cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jwtzwhtbkv.1
title: Volatile fatty acids from oxidation liquefaction of the end-of-life wind turbine blades - GC analysis

description: The oxidative liquefaction method was used to get the chromatographic data shown here. This method has been used to break down the polymer matrix of wind turbine blades and measure the resin degradation yield. In this experiment, the effects of five different parameters, such as reaction temperature, residence time, pressure, waste-to-liquid ratio, and oxidant concentration, on resin degradation were studied in detail. Experiments were performed in the temperature range of 250°C to 350°C with a residence time of 30 to 90 minutes, at a pressure of 20 to 40 bar, a waste-to-liquid ratio of 5-25%, and oxidant concentrations of 15-45% by weight. The GC method was used to analyse an achive liquid sample after the oxidative liquefaction process.
DOI: 10.17632/jwtzwhtbkv.2
title: Volatile fatty acids from oxidation liquefaction of the end-of-life wind turbine blades - GC analysis

description: The oxidative liquefaction method was used to get the chromatographic data shown here. This method has been used to break down the polymer matrix of wind turbine blades and measure the resin degradation yield. In this experiment, the effects of five different parameters, such as reaction temperature, residence time, pressure, waste-to-liquid ratio, and oxidant concentration, on resin degradation were studied in detail. Experiments were performed in the temperature range of 250°C to 350°C with a residence time of 30 to 90 minutes, at a pressure of 20 to 40 bar, a waste-to-liquid ratio of 5-25%, and oxidant concentrations of 15-45% by weight. The GC method was used to analyse an achive liquid sample after the oxidative liquefaction process.
DOI: 10.21233/jg00-jr58
title: Lamoka Lake vertebrate fauna dataset

description: Raw data for the Lamoka Lake vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ryhe-dd72
title: LDDsite2716 ostracode surface sample dataset

description: Raw data for the LDDsite2716 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ybfn-w329
title: Glenns Ferry, Lizard Butte Area [Froman Ferry Fauna Succession] vertebrate fauna dataset

description: Raw data for the Glenns Ferry, Lizard Butte Area [Froman Ferry Fauna Succession] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/ps8wkdfmj3.1
title: ‘HOW I FRAME SOCIAL ISSUES…’: FILMMAKERS’ COMMAND OF NOLLYWOOD NARRATIVES

description: These are Frame Analysis of selected Nollywood films using five units of analysis including camera angles and movements, dialogue and sound, characterisation, non-verbal communication, and frame to understand how presentation of social issues are made.
DOI: 10.17632/btbff8krrm.1
title: Oxygenated chemical compounds from oxidation liquefaction of the municipal solid waste (MSW) and personal protective equipment (PPE) - GC analysis

description: The oxidative liquefaction method was used to get the chromatographic data shown here. This method has been used to break down the polymer matrix of municipal solid waste (MSW) and personal protective equipment (PPE) measure the resin degradation yield. In this experiment, the effects of five different parameters, such as reaction temperature, residence time, pressure, waste-to-liquid ratio, and oxidant concentration, on resin degradation were studied in detail. Experiments were performed in the temperature range of 200°C to 300°C with a residence time of 45 minutes, at a pressure of 30 bar, a waste-to-liquid ratio of 3-37,5%, and oxidant concentrations of 30-60% by weight. The GC method was used to analyse an achive liquid sample after the oxidative liquefaction process.
DOI: 10.17632/btbff8krrm.2
title: Oxygenated chemical compounds from oxidation liquefaction of the municipal solid waste (MSW) and personal protective equipment (PPE) - GC analysis

description: The oxidative liquefaction method was used to get the chromatographic data shown here. This method has been used to break down the polymer matrix of municipal solid waste (MSW) and personal protective equipment (PPE) measure the resin degradation yield. In this experiment, the effects of five different parameters, such as reaction temperature, residence time, pressure, waste-to-liquid ratio, and oxidant concentration, on resin degradation were studied in detail. Experiments were performed in the temperature range of 200°C to 300°C with a residence time of 45 minutes, at a pressure of 30 bar, a waste-to-liquid ratio of 3-37,5%, and oxidant concentrations of 30-60% by weight. The GC method was used to analyse an achive liquid sample after the oxidative liquefaction process.
DOI: 10.17632/btbff8krrm
title: Oxygenated chemical compounds from oxidation liquefaction of the municipal solid waste (MSW) and personal protective equipment (PPE) - GC analysis

description: The oxidative liquefaction method was used to get the chromatographic data shown here. This method has been used to break down the polymer matrix of municipal solid waste (MSW) and personal protective equipment (PPE) measure the resin degradation yield. In this experiment, the effects of five different parameters, such as reaction temperature, residence time, pressure, waste-to-liquid ratio, and oxidant concentration, on resin degradation were studied in detail. Experiments were performed in the temperature range of 200°C to 300°C with a residence time of 45 minutes, at a pressure of 30 bar, a waste-to-liquid ratio of 3-37,5%, and oxidant concentrations of 30-60% by weight. The GC method was used to analyse an achive liquid sample after the oxidative liquefaction process.
DOI: 10.17632/btbff8krrm.3
title: Oxygenated chemical compounds from oxidation liquefaction of the municipal solid waste (MSW) and personal protective equipment (PPE) - GC analysis

description: The oxidative liquefaction method was used to get the chromatographic data shown here. This method has been used to break down the polymer matrix of municipal solid waste (MSW) and personal protective equipment (PPE) measure the resin degradation yield. In this experiment, the effects of five different parameters, such as reaction temperature, residence time, pressure, waste-to-liquid ratio, and oxidant concentration, on resin degradation were studied in detail. Experiments were performed in the temperature range of 200°C to 300°C with a residence time of 45 minutes, at a pressure of 30 bar, a waste-to-liquid ratio of 3-37,5%, and oxidant concentrations of 30-60% by weight. The GC method was used to analyse an achive liquid sample after the oxidative liquefaction process.
DOI: 10.17632/btptkmr3ky.1
title: Data of the paper "Volcanogenic Controls on Coupled Fe-S-P Cycling in a Lacustrine Basin: Deciphering Mechanisms of Extreme Organic Carbon Enrichment"

description: Black shales serve as primary archives of organic carbon, preserving critical records of elemental cycling dynamics within carbon sequestration systems. Nevertheless, achieving a comprehensive understanding of biogeochemical cycling processes in lacustrine shale systems remains challenging due to superimposed geological modifications during prolonged burial processes. This investigation employs an integrated stratigraphic-geochemical methodology to elucidate volcanic material-inducedbeij perturbations in Fe-S-P coupling mechanisms and their consequent impacts on organic carbon preservation within Upper Triassic lacustrine shales of the Ordos Basin, North China Platform. Petrographic analysis reveals that organic carbon enrichment demonstrates genetic associations with volcanic inputs, though peak carbon accumulation intervals stratigraphically lag behind tuffaceous depositional events. The volcanic inputs introduced substantial Fe, P, and S into the lacustrine basin. Volcanogenic atmospheric fertilization stimulated proliferation of coccolithophores, lamellibranch, and actinopterygian assemblages within the lacustrine ecosystem, yet sustained nutrient replenishment over million-year timescales proved geochemically untenable. Crucially, volcanic-derived phosphorus became effectively sequestered via iron oxide adsorption and biomineralization processes in sedimentary matrices during this stage. Sulfate influx modulated bacterially mediated redox pathways, enhancing bacterial sulfate reduction (BSR) while suppressing dissimilatory iron reduction (DIR), thereby transitioning the redox regimes to euxinic conditions. During this process, Fe³⁺ in phosphorus-bearing iron (oxides) was reduced to Fe²⁺ and subsequently removed via pyrite formation. Subsequent phosphate remobilization from phosphorus-rich sediments under anoxic bottom water conditions established a positive feedback mechanism that sustained lacustrine productivity over geological timescales, ultimately facilitating exceptional organic matter preservation. This research highlights lacustrine nutrient cycling dynamics as critical amplifiers of carbon burial efficiency following volcanic material perturbations, providing mechanistic insights into continental carbon sink operations and long-term sequestration processes.
DOI: 10.21233/6smr-aw03
title: Lake Tai ostracode surface sample dataset

description: Raw data for the Lake Tai ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.48677/34b7f7b4-1acc-45cc-b0a2-6215190a710b
title: ALS DTM CRS3035RES50000mN2750000E4550000 Höhenraster 1m Stichtag 15.09.2024

description: Das digitale Geländehöhenmodell (DGM, engl.: DTM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter angeordnet und in Lage und Höhe georeferenziert sind. Die hochauflösenden ALS-DGM Daten wurden mittels Airborne Laser Scanning - Technologien erfasst und sind ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder.

Eignung/Nutzung
• Grundlage für Orthophotoberechnung
• Planungsgrundlage
• Umweltschutz
• Nachrichtentechnik
• Geologie
• Hydrologie
• Landwirtschaft
• Kartographie

Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
Die Aktualität finden Sie in der zugehörigen Serie unter „Downloads, Ansichten und Links“ in der Aktualitätsübersicht.
DOI: 10.21233/ka50-pf85
title: Quill Cave [10CR197] vertebrate fauna dataset

description: Raw data for the Quill Cave [10CR197] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.48677/63a3a819-c38b-48ca-b265-141ecfe5c422
title: ALS DTM CRS3035RES50000mN2750000E4600000 Höhenraster 1m Stichtag 15.09.2024

description: Das digitale Geländehöhenmodell (DGM, engl.: DTM) beschreibt die Erdoberfläche (natürlicher Boden, ohne Bewuchs) in Form von Punktmengen, die in einem regelmäßigen Gitter angeordnet und in Lage und Höhe georeferenziert sind. Die hochauflösenden ALS-DGM Daten wurden mittels Airborne Laser Scanning - Technologien erfasst und sind ein Kooperationsprodukt der österreichischen behördlichen Geodatenprovider des Bundes und der Länder.

Eignung/Nutzung
• Grundlage für Orthophotoberechnung
• Planungsgrundlage
• Umweltschutz
• Nachrichtentechnik
• Geologie
• Hydrologie
• Landwirtschaft
• Kartographie

Dies ist eine von insgesamt 55 Kacheln, welche zusammen das Gebiet Österreich abdecken.

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
Die Aktualität finden Sie in der zugehörigen Serie unter „Downloads, Ansichten und Links“ in der Aktualitätsübersicht.
DOI: 10.17632/74j83cr9rz.1
title: Mitigating Foreign Fossil Fuel Shocks: The Role of Renewable Energy and Industrial Electrification in the Netherlands

description: This project uses a macroeconomic (computable general equilibrium) model to study the role of the energy transition in reducing the exposure to foreign fossil fuel shocks. 

All the input data and code necessary for replication are available in https://github.com/ThreeME-org/ThreeME_V3-open/tree/NLD-GAS-PRICE-ECOMOD2025. This GitHub repository includes the supply and use tables of the Netherlands used for the calibration of the macroeconomic model, as well as the information pertaining to the different scenarios analyzed (see further details in 'Manual for running ThreeME.pdf') .

In addition to this, 'ThreeMEOutput_CMODE.xlsx' contains the all the output of the macroeconomic model and replicates the figures obtained from this output as reported in Boonman, H. and Rodriguez, M. (2025) “Mitigating Foreign Fossil Fuel Shocks: The Role of Renewable Energy and Industrial Electrification in the Netherlands”. Both the manual and output files are also available via https://github.com/ThreeME-org/ThreeME_V3-open/NLD-GAS-PRICE-ECOMOD2025
DOI: 10.15468/dl.tnxjqx
title: Occurrence Download

description: A dataset containing 1519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polygala japonica Houtt.",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1519 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021727-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8fmvr9m98w.1
title: SignAlphaSet

description: This dataset comprises 26,000 images representing American Sign Language (ASL) hand gestures corresponding to the English alphabet (A-Z). The dataset is organized into 26 folders, each labeled with a corresponding letter, containing multiple image samples to ensure variability in hand positioning, lighting, and individual hand differences. The images capture diverse hand gestures, making the dataset suitable for machine learning applications such as sign language recognition, computer vision, and deep learning-based classification tasks. When evaluated using an LSTM-based model, the dataset achieved high accuracy in sign recognition, demonstrating its effectiveness in sequential gesture learning.
DOI: 10.17632/8fmvr9m98w.2
title: SignAlphaSet

description: This dataset comprises 26,000 images & 300 videos representing American Sign Language (ASL) hand gestures corresponding to the English alphabet (A-Z) & 5 gestures such as "Hello", "Thank You", "Sorry", "Yes" & "No". The dataset is organized into 26 folders, each labeled with a corresponding letter, containing multiple image samples to ensure variability in hand positioning, lighting, and individual hand differences. Similarly, the dynamic dataset contains 31 folders with 10 sample videos of each gesture, each folder also contains separate frames of the video in .jpg format. The images capture diverse hand gestures, making the dataset suitable for machine learning applications such as sign language recognition, computer vision, and deep learning-based classification tasks. When evaluated using an LSTM-based model, the dataset achieved high accuracy in sign recognition, demonstrating its effectiveness in sequential gesture learning.
DOI: 10.21233/jvwm-gt64
title: LDDsite3520 ostracode surface sample dataset

description: Raw data for the LDDsite3520 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/8fmvr9m98w.3
title: SignAlphaSet

description: This dataset comprises 26,000 images & 300 videos representing American Sign Language (ASL) hand gestures corresponding to the English alphabet (A-Z) & 5 gestures such as "Hello", "Thank You", "Sorry", "Yes" & "No". The dataset is organized into 26 folders, each labeled with a corresponding letter, containing multiple image samples to ensure variability in hand positioning, lighting, and individual hand differences. Similarly, the dynamic dataset contains 31 folders with 10 sample videos of each gesture, each folder also contains separate frames of the video in .jpg format. The images capture diverse hand gestures, making the dataset suitable for machine learning applications such as sign language recognition, computer vision, and deep learning-based classification tasks. When evaluated using an LSTM-based model, the dataset achieved high accuracy in sign recognition, demonstrating its effectiveness in sequential gesture learning.
DOI: 10.48457/iopan-2024-204
title: Comeback Benthic Dissolved Inorganic Carbon Fluxes

description: Dissolved Inorganic Carbon (DIC) flux [mmol m-2 d-1] measured in cores (core height: 30 cm; core diameter: 11.43 cm; sampling area: approx. 0.01 m-2) collected by hand directly from the seabed or box corer during Comeback project in the southern Baltic Sea, along Polish coast. Sampling took place from 3.04.2019 to 27.01.2020, during spring, autumn and winter, and additionally from the shore during summer, at depths from 0.5m to 63m. Details of sampling, measurements and DIC analysis are described in Silberberger et al. 2022 (https://doi.org/10.1007/s12237-022-01074-w).
DOI: 10.17632/k2m375429f.1
title: Barium isotope variation during granitic magma differentiation: implications for the discrimination of crystal fractionation and fluid-magma interaction

description: The Supplementary Material includes: 

Table S1 The main mineral proportions (vol. %) for representative samples;
Table S2 Whole-rock major and trace element compositions for syn-exhumation granites;
Table S3 Partition coefficient of trace elements, the Ba isotope composition of minerals and the composition of starting material in the modeling;
Table S4 Dehydration melting process and water-present melting process modeling by GeoPS;
Table S5 Fractional crystallization modeling by Rhyolite-MELTS;

Fig. S1 Micro X-ray fluorescence spectrometer image of the representative syn-exhumation granites;
Fig. S2 Correlations among major oxide contents for the syn-exhumation granites;
Fig. S3 Correlations among major oxide contents for melt formed through dehydration melting;
Fig. S4 The effect of partial melting on Ba isotope compositions of melt;
Fig. S5 Chondrite-normalized REE patterns for syn-exhumation granites;
Fig. S6 The modal contents of crystallizing mineral assemblage during fractional crystallization.
DOI: 10.17632/k2m375429f.2
title: Barium isotope variation during granitic magma differentiation: implications for the discrimination of crystal fractionation and fluid-magma interaction

description: The Supplementary Material includes: 

Table S1 The main mineral proportions (vol. %) for representative samples;
Table S2 Whole-rock major and trace element compositions for syn-exhumation granites;
Table S3 Partition coefficient of trace elements, the Ba isotope composition of minerals and the composition of starting material in the modeling;
Table S4 Dehydration melting process modeling by GeoPS;
Table S5 Fractional crystallization modeling by Rhyolite-MELTS;

Fig. S1 Correlations among major oxide contents for the syn-exhumation granites;
Fig. S2 Correlations among major oxide contents for melt formed through dehydration melting;
Fig. S3 The effect of partial melting on Ba isotope compositions of melt;
Fig. S4 The modal contents of crystallizing mineral assemblage during fractional crystallization;
Fig. S5 Chondrite-normalized REE patterns for syn-exhumation granites.
DOI: 10.17632/k2m375429f.3
title: Barium isotope variation during granitic magma differentiation: implications for the discrimination of crystal fractionation and fluid-magma interaction

description: The Supplementary Material includes: 

Table S1 The main mineral proportions (vol. %) for representative samples;
Table S2 Whole-rock major and trace element compositions for syn-exhumation granites;
Table S3 Partition coefficient of trace elements, the Ba isotope composition of minerals and the composition of starting material in the modeling;
Table S4 Dehydration melting process modeling by GeoPS;
Table S5 Fractional crystallization modeling by Rhyolite-MELTS;

Fig. S1 Correlations among major oxide contents for the syn-exhumation granites;
Fig. S2 Correlations among major oxide contents for melt formed through dehydration melting;
Fig. S3 The effect of partial melting on Ba isotope compositions of melt;
Fig. S4 Chondrite-normalized REE patterns for syn-exhumation granites;
Fig. S5 The modal contents of crystallizing mineral assemblage during fractional crystallization.
DOI: 10.17632/hvbp5mdtxx.1
title: Complex Refractive Indices of Ginseng/American Ginseng Tablets

description: The data are the computed THz complex refractive indices of ginseng/American ginseng tablets. After decompression, in total there are 42 datas. In "data_n.xlsx" files (n = 1~6), the first row specifies the species of ginseng (G: Ginseng; AG: American Ginseng, the number behind AG&G is internal recognition code). Starting from row #2 to #66 are the real refractive indices of the tablets, which can be associated to a frequency axis of linspace(0.2e12, 1.6e12, 65) with matlab. Similarly, row #67 to #131 stands for absorption coefficient (in 1/cm), and can be corresponded to the same frequency axis. In "label_n.xlsx" files,
DOI: 10.17632/k2m375429f.4
title: Barium isotope variation during granitic magma differentiation: implications for the discrimination of crystal fractionation and fluid-magma interaction

description: The Supplementary Material includes: 

Table S1 The main mineral proportions (vol. %) for representative samples;
Table S2 Whole-rock major and trace element compositions for syn-exhumation granites;
Table S3 Partition coefficient of trace elements, the Ba isotope composition of minerals and the composition of starting material in the modeling;
Table S4 Dehydration melting process modeling by GeoPS;
Table S5 Fractional crystallization modeling by Rhyolite-MELTS;

Fig. S1 Correlations among major oxide contents for the syn-exhumation granites;
Fig. S2 Correlations among major oxide contents for melt formed through dehydration melting;
Fig. S3 The effect of partial melting on Ba isotope compositions of melt;
Fig. S4 Chondrite-normalized REE patterns for syn-exhumation granites;
Fig. S5 The modal contents of crystallizing mineral assemblage during fractional crystallization.