: Supplementary Material for: Psychometric Evaluation of the Dutch version of the Substance Use Recovery Evaluator (SURE-NL)

description: Introduction
Patient-Reported Outcome Measures (PROMs) are an important source of information that allow for a patient-centered assessment. Outcome measurement of substance use disorder (SUD) treatment traditionally focuses on drug use and deficits in functioning, overlooking other aspects of the personal and dynamic process of recovery. The Substance Use Recovery Evaluator (SURE) is a PROM developed with service user input to monitor the recovery journey and assess treatment outcomes in people with SUD.
The objective of this study was to examine the validity and reliability of the Dutch translation of the SURE, the SURE-NL, for measuring indicators of recovery in Dutch-speaking patients with SUD.

Methods
The original SURE questionnaire was translated from English to Dutch using forward-backward translation. A total of N=171 participants were recruited as part of a naturalistic multicenter study in inpatient (N=149) and outpatient (N=22) SUD treatment centers. We examined the factorial structure, reliability, and concurrent and discriminant validity of the SURE-NL.

Results
The original 5-factor structure of the SURE showed acceptable fit for the SURE-NL, and internal consistencies of the subscales ranged from .61 to .76 and internal consistency of the total score was .83. Concurrent validity was confirmed through positive correlations of the SURE-NL total and subscale scores with the WHOQoL-BREF subscales, but correlations varied depending on subscale and treatment setting, with higher correlations for the outpatient compared to the inpatient subgroup. Discriminant validity was confirmed through low, mostly non-significant correlations between the SURE-NL and the DASS-21. 

Conclusions
Although the SURE was originally designed for outpatient settings, our findings in a predominantly inpatient sample indicate that the SURE-NL is suitable for assessing personal recovery and recovery capital in Dutch-speaking Belgian patients with SUD. However, subscales should be used and interpreted with caution. Further research is needed with larger Dutch-speaking outpatient samples and the development of a tailored SURE for inpatient settings should be considered.