cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18518003
title: Matriptase-2-mediated suppression of hepatic hepcidin expression in mice requires hepatocyte neogenin

description: This dataset includes the source data files for the manuscript: “Matriptase-2-mediated suppression of hepatic hepcidin expression in mice requires hepatocyte neogenin” by Caroline A. Enns, Shall Jue, and An-Sheng Zhang. 

Neogenin is a ubiquitously expressed multifunctional receptor. It binds members of the repulsive guidance molecules (RGM), RGMa, RGMb, and hemojuvelin. While RGMa and RGMb binding to neogenin are necessary for neural development, more recent studies demonstrated that the neogenin-hemojuvelin interaction in hepatocytes plays a pivotal role in iron homeostasis by facilitating hepcidin expression through the BMP-signaling pathway. Hepcidin is an iron regulatory hormone. In mice, ablation of neogenin or hemojuvelin reduces hepcidin and causes iron overload. Similar effects occur upon disruption of the neogenin-hemojuvelin association. Besides hemojuvelin, neogenin also interacts with matriptase-2, a key suppressor for hepcidin expression. Matriptase-2 mutations result in an inappropriately high hepcidin and iron-refractory iron-deficiency anemia in humans. Matriptase-2 is a membrane-anchored serine protease. It can cleave multiple components of the hepcidin induction pathway in vitro, including hemojuvelin. In this study, we investigated the roles of neogenin-matriptase-2 interaction in hepcidin expression in vivo. In contrast to the observations that matriptase-2 cleaves neogenin and markedly reduces neogenin levels in cultured hepatoma cells, we found that matriptase-2 stabilizes neogenin in murine liver. Studies in mice suggest that matriptase-2 suppression of hepcidin relies on the presence of neogenin. Additional investigations imply that the major function of hepatic neogenin is to set the basal levels of hepcidin expression. Together, these data along with the evidence that matriptase-2 also suppresses the function of hemojuvelin, support the model that Mt2 suppression of hepatic hepcidin is achieved by inhibiting the neogenin/hemojuvelin-induced Bmp-signaling pathway.
DOI: 10.5281/zenodo.18518004
title: Matriptase-2-mediated suppression of hepatic hepcidin expression in mice requires hepatocyte neogenin

description: This dataset includes the source data files for the manuscript: “Matriptase-2-mediated suppression of hepatic hepcidin expression in mice requires hepatocyte neogenin” by Caroline A. Enns, Shall Jue, and An-Sheng Zhang. 

Neogenin is a ubiquitously expressed multifunctional receptor. It binds members of the repulsive guidance molecules (RGM), RGMa, RGMb, and hemojuvelin. While RGMa and RGMb binding to neogenin are necessary for neural development, more recent studies demonstrated that the neogenin-hemojuvelin interaction in hepatocytes plays a pivotal role in iron homeostasis by facilitating hepcidin expression through the BMP-signaling pathway. Hepcidin is an iron regulatory hormone. In mice, ablation of neogenin or hemojuvelin reduces hepcidin and causes iron overload. Similar effects occur upon disruption of the neogenin-hemojuvelin association. Besides hemojuvelin, neogenin also interacts with matriptase-2, a key suppressor for hepcidin expression. Matriptase-2 mutations result in an inappropriately high hepcidin and iron-refractory iron-deficiency anemia in humans. Matriptase-2 is a membrane-anchored serine protease. It can cleave multiple components of the hepcidin induction pathway in vitro, including hemojuvelin. In this study, we investigated the roles of neogenin-matriptase-2 interaction in hepcidin expression in vivo. In contrast to the observations that matriptase-2 cleaves neogenin and markedly reduces neogenin levels in cultured hepatoma cells, we found that matriptase-2 stabilizes neogenin in murine liver. Studies in mice suggest that matriptase-2 suppression of hepcidin relies on the presence of neogenin. Additional investigations imply that the major function of hepatic neogenin is to set the basal levels of hepcidin expression. Together, these data along with the evidence that matriptase-2 also suppresses the function of hemojuvelin, support the model that Mt2 suppression of hepatic hepcidin is achieved by inhibiting the neogenin/hemojuvelin-induced Bmp-signaling pathway.
DOI: 10.15468/dl.5yb55e
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amathuxidia amythaon"
 ]
}

 The dataset includes 335 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003190-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/bn7z7g
title: Naïo Orio autonomous robot evaluation for weed management data in carrots and table beets in the Holland Marsh, Ontario, 2024 and 2025
title: Autonomous robot for weed management in carrots and beets

description: This submission includes four CSV datasets supporting Chapter 2 of an MSc thesis evaluating the performance of the Naïo Orio autonomous robot for vegetable weed management. (1) 2024 carrot yield grading and marketability metrics comparing robot vs tractor across soil types. (2) 2024 table beet yield grading and marketability metrics comparing robot vs tractor across soil types. (3) 2024 weed assessment dataset with quadrat-level weed density, biomass, vegetative cover, and weed species counts across crops, sampling dates, soils, and weed control systems. (4) 2025 observational carrot trial assessing robot-banded herbicide application settings with pre/post weed metrics, crop injury, and yield/marketability variables. Together, the files enable analysis of weed suppression and crop yield outcomes under autonomous vs conventional management.
description: These files provide the underlying data for Chapter 2 of an MSc thesis assessing Naïo Orio autonomous robot weed management in vegetable crops in the Holland Marsh (Ontario, Canada). In 2024, robot and tractor systems were compared in carrots and table beets on muck and mineral soils. Weed pressure was measured in 0.25 m² quadrats (density, fresh biomass, vegetative cover) with species counts to describe community composition. Crop yield was harvested from standardized subsamples and graded into market classes based on root diameter, generating marketable and total yield metrics (counts, weights, t/ha) and proportional size distributions. A 2025 observational carrot trial evaluates banded herbicide application settings for the Orio robot, including pre/post weed metrics, crop injury, and yield outcomes.
DOI: 10.15468/dl.y5464e
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADW6031"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029166-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4c9sh
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 75 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029167-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jw29yh
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clematis alpina",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 65 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029168-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16325766
title: XRISTIANLIK 3 TA ASOSIY OQIMINI FARQLARI BOʻYICHA
DOI: 10.5281/zenodo.16325767
title: XRISTIANLIK 3 TA ASOSIY OQIMINI FARQLARI BOʻYICHA
DOI: 10.25574/47015
title: Chandra X-ray Observatory ObsId 47015
DOI: 10.15468/dl.96cfzm
title: Occurrence Download

description: A dataset containing 3196 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delphinium fissum"
 ]
}

 The dataset includes 3196 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029169-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7beagm
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnosporia keniensis",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029170-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/9rm1-cj14
title: "Global Day-Ahead Electricity Price Dataset"

description: "This dataset presents a unified, cross-continental time-series day-ahead electricity prices compiled from major wholesale markets across Asia, Europe, North America, South America, and Oceania. The dataset offers a standardized format that supports time-series forecasting and enables robust comparative analysis across diverse global electricity markets."
DOI: 10.15468/dl.59g6jc
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delphinium schmalhausenii"
 ]
}

 The dataset includes 366 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029172-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25532/opara-420
title: Strain curves measured with different DFOS types and varying spatial resolution by an ODiSI 6108

description: Based on the principle of coherent optical frequency domain reflectometery (c-OFDR), cracks in concrete structures can be precisely localized and their widths determined due to the high spatial resolution in the sub-millimeter range. However, with longer distributed fiber optic sensors (DFOS) lengths, as is common in structural health monitoring, the spatial resolution is reduced. Experimental studies were carried out to investigate the influence of the spatial resolution on the measurement quality in the area of large strain gradients. Four different DFOS, two robust and two filigree DFOS types, were subsequently installed on a 4 m long reinforced concrete beam. In a displacement controlled 4-point bending test, crack widths of up to 0.5 mm were measured with four different gage pitch (gp).
DOI: 10.25532/opara-430
title: STABEEL - Messkampagne 2023/Q1 - Experimentelle Verifikation von Umrichterinteraktionen Q(U)-geregelter Erzeugungsanlagen am Dynamischen Netzmodell (physikalische 220-kV-Netznachbildung) des TUD - IEEH

description: Dieses Datenset enthält die erstellten Netz- und Anlagenmodelle, die Beschreibung der durchgeführten Experimente sowie die aufgezeichneten Strom- und Spannungsverläufe (Messdaten) zur Verifikation und Weiterentwicklung der im STABELL-Projekt aufgestellten Stabilitätskriterien. Die Versuche wurden am Dynamischen Netzmodell des Instituts für Elektroenergieversorgung und Hochspannungstechnik durchgeführt. Dieses Labornetz bildet ein 220-kV-Netz in einem Modellmaßstab von 440 V ab. In dem Versuch wurden die Interaktionen von Q(U)-geregelten Erzeugeranlagen untersucht, in dem diese mit Hilfe der freiparametrierbaren Regelungsplattform (https://tu-dresden.de/ing/elektrotechnik/eti/le/die-professur/Einrichtungen) des Lehrstuhls für Leistungselektronik nachgebildet wurden. Die Arbeiten entstanden im Rahmen des Projektes STABEEL, gefördert durch die Deutsche Forschungsgemeinschaft (DFG, doi: 10.13039/501100001659) – Projektnummer 442893506.
DOI: 10.25532/opara-552
title: Bistable Organic Electrochemical Transistors: Enthalpy vs. Entropy

description: Organic electrochemical transistors (OECTs) serve as the foundation for a wide range of emerging applications, from bioelectronic implants and smart sensor systems to neuromorphic computing. Their ascent originates from a distinctive switching mechanism based on the coupling of electronic and ionic charge carriers, which gives rise to a multitude of unique characteristics. Notably, various OECT systems have been reported with significant hysteresis in their transfer curve. While being a feature sought after as non-volatile memory in neuromorphic systems, no universal explanation has yet been given for its physical origin, impeding its advanced implementation. Herein, we present a thermodynamic framework that readily elucidates the emergence of bistable OECT operation through the interplay of enthalpy and entropy. We validate our model through three experimental approaches, covering temperature-resolved characterizations, targeted material manipulation, and thermal imaging. In this context, we demonstrate the exceptional scenario where the subthreshold swing deviates from Boltzmann statistics, and we provide an alternate view on existing data in literature, which further supports our model. Finally, we leverage the bistability in form of a single-OECT Schmitt trigger, thus compacting the complexity of a multi-component circuit into a single device. These insights offer a revised understanding of OECT physics and promote their application in non-conventional computing, where symmetry-breaking phenomena are pivotal to unlock novel paradigms.
DOI: 10.25532/opara-434
title: X-ray computed tomography data of expanded polypropylene bead foams of different density under compression

description: In this work, the morphology of three expanded polypropylene (EPP) bead foam specimens of differing density are studied using in-situ x-ray computed tomography. The specimens of 10 mm diameter and 10 mm length were cut from steam-chest-molded plates of 40 mm thickness. The plates are based on beads of different bulk densities (Neopolen (BASF) P92HD 105, 92HD 130, 92HD 180) and welded together in an Energy Foamer 5.0 of Kurtz Ersa using the crack-fill-method. The in-situ CT device FCTS 160 located at TU Dresden University of Technology, Institut of Lightweight Engineering and Polymer Technologie, with an x-ray CT setup rotating around the specimen and the tension/torsion-compression load train is used. The volume reconstruction is performed using CERA XPlorer (version 2.3.1. by Siemens) resulting to volume files *.vol and parameter files *.config. The provided data set enables the structure elucidation of polymer bead foam under compression.
DOI: 10.25532/opara-435
title: Guidelines for quantitative survey on perception of urban green spaces during COVID-19 pandemic

description: This is the survey guideline used for the quantitative survey.
DOI: 10.25532/opara-460
title: Extended Phase-Field Method (XPFM) - Data corresponding to publication: "An enriched phase-field method for the efficient simulation of fracture processes" by Loehnert et al. (2023)

description: This dataset contains the numerical values corresponding to the graphs within the scientific (open-access) contribution "An enriched phase-field method for the efficient simulation of fracture processes" by Loehnert et al. (2023) (https://doi.org/10.1007/s00466-023-02285-z). Abstract of Paper: The efficient simulation of complex fracture processes is still a challenging task. In this contribution, an enriched phase-field method for the simulation of 2D fracture processes is presented. It has the potential to drastically reduce computational cost compared to the classical phase-field method (PFM). The method is based on the combination of a phase-field approach with an ansatz transformation for the simulation of fracture processes and an enrichment technique for the displacement field as it is used in the extended finite element method (XFEM) or generalised finite element method (GFEM). This combination allows for the application of significantly coarser meshes than it is possible in PFM while still obtaining accurate solutions. In contrast to classical XFEM / GFEM, the presented method does not require level set techniques or explicit representations of crack geometries, considerably simplifying the simulation of crack initiation, propagation, and coalescence. The efficiency and accuracy of this new method is shown in 2D simulations.
DOI: 10.25532/opara-462
title: Supplementary data of publication: "In-line Image Analysis of Particulate Processes with Deep Learning: Optimizing Training Data Generation via Copy-Paste Augmentation"

description: This dataset contains the supplementary data of the open-access publication "In-line Image Analysis of Particulate Processes with Deep Learning: Optimizing Training Data Generation via Copy-Paste Augmentation". It provides all the necessary data and scripts to replicate the results of the study and to further use the synthetic data generation to train one's own deep learning image segmentation model. The original scripts have been slightly modified to make them more suitable for general use, e.g. parameters have been passed to an argument parser instead of hard-coding them whenever possible. Abstract of Paper: Monitoring particle properties directly in the process using in-situ microscopy can provide valuable input to control loops, improve process understanding and facilitate process optimization. However, obtaining reliable information from these images remains a challenge, especially for higher solids concentrations or agglomerating systems. Recent studies have successfully applied deep learning models to extract particle characteristics from in-situ image data. Despite these advances, the problem of generating training data has not been properly addressed. Manual annotation is time-consuming and prone to bias due to high particle counts, particle overlap, and out-of-focus objects. This paper presents a new approach to generate training data for segmentation models by combining conventional segmentation methods with copy-paste augmentation. A case study was conducted in which depth filtration experiments were performed on irregularly shaped alumina particles. An instance segmentation model trained on data generated using the proposed approach successfully detected and characterized particles, even at high solids concentrations.
DOI: 10.25532/opara-461
title: PGT Prompt Gamma Timing PETsys data for publication at IKTP (PGT)

description: Proton therapy requires range verification in order to exploit its full potential. One of the most promising approaches is to monitor prompt gamma-rays produced by nuclear interactions of the therapeutic particles in the patient tissues. In our paper, we test PETsys electronics with a detector with a wide energy range from 100 keV to 15 MeV. We tested what time resolution we could achieve as a high time resolution is required to achieve millimetric precision in the proton range. PETsys should survive high count rates and the fraction of pile-up events should be low or separatable. We are investigating a full acceptance approach with increased granularity in order to reduce the size of the scintillators and consequently the count rate per channel. Ideally, we want to stack the scintillators in matrices that require suitable multi-channel photo-multipliers and a fitting acquisition system. Here, we present two geometries of CeBr3 crystals 5 × 5 × 20 mm3 and 10 × 10 × 30 mm3, together with modern silicon photo-multipliers (SiPM) adapted to work with the PETsys TOFPET2 ASIC. The TOFPET2 ASIC was developed for Time-of-Flight Positron Emission Tomography (TOF-PET) applications. Here are our data measured for the publication for time resolution and coincidence time resolution, energy resolution with AmBe source, and dead time studies.
DOI: 10.25532/opara-466
title: Traffic Light Data of Hamburg collected in September and October 2023 (Observations from SensorThings API)

description: Real-time traffic light data collected from the Traffic Lights Data system in Hamburg from September to October 2023. The collected data was recorded under application of the Data license Germany (Attribution: Version 2.0 (https://www.govdata.de/dl-de/by-2-0 (retrieved on January 24, 2024)). It is provided by the the Free and Hanseatic City of Hamburg (LSBG). The data source can be found under: https://metaver.de/trefferanzeige?docuuid=AB32CF78-389A-4579-9C5E-867EF31CA225 (retrieved on January 24, 2024).
DOI: 10.25532/opara-479
title: 2D Imaging Simulation from 3D Particle Data: Python Notebooks, Particle Datasets, and Simulation Results

description: 2D projection imaging techniques are simulated with 3D particle data from tomography measurements. This submission contains three distinct parts: original particle data, Python notebooks to simulate 2D imaging of the particles, and the resulting simulation dataset. The particle data comes as STLs that have been converted from VTK particle data as provided by the PARROT database (https://parrot.tu-freiberg.de/). The STL files are *not* identical with the STLs provided by PARROT as of May 2024! The particle data folder is provided as separate archive because of its large size. The Python notebooks were created with Jupyter Lab and Anaconda. A environment.yml file is provided that recreates the Anaconda environment. The simulation dataset that results from the provided Python notebooks is made available as CSV files or as pickled Python (pandas) DataFrames. Please refer to the included Readme for a detailed description of the files contained in the archive.
DOI: 10.25532/opara-443
title: Source code, scripts, and data used in the PhD thesis "Fine-grained OS Control over High-performance Networking"

description: The dataset comprises the data from three projects: MigrOS, CoRD, and Fastcalls. The MigrOS project is a system for live migration of high-performance networking applications. The CoRD project is a system for enabling fine-grained control over the RDMA network data plane. The Fastcalls project is a system for enabling fast system calls in the Linux kernel. This project includes both privileged and unprivileged fastcalls.
DOI: 10.25532/opara-523
title: Data set of the energy demand and associated movement of automated storage and retrieval machines

description: The database consists of measurement data from multiple pallet racking storage and retrieval machines (SRMs) and the devices from automatic small parts storage systems (ASPS). The power consumption and the distance traveled by the systems were measured during several measurement operations. There are isolated measurements for the travel and hoist mechanisms of the systems. For power measurement, the Hioki 3193 Power HiTester was used. To capture the distance to the computer, a Dimetix laser distance sensor, model FLS-C 10, was employed. To account for all components and their losses, the power was measured at the aisle connection point. Accordingly, all components of the SRMs, including their losses, were recorded. The measurement setup and detailed methodology are described in the dissertation "Minimierung der Netzanschlussleistung und des Energiebedarfs von Regalbediengerät-Lagersystemen" / "Minimization of grid connection power and energy demand in automated storage and retrieval systems" by Armin Siegel. In addition to the database, which is provided as a compressed SQL file, example queries in Matlab (R2017b) and Python 3 are included.