cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4457416
title: Britain Breathing 2016-2019 Air Quality and Meteorological Regional Estimates Dataset

description: This data set is a collection of estimated daily mean and maximum values for a range of air quality and meterological measurements and model forecasts for UK postcode districts (e.g. 'AB') for the years 2016-2019, inclusive. The data uses a 'concentric regions' method to estimate the measurement for all regions, as follows. If measurements exist within the region, the mean of those measurements is used, if not, then a ring of neighbouring postcode regions are selected, and the mean of their measurement values used. If no measurement sites/data are found in the first ring, the process continues, taking the next ring of postcode district regions, working outwards until one or more sensors are found in a ring. As well as the measurement estimations, the number of rings required to find site data and make the estimations is also published.<br> <br> The meteorological, pollen and air quality measurement data used to make the regional estimations can be found at this Zenodo archive. The data there contains Temperature, Relative Humidity, and Pressure data, downloaded from the Met Office MIDAS archives via the MEDMI server (https://www.data-mashup.org.uk/). Also downloaded from the MEDMI server are daily pollen measurements for the UK. PM10, PM2.5, NO2, NOx (as NO2), O3, and SO2 measurements from the DEFRA AURN network, and also model forecasts of the same made using the EMEP model. The code used to make the estimations is available in this repository: https://github.com/UoMResearchIT/region_estimators The dataset is presented in CSV format, as three files: postcode_district_data.csv: location metadata (region_id, geometry, description, Population, Nearest Postcode Areas, Country) turing_regional_estimates_aq_daily_met_pollen_pollution_imputed_data.csv: uses imputed site data (timestamp, region_id, ...[measurement name, rings]) ('rings' is the number of rings required to make the estimation) turing_regional_estimates_aq_daily_met_pollen_pollution_original_data.csv: uses original site data (timestamp, region_id, ...[measurement name, rings]) ('rings' is the number of rings required to make the estimation) turing_regional_estimates_aq_loc_type_daily_imputed_data.csv: uses imputed site data. Air quality regional estimates are calculated using specific AQ site location types* separately. (To prevent, for example, 'Traffic Urban' type sites being used to estimate 'non-traffic' or rural regions.) turing_regional_estimates_aq_loc_type_daily_original_data.csv: uses original data. Air quality regional estimates are calculated using specific AQ site location types* separately. (To prevent, for example, 'Traffic Urban' type sites being used to estimate 'non-traffic' or rural regions.) * Air quality site types: Industrial: comprises 'urban industrial' (9 sites) and suburban industrial (2 sites) 'Rural background' (14 sites) 'Urban background' (48 sites) 'Urban traffic' (47 sites)
DOI: 10.21250/db14
title: Digitised Books. c. 1510 - c. 1946. JSON (OCR derived text).

description: The dataset comprises text created by OCR from the 49,455 digitised books, equating to 65,227 volumes (25+ million pages), published between c. 1510 - c. 1946. The books cover a wide range of subject areas including philosophy, history, poetry and literature. The dataset is in JavaScript Object Notation (JSON) text format. Links metadata, PDFs, Flickr images, digital versions
DOI: 10.25810/3gtp-yy33.12
title: North American Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - December 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6073/pasta/b737e7997457e873dd332a36c8314be0
title: Hubbard Brook Experimental Forest: Flux Tower Data

description: Data collected from the Hubbard Brook Flux Tower starting in August 2016 that is also uploaded to the Ameriflux website under site name US-HBK. These data are from a suite of sensors installed on the 110 ft. tower and in the soil adjacent to the tower. Flux data are collected at 10 Hz and are processed into 30-minute time steps using Licor’s Eddy Pro software. Supporting micro-meteorological data are averaged at 30 minute intervals and are included with this data set.
DOI: 10.5519/qd.483h3ap8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21250/db16
title: Digitised Books - Images of the bound covers of books. c. 1510 - c. 1946. JPG.

description: The dataset comprises c. 61,561 images identified as 'Book Covers' from the British Library's Flickr Commons collections, dating between c. 1510 - c. 1946. The images were algorithmically gathered from 49,455 digitised books, equating to 65,227 volumes (25+ million pages), published between c. 1510 - c. 1946. The books cover a wide range of subject areas including philosophy, history, poetry and literature. The images are in .JPEG format.
DOI: 10.5281/zenodo.4469712
title: Koranic Science, a Copy of Kashshâf [58]

description: al-Qurʼān القرآن الكريم <strong>This manuscript is now IO Islamic 23 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Otto Loth, </strong><strong><em>A Catalogue of the Arabic Manuscripts in the Library of the India Office</em>, (volume 1), no. 58 here with further notations and hyperlinks]</strong>. 58. 23. Size 12<sup>1/4</sup> in. by 7<sup>3/4</sup> in.; foll. 454. Twenty-five lines in a page. An edition of the <em>Kashshâf </em>“mixed” with the text of the Koran, entitled کاشف الکشّاف. The Editor, who calls himself DARWÎSH, says in his short Preface: نحمده علی ما شرح صدور اولو(sic) البصائر بکشف قوامض الحکم... اما بعد فیقول العبد المغمور بکثرةً التشویش، العبد الاقل درویش، ان العلامة الزمخشری قد ابدع فی تفسیره للکشاف، (الکr.) و بذل جهده و اناف، کما قیل * ان التفاسیر فی الدنیا بلا عدد* و ان من بینها الکشاف کالشافی* لکنه لزخارة فضله و وفور علمه اقتصر فی اکثر المواضع علی بیان اللفظ بالتفسیر، فکان ادراکه علی الطلاب عسیر، (sic) فخطر ببال هذا العبد الضعیف المعترف بقلة البضاعة، و لسوالف ایامه بالاضاعة، ان یثبت قبل التفسیر بالآیات، و ان یکون للآیة کلها او بعضها بات، (sic) This is the First Part, concluding with Sû. 16. Well written. Foll. 256 and 263 should be transposed. [Hastings.]
DOI: 10.5281/zenodo.4469711
title: Koranic Science, a Copy of Kashshâf [58]

description: al-Qurʼān القرآن الكريم <strong>This manuscript is now IO Islamic 23 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Otto Loth, </strong><strong><em>A Catalogue of the Arabic Manuscripts in the Library of the India Office</em>, (volume 1), no. 58 here with further notations and hyperlinks]</strong>. 58. 23. Size 12<sup>1/4</sup> in. by 7<sup>3/4</sup> in.; foll. 454. Twenty-five lines in a page. An edition of the <em>Kashshâf </em>“mixed” with the text of the Koran, entitled کاشف الکشّاف. The Editor, who calls himself DARWÎSH, says in his short Preface: نحمده علی ما شرح صدور اولو(sic) البصائر بکشف قوامض الحکم... اما بعد فیقول العبد المغمور بکثرةً التشویش، العبد الاقل درویش، ان العلامة الزمخشری قد ابدع فی تفسیره للکشاف، (الکr.) و بذل جهده و اناف، کما قیل * ان التفاسیر فی الدنیا بلا عدد* و ان من بینها الکشاف کالشافی* لکنه لزخارة فضله و وفور علمه اقتصر فی اکثر المواضع علی بیان اللفظ بالتفسیر، فکان ادراکه علی الطلاب عسیر، (sic) فخطر ببال هذا العبد الضعیف المعترف بقلة البضاعة، و لسوالف ایامه بالاضاعة، ان یثبت قبل التفسیر بالآیات، و ان یکون للآیة کلها او بعضها بات، (sic) This is the First Part, concluding with Sû. 16. Well written. Foll. 256 and 263 should be transposed. [Hastings.]
DOI: 10.6084/m9.figshare.13623827
title: Dataset: The influence of chronotype on the body mass index of US college students

description: This data (Age, MEQ, BMI) is from 384 university students enrolled in health and physical exercise (HPE) courses at a mid-sized university in the West South Central United States. The data are from a two-semester period (Fall 2019 & Spring 2020) and were collated and de-identified by members of the institutional research team before being given to the research team for analysis. This study does not include data from students who opted out (the default option), students with BMI values below 14.5 kg·m-2 or above 49.4 kg·m-2, and students whose age was below 16 or above 24.
DOI: 10.6084/m9.figshare.13623827.v1
title: Dataset: The influence of chronotype on the body mass index of US college students

description: This data (Age, MEQ, BMI) is from 384 university students enrolled in health and physical exercise (HPE) courses at a mid-sized university in the West South Central United States. The data are from a two-semester period (Fall 2019 & Spring 2020) and were collated and de-identified by members of the institutional research team before being given to the research team for analysis. This study does not include data from students who opted out (the default option), students with BMI values below 14.5 kg·m-2 or above 49.4 kg·m-2, and students whose age was below 16 or above 24.
DOI: 10.21250/db15
title: Digitised Books - Flickr Tag History - Dec 2013 to March 2016. TSV.

description: The dataset comprises user submitted tags (with dates) added to the British Library Flickr Commons collections up to March 2016. The images were algorithmically gathered from 49,455 digitised books, equating to 65,227 volumes (25+ million pages), published between c. 1510 - c. 1946. The books cover a wide range of subject areas including philosophy, history, poetry and literature. The dataset is in Tab Separated Values (TSV) format.
DOI: 10.6073/pasta/a950563a1d7de05e04cf7adc0f1a2fa4
title: Prospect Hill Hydrological Stations at Harvard Forest since 2005

description: To better understand the critical role of headwater streams and wetlands in our forest ecosystem, long-term measurements were initiated in 2005 on two small watersheds in the Prospect Hill Tract of the Harvard Forest. On Nelson Brook, weirs were installed on outlet streams of an 11-ha spruce-hemlock wetland (watershed area = 44 ha). On Bigelow Brook, pipes were installed to measure flow above (watershed = 24 ha) and below (watershed = 65 ha) a 3-ha shrub-dominated beaver swamp. The gaged watersheds, though adjacent and comparable in size, differ significantly in topography, soils, wetlands, stream chemistry, stream biota, land-use history, and forest vegetation, and provide an extraordinary opportunity to study the impacts of these factors on small watershed hydrology and ecology. Weekly manual measurements were initiated in April 2005. Continuous automated measurements were initiated in December 2007. Data for the current month are available online, updated every 15 minutes, with out-of-range values replaced by NA but values not otherwise checked. Earlier data are checked and archived with missing, questionable, and estimated values flagged, following methods of the LTER ClimbDB project. A log of events affecting station measurements is also posted. For current data, please see: https://harvardforest.fas.harvard.edu/meteorological-hydrological-stations. For a complete set of archived data, please see: https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=HF070.
DOI: 10.25810/zb7c-gf43.12
title: Oceania Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - December 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/47q1-ts57.4
title: Russian Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - December 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.13644110
title: Inferring long-term effective population size with Mutation-Selection models

description: All scripts, instructions and empirical datasets (alignments, trees, life-history traits, fossile calibrations) necessary to reproduce the simulated and empirical analyses are available in Github, at https://github.com/ThibaultLatrille/MutationSelectionDrift.<br> The Bayesian inference model, written in C++ in the component based software BayesCode, is available at https://github.com/ThibaultLatrille/bayescode.<br> The simulation software SimuEvol, written in C++ is available at https://github.com/ThibaultLatrille/SimuEvol. These empirical and simulated analyses can take several weeks to run, hence, this figshare repository contains the output of the inference model (BayesCode) and analyses on both simulated (SimuEvol) and empirical dataset. Usage Notes Clone (or download) the repository MutationSelectionDrift available at https://github.com/ThibaultLatrille/MutationSelectionDrift. <br> Extract the file 'DataSimulatedExperiments.tar.xz' into the folder 'DataSimulated'.<br>Extract the file 'DataEmpiricalExperiments.tar.xz' into the folder 'DataEmpirical'.<br>Extract the file 'DataEmpiricalAnalysis.tar.xz' into the subfolder 'Analysis' of folder 'DataEmpirical'.
DOI: 10.6084/m9.figshare.13644110.v1
title: Inferring long-term effective population size with Mutation-Selection models

description: All scripts, instructions and empirical datasets (alignments, trees, life-history traits, fossile calibrations) necessary to reproduce the simulated and empirical analyses are available in Github, at https://github.com/ThibaultLatrille/MutationSelectionDrift.<br> The Bayesian inference model, written in C++ in the component based software BayesCode, is available at https://github.com/ThibaultLatrille/bayescode.<br> The simulation software SimuEvol, written in C++ is available at https://github.com/ThibaultLatrille/SimuEvol. These empirical and simulated analyses can take several weeks to run, hence, this figshare repository contains the output of the inference model (BayesCode) and analyses on both simulated (SimuEvol) and empirical dataset. Usage Notes Clone (or download) the repository MutationSelectionDrift available at https://github.com/ThibaultLatrille/MutationSelectionDrift. <br> Extract the file 'DataSimulatedExperiments.tar.xz' into the folder 'DataSimulated'.<br>Extract the file 'DataEmpiricalExperiments.tar.xz' into the folder 'DataEmpirical'.<br>Extract the file 'DataEmpiricalAnalysis.tar.xz' into the subfolder 'Analysis' of folder 'DataEmpirical'.
DOI: 10.25345/c5qn43
title: MassIVE MSV000086768 - CPTAC Breast Cancer Confirmatory Study
title: &lt;p&gt;Tissue for this CPTAC study was collected and characterized for a confirmatory cohort of 125 individuals with breast cancer. Quantitative mass-spectrometry-based proteomic, phosphoproteomic, and acetylome analyses were performed on breast tumors (125 participants) and adjacent normal breast tissue (18 participants). The analyses of this CPTAC cohort were conducted in order to more extensively characterize the proteogenomic landscape of breast cancer initially described in the publication by &lt;a href="https://www.ncbi.nlm.nih.gov/pubmed/27251275" target="_blank"&gt;Mertins et al., (Nature 2016)&lt;/a&gt;. Data were generated with TMT10plex quantification and each 10-plex experiment contained a common reference sample composed of a pooled mixture of 40 tumor samples. There are 17 global proteomic 10-plex datasets each with 25 fractions, 17 phosphoproteomic 10-plex datasets each with 13 fractions, and 17 acetylome 10-plex datasets each with 6 fractions. Raw LC-MS/MS (level 1 data) provided below are from investigators at the Proteome Characterization Center located at the Broad Institute of MIT and Harvard. Raw data were processed through the CPTAC Common Data Analysis Pipeline (CDAP) to produce peptide spectrum match reports (level 2 data) and protein summary reports (level 3 data), which are also provided below.&lt;/p&gt;&lt;p&gt;TMT phosphoproteome data were generated twice for plex #2 ,02CPTAC_BCProspective_Phosphoproteome_BI. The first replicate (20160928) had an uncharacteristically low phosphopeptide enrichment rate of 72%, typical values are &gt; 90%. Hence, the IMAC flow thru was re-enriched to generate a second dataset (20170303). However, the second replicate yielded only 60% as many phosphopeptides and the phospho-enrichment rate was worse, 62%. Consequently, only the "20160928" dataset will be used in the final analyses, the second dataset (20170303) is labeled "deprecated."&lt;/p&gt; ' &lt;ul&gt;&lt;li&gt;Dataset imported into MassIVE from &lt;a href="https://cptac-data-portal.georgetown.edu/study-summary/S039"&gt;https://cptac-data-portal.georgetown.edu/study-summary/S039&lt;/a&gt; on 01/25/21&lt;/li&gt;&lt;/ul&gt;
DOI: 10.6073/pasta/631cb5cefb2d8f5fbc7cf264e49a577f
title: Harvard Forest Snow Pillow since 2009

description: Water storage in snowpack is a key factor in the hydrological cycle of central New England. The Harvard Forest Snow Pillow provides continuous long-term measurements of the water content of snowpack (snow water equivalent) during the winter months. The snow pillow is located in a mature mixed hardwood stand with scattered conifers about 50 m north of the Nelson Brook Big Weir. For current data, please see: https://harvardforest.fas.harvard.edu/meteorological-hydrological-stations. For a complete set of archived data, please see: https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=HF155.
DOI: 10.25810/37f9-1j65.33
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - December 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/8196-e820.33
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - December 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6073/pasta/302681bcae4673fa492ef877d5c778be
title: Barn Tower Meteorological Station at Harvard Forest since 2015

description: The Barn Tower (40 m) was installed in 2009 to support meteorological and phenological measurements and to provide a relay point for the Harvard Forest field wireless network. A wind instrument was later installed at the top of the tower to provide continuous measurements of wind speed and direction.
DOI: 10.5281/zenodo.4469734
title: Hubble and Spitzer data around a z=7.2 quasar in the GOODS-North Field

description: This dataset provides 10-arcminute HST and Spitzer mosaics of the GOODS-North survey field, centered on the z=11.1 galaxy GNz11 (Oesch et al. 2016) and including a z=7.2 quasar (Fujimoto et al., in prep). Complete mosaics are available at https://s3.amazonaws.com/grizli-v1/Mosaics/index.html. The mosaics were produced with the grizli (HST) and golfir (Spitzer) software modules. Also included are the 2D extracted grism spectra (gnz7qso_16155.beams.fits) that can be analyzed with grizli. <strong>Table 1:</strong> HST exposure summary <pre><strong>Filter N t(ks) Proposal ID</strong> f435w 6 7.2 9583 f606w 23 9.3 9583,10339,12443,13779 f775w 35 19.1 9583,9727,9728,10339,11600 f814w 42 23.8 12442,12443,12444,12445,13420 f850lp 82 36.9 9583,9727,9728,10189,10339,12444,13063 f105w 6 3.3 12442,13420 f125w 8 4.4 12443,12444,12445 f140w 6 1.2 11600 f160w 8 5.4 12443,12444,12445 g102 4 5.0 13420 g141 8 8.6 11600 </pre>
DOI: 10.5281/zenodo.4469733
title: Hubble and Spitzer data around a z=7.2 quasar in the GOODS-North Field

description: This dataset provides 10-arcminute HST and Spitzer mosaics of the GOODS-North survey field, centered on the z=11.1 galaxy GNz11 (Oesch et al. 2016) and including a z=7.2 quasar (Fujimoto et al., in prep). Complete mosaics are available at https://s3.amazonaws.com/grizli-v1/Mosaics/index.html. The mosaics were produced with the grizli (HST) and golfir (Spitzer) software modules. Also included are the 2D extracted grism spectra (gnz7qso_16155.beams.fits) that can be analyzed with grizli. <strong>Table 1:</strong> HST exposure summary <pre><strong>Filter N t(ks) Proposal ID</strong> f435w 6 7.2 9583 f606w 23 9.3 9583,10339,12443,13779 f775w 35 19.1 9583,9727,9728,10339,11600 f814w 42 23.8 12442,12443,12444,12445,13420 f850lp 82 36.9 9583,9727,9728,10189,10339,12444,13063 f105w 6 3.3 12442,13420 f125w 8 4.4 12443,12444,12445 f140w 6 1.2 11600 f160w 8 5.4 12443,12444,12445 g102 4 5.0 13420 g141 8 8.6 11600 </pre>
DOI: 10.5517/ccdc.csd.cc22b8c2
title: CCDC 1916493: Experimental Crystal Structure Determination

description: Related Article: Min Song, Jian Zhang, Ging Chan, Ying Hou, Xiu-Ping Chen, Xiao-Qi Zhang, Wen-Cai Ye, Qing-Wen Zhang|2020|J.Nat.Prod.|83|3502|doi:10.1021/acs.jnatprod.9b01151
DOI: 10.5517/ccdc.csd.cc22b8d3
title: CCDC 1916494: Experimental Crystal Structure Determination

description: Related Article: Min Song, Jian Zhang, Ging Chan, Ying Hou, Xiu-Ping Chen, Xiao-Qi Zhang, Wen-Cai Ye, Qing-Wen Zhang|2020|J.Nat.Prod.|83|3502|doi:10.1021/acs.jnatprod.9b01151
DOI: 10.5517/ccdc.csd.cc24ddfd
title: CCDC 1978123: Experimental Crystal Structure Determination

description: Related Article: Tianyu Zheng, Xinyan Wang, Wing-Hin Ng, Ying-Lung Steve Tse, Ying-Yeung Yeung|2020|Nat. Catal.|3|993|doi:10.1038/s41929-020-00530-9
DOI: 10.5517/ccdc.csd.cc24ddgf
title: CCDC 1978124: Experimental Crystal Structure Determination

description: Related Article: Tianyu Zheng, Xinyan Wang, Wing-Hin Ng, Ying-Lung Steve Tse, Ying-Yeung Yeung|2020|Nat. Catal.|3|993|doi:10.1038/s41929-020-00530-9
DOI: 10.5517/ccdc.csd.cc24ddjh
title: CCDC 1978126: Experimental Crystal Structure Determination

description: Related Article: Tianyu Zheng, Xinyan Wang, Wing-Hin Ng, Ying-Lung Steve Tse, Ying-Yeung Yeung|2020|Nat. Catal.|3|993|doi:10.1038/s41929-020-00530-9
DOI: 10.5517/ccdc.csd.cc24vkl5
title: CCDC 1991737: Experimental Crystal Structure Determination

description: Related Article: Ana Paula P. Klein Hendges, Elaine Fernanda dos Santos, Sirlei D. Teixeira, Francielli S. Santana, Michelangelo M. Trezzi, Andrea N. L. Batista, Joao M. Batista, Vanderlei A. de Lima, Francisco de Assis Marques, Beatriz Helena L. N. Sales Maia|2020|J.Nat.Prod.|83|3511|doi:10.1021/acs.jnatprod.0c00324
DOI: 10.5517/ccdc.csd.cc24ddhg
title: CCDC 1978125: Experimental Crystal Structure Determination

description: Related Article: Tianyu Zheng, Xinyan Wang, Wing-Hin Ng, Ying-Lung Steve Tse, Ying-Yeung Yeung|2020|Nat. Catal.|3|993|doi:10.1038/s41929-020-00530-9
DOI: 10.5517/ccdc.csd.cc24vkk4
title: CCDC 1991736: Experimental Crystal Structure Determination

description: Related Article: Ana Paula P. Klein Hendges, Elaine Fernanda dos Santos, Sirlei D. Teixeira, Francielli S. Santana, Michelangelo M. Trezzi, Andrea N. L. Batista, Joao M. Batista, Vanderlei A. de Lima, Francisco de Assis Marques, Beatriz Helena L. N. Sales Maia|2020|J.Nat.Prod.|83|3511|doi:10.1021/acs.jnatprod.0c00324