cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bf3xbd2mgw.1
title: Paclitaxel, but Not Cisplatin, Affects Satellite Glial Cells in Dorsal Root Ganglia of Rats with Chemotherapy-Induced Peripheral Neurotoxicity

description: Chemotherapy-induced peripheral neurotoxicity is one of the most common dose-limiting toxicities of several widely used anticancer drugs such as platinum derivatives (cisplatin) and taxanes (paclitaxel). Several molecular mechanisms related to the onset of neurotoxicity have already been proposed, most of them having the sensory neurons of the dorsal root ganglia (DRG) and the peripheral nerve fibers as principal targets. In this study we explore chemotherapy-induced peripheral neurotoxicity beyond the neuronocentric view, investigating the changes induced by paclitaxel (PTX) and cisplatin (CDDP) on satellite glial cells (SGC) in the DRG and their crosstalk. Rats were chronically treated with PTX (10 mg/Kg, 1qwx4) or CDDP (2 mg/Kg 2qwx4) or respective vehicles. Morpho-functional analyses were performed to verify the features of drug-induced peripheral neurotoxicity. Qualitative and quantitative immunohistochemistry, 3D immunofluorescence, immunoblotting, and transmission electron microscopy analyses were also performed to detect alterations in SGCs and their interconnections. We demonstrated that PTX, but not CDDP, produces a strong activation of SGCs in the DRG, by altering their interconnections and their physical contact with sensory neurons. SGCs may act as principal actors in PTX-induced peripheral neurotoxicity, paving the way for the identification of new druggable targets for the treatment and prevention of chemotherapy-induced peripheral neurotoxicity.
DOI: 10.6084/m9.figshare.22564255
title: Dataset for our research for Bahir Dar station

description: Here we are sharing our data set
DOI: 10.6084/m9.figshare.22564255.v1
title: Dataset for our research for Bahir Dar station

description: Here we are sharing our data set
DOI: 10.5281/zenodo.7798609
title: Vertical Leaching of Paleo-Saltwater in a Coastal Aquifer–Aquitard System of the Pearl River Delta

description: Supplementary material includes the measured data of radium and radon.
DOI: 10.5281/zenodo.7798473
title: MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 500m SIN Grid in 2015

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 FAPAR product at 500m spatial resolution and 8-day temporal resolution. The MUSES FAPAR product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. This dataset is the MUSES FAPAR product in 2015. <em>Please <strong>click here</strong> to download the MUSES FAPAR product <strong>in 2014</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES FAPAR product <strong>in 2016</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2015 Spatial Resolution: 500m Temporal Resolution: 8 days 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 al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015. Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018. Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7798472
title: MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 500m SIN Grid in 2015

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 FAPAR product at 500m spatial resolution and 8-day temporal resolution. The MUSES FAPAR product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. This dataset is the MUSES FAPAR product in 2015. <em>Please <strong>click here</strong> to download the MUSES FAPAR product <strong>in 2014</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES FAPAR product <strong>in 2016</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2015 Spatial Resolution: 500m Temporal Resolution: 8 days 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 al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015. Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018. Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.25403/upresearchdata.22495408
title: Fruit flies sampled from the South African highveld and lowveld for the assessment of fruit fly assemblages and Wolbachia presence

description: The datasets uploaded in this collection include: 1. R script for nmds (nmds_NK_R.R) along with the csv files used (data and design). 2. Two molecular datasets for the extractions. 3. Fruit fly collection data for the highveld and the lowveld. The project aimed to assess the viability of a <em>Wolbachia</em>- driven insect incompatibility technique control method as a means to aid farmers with the challenges posed by fruit flies. This was done through the completion of the following objectives: 1. Establish the species diversity of tephritid flies in two fruit producing regions of South Africa, the highveld and lowveld, based on morphological identification. 2. Assess the intraspecific genetic diversity of tephritid flies from the highveld and lowveld using a mitochondrial cytochrome oxidase 1 gene barcoding approach. 3. Determine the prevalence and diversity of <em>Wolbachia</em> in naturally infected tephritid species from the highveld and lowveld using PCR-sequencing and next generation sequencing. <br>
DOI: 10.25403/upresearchdata.22495408.v1
title: Fruit flies sampled from the South African highveld and lowveld for the assessment of fruit fly assemblages and Wolbachia presence

description: The datasets uploaded in this collection include: 1. R script for nmds (nmds_NK_R.R) along with the csv files used (data and design). 2. Two molecular datasets for the extractions. 3. Fruit fly collection data for the highveld and the lowveld. The project aimed to assess the viability of a <em>Wolbachia</em>- driven insect incompatibility technique control method as a means to aid farmers with the challenges posed by fruit flies. This was done through the completion of the following objectives: 1. Establish the species diversity of tephritid flies in two fruit producing regions of South Africa, the highveld and lowveld, based on morphological identification. 2. Assess the intraspecific genetic diversity of tephritid flies from the highveld and lowveld using a mitochondrial cytochrome oxidase 1 gene barcoding approach. 3. Determine the prevalence and diversity of <em>Wolbachia</em> in naturally infected tephritid species from the highveld and lowveld using PCR-sequencing and next generation sequencing. <br>
DOI: 10.5517/ccdc.csd.cc2f36h8
title: CCDC 2237409: Experimental Crystal Structure Determination

description: Related Article: Along Ma, Jiawei Wang, Jie Kong, Yonggang Ren, Yuxuan Wang, Xiaoshuang Ma, Meng Zhou, Shuxin Wang|2023|Phys.Chem.Chem.Phys.(PCCP)|25|9772|doi:10.1039/D3CP00459G
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.7803315
title: SASS-E: The Steelpan Audio Sample Set for Evaluation

description: SASS-E is an audio dataset containing 13,313 one-hit audio samples from three distinct steelpans. <strong>Citation</strong> This dataset is part of paper that will be published in the NIME 2023 proceedings in June, 2023. This section will be updated to reflect that citation then. <strong>Data curator</strong> Colin Malloy <strong>Contact</strong> You can contact Colin regarding this dataset at malloyc@uvic.ca. <strong>About SASS-E</strong> The SASS-E dataset is an audio dataset curated as part of Colin's PhD research. It consists of over 13,000 one-hit audio samples from three tenor steelpans totaling over 9 hours and 25 minutes of audio The samples were recorded in a professional quality recording studio at 48 kHz/ 24-bit depth. Approximately 50 strikes were recorded per note per instrument at a wide variety of dynamic levels and beating areas. This allows for comprehensive coverage of minute details and fluctuations in timbre. The audio samples are pre-split into training, validation, and test sets with 7,931 samples in the training set, 2,680 samples in the validation set, and 2,702 samples in the test set. The audio files are have filenames in the following format: &lt;MIDI note number&gt;_&lt;set&gt;_&lt;instrument label&gt;_sample_&lt;number&gt;.wav. They are each labeled with the MIDI note number for the given note struck. The instrument label is in the format "ctenor-0x" where x is the number assigned to the instrument. <strong>Future of SASS-E</strong> In the future, we plan to add samples from a wider variety of steelpans. The goal is to create a comprehensive dataset that covers all major varieties of steelpans from the soprano to bass voices of the family. This will include other kinds of tenor steelpans (such as low D tenors, Invader tenors, and 3rds/4ths tenors). <strong>License</strong> All of the samples in SASS-E are released under Creative Commons (CC) CC-BY-NC. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. Specifically, these samples are not to be used in a commercial sample library (such as a virtual instrument).
DOI: 10.5281/zenodo.7803316
title: SASS-E: The Steelpan Audio Sample Set for Evaluation

description: SASS-E is an audio dataset containing 13,313 one-hit audio samples from three distinct steelpans. <strong>Citation</strong> This dataset is part of paper that will be published in the NIME 2023 proceedings in June, 2023. This section will be updated to reflect that citation then. <strong>Data curator</strong> Colin Malloy <strong>Contact</strong> You can contact Colin regarding this dataset at malloyc@uvic.ca. <strong>About SASS-E</strong> The SASS-E dataset is an audio dataset curated as part of Colin's PhD research. It consists of over 13,000 one-hit audio samples from three tenor steelpans totaling over 9 hours and 25 minutes of audio The samples were recorded in a professional quality recording studio at 48 kHz/ 24-bit depth. Approximately 50 strikes were recorded per note per instrument at a wide variety of dynamic levels and beating areas. This allows for comprehensive coverage of minute details and fluctuations in timbre. The audio samples are pre-split into training, validation, and test sets with 7,931 samples in the training set, 2,680 samples in the validation set, and 2,702 samples in the test set. The audio files are have filenames in the following format: &lt;MIDI note number&gt;_&lt;set&gt;_&lt;instrument label&gt;_sample_&lt;number&gt;.wav. They are each labeled with the MIDI note number for the given note struck. The instrument label is in the format "ctenor-0x" where x is the number assigned to the instrument. <strong>Future of SASS-E</strong> In the future, we plan to add samples from a wider variety of steelpans. The goal is to create a comprehensive dataset that covers all major varieties of steelpans from the soprano to bass voices of the family. This will include other kinds of tenor steelpans (such as low D tenors, Invader tenors, and 3rds/4ths tenors). <strong>License</strong> All of the samples in SASS-E are released under Creative Commons (CC) CC-BY-NC. This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. Specifically, these samples are not to be used in a commercial sample library (such as a virtual instrument).
DOI: 10.5281/zenodo.2593153
title: Microsoft Academic Graph

description: This is the Microsoft Academic Graph data from 2021-09-13. To get this, you'd normally jump through these hoops: https://docs.microsoft.com/en-us/academic-services/graph/get-started-setup-provisioning As required by ODC-BY, I acknowledge Microsoft Academic using the URI https://aka.ms/msracad. You can find out more about the data schema of the Microsoft Academic Graph at: https://web.archive.org/web/20220218202531/https://docs.microsoft.com/en-us/academic-services/graph/reference-data-schema<br> Since Microsoft docs are covered by different licensing terms, the documentation cannot be provided along with the data. There were no changes to the files except compressing them with zstd (-T8 -19). This results in a smaller packed size, but still more data than the previous version. The compressed files will expand to the following sizes (output of zstd -l): <pre><code>Compressed Uncompressed Ratio Filename 1.39 MiB 5.30 MiB 3.822 Affiliations.txt.zst 4.45 MiB 15.7 MiB 3.518 AuthorExtendedAttributes.txt.zst 4.29 GiB 17.4 GiB 4.052 Authors.txt.zst 575 KiB 2.55 MiB 4.530 ConferenceInstances.txt.zst 126 KiB 453 KiB 3.598 ConferenceSeries.txt.zst 1.56 MiB 5.96 MiB 3.820 Journals.txt.zst 12.5 GiB 51.7 GiB 4.137 PaperAuthorAffiliations.txt.zst 687 MiB 2.76 GiB 4.116 PaperExtendedAttributes.txt.zst 7.32 GiB 40.5 GiB 5.530 PaperReferences.txt.zst 1.23 MiB 9.72 MiB 7.894 PaperResources.txt.zst 18.5 GiB 72.0 GiB 3.898 Papers.txt.zst 5.59 GiB 34.7 GiB 6.203 PaperUrls.txt.zst -------------------------------------------------- 48.9 GiB 219 GiB 4.484 XXH64 12 files </code></pre> This data is not the whole set what you get to download, there is much more (roughly 160GiB compressed), but the upload quota only permits this much. The additional data is retained and you may ask for it. The additional data is huge, so be prepared to provide sftp, rsync or similar access to drop the files in. If you want to <strong>donate an update</strong> but lack the bandwidth to download and repack the set, feel free to contact me (details via my ORCiD page), once you have gone through the provisioning steps. I'll either grab the set directly from the azure storage (you might have to give me access rights) or provide an sftp/rsync drop for you to dump the data in. The data for version 2021-09-13 was kindly contributed by Rudolf Siegel
DOI: 10.5281/zenodo.7694206
title: Strong lensing mass models for the paper "Model-Independent Mass Reconstruction of the Hubble Frontier Field Clusters with MARS \\ Based on Self-Consistent Strong Lensing Data"

description: <strong>Codes for evaluating multiple image scatters</strong> The code "eval_source_scatter.py" generates the source plane scatters for multiple images. In the folder "Image_plane_scatters", there are codes for computing image plane scatters.<br> "lens_rms.py": to find the location of the multiple images in the image plane.<br> "plot_result.py": to plot the result rms scatters.<br> We uploaded our results and code for computing scatters in both the source and the image planes. <strong>Results from the MARS algorithm</strong> In each folder, there are 'result_fits.fits', 'resut_kappa_w_header.fits', 'deflection_angle_w_header.fits', and 'catalog.txt' files.<br> All kappa and deflection angle maps are scaled to Dds/Ds= 1. "result_fits.fits" contains all parameters produced by MARS and has a size of (140x140 + alpha), where alpha is the number of model redshifts.<br> "result_kappa_w_header.fits" is the 100x100 convergence map.<br> "deflection_angle_w_header.fits" is the 100x100 deflection angle map in the unit of arc second.<br> "catalog.txt" is the multiple image catalog. The positions are given in pixel unit. For more details, readers are referfed to arXiv:2301.08765. Also, feel free to contact us (sang6199@yonsei.ac.kr) if you have any questions. We found errors in WCS for the fits files and re-uploaded corrected files on 2023-01-27. We thank Jori Liesenborgs for pointing this out.
DOI: 10.5281/zenodo.7443183
title: Mazarinades_Antonomaz

description: Cette archive contient 3064 fichierx XML correspondant à des Mazarinades uniques (décembre 2022). Chaque fichier XML est nommé selon la bibliographie qui a recensé le document, le numéro d'ordre dans cette bibliographie et la source qui a permet d'obtenir le PDF, séparés par des tirets bas (<em>underscore</em>) de la forme : BIBLIOGRAPHE_NUMERO_SOURCE-EN-LIGNE.xml Par exemple - Moreau2080_GBOOKS.pdf est la Mazarinade numéro 2080 de la bibliographie de Célestin Moreau, dont le pdf a été récupéré via Google Books - Moreau3suppl62_MAZ.pdf est la Mazarinade numéro 62 du troisiième supplémente de la bibliographie de Célestin Moreau, dont le pdf a été récupéré via la bibliothèque Mazarine Par commodité les xml sont regroupés par source sauf pour la bibliographie initiale de Célestin Moreau où les mazariandes sont regroupés par tranche de 100 correspondant à la numérotation de Moreau (le dossier 1701-1800 contient donc les Mazarinades que Moreau a numérotées dans la tranche 1701 à 1800) Nous avons comme bibliographies: - Moreau avec sa bibliographie initiale (2839 documents) - Moreau_sup1 (37 documents) - Moreau_sup2 (55 documents) - Moreau_sup3 (19 documents) - Labadie (47 documents) - Socard (25 documents) - Bibliotheque_Mazarine (41 documents) - Antonomaz (1 document) : document que nous avons trouvé et jugé opportun d'accoler aux autres Et comme sources en ligne : - GBOOKS (1949 documents): Google Books - GALL (490 documents) : Gallica - MAZ (622 documents): La Bibliothèque Mazarine - BORD (2 documents) : La bibliothèque de Bordeaux - BnF (1 document) : La bibliothèque nationale de France
DOI: 10.5281/zenodo.7443102
title: Mazarinades_Antonomaz

description: Cette archive contient 3064 fichierx XML correspondant à des Mazarinades uniques (décembre 2022). Chaque fichier XML est nommé selon la bibliographie qui a recensé le document, le numéro d'ordre dans cette bibliographie et la source qui a permet d'obtenir le PDF, séparés par des tirets bas (<em>underscore</em>) de la forme : BIBLIOGRAPHE_NUMERO_SOURCE-EN-LIGNE.xml Par exemple - Moreau2080_GBOOKS.pdf est la Mazarinade numéro 2080 de la bibliographie de Célestin Moreau, dont le pdf a été récupéré via Google Books - Moreau3suppl62_MAZ.pdf est la Mazarinade numéro 62 du troisiième supplémente de la bibliographie de Célestin Moreau, dont le pdf a été récupéré via la bibliothèque Mazarine Par commodité les xml sont regroupés par source sauf pour la bibliographie initiale de Célestin Moreau où les mazariandes sont regroupés par tranche de 100 correspondant à la numérotation de Moreau (le dossier 1701-1800 contient donc les Mazarinades que Moreau a numérotées dans la tranche 1701 à 1800) Nous avons comme bibliographies: - Moreau avec sa bibliographie initiale (2839 documents) - Moreau_sup1 (37 documents) - Moreau_sup2 (55 documents) - Moreau_sup3 (19 documents) - Labadie (47 documents) - Socard (25 documents) - Bibliotheque_Mazarine (41 documents) - Antonomaz (1 document) : document que nous avons trouvé et jugé opportun d'accoler aux autres Et comme sources en ligne : - GBOOKS (1949 documents): Google Books - GALL (490 documents) : Gallica - MAZ (622 documents): La Bibliothèque Mazarine - BORD (2 documents) : La bibliothèque de Bordeaux - BnF (1 document) : La bibliothèque nationale de France
DOI: 10.5281/zenodo.7804539
title: Research Data for "Vertical Leaching of Paleo-Saltwater in a Coastal Aquifer–Aquitard System of the Pearl River Delta"

description: Supplementary material includes one supplemental text on analytical derivation, two supplemental figures, and the measured data of radium and radon.
DOI: 10.5281/zenodo.7798608
title: Research Data for "Vertical Leaching of Paleo-Saltwater in a Coastal Aquifer–Aquitard System of the Pearl River Delta"

description: Supplementary material includes one supplemental text on analytical derivation, two supplemental figures, and the measured data of radium and radon.