cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22766963.v1
title: Life in plastic, it's not fantastic: Sublethal effects of polyethylene microplastics ingestion throughout amphibian metamorphosis

description: Microplastics (MP) are an abundant, long-lasting, and widespread type of environmental pollution that is of increasing concern as it might pose a serious threat to ecosystems and species. However, these threats are still largely unknown for amphibians. Here, we used the African clawed frog (<em>Xenopus laevis</em>) as a model species to investigate whether polyethylene MP ingestion affects amphibian growth and development and leads to metabolic changes across two consecutive life stages (larvae and juveniles). Furthermore, we examined whether MP effects were more pronounced at higher rearing temperatures. Larval growth, development, and body condition were recorded, and standard metabolic rate (SMR) and levels of stress hormone (corticosterone, CORT) were measured. We determined variation in size, morphology, and hepatosomatic index in juveniles to identify any potential consequences of MP ingestion across metamorphosis. In both life stages, MP accumulation in the body was assessed. MP ingestion was found to result in sublethal effects on larval growth, development, and metabolism, to lead to allometric carry-over effects on juvenile morphology, and to accumulate in the specimens at both life stages. In larvae, SMR and developmental rate increased in response to MP ingestion; there additionally was a significant interaction of MP ingestion and temperature on development. CORT levels were higher in larvae that ingested MP, except at higher temperature. In juveniles, body was wider, and extremities were longer in animals exposed to MP during the larval stage; a high rearing temperature in combination with MP ingestion counteracted this effect. Our results provide first insights into the effects of MP on amphibians throughout metamorphosis and demonstrate that juvenile amphibians may act as a pathway for MP from freshwater to terrestrial environments. To allow for generalizations across amphibian species, future experiments need to consider the field prevalence and abundance of different MP in amphibians at various life stages.
DOI: 10.5281/zenodo.7897869
title: Chapter 10 Image set for the book, "Data Science for Nano Image Analysis"

description: <br> This is the image set used in Chapter 10 of the book, "Data Science for Nano Image Analysis".
description: {"references": ["C. Park and Y. Ding, 2021, Data Science for Nano Image Analysis, 384 pages, Cham, Switzerland: Springer Nature"]}
DOI: 10.5281/zenodo.7897868
title: Chapter 10 Image set for the book, "Data Science for Nano Image Analysis"

description: <br> This is the image set used in Chapter 10 of the book, "Data Science for Nano Image Analysis".
description: {"references": ["C. Park and Y. Ding, 2021, Data Science for Nano Image Analysis, 384 pages, Cham, Switzerland: Springer Nature"]}
DOI: 10.5517/ccdc.csd.cc2c2g0y
title: CCDC 2177099: Experimental Crystal Structure Determination

description: Related Article: Yoshio Ando, Daichi Ogawa, Ken Ohmori, Keisuke Suzuki|2023|Angew.Chem.,Int.Ed.|62|e202213682|doi:10.1002/anie.202213682
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c2g1z
title: CCDC 2177100: Experimental Crystal Structure Determination

description: Related Article: Yoshio Ando, Daichi Ogawa, Ken Ohmori, Keisuke Suzuki|2023|Angew.Chem.,Int.Ed.|62|e202213682|doi:10.1002/anie.202213682
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c2g20
title: CCDC 2177101: Experimental Crystal Structure Determination

description: Related Article: Yoshio Ando, Daichi Ogawa, Ken Ohmori, Keisuke Suzuki|2023|Angew.Chem.,Int.Ed.|62|e202213682|doi:10.1002/anie.202213682
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c2g31
title: CCDC 2177102: Experimental Crystal Structure Determination

description: Related Article: Yoshio Ando, Daichi Ogawa, Ken Ohmori, Keisuke Suzuki|2023|Angew.Chem.,Int.Ed.|62|e202213682|doi:10.1002/anie.202213682
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7897871
title: Chapter 11 Image set for the book, "Data Science for Nano Image Analysis"

description: This is the image set used in Chapter 11 of the book, "Data Science for Nano Image Analysis".
description: {"references": ["C. Park and Y. Ding, 2021, Data Science for Nano Image Analysis, 384 pages, Cham, Switzerland: Springer Nature"]}
DOI: 10.5281/zenodo.7897870
title: Chapter 11 Image set for the book, "Data Science for Nano Image Analysis"

description: This is the image set used in Chapter 11 of the book, "Data Science for Nano Image Analysis".
description: {"references": ["C. Park and Y. Ding, 2021, Data Science for Nano Image Analysis, 384 pages, Cham, Switzerland: Springer Nature"]}
DOI: 10.5281/zenodo.7897822
title: Chapter 2 Image Data of the book "Data Science for Nano Image Analysis"

description: This is the image set used in Chapter 2 of the book, "Data Science for Nano Image Analysis", by Park and Ding, 2021, Springer Nature
description: {"references": ["C. Park and Y. Ding, 2021, Data Science for Nano Image Analysis, 384 pages, Cham, Switzerland: Springer Nature"]}
DOI: 10.5281/zenodo.7897821
title: Chapter 2 Image Data of the book "Data Science for Nano Image Analysis"

description: This is the image set used in Chapter 2 of the book, "Data Science for Nano Image Analysis", by Park and Ding, 2021, Springer Nature
description: {"references": ["C. Park and Y. Ding, 2021, Data Science for Nano Image Analysis, 384 pages, Cham, Switzerland: Springer Nature"]}
DOI: 10.5281/zenodo.7897865
title: Technoableism & Social Media: TikTok Dataset (v1)

description: This dataset draws upon metadata scraped from TikTok using Deen Freelon's python module, "Pyktok." It contains metadata from TikTok videos obtained with Pyktok, using keywords and video IDs; notes relating to video content; brief summary statistics; and word frequency data generated in Voyant.
DOI: 10.5281/zenodo.7897864
title: Technoableism & Social Media: TikTok Dataset (v1)

description: This dataset draws upon metadata scraped from TikTok using Deen Freelon's python module, "Pyktok." It contains metadata from TikTok videos obtained with Pyktok, using keywords and video IDs; notes relating to video content; brief summary statistics; and word frequency data generated in Voyant.
DOI: 10.6084/m9.figshare.22766894
title: Annotated Seurat object containing cells for a single-cell transcriptomic atlas of adult female and male African turquoise killifish.

description: The African turquoise killifish (<em>Nothobranchius furzeri</em>), the shortest-lived vertebrate that can be bred in captivity, is an emerging model organism to study vertebrate aging. Here we describe the first multi-tissue, single-cell gene expression atlas of female and male turquoise killifish tissues comprising immune and metabolic cells from the blood, kidney, liver, and spleen. We were able to annotate 22 distinct cell types.
DOI: 10.6084/m9.figshare.22186879.v7
title: People Living with HIV Who Has Becomes an Influencer on Social

description: Contents of the interview transcripts PLHIV on social media
DOI: 10.25345/c5th8bx88
title: MassIVE MSV000091862 - Loss of hRpn13 reconfigures the proteome and transcriptome of multiple myeloma cells
title: hRpn13 is an established proteasome substrate receptor but is also present off proteasomes and the possibility of it assuming cellular functions beyond its activities at the proteasomes has been long hypothesized. Herein, we demonstrate that hRpn13 deletion by gene-editing leads to alterations in the transcriptome that correlate with proteome alterations and moreover, that these effects are cell type-specific. We find that the hRpn13 Pru region directly interacts with two regulators of protein expression; namely the histone deacetylase HDAC8, which we also find is inhibited by hRpn13 in cells and a catalytic assay, and the bone marrow-specific protein arginine deamidase PADI4. In multiple myeloma cells, PADI4 and proteins of the cytoskeleton, immune response, calcium signaling, metabolitic and epigenetic pathways are sensitive to hRpn13 deletion by gene-editing. These proteins are also depleted by proteasome inhibition with carfilzomib or the hRpn13 PROTAC XL5-VHL-2. Altogether, we provide evidence for a multi-layered regulatory network involving arginine deamidation, histone deacetylation, proteasome activity and hRpn13Pru that confers a unique cell survival mechanism for multiple myeloma cells.
DOI: 10.5281/zenodo.7891994
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 500m SIN Grid in 2007

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 500 m 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 500 m 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 2007. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2006</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2008</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2007 Spatial Resolution: 500 m 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.7891993
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 500m SIN Grid in 2007

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 500 m 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 500 m 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 2007. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2006</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2008</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2007 Spatial Resolution: 500 m 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/mf92-ed85
title: P57H22

description: The test data of P57H22
DOI: 10.6084/m9.figshare.22758695
title: Rapid oscillation of sediment transport between the Bohai Sea and the Yellow Sea induced by Typhoon Lekima (2019)

description: This dataset contains the data used to map the figures in the article " Rapid oscillation of sediment transport between the Bohai Sea and the Yellow Sea induced by Typhoon Lekima (2019) ".
DOI: 10.6084/m9.figshare.22758695.v4
title: Rapid oscillation of sediment transport between the Bohai Sea and the Yellow Sea induced by Typhoon Lekima (2019)

description: This dataset contains the data used to map the figures in the article " Rapid oscillation of sediment transport between the Bohai Sea and the Yellow Sea induced by Typhoon Lekima (2019) ".
DOI: 10.21227/pntm-te37
title: P118H39

description: The test data of P118H39
DOI: 10.5281/zenodo.7063238
title: This is the 'title': Test Zenodo upload

description: This is the 'description'
description: This is the 'notes'
DOI: 10.5281/zenodo.7063241
title: This is the 'title': Test Zenodo upload

description: This is the 'description'
description: This is the 'notes'
DOI: 10.5281/zenodo.7094007
title: This is the 'title': Test Zenodo upload

description: This is the 'description'
description: This is the 'notes'
DOI: 10.5281/zenodo.7392354
title: This is the 'title': Test Zenodo upload

description: This is the 'description'
description: This is the 'notes'
DOI: 10.5281/zenodo.7392440
title: This is the 'title': Test Zenodo upload

description: This is the 'description'
description: This is the 'notes'
DOI: 10.5281/zenodo.6081432
title: This is the 'title': Test Zenodo upload

description: This is the 'description'. Here is a new line, with a Unicode escape sequence for a greek letter beta: β (raw unescaped character: β)Since newline escape sequences don't work, this is a paragraph enclosed in HTML tags.<br>An html line break also appears, within the paragraph, just before this sentence.
description: This is the 'notes'
DOI: 10.5281/zenodo.7517220
title: This is the 'title': Test Zenodo upload

description: This is the 'description'. Here is a new line, with a Unicode escape sequence for a greek letter beta: β (raw unescaped character: β)
description: This is the 'notes'
DOI: 10.5281/zenodo.7517246
title: This is the 'title': Test Zenodo upload

description: This is the 'description'. Here is a new line, with a Unicode escape sequence for a greek letter beta: β (raw unescaped character: β)Since newline escape sequences don't work, this is a paragraph enclosed in HTML tags.<br>An html line break also appears, within the paragraph, just before this sentence.
description: This is the 'notes'
DOI: 10.25901/ceqd-vc15
title: Karawatha Site, Mammal Captures Data, Karawatha Forest Park, South East Queensland, 2010
DOI: 10.5281/zenodo.7897928
title: Technoableism & Social Media: TikTok Dataset (v1)

description: This dataset draws upon metadata scraped from TikTok using Deen Freelon's python module, "Pyktok." It contains metadata from TikTok videos obtained with Pyktok, using keywords and video IDs; notes relating to video content; brief summary statistics; and word frequency data generated in Voyant.
DOI: 10.5281/zenodo.7897927
title: Technoableism & Social Media: TikTok Dataset (v1)

description: This dataset draws upon metadata scraped from TikTok using Deen Freelon's python module, "Pyktok." It contains metadata from TikTok videos obtained with Pyktok, using keywords and video IDs; notes relating to video content; brief summary statistics; and word frequency data generated in Voyant.
DOI: 10.6084/m9.figshare.22059575
title: Supplementary Data Table for Influence of Internal Muscle Properties on Muscle Shape Change and Gearing

description: Summary of statistical results including the full models from the linear mixed effects models as well as the Tukey Post hocs for the main outcomes of the paper " Influence of internal muscle properties on muscle shape change and gearing in the human gastrocnemii". Additional summary fo statistics is included for a torque matched subset of data and a figure showing rate of torque development at 10, 30, 50 and 100% MVC.
DOI: 10.5281/zenodo.7897938
title: Technoableism & Social Media: Twitter Dataset (v1)

description: The attached dataset contains data from the Twitter API, scraped during the fall of 2022, using the Postman application. Search terms included "disability, technology," "COVID, disability," "biohack," "cgm, blood sugar," among other terms related to disability, illness, and health.
DOI: 10.5281/zenodo.7897937
title: Technoableism & Social Media: Twitter Dataset (v1)

description: The attached dataset contains data from the Twitter API, scraped during the fall of 2022, using the Postman application. Search terms included "disability, technology," "COVID, disability," "biohack," "cgm, blood sugar," among other terms related to disability, illness, and health.
DOI: 10.5519/qd.1okppd7u
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.15485/1398272
title: KCMP Minnesota Tall Tower Nitrous Oxide Inverse Modeling Dataset 2010-2015

description: This data set contains nitrous oxide mixing ratios and supporting information measured at a tall tower (KCMP, 244 meter) site near St. Paul, Minnesota, USA. The data include nitrous oxide and carbon dioxide mixing ratios measured at the 100 meter level. Turbulence and wind data were measured using a sonic anemometer at the 185 meter level. Also included in this data set are estimates of the “background” nitrous oxide mixing ratios. This data was collected to improve understanding of the reactive nitrogen budget for the region.
DOI: 10.15485/1512511
title: Camp Fire processed Landsat 8 images, pre-fire, during-fire, post-fire

description: The Camp Fire rapidly spread across a landscape in Butte County, California, toward the city of Paradise in the early morning hours of 8 November 2018. GEE acquires L8 data products from USGS that include Real-Time Tier 1 DN values, representing scaled, calibrated at-sensor radiance, and Level-1 Precision Terrain (L1TP) processing. We carried out additional processing on the pre- and post-fire images, including an illumination correction to account for effects of steep topography, and radiometric normalization to ensure homogeneity between images. We also identified and processed high-quality images for both the pre-fire condition(25 Oct 2013), and the post-fire burn scar (26 Dec 2018). Using the tools we provided in the paper, we estimate that, over the first hour, the Camp Fire was consuming ~200 ha/minute of vegetation with a linear spread rate of 14 km over the fire’s first 25 minutes, or ~33km/hr. We briefly discuss broader use of remote sensing and geospatial analysis for fire research and risk management. A visualization app (sliderApp) that includes pre-fire, active fire, and post-fire images: https://caralyngorman.users.earthengine.app/view/camp-fire-sliding-map-3-9-19
DOI: 10.15485/1550921
title: KCMP Minnesota Tall Tower Ammonia Observations and Emission Estimates Dataset 2017-2018

description: This data set contains NH3 mixing ratios, net ecosystem NH3 exchange, and supporting information measured at a tall tower (KCMP, 244 meter) site near St. Paul, Minnesota, USA. The data include NH3 and H2O mixing ratios measured at the 100 meter level, as well as NH3 mixing ratio measured at the 56 meter level. Wind data was measured using a sonic anemometer at the 185 meter level. Also included in this data set are values of wet N and NH3 deposition from 2016 - 2018. This data was collected to improve understanding of the ammonia and reactive nitrogen budget for the region.Ammonia mixing ratios were filtered for periods when the NH3 analyzer measured anomalous (i.e. 10 mmol mol-1) water vapor mixing ratios based on comparison with the IRGA (LI7000). Further, we filtered out NH3 observations obtained during strongly condensing conditions. These periods were identified when the water vapor mixing ratio differences between the 100 m and 56 m levels were more negative than -0.5 mmol mol-1 (i.e. when the water vapor gradient was strong and directed toward the land surface). Finally, we filtered out NH3 fluxes when the atmosphere was strongly stable (i.e. when (z-d)/L exceeded a value of +4.5) and subject to decoupling from the surface fluxes. Approximately 35.1% of the hourly flux data were either missing due to instrument failure or filtered according to the above quality control procedures.
DOI: 10.5439/1561461
title: ARM Aerial Facility (AAF) - Unmanned Aircraft Systems, Cloud Droplet Probe

description: The Cloud Droplet Probe (CDP) is designed to measure cloud droplet size distribution from 2 µm to 50 µm. The CDP and an appropriate data system can also calculate various other parameters including particle concentrations, effective diameter (ED), Median Volume Diameter (MVD), and Liquid Water Content (LWC).