cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/139115
title: Water Temperature data collected during research cruise AR47 using a Sea-Bird SBE-48 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139104
title: TSG (Thermosalinograph) data collected during research cruise AR47 using a Sea-Bird SBE-45 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.13708558
title: Microsatellite data and Ecological Niche Modeling Meta-data from Mohn et al. 2021. The phylogeographic history of a range disjunction in Eastern North America: the role of post-glacial expansion into newly suitable habitat, American Journal of Botany.

description: Data files from: Mohn, R. A., N. H. Oleas, A. B. Smith, J. F. Swift, G. A. Yatskievych, and C. E. Edwards. 2021. The phylogeographic history of a range disjunction in Eastern North America: the role of post-glacial expansion into newly suitable habitat, American Journal of Botany.<br>The excel file contains microsatellite data for <i>Delphinium exaltatum</i> in GenAlEx format.<br>The CSV file contains meta-data for the historical ecological niche modeling parameters in the ODMAP meta-data format.
DOI: 10.15468/6nntcy
title: Revision of the Nearctic species of Gimnomera Rondani (Diptera: Scathophagidae) with morphological phylogeny and DNA barcodes

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chagnon, Marie-Eve, Sinclair, Bradley J. (2020): Revision of the Nearctic species of Gimnomera Rondani (Diptera: Scathophagidae) with morphological phylogeny and DNA barcodes. Zootaxa 4853 (3): 369-403, DOI: https://doi.org/10.11646/zootaxa.4853.3.3
DOI: 10.5517/ccdc.csd.cc25fhqv
title: CCDC 2008977: Experimental Crystal Structure Determination

description: Related Article: Wen-Jing Xu, Kun-Peng Chen, Yue Zhang, Yue Ma, Quan-Wen Li, Qing-Lun Wang|2021|J.Mol.Struct.|1231|129948|doi:10.1016/j.molstruc.2021.129948
DOI: 10.5517/ccdc.csd.cc26t3lr
title: CCDC 2049924: Experimental Crystal Structure Determination

description: Related Article: Jingjing Guo, Qiang Chen, Wenjuan Zhang, Tongling Liang, Wen-Hua Sun|2021|J.Organomet.Chem.|936|121713|doi:10.1016/j.jorganchem.2021.121713
DOI: 10.6084/m9.figshare.13724347
title: Data base_Osteopontin_Huejutla.xlsx

description: Osteopontin (OPN) is a protein involved in inflammatory illnesses, such as fibrosis and cancer, and its overexpression in cardiovascular diseases promotes the biomineralization of blood vessels and other soft tissues. Moreover, there is an active component of oxidative stress related to those diseases. Data base of nutritional and serum biochemical measurement of adolescents from Huejutla, Hidalgo State, Mexico., is present as data base reservoir of a pilot study title “Osteopontin’s relationship with malnutrition and oxidative stress in adolescents. A pilot study”
DOI: 10.6084/m9.figshare.13724347.v1
title: Data base_Osteopontin_Huejutla.xlsx

description: Osteopontin (OPN) is a protein involved in inflammatory illnesses, such as fibrosis and cancer, and its overexpression in cardiovascular diseases promotes the biomineralization of blood vessels and other soft tissues. Moreover, there is an active component of oxidative stress related to those diseases. Data base of nutritional and serum biochemical measurement of adolescents from Huejutla, Hidalgo State, Mexico., is present as data base reservoir of a pilot study title “Osteopontin’s relationship with malnutrition and oxidative stress in adolescents. A pilot study”
DOI: 10.5517/ccdc.csd.cc254dc3
title: CCDC 2000224: Experimental Crystal Structure Determination

description: Related Article: Talal F. Al-Azemi, Mickey Vinodh|2021|RSC Advances|11|2995|doi:10.1039/D1RA00078K
DOI: 10.5517/ccdc.csd.cc254dd4
title: CCDC 2000225: Experimental Crystal Structure Determination

description: Related Article: Talal F. Al-Azemi, Mickey Vinodh|2021|RSC Advances|11|2995|doi:10.1039/D1RA00078K
DOI: 10.5517/ccdc.csd.cc254df5
title: CCDC 2000226: Experimental Crystal Structure Determination

description: Related Article: Talal F. Al-Azemi, Mickey Vinodh|2021|RSC Advances|11|2995|doi:10.1039/D1RA00078K
DOI: 10.5517/ccdc.csd.cc268d0x
title: CCDC 2033848: Experimental Crystal Structure Determination

description: Related Article: Julie A. Hopkins Leseberg, Davide Lionetti, Victor W. Day, James D. Blakemore|2021|Organometallics|40|266|doi:10.1021/acs.organomet.0c00747
DOI: 10.5517/ccdc.csd.cc26y0w2
title: CCDC 2053684: Experimental Crystal Structure Determination

description: Related Article: S. Lifa, C. Trifa, S. Bouacida, C. Boudaren, M. Hocine|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|90|doi:10.1107/S2053229621000085
DOI: 10.5517/ccdc.csd.cc26y0x3
title: CCDC 2053685: Experimental Crystal Structure Determination

description: Related Article: S. Lifa, C. Trifa, S. Bouacida, C. Boudaren, M. Hocine|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|90|doi:10.1107/S2053229621000085
DOI: 10.5517/ccdc.csd.cc26yhc1
title: CCDC 2054133: Experimental Crystal Structure Determination

description: Related Article: T. Yamanaka, Y. Komatsu, H. Nomori|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26z64k
title: CCDC 2054808: Experimental Crystal Structure Determination

description: Related Article: J.M. Skell, M. Kahn, B.M. Foxman|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|84|doi:10.1107/S2053229621000280
DOI: 10.5517/ccdc.csd.cc26zqlj
title: CCDC 2055318: Experimental Crystal Structure Determination

description: Related Article: E.A. Al-Taifi, I.S. Maraei, E.A. Bakhite, G. Demirtas, J.T. Mague, S.K. Mohamed, Y. Ramli|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|121|doi:10.1107/S2056989021000372
DOI: 10.5517/ccdc.csd.cc2700jt
title: CCDC 2055595: Experimental Crystal Structure Determination

description: Related Article: H.M. Heras Martinez, D. Chavez Flores, P.C. Hillesheim, S. Patil, A. Bugarin|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|130|doi:10.1107/S2056989021000426
DOI: 10.5517/ccdc.csd.cc2703hw
title: CCDC 2055687: Experimental Crystal Structure Determination

description: Related Article: X. Liu, T. Li, Z. Yin|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|126|doi:10.1107/S2056989021000463
DOI: 10.5517/ccdc.csd.cc270hg7
title: CCDC 2056058: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hh8
title: CCDC 2056059: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hj9
title: CCDC 2056060: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hkb
title: CCDC 2056061: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hlc
title: CCDC 2056062: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hmd
title: CCDC 2056063: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hnf
title: CCDC 2056064: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hpg
title: CCDC 2056065: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hqh
title: CCDC 2056066: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hrj
title: CCDC 2056067: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hsk
title: CCDC 2056068: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270htl
title: CCDC 2056069: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hvm
title: CCDC 2056070: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hwn
title: CCDC 2056071: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hxp
title: CCDC 2056072: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc270hyq
title: CCDC 2056073: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Ann Christin Fecker, Marc D. Walter|2021|CSD Communication|||
DOI: 10.5281/zenodo.4484289
title: X-ray computed tomography and scanning electron microscopy datasets of unidirectional and textured glass fibre composites.

description: 3D x-ray tomography and 2D scanning electron microscopy (SEM) data behind the publications: Salling FB, Jeppesen N, Sonne MR, Hattel JH and Mikkelsen LP. Individual fibre inclination segmentation from X-ray computed tomography using principal component analysis. <em>Composites Part A</em>, Submitted to where the reference should be given if used. Details on the data-set is given in the Data-in-Brief publications: Salling FB, Hattel JH, Mikkelsen LP. X-ray computed tomography and scanning electron microscopy datasets of unidirectional and textured glass fibre composites. <em>Data in Brief</em>, Submitted The data-files is given for the two material case called Mock and UD. For each material case, the data is given as: .txm-files: 3D reconstructed x-ray scan files FoV 2mm binning 2 (analyzed in the paper) FoV 4mm binning 1 (additional data-set) 2Dtif.zip-files: 2D tif-stack version of the 3D reconstructed data-set .tif-files: stitched SEM scanning file used for fiber volume fraction determination .hdr-files: meta-data ASCII file behind the SEM scan tif.zip-files: The individual images behind the stitched SEM scanning file fig-files: digital form of the fibre trajectories colored according to their individual mean inclination used in figure xx in reference yy m-files: Matlab-script for calculating the fibre volume fraction (Vf) from the SEM image mat-files: Mat-file with the segmented part in the SEM image used for the Vf calculation
DOI: 10.6084/m9.figshare.13724617
title: Ribosomal protein database of Klebsiella pneumoniae

description: This work presents the ribosomal protein database of <i>Klebsiella pneumoniae. </i>Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.3886/e131102
title: Core Academic Language Skills Instrument (CALS-I) & Evaluación de Lenguaje Académico (ELA)

description: Core Academic Language Skills Instrument (CALS-I) & Evaluación de Lenguaje Académico (ELA)<br><br>The Core Academic Language Skills Instrument (CALS-I) (English) and Evaluación de Lenguaje Académico (ELA) (Spanish) are psychometrically-robust measures designed to capture academic language skills in 4-8th grade students. <br>
DOI: 10.3886/e131102v2
title: Core Academic Language Skills Instrument (CALS-I) & Evaluación de Lenguaje Académico (ELA)

description: Core Academic Language Skills Instrument (CALS-I) & Evaluación de Lenguaje Académico (ELA)<br><br>The Core Academic Language Skills Instrument (CALS-I) (English) and Evaluación de Lenguaje Académico (ELA) (Spanish) are psychometrically-robust measures designed to capture academic language skills in 4-8th grade students. <br>
DOI: 10.3886/e119446v55
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.3886/e101268v3-78680
title: Political Inequality Index

description: The Political Inequality Index (PII) is the most comprehensive cross-national measure of political inequality thus far, using objective indicators. This index is mainly based on the two distinct dimensions of participation and representation in the Democratic Performance Index (DPI), which is a new version of the Democracy Barometer (DB). The DPI dataset is available at http://doi.org/10.3886/E101244V2.<br> <br>The two dimensions are aggregated by geometric averaging because each dimension is related to political inequality but clearly distinct from each other, providing neither full compensability nor full non-compensability. Consequently, using a geometric mean is an in-between solution. Then the aggregate scores are normalized with the 0-100 scale and reversed to show the level of inequality. One thing to note is that the minimum value of 0 does not mean perfect equality; likewise, the maximum value of 100 does not mean perfect inequality. They just indicate the best or worst level of performance among the observations.<br><br>The PII has two distinctive advantages, compared to other measures of political inequality: first, it overcomes a narrow version of political inequality measure, such as voting, by incorporating representation as well as electoral and non-electoral participation; second, it provides the best available cross-national and over-time data source for political inequality, covering 67 countries including 36 OECD countries over the period between 1990 and 2016, as of 2018.<br><br>The PII allows us to answer the question of to what extent citizens are treated as political equals that have equal voice to influence politics. Securing an equal opportunity or an equal starting point by encouraging political participation and making a more representative political system is crucial for a more democratic and egalitarian society.<br><br>A new version of the PII ("PII_1990-2016_ver2.dta") has been published in December 2019. You can also find how the index has been constructed in this file: "PII_1990-2016_ver2.do".<br><br>
description: 67 countries: 36 OECD countries and 31 non-OECD countries. Smallest Geographic Unit: country
DOI: 10.6073/pasta/e963f515578c8f33e3cc3d3bd548f234
title: Periphyton Accumulation Rates from Shark River Slough, Taylor Slough and Florida Bay, Everglades National Park (FCE LTER) from January 2001 to Present

description: Periphyton accumulation rates were measured bimonthly at FCE LTER sites in Florida Bay and Shark Slough. Glass slides were used as artificial substrates for periphyton growth. Twenty slides were incubated for 2 months in triplicate periphytometers (flow-through plastic boxes) at the surface (SRS sites) and bottom (FB) at each site. Twelve artificial blades (made from transparency film) were incubated for 2 months in triplicate in specially constructed wire frames at the bottom at sites TS/PH 9, TS/PH 10 and TS/PH 11. Data are presented in terms of grams dry and ash-free dry mass per area per time. This is part of continuous data collection to test the hypothesis that phosphorus and nitrogen limit productivity at the upstream and downstream ends, respectively, of the FCE transects. Conclusions await longer-term data collection.
DOI: 10.15468/kfwx8c
title: A biodiversity hotspot for Microgastrinae (Hymenoptera, Braconidae) in North America: annotated species checklist for Ottawa, Canada

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fernandez-Triana, Jose, Boudreault, Caroline, Buffam, Joel, Mclean, Ronald (2016): A biodiversity hotspot for Microgastrinae (Hymenoptera, Braconidae) in North America: annotated species checklist for Ottawa, Canada. ZooKeys 633: 1-93, DOI: http://dx.doi.org/10.3897/zookeys.63.10480, URL: http://dx.doi.org/10.3897/zookeys.63.10480
DOI: 10.5281/zenodo.4511337
title: Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study"

description: Zip file containing the scripts, functions, and source files for the manuscript titled "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? - A proof of concept study." These files may occasionally be updated to add annotations to the scripts to make them more user friendly and easier to follow.
description: This work was supported in part by the NSF Division of Ocean Sciences (Grant No. 1756568; "Collaborative Research: Southern Ocean Convection in climate models: controls and Impacts")
DOI: 10.5281/zenodo.3932387
title: Dataset and scripts for manuscript "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof of concept study"

description: Zip file containing the scripts, functions, and source files for the manuscript titled "Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? - A proof of concept study." These files may occasionally be updated to add annotations to the scripts to make them more user friendly and easier to follow.
description: This work was supported in part by the NSF Division of Ocean Sciences (Grant No. 1756568; "Collaborative Research: Southern Ocean Convection in climate models: controls and Impacts")
DOI: 10.6084/m9.figshare.13718341.v1
title: Hf-Nd-Sr isotope data in variou locations of cryosphere.doc

description: These are data for Hf-Nd-Sr isotopic composition in various remote cryosphere regions at global scale.
DOI: 10.6084/m9.figshare.13724812.v2
title: Data of Uranium isotopic constraints on the provenance of dust on the Tibetan Plateau.docx

description: Data of Uranium isotopic constraints on the provenance of dust on the Tibetan Plateau
DOI: 10.6084/m9.figshare.13724812.v1
title: Data of Uranium isotopic constraints on the provenance of dust on the Tibetan Plateau.docx

description: Data of Uranium isotopic constraints on the provenance of dust on the Tibetan Plateau
DOI: 10.6084/m9.figshare.13724812
title: Data of Uranium isotopic constraints on the provenance of dust on the Tibetan Plateau.docx

description: Data of Uranium isotopic constraints on the provenance of dust on the Tibetan Plateau
DOI: 10.6084/m9.figshare.13718341.v3
title: Hf-Nd-Sr isotope data in variou locations of cryosphere.doc

description: These are data for Hf-Nd-Sr isotopic composition in various remote cryosphere regions at global scale.
DOI: 10.6084/m9.figshare.13718341
title: Hf-Nd-Sr isotope data in variou locations of cryosphere.doc

description: These are data for Hf-Nd-Sr isotopic composition in various remote cryosphere regions at global scale.
DOI: 10.6084/m9.figshare.13718341.v2
title: Hf-Nd-Sr isotope data in variou locations of cryosphere.doc

description: These are data for Hf-Nd-Sr isotopic composition in various remote cryosphere regions at global scale.
DOI: 10.6084/m9.figshare.13370504.v9
title: Speedtest Open Data - Australia 2020 Q2, Q3, Q4 extract

description: This is an Australian extract of Speedtest Open data available at Amazon WS (link below - opendata.aws).<br>AWS data licence is "CC BY-NC-SA 4.0", so use of this data must be:- non-commercial (NC)- reuse must be share-alike (SA)(add same licence).This restricts the standard CC-BY Figshare licence.<br>A world speedtest open data was dowloaded (&gt;400Mb, 7M lines of data). An extract of Australia's location (lat, long) revealed 88,000 lines of data (attached as csv).<br>A Jupyter notebook of extract process is attached.A link to Twitter thread of outputs provided.A link to Data tutorial provided (GitHub), including Jupyter Notebook to analyse World Speedtest data, selecting one US State.<br>Data Shows: (Q2)- 3.1M speedtests- 762,000 devices- 88,000 grid locations (600m * 600m), summarised as a point- average speed 33.7Mbps (down), 12.4M (up)- Max speed 724Mbps- data is for 600m * 600m grids, showing average speed up/down, number of tests, and number of users (IP). Added centroid, and now lat/long.<br>See tweet of image of centroids also attached.<br>Versions:v9 - Add comparative Q2, Q3, Q4 Hist pic.v8 - Added Q4 data geojson. Add Q3, Q4 Hist pic.v7 - Rename to include Q2, Q3 in Title.v6 - Add Q3 20 data. Rename geojson AUS data as Q2. Add comparative Histogram. Calc in International.ipynb.v5 - add Jupyter Notebook inc Histograms. Hist is count of geo-locations avg download speed (unweighted by tests).v4 - added Melb choropleth (png 50Mpix) inc legend. (To do - add Melb.geojson)v3 - Add super fast data (&gt;100Mbps) less than 1% of data - 697 lines. Includes png of superfast.plot(). Link below to Google Maps version of superfast data points. Also Google map of first 100 data points - sample data. Geojson format for loading into GeoPandas, per Jupyter Notebook. New version of Jupyter Notebook, v.1.1.v2 - add centroids image.v1 - initial data load.
DOI: 10.6084/m9.figshare.13724815.v1
title: S1 Table. Flow of PBS used, and its shear stress equivalences

description: Flow of PBS and its shear stress equivalences