cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3965738
title: Carbon dioxide and methane exchange of a patterned subarctic fen during two contrasting growing seasons [Data set]

description: The data set contains carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) fluxes on ecosystem and plant community level, and ancilliary meteorological and environmental data, measured at Kaamanen fen in Northern Finland (N69°8.435', E27°16.189', 155 m a.s.l.), during 2017 - 2018. Additionally, the data set contains soil data from the fen, forest and lake ecosystems in the catchment, measured by Juha Mikola. C_fluxes_Heiskanen_et_al.csv includes ecosystem scale quality screened, u* filtered and gap-filled eddy covariance flux data and plant community scale flux data modelled from manual flux chamber measurements. environmental_data1_Heiskanen_et_al.csv and environmental_data2_Heiskanen_et_al.csv include ancillary meteorological and environmental data. LAI_data_2017_Heiskanen_et_al.csv and LAI_data_2018_Heiskanen_et_al.csv include leaf area index data. UEF_data_with_LCTs.xlsx includes soil data from peatlands, mineral soils and lake sediments, by Juha Mikola.
description: This work was supported by the Finnish Meteorological Institute, the University of Helsinki, the Natural Resources Institute Finland and the Academy of Finland CAPTURE-project (Carbon dynamics across Arctic landscape gradients: past, present and future) grant (no. 296423).
DOI: 10.7910/dvn/cqkyvy/1tx3og
title: Cq for Fig 4a.tab

description: Threshold cycle values for standard mode real-time PCR reactions (6 replicates) containing 10 copies of target DNA
DOI: 10.7910/dvn/cqkyvy/rekcgv
title: Cq for Fig 5.tab

description: Threshold cycle values for triplicate real-time PCR reactions using field eDNA samples spiked with 75 copies of target DNA as template
DOI: 10.7910/dvn/cqkyvy/kmekyp
title: Cq for Fig 3b.tab

description: Threshold cycle values for fast mode real-time PCR reactions (6 replicates) containing 10,000 copies of target DNA
DOI: 10.7910/dvn/cqkyvy/m8cx5z
title: Cq for Fig 4b.tab

description: Threshold cycle values for fast mode real-time PCR reactions (6 replicates) containing 10 copies of target DNA
DOI: 10.7910/dvn/cqkyvy/qeqxaa
title: Cq for Fig 3a.tab

description: Threshold cycle values for standard mode real-time PCR reactions (6 replicates) containing 10,000 copies of target DNA
DOI: 10.7910/dvn/cqkyvy/u4vb3s
title: Cq for Fig 1.tab

description: Threshold cycle values for triplicate real-time PCR reactions in the standard mode
DOI: 10.7910/dvn/cqkyvy/u6wugw
title: Cq for Fig 2.tab

description: Threshold cycle values for triplicate real-time PCR reactions in the fast mode
DOI: 10.7910/dvn/t6wc1t/5b0ipi
title: jeehp-16-28-dataset1.txt

description: :unav
DOI: 10.7910/dvn/t6wc1t/cseszu
title: jeehp-16-28-dataset2.txt

description: :unav
DOI: 10.7910/dvn/t6wc1t/fyry4s
title: jeehp-16-28-dataset3.txt

description: :unav
DOI: 10.7910/dvn/t6wc1t/iulocz
title: jeehp-16-28-dataset5.txt

description: :unav
DOI: 10.7910/dvn/t6wc1t/qoq47q
title: jeehp-16-28-dataset4.txt

description: :unav
DOI: 10.7910/dvn/icombs/9jibqf
title: usa_00003.do

description: Code for data extraction
DOI: 10.7910/dvn/icombs/xpzmis
title: code.do

description: Code for analysis
DOI: 10.7910/dvn/t6wc1t/f9m5ks
title: jeehp-16-28-supple1.abstract recording.avi

description: :unav
DOI: 10.7910/dvn/t6wc1t/q1sscf
title: jeehp-16-28-dataset6.xlt

description: :unav
DOI: 10.7910/dvn/iedgnu/4s4fok
title: POLBE_DATA.dta

description: Data file (Stata)
DOI: 10.7910/dvn/iedgnu/m2mjvw
title: POLBE_CODE.do

description: Do file (Stata)
DOI: 10.5281/zenodo.3354903
title: WebSeg Web Page Segmentations

description: Dataset for an upcoming publication.
DOI: 10.5281/zenodo.3485504
title: 0.1 ms of asymmetric GM1:POPC/POPC (2:98/100) bilayer

description: Lollipop-like GM1. Third 25 microseconds of total 100 microseconds.
DOI: 10.5281/zenodo.3485505
title: 0.1 ms of asymmetric GM1:POPC/POPC (2:98/100) bilayer

description: Lollipop-like GM1. First 25 microseconds of total 100 microseconds.
DOI: 10.7910/dvn/x0tczs/oinlbb
title: Cingolani-Fazekas_agencification_replication.do

description: Stata do file
DOI: 10.7910/dvn/x0tczs/qjuw60
title: Cingolani-Fazekas_agencification_replication.rar

description: Stata data file (compressed .rar)
DOI: 10.18169/papdeott008153
title: Kühlung für Kupplungseinheit
DOI: 10.21227/b4em-pq83
title: FI-GLOBAL competition

description: FIWARE Innovation Arena ideas submitted, including text and images
DOI: 10.21227/wych-g546
title: FI-GLOBAL competition

description: FIWARE Innovation Arena ideas submitted, including text and images
DOI: 10.5281/zenodo.3490548
title: Narrowing the Gap Between Urban and Rural Fields: Trust in E-government Services as A Tool to Develop Sustainable Government-citizen Relationship – The Case in Chongqing, China.

description: Data in research
DOI: 10.5281/zenodo.3490549
title: Narrowing the Gap Between Urban and Rural Fields: Trust in E-government Services as A Tool to Develop Sustainable Government-citizen Relationship – The Case in Chongqing, China.

description: Data in research
DOI: 10.5281/zenodo.3490613
title: Mammal trapping grid data for the SAFE Project

description: <b>Description: </b>This zipfile contains point grids used for mammal live trapping and camera trapping at the SAFE Project. There are 46 grids, each one consisting of a 4 by 12 grid of points, spread across blocks of old growth forest, logged forest and oil palm.<br><br>The grids were established by Ollie Wearn and processed by David Orme to convert the original GIS files to a single dataset using the UTM 50N projetion. Details of the geoprocessing can be found here: https://www.safeproject.net/dokuwiki/safe_gis/mammaltraps.<b>Project: </b>This dataset was collected as part of the following SAFE research project: <b>SAFE CORE DATA</b><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available here<b>Files: </b>This dataset consists of 2 files: SAFE_Mammal_traps_metadata.xlsx, SAFE_MammalTraps_UTM50N_WGS84.zip<b>SAFE_Mammal_traps_metadata.xlsx</b>This file only contains metadata for the files below<b>SAFE_MammalTraps_UTM50N_WGS84.zip</b>Description: Shapefile containing 2208 point locations of trapping grid points across SAFE locationsThis file contains 1 data tables:<b>Feature properties</b> (described in worksheet Properties)Description: Field descriptions for shapefile propertiesNumber of fields: 8Number of data rows: Unavailable (table metadata description only).Fields: <b>GPS_Ident</b>: Name of trap point in original GPS ident (Field type: location)<b>Altitude</b>: GPS Elevation of point (Field type: numeric)<b>Project</b>: Project name - all values are 'SAFE' (Field type: categorical)<b>Site</b>: SAFE Project main block identity for point (Field type: categorical)<b>Station</b>: Identical to GPS_Ident (Field type: location)<b>Location</b>: Specific location within main block (Field type: categorical)<b>Block</b>: Sub-block number or location within main site block (Field type: categorical)<b>Number</b>: Trap point number - each grid has 48 points (Field type: numeric)<b>Date range: </b>2010-10-01 to 2019-10-01<b>Latitudinal extent: </b>4.6348 to 4.7539<b>Longitudinal extent: </b>116.9471 to 117.6254
DOI: 10.5281/zenodo.3458791
title: Biologics repositioning: ml-SOM analysis raw results

description: <strong>Summary</strong> This dataset contains raw result files for multiple-layer SOM (ml-SOM) repositioning analysis of infliximab and brodalumab. <strong>Infliximab_results.zip</strong> archive contains the results of ml-SOM repositioning analysis of infliximab (T1) as a potential therapeutics for ulcerative colitis (D1), Crohn’s disease (D2), COPD (R1) and sarcoidosis (R2). Data is organized in the archive as follows: inflixmab_UC_CD_COPD_SARC021018_results+.RData - R data file that contains ml-SOM environment folder "inflixmab_UC_CD_COPD_SARC021018_results+ - Results" - comprises of various PDF and CSV files representing the a ml-SOM analysis results. It also contains the separate layer-level SOM analysis results for all datasets: folder "1" - SOM analysis of infliximab dataset folder "2" - SOM analysis for ulcerative colitis and Crohn's disease dataset folder "3" - SOM analysis for COPD dataset folder "4" - SOM analysis for sarcoidosis dataset. <strong>Brodalumab_results.zip</strong> archive contains the results of ml-SOM repositioning analysis of brodalumab (T1) as a potential therapeutics for psoriasis (D1), Crohn’s disease (R1), and systemic juvenile idiopathic arthritis (R2). Data is organized in the archive as follows: brodalumab_CD_SJIA_301218_results+.RData - R data file that contains ml-SOM environment folder "brodalumab_CD_SJIA_301218_results+ - Results" - comprises of various PDF and CSV files representing the a ml-SOM analysis results. It also contains the separate layer-level SOM analysis results for all datasets: folder "1" - SOM analysis of brodalumab and psoriasis dataset folder "2" - SOM analysis for Crohn's disease dataset folder "3" - SOM analysis for systemic juvenile idiopathic arthritis dataset For detailed instructions on browsing the results and their interpretation please refer to the oposSOM package manual [1], as well as original publications [2-4]. <strong>References</strong> Henry Loeffler-Wirth, Hoang Thanh Le and Martin KalcheroposSOM.Comprehensive analysis of transcriptome data. DOI: 10.18129/B9.bioc.oposSOM Löffler-Wirth H, Kalcher M, Binder H. oposSOM: R-package for high-dimensional portraying of genome-wide expression landscapes on bioconductor.Bioinformatics. 2015 Oct 1;31(19):3225-7. DOI: 10.1093/bioinformatics/btv342. Epub 2015 Jun 10. Wirth H, von Bergen M, Binder H. Mining SOM expression portraits: feature selection and integrating concepts of molecular function. BioData Min. 2012 Oct 8;5(1):18. DOI: 10.1186/1756-0381-5-18. Wirth H, Löffler M, von Bergen M, Binder H. Expression cartography of human tissues using self organizing maps. BMC Bioinformatics. 2011 Jul 27;12:306. DOI: 10.1186/1471-2105-12-306.
DOI: 10.5281/zenodo.3458792
title: Biologics repositioning: ml-SOM analysis raw results

description: <strong>Summary</strong> This dataset contains raw result files for multiple-layer SOM (ml-SOM) repositioning analysis of infliximab and brodalumab. <strong>Infliximab_results.zip</strong> archive contains the results of ml-SOM repositioning analysis of infliximab (T1) as a potential therapeutics for ulcerative colitis (D1), Crohn’s disease (D2), COPD (R1) and sarcoidosis (R2). Data is organized in the archive as follows: inflixmab_UC_CD_COPD_SARC021018_results+.RData - R data file that contains ml-SOM environment folder "inflixmab_UC_CD_COPD_SARC021018_results+ - Results" - comprises of various PDF and CSV files representing the a ml-SOM analysis results. It also contains the separate layer-level SOM analysis results for all datasets: folder "1" - SOM analysis of infliximab dataset folder "2" - SOM analysis for ulcerative colitis and Crohn's disease dataset folder "3" - SOM analysis for COPD dataset folder "4" - SOM analysis for sarcoidosis dataset. <strong>Brodalumab_results.zip</strong> archive contains the results of ml-SOM repositioning analysis of brodalumab (T1) as a potential therapeutics for psoriasis (D1), Crohn’s disease (R1), and systemic juvenile idiopathic arthritis (R2). Data is organized in the archive as follows: brodalumab_CD_SJIA_301218_results+.RData - R data file that contains ml-SOM environment folder "brodalumab_CD_SJIA_301218_results+ - Results" - comprises of various PDF and CSV files representing the a ml-SOM analysis results. It also contains the separate layer-level SOM analysis results for all datasets: folder "1" - SOM analysis of brodalumab and psoriasis dataset folder "2" - SOM analysis for Crohn's disease dataset folder "3" - SOM analysis for systemic juvenile idiopathic arthritis dataset For detailed instructions on browsing the results and their interpretation please refer to the oposSOM package manual [1], as well as original publications [2-4]. <strong>References</strong> Henry Loeffler-Wirth, Hoang Thanh Le and Martin KalcheroposSOM.Comprehensive analysis of transcriptome data. DOI: 10.18129/B9.bioc.oposSOM Löffler-Wirth H, Kalcher M, Binder H. oposSOM: R-package for high-dimensional portraying of genome-wide expression landscapes on bioconductor.Bioinformatics. 2015 Oct 1;31(19):3225-7. DOI: 10.1093/bioinformatics/btv342. Epub 2015 Jun 10. Wirth H, von Bergen M, Binder H. Mining SOM expression portraits: feature selection and integrating concepts of molecular function. BioData Min. 2012 Oct 8;5(1):18. DOI: 10.1186/1756-0381-5-18. Wirth H, Löffler M, von Bergen M, Binder H. Expression cartography of human tissues using self organizing maps. BMC Bioinformatics. 2011 Jul 27;12:306. DOI: 10.1186/1471-2105-12-306.
DOI: 10.5281/zenodo.3490381
title: Together stronger: intracolonial genetic variability occurrence in Pocillopora corals suggests potential benefits

description: We investigated the occurrence of intracolonial genetic variability (IGV) in <em>Pocillopora</em> corals in the Southwestern Indian Ocean. Ninety-six colonies were threefold-sampled from three sites in Reunion Island. Nubbins were genotyped using 13 microsatellite loci and their multilocus genotypes compared. Over 50% of the colonies presented at least two different genotypes among their three nubbins and IGV was found abundant in all sites (from 36.7 to 58.1%). To define the threshold distinguishing mosaicism from chimerism, we developed a new method based on different evolution models by computing the number of different alleles for the Infinite Allele Model (IAM) and the Bruvo’s distance for the Stepwise Mutation Model (SMM). Colonies were considered as chimeras if their nubbins differed from more than four alleles and if the pairwise Bruvo’s distance was higher than 0.12. Thus 80% of the IGV colonies were mosaics and 20% chimeras (representing almost 10% of the total sampling). IGV seems widespread in scleractinians and beyond the disabilities of this phenomenon reported in several studies, it should also bring benefits. Next steps are to identify these benefits and to understand processes leading to IGV, as well as factors influencing them. This dataset contains the 12 loci genotypes of the 288 nubbins.
DOI: 10.5281/zenodo.3490382
title: Together stronger: intracolonial genetic variability occurrence in Pocillopora corals suggests potential benefits

description: We investigated the occurrence of intracolonial genetic variability (IGV) in <em>Pocillopora</em> corals in the Southwestern Indian Ocean. Ninety-six colonies were threefold-sampled from three sites in Reunion Island. Nubbins were genotyped using 13 microsatellite loci and their multilocus genotypes compared. Over 50% of the colonies presented at least two different genotypes among their three nubbins and IGV was found abundant in all sites (from 36.7 to 58.1%). To define the threshold distinguishing mosaicism from chimerism, we developed a new method based on different evolution models by computing the number of different alleles for the Infinite Allele Model (IAM) and the Bruvo’s distance for the Stepwise Mutation Model (SMM). Colonies were considered as chimeras if their nubbins differed from more than four alleles and if the pairwise Bruvo’s distance was higher than 0.12. Thus 80% of the IGV colonies were mosaics and 20% chimeras (representing almost 10% of the total sampling). IGV seems widespread in scleractinians and beyond the disabilities of this phenomenon reported in several studies, it should also bring benefits. Next steps are to identify these benefits and to understand processes leading to IGV, as well as factors influencing them. This dataset contains the 12 loci genotypes of the 288 nubbins.
DOI: 10.7910/dvn/gyeg59/5nzosl
title: Sustainable_food_systems_global_index-1.tab

description: :unav
DOI: 10.18112/openneuro.ds001928.v1.1.0
title: Functional Connectivity of Music-Induced Analgesia in Fibromyalgia
DOI: 10.18154/rwth-2019-08406
title: Supplementary Material to "Guaranteed satisfaction of inequality state constraints in PDE-constrained optimization" - Tubular reactor model and steady-state optimization

description: Optimal control problems with inequality path constraints (IPCs) are present in several engineering problems described by partial differential equations (PDE). We propose an algorithm to solve PDE-constrained dynamic optimization problems with guaranteed satisfaction of IPCs. The algorithm is based on a solution of a sequence of approximated dynamic optimization problems following the strategy of Fu et al. (Automatica, 2015). For the approximation, the path constraint is imposed only on a set of discrete points and is thus relaxed. At the same time, it is restricted by an adaptive back-off and by the error bound of the PDE solution. The approximation is iteratively improved: at iterations without violation, the restriction is reduced; at iterations with violation, the point of maximal violation is added to the discrete set. Under mild assumptions, we prove finite termination of the algorithm. We test the algorithm on an optimal grade change of a tubular reactor.
DOI: 10.18154/rwth-2019-08413
title: Dataset to "Guaranteed satisfaction of inequality state constraints in PDE-constrained optimization"

description: Optimal control problems with inequality path constraints (IPCs) are present in several engineering problems described by partial differential equations (PDE). We propose an algorithm to solve PDE-constrained dynamic optimization problems with guaranteed satisfaction of IPCs. The algorithm is based on a solution of a sequence of approximated dynamic optimization problems following the strategy of Fu et al. (Automatica, 2015). For the approximation, the path constraint is imposed only on a set of discrete points and is thus relaxed. At the same time, it is restricted by an adaptive back-off and by the error bound of the PDE solution. The approximation is iteratively improved: at iterations without violation, the restriction is reduced; at iterations with violation, the point of maximal violation is added to the discrete set. Under mild assumptions, we prove finite termination of the algorithm. We test the algorithm on an optimal grade change of a tubular reactor.
DOI: 10.5281/zenodo.3490333
title: Benchmark for the evaluation of Named Entity Linking over ancient documents

description: <strong>Benchmark for the evaluation of Named Entity Linking over ancient documents</strong><br> Elvys Linhares Pontes, Ahmed Hamdi, Nicolas Sidere, and Antoine Doucet<br> University of Avignon: elvys.linhares-pontes@univ-avignon.fr; University of La Rochelle: {elvys.linhares_pontes,ahmed.hamdi,nicolas.sidere,antoine.doucet}@univ-lr.fr These are the supplementary materials for the ICADL 2019 paper <strong><em>Impact of OCR Quality on Named Entity Linking</em></strong>. If you end up using whole or parts of this resource, please use the following citation: Linhares Pontes, E., Hamdi, A., Sidere, N., and Doucet, A. (2019). Impact of OCR Quality on Named Entity Linking. In Proceedings of 21st International Conference on Asia-Pacific Digital Libraries ICADL 2019, Kuala Lumpur, Malaysia. or alternatively use the following `bib`: <pre><code>@inproceedings{linhares2019icadl, title="Impact of OCR Quality on Named Entity Linking.", author={Linhares Pontes, Elvys, and Hamdi, Ahmed, and Sidere, Nicolas, and Doucet, Antoine}, year={2019}, booktitle={Proceedings of 21st International Conference on Asia-Pacific Digital Libraries ICADL 2019} }</code></pre> <strong>Files</strong><br> This archive contains six folders -- one per dataset -- as well as this README. The folders contain the degraded images, the noisy texts extracted by the OCR and their aligned version with clean data. This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/). <strong>Acknowledgments</strong><br> This work has been supported by the European Union's Horizon 2020 research and innovation programme under grant 770299 [NewsEye](https://www.newseye.eu/).
DOI: 10.5281/zenodo.3490332
title: Benchmark for the evaluation of Named Entity Linking over ancient documents

description: <strong>Benchmark for the evaluation of Named Entity Linking over ancient documents</strong><br> Elvys Linhares Pontes, Ahmed Hamdi, Nicolas Sidere, and Antoine Doucet<br> University of Avignon: elvys.linhares-pontes@univ-avignon.fr; University of La Rochelle: {elvys.linhares_pontes,ahmed.hamdi,nicolas.sidere,antoine.doucet}@univ-lr.fr These are the supplementary materials for the ICADL 2019 paper <strong><em>Impact of OCR Quality on Named Entity Linking</em></strong>. If you end up using whole or parts of this resource, please use the following citation: Linhares Pontes, E., Hamdi, A., Sidere, N., and Doucet, A. (2019). Impact of OCR Quality on Named Entity Linking. In Proceedings of 21st International Conference on Asia-Pacific Digital Libraries ICADL 2019, Kuala Lumpur, Malaysia. or alternatively use the following `bib`: <pre><code>@inproceedings{linhares2019icadl, title="Impact of OCR Quality on Named Entity Linking.", author={Linhares Pontes, Elvys, and Hamdi, Ahmed, and Sidere, Nicolas, and Doucet, Antoine}, year={2019}, booktitle={Proceedings of 21st International Conference on Asia-Pacific Digital Libraries ICADL 2019} }</code></pre> <strong>Files</strong><br> This archive contains six folders -- one per dataset -- as well as this README. The folders contain the degraded images, the noisy texts extracted by the OCR and their aligned version with clean data. This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/). <strong>Acknowledgments</strong><br> This work has been supported by the European Union's Horizon 2020 research and innovation programme under grant 770299 [NewsEye](https://www.newseye.eu/).
DOI: 10.5281/zenodo.3490467
title: Statistics and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Field of Study"

description: Automated classification of metadata of research data by their discipline(s) of research can be used in scientometric research, by repository service providers, and in the context of research data aggregation services. Openly available metadata of the DataCite index for research data were used to compile a large training and evaluation set comprised of 609,524 records. This publication contains aggregated data for the paper. It also contains the evaluation data of all model/hyper-parameter training and test runs.
DOI: 10.5281/zenodo.3490468
title: Statistics and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research"

description: Automated classification of metadata of research data by their discipline(s) of research can be used in scientometric research, by repository service providers, and in the context of research data aggregation services. Openly available metadata of the DataCite index for research data were used to compile a large training and evaluation set comprised of 609,524 records. This publication contains aggregated data for the paper. It also contains the evaluation data of all model/hyper-parameter training and test runs.
DOI: 10.7910/dvn/stixxj/0kwjnr
title: mask_rcnn_R-50-FPN_1x_detectron_megane.pth

description: :unav
DOI: 10.7910/dvn/stixxj/hqhnjl
title: e2e_mask_rcnn_R_50_FPN_1x_caffe2_megane.yaml

description: :unav
DOI: 10.7910/dvn/stixxj/sextdh
title: README

description: :unav
DOI: 10.5281/zenodo.3490676
title: Dataset and scripts for "Sentiment Analysis over Collaborative Relationships in Open Source Software Projects"

description: Dataset and scripts for "Sentiment Analysis over Collaborative Relationships in Open Source Software Projects". README is included in the files