cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.867560
title: Illustrated record of the detailed examination of the Challenger expedition Mn deposit samples available in the Ocean bottom deposit collection of the Natural History Museum, London

description: The Natural History Museum's (formerly called, British Museum) ocean bottom deposit collection consists of samples from about 40,000 locations around the world and is the most comprehensive British collection of seabed samples and cores. The most important sub-collection is the Sir John Murray Collection, which includes seabed samples from the HMS Challenger expedition (1872-76) and a large number of samples from other expeditions which were sent to Sir John Murray for examination such as those of the Albatross and the Valdivia. It was given to the Museum by the Murray family in 1921 following his death in 1914 (Kempe, D.R.C. and Buckley, H.A., 1987). These samples were transferred to the British Museum to the exception of those of the Albatross which were sent back to the United States and are now found for their most part at the Smithsonian Museum of Natural History in Washington. Scientists and collections management specialists can visit the collections of the Natural History Museum in London and borrow specimens for research.
description: From 1983 until 1989 NOAA-NCEI compiled the NOAA-MMS Marine Minerals Geochemical Database from journal articles, technical reports and unpublished sources from other institutions. At the time it was the most extended data compilation on ferromanganese deposits world wide. Initially published in a proprietary format incompatible with present day standards it was jointly decided by AWI and NOAA to transcribe this legacy data into PANGAEA. This transfer is augmented by a careful checking of the original sources when available and the encoding of ancillary information (sample description, method of analysis...) not present in the NOAA-MMS database.
DOI: 10.17189/1414252
title: MAVEN Solar Wind Electron Analyzer (SWEA) Survey Rate 3D Electron Distributions Data Collection

description: A collection of MAVEN Solar Wind Electron Analyzer (SWEA) electron energy/angle (3D) distributions in units of differential energy flux (eV/cm**2 sec ster eV) at the MAVEN survey telemetry rate.
DOI: 10.17632/nnytj2v3n5.1
title: Medicinal Leaf Dataset

description: Mother earth is enriched and nourished with a variety of plants. These plants are useful in many ways such as drug formulation, production of herbal products, and medicines to cure many common ailments and diseases. For the past 5000 years, Ayurveda, a traditional Indian medicinal system is widely accepted even today. India is a rich country for being the habitat for a variety of medicinal plants. Many parts of the plants such as leaves, bark, root, seeds, fruits, and many more are used as a vital ingredient for the production of herbal medicines. Herbal medicines are preferred in both developing and developed countries as an alternative to synthetic drugs mainly because of no side effects. Recognition of these plants by human sight will be tedious, time-consuming, and inaccurate. Applications of image processing and computer vision techniques for the identification of the medicinal plants are very crucial as many of them are under extinction as per the IUCN records. Hence, the digitization of useful medicinal plants is crucial for the conservation of biodiversity. Studies reveal that to build an intelligent system for recognition of medicinal herbs requires a decent size of plant leaf dataset. The dataset comprises of thirty species of healthy medicinal herbs such as Santalum album (Sandalwood), Muntingia calabura (Jamaica cherry), Plectranthus amboinicus / Coleus amboinicus (Indian Mint, Mexican mint), Brassica juncea (Oriental mustard), and many more. The dataset consists of 1500 images of forty species. Each species consist of 60 to 100 high-quality images. The folders are named as per the species botanical/scientific name. The leaves plucked are from different plants of the same species available in local gardens. It is keenly ensured not to pluck many leaves to build the dataset as it goes to waste after capturing a picture of it. Healthy and mature leaves are selected for the dataset. The instruments used are a Mobile camera (Model: Samsung s9+) and printer (Model: Canon Inkjet Printer). The images of the leaf in the dataset are slightly rotated and tilted to take its utmost advantage in training any machine learning and deep learning models. The contribution of the medicinal plant leaf dataset to develop Artificial Intelligence models (machine learning and deep learning) will assist many researchers and computer scientists to detect, identify the species and its diseases and learn more about the herb existence and medicinal properties. By releasing this dataset to the community, we look forward to stimulate research in medicinal plants where the current lack of public datasets is one of the main barriers for progress.
DOI: 10.18712/nsd-nsd2743-v7
title: Norwegian Citizen Panel Round 15, 2019

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 15, 2019 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.21222/c2j040
title: Next-Generation Liquefaction Database
DOI: 10.25493/4fzh-zcg
title: Human brain local field potential recordings during a battery of multilingual cognitive and eye-tracking tasks (v1)

description: Intracranial human brain recordings from multiple implanted depth electrodes using stereo-EEG (sEEG) technology for seizure localization provide unique local field potential signals (LFP) sampled with standard macro- and special micro-electrode contacts. Over one hundred macro- and micro-contact LFP signals localized in particular brain regions were recorded from each sEEG monitoring case as patients engaged in an automated battery of verbal memory and non-verbal gaze movement tasks. Subject eye and vocal responses in both visual and auditory task versions were automatically detected in Polish, Czech, and Slovak languages with accurate timing of the correct and incorrect verbal responses using our web-based transcription tool. The behavioral events, LFP and pupillometric signals were synchronized and stored in a standard BIDS data structure with corresponding metadata. Each dataset contains recordings from at least one battery task performed over at least one day. The same set of 180 common nouns in the three languages was used across different battery tasks and recording days to enable the analysis of selective responses to specific word stimuli.
DOI: 10.25850/nioz/7b.b.lh
title: Dataset belonging to "Contrasts in the marine inorganic carbon chemistry of the Benguela Upwelling System since the Last Glacial Maximum"

description: Upwelling regions are dynamic systems where relatively cold, nutrient- and CO2-rich waters reach to the surface from the deep. CO2 sink or source properties of these regions are dependent not only on the dissolved inorganic carbon content of the upwelled waters, but also on the efficiency of the biological carbon pump which constrains the drawdown of atmospheric CO2 in the surface waters. The Benguela Upwelling System (BUS) is a major upwelling region with one of the most productive marine ecosystems today. However, contrasting signals reported on the variation in upwelling intensities based on, for instance, foraminiferal and radiolarian indices from this region over the last glacial cycle indicate that a complete understanding of (local) changes is currently lacking. To reconstruct changes in the CO2 history of the Northern Benguela upwelling region over the last 27 kyr, we used a box core (64PE450-BC6) and piston core (64PE450-PC8) from the Walvis Ridge. Here, we apply various temperature and pCO2-proxies, representing both surface (UKʹ 37, δ13C of alkenones) and intermediate depth (Mg/Ca, B/Ca, S/Mg, δ11B in planktonic foraminiferal shells) processes. Reconstructed pCO2 records suggest enhanced storage of carbon at depth during the last glacial maximum. The offset between δ13C of planktonic (high δ13C) and benthic foraminifera (low δ13C) suggests an evidence of a more efficient biological carbon pump, potentially fuelled by remote and local iron supply through aeolian transport and dissolution in the shelf regions, effectively preventing release of the stored glacial CO2.
DOI: 10.25917/thv3-7y61
title: Fungicide Resistance Management in West Australia's Wheatbelt: Socio-Economic Impacts and Grower Attitudes Towards Extension Services
DOI: 10.48677/5db3e58e-3c6b-4bae-98e2-e57e706918da
title: Digitales Landschaftsmodell - Bodenbedeckung Stichtag 07.05.2024

description: Der Objektbereich DLM - Bodenbedeckung umfasst in Form von hochgenauer Vektorgrafik mit Attributen als Basis für Geographische Informationssysteme flächendeckend für Österreich die Elemente: 
• die Flächen von Flüssen über 5 m Breite 
• die Flächen aller stehenden Gewässer (Seen und Teiche), Gletscher, Schwimmbecken
• die Flächen von Gletschern
• die Flächen von Klärbecken, Schwimmbecken, Industriebecken

Stichtag = Erstellungsdatum:
 Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
 Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.5281/zenodo.10051655
title: Dataset for "Mesoscale Eddy-Induced Sharpening of Oceanic Tracer Front"

description: Data of the tracer experiments and the associated diagnostics in the shallow water model for the ocean front study.

eforc.tar.gz: diagnosed eddy forcing fields for different tracers;
exps_trs.tar.gz: solutions in offline tracer experiments on the coarse grid;
forc_uvh.tar.gz: mass fluxes and layer thicknesses used to advect tracers;
params.tar.gz: parameters used for tracer experiments
Please contact Yueyang Lu via yueyang.lu@miami.edu if there are any questions.
DOI: 10.5281/zenodo.12582998
title: New parameter estimates for exogenous organic materials including biochar for the Rothamsted carbon model

description: This parameter set has been established within the EJP Soil project Carboseq and is fully explained in the corresponding report (Leifeld, J., Hardy, B., Budai, A., Elsgaard, L., Keel, S.G., Levavasseur, F., Liang, Z., Mondini, C., Plaza, C., Rodrigues, L. 2024. Soil organic carbon sequestration potential of agricultural soils in Europe. Final report EJP Soil CarboSeq work package 3 – Biochar and other organic amendments).
DOI: 10.5281/zenodo.13321540
title: Output of simulations for "Atmosphere Response to an Oceanic Sub-mesoscale SST Front: A Coherent Structure Analysis": Part 1

description: This dataset contains the output of the simulations for the paper "Atmosphere Response to an Oceanic Sub-mesoscale SST Front: A Coherent Structure Analysis" doi: [TO BE COMPLETED]. This is part 1. It contains data for the S1 simulation.
DOI: 10.5281/zenodo.14757604
title: Data related to "Contribution of ship emissions to aerosol number concentrations: Parameterization of plume-scale nonlinear microphysics and application"

description: The shared dataset offers observed and simulated particle number concentrations, CCN, and simulated particle number emission in "Contribution of ship emissions to aerosol number concentrations: Parameterization of plume-scale nonlinear microphysics and application".
DOI: 10.5281/zenodo.14841682
title: Very-Large-Scale Reconfigurable Intelligent Surfaces for Dynamic Control of Terahertz and Millimetre Waves

description: Dataset for manuscript titled "Very-Large-Scale Reconfigurable Intelligent Surfaces for Dynamic Control of Terahertz and Millimetre Waves".
DOI: 10.5281/zenodo.14975627
title: Initial conditions used in FESOM2 simulations for Beech et al. (2025)

description: Initial condition files used in the transient (MR mesh, 1851-2100), historical (SO3 mesh, 1950-1956), and projected (SO3 mesh, 2090-2096) simulations described in Beech et al. (2024) and Beech et al. (2025). Runscripts and details are available in the gitub repository: https://github.com/n-beech/HL-SO-eddy.

Beech, N., Rackow, T., Semmler, T., & Jung, T. (2024). Exploring the ocean mesoscale at reduced computational cost with FESOM 2.5: Efficient modeling strategies applied to the Southern Ocean. Geoscientific Model Development, 17(2), 529–543. https://doi.org/10.5194/gmd-17-529-2024

Beech, N., Rackow, T., Semmler, T., & Jung, T. (2025). Eddy activity in the high-latitude Southern Ocean and its response to climate change (to be published)
DOI: 10.5285/1e9c4caa-b936-fc7c-e063-7086abc06ff6
title: Chlorophyll a and nutrient concentrations, Alkaline Phosphatase Activity, phytoplankton abundance, and nitrogen fixation rates from cruise JC150 incubation experiment D, July-August 2017.

description: This dataset includes chlorophyll a and nutrient concentrations, alkaline phosphatase activity, phytoplankton abundance, and nitrogen fixation rates obtained from a group of nutrient addition experiments (Experiment D) carried out on board the RRS James Cook cruise JC150. These data were obtained after incubating thirty-six 20 L bottles of seawater for 48 hours at in-situ light and temperature conditions. Approximately 800 L of seawater were collected for the experiment from a total from 7 different locations (on 7 different days) in the subtropical North Atlantic Ocean during July and August 2017. The water was collected from a depth of 40 m using either bottles on a titanium CTD rosette or a FISH pump. The incubation bottles contained either seawater with no additional nutrients (control) or varying concentrations of single or combined additional nutrients, specifically zinc, iron, nitrogen (in the form of nitrate/ammonium), esters, and cobalt. Chlorophyll a and alkaline phosphatase activity were measured using a Turner 10Au field fluorometer. Inorganic nutrients were measured at the nanomolar level using flow colorimetric techniques with 2 metre Liquid waveguides. Dissolved organic phosphorus (DOP) was quantified as the difference in Dissolved Inorganic Phosphorus (DIP) concentrations before and after persulfate oxidation measured by a Bran and Leubbe QuAAtro 5-channel autoanalyser. Rates of nitrogen fixation were determined using a bubble-release method. Phytoplankton cell abundance (Synechococcus, Prochlorococus, Picoeukaryotes and low and high DNA content bacteria) were determined using flow cytometry. Data were collected in order to determine the importance of zinc on the phytoplankton community growth, as part of the Natural Environment Research Council (NERC) Discovery Science grant - Zinc, Iron and Phosphorus Co-Limitation in the Ocean (ZIPLOc), grant references NE/N001079/1 and NE/N001125/1.
DOI: 10.6084/m9.figshare.21995072
title: Files for Main Figures

description: <b>Fig 1</b>Long_read_TE_fc: Transposable elements individual quantified featureCounts result using long-readShort_read_TE_fc: Transposable elements individual quantified featureCounts result using short-readLong_read_coding_genes_fc: Coding genes quantified featureCounts result using long-readShort_read_coding_genes_fc: Coding genes individual quantified featureCounts result using long-readInhouse_HCT116_telescope.tsv: Telescope output using inhouse HCT116 with random optionLocusMasterTE-TE_counts.tsv: LocusMasterTE output using inhouse HCT116telescope-TE_counts: Telescope output using inhouse HCT116<b>Fig 3</b>Simulated_reads_quantification_mat : Quantified TEs in TPM counts in simulated short-read measured by 7 approaches. File used for main figure 3.<b>Fig 4</b>6 Cell lines TE matrices quantified by long-read, Telescope (short-read), LocusMasterTE (short-read)SG-Nex_A549: TE counts by long-read, Telescope (short-read), LocusMasterTE (short-read) using A549 cell line in SG-NEx studySG-Nex_HepG2: TE counts by long-read, Telescope (short-read), LocusMasterTE (short-read) using HepG2 cell line in SG-NEx studySG-Nex_HCT116: TE counts by long-read, Telescope (short-read), LocusMasterTE (short-read) using HCT116 cell line in SG-NEx studySG-Nex_K562: TE counts by long-read, Telescope (short-read), LocusMasterTE (short-read) using K562 cell line in SG-NEx studySG-Nex_MCF-7: TE counts by long-read, Telescope (short-read), LocusMasterTE (short-read) using MCF-7 cell line in SG-NEx studyInhouse_HCT116: TE counts by long-read, Telescope (short-read), LocusMasterTE (short-read) using HCT116 sample generated by our lab<br><br><b>Fig 5</b><br>mutational_profile_TCGA-COAD: Mutational profiling of TCGA-COAD patients with MDA5-protected Alu elements from 5-azacytidine-treated ADAR wild-type samples.
DOI: 10.6084/m9.figshare.26190458
title: <b>Revealing antagonistic interactions in the adverse effects of polystyrene and </b><b>polymethylmethacrylate </b><b>microplastics in bumble bees</b>

description: The three data sets are the row data corresponding to the three experiments. The codes used for the statistical analyses are reported in the Word file named "Codes". The ReadMe file contains all the information reported in the row data.
DOI: 10.6084/m9.figshare.28451024
title: Supplementary Material for: First description of upadacitinib as treatment for collagenous colitis with a concomitant lymphocytic disorder of the upper gastrointestinal tract

description: Introduction: The medical treatment of refractory collagenous colitis with a concomitant symptomatic lymphocytic disorder of the upper gastrointestinal tract is very challenging with scarce evidence. 
Case presentation: We present a 61-year-old female patient with a long-standing highly refractory collagenous colitis with a concomitant symptomatic lymphocytic disorder with villous atrophy and intraepithelial lymphocytes of the upper gastrointestinal tract causing severe watery diarrhoea with severe hypokalemia and recurrent episodes of prerenal kidney injuries requiring several hospital admissions. Celiac serology as well as genetic analyses (HLA-DQ2/DQ8) were negative, and other common etiologies of intraepithelial lymphocytes and villous atrophy were ruled out. Considering the similar course of the disease in the upper and lower gastrointestinal tract for a time period of more than 20 years, a common etiologic relationship, particularly an autoimmune disorder seems to be very likely in this patient. 
Several therapies such as budesonide, immunomodulators, and the biologics infliximab and vedolizumab had to be stopped due to either non-response, loss-of-response or drug-related side effects. However, the patient responded immediately to the JAK-1 inhibitor upadacitinib, with documented remission for more than one year.
Conclusion: For the first time, a prompt and significant response to upadacitinib in a patient with refractory collagenous colitis with upper gastrointestinal tract involvement was shown, suggesting upadacitinib as therapy of choice in severe therapy-refractory cases of collagenous colitis, particularly with concomitant upper gastrointestinal tract involvement.
DOI: 10.17632/3ggss5jgcr.1
title: Data MENA

description: This data file includes raw data for renewable energy, fossil fuel consumption, renewable energy transition, urbanization, and GDP per capita from 2001-2023.
DOI: 10.5281/zenodo.10817220
title: [Replication Package] Why Personalizing Deep Learning-Based Code Completion Tools Matters

description: This repository contains scripts, datasets and results of the work: Why Personalizing Deep Learning-Based Code Completion Tools Matters

Note: you can access our scripts also in the official GitHub repository: https://github.com/Devy99/comp-personalization
DOI: 10.5281/zenodo.5769583
title: S89 | PRORISKPFAS | List of PFAS Compiled from NORMAN SusDat

description: This is the collection associated with list S89 PRORISKPFAS, List of PFAS Compiled from NORMAN-SusDat on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ A compiled list of 4777 PFAS compounds occurring in NORMAN SusDat, created by merging SLE lists S9, S14, S25, S46, and S80 and searching for additional fluorinated content in SusDat. Provided by Kelsey Ng, EI. Manuscript in preparation entitled: "Target and suspect screening of PFAS in wastewater, river water, ground water and biota samples in the Danube River Basin" Mapping to CID and DTXSID provided by ECI.
DOI: 10.7289/v5cr5r8p
title: World Magnetic Model 2010

description: The World Magnetic Model is the standard model used by the U.S. Department of Defense, the U.K. Ministry of Defence, the North Atlantic Treaty Organization (NATO) and the International Hydrographic Organization (IHO), for navigation, attitude and heading referencing systems using the geomagnetic field. It is also used widely in civilian navigation and heading systems. The model, associated software, and documentation are distributed by NGDC on behalf of NGA. The model is produced at 5-year intervals, with the current model expiring on December 31, 2014.
DOI: 10.6084/m9.figshare.28683005
title: Supplementary Material for: Cachexia Index as a Prognostic Indicator in Patients with Unresectable Hepatocellular Carcinoma Receiving Atezolizumab and Bevacizumab Therapy

description: Background and Aim: We investigated the association between the pretreatment cachexia index (CXI) and survival outcomes in patients with unresectable hepatocellular carcinoma (u-HCC) receiving atezolizumab plus bevacizumab (Atez/Bev).
Methods: We conducted a retrospective analysis of 195 patients with u-HCC treated with Atez/Bev from September 2020 to December 2023. The skeletal muscle mass index (SMI) was calculated by normalizing the psoas muscle area by the square of the height (cm²/m²). The CXI was defined as the SMI × serum albumin level (g/dL)/neutrophil-to-lymphocyte ratio. Propensity score matching (PSM) was applied to minimize the effect of potential confounders. Associations between CXI, overall survival (OS), and progression-free survival (PFS) were assessed.
Results: From the initial cohort, CXI cutoffs of 7.23 for males and 4.99 for females were established. PSM matched 60 pairs of patients with low and high CXI, showing no significant differences in confounding factors between groups. Kaplan-Meier analysis indicated that the low-CXI group had shorter median OS (12.5 versus 26.1 months, p = 0.009) and PFS (6.1 versus 11.1 months, p = 0.045) compared with the high-CXI group. No significant differences existed between groups in overall response rate (p = 0.994) and disease control rate (p = 0.090). Multivariate Cox proportional hazards analysis identified low CXI as an independent prognostic factor for OS (HR: 1.89, 95% CI: 1.11–3.22, p = 0.019) and PFS (HR: 1.53, 95% CI: 1.01–2.34, p = 0.047).
Conclusions: The CXI may be a valuable prognostic tool for predicting survival outcomes in patients with u-HCC receiving Atez/Bev