cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7927277
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 1km SIN Grid in 2019

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and monthly temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2019. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2018</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2020</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7927276
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 1km SIN Grid in 2019

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and monthly temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2019. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2018</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2020</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.21227/qkav-2039
title: supplementary materials for article "Control of Cooperative-Transportation Dynamics in Twin-Lift Cranes Suspending a Liquid Container"

description: this document don't have image
DOI: 10.5281/zenodo.7927441
title: Tropical cyclone information during 2001-2020

description: Tropical cyclone information during 2001-2020
DOI: 10.5281/zenodo.7927440
title: Tropical cyclone information during 2001-2020

description: Tropical cyclone information during 2001-2020
DOI: 10.25901/bqat-q078
title: Whroo Flux Data Release 2023_v1
DOI: 10.25345/c56d5pm93
title: MassIVE MSV000091921 - Evolving spike-protein N-glycosylation in SARS-CoV-2 variants
title: It has been three years since SARS-CoV-2 emerged and the world plunged into a "once in a century" pandemic. Since then, multiple waves of infection have swept through the human population, led by variants that were able to evade any acquired immunity. The co-evolution of SARS-CoV-2 variants with human immunity provides an excellent opportunity to study the interaction between viral pathogens and their human hosts. The heavily N-glycosylated spike-protein of SARS-CoV-2 plays a pivotal role in initiating infection and is the target for host immune response, both of which are impacted by host-installed N-glycans. We compared the N-glycan landscape of recombinantly expressed, stabilized, soluble spike-protein trimers representing seven of the most prominent SARS-CoV-2 variants and found that N-glycan processing is conserved at most sites. However, in multiple variants, processing of N-glycans from high mannose- to complex-type is reduced at sites N165, N343 and N616, implicated in spike-protein function.
DOI: 10.5281/zenodo.7927434
title: Data supporting the publication "Quadrature nonreciprocity in bosonic networks without breaking time-reversal symmetry"

description: Data supporting the publication "Quadrature nonreciprocity in bosonic networks without breaking time-reversal symmetry"
DOI: 10.5281/zenodo.7927433
title: Data supporting the publication "Quadrature nonreciprocity in bosonic networks without breaking time-reversal symmetry"

description: Data supporting the publication "Quadrature nonreciprocity in bosonic networks without breaking time-reversal symmetry"
DOI: 10.21994/loar8562
title: Streaming services in the Danish Web archive 2005-2022

description: A collection of screenshots of streaming services' websites and graphical user interfaces as archived in the Danish Web archive (Netarkivet).
DOI: 10.6084/m9.figshare.22807088
title: High belowground bud abundance increases ecosystem recovery from drought across arid and semiarid grasslands

description: We assessed the bud banks, tiller density and their ratios across four years drought and two years recovery in four grasslands of northern China.
DOI: 10.6084/m9.figshare.22807070
title: MAP2B manuscript images and related data/scripts

description: This directory contains all the images, raw data, and scripts of the MAP2B manuscript, including the figures in both the main text and the supplementary materials. As GitHub has a size limit for single files, a compressed archive of all the data in this directory is provided here.
DOI: 10.6084/m9.figshare.22807070.v1
title: MAP2B manuscript images and related data/scripts

description: This directory contains all the images, raw data, and scripts of the MAP2B manuscript, including the figures in both the main text and the supplementary materials. As GitHub has a size limit for single files, a compressed archive of all the data in this directory is provided here.
DOI: 10.25582/data.2022-05.2515460/1930518
title: Data for EMSL Project 51568 from May 2022
DOI: 10.25582/data.2022-05.2515459/1930524
title: Data for EMSL Project 51568 from May 2022
DOI: 10.34740/kaggle/dsv/5666570
title: Sneaker 899-Classification total-50,000-Images
DOI: 10.5439/1973056
title: 1290rwpprecipmom (a0)

description: The radar wind profiler/radio acoustic sounding system (RWP/RASS), available in 915-MHz (for U.S. deployments) and 1290-MHz (for foreign deployments), measures wind profiles and backscattered signal strength between (nominally) 0.1 km and 5 km and virtual temperature profiles between 0.1 km and 2.5 km. However, ARM no longer operates the RASS portion. The RWP transmits electromagnetic energy into the atmosphere in as many as five directions (four tilted in opposing vertical planes and on vertical) and measures the strength and frequency of backscattered energy. Calculation of the Doppler shift of the returned signal allows calculation of the atmospheric wind profile.
DOI: 10.5439/1973059
title: wacraux (a0)

description: The W-band ARM Cloud Radar (WACR) systems are zenith-pointing Doppler radars that probe the extent and composition of clouds at 95.04 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar reports estimates for the first three spectra moments for each range gate up to 15 km. The 0th moment is reflectivity, the 1st moment is radial velocity, and the 2nd moment is spectral width. Also available are the raw spectra files. Unlike the millimeter wavelength cloud radar (MMCR), the WACR does not use pulse coding and operates in only copolarization and cross-polarization modes.
DOI: 10.5439/1973060
title: wacr (a1)

description: The W-band ARM Cloud Radar (WACR) systems are zenith-pointing Doppler radars that probe the extent and composition of clouds at 95.04 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar reports estimates for the first three spectra moments for each range gate up to 15 km. The 0th moment is reflectivity, the 1st moment is radial velocity, and the 2nd moment is spectral width. Also available are the raw spectra files. Unlike the millimeter wavelength cloud radar (MMCR), the WACR does not use pulse coding and operates in only copolarization and cross-polarization modes.
DOI: 10.5439/1973063
title: aosco (01)

description: As of 5 August, 2015, Los Gatos Research (LGR) CO/H2O/N2O analyzer instruments (COANALYZERs) were deployed in the Atmospheric Radiation Measurement (ARM) Aerial Facility (AAF), the third ARM Mobile Facility (AMF3) Aerosol Observing System (AOS), Eastern North Atlantic (ENA) AOS, and Mobile AOS (MAOS-C). The N2O/CO analyzer uses LGR’s patented Off-axis ICOS technology, which employs a high-finesse optical cavity as the measurement cell. LGR’s technology has many proven advantages over conventional first-generation cavity ringdown spectroscopy (CRDS) techniques. In brief, since the laser beam does not have to be resonantly coupled to the measurement cell, precise beam alignment is not critical. Mentors can disassemble the cell for cleaning (CAREFULLY) the front surface mirrors. Analyzers are relatively inexpensive and inherently robust thermally and mechanically. In addition, since LGR’s technology can record reliable absorption spectra over a far wider range of optical depths (absorbance values) than CRDS, LGR analyzers provide measurements over a much wider range of mixing ratios (gas concentrations). The N2O/CO analyzer includes an internal computer that sends real-time data to the local instrument computer through its digital (RS-232) output.
DOI: 10.5439/1973064
title: aosso2 (01)

description: The sulfur dioxide analyzer measures sulfur dioxide based on absorbance of ultraviolet (UV) light at one wavelength by SO2 molecules that then decay to a lower energy state by emitting UV light at a longer wavelength.
DOI: 10.6084/m9.figshare.22689751.v14
title: Mapping annual 10-m maize cropland changes in China during 2017-202

description: Mapping annual 10-m maize cropland changes in China during 2017-2021 <strong>The format of data is: [adcode]_[year].tif</strong> <strong>the [adcode] is a unique code for province of China. (</strong> More detail: DataV.GeoAtlas地理小工具系列 (aliyun.com) <strong>)</strong>
DOI: 10.6084/m9.figshare.22807130
title: <strong>Adrenaline rush in athletes: Visualizing glucose fluctuations during high-intensity races</strong>

description: Under stressful or exciting conditions, athletes can perform beyond their typical capabilities during a so-called “adrenaline rush.” In the preliminary study by one sub-elite runner, we found that even in the fasted state, hyperglycemia occurs during high loaded running by the fact that both blood glucose and interstitial fluid glucose levels rose rapidly to 11-12 mM. This suggests that glycogen in the liver is degraded by anti-stress hormones, leading to an increase in glucose concentration. In the next, we analyzed the temporal changes in interstitial glucose concentration before, during, and after races using continuous glucose monitoring (CGM) data obtained from a total of 36 elite long-distance athletes including walking race (non-fasting state). We found that even healthy subjects recorded high glucose levels (mean 8.3 ± 1.5 mM) before the start of the race and the glucose fluctuations during the race were also recorded at 11.2 ± 2.2 mM, suggesting not only blood glucose level fluctuation due to supplementation before the races, but also due to the effects of stress hormones such as epinephrine, cortisol and glucagon. Furthermore, the mean glucose level during the daytime for the three days before the race event was significantly different by 0.3 mM (p&lt;0.001) compared to the mean during the daytime for the three days after the race. These results suggested that efficient utilization of liver glycogen is important to keep high performance throughout the race, since the liver glycogen also consumed under stress.
DOI: 10.5281/zenodo.7829624
title: Anypodetus dichotomous, pathway key in SDD-format

description: Dichotomous, pathway key to species of genus Anypodetus (Diptera: Asilidae) developed with Lucid Builder v4 in XML Structure of Descriptive Data (SDD) format.
DOI: 10.5281/zenodo.7829623
title: Anypodetus dichotomous, pathway key in SDD-format

description: Dichotomous, pathway key to species of genus Anypodetus (Diptera: Asilidae) developed with Lucid Builder v4 in XML Structure of Descriptive Data (SDD) format.
DOI: 10.5519/qd.l6ti5dej
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (53 records)
DOI: 10.6084/m9.figshare.22309213.v8
title: Targeting Cancer Cell Signaling Using Precision Oncology Towards a Holistic Approach to Cancer Therapeutics

description: The mutational changes occurring in the regulatory genes responsible for the maintenance of optimal cell growth and proliferation gradually lead to cancer progression and metastasis. Furthermore, patients with the same cancer types often respond differently to different cancer therapies, indicating the need for a patient-specific treatment regimen for the disease. Precision oncology is the new field of cancer research that relies on genetic profiling of individual tumors to identify targetable alterations for custom-tailored personalized treatment of the disease. It is to rely upon the genomic study of cancer cells to get a clear picture of the prognosis and pathways involved in disease progression and to look for the means to selectively target them for a cure. This article intends to briefly explain the foundations and frontiers of precision oncology in the context of technological advances being made in this direction to assess its scope and importance in the realization of a proper cure for cancer.
DOI: 10.57841/casdc.0000547
title: MoS2(1-x)Se2xSnS2(1-y)Se2y异质结材料数据集
DOI: 10.5281/zenodo.7927432
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 1km SIN Grid in 2018

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and monthly temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2018. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2017</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2019</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2018 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7927431
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 1km SIN Grid in 2018

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 1 km spatial resolution and monthly temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 1 km resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2018. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2017</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2019</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2018 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7927563
title: 18S rDNA OTU table of fungal community in a tropical forest

description: This study aims to elucidate how fungal community responses to N deposition
DOI: 10.18170/dvn/ynbxr7
title: Supplementay data for "Prevalence and Clinical Characteristics of PDX1 Variant Induced-Diabetes in Chinese Early Onset Type 2 Diabetes"

description: Supplementay data for "Prevalence and Clinical Characteristics of PDX1 Variant Induced-Diabetes in Chinese Early Onset Type 2 Diabetes"
DOI: 10.21227/skcm-sw68
title: "Uncovering the Dark Side of Science:  Exposing Predatory Research Practices"

description: The unethical practices in science that the essay "Uncovering the Dark Side of Science: Exposing Predatory Research Practises" reveals are known as predatory research practices. The work demonstrates how these practices significantly undermine the integrity and dependability of scientific research and may lead to detrimental effects for persons and society. The writers investigate many unethical writing practices, including making up data and plagiarising others' work. This page aspires to educate readers about these practices and suggest how academics, publishers, and other relevant organisations might collaborate to address them. Ultimately, the essay underlines the need to support ethical norms in scientific research to retain public confidence and guarantee that analysis is performed openly and responsibly.Keywords: unethical writing practices, unethical research practices, the integrity of scientific research, plagiarism, data falsification, academic cooperation, ethical standards, scientific research, and public trust.
DOI: 10.6084/m9.figshare.22807340.v1
title: Additional file 2 of Public relations strategies employed by the Ghana Health Service to address COVID-19 vaccine hesitancy: a qualitative inquiry

description: Additional file 2: S2 Appendix B: Data file.
DOI: 10.6084/m9.figshare.22807340
title: Additional file 2 of Public relations strategies employed by the Ghana Health Service to address COVID-19 vaccine hesitancy: a qualitative inquiry

description: Additional file 2: S2 Appendix B: Data file.
DOI: 10.6084/m9.figshare.22807370
title: Additional file 1 of The size and composition of haplotype reference panels impact the accuracy of imputation from low-pass sequencing in cattle

description: Additional file 1. Raw data: accession numbers and mapping file.
DOI: 10.6084/m9.figshare.22807370.v1
title: Additional file 1 of The size and composition of haplotype reference panels impact the accuracy of imputation from low-pass sequencing in cattle

description: Additional file 1. Raw data: accession numbers and mapping file.
DOI: 10.6084/m9.figshare.22807373
title: Additional file 2 of The size and composition of haplotype reference panels impact the accuracy of imputation from low-pass sequencing in cattle

description: Additional file 2. Composition of parent-offspring pairs and trios for Mendelian consistency check.
DOI: 10.6084/m9.figshare.22807373.v1
title: Additional file 2 of The size and composition of haplotype reference panels impact the accuracy of imputation from low-pass sequencing in cattle

description: Additional file 2. Composition of parent-offspring pairs and trios for Mendelian consistency check.
DOI: 10.6084/m9.figshare.22807446
title: Additional file 4 of High-dose polyethylene glycol-3350 and gatorade solutions for patients with previous inadequate bowel preparations for colonoscopy are safe and effective

description: Additional file 4. High Dose Preparation Solutions for Difficult to Clean Colons.
DOI: 10.6084/m9.figshare.22807446.v1
title: Additional file 4 of High-dose polyethylene glycol-3350 and gatorade solutions for patients with previous inadequate bowel preparations for colonoscopy are safe and effective

description: Additional file 4. High Dose Preparation Solutions for Difficult to Clean Colons.
DOI: 10.6084/m9.figshare.22807466
title: Additional file 7 of Genome-wide identification of Brassicaceae histone modification genes and their responses to abiotic stresses in allotetraploid rapeseed

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.22807466.v1
title: Additional file 7 of Genome-wide identification of Brassicaceae histone modification genes and their responses to abiotic stresses in allotetraploid rapeseed

description: Supplementary Material 7