cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/hdbq-1618
title: NCCOS Assessment: Orthoimagery and sediment core description data in Galveston Bay, Texas from 20231010 to 20231011 (NCEI Accession 0303740)

description: This dataset contains imagery, GPS coordinates, elevation data, and sediment characteristics collected from three historical marsh mound restoration projects in Galveston Bay, Texas. These three marsh restoration sites—Jumbile Phase II, J Cove, and Mcallis Point—were revisited to evaluate their long-term performance. The data collected for assessment is stored in four .tif files and two .csv files. The .tif files consist of ortho mosaic images of each site, captured using a DJI Phantom 4 Pro drone. The .csv files contain detailed gps data and sediment core information, including bulk density, grain size, and percent carbon. The Trimble R12 GNSS System was utilized to capture the GPS data for sediment cores, ground control points (used for georeferencing drone imagery), and the topography of marsh mounds. A total of twenty sediment cores were extracted by driving a 7 cm diameter polycarbonate tube into the ground. The cores were sectioned in the field for transport. Sediment cores were further analyzed at the lab to determine sediment characteristics. Bulk density and grain size were determined for every 5 cm interval of the core by measuring the total weight of the wet core then splitting the interval into two equal-weight halves. One half was used for bulk density, while the other was used for grain size. The bulk density half was dried, weighed, and subsampled to measure percent carbon with a Perkin Elmer 2400 series II CHNS/O elemental analyzer. The grain size half was sieved into 4 categories: gravel, macro organic matter (both &gt;0.2mm), sand (0.063-2mm), and silt (&lt;0.063mm). For the top 5 cm of the cores, the remaining half of the bulk density sample was re-weighed after drying and subsampling, then ashed in a muffle furnace to calculate loss on ignition (LOI). More information on these sites can be found here: https://arcg.is/1urP5j
DOI: 10.17026/ar/mk7eq6
title: Archeologisch onderzoek plangebied 150 kV-verkabeling Hattem, gemeente Hattem
title: Inventariserend veldonderzoek door middel van proefsleuven

description: In opdracht van Qirion BV heeft Sweco Nederland B.V. een archeologisch inventarisend 
veldonderzoek door middel van proefsleuven uitgevoerd naar de locatie 150 kV-verkabeling 
te Hattem, gemeente Hattem. De aanleiding voor het uitvoeren van het archeologisch 
proefsleuvenonderzoek is de aanleg van een 150 kV kabel. De huidige bovengrondse 
verbinding wordt ondergronds geplaatst. Hiervoor wordt een kabelsleuf gegraven van 
ca. 18 meter breed. De totale lengte van het tracé is ca. 1,5 km. Naast het tracé wordt een 
opstijgpunt aangelegd, dat een oppervlakte van ca. 1700 m2 heeft. Voorafgaand aan het 
proefsleuvenonderzoek heeft Sweco Nederland een bureauonderzoek en een 
booronderzoek uitgevoerd. Na de resultaten van het bureau- en het booronderzoek is de 
totale lengte van het tracé dat onderzocht is door middel van proefsleuven ca. 93 meters.
DOI: 10.5518/1542
title: Phase evolution and performance of sodium sulfate-activated slag cement pastes
DOI: 10.25921/r1pv-n260
title: Geological History of the World's Oceanic Crust (NCEI Accession 0304215)

description: This dataset contains four companion digital models of the age, age uncertainty, spreading rates and spreading asymmetries of the world's ocean basins as geographic and Mercator grids with two-minute resolution. The grids include data from all the major ocean basins as well as detailed reconstructions of back-arc basins.

NCEI decommissioned the Geological History of the World's Oceanic Crust in May 2025 with no further updates. Comments and questions may be sent to: ncei.info@noaa.gov.
DOI: 10.17026/dans-x7w-s8q2
title: IVO-underwater evaluation of GR-2 (protocol 4103)
title: GR-2, Grevenlingenmeer: IVO-Underwater Report

description: Trident Archaeology was commissioned by WSP to carry out an IVO underwater evaluation (protocol 4103) of GR-2, an anomaly that had been highlighted as of possible archaeological interest. The anomaly is located in the Grevenligenmeer, approximately 100 m south-east off the Preekhillpolder, near Ouddorp. This assessment (SIKB BRL 4000 4.1 protocol 4103 IVO underwater evaluation) is part of the framework of works for the reinforcement of the nearby embankment and follows an initial inventory investigation.&lt;br&gt;The diving operations consisted of exposing a large timber partly buried at the location, record it, sample it, recovery it and re-deposit on site. To evaluate the presence of buried material and understand the stratigraphy of the deposit, a limited campaign of probing and the excavation of a test trench were also carried out. This phase of fieldwork included specialist dendrochronological analyses.&lt;br&gt;The diving work was followed by a sub-bottom profiler survey. This survey revealed the presence of a large, buried feature 10 m north-west of the site and confirmed that the full extent of the buried material at the anomaly location is outside the area directly impacted by the proposed dyke reinforcement.&lt;br&gt;The investigation resulted in the identification of the timber at the anomaly location as part of the stem assembly of a wooden ship. The timber was probably sourced in England and the parent tree was felled at the end of the 16th century.
description: Date Submitted: 2023-09-28
DOI: 10.5281/zenodo.18375835
title: Variability of sprite discharges from ionospheric conductivity perturbations

description: This dataset contains the input files for the paper 'Variability of sprite discharges from ionospheric conductivity perturbations'.

 

The set consists of input files required for running the chombo-discharge code (git hash 8744ea48a9cfdba1a707e4fba65b53966b21f77b). Slurm files are also available for the job submission system in case the files are ran on a computing cluster.
DOI: 10.5281/zenodo.18375836
title: Variability of sprite discharges from ionospheric conductivity perturbations

description: This dataset contains the input files for the paper 'Variability of sprite discharges from ionospheric conductivity perturbations'.

 

The set consists of input files required for running the chombo-discharge code (git hash 8744ea48a9cfdba1a707e4fba65b53966b21f77b). Slurm files are also available for the job submission system in case the files are ran on a computing cluster.
DOI: 10.5281/zenodo.18376105
title: APPLICATION OF 3D VIRTUAL TECHNOLOGY FOR THE DEVELOPMENT OF DIGITAL SHOWCASES FOR FASHION PRODUCTS IN THE DIGITAL AGE

description: The advent of Industry 4.0 necessitates comprehensive operational efficiency through digital optimization, prompting a holistic transformation in the fashion industry from design conceptualization to consumer services. Three-dimensional (3D) Virtual Fashion technology has emerged as a disruptive innovation, fundamentally altering product development and consumer presentation paradigms. Conventional two-dimensional (2D) visualization in e-commerce often lacks precision, leading to significant product return rates due to expectation discrepancies. This study aims to investigate the application of Virtual 3D technology as a solution for developing interactive and realistic digital showcases. Employing an empirical approach to 3D development in contemporary fashion coupled with a literature review, this research explores the integration of features such as 360-degree viewing, virtual try-on, and material texture visualization. The findings indicate that implementing 3D digital showcases enhances consumer engagement while significantly reducing operational costs related to physical sampling and product returns. Ultimately, the adaptation of Virtual 3D technology streamlines production phases, accelerates design validation, and establishes valuable digital assets, ensuring competitiveness and sustainability in the digital economy.
DOI: 10.5281/zenodo.18376104
title: APPLICATION OF 3D VIRTUAL TECHNOLOGY FOR THE DEVELOPMENT OF DIGITAL SHOWCASES FOR FASHION PRODUCTS IN THE DIGITAL AGE

description: The advent of Industry 4.0 necessitates comprehensive operational efficiency through digital optimization, prompting a holistic transformation in the fashion industry from design conceptualization to consumer services. Three-dimensional (3D) Virtual Fashion technology has emerged as a disruptive innovation, fundamentally altering product development and consumer presentation paradigms. Conventional two-dimensional (2D) visualization in e-commerce often lacks precision, leading to significant product return rates due to expectation discrepancies. This study aims to investigate the application of Virtual 3D technology as a solution for developing interactive and realistic digital showcases. Employing an empirical approach to 3D development in contemporary fashion coupled with a literature review, this research explores the integration of features such as 360-degree viewing, virtual try-on, and material texture visualization. The findings indicate that implementing 3D digital showcases enhances consumer engagement while significantly reducing operational costs related to physical sampling and product returns. Ultimately, the adaptation of Virtual 3D technology streamlines production phases, accelerates design validation, and establishes valuable digital assets, ensuring competitiveness and sustainability in the digital economy.
DOI: 10.5281/zenodo.18224469
title: Architecture-Based Energy Consumption Dataset (ABCD)

description: The Architecture-Based Consumption Dataset (ABCD) is a large-scale experimental dataset capturing power, current, and voltage measurements collected during the execution of deep neural network architectures under diverse configurations.

The dataset was generated as part of a PhD thesis at Newcastle University and is intended to support research on power estimation, architectural generalisation, and continual learning for deep neural networks, particularly in resource-constrained or edge-computing settings.
DOI: 10.5281/zenodo.18224468
title: Architecture-Based Energy Consumption Dataset (ABCD)

description: The Architecture-Based Consumption Dataset (ABCD) is a large-scale experimental dataset capturing power, current, and voltage measurements collected during the execution of deep neural network architectures under diverse configurations.

The dataset was generated as part of a PhD thesis at Newcastle University and is intended to support research on power estimation, architectural generalisation, and continual learning for deep neural networks, particularly in resource-constrained or edge-computing settings.
DOI: 10.25921/5mbf-ma56
title: GHRSST Level 2P NOAA ACSPO SST v2.80 from VIIRS on NOAA-21 Satellite (GDS version 2)

description: The N21-VIIRS-L2P-ACSPO-v2.80 dataset produced by the NOAA ACSPO system derives the Subskin Sea Surface Temperature (SST) from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Joint Polar Satellite System (JPSS)-2 satellite, renamed as NOAA-21 (N21). N21 was launched on Nov. 10, 2022, the 3rd satellite in the US NOAA latest JPSS series.

VIIRS L2P SST products are derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system (Jonasson et al. 2022). Data are reported in 10-minute granules in netCDF4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). The ACSPO N21 VIIRS SST record is available back to 19 Mar 2023. In ACSPO products, SSTs are derived using the Non-Linear SST (NLSST) algorithms (Petrenko et al., 2014). An ACSPO clear-sky mask (ACSM) is provided in each pixel as part of variable l2p_flags, which also includes day/night, land, ice, twilight, and glint flags (Petrenko et al., 2010). Only ACSM confidently clear pixels with quality level QL=5 are recommended. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with QL=5.

The ACSPO VIIRS L2P product is monitored and validated against quality controlled in situ data provided by NOAA in situ SST Quality Monitor system (iQuam) using another NOAA system, SST Quality Monitor (SQUAM). A reduced size (0.5GB/day), equal-angle gridded (0.02-deg resolution), ACSPO N21 VIIRS L3U product is also available (10.5067/GHV21-3U280) (Ignatov et al., 2017).
DOI: 10.25921/a1gj-g238
title: Oceanographic data collected from non-federal stations assembled by the Gulf of America Coastal Ocean Observing System (GCOOS)

description: This dataset contains oceanographic and surface meteorological data collected from non-Federal stations throughout the Gulf of America region of the United States. The data is predominantly long time series at fixed moorings and buoys with a variety of instruments including ADCPs, CTDs, fluorometers, oxygen sensors, optical turbidity sensors, pH sensors, meteorological sensors, and water quality sensors. The data files are in netCDF format, following the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Gulf of America Coastal Ocean Observing System (GCOOS), which assembles data from sub-regional coastal and ocean observing systems, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program.
DOI: 10.25921/v2n1-nd14
title: CTD, camera deployment effort, and multibeam data in the North Atlantic Ocean and coastal waters of the Carolinas, Georgia, and Florida in support of the Southeast Fisheries Independent Survey (SEFIS) program beginning in 2010-07-28

description: The accession granules in this collection consist of CTD, XBT, water column sonar, and effort data associated with camera trap deployments during the Southeast Fisheries Independent Survey (SEFIS) program. The SEFIS program began in 2010 and is ongoing. These data are available as .CSV, and .RAW files.
DOI: 10.71636/kp3s-e404
title: Data on student habits and perceived health in the post-pandemic recovery phase [Dataset]

description: [EN]This dataset contains primary data collected from a sample of 1,006 university students at the University of Salamanca (Spain) during the post-pandemic recovery period. The data collection focused on gathering information regarding self-perceived health, lifestyle habits, and psychological well-being in the higher education context. The dataset includes the following groups of variables: Socio-demographic data: Gender, age, and academic field. Health-related lifestyle habits: Dietary patterns, sleep quality, tobacco and alcohol consumption, and physical activity levels. Psychological and health perception: Self-perceived depression, changes in mental health during the pandemic, suicidal ideation, and use of sleep medication. Help-seeking indicators: Perceived need for psychological help, whether the student considered using university support services, and history of attendance at general therapy. All data has been fully anonymized to ensure the privacy and confidentiality of the participants. The structure of the data allows for the study of associations between behavioral patterns and mental health outcomes in the university population.
DOI: 10.57882/20221216-000
title: Rosés and Wolf Database on Regional GDP: (v6, 2020)

description: The Rosés-Wolf database on regional GDP provides data on the economic development of European regions at the level of NUTS-2 regions for the years 1900 - 2015. It contains information of nominal GDP (in 1990 and 2011 PPP), population, area, and on sector-level employment shares. The first version of the data was constructed by a team of researchers based on national historical statistics: Marc Badia-Miró, Erik Buyst, Kerstin Enflo, Emanuele Felice, Frank Geary, Jordi Guilera, Kari Anne Janisse, Peter Sandholt Jensen, Herman de Jong, Martin Henning, Alexander Klein, Julio Martínez-Galarraga, Jørgen Modalsli, Cristina Victoria Radu, Joan Ramon Rosés, Teresa Sanchis, Lennart Schön (†), Max-Stephan Schulze, Paul Richard Sharp, Tom Stark, Dirk Stelder (†), Daniel A. Tirado, Ulrich Woitek, Nikolaus Wolf, and Gabriela Wüthrich.
DOI: 10.57882/20230216-000
title: Datenbank Konjunkturprognosen für Deutschland

description: Die Datenbank umfasst Prognosedaten zur wirtschaftlichen Entwicklung in der Bundesrepublik aus Prognoseberichten von deutschen Wirtschaftsforschungsinstituten, dem Internationalen Währungsfonds (IWF) und der Organisation für wirtschaftliche Zusammenarbeit und Entwicklung (OECD) aus den Jahren 1960 bis 2019.
DOI: 10.57882/20230328-000
title: Zahl immatrikulierter Frauen während des Ersten Weltkriegs
DOI: 10.57882/20230707-000
title: China's Overseas Lending: Replication dataset

description: Compared with China's pre-eminent status in world trade, its role in global finance is poorly understood. This paper studies the size, terms and destination of Chinese official international lending on the basis of a new “consensus” database of 4900 loans and grants to 146 countries, 1949–2017. Using the loan-level lending data we estimate outstanding debt stocks owed to China for more than 100 developing and emerging economies since 2000. As of 2017, China had become the world's largest official creditor, surpassing the World Bank and the IMF. The terms of China's state-driven international loans typically resemble commercial rather than official lending. We also find that 50% of China's official lending to developing countries is not reported in the most widely used official debt statistics. These “hidden” debts have important implications for debt sustainability.
DOI: 10.57882/20230827-000
title: More Than a Feeling: Dataset on media sentiment regarding the Berlin Stock Exchange

description: Data appendix to: Lino Wehrheim/Janos Borst-Graetz/Bernhard Liebl/Manuel Burghardt/Mark Spoerer: More than a Feeling. Introducing an NLP-Based Media Sentiment Index for the Berlin Stock Exchange, 1872–1930, in: Historical Methods: A Journal of Quantitative and Interdisciplinary History 58 (2025), S: 139–159. https://doi.org/10.1080/01615440.2025.2506427. Financial economists and psychologists agree that collective sentiment plays a crucial role in financial markets. We present our newly created data for a daily aspect-based index that captures the sentiment at the Berlin Stock Exchange from 1872 to 1930, a time when Berlin was the key financial market in Germany. This index is based on market reports published every trading day in the Berliner Börsen-Zeitung, which give a verbal description of the sentiment among market participants. Due to daily publication and the long observation period, our corpus consists of about 18,000 market reports. To derive sentiment values, we apply a combination of expert annotation and machine learning. Methdologically, this data covers two novel aspects: First, we focus on both historical and highly domain-specific language, a dual challenge that thus far has rarely been addressed. As there are many similar historical sources, such as reports by chambers of commerce, our solutions will be helpful for future research. Second, we address a characteristic but neglected feature of financial texts that might be relevant also in a broader sentiment analysis context. Particularly, we focus on aspect- and entity-based sentiment analysis. Note: The data was generated in the project „More Than a Feeling: Media Sentiment as a Mirror of Investors’ Expectations at the Berlin Stock Exchange, 1872-1930“
DOI: 10.57882/20231124-000
title: NS-Zwangsarbeiter im Deutschen Reich: Eine Statistik vom 30. September 1944 nach Arbeitsamtsbezirken

description: Datenanhang zu: Mark Spoerer: NS-Zwangsarbeiter im Deutschen Reich. Eine Statistik vom 30. September 1944 nach Arbeitsamtsbezirken, in: Vierteljahrshefte für Zeitgeschichte 49 (2001), S. 665-684, https://www.ifz-muenchen.de/heftarchiv/2001_4_6_spoerer.pdf.
DOI: 10.57882/20231127-000
title: Local minimum wages in Germany, 1885-1914

description: This dataset contains the ‘ortsüblichen Tagelohn gewöhnlicher Tagearbeiter’ (customary local daily wage of ordinary day laborers), which was determined by the German administration in consultation with local authorities and companies when calculating sickness benefits after the introduction of nationwide statutory health insurance in 1883. It was therefore not an average wage, but the lowest wage paid, which interestingly also took into account non-monetary wage benefits. As it was collected nationwide according to uniform criteria, it offers, in comparison with price data, the possibility of determining and comparing real wages and the standard of living in Germany at a very detailed local level. The data set presented here is limited to the reproduction of daily wages for 210 cities; hundreds of other smaller municipalities are listed in the sources cited.
DOI: 10.57882/20231210-000
title: Determinants of mine closures in a declining industry: The example of West German hard-coal mining after World War Two

description: Data appendix to: Tobias A. Jopp: Determinants of mine closures in a declining industry: The example of West German hard-coal mining after World War Two, in: Economics Letters 226, 2023, 111096. https://doi.org/10.1016/j.econlet.2023.111096
DOI: 10.57882/20231211-000
title: War, Bond Prices, and Public Opinion: How Did the Amsterdam Bond Market Perceive the Belligerents' War Effort During World War One?

description: This dataset contains additional data underlying the monograph "War, Bond Prices, and Public Opinion" (2021). For a discussion of the data, please turn to the study's data section, the corresponding Online Appendix availabe on the homepage of Mohr Siebeck (https://www.mohrsiebeck.com/buch/war-bond-prices-and-public-opinion-9783161595363?), and Jopp, Tobias A.: Contemporaries’ opinion on the Allied and Central Powers’ performance during the First World War: Measuring perceptions with sovereign debt prices, in: European Review of Economic History 20(2), 2016, pp. 242-273. https://doi.org/10.1093/ereh/hew001 Contents (daily frequency): - Prolongatiekoers at Amsterdam Stock Exchange (1/1/1914-31/12/1919); - Selected exchange rates at Amsterdam Stock Exchange (1/7/1914-31/12/1919); - Selected Dutch municipal bonds' prices at Amsterdam Stock Exchange (1/1/1914-31/12/1919); - Selected Dutch companies' stock prices at Amsterdam Stock Exchange (1/1/1914-31/12/1919.
DOI: 10.57882/20240101-000
title: Inflation expectations and the recovery from the Great Depression in Germany

description: Data appendix to: Volker Daniel/Lucas ter Steege: Inflation expectations and the recovery from the Great Depression in Germany, in: Explorations in Economic History 75 (2020), https://doi.org/10.1016/j.eeh.2019.101305. A regime shift toward increased inflation expectations is credited with jump-starting the recovery from the Great Depression in the United States. What role did inflation expectations play in Germany that experienced a similarly successful economic upturn in the 1930s? We study inflation expectations in the German recovery across several methods: we conduct a narrative study of media sources; we estimate inflation expectations from a factor-augmented vector autoregression model, real interest rate forecasts, and quantitative news series. Consistently across these approaches, we do not find a shift to increased expected inflation. This recovery was different, and its causes lie elsewhere.