cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/zd9rky
title: Systematics of the mudskipper genus Oxuderces Eydoux & Souleyet 1848 (Teleostei: Gobiidae: Oxudercinae) with resurrection from synonymy of O. nexipinnis (Cantor 1849)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jaafar, Zeehan, Parenti, Lynne R. (2017): Systematics of the mudskipper genus Oxuderces Eydoux & Souleyet 1848 (Teleostei: Gobiidae: Oxudercinae) with resurrection from synonymy of O. nexipinnis (Cantor 1849). Zoological Journal of the Linnean Society 180 (5): 195-215, DOI: 10.1111/zoj.12482, URL: http://dx.doi.org/10.1111/zoj.12482
DOI: 10.5281/zenodo.5708679
title: Scintillation event list database produced for "Multiyear Detection, Classification and Hypothesis of Ionospheric Layer Causing GNSS Scintillation"

description: Database produced for and associated with journal article https://doi.org/10.1029/2021RS007328 This database contains scintillation events identified by the "Detect, Classify, Hypothesize" method as described in the journal article. Created by Datta-Barua, Seebany. Open Access License Creative Commons Attribution 4.0 International Sheets labeled "S*_yyyy_freq" contain a list of scintillation events based on data from the SAGA array. For S* the abbreviations are: "SP": sigma phi index, i.e., phase scintillation events "S4": S4 index, i.e., amplitude scintillation events "SPS4": sigma phi and S4, i.e., both-phase-and-amplitude events yyyy indicates the four-digit year, from 2014 through 2019 freq: "L1CA": refers to GPS L1 frequency 1575 MHz "L2CL": refers to GPS L2C frequency 1227 MHz In each sheet "S*_yyyy_freq" the columns are: Column A: Year (2014-2019) Column B: day of year (1-366) Column C: frequency (1 for L1, 2 for L2C) Column D: GPS satellite PRN (1-32) Column E: Scintillation start UT hour (0-23) Column F: Scintillation start UT minute (0-59) Column G: Scintillation end UT hour (0-23) Column H: Scintillation end UT minute (0-59) Column I: number of receivers operational (4-6) Column J: PFISR-based hypothesized layer (1-7, as described below) 1: E layer (majority peak height &lt; 150 km) 2: F layer (majority peak height &gt; 195 km) 3: T layer (150 &lt; majority peak height &lt; 195 km) 4: I layer (no majority layer) 5: "N"- no Poker Flat Incoherent Scatter Radar (PFISR) long pulse data and no alternating code data 6: "NLP" - no PFISR long pulse 7: "NAC" - no PFISR alternating code A blank sheet indicates that there were no events of that type and at that frequency found in that year.
DOI: 10.5281/zenodo.5708678
title: Scintillation event list database produced for "Multiyear Detection, Classification and Hypothesis of Ionospheric Layer Causing GNSS Scintillation"

description: Database produced for and associated with journal article https://doi.org/10.1029/2021RS007328 This database contains scintillation events identified by the "Detect, Classify, Hypothesize" method as described in the journal article. Created by Datta-Barua, Seebany. Open Access License Creative Commons Attribution 4.0 International Sheets labeled "S*_yyyy_freq" contain a list of scintillation events based on data from the SAGA array. For S* the abbreviations are: "SP": sigma phi index, i.e., phase scintillation events "S4": S4 index, i.e., amplitude scintillation events "SPS4": sigma phi and S4, i.e., both-phase-and-amplitude events yyyy indicates the four-digit year, from 2014 through 2019 freq: "L1CA": refers to GPS L1 frequency 1575 MHz "L2CL": refers to GPS L2C frequency 1227 MHz In each sheet "S*_yyyy_freq" the columns are: Column A: Year (2014-2019) Column B: day of year (1-366) Column C: frequency (1 for L1, 2 for L2C) Column D: GPS satellite PRN (1-32) Column E: Scintillation start UT hour (0-23) Column F: Scintillation start UT minute (0-59) Column G: Scintillation end UT hour (0-23) Column H: Scintillation end UT minute (0-59) Column I: number of receivers operational (4-6) Column J: PFISR-based hypothesized layer (1-7, as described below) 1: E layer (majority peak height &lt; 150 km) 2: F layer (majority peak height &gt; 195 km) 3: T layer (150 &lt; majority peak height &lt; 195 km) 4: I layer (no majority layer) 5: "N"- no Poker Flat Incoherent Scatter Radar (PFISR) long pulse data and no alternating code data 6: "NLP" - no PFISR long pulse 7: "NAC" - no PFISR alternating code A blank sheet indicates that there were no events of that type and at that frequency found in that year.
DOI: 10.15468/qbmx8y
title: Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach

description: This dataset contains the digitized treatments in Plazi based on the original journal article Scorrano, Simonetta, Aglieri, Giorgio, Boero, Ferdinando, Dawson, Michael N., Piraino, Stefano (2017): Unmasking Aurelia species in the Mediterranean Sea: an integrative morphometric and molecular approach. Zoological Journal of the Linnean Society 180 (5): 243-267, DOI: 10.1111/zoj.12494, URL: http://dx.doi.org/10.1111/zoj.12494
DOI: 10.6084/m9.figshare.16992013.v1
title: Supplemental Data_Exercise Reduces the Protein Abundance of TXNIP and Its Interacting Partner REDD1 in Skeletal Muscle: Potential Role for a PKA-Mediated Mechanism

description: Supplemental Data for the Manuscript entitled, "Exercise Reduces the Protein Abundance of TXNIP and Its Interacting Partner REDD1 in Skeletal Muscle: Potential Role for a PKA-Mediated Mechanism".
DOI: 10.6084/m9.figshare.17041550
title: Developmental Study_raw data

description: Data includes final weight and mortality count for shrimp exposed to microbeads at different concentrations and size fractions.
DOI: 10.6084/m9.figshare.17041550.v1
title: Developmental Study_raw data

description: Data includes final weight and mortality count for shrimp exposed to microbeads at different concentrations and size fractions.
DOI: 10.18746/bmth.data.00000200
title: Transcripts of interviews connected to i-doc Phocaea1914.org and thesis entitled "THE 1914 FORCED DISPLACEMENT OF THE OTTOMAN GREEK POPULATION OF PHOCAEA – AN ONLINE INTERACTIVE DOCUMENTARY"
DOI: 10.15468/rydpc5
title: Rediscovery and description of Paramormyrops sphekodes (Sauvage, 1879) and a new cryptic Paramormyrops (Mormyridae: Osteoglossiformes) from the Ogooué River of Gabon using morphometrics, DNA sequencing and electrophysiology

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rich, Madeline, Sullivan, John P., Hopkins, Carl D. (2017): Rediscovery and description of Paramormyrops sphekodes (Sauvage, 1879) and a new cryptic Paramormyrops (Mormyridae: Osteoglossiformes) from the Ogooué River of Gabon using morphometrics, DNA sequencing and electrophysiology. Zoological Journal of the Linnean Society 180: 613-646, DOI: 10.1093/zoolinnean/zlw004
DOI: 10.25345/c5486s
title: MassIVE MSV000088407 - Quantitative PTM Maps of Human Pathologic Tau Identify Patient Heterogeneity and Define Critical Steps in Alzheimer’s Disease Progression - frontal gyrus
title: To elucidate the role of Tau isoforms and PTM stoichiometry in Alzheimer’s disease (AD), we generated a high resolution quantitative proteomic map of 88 PTMs on multiple isoforms of Tau isolated from the post-mortem human tissue from 49 AD and 42 control subjects. While Tau PTM maps reveal heterogeneity across subjects, a subset of PTMs display high occupancy and patient frequency for AD suggesting importance in disease. Unsupervised analyses indicate that PTMs occur in an ordered manner leading to Tau aggregation. The processive addition and minimal set of PTMs associated with seeding activity was further defined by the analysis of size fractionated Tau. To summarize, critical features within the Tau protein for disease intervention at different stages of disease are identified, including enrichment of 0N and 4R isoforms, underrepresentation of the C-terminal, an increase in negative charge in the PRR and a decrease in positive charge in the MBD.
DOI: 10.25810/gqc9-0b04
title: FIRED AUSTRALIA: Queensland

description: This is event- and daily-level polygons for the Fire event delineation (FIRED) product for FIRED AUSTRALIA: Queensland from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.3886/e154961
title: The Equitable Distribution of Opportunity to Learn in Mathematics Textbooks

description: Data to replicate results in AERA Open Article "The Equitable Distribution of Opportunity to Learn in Mathematics Textbooks"<br><br>Low-income students and students of color are faced with pervasively lower levels of opportunity-to-learn (OTL) compared to their peers, creating unequal opportunities for educational success. Textbooks, which serve as the backbone of the curriculum in most mathematics classrooms, present a potentially powerful tool to help mitigate unequal OTL across students. Using the Surveys of Enacted Curriculum framework, we investigate the content of commonly used eighth grade math textbooks in California and the extent to which they align with the Common Core State Standards (CCSS). We also explore the relationship between the variation in content coverage and alignment and student characteristics. We find poor alignment between the textbooks in our sample and the CCSS and low overall levels of cognitive demand, but only limited evidence of systematic differences in alignment or cognitive demand coverage associated with student characteristics at the school or district level.<br>
DOI: 10.25810/18cj-m525
title: FIRED KENYA

description: This is event- and daily-level polygons for the Fire event delineation (FIRED) product for KENYA from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.25646/9286
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25810/5dhw-ay76
title: FIRED UGANDA

description: This is event- and daily-level polygons for the Fire event delineation (FIRED) product for UGANDA from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.5281/zenodo.5711021
title: C19 Rapid Reviewers Collaboration - Publisher DataSet for COVID-19 Papers Submitted Jan 2020-March 2021

description: A dataset from some of the publishers involved in the C19Rapid Reviewer Collaboration. The data shows volumes of submissions and time to publication for COVID-19 papers from specific journals taking part in the initiative from January 2020 until March 2021. The data was supplied by eLife, The Royal Society, Hindawi, GigaScience and CUP.
DOI: 10.5281/zenodo.5711020
title: C19 Rapid Reviewers Collaboration - Publisher DataSet for COVID-19 Papers Submitted Jan 2020-March 2021

description: A dataset from some of the publishers involved in the C19Rapid Reviewer Collaboration. The data shows volumes of submissions and time to publication for COVID-19 papers from specific journals taking part in the initiative from January 2020 until March 2021. The data was supplied by eLife, The Royal Society, Hindawi, GigaScience and CUP.
DOI: 10.5281/zenodo.5710857
title: IUCLID templates for PPP Risk Assessment - Template 7.2 - Template for presenting the results of the OECD 106 evaluators checklist

description: This word file contains the template for <strong>presenting the results of the OECD 106 evaluators checklist</strong>. The template has been draft based on the Technical report on the outcome of the pesticides peer review meeting on the OECD 106 evaluators checklist (EFSA, 2017).<br> The filled-in template shall be pasted in the "<strong>Any other information on results incl. tables</strong> " field of IUCLID document “<strong>Adsorption and desorption in soil</strong>”<strong> </strong>endpoint study record (Section 7.1.3.1 of active substance dataset).
description: EU; DOCX; pesticides.peerreview@efsa.europa.eu
description: {"references": ["EFSA, 2017. EFSA (European Food Safety Authority), 2017. Technical report on the outcome of the pesticides peer review meeting on the OECD 106 evaluators checklist. EFSA supporting publication 2017: 14( 11):EN-1326. 17 pp. doi: 10.2903/sp.efsa.2017.en-1326"]}
DOI: 10.5281/zenodo.5710856
title: IUCLID templates for PPP Risk Assessment - Template 7.2 - Template for presenting the results of the OECD 106 evaluators checklist

description: This word file contains the template for <strong>presenting the results of the OECD 106 evaluators checklist</strong>. The template has been draft based on the Technical report on the outcome of the pesticides peer review meeting on the OECD 106 evaluators checklist (EFSA, 2017).<br> The filled-in template shall be pasted in the "<strong>Any other information on results incl. tables</strong> " field of IUCLID document “<strong>Adsorption and desorption in soil</strong>”<strong> </strong>endpoint study record (Section 7.1.3.1 of active substance dataset).
description: EU; DOCX; pesticides.peerreview@efsa.europa.eu
description: {"references": ["EFSA, 2017. EFSA (European Food Safety Authority), 2017. Technical report on the outcome of the pesticides peer review meeting on the OECD 106 evaluators checklist. EFSA supporting publication 2017: 14( 11):EN-1326. 17 pp. doi: 10.2903/sp.efsa.2017.en-1326"]}
DOI: 10.5517/ccdc.csd.cc2206jv
title: CCDC 1906826: Experimental Crystal Structure Determination

description: Related Article: Jayabalan Pandidurai, Jayachandran Jayakumar, Natarajan Senthilkumar, Chien-Hong Cheng|2019|J.Mater.Chem.C|7|13104|doi:10.1039/C9TC04536H
description: Related Article: Jayabalan Pandidurai, Jayachandran Jayakumar, Yi-Kuan Chen, Chia-Min Hsieh, Chien-Hong Cheng|2021|J.Mater.Chem.C|9|15900|doi:10.1039/D1TC03998A
DOI: 10.5517/ccdc.csd.cc2206gs
title: CCDC 1906824: Experimental Crystal Structure Determination

description: Related Article: Jayabalan Pandidurai, Jayachandran Jayakumar, Natarajan Senthilkumar, Chien-Hong Cheng|2019|J.Mater.Chem.C|7|13104|doi:10.1039/C9TC04536H
description: Related Article: Jayabalan Pandidurai, Jayachandran Jayakumar, Yi-Kuan Chen, Chia-Min Hsieh, Chien-Hong Cheng|2021|J.Mater.Chem.C|9|15900|doi:10.1039/D1TC03998A
DOI: 10.5517/ccdc.csd.cc2206ht
title: CCDC 1906825: Experimental Crystal Structure Determination

description: Related Article: Jayabalan Pandidurai, Jayachandran Jayakumar, Natarajan Senthilkumar, Chien-Hong Cheng|2019|J.Mater.Chem.C|7|13104|doi:10.1039/C9TC04536H
description: Related Article: Jayabalan Pandidurai, Jayachandran Jayakumar, Yi-Kuan Chen, Chia-Min Hsieh, Chien-Hong Cheng|2021|J.Mater.Chem.C|9|15900|doi:10.1039/D1TC03998A
DOI: 10.5517/ccdc.csd.cc24fzbx
title: CCDC 1979639: Experimental Crystal Structure Determination

description: Related Article: Henning Steinert, Christopher Schwarz, Alexander Kroll, Viktoria H. Gessner|2020|Molecules|25|796|doi:10.3390/molecules25040796
DOI: 10.5517/ccdc.csd.cc24fzcy
title: CCDC 1979640: Experimental Crystal Structure Determination

description: Related Article: Henning Steinert, Christopher Schwarz, Alexander Kroll, Viktoria H. Gessner|2020|Molecules|25|796|doi:10.3390/molecules25040796
DOI: 10.5517/ccdc.csd.cc24fzdz
title: CCDC 1979641: Experimental Crystal Structure Determination

description: Related Article: Henning Steinert, Christopher Schwarz, Alexander Kroll, Viktoria H. Gessner|2020|Molecules|25|796|doi:10.3390/molecules25040796
DOI: 10.5517/ccdc.csd.cc24fzf0
title: CCDC 1979642: Experimental Crystal Structure Determination

description: Related Article: Henning Steinert, Christopher Schwarz, Alexander Kroll, Viktoria H. Gessner|2020|Molecules|25|796|doi:10.3390/molecules25040796
DOI: 10.5517/ccdc.csd.cc24h60w
title: CCDC 1980807: Experimental Crystal Structure Determination

description: Related Article: Iwona Nierengarten, Jean-Francois Nierengarten|2020|ChemistryOpen|9|393|doi:10.1002/open.202000035
DOI: 10.5517/ccdc.csd.cc24h61x
title: CCDC 1980808: Experimental Crystal Structure Determination

description: Related Article: Iwona Nierengarten, Jean-Francois Nierengarten|2020|ChemistryOpen|9|393|doi:10.1002/open.202000035
DOI: 10.5517/ccdc.csd.cc24h6b6
title: CCDC 1980817: Experimental Crystal Structure Determination

description: Related Article: Iwona Nierengarten, Jean-Francois Nierengarten|2020|ChemistryOpen|9|393|doi:10.1002/open.202000035
DOI: 10.5517/ccdc.csd.cc24h6f9
title: CCDC 1980820: Experimental Crystal Structure Determination

description: Related Article: Alexander M. Polgar, Jade Poisson, Nathan R. Paisley, Cheyenne J. Christopherson, Annelie C. Reyes, Zachary M. Hudson|2020|Macromolecules|53|2039|doi:10.1021/acs.macromol.0c00287
DOI: 10.5517/ccdc.csd.cc24h8db
title: CCDC 1980881: Experimental Crystal Structure Determination

description: Related Article: Iwona Nierengarten, Jean-Francois Nierengarten|2020|ChemistryOpen|9|393|doi:10.1002/open.202000035
DOI: 10.5517/ccdc.csd.cc24h8gd
title: CCDC 1980883: Experimental Crystal Structure Determination

description: Related Article: Iwona Nierengarten, Jean-Francois Nierengarten|2020|ChemistryOpen|9|393|doi:10.1002/open.202000035
DOI: 10.5517/ccdc.csd.cc24h8kh
title: CCDC 1980886: Experimental Crystal Structure Determination

description: Related Article: Iwona Nierengarten, Jean-Francois Nierengarten|2020|ChemistryOpen|9|393|doi:10.1002/open.202000035
DOI: 10.5517/ccdc.csd.cc2582vd
title: CCDC 2003773: Experimental Crystal Structure Determination

description: Related Article: Sai Ho Pun, Qian Miao|2020|Youji Huaxue|40|3347|doi:10.6023/cjoc202005033
DOI: 10.5281/zenodo.1211769
title: A global distribution of dissolved organic carbon in soil and in leaching - (database)

description: Current global carbon (C) models are not representing the fraction of C which is displaced along the terrestrial aquatic continuum thus overestimating the land sink capacity. In order to obtain more reliable C budgets, we need to integrate the lateral transfers of C from terrestrial ecosystems through the inland water network down to the oceans, including biogeochemical transformation during transport and C exchange with the atmosphere.Representing the production and cycling of dissolved organic C (DOC) in the soil column and the leaching of DOC into the inland water network is a first major step in this development. In this study we used newly developed model JULES-DOCM to obtain the first global estimate of global soil DOC stock and DOC concentration, DOC concentration in runoff and DOC leaching flux. In this dataset model produced files are stored as netcdf files including soil DOC stocks (at Top (0-35 cm) and Total soil (0-300cm), soil DOC concentration (at Top (0-35 cm) and Bottom ( 35-300cm)), DOC leaching flux (averaged over 1980-2010) and DOC concentration in runoff (averaged over 1980-2010). The measured DOC collected database is enclosed as the Excel file.