cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/7heqmn
title: The Pandora’s box: Morphological diversity within the genus Amphiglena Claparède, 1864 (Sabellidae, Annelida) in the Mediterranean Sea, with description of nine new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Giangrande, Adriana, Putignano, Matteo, Licciano, Margherita, Gambi, Maria Cristina (2021): The Pandora’s box: Morphological diversity within the genus Amphiglena Claparède, 1864 (Sabellidae, Annelida) in the Mediterranean Sea, with description of nine new species. Zootaxa 4949 (2): 201-239, DOI: https://doi.org/10.11646/zootaxa.4949.2.1
DOI: 10.15468/n56rcu
title: Two new species and a new record of Gaeolaelaps Evans & Till (Acari: Laelapidae) from Altai Mountains, Russia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Joharchi, Omid, Döker, Ismail, Khaustov, Vladimir A. (2021): Two new species and a new record of Gaeolaelaps Evans & Till (Acari: Laelapidae) from Altai Mountains, Russia. Zootaxa 4949 (2): 240-260, DOI: https://doi.org/10.11646/zootaxa.4949.2.2
DOI: 10.5281/zenodo.4521678
title: CBRS band experimental waveform dataset for testing radar detection machine learning models

description: Author Info: Alex Lackpour, alackpour@gmail.com<br> Affiliation: Drexel University<br> Drexel Wireless Systems Lab website: https://research.coe.drexel.edu/ece/dwsl/<br> Date: April 5th, 2021<br> Version: 1.0, public release This radar RF waveform dataset (Group6_data) was collected for a tutorial paper that was originally completed in January 2021. The data contained herein was used to demonstrate that the detection accuracy of a spectrogram-based Convolutional Neural Network (CNN) radar detector model is not negatively impacted by the RF hardware impairments experienced due to sending and receiving the data with USRP N210 software defined radios. The dataset contains 900 examples of CBRS band radar activity and 900 examples of simulated random noise. The IQ data samples were sent/received at 10MSps and are each 80ms in duration. The 900 examples containing radar activity have a random SNR that varies between 10 and 20 dB in 2dB steps. All 9 of the original (simulated) MATLAB workspaces were generated using the NIST Simulated Radar Waveform Generator that is available here for download:<br> https://github.com/usnistgov/SimulatedRadarWaveformGenerator A MATLAB script (included in a separate tar archive file in this dataset) is used to send, or transmit, each of the 9 original simulated waveform batches stored in each MATLAB workspace using a USRP radio at 1.5 MHz over a 2 meter long RF coaxial cable and a 30 dB RF attenuator. A separate receiving MATLAB script (included) is used to receive the entire sent dataset and store it in an "experimental" dataset on the receiving computer. With these two versions of the radar waveform samples, it is possible to compare the accuracy of a radar detector for both the source and experimental datasets and determine whether the RF hardware impairments imparted by the USRP radio hardware degrades the detector's binary classification accuracy. The following code repository repo contains a set of baseline deep learning radar waveform detection models that were evaluated and documented in our tutorial paper:<br> https://github.com/usnistgov/BaselineDeepLearningRadarDetectors
DOI: 10.5281/zenodo.4521677
title: CBRS band experimental waveform dataset for testing radar detection machine learning models

description: Author Info: Alex Lackpour, alackpour@gmail.com<br> Affiliation: Drexel University<br> Drexel Wireless Systems Lab website: https://research.coe.drexel.edu/ece/dwsl/<br> Date: April 5th, 2021<br> Version: 1.0, public release This radar RF waveform dataset (Group6_data) was collected for a tutorial paper that was originally completed in January 2021. The data contained herein was used to demonstrate that the detection accuracy of a spectrogram-based Convolutional Neural Network (CNN) radar detector model is not negatively impacted by the RF hardware impairments experienced due to sending and receiving the data with USRP N210 software defined radios. The dataset contains 900 examples of CBRS band radar activity and 900 examples of simulated random noise. The IQ data samples were sent/received at 10MSps and are each 80ms in duration. The 900 examples containing radar activity have a random SNR that varies between 10 and 20 dB in 2dB steps. All 9 of the original (simulated) MATLAB workspaces were generated using the NIST Simulated Radar Waveform Generator that is available here for download:<br> https://github.com/usnistgov/SimulatedRadarWaveformGenerator A MATLAB script (included in a separate tar archive file in this dataset) is used to send, or transmit, each of the 9 original simulated waveform batches stored in each MATLAB workspace using a USRP radio at 1.5 MHz over a 2 meter long RF coaxial cable and a 30 dB RF attenuator. A separate receiving MATLAB script (included) is used to receive the entire sent dataset and store it in an "experimental" dataset on the receiving computer. With these two versions of the radar waveform samples, it is possible to compare the accuracy of a radar detector for both the source and experimental datasets and determine whether the RF hardware impairments imparted by the USRP radio hardware degrades the detector's binary classification accuracy. The following code repository repo contains a set of baseline deep learning radar waveform detection models that were evaluated and documented in our tutorial paper:<br> https://github.com/usnistgov/BaselineDeepLearningRadarDetectors
DOI: 10.15468/gdcfwj
title: Acroterius gen. nov. (Araneae: Linyphiidae: Linyphiinae) with twelve new species from Yunnan, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Irfan, Muhammad, Bashir, Shahida, Peng, Xianjin (2021): Acroterius gen. nov. (Araneae: Linyphiidae: Linyphiinae) with twelve new species from Yunnan, China. European Journal of Taxonomy 743: 1-53, DOI: https://doi.org/10.5852/ejt.2021.743.1293, URL: http://dx.doi.org/10.5852/ejt.2021.743.1293
DOI: 10.5281/zenodo.4662040
title: Result: Progression of Revenue and IMDb Score of Oscar "Best Picture" Winners From 1986 Until 2016

description: This dataset represents the results of the experiment <em>Progression of Revenue and IMDb Score of Oscar "Best Picture" Winners From 1986 Until 2016</em>. Its latest released version of source code can be found at https://doi.org/10.5281/zenodo.4661145.
description: {"references": ["Fontes, Raphael. (2020, February). The Oscar Award, 1927 - 2020, Version 7. Retrieved March 27, 2021 from https://www.kaggle.com/unanimad/the-oscar-award/version/7.", "Grijalva, Daniel. (2017, October). Movie Industry, Version 2. Retrieved March 27, 2021 from https://www.kaggle.com/danielgrijalvas/movies/version/2."]}
DOI: 10.15468/q2y9u7
title: Molecular phylogenetics, PCA, and MFA recover a new species of Cyrtodactylus (Squamata: Gekkonidae) from an isolated sandstone massif in northwestern Cambodia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Grismer, L. Lee, Geissler, Peter, Neang, Thy, Hartmann, Timo, Wagner, Philipp, Poyarkov, Nikolay A. (2021): Molecular phylogenetics, PCA, and MFA recover a new species of Cyrtodactylus (Squamata: Gekkonidae) from an isolated sandstone massif in northwestern Cambodia. Zootaxa 4949 (2): 261-288, DOI: https://doi.org/10.11646/zootaxa.4949.2.3
DOI: 10.5281/zenodo.4664603
title: Primary data manuscript Chromogranin A regulates gut permeability via the antagonistic actions of its proteolytic peptides

description: Primary data of the publication 'Chromogranin A regulates gut permeability via the antagonistic actions of its proteolytic peptides', including: Microbiota analysis WT, CST-KO and CgA-KO mouse, Human colon electron microscopy, CASP3 stain WT and CST-KO mouse colon, F4/80 stain WT and CST-KO mouse colon. Full paper is published in Acta Physioloigica and can be accessed via: https://doi.org/10.1111/apha.13655 <strong>Abstract paper</strong> <strong>Aim </strong>A ‘leaky’ gut barrier has been implicated in the initiation and progression of a multitude of diseases, e.g., inflammatory bowel disease (IBD), irritable bowel syndrome, and celiac disease. Here we show how pro‐hormone Chromogranin A (CgA), produced by the enteroendocrine cells, and Catestatin (CST: hCgA<sub>352‐372</sub>), the most abundant CgA‐derived proteolytic peptide, affect the gut barrier. <strong>Methods </strong>Colon tissues from region‐specific CST‐knockout (CST‐KO) mice, CgA‐knockout (CgA‐KO) and WT mice were analyzed by immunohistochemistry, Western blot, ultrastructural and flowcytometry studies. FITC‐dextran assays were used to measure intestinal barrier function. Mice were supplemented with CST or CgA fragment pancreastatin (PST: CgA<sub>250‐301</sub>). The microbial composition of cecum was determined. CgA and CST levels were measured in blood of IBD patients. <strong>Results </strong>Plasma levels of CST were elevated in IBD patients. CST‐KO mice displayed (i) elongated tight, adherens junctions and desmosomes similar to IBD patients, (ii) elevated expression of Claudin 2, and (iii) gut inflammation. Plasma FITC‐dextran measurements showed increased intestinal paracellular permeability in the CST‐knockout mice. This correlated with a higher ratio of Firmicutes to Bacteroidetes, a dysbiotic pattern commonly encountered in various diseases. Supplementation of CST‐knockout mice with recombinant CST restored paracellular permeability and reversed inflammation, whereas CgA‐knockout mice supplementation with CST and/or PST in CgA‐KO mice showed that intestinal paracellular permeability is regulated by the antagonistic roles of these two peptides: CST reduces and PST increases permeability. <strong>Conclusion </strong>The pro‐hormone CgA regulates the intestinal paracellular permeability. CST is both necessary and sufficient to reduce permeability and primarily acts by antagonizing PST.
description: G.v.d.B. is funded by a Young Investigator Grant from the Human Frontier Science Program (HFSP; RGY0080/2018) and a Vidi grant from the Netherlands Organisation for Scientific Research (NWO-ALW VIDI 864.14.001). G.v.d.B has also received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 862137).
DOI: 10.5281/zenodo.4664602
title: Primary data manuscript Chromogranin A regulates gut permeability via the antagonistic actions of its proteolytic peptides

description: Primary data of the publication 'Chromogranin A regulates gut permeability via the antagonistic actions of its proteolytic peptides', including: Microbiota analysis WT, CST-KO and CgA-KO mouse, Human colon electron microscopy, CASP3 stain WT and CST-KO mouse colon, F4/80 stain WT and CST-KO mouse colon. Full paper is published in Acta Physioloigica and can be accessed via: https://doi.org/10.1111/apha.13655 <strong>Abstract paper</strong> <strong>Aim </strong>A ‘leaky’ gut barrier has been implicated in the initiation and progression of a multitude of diseases, e.g., inflammatory bowel disease (IBD), irritable bowel syndrome, and celiac disease. Here we show how pro‐hormone Chromogranin A (CgA), produced by the enteroendocrine cells, and Catestatin (CST: hCgA<sub>352‐372</sub>), the most abundant CgA‐derived proteolytic peptide, affect the gut barrier. <strong>Methods </strong>Colon tissues from region‐specific CST‐knockout (CST‐KO) mice, CgA‐knockout (CgA‐KO) and WT mice were analyzed by immunohistochemistry, Western blot, ultrastructural and flowcytometry studies. FITC‐dextran assays were used to measure intestinal barrier function. Mice were supplemented with CST or CgA fragment pancreastatin (PST: CgA<sub>250‐301</sub>). The microbial composition of cecum was determined. CgA and CST levels were measured in blood of IBD patients. <strong>Results </strong>Plasma levels of CST were elevated in IBD patients. CST‐KO mice displayed (i) elongated tight, adherens junctions and desmosomes similar to IBD patients, (ii) elevated expression of Claudin 2, and (iii) gut inflammation. Plasma FITC‐dextran measurements showed increased intestinal paracellular permeability in the CST‐knockout mice. This correlated with a higher ratio of Firmicutes to Bacteroidetes, a dysbiotic pattern commonly encountered in various diseases. Supplementation of CST‐knockout mice with recombinant CST restored paracellular permeability and reversed inflammation, whereas CgA‐knockout mice supplementation with CST and/or PST in CgA‐KO mice showed that intestinal paracellular permeability is regulated by the antagonistic roles of these two peptides: CST reduces and PST increases permeability. <strong>Conclusion </strong>The pro‐hormone CgA regulates the intestinal paracellular permeability. CST is both necessary and sufficient to reduce permeability and primarily acts by antagonizing PST.
description: G.v.d.B. is funded by a Young Investigator Grant from the Human Frontier Science Program (HFSP; RGY0080/2018) and a Vidi grant from the Netherlands Organisation for Scientific Research (NWO-ALW VIDI 864.14.001). G.v.d.B has also received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 862137).
DOI: 10.5281/zenodo.4664404
title: Seroprevalence of IgG antibodies against SARS coronavirus 2 in Belgium – a serial prospective cross-sectional nationwide study of residual samples

description: This dataset contains information on seven prospective cross-sectional nationwide residual sera collection rounds. The samples were analyzed for IgG antibodies against S1 proteins of SARS-CoV-2 with a semi-quantitative commercial ELISA (EuroImmun, Luebeck, Germany). We provide a CSV file containing the following variables: <strong>code</strong>: unique sample code <strong>age_cat</strong>: age categories by 10-year age bands (0-10, 10-20, ..., 80-90, 90-Inf), the lower limit is included, e.g. 0-10 = [0,10) <strong>sex</strong>: sex (f = female, m = male) <strong>province</strong>: province of residence (11 categories) <strong>region</strong>: region of residence (3 categories: Brussels, Flanders, Walloon) <strong>collection_round</strong>: collection round (values 1 to 7) <strong>collection_start</strong>: start date of the collection round <strong>collection_end</strong>: end date of the collection round <strong>igg_orig</strong>: measured IgG OD value as character (note, a semi-quantitative ELISA was used, i.e. this should not be interpreted continiously) <strong>igg_cat</strong>: categorized IgG OD values <em>LoD</em>: IgG OD &lt; 0.15 <em>negative</em>: 0.15 ≤ IgG OD &lt; 0.8 <em>borderline</em>: 0.8 ≤ IgG OD &lt; 1.1 <em>positive</em>: 1.1 ≤ IgG OD Please see publication mentioned underneath for more details (https://doi.org/10.1101/2020.06.08.20125179). <strong>Funding:</strong> This work received funding from the European Union's Horizon 2020 research and innovation program - project EpiPose (No 101003688), the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement 682540 TransMID), the Flemish Research Fund (FWO 1150017N) and from The Antwerp University Fund; which is a community of donors who contribute to research and education with their personal commitment through a donation, gift, bequest or through academic chairs. The funders had no role in study design, data collection, data analysis, data interpretation, writing or submitting of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.
description: Please cite: Seroprevalence of IgG antibodies against SARS coronavirus 2 in Belgium – a serial prospective cross-sectional nationwide study of residual samples Herzog Sereina, De Bie Jessie, Abrams Steven, Wouters Ine, Ekinci Esra, Patteet Lisbeth, Coppens Astrid, De Spiegeleer Sandy, Beutels Philippe, Van Damme Pierre, Hens Niel, Theeten Heidi. medRxiv 2020.06.08.20125179; doi: https://doi.org/10.1101/2020.06.08.20125179
DOI: 10.6084/m9.figshare.13963106
title: Metabolomics studies

description: cef files generated from 42 cancer patients
DOI: 10.5281/zenodo.4665312
title: Dataset related to article "Early Parkinsonism in a Senegalese girl with Lafora disease"

description: The dataset contains clinical information on the Lafora case reported in the related article
description: Study supported by the Italian Ministry of Health Ricerca Finalizzata Giovani Ricercatori 2010 (Project GR-2010-2304834) and Ricerca Finalizzata Giovani Ricercatori 2016 (Project GR-2016-02363337 ) and grants from the Pierfranco and Luisa Mariani Foundation
DOI: 10.5281/zenodo.4665311
title: Dataset related to article "Early Parkinsonism in a Senegalese girl with Lafora disease"

description: The dataset contains clinical information on the Lafora case reported in the related article
description: Study supported by the Italian Ministry of Health Ricerca Finalizzata Giovani Ricercatori 2010 (Project GR-2010-2304834) and Ricerca Finalizzata Giovani Ricercatori 2016 (Project GR-2016-02363337 ) and grants from the Pierfranco and Luisa Mariani Foundation
DOI: 10.5281/zenodo.4665373
title: Seroprevalence of IgG antibodies against SARS coronavirus 2 in Belgium – a serial prospective cross-sectional nationwide study of residual samples

description: This dataset contains information on seven prospective cross-sectional nationwide residual sera collection rounds. The samples were analyzed for IgG antibodies against S1 proteins of SARS-CoV-2 with a semi-quantitative commercial ELISA (EuroImmun, Luebeck, Germany). We provide a CSV file containing the following variables: <strong>code</strong>: unique sample code <strong>age_cat</strong>: age categories by 10-year age bands (0-10, 10-20, ..., 80-90, 90-Inf), the lower limit is included, e.g. 0-10 = [0,10) <strong>sex</strong>: sex (f = female, m = male) <strong>province</strong>: province of residence (11 categories) <strong>region</strong>: region of residence (3 categories: Brussels, Flanders, Walloon) <strong>collection_round</strong>: collection round (values 1 to 7) <strong>collection_start</strong>: start date of the collection round <strong>collection_end</strong>: end date of the collection round <strong>igg_orig</strong>: measured IgG OD value as character (note, a semi-quantitative ELISA was used, i.e. this should not be interpreted continiously) <strong>igg_cat</strong>: categorized IgG OD values <em>LoD</em>: IgG OD &lt; 0.15 <em>negative</em>: 0.15 ≤ IgG OD &lt; 0.8 <em>borderline</em>: 0.8 ≤ IgG OD &lt; 1.1 <em>positive</em>: 1.1 ≤ IgG OD Please see publication mentioned underneath for more details (https://doi.org/10.1101/2020.06.08.20125179). <strong>Funding:</strong> This work received funding from the European Union's Horizon 2020 research and innovation program - project EpiPose (No 101003688), the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement 682540 TransMID), the Flemish Research Fund (FWO 1150017N) and from The Antwerp University Fund; which is a community of donors who contribute to research and education with their personal commitment through a donation, gift, bequest or through academic chairs. The funders had no role in study design, data collection, data analysis, data interpretation, writing or submitting of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.
description: Please cite: Seroprevalence of IgG antibodies against SARS coronavirus 2 in Belgium – a serial prospective cross-sectional nationwide study of residual samples Herzog Sereina, De Bie Jessie, Abrams Steven, Wouters Ine, Ekinci Esra, Patteet Lisbeth, Coppens Astrid, De Spiegeleer Sandy, Beutels Philippe, Van Damme Pierre, Hens Niel, Theeten Heidi. medRxiv 2020.06.08.20125179; doi: https://doi.org/10.1101/2020.06.08.20125179
DOI: 10.25390/caryinstitute.11801052.v24
title: Cary Institute Environmental Monitoring Program Current Year Data 2021

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.5517/ccdc.csd.cc26nn3n
title: CCDC 2045631: Experimental Crystal Structure Determination

description: Related Article: Radmila Faizova, Farzaneh Fadaei-Tirani, Anne-Sophie Chauvin, Marinella Mazzanti|2021|Angew.Chem.,Int.Ed.|60|8227|doi:10.1002/anie.202016123
DOI: 10.5517/ccdc.csd.cc26nn4p
title: CCDC 2045632: Experimental Crystal Structure Determination

description: Related Article: Radmila Faizova, Farzaneh Fadaei-Tirani, Anne-Sophie Chauvin, Marinella Mazzanti|2021|Angew.Chem.,Int.Ed.|60|8227|doi:10.1002/anie.202016123
DOI: 10.5517/ccdc.csd.cc26nn5q
title: CCDC 2045633: Experimental Crystal Structure Determination

description: Related Article: Radmila Faizova, Farzaneh Fadaei-Tirani, Anne-Sophie Chauvin, Marinella Mazzanti|2021|Angew.Chem.,Int.Ed.|60|8227|doi:10.1002/anie.202016123
DOI: 10.5517/ccdc.csd.cc26nn6r
title: CCDC 2045634: Experimental Crystal Structure Determination

description: Related Article: Radmila Faizova, Farzaneh Fadaei-Tirani, Anne-Sophie Chauvin, Marinella Mazzanti|2021|Angew.Chem.,Int.Ed.|60|8227|doi:10.1002/anie.202016123
DOI: 10.5517/ccdc.csd.cc26nn8t
title: CCDC 2045636: Experimental Crystal Structure Determination

description: Related Article: Radmila Faizova, Farzaneh Fadaei-Tirani, Anne-Sophie Chauvin, Marinella Mazzanti|2021|Angew.Chem.,Int.Ed.|60|8227|doi:10.1002/anie.202016123
DOI: 10.5517/ccdc.csd.cc26nn9v
title: CCDC 2045637: Experimental Crystal Structure Determination

description: Related Article: Radmila Faizova, Farzaneh Fadaei-Tirani, Anne-Sophie Chauvin, Marinella Mazzanti|2021|Angew.Chem.,Int.Ed.|60|8227|doi:10.1002/anie.202016123
DOI: 10.5517/ccdc.csd.cc26pk2k
title: CCDC 2046498: Experimental Crystal Structure Determination

description: Related Article: Amina Benchohra, Yanling Li, Lise-Marie Chamoreau, Benoit Baptiste, Erik Elkaïm, Nathalie Guillou, David Kreher, Rodrigue Lescouëzec|2021|Angew.Chem.,Int.Ed.|60|8803|doi:10.1002/anie.202015994