cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc285c50
title: CCDC 2090521: Experimental Crystal Structure Determination

description: Related Article: Ya-Jian Hu, Chen-Chen Gu, Xin-Feng Wang, Long Min, Chuang-Chuang Li|2021|J.Am.Chem.Soc.|143|17862|doi:10.1021/jacs.1c09637
DOI: 10.5517/ccdc.csd.cc285c61
title: CCDC 2090522: Experimental Crystal Structure Determination

description: Related Article: Ya-Jian Hu, Chen-Chen Gu, Xin-Feng Wang, Long Min, Chuang-Chuang Li|2021|J.Am.Chem.Soc.|143|17862|doi:10.1021/jacs.1c09637
DOI: 10.5517/ccdc.csd.cc285c72
title: CCDC 2090523: Experimental Crystal Structure Determination

description: Related Article: Ya-Jian Hu, Chen-Chen Gu, Xin-Feng Wang, Long Min, Chuang-Chuang Li|2021|J.Am.Chem.Soc.|143|17862|doi:10.1021/jacs.1c09637
DOI: 10.5517/ccdc.csd.cc286l14
title: CCDC 2091695: Experimental Crystal Structure Determination

description: Related Article: Ya-Jian Hu, Chen-Chen Gu, Xin-Feng Wang, Long Min, Chuang-Chuang Li|2021|J.Am.Chem.Soc.|143|17862|doi:10.1021/jacs.1c09637
DOI: 10.5517/ccdc.csd.cc286l36
title: CCDC 2091697: Experimental Crystal Structure Determination

description: Related Article: Ya-Jian Hu, Chen-Chen Gu, Xin-Feng Wang, Long Min, Chuang-Chuang Li|2021|J.Am.Chem.Soc.|143|17862|doi:10.1021/jacs.1c09637
DOI: 10.5517/ccdc.csd.cc286l47
title: CCDC 2091698: Experimental Crystal Structure Determination

description: Related Article: Ya-Jian Hu, Chen-Chen Gu, Xin-Feng Wang, Long Min, Chuang-Chuang Li|2021|J.Am.Chem.Soc.|143|17862|doi:10.1021/jacs.1c09637
DOI: 10.5517/ccdc.csd.cc27g541
title: CCDC 2069192: Experimental Crystal Structure Determination

description: Related Article: Sumeng Liu, Gregory S. Girolami|2021|J.Am.Chem.Soc.|143|17492|doi:10.1021/jacs.1c06846
DOI: 10.5517/ccdc.csd.cc288s9n
title: CCDC 2093811: Experimental Crystal Structure Determination

description: Related Article: Sumeng Liu, Gregory S. Girolami|2021|J.Am.Chem.Soc.|143|17492|doi:10.1021/jacs.1c06846
DOI: 10.5517/ccdc.csd.cc289tkz
title: CCDC 2094811: Experimental Crystal Structure Determination

description: Related Article: Stefan Weber, Manuel Glavic, Berthold Stöger, Ernst Pittenauer, Maren Podewitz, Luis F. Veiros, Karl Kirchner|2021|J.Am.Chem.Soc.|143|17825|doi:10.1021/jacs.1c09175
DOI: 10.5517/ccdc.csd.cc28c6sn
title: CCDC 2096151: Experimental Crystal Structure Determination

description: Related Article: Dong-Chao Wang, Peng-Peng Cheng, Ting-Ting Yang, Pan-Pan Wu, Gui-Rong Qu, Hai-Ming Guo|2021|Org.Lett.|23|7865|doi:10.1021/acs.orglett.1c02881
DOI: 10.6084/m9.figshare.16903483
title: Readiness Index for Climate Change Adaptation Database for Africa

description: <i>The repercussions of climate change in Africa profound. The effects are recorded notably on agricultural and water systems across the continent. This data brief presents historical data and the first of its kind maps of readiness of Africa to climate change adaptation. The data are technically validated through a newly developed readiness Index (ClimAdaptCap Index). The Data and maps show that readiness for climate change adaptation is driven by the intensity of climate forcing and adaptive capacity. The climate data includes precipitation and temperature for the period 1991-2016. The latter were culled from the World Bank Climate Portal. The adaptive capacity data included proxies such as poverty and literacy rates for the same historical period. These were collected from the World Bank and Macrotrends. These climate data were normalized using the normalization function to enhance interpretation, comparison/fusion into the Index. Missing poverty and literacy rate data were estimated by linear interpolation of the poverty and literacy rate data. The readiness maps and data show that North and Southern Africa are the readiest for climate change while West Africa is the least ready and Middle and East Africa are in the middle. The data shows further that, readiness has a positive correlation with literacy rates and an inverse correlation with poverty rates. The data, maps and index can be adapted in different contexts principally around Africa.</i>
DOI: 10.5285/b0cf5a39647e4036bd5351274c5daa5f
title: Improved high-resolution ocean reanalysis of Met Office GloSea5 data using the simple smoother algorithm, v1.0, June 2016

description: The dataset is a Global ¼° 0-2000m ocean reanalysis for June 2016, providing temperature and salinity data. The product is based on Met Office GloSea5 reanalysis (Blockley et al. 2014), with the simple smoother algorithm applied to improve the original reanalysis. The simple smoother is designed for smooth data adjustments in sequentially generated reanalysis products by utilizing knowledge of future assimilation increments. A decay time parameter is applied to the smoother increments to account for memory decay timescales in the ocean. Further information is available in the documentation section.
DOI: 10.6084/m9.figshare.16903741
title: Dataset_2_TEXT FILE THAT IS TAB SEPARATED.txt.txt

description: <b>Awareness of Big Data Issues</b>
DOI: 10.6084/m9.figshare.16903741.v1
title: Dataset_2_TEXT FILE THAT IS TAB SEPARATED.txt.txt

description: <b>Awareness of Big Data Issues</b>
DOI: 10.6084/m9.figshare.16903084
title: The Data of 38 Selected Urban Private Garden Cases in Suzhou

description: This dataset is about related data of 38 selected urban private gardens calculated by Depthmap according to the segment map of Suzhou based on <i>Gu Su Cheng Tu</i>(Map of Suzhou City) which was drawn in 1975.
DOI: 10.6084/m9.figshare.16903084.v1
title: Untitled Item

description: This dataset is about related data of 38 selected urban private gardens calculated by Depthmap according to the segment map of Suzhou based on <i>Gu Su Cheng Tu</i>(Map of Suzhou City) which was drawn in 1975.
DOI: 10.5281/zenodo.5592547
title: bioRxiv 10k with assets

description: This dataset is a superset of the bioRxiv 10k dataset. It additionally includes the assets (usually images) that are linked by the XML files. The assets were retrieved from the bioRxiv's tdm bucket. Assets that are not linked by the XML were omitted. Examples of those would be some large videos. This dataset serves a similar purpose as the bioRxiv 10k dataset, but for use-cases that require the assets. e.g. training and evaluation of figure image extraction. This dataset mirrors the exact same documents and structure as the bioRxiv 10k dataset. But rather than just containing the PDF and XML files, it also contains the linked assets (often images, but not necessarily). The dataset was created as part of eLife's ScienceBeam project.
DOI: 10.5281/zenodo.5592546
title: bioRxiv 10k with assets

description: This dataset is a superset of the bioRxiv 10k dataset. It additionally includes the assets (usually images) that are linked by the XML files. The assets were retrieved from the bioRxiv's tdm bucket. Assets that are not linked by the XML were omitted. Examples of those would be some large videos. This dataset serves a similar purpose as the bioRxiv 10k dataset, but for use-cases that require the assets. e.g. training and evaluation of figure image extraction. This dataset mirrors the exact same documents and structure as the bioRxiv 10k dataset. But rather than just containing the PDF and XML files, it also contains the linked assets (often images, but not necessarily). The dataset was created as part of eLife's ScienceBeam project.
DOI: 10.5281/zenodo.5596761
title: bioRxiv 10k figure bounding boxes

description: This dataset contains figure bounding boxes corresponding to the bioRxiv 10k dataset. It provides annotations in two formats: COCO format (JSON) JATS XML with GROBID's "coords" attribute The COCO format contains bounding boxes in rendered pixel units, as well as PDF user units. The latter uses field names with the "pt_" prefix. The "coords" attribute uses the PDF user units. The dataset was generated by using an algorithm to find the figure images within the rendered PDF pages. The main algorithm used for that purpose is SIFT. As a fallback, OpenCV's Template Matching (with multi scaling) was used. There may be some error cases in the document. Very few documents were excluded, were neither algorithm was able to find any match for one of the figure images (six documents in the train subset, two documents in the test subset). Figure images may appear next to a figure description, but they may also appear as "attachments". The latter usually appears at the end of the document (but not always) and often on pages with dimensions different to the regular page size (but not always). This dataset itself doesn't contain any images. The PDF to render pages can be found in the bioRxiv 10k dataset. The dataset is intended for training or evaluation purposes of the semantic Figure extraction. The evaluation score would be calculated by comparing the extracted bounding boxes with the one from this purpose. (example implementation ScienceBeam Judge) The dataset was created as part of eLife's ScienceBeam project.
DOI: 10.5281/zenodo.5596760
title: bioRxiv 10k figure bounding boxes

description: This dataset contains figure bounding boxes corresponding to the bioRxiv 10k dataset. It provides annotations in two formats: COCO format (JSON) JATS XML with GROBID's "coords" attribute The COCO format contains bounding boxes in rendered pixel units, as well as PDF user units. The latter uses field names with the "pt_" prefix. The "coords" attribute uses the PDF user units. The dataset was generated by using an algorithm to find the figure images within the rendered PDF pages. The main algorithm used for that purpose is SIFT. As a fallback, OpenCV's Template Matching (with multi scaling) was used. There may be some error cases in the document. Very few documents were excluded, were neither algorithm was able to find any match for one of the figure images (six documents in the train subset, two documents in the test subset). Figure images may appear next to a figure description, but they may also appear as "attachments". The latter usually appears at the end of the document (but not always) and often on pages with dimensions different to the regular page size (but not always). This dataset itself doesn't contain any images. The PDF to render pages can be found in the bioRxiv 10k dataset. The dataset is intended for training or evaluation purposes of the semantic Figure extraction. The evaluation score would be calculated by comparing the extracted bounding boxes with the one from this purpose. (example implementation ScienceBeam Judge) The dataset was created as part of eLife's ScienceBeam project.
DOI: 10.34740/kaggle/dsv/2756527
title: COVID Vaccination in World (updated daily)
DOI: 10.5285/367435d1-b2fd-4692-9570-852f9a21ec02
title: Processed line aeromagnetic data from the FISS 2015 survey covering the Foundation Ice Stream (2015/2016)

description: An airborne radar survey was flown during the austral summer of 2015/16 over the Foundation Ice Stream, Bungenstock Ice Rise, and the Filchner ice shelf as part of the 5-year Filchner Ice Shelf System (FISS) project. This project was a NERC-funded (grant reference number: NE/L013770/1) collaborative initiative between the British Antarctic Survey, the National Oceanography Centre, the Met Office Hadley Centre, University College London, the University of Exeter, Oxford University, and the Alfred Wenger Institute to investigate how the Filchner Ice Shelf might respond to a warmer world, and what the impact of sea-level rise could be by the middle of this century. The 2015/16 aerogeophysics survey acquired ~7,000 line km of aerogeophysical data with a particular focus on the Foundation Ice Stream. Our Twin Otter aircraft was equipped with dual-frequency carrier-phase GPS for navigation, radar altimeter for surface mapping, wing-tip magnetometers, and a new ice-sounding radar system (PASIN-2). We present here the processed line aeromagnetic data collected using wing-tip magnetometers mounted in the BAS aerogeophysically equipped Twin Otter aircraft. Data are provided as XYZ ASCII line data.
description: The dataset available here includes all channels from raw through to levelled and microlevelled products. Channel naming and processing follows SCAR/ADMAP2 data release protocols. channel description: Line:Flight Flight line and flight number. Format XYYY:ZZ X=L (line), T(Tie), P or S (legacy survey) Lat Lon Height_WGS84 Direct GPS navigation information, accurate to ~5 m. Date Time UTC time values MagR Raw magnetic data (nT) Tcorr Tip correction for aircraft systems (nT) RefField IGRF reference field (nT) MagRTC Mag corrected for Tips and reference field NOTE No compensation correction (nT) BCorr Base station correction with 30 min filter and after mean removal (nT) MagBRT Mag after base station correction (nT) - B=base corrected, T=tip corrected, R=regional corrected Acorr Heading correction - only applicable to some lines (nT) MagF Final mag field prior to levelling (nT) MagL Statistically levelled anomalies (nT) MagML Micro-levelled anomalies (nT) x y Polar Stereographic coordinates (m) FISS - 15/16 season Foundation: Opportunistic aeromagnetic data collected during an airborne radar survey. Flights with 2.5 km line spacing. Standard ADMAP2 processing flow, including IGRF and Tip tank corrections. However, due to the opportunistic nature of the survey no compensation calibration for aircraft motion was performed. Base station correction based on local base station filtered with 30 minute filter, after removal of mean base station value across the survey period. Microleveling utilised gridded line data filtered with 10 km Butterworth How Pass, and cosine directional filter (with Azimuth 35, and degree 1.5). Filtered correction was sampled onto lines and low-pass filtered with 4 km Butterworth filter prior to subtraction.
DOI: 10.5281/zenodo.5616679
title: Process Mining Algorithm for Online Intrusion Detection System

description: The pre-processed data we used in the paper.
DOI: 10.5281/zenodo.5616678
title: Process Mining Algorithm for Online Intrusion Detection System

description: The pre-processed data we used in the paper.
DOI: 10.6084/m9.figshare.16903915
title: Autopsy Data 2020 CLEANED (1).xlsx

description: Data set for an autopsy sub-study nested under a prospective observational cohort study conducted in Uganda among inpatients on the infectious diseases, pulmonary, and emergency wards at Kiruddu National Referral Hospital from February 2017 to August 2020
DOI: 10.6084/m9.figshare.16903915.v1
title: Autopsy Data 2020 CLEANED (1).xlsx

description: Data set for an autopsy sub-study nested under a prospective observational cohort study conducted in Uganda among inpatients on the infectious diseases, pulmonary, and emergency wards at Kiruddu National Referral Hospital from February 2017 to August 2020
DOI: 10.25345/c58v91
title: MassIVE MSV000088284 - fungal extracts samples (Paralulworthia)
title: 8 strains that belong to the genus Paralulworthia were investigated to characterize their secondary metabolite composition and evaluate metabolome variations within this genus. This aspect was achieved by applying multivariate data analyses and a combination of LCMS-based metabolite profiling and molecular networking. This data contain MzXML file which represent the peak lists of the data used in a future publication.
DOI: 10.5281/zenodo.5614942
title: Characterization data of the modularPhotoreactor

description: Datasets obtained during characterization of the modularPhotoreactor described in 10.5281/zenodo.5614884 Actinometry data can be found in "act" files. Radiometry data can be found in "rad" files. The documentation and all required files for manufacturing are available at GitHub: https://github.com/photonZfeed/modularPhotoreactor
DOI: 10.5281/zenodo.5614941
title: Characterization data of the modularPhotoreactor

description: Datasets obtained during characterization of the modularPhotoreactor described in 10.5281/zenodo.5614884 Actinometry data can be found in "act" files. Radiometry data can be found in "rad" files. The documentation and all required files for manufacturing are available at GitHub: https://github.com/photonZfeed/modularPhotoreactor
DOI: 10.25721/0hyf-9b25
title: Cérémonie malbar de la marche sur le feu. Arrivée du cortège allant de la rivière au brasier
DOI: 10.25721/hqhe-7v11
title: Monsieur Huret achète des fruits. Dicton pour les petits enfants
DOI: 10.5281/zenodo.5616753
title: The rest 5 files of WHUS2-CR

description: The rest 5 files of WHUS2-CR dataset. If you use this dataset for your research, please cite us accordingly: #Reference: [1] J. Li, Z. W, Z. Hu, J. Z, M. Li, L. Mo and M. Molinier, “Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion,” ISPRS J. Photogramm. Remote Sens., vol. 166, pp. 373–389, Aug. 2020, doi: 10.1016/j.isprsjprs.2020.06.021. <br> [2] J. Li, Z. Wu, Z. Hu, Z. Li, Y. Wang, and M. Molinier, “Deep learning based thin cloud removal fusing vegetation red edge and short wave infrared spectral information for Sentinel-2A imagery,” Remote Sens., vol. 13, no. 1, p. 157, Jan. 2021, doi: 10.3390/rs13010157.
DOI: 10.5281/zenodo.5607581
title: Data for the research article: "Simulations of Energetic Neutral Atom sputtering from Ganymede in preparation for the JUICE mission"

description: Data for the research article: "Simulations of Energetic Neutral Atom sputtering from Ganymede in preparation for the JUICE mission"
description: This research was supported by the Swedish National Space Agency, grant 189/16.
DOI: 10.5281/zenodo.5607580
title: Data for the research article: "Simulations of Energetic Neutral Atom sputtering from Ganymede in preparation for the JUICE mission"

description: Data for the research article: "Simulations of Energetic Neutral Atom sputtering from Ganymede in preparation for the JUICE mission"
description: This research was supported by the Swedish National Space Agency, grant 189/16.
DOI: 10.6073/pasta/636e65184c885a603fef603cf361dc11
title: Chemistry of rainfall and throughfall from El Verde and Bisley

description: Rain, throughfall, and stream water are collected weekly at the LEF sites listed below. These data sets begin as early as 1983; LTER sampling began in 1988. Rain and throughfall samples are the total catch for the week, and are exposed to field conditions for that time. No event sampling is conducted on a routine basis. Rain samples from WDEV are wet only from an automatically-closing collector that prevents any dry deposition (Aerochem Metrics NADP collector). RCEV and RCB are bulk or always-open collectors that receive dry deposition by sedimentation. All samples are measured for pH and conductivity, and then filtered (pre-combusted Whatman GF/F glass fiber filter) prior to further analysis. From 1983-1994 samples were cooled and returned to the San Juan chemistry laboratory for analysis. During those years, samples for NH4 and NO3 analyses were refrigerated continuously until analysis. Subsamples for NH4 analysis were also preserved with 1 molar H2SO4. From 1994 on, samples for NH4 and NO3 were frozen until analysis, were not acidified, and all analyses were conducted at the University of New Hampshire. Rain and Throughfall Sampling SitesDescriptions of LTER LUQ rain and throughfall weekly sample chemistry data from 1988 onwards. Chemical concentrations are recorded as mg/L or ug/L as appropriate. Values below detection limits are recorded as 1/2 the detection limit. Site Abbreviation Description Comments Rain collector Bisley. RCB Bulk collector. Rain collector El Verde RCEV Bulk collector. Wet/dry El Verde. WDEV. Wet only collector. Throughfall Bisley. TFB=TCB TF bulk 10-collector composite Bisley gap= BGAP, TF bulk 10-collector composite
DOI: 10.25721/cm40-b425
title: Qu'est-ce qu'ils me disent : mange toutes les croûtes
DOI: 10.5517/ccdc.csd.cc28c6tp
title: CCDC 2096152: Experimental Crystal Structure Determination

description: Related Article: Dong-Chao Wang, Peng-Peng Cheng, Ting-Ting Yang, Pan-Pan Wu, Gui-Rong Qu, Hai-Ming Guo|2021|Org.Lett.|23|7865|doi:10.1021/acs.orglett.1c02881
DOI: 10.5517/ccdc.csd.cc28fvyj
title: CCDC 2098698: Experimental Crystal Structure Determination

description: Related Article: Ruoqing Yao, Yanxi Li, Yang Chen, Boran Xu, Changhui Chen, Chunxi Zhang|2021|J.Am.Chem.Soc.|143|17360|doi:10.1021/jacs.1c09085
DOI: 10.5517/ccdc.csd.cc28fvzk
title: CCDC 2098699: Experimental Crystal Structure Determination

description: Related Article: Ruoqing Yao, Yanxi Li, Yang Chen, Boran Xu, Changhui Chen, Chunxi Zhang|2021|J.Am.Chem.Soc.|143|17360|doi:10.1021/jacs.1c09085
DOI: 10.5517/ccdc.csd.cc28fw0m
title: CCDC 2098700: Experimental Crystal Structure Determination

description: Related Article: Ruoqing Yao, Yanxi Li, Yang Chen, Boran Xu, Changhui Chen, Chunxi Zhang|2021|J.Am.Chem.Soc.|143|17360|doi:10.1021/jacs.1c09085
DOI: 10.3886/e116504v1-100060
title: Replication data for: The Interest Rate Elasticity of Mortgage Demand: Evidence from Bunching at the Conforming Loan Limit

description: This paper provides novel estimates of the interest rate elasticity of mortgage demand by measuring the degree of bunching in response to a discrete jump in interest rates at the conforming loan limit--the maximum loan size eligible for purchase by Fannie Mae and Freddie Mac. The estimates indicate that a 1 percentage point increase in the rate on a 30-year fixed-rate mortgage reduces first mortgage demand by between 2 and 3 percent. One-third of this response is driven by borrowers who take out second mortgages, which implies that total mortgage debt only declines by 1.5 to 2 percent.
DOI: 10.6084/m9.figshare.16904002
title: Table 1. Actual, reference and normalized indicators of economic security of the Rostov, Krasnodar and Belgorod regions, 2020

description: The table shows the actual and reference indicators of economic security of the Rostov, Krasnodar and Belgorod regions in 2020, as well as the normalized indicators of economic security of the regions and their weights calculated by the authors.<br>Statistical data are presented in the publications:Belgorodstat (2021). Belgorod region in numbers. 2021: Brief. stat. collection.Krasnodarstat (2021). Krasnodar Territory in numbers. 2020: Brief. stat. collection.Rostovstat (2021). Rostov region in numbers. 2020: Brief. stat. collection. <br>
DOI: 10.6084/m9.figshare.16904002.v1
title: Table 1. Actual, reference and normalized indicators of economic security of the Rostov, Krasnodar and Belgorod regions, 2020

description: The table shows the actual and reference indicators of economic security of the Rostov, Krasnodar and Belgorod regions in 2020, as well as the normalized indicators of economic security of the regions and their weights calculated by the authors.<br>Statistical data are presented in the publications:Belgorodstat (2021). Belgorod region in numbers. 2021: Brief. stat. collection.Krasnodarstat (2021). Krasnodar Territory in numbers. 2020: Brief. stat. collection.Rostovstat (2021). Rostov region in numbers. 2020: Brief. stat. collection. <br>
DOI: 10.5281/zenodo.5617626
title: Figure 5J. Monte Carlo simulation

description: Averaged energy distribution along the depth, from the Monte Carlo model of the simulated domain.
DOI: 10.5281/zenodo.5617625
title: Figure 5J. Monte Carlo simulation

description: Averaged energy distribution along the depth, from the Monte Carlo model of the simulated domain.
DOI: 10.5281/zenodo.4575398
title: Femtosecond electron diffraction data of nickel

description: Femtosecond electron diffraction data of nickel measured at the Fritz Haber Institute in Berlin. The dataset contains measurements at 3 different excitation wavelengths (2300 nm, 800 nm and 480 nm) and several excitation densities each. The sample was a polycrystalline film with a thickness of 20 nm, sandwiched between two layers of silicon nitride with a thickness of 5 nm each. More information is available here: https://doi.org/10.1103/PhysRevResearch.3.023032