cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8200761
title: Texas Statewide Landcover, Ecological Systems, and Percentage Canopy Classifications (10-meter Resolution) (2021)

description: Statewide landcover, ecosystem, and percentage canopy cover classifications for Texas were mapped at a spatial resolution of 10-meters. Classifications were run for 16 zones across the state corresponding to available cloud-free multitemporal Sentinel-2 satellite imagery for each zone. For each zone, RandomForest classifications were run using data stacks comprised of spectral bands from three dates (winter, early growing season, late growing season/leaf-off) of imagery, as well as multiple vegetation indices (NDVI, EVI2, MSAVI2). Over 50,000 training points were selected from ground trips and high-resolution aerial image surveys to run the entire pixel-based classification. The overlapping zones were merged using a feathering algorithm to produce a single statewide land-cover classification map. The landcover mapping results were further refined using multiple spatial masks (e.g., urban, water, crop) along with logical rulesets and ancillary data. To map ecological systems, the land-cover classification was then intersected with an enduring features dataset derived primarily from soil map-unit polygons (gSSURGO) and other geophysical variables. Additionally, we produced a statewide percentage canopy cover map at a 10-meter spatial resolution using multiple techniques. For the western 2/3 of the Texas, a nested machine learning approach was used (Sunde et al., 2020), and for the eastern 1/3 of the state, a combination of LiDAR derived training data and machine learning was used. This dataset includes four items: <strong>"TX_10m_landcover_2021.zip" - Statewide landcover classification for Texas (10-meter spatial resolution)</strong> <strong>"TX_10m_ecoclass_map_2021.zip" - Statewide ecological systems classification for Texas (10-meter spatial resolution)</strong> <strong>"TX_10m_canopy_cover_2021.zip" - Statewide percentage canopy cover map for Texas (10-meter spatial resolution)</strong> <strong>"TX_lu_ecoclass_key.xlsx" - Table containing keys for the mapped landcover, canopy, and ecological systems classes</strong> (To facilitate display of the datasets within ESRI software, .lyr files are included in the respective archive folders) <em>This work was funded by the Texas A&M Forest Service.</em>
DOI: 10.5281/zenodo.8200760
title: Texas Statewide Landcover, Ecological Systems, and Percentage Canopy Classifications (10-meter Resolution) (2021)

description: Statewide landcover, ecosystem, and percentage canopy cover classifications for Texas were mapped at a spatial resolution of 10-meters. Classifications were run for 16 zones across the state corresponding to available cloud-free multitemporal Sentinel-2 satellite imagery for each zone. For each zone, RandomForest classifications were run using data stacks comprised of spectral bands from three dates (winter, early growing season, late growing season/leaf-off) of imagery, as well as multiple vegetation indices (NDVI, EVI2, MSAVI2). Over 50,000 training points were selected from ground trips and high-resolution aerial image surveys to run the entire pixel-based classification. The overlapping zones were merged using a feathering algorithm to produce a single statewide land-cover classification map. The landcover mapping results were further refined using multiple spatial masks (e.g., urban, water, crop) along with logical rulesets and ancillary data. To map ecological systems, the land-cover classification was then intersected with an enduring features dataset derived primarily from soil map-unit polygons (gSSURGO) and other geophysical variables. Additionally, we produced a statewide percentage canopy cover map at a 10-meter spatial resolution using multiple techniques. For the western 2/3 of the Texas, a nested machine learning approach was used (Sunde et al., 2020), and for the eastern 1/3 of the state, a combination of LiDAR derived training data and machine learning was used. This dataset includes four items: <strong>"TX_10m_landcover_2021.zip" - Statewide landcover classification for Texas (10-meter spatial resolution)</strong> <strong>"TX_10m_ecoclass_map_2021.zip" - Statewide ecological systems classification for Texas (10-meter spatial resolution)</strong> <strong>"TX_10m_canopy_cover_2021.zip" - Statewide percentage canopy cover map for Texas (10-meter spatial resolution)</strong> <strong>"TX_lu_ecoclass_key.xlsx" - Table containing keys for the mapped landcover, canopy, and ecological systems classes</strong> (To facilitate display of the datasets within ESRI software, .lyr files are included in the respective archive folders) <em>This work was funded by the Texas A&M Forest Service.</em>
DOI: 10.5281/zenodo.8410672
title: Dataset for surface spectral emissivity retrieval

description: We provide two databases, one for clear sky conditions and another for cloudy sky conditions, for both January and July 2021. Each database consists of input files for the CLAIM (CLouds and Atmospheric Inversion Module) code, as described in Sgheri et al. 2022, as well as output files. The input files contain data regarding the surface, atmospheric composition, and potential clouds. Additionally, the output files encompass computed variables essential for our analysis, including errors, precipitable water vapor, surface temperature, and thermal contrast.
description: {"references": ["Sgheri et al. (2022): The forum end-to-end simulator project: architecture and results. Atmospheric Measurement Techniques 15(3), 573\u2013604"]}
DOI: 10.5281/zenodo.8410673
title: Dataset for surface spectral emissivity retrieval

description: We provide two databases, one for clear sky conditions and another for cloudy sky conditions, for both January and July 2021. Each database consists of input files for the CLAIM (CLouds and Atmospheric Inversion Module) code, as described in Sgheri et al. 2022, as well as output files. The input files contain data regarding the surface, atmospheric composition, and potential clouds. Additionally, the output files encompass computed variables essential for our analysis, including errors, precipitable water vapor, surface temperature, and thermal contrast.
description: {"references": ["Sgheri et al. (2022): The forum end-to-end simulator project: architecture and results. Atmospheric Measurement Techniques 15(3), 573\u2013604"]}
DOI: 10.6084/m9.figshare.24278062
title: GU0601 metagenome-assembled genomes (MAGs)

description: Freshwater metagenome (Han River, Guri, South Korea)
DOI: 10.6084/m9.figshare.24278062.v1
title: GU0601_Metagenomd-assembled genomes (MAGs)

description: Freshwater metagenome (Han River, Guri, South Korea)
DOI: 10.6084/m9.figshare.24278062.v2
title: GU0601 metagenome-assembled genomes (MAGs)

description: Freshwater metagenome (Han River, Guri, South Korea)
DOI: 10.5281/zenodo.8367178
title: Data for "Ecosystem heating experiment reveals sex-specific growth responses in fish"

description: Data for the paper "Ecosystem heating experiment reveals sex-specific growth responses in fish" in the Canadian Journal of Fisheries and Aquatic Sciences. One file contains the back-calculated fish length-at-age used for all analyses in the study. The other file contains the temperature data used to create Figure S2.
DOI: 10.5281/zenodo.8367177
title: Data for "Ecosystem heating experiment reveals sex-specific growth responses in fish"

description: Data for the paper "Ecosystem heating experiment reveals sex-specific growth responses in fish" in the Canadian Journal of Fisheries and Aquatic Sciences. One file contains the back-calculated fish length-at-age used for all analyses in the study. The other file contains the temperature data used to create Figure S2.
DOI: 10.6084/m9.figshare.24278095
title: <b>Effect of Dulaglutide on Stress Response of Patients in the Treatment of Diabetes Mellitus Complicated with Osteoporosis</b>

description: A total of 108 T2DM patients complicated with OS admitted to our hospital from January 2020 to August 2022 were enrolled as study subjects, including 50 patients who received conventional treatment (control group) and 58 patients who received DU on the basis of conventional treatment (research group). Changes in blood glucose, bone metabolism and bone mineral density (BMD) were compared between the two groups before and after treatment, and malondialdehyde (MDA), superoxide dismutase (SOD), and glutathione peroxidase (GSH-Px) levels were measured. The Visual Analogue Scale (VAS) and the Oswestry Disability Index (ODI) were applied to assess patients’ pain intensity and improvement in functions. Adverse reactions during treatment were statistically analyzed.
DOI: 10.6084/m9.figshare.24278095.v1
title: <b>Effect of Dulaglutide on Stress Response of Patients in the Treatment of Diabetes Mellitus Complicated with Osteoporosis</b>

description: A total of 108 T2DM patients complicated with OS admitted to our hospital from January 2020 to August 2022 were enrolled as study subjects, including 50 patients who received conventional treatment (control group) and 58 patients who received DU on the basis of conventional treatment (research group). Changes in blood glucose, bone metabolism and bone mineral density (BMD) were compared between the two groups before and after treatment, and malondialdehyde (MDA), superoxide dismutase (SOD), and glutathione peroxidase (GSH-Px) levels were measured. The Visual Analogue Scale (VAS) and the Oswestry Disability Index (ODI) were applied to assess patients’ pain intensity and improvement in functions. Adverse reactions during treatment were statistically analyzed.
DOI: 10.5281/zenodo.8424355
title: Extra material for Biomedical Device and Sensors book

description: Biomedical Device and Sensors book Chapter 6, Personal Practice 1, data: Chap6-exercice 1.csv Chapter 6, Personal Practice 2, data: Chap6-exercice 2.csv Chapter 7, example of Adruino code (under CC BY-NC-SA): MPU6050Madwick_V2.zip
DOI: 10.5281/zenodo.8424354
title: Extra material for Biomedical Device and Sensors book

description: Biomedical Device and Sensors book Chapter 6, Personal Practice 1, data: Chap6-exercice 1.csv Chapter 6, Personal Practice 2, data: Chap6-exercice 2.csv Chapter 7, example of Adruino code (under CC BY-NC-SA): MPU6050Madwick_V2.zip
DOI: 10.5519/qd.9xxhpjlv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.8424351
title: Data for "Global observation gaps of peatland greenhouse gas balances: needs and obstacles"

description: Data from literature review for the study "Global observation gaps of peatland greenhouse gas balances: needs and obstacles"
DOI: 10.5281/zenodo.8424350
title: Data for "Global observation gaps of peatland greenhouse gas balances: needs and obstacles"

description: Data from literature review for the study "Global observation gaps of peatland greenhouse gas balances: needs and obstacles"
DOI: 10.5281/zenodo.8417687
title: Haliotis tuberculata sp. hatchery and algae settlement cues

description: Data set of experimental settlement induction of Haliotis tuberculata sp. using red and green algal substrates.
DOI: 10.5281/zenodo.8417686
title: Haliotis tuberculata sp. hatchery and algae settlement cues

description: Data set of experimental settlement induction of Haliotis tuberculata sp. using red and green algal substrates.
DOI: 10.6084/m9.figshare.21751634.v1
title: Magnetotelluric Data and Resistivity Model for Shumagin Gap, Alaska

description: Marine magnetotelluric data and 2-D electrical resistivity model for a profile through the Shumagin Gap, Alaska. See readme.txt file for details.
DOI: 10.4121/1370d230-bca3-4af4-af06-1a9f168a4b10.v1
title: Data underlying the article: A Water-free In Situ HF Treatment of InP Quantum Dots

description: This dataset contains the data underlying the article "A Water-free In Situ HF Treatment of InP Quantum Dots". In this article, treatment of InP quantum dots is performed, after which optical and structural analysis is performed using various techniques. This dataset includes all the raw data of this analysis. A number of different techniques were used, including absorbance measurements, photoluminescence measurements, solution and solid state NMR analysis, XPS analysis and XRD analysis. Of these, raw data are provided. In the readme file, a short description can be found on the interpretation of these data. All data is formatted as .txt files, except the NMR data, which is included as raw fid files. In addition, the results of various DFT calculations are included. These include density of states results, coop calculations and MO data. For the DFT data, python scripts are included for the analysis and interpretation.
DOI: 10.6084/m9.figshare.23228846
title: Electromagnetic and magnetic imaging of the Stillwater Complex, Montana, USA

description: Modelling and analysis of helicopter electromagnetic data result in resistivity and susceptibility models and derivatives of magnetic data that characterise shallow parts of the Stillwater Complex, critical for aiding exploration and expansion of globally scarce critical and battery mineral resources that include platinum group elements, nickel, copper and chromium. The magnetic susceptibly models derived from the electromagnetic data and the tilt derivative of the magnetic data image layering, mafic dikes, banded iron formation, and serpentinised peridotite. Known areas with contact-type mineralisation are generally characterised by low resistivities and susceptibilities where the volume of mineralised rock is large and/or the depth is shallow. We use iso-cluster and edge detection analysis of both resistivities and susceptibilities to identify potential mineralisation in poorly characterised regions as well as faults. Low resistivity layers beneath large landslides reflect water saturated porous slip surfaces which can interfere with drilling. This uncommon approach of tightly linking the resistivity and susceptibility models and magnetic anomaly data to rock property, surficial geologic, drill hole and soil geochemistry data to image the geology in the upper ∼100 m, aids identification of prospective mineralised regions as well landslides and faults that can impact mineral exploration and local hazards.
DOI: 10.6084/m9.figshare.23228846.v1
title: Electromagnetic and magnetic imaging of the Stillwater Complex, Montana, USA

description: Modelling and analysis of helicopter electromagnetic data result in resistivity and susceptibility models and derivatives of magnetic data that characterise shallow parts of the Stillwater Complex, critical for aiding exploration and expansion of globally scarce critical and battery mineral resources that include platinum group elements, nickel, copper and chromium. The magnetic susceptibly models derived from the electromagnetic data and the tilt derivative of the magnetic data image layering, mafic dikes, banded iron formation, and serpentinised peridotite. Known areas with contact-type mineralisation are generally characterised by low resistivities and susceptibilities where the volume of mineralised rock is large and/or the depth is shallow. We use iso-cluster and edge detection analysis of both resistivities and susceptibilities to identify potential mineralisation in poorly characterised regions as well as faults. Low resistivity layers beneath large landslides reflect water saturated porous slip surfaces which can interfere with drilling. This uncommon approach of tightly linking the resistivity and susceptibility models and magnetic anomaly data to rock property, surficial geologic, drill hole and soil geochemistry data to image the geology in the upper ∼100 m, aids identification of prospective mineralised regions as well landslides and faults that can impact mineral exploration and local hazards.
DOI: 10.25403/upresearchdata.24276937
title: Adsorption of aqueous Pb(II) using different metabolically inhibited bacterial cultures from industry

description: Sterilized reactors containing 100 ml of ultrapure water, 1 ml of 1.711 M 𝑁𝑎𝑁𝑂3 salt substitute with metabolically inhibited bacteria, and 100 ppm of Pb(II) were prepared. This will serve as the concentration for the basis of comparison with other microbial strains of the consortium. The reactor was triplicated to ensure repeatability and the Pb(II) removal over a 14 h period was investigated. Reactors were sampled at various time intervals and filtered (0.45 µm) and initial and final pH readings of the samples were measured. The Pb(II) concentration in samples was measured using atomic absorption spectroscopy (Perkin Elmer AAnalyst 400, Waltham, Massachusetts). The sampled adsorptions were fit to a pseudo-first order, two-phase pseudo-first order, pseudo-second order isotherms, and Crank's diffusion model. Batch adsorption experiments were carried out to predict the equilibrium behaviour of the adsorbents. Serum bottles containing 1.352 g/L of adsorbate were prepared with 100 mL of Pb(II) solution in concentrations ranging from 0 - 600 mg/L Pb, and sealed with rubber stoppers. The serum bottles were agitated using a water-bath shaker (Labotec EcoBatch Model 207) at a constant agitation speed of 120 rpm maintained at temperatures of 25°C, 35°C, and 45°C. The pH, as well as lead concentrations, were measured well after equilibrium was reached (24-hrs) using atomic absorbance spectrophotometry (Perkin Elmer, Waltham, Massachusetts). Langmuir, two-surface Langmuir, and Freundlich, models was used in evaluating the relationship between the adsorbate concentration and the amount adsorbed in the aqueous phase at equilibrium. Fourier-transform infrared (FTIR) spectra of the cultures were measured after four successive processes. The first measurement was taken after 24 h growth period of the bacteria. The second measurement was taken after 24 h oven drying of the bacteria at 74 °C. The third measurement was taken after the bacteria was exposed to 100 ppm of 𝑃𝑏(𝑁𝑂<sub>3</sub> )<sub>2</sub>. The last measurement was taken 14 h after the addition of 100 ppm 𝑃𝑏(𝑁𝑂<sub>3</sub>)<sub>2</sub> to the cultures. An attenuated total reflection (ATR) attachment was used in recording spectra on a Perkin Elmer Spectrum 100 FTIR spectrometer. All FTIR spectra were recorded on a wavenumber from 4000 to 500cm<sup>-1</sup> and represent an average of 30 scans. An ultrahigh-resolution filed emission scanning electron microscope (HR FESEM Zeiss Ultra Plus 55, Carl Zeiss AG, Oberkochen, Germany) with an InLens detector was used in studying the particle morphologies of the adsorbents. The scanning electron microscope was also fitted with an energy dispersive Xray spectrophotometer (EDS) which was used in analyzing the elemental composition of the metabolically inhibited adsorbents. <br>
DOI: 10.57841/casdc.0002682
title: ”我国 2020~2060 年低碳能源路线图探索“建议报告数据集
DOI: 10.57841/casdc.0002683
title: 电力&热力&供给系统数据
DOI: 10.57841/casdc.0002684
title: 含N物种对氧化铝的修饰及其对钴基费托合成反应性能的影响
DOI: 10.6084/m9.figshare.7855586
title: Geochemistry of Late Mesozoic volcanic rocks in the central Great Xing’an Range, NE China: petrogenesis and crustal growth in comparison with adjacent areas

description: The central Great Xing’an Range contains widespread exposures of Mesozoic igneous rocks, yet the origin of its Late Mesozoic volcanic rocks has long been controversial. They are composed of andesite, trachyte, trachyandesite, trachydacite, rhyolite, and minor basaltic andesite. The intermediate rocks are enriched in large ion lithophiles and light rare earth elements (LILEs and LREEs) and are depleted in high field strength elements (HFSEs) such as Nb, Ta, and Ti, with positive ε<sub>Hf</sub>(t) values (+6.2 to +13.4) and Hf single-stage model ages (T<sub>DM1</sub> = 556–227 Ma). This indicates that they were derived from the partial melting of a mantle wedge that was modified by previously subducted slab-derived fluids was likely introduced with limited crustal contamination. The felsic rocks show positive ε<sub>Hf</sub>(t) values (+4.3 to +10.2) and Hf two-stage model ages (T<sub>DM2</sub> = 910–544 Ma), with more enrichment of LILEs and LREEs and more depletion of HFSEs and negative Eu anomalies. This indicates that felsic rocks were mainly derived from partial melting of Neoproterozoic accreted quartz-amphibolite facies mafic crust. We summarise the geochronological and Hf-Nd isotope data for Mesozoic igneous rocks within the central Great Xing’an Range (CGXR), the northern Xing’an block (NXB), and the Erguna block (EB), with the aim of constraining the geochronological framework for Mesozoic volcanism and comparing the growth of continental crust. The evolution of Late Mesozoic magmatism in the three areas reached its climax ~125 Ma ago. Our data, together with regional isotope evidence, suggest that crustal accretion of the CGXR occurred during the Neoproterozoic–Phanerozoic. However, that of the EB occurred during the Meso- to Neoproterozoic. The EB exhibits more lateral and vertical heterogeneities and ancient continental crust than the CGXR and NXB in the northern magma source region.
DOI: 10.6084/m9.figshare.7855586.v1
title: Geochemistry of Late Mesozoic volcanic rocks in the central Great Xing’an Range, NE China: petrogenesis and crustal growth in comparison with adjacent areas

description: The central Great Xing’an Range contains widespread exposures of Mesozoic igneous rocks, yet the origin of its Late Mesozoic volcanic rocks has long been controversial. They are composed of andesite, trachyte, trachyandesite, trachydacite, rhyolite, and minor basaltic andesite. The intermediate rocks are enriched in large ion lithophiles and light rare earth elements (LILEs and LREEs) and are depleted in high field strength elements (HFSEs) such as Nb, Ta, and Ti, with positive ε<sub>Hf</sub>(t) values (+6.2 to +13.4) and Hf single-stage model ages (T<sub>DM1</sub> = 556–227 Ma). This indicates that they were derived from the partial melting of a mantle wedge that was modified by previously subducted slab-derived fluids was likely introduced with limited crustal contamination. The felsic rocks show positive ε<sub>Hf</sub>(t) values (+4.3 to +10.2) and Hf two-stage model ages (T<sub>DM2</sub> = 910–544 Ma), with more enrichment of LILEs and LREEs and more depletion of HFSEs and negative Eu anomalies. This indicates that felsic rocks were mainly derived from partial melting of Neoproterozoic accreted quartz-amphibolite facies mafic crust. We summarise the geochronological and Hf-Nd isotope data for Mesozoic igneous rocks within the central Great Xing’an Range (CGXR), the northern Xing’an block (NXB), and the Erguna block (EB), with the aim of constraining the geochronological framework for Mesozoic volcanism and comparing the growth of continental crust. The evolution of Late Mesozoic magmatism in the three areas reached its climax ~125 Ma ago. Our data, together with regional isotope evidence, suggest that crustal accretion of the CGXR occurred during the Neoproterozoic–Phanerozoic. However, that of the EB occurred during the Meso- to Neoproterozoic. The EB exhibits more lateral and vertical heterogeneities and ancient continental crust than the CGXR and NXB in the northern magma source region.