cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4225/01/5858c70f6ab41
title: Productivity floodplain wetland Kakadu

description: Tropical floodplains are one of the most productive ecosystems on Earth. Studies on floodplain productivity have mainly focused on trees and macrophytes because of their high biomass. However, epiphyton –algae and bacteria attached to the submerged portion of aquatic macrophytes- has been recognized as the main source of energy in many tropical floodpla…
DOI: 10.17632/zfzw356mtb.1
title: Data for: Potential influences of forest mesophication on corticolous arthropods as a food base for insectivorous birds and mammals in eastern deciduous forests

description: arthropod data collected from the trunks of 5 species of xeric and mesic trees
DOI: 10.17632/sjc6pdyf9t.1
title: Data for: Potential influences of forest mesophication on corticolous arthropods as a food base for insectivorous birds and mammals in eastern deciduous forests

description: Corticolous arthropods collected from the trunks of sugar maple, pignut hickory, yellow poplar, white oak, and american beech trees in southern Illinois.
DOI: 10.7910/dvn/4a5xmn/joxgnp
title: files_preprocessing_step.tgz

description: :unav
DOI: 10.17632/j9krtstpvk.1
title: Data for: Recurrent euxinia/dysoxia recorded in shallow marine facies at Zhangcunping (western Hubei, China) throughout the Ediacaran to the earliest Cambrian

description: Online raw TOC and Snav data of the 407-core for Tian et al. (2019)
DOI: 10.5281/zenodo.3659971
title: Journal subscription expenditure in the UK 2017-2019

description: This dataset contains payments made by UK higher education institutions for access to academic journals from ten publishers from 2017-2019. The data was obtained by sending Freedom of Information requests to institutions through the website https://whatdotheyknow.com. The total expenditure with these ten publishers from 2017-2019 was over £330 million.
DOI: 10.5281/zenodo.3659970
title: Journal subscription expenditure in the UK 2017-2019

description: This dataset contains payments made by UK higher education institutions for access to academic journals from ten publishers from 2017-2019. The data was obtained by sending Freedom of Information requests to institutions through the website https://whatdotheyknow.com. The total expenditure with these ten publishers from 2017-2019 was over £353 million.
DOI: 10.15468/08n4ht
title: Taxonomy and biostratigraphy of the elasmobranchs and bony fishes (Chondrichthyes and Osteichthyes) of the lower-to-middle Eocene (Ypresian to Bartonian) Claiborne Group in Alabama, USA, including an analysis of otoliths

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ebersole, Jun A., Cicimurri, David J., Stringer, Gary L. (2019): Taxonomy and biostratigraphy of the elasmobranchs and bony fishes (Chondrichthyes and Osteichthyes) of the lower-to-middle Eocene (Ypresian to Bartonian) Claiborne Group in Alabama, USA, including an analysis of otoliths. European Journal of Taxonomy 585: 1-274, DOI: https://doi.org/10.5852/ejt.2019.585
DOI: 10.17632/stck8cf67v.2
title: Data for: Photophysical, kinetic and thermodynamic study of one-component Type II thioxanthone acetic acid photoinitiators

description: Data for the Research Article "Photophysical, Kinetic and Thermodynamic Study of One-Component Type II Thioxanthone Acetic Acid Photoinitiators" in European Polymer Journal, 2020. doi: https://doi.org/10.1016/j.eurpolymj.2020.109909
DOI: 10.5281/zenodo.3967920
title: EPRdata_Gadde_2020_ACSCat

description: This zip folder contains the raw EPR data and EasySpin/MATLAB processing/simulation scripts for the EPR spectra and simulation that appear in: K. Gadde, P. Mampuys, A. Guidetti, H.Y.V. Ching, W.A. Herrebout, S. Van Doorslaer, K. Abbaspour Tehrani, B.U.W. Maes, “Thiosulfonylation of Unactivated Alkenes with Visible-Light Organic Photocatalysis”, <em>ACS Catal.</em>, <strong>2020</strong>, <em>10</em>, 8765-8779 https://doi.org/10.1021/acscatal.0c02159 Brief explanation of the files and samples can be found in “readme.docx” and “summary.xlsx” in each subfolder.”. Other experimental details can be found within the paper.
DOI: 10.5281/zenodo.3967919
title: EPRdata_Gadde_2020_ACSCat

description: This zip folder contains the raw EPR data and EasySpin/MATLAB processing/simulation scripts for the EPR spectra and simulation that appear in: K. Gadde, P. Mampuys, A. Guidetti, H.Y.V. Ching, W.A. Herrebout, S. Van Doorslaer, K. Abbaspour Tehrani, B.U.W. Maes, “Thiosulfonylation of Unactivated Alkenes with Visible-Light Organic Photocatalysis”, <em>ACS Catal.</em>, <strong>2020</strong>, <em>10</em>, 8765-8779 https://doi.org/10.1021/acscatal.0c02159 Brief explanation of the files and samples can be found in “readme.docx” and “summary.xlsx” in each subfolder.”. Other experimental details can be found within the paper.
DOI: 10.5281/zenodo.3660412
title: HighPGibbs, a Practical Tool for Fluid-Rock Thermodynamic Simulation in Deep Earth and Its Application on Calculating Nitrogen Speciation in Subduction Zone Fluids

description: This file contains all the species involved in the simulation (Table S1) and the mixing models of solid solutions (Table S2), along with an introduction on how to run HighPGibbs. The details of the simulation can be found in <em>Zhong R. C., Li Y. X., Etschmann B., Brugger J., Yu C., Cui H., 2019. HighPGibbs, a practical tool for fluid-rock thermodynamic simulation in deep earth and its application on calculating nitrogen speciation in subduction zone fluids. Geochemistry, Geophysics, Geosystems, Submitted manuscript</em>.
DOI: 10.14272/qdmaxrjhdmktqh-uhfffaoysa-n/chmo0000480.1
title: electron ionisation mass spectrometry (EI-MS) (5,11-dibromotricyclo[8.2.2.2^{4,7}]hexadeca-1(12),4,6,10,13,15-hexaene)
title: InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2

description: dataset for electron ionisation mass spectrometry (EI-MS) MS (EI, 70 eV, 30 °C, %), m/z = 364/366/368 (16/31/16) [M]+, 184/182 (98/100) [M–C8H7Br]+, 103 (55) [C8H7]+. HRMS (EI, [M]+, C16H1479Br2) Calcd 363.9462; Found: 363.9462.
DOI: 10.14272/qdmaxrjhdmktqh-uhfffaoysa-n/chmo0000595.1
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (5,11-dibromotricyclo[8.2.2.2^{4,7}]hexadeca-1(12),4,6,10,13,15-hexaene)
title: InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 141.4 (2C, Cq, CAr), 138.8 (2C, Cq, CAr), 135.1 (+, 2C, CH, CAr), 132.8 (+, 2C, CH, CAr), 131.7 (+, 2C, CH, CAr), 126.7 (2C, Cq, CAr), 35.9 (–, 2C, CH2), 32.6 (–, 2C, CH2).The spectrum contains 8% of 4,16-dibromo[2.2]paracyclophane according to 1H NMR.
DOI: 10.14272/qdmaxrjhdmktqh-uhfffaoysa-n.5
title: C16H14Br2
title: InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2

description: This dataset contains experimental data from a sample (5,11-dibromotricyclo[8.2.2.2^{4,7}]hexadeca-1(12),4,6,10,13,15-hexaene, InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2). The datasets from the following experiments are available: infrared absorption spectroscopy (IR) 13C nuclear magnetic resonance spectroscopy (13C NMR) 1H nuclear magnetic resonance spectroscopy (1H NMR) electron ionisation mass spectrometry (EI-MS)
DOI: 10.14272/qdmaxrjhdmktqh-uhfffaoysa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (5,11-dibromotricyclo[8.2.2.2^{4,7}]hexadeca-1(12),4,6,10,13,15-hexaene)
title: InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 7.20 (d, J = 1.6 Hz, 2H, HAr), 6.57 – 6.50 (m, 4H, HAr), 3.45 (ddd, J = 13.3, 9.5, 2.2 Hz, 2H, HPc), 3.15 – 2.97 (m, 4H, HPc), 2.81 (ddd, J = 13.3, 10.1, 6.9 Hz, 2H, HPc).The spectrum contains 8% of 4,16-dibromo[2.2]paracyclophane.
DOI: 10.14272/qdmaxrjhdmktqh-uhfffaoysa-n/chmo0000630.1
title: infrared absorption spectroscopy (IR) (5,11-dibromotricyclo[8.2.2.2^{4,7}]hexadeca-1(12),4,6,10,13,15-hexaene)
title: InChI=1S/C16H14Br2/c17-15-9-11-1-5-13(15)8-4-12-2-6-14(7-3-11)16(18)10-12/h1-2,5-6,9-10H,3-4,7-8H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, cm–1) ṽ = 2958 (w), 2924 (s), 2887 (w), 2850 (m), 1584 (m), 1537 (m), 1475 (s), 1449 (s), 1432 (m), 1391 (vs), 1353 (w), 1317 (w), 1289 (w), 1272 (w), 1238 (w), 1201 (m), 1186 (m), 1156 (w), 1133 (m), 1106 (m), 1030 (vs), 987 (w), 956 (m), 946 (m), 902 (vs), 888 (s), 858 (vs), 826 (vs), 815 (vs), 785 (s), 704 (vs), 670 (vs), 663 (vs), 645 (vs), 596 (w), 585 (w), 565 (w), 521 (s), 476 (vs), 418 (s), 395 (w), 390 (w), 380 (w).
DOI: 10.14272/myaiouzmqhxenr-uhfffaoysa-n.2
title: C24H22O2
title: InChI=1S/C24H22O2/c1-26-24(25)22-14-12-21(13-15-22)23-16-19-7-6-17-2-4-18(5-3-17)8-10-20(23)11-9-19/h2-5,9,11-16H,6-8,10H2,1H3

description: This dataset contains experimental data from a sample (methyl 4-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)benzoate, InChI=1S/C24H22O2/c1-26-24(25)22-14-12-21(13-15-22)23-16-19-7-6-17-2-4-18(5-3-17)8-10-20(23)11-9-19/h2-5,9,11-16H,6-8,10H2,1H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/myaiouzmqhxenr-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (methyl 4-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)benzoate)
title: InChI=1S/C24H22O2/c1-26-24(25)22-14-12-21(13-15-22)23-16-19-7-6-17-2-4-18(5-3-17)8-10-20(23)11-9-19/h2-5,9,11-16H,6-8,10H2,1H3

description: dataset for mass spectrometry (MS) HRMS (C24H22O2) Calcd 342.1620, Found 342.1620
DOI: 10.17632/z3my4zzx34.1
title: Data for: Change of the abundances of Fe, Ni and Zr isotopes due to neutron radiative capture reactions in heavy water reactors

description: This is the data for in the paper
DOI: 10.14272/myaiouzmqhxenr-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (methyl 4-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)benzoate)
title: InChI=1S/C24H22O2/c1-26-24(25)22-14-12-21(13-15-22)23-16-19-7-6-17-2-4-18(5-3-17)8-10-20(23)11-9-19/h2-5,9,11-16H,6-8,10H2,1H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, Chloroform-d, *ppm) δ = 8.18 (d, J = 8.3 Hz, 2H), 7.58 (d, J = 8.4 Hz, 2H), 6.72–6.48 (m, 7H), 3.99 (s, 3H), 3.42 (ddd, J = 12.5 Hz, J = 10.0 Hz, J = 3.0 Hz, 1H), 3.25–2.84 (m, 6H), 2.64 (ddd, J = 13.0 Hz, J = 10.0 Hz, J = 4.5 Hz, 1H).
DOI: 10.14272/myaiouzmqhxenr-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (methyl 4-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)benzoate)
title: InChI=1S/C24H22O2/c1-26-24(25)22-14-12-21(13-15-22)23-16-19-7-6-17-2-4-18(5-3-17)8-10-20(23)11-9-19/h2-5,9,11-16H,6-8,10H2,1H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 166.1, 144.7, 139.7, 138.9, 138.6, 138.4, 136.2, 135.0, 132.1, 131.8, 131.6, 131.1, 130.9, 128.8 (2C), 128.7, 128.6 (2C), 127.4, 51.1, 34.4, 34.2, 33.8, 33.1.
DOI: 10.14272/myaiouzmqhxenr-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (methyl 4-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)benzoate)
title: InChI=1S/C24H22O2/c1-26-24(25)22-14-12-21(13-15-22)23-16-19-7-6-17-2-4-18(5-3-17)8-10-20(23)11-9-19/h2-5,9,11-16H,6-8,10H2,1H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2941, 2924, 2888, 2847, 1715, 1605, 1592, 1567, 1503, 1443, 1435, 1414, 1394, 1313, 1278, 1191, 1177, 1164, 1122, 1105, 1092, 1018, 967, 912, 908, 885, 858, 819, 813, 795, 775, 738, 730, 708, 686, 657, 647, 630, 591, 554, 521, 499, 480, 467, 449, 384 cm–1.
DOI: 10.17632/z3my4zzx34.2
title: Data for: Change of the abundances of Fe, Ni and Zr isotopes due to neutron radiative capture reactions in heavy water reactors

description: This is the data for in the paper
DOI: 10.17632/nscnrcrsd8.3
title: Data for: Cavilignum pratchettii gen. et sp. nov., a novel type of fossil endocarp with open locules from the Neogene Gray Fossil Site, Tennessee, USA

description: Micro-CT scan of three fossil endocarps of Cavilignum pratchettii, C. Siegert & Hermsen. ETMNH 18139 (Light micrograph: Plate I, 3), ETMNH 19561 (Light micrograph: Plate I, 11; micro-CT slices: Plate II, 2, 4, 5, 11), and ETMNH 18148 (Light micrograph: Plate I, 8; micro-CT slices: Plate II, 1, 3). We thank L. Witmer and R. Ridgley (Ohio University) for micro-CT scanning of specimens. Equipment: TriFoil Imaging eXplore CT 120 Small Animal X-Ray CT Scanner.
DOI: 10.5281/zenodo.3647818
title: Neuropeptides from Sepia officinalis

description: Dataset of transcripts annotated as neuropeptides and proteines predicted as precursors in de novo transcriptome of <em>Sepia officinalis</em> ( BioProject ID : PRJNA242869) Reference : Neuropeptidome of the Cephalopod <em>Sepia officinalis</em>: Identification, Tissue Mapping, and Expression Pattern of Neuropeptides and Neurohormones during Egg Laying. J Proteome Res. 2016 Jan 4;15(1):48-67. doi: 10.1021/acs.jproteome.5b00463. Epub 2015 Dec 18.<br> <br> Zatylny-Gaudin C(1)(2), Cornet V(1)(2), Leduc A(1)(2), Zanuttini B(3), Corre E(4), Le Corguillé G(4), Bernay B(1)(5), Garderes J(6), Kraut A(7)(8)(9), Couté Y(7)(8)(9), Henry J(1)(2)(5).<br> <br> Author information: <br> (1)Normandy University , F-14032 Caen, France.<br> (2)Normandy University , UMR BOREA MNHN, UPMC, UCBN, CNRS-7208, IRD-207, F-14032 Caen, France.<br> (3)Normandy University , GREYC, UMR CNRS 6072, F-14032 Caen, France.<br> (4)UPMC, CNRS, FR2424, ABiMS, Station Biologique, 29680 Roscoff, France.<br> (5)Post Genomic Platform PROTEOGEN, Normandy University , SF ICORE 4206, F-14032 Caen, France.<br> (6)Center for Marine Research, "Ruder Boskovic" Institute , HR-52210 Rovinj, Croatia.<br> (7)Univ. Grenoble Alpes , iRTSV-BGE, F-38000 Grenoble, France.<br> (8)CEA, iRTSV-BGE, F-38000 Grenoble, France.<br> (9)INSERM, BGE, F-38000 Grenoble, France.
DOI: 10.5519/qd.juysz8o7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (359 records)
DOI: 10.5519/qd.fbumea76
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (48 records)
DOI: 10.5519/qd.j6qxst63
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (48 records)
DOI: 10.5519/qd.0kpd9cic
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (48 records)
DOI: 10.5519/qd.tgxt7rsb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.5519/qd.c21tp2xq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.17632/nxvrfbbyhs.1
title: Data for: Estrogen-induced ovarian development is time-limited during the temperature-dependent sex determination of the American alligator

description: All data analyzed in the present study.
DOI: 10.17632/gcgg8m9kts.1
title: Data for: Sex differences in testosterone reactivity and sensitivity in a non-model gerbil
DOI: 10.17894/ucph.2fd49729-f95d-40ee-aa4c-ec0cc2cd04e4
title: An appetite for pests: synanthropic insectivorous bats exploit cotton pest irruptions and consume various deleterious arthropods
DOI: 10.25573/data.11828700
title: Phyloseq workflow for microbial community analysis

description: Complete, fully reproducible phyloseq workflow for 16S rRNA microbiome analysis of the Bocas del Toro hypoxic event. Included are the HTML and Rmarkdown (.Rmd) files plus the output of the DADA2 pipeline in Rdata format which is the main input file for the phyloseq workflow.Sequences were filtered and dereplicated. Sequence variants were called and putative chimeras identified. Sequence variants were classified using SILVA and GreenGenes databases. File contains a sequence table and taxonomy table. We imported this file directly into phyloseq for community analysis.The MANUAL_INPUT.zip directory contains all of the additional input files (mainly tables) necessary to run this workflow. Please note script will create a directory called <b>R_OUTPUT </b>wherever the .Rmd file was called from. This is where the script will store output files.
DOI: 10.25573/data.11828700.v1
title: Phyloseq workflow for microbial community analysis

description: Complete, fully reproducible phyloseq workflow for 16S rRNA microbiome analysis of the Bocas del Toro hypoxic event. Included are the HTML and Rmarkdown (.Rmd) files plus the output of the DADA2 pipeline in Rdata format which is the main input file for the phyloseq workflow.Sequences were filtered and dereplicated. Sequence variants were called and putative chimeras identified. Sequence variants were classified using SILVA and GreenGenes databases. File contains a sequence table and taxonomy table. We imported this file directly into phyloseq for community analysis.The MANUAL_INPUT.zip directory contains all of the additional input files (mainly tables) necessary to run this workflow. Please note script will create a directory called <b>R_OUTPUT </b>wherever the .Rmd file was called from. This is where the script will store output files.
DOI: 10.5281/zenodo.3660519
title: Supporting data case study, ensemble climate-impact modelling

description: Data supporting the case study in 'Ensemble climate-impact modelling: extreme impacts from moderate meteorological conditions', publication under review.
DOI: 10.5281/zenodo.3660520
title: Supporting data case study, ensemble climate-impact modelling

description: Data supporting the case study in 'Ensemble climate-impact modelling: extreme impacts from moderate meteorological conditions', publication under review.
DOI: 10.5281/zenodo.3659741
title: Cenote-Taker2 BLAST Databases

description: Protein sequences formatted for BLAST searches. Used for taxonomy calling on viral and plasmid contigs.
DOI: 10.5281/zenodo.3660536
title: Cenote-Taker2 NCBI_CD hhsuite Database

description: NCBI's CD database formatted for hhsuite searches
DOI: 10.5281/zenodo.3660537
title: Cenote-Taker2 NCBI_CD hhsuite Database

description: NCBI's CD database formatted for hhsuite searches
DOI: 10.5281/zenodo.3660538
title: Cenote-Taker2 BLAST Databases

description: Protein sequences formatted for BLAST searches. Used for taxonomy calling on viral and plasmid contigs.
DOI: 10.5281/zenodo.3660539
title: Cenote-Taker2 HMM Databases

description: HMMER-formatted database of viral genes for Cenote-Taker2
DOI: 10.5281/zenodo.3660456
title: Resistance web archive collection derivatives

description: Web archive derivatives of the Resistance collection from Columbia University Libraries. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>cul-8752-parquet.tar.gz</strong> derivatives are in the Apache Parquet format, which is a columnar storage format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See this notebook for examples. <strong>Domains</strong> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: domain count <strong>Web Pages</strong> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: crawl_date url mime_type_web_server mime_type_tika content <strong>Web Graph</strong> <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: crawl_date src dest anchor <strong>Image Links</strong> <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: src image_url <strong>Binary Analysis</strong> PDFs Spreadsheets Text files Word processor files<br> The <strong>cul-8752-auk.tar.gz </strong>derivatives<strong> </strong>are the standard set of web archive derivatives produced by the Archives Unleashed Cloud. <strong>Gephi </strong>file, which can be loaded into Gephi. It will have basic characteristics already computed and a basic layout. <strong>Raw Network</strong> file, which can also be loaded into Gephi. You will have to use that network program to lay it out yourself. <strong>Full text</strong> file. In it, each website within the web archive collection will have its full text presented on one line, along with information around when it was crawled, the name of the domain, and the full URL of the content. <strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.
DOI: 10.5281/zenodo.3660457
title: Resistance web archive collection derivatives

description: Web archive derivatives of the Resistance collection from Columbia University Libraries. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>cul-8752-parquet.tar.gz</strong> derivatives are in the Apache Parquet format, which is a columnar storage format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See this notebook for examples. <strong>Domains</strong> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: domain count <strong>Web Pages</strong> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: crawl_date url mime_type_web_server mime_type_tika content <strong>Web Graph</strong> <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: crawl_date src dest anchor <strong>Image Links</strong> <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: src image_url <strong>Binary Analysis</strong> PDFs Spreadsheets Text files Word processor files<br> The <strong>cul-8752-auk.tar.gz </strong>derivatives<strong> </strong>are the standard set of web archive derivatives produced by the Archives Unleashed Cloud. <strong>Gephi </strong>file, which can be loaded into Gephi. It will have basic characteristics already computed and a basic layout. <strong>Raw Network</strong> file, which can also be loaded into Gephi. You will have to use that network program to lay it out yourself. <strong>Full text</strong> file. In it, each website within the web archive collection will have its full text presented on one line, along with information around when it was crawled, the name of the domain, and the full URL of the content. <strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.
DOI: 10.5281/zenodo.3660593
title: Is Anemia Prevalence a Good Proxy of Malaria Preva-lence for Children

description: Code for the paper <em>Is Anemia Prevalence a Good Proxy of Malaria Prevalence for Children</em>
DOI: 10.5281/zenodo.3660592
title: Is Anemia Prevalence a Good Proxy of Malaria Preva-lence for Children

description: Code for the paper <em>Is Anemia Prevalence a Good Proxy of Malaria Prevalence for Children</em>
DOI: 10.7910/dvn/ktix3d/yrzuvp
title: Goteo_donations_detail_v2.tab

description: This table reflects the details of donations to each campaign: time, amount donated, relation to match-funding mechanisms and date of the transaction, as well as if receiving a reward for the donation was declined by the user (a specific feature of Goteo). Also the messages of support received when donating, if any.