cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20526921.v1
title: Supplementary Material for: Idiopathic multifocal choroiditis and punctate inner choroidopathy: evaluation of risk factors for increased relapse rate. A 2-year prospective observational cohort study

description: Introduction The aim of this study is to describe the course of disease in patients with idiopathic multifocal choroiditis (MFC) and punctate inner choroidopathy (PIC) and to identify risk factors associated with an increased relapse rate of disease activity. Methods In this prospective observational cohort study, demographical and clinical data were collected concerning the relapses rate of disease activity, the conclusions of the multimodal imaging results, treatment, complications and self-reported quality of life. Disease activity was defined as new inflammatory lesions or active inflammation in pre-existing chorioretinal lesions either with or without active choroidal neovascularization (CNV). Linear regression analysis was performed to identify risk factors associated with an increased relapse rate. Results In total 122 eyes of 82 patients (93% females) were included with a median age (IQR) of 45 (37-54) years. A history of secondary CNV was present in 66% of the eyes. During follow-up the best-corrected visual acuity remained stable despite a median relapse rate (IQR) of 1.0 (0.25-3). Cycles of oral corticosteroids was given in 59% of the patients, 72% were treated at baseline or started treatment during follow-up with a disease-modifying antirheumatic drug (DMARD) and 35% with a biological agent in addition to the DMARD. Both a history of secondary CNV (B=1.2, 95% CI 0.7-1.7, P=3.6×10-5) and high myopia (&lt;-6 diopters) (B=0.6, 95% CI 0.1-1.1, P=0.02) independently increased the relapse rate of disease activity. Discussion/Conclusion A history of secondary CNV and high myopia were associated with an increased relapse rate of disease activity. Moreover, the results of this study emphasize the challenging character of treating patients with MFC/PIC.
DOI: 10.25440/smu.21261408
title: Data and source code for "Automating Intention Mining"

description: The dataset and source code for paper "Automating Intention Mining". <br> The code is based on dennybritz's implementation of Yoon Kim's paper Convolutional Neural Networks for Sentence Classification. <br> By default, the code uses Tensorflow 0.12. Some errors might be reported when using other versions of Tensorflow due to the incompatibility of some APIs. <br> Running 'online_prediction.py', you can input any sentence and check the classification result produced by a pre-trained CNN model. The model uses all sentences of the four Github projects as training data. <br> Running 'play.py', you can get the evaluation result of cross-project prediction. Please check the code for more details of the configuration. By default, it will use the four Github projects as training data to predict the sentences in DECA dataset, and in this setting, the category 'aspect evaluation' and 'others' are dropped since DECA dataset does not contain these two categories.
DOI: 10.25440/smu.21261408.v1
title: Data and source code for "Automating Intention Mining"

description: The dataset and source code for paper "Automating Intention Mining". <br> The code is based on dennybritz's implementation of Yoon Kim's paper Convolutional Neural Networks for Sentence Classification. <br> By default, the code uses Tensorflow 0.12. Some errors might be reported when using other versions of Tensorflow due to the incompatibility of some APIs. <br> Running 'online_prediction.py', you can input any sentence and check the classification result produced by a pre-trained CNN model. The model uses all sentences of the four Github projects as training data. <br> Running 'play.py', you can get the evaluation result of cross-project prediction. Please check the code for more details of the configuration. By default, it will use the four Github projects as training data to predict the sentences in DECA dataset, and in this setting, the category 'aspect evaluation' and 'others' are dropped since DECA dataset does not contain these two categories.
DOI: 10.6084/m9.figshare.21261396
title: Binning and Hybrid assembly of synthetic microbial communities

description: Shotgun metagenomic sequencing is a common approach for studying the taxonomic diversity and metabolic potential of complex microbial communities. Current methods primarily use second generation short read sequencing, yet advances in third generation long read technologies provide opportunities to overcome some of the limitations of short read sequencing. Here, we compared seven platforms, encompassing second generation sequencers (Illumina HiSeq300, MGI DNBSEQ-G400 and DNBSEQ-T7, ThermoFisher Ion GeneStudio S5 and Ion Proton P1) and third generation sequencers (Oxford Nanopore Technologies MinION R9 and Pacific Biosciences Sequel II). We constructed three uneven synthetic microbial communities composed of up to 87 genomic microbial strains DNAs per mock, spanning 29 bacterial and archaeal phyla, and representing the most complex and diverse synthetic communities used for sequencing technology comparisons. Our results demonstrate that third generation sequencing have advantages over second generation platforms in analyzing complex microbial communities, but require careful sequencing library preparation for optimal quantitative metagenomic analysis. Our sequencing data also provides a valuable resource for testing and benchmarking bioinformatics software for metagenomics.
DOI: 10.6084/m9.figshare.20445084
title: Ecological Niche Models

description: Ecological niche models with AquaMaps and MaxEnt modela of 1550 european seas species. Projections to 2050 and 2100 are included, under the RCP 2.6, 4.5, 8.5 scenarios.
DOI: 10.6084/m9.figshare.20445084.v2
title: Ecological Niche Models

description: Ecological niche models with AquaMaps and MaxEnt modela of 1550 european seas species. Projections to 2050 and 2100 are included, under the RCP 2.6, 4.5, 8.5 scenarios.
DOI: 10.6084/m9.figshare.20445084.v1
title: Ecological Niche Models

description: Ecological niche models with AquaMaps and MaxEnt modela of 1550 european seas species. Projections to 2050 and 2100 are included, under the RCP 2.6, 4.5, 8.5 scenarios.
DOI: 10.5281/zenodo.7137576
title: Simulations of 10Be production via CCM SOCOL-AERv2-BE (96 tracers for 10Be)

description: Here you can see global 10Be content (at/m^3) of different sources (see tab. 1 in paper) produced by GCR and SCR for the ground level. Here are two folders with the same structure:<br> 1) GCR<br> 2) SCR In thise folders 96 .txt files and 97 .xls files. In .txt files the first column is latitude and the first line is longitude. For each point values of 10Be content (at/m^3) in ground level. In .xls the same values, but grid for these values in an independent file called grid_size.xls. You can choose a format file which more comfortable for you.
DOI: 10.5281/zenodo.7137575
title: Simulations of 10Be production via CCM SOCOL-AERv2-BE (96 tracers for 10Be)

description: Here you can see global 10Be content (at/m^3) of different sources (see tab. 1 in paper) produced by GCR and SCR for the ground level. Here are two folders with the same structure:<br> 1) GCR<br> 2) SCR In thise folders 96 .txt files and 97 .xls files. In .txt files the first column is latitude and the first line is longitude. For each point values of 10Be content (at/m^3) in ground level. In .xls the same values, but grid for these values in an independent file called grid_size.xls. You can choose a format file which more comfortable for you.
DOI: 10.6084/m9.figshare.20044361.v1
title: Environmental Geophysical Marine Socioeconomic parameters at 0.1° and 0.5° resolutions

description: Environmental Geophysical Marine Socioeconomic parameters at 0.1° and 0.5° resolutions
DOI: 10.17034/04cc7ddf-ce69-49ae-9876-e5dfdcedb545
title: Dataset for "Zanzibar integrated school eye health delivery and vertical model: a non-randomised interventional comparative implementation study in Zanzibar

description: Few studies on school eye health programmes have shown they were cost-effective. In this study, we compared the performance (reach, effectiveness, adoption rate, implementation and maintenance or RE-AIM) between an integrated model (IM) and a vertical model (VM) of school eye health delivery in Zanzibar. The set of RE-AIM performance indicators of the IM (n=9) and VM (n=10) cohorts was compared. Semi-structured interviews were conducted with 36 stakeholders to understand the challenges and outcomes experienced when implementing both models.
DOI: 10.6084/m9.figshare.14496207
title: Pheromonal effects of three chemicals on larvae of two blow fly species

description: This dataset gives values of time spent and average speed of Lucilia sericata and Calliphora vomitoria larvae in areas comprising or not one of the following chemical compounds: decanoic acid, pentadecanoic acid and (Z)-9-tricosene. Details can be found in "Semiochemical exploration of necrophagous blow fly larvae" by the same authors.
DOI: 10.6084/m9.figshare.14496207.v1
title: Pheromonal effects of three chemicals on larvae of two blow fly species

description: This dataset gives values of time spent and average speed of Lucilia sericata and Calliphora vomitoria larvae in areas comprising or not one of the following chemical compounds: decanoic acid, pentadecanoic acid and (Z)-9-tricosene. Details can be found in "Semiochemical exploration of necrophagous blow fly larvae" by the same authors.
DOI: 10.6084/m9.figshare.14102129
title: Datasets for genomic prediction for provitamin A carotenoids and associated traits in Uganda's cassava breeding program

description: Raw phenotypic and genotypic data for genomic prediction in provitamin A cassava breeding population.
DOI: 10.6084/m9.figshare.14102129.v1
title: Datasets for genomic prediction for provitamin A carotenoids and associated traits in Uganda's cassava breeding program

description: Raw phenotypic and genotypic data for genomic prediction in provitamin A cassava breeding population.
DOI: 10.6084/m9.figshare.21213605
title: Datasets for validation of KASP Markers for cassava mosaic disease, dry matter and provitamin A carotenoid content in Ugandan cassava germplasm

description: Raw datasets for marker validation esperiment
DOI: 10.6084/m9.figshare.21213605.v2
title: Datasets for validation of KASP Markers for cassava mosaic disease, dry matter and provitamin A carotenoid content in Ugandan cassava germplasm

description: Raw datasets for marker validation esperiment
DOI: 10.6084/m9.figshare.21213605.v1
title: Validation of KASP Markers for cassava mosaic disease, dry matter and provitamin A carotenoid content in Ugandan cassava germplasm

description: Raw datasets for marker validation esperiment
DOI: 10.34740/kaggle/dsv/4277253
title: AutoXGB
DOI: 10.5281/zenodo.7137398
title: CNN for Modeling Sanskrit Originated Bengali and Hindi Language Dataset

description: Though recent works have focused on modeling high resource languages, the area is still unexplored for low resource languages like Bengali and Hindi. We propose an end-to-end trainable memory efficient CNN architecture named CoCNN to handle specific characteristics such as high inflection, morphological richness, flexible word order and phonetical spelling errors of Bengali and Hindi. In particular, we introduce two learnable convolutional sub-models at word and at sentence level that are end-to-end trainable. We show that state-of-the-art (SOTA) Transformer models including pretrained BERT do not necessarily yield the best performance for Bengali and Hindi. CoCNN outperforms pretrained BERT with 16X less parameters and achieves much better performance than SOTA LSTMs on multiple real-world datasets. This is the first study on the effectiveness of different architectures from Convolution, Recurrent, and Transformer neural net paradigm for modeling Bengali and Hindi.
DOI: 10.5281/zenodo.7137397
title: CNN for Modeling Sanskrit Originated Bengali and Hindi Language Dataset

description: Though recent works have focused on modeling high resource languages, the area is still unexplored for low resource languages like Bengali and Hindi. We propose an end-to-end trainable memory efficient CNN architecture named CoCNN to handle specific characteristics such as high inflection, morphological richness, flexible word order and phonetical spelling errors of Bengali and Hindi. In particular, we introduce two learnable convolutional sub-models at word and at sentence level that are end-to-end trainable. We show that state-of-the-art (SOTA) Transformer models including pretrained BERT do not necessarily yield the best performance for Bengali and Hindi. CoCNN outperforms pretrained BERT with 16X less parameters and achieves much better performance than SOTA LSTMs on multiple real-world datasets. This is the first study on the effectiveness of different architectures from Convolution, Recurrent, and Transformer neural net paradigm for modeling Bengali and Hindi.
DOI: 10.4121/uuid:b64a34b7-74d9-483d-a024-b6a003923ca2
title: Data accompanying the article: "Analytical model captures intratidal variation in salinity in a convergent, well-mixed estuary"

description: Salinity data of the Humen Estuary, Guangdong, China Survey data courtesy of the Guangdong Province Hydrology Bureau and the Pearl Hydrology Bureau from the River Conservancy Commission.
DOI: 10.5281/zenodo.6334768
title: COLONOMICS - predictive models for normal colon gene expression and DNA methylation for TWAS and MWAS

description: We provide significant SNP prediction models derived from the COLONOMICS data (https://www.colonomics.org). Genotypes were obtained by Affymetrix 6.0 array, imputed to TopMed panel. Gene expression was obtained from Affymetrix U219 array, DNA methylation was obtained with Illuminan 450K array and miRNA expression was obtained by NGS. We provide SNP prediction models for 1,758 genes, 30,530 CpG probes and 38 miRNAs obtained from colon normal biopsy samples. These features can be predicted from SNPs located within ±1Mb, which we assumed they act through cis mechanisms. We include the model’s summary statistics and corresponding SNP weights in SQLite objects. Models were trained using the elastic net procedure employed in the PredictDB pipeline (https://predictdb.org), according to which only models with a predictive performance p-value &lt; 0.05 and R<sup>2</sup> &gt; 0.1 are considered significant. We adjusted the models by basic covariates, i.e., sex, age, tissue type and colon anatomic location where biopsies were collected (left and right colon). Genome coordinates refer to GRCh37/hg19.
DOI: 10.5439/1562451
title: GOAmazon Thermal Desorption Chemical Ionization Mass Spectrometer

description: Ion abundance measured by Thermal Desorption Chemical Ionization Mass Spectrometer (using quadrupole mass spectrometer) Data file format: Column 1: date and time (UTC) Column 2: measurement uncertainty (units: integrated ion counts) Column 3: ion intensity (units: integrated ion counts) Column 4: 1 min SO2 mixing ratio in ppb Measurement uncertainty is +/- 0.2 ppb.
DOI: 10.21227/h2xw8q
title: Beijing taxi  trip data_sample
DOI: 10.5281/zenodo.891273
title: Maltparser Model For Korean: Sejong Treebank

description: MaltParser model for Korean:  Sejong treebank

Jungyeul Park, Jeen-Pyo Hong, and Jeong-Won Cha (2016). Korean Language Resources for Everyone. In Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30). Seoul, Korea. [pdf]

@inproceedings{park-hong-cha:2016:PACLIC, <br>
address = {Seoul, Korea}, <br>
author = {Park, Jungyeul and Hong, Jeen-Pyo and Cha, Jeong-Won}, <br>
booktitle = {Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30)}, <br>
pages = {49--58}, <br>
title = {{Korean Language Resources for Everyone}}, <br>
year = {2016} <br>
}

It requires Espresso's POS tagging results for input. Espresso is available at https://zenodo.org/record/884606
DOI: 10.5281/zenodo.891295
title: Jhe Korean-English Evaluation Data

description: Junior High English evaluation data for Korean-English machine translation (JHE).

Jungyeul Park, Jeen-Pyo Hong, and Jeong-Won Cha (2016). Korean Language Resources for Everyone. In Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30). Seoul, Korea. [pdf]

@inproceedings{park-hong-cha:2016:PACLIC, <br>
address = {Seoul, Korea}, <br>
author = {Park, Jungyeul and Hong, Jeen-Pyo and Cha, Jeong-Won}, <br>
booktitle = {Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30)}, <br>
pages = {49--58}, <br>
title = {{Korean Language Resources for Everyone}}, <br>
year = {2016} <br>
}
DOI: 10.25810/8pdq-g234
title: Playing with Fire: Assessing the effects of risk interdependency, social norms, and costs on homeowners’ wildfire mitigation decisions using choice experiments
DOI: 10.5281/zenodo.3406096
title: P-wave arrival data of Ilan Texan Array

description: The file contains P-wave arrival data used to invert for the P-wave velocity model of NE Taiwan which is presented in: High-Resolution 3D P-wave Velocity Structures under NE Taiwan and their Tectonic Implications Po-Li Su, Po-Fei Chen, Chien-Ying Wang
DOI: 10.5281/zenodo.4068485
title: Basic Considerations for the Observability of Kinematically Offset Binary AGN

description: KDE resampled massive black-hole (MBH) binary population used for the analysis in Kelley 2020, <em>Considerations for the Observability of Kinematically Offset Binary AGN</em> (2005.10255). We start with a population of MBH binaries derived from the Illustris cosmological simulations, and evolved using semi-analytic post-processing models. These methods are described in Kelley et al. 2016 (1606.01900) and Kelley et al. 2017a,b (1702.02180 and 1711.00075). We then use the kernel density estimation (KDE) technique to resample this population from the Illustris volume, into a sample of binaries from a full, simulated light-cone of observations. The binaries are resampled in bins of observed orbital period. The number of resampled binaries in a given period bin are restricted to 500,000. When this occurs, the 'weight' of those binaries is assigned a value greater than one, while the 'weight' of binaries in unrestricted period bins is set to unity. For example, if the 'true' number of binaries in a bin should have been 1e6, the number of samples would be restricted to 5e5, and the weight of each of those binaries would be set to 2.0. If the number of binaries in a bin were instead 2e5, which is less than the limit, then each of those binaries is given a weight of 1.0. Only a single realization of this sample is included, but additional realizations can be produced if needed and on request. The data are presented in hdf5 format and contain the following arrays: <pre><code># Meta-Data `periods`: shape: (201,) units: seconds descr: the edges of the bins in observed orbital period from which the population was sampled. `counts`: shape: (200,) units: None descr: The number of binaries produced in each period bin. This number for each bin is capped at 500,000. The sum of these values equals the total number of samples (70622013). # Data In this particular realization of data, the number of sampled binaries is `S = 70622013`. `mtot`: shape: (S,) units: grams descr: the total mass of each binary (`M = M1 + M2`). `mrat`: shape: (S,) units: None descr: The mass ratio of each binary, `q = M2/M1 &lt;= 1.0`, where M2 is the mass of the secondary (lower mass) component. `pobs`: shape: (S,) units: seconds descr: The orbital period of each binary in the observer's rest frame (at redshift, `z = 0`). `redz`: shape: (S,) units: None descr: The redshift of each binary. `weights`: shape: (S,) units: None descr: The number of 'true' binaries (i.e. the number that are expected to occur in this realization of an observed universe) represented by this individual 'sample', and having similar binary parameters.</code></pre>
description: The KDE resampling was performed using the `kalepy` python package, available on github at https://github.com/lzkelley/kalepy, and installable with `pip install kalepy`.
DOI: 10.5281/zenodo.891267
title: Berkeley Parser Model For Korean:  Sejong Treebank

description: <strong>Berkeley parser model for Korean:  Sejong treebank</strong>

Jungyeul Park, Jeen-Pyo Hong, and Jeong-Won Cha (2016). Korean Language Resources for Everyone. In Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30). Seoul, Korea. [pdf]

@inproceedings{park-hong-cha:2016:PACLIC, <br>
address = {Seoul, Korea}, <br>
author = {Park, Jungyeul and Hong, Jeen-Pyo and Cha, Jeong-Won}, <br>
booktitle = {Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation (PACLIC 30)}, <br>
pages = {49--58}, <br>
title = {{Korean Language Resources for Everyone}}, <br>
year = {2016} <br>
}

It requires Espresso's POS tagging results for input. Espresso is available at https://zenodo.org/record/884606
DOI: 10.5285/5091283a-fc9f-4057-9d24-e7a2aa0e362f
title: Stable oxygen and carbon isotopes of benthic foraminifera from IODP Site U1534

description: Dataset is comprised of stable isotopes (oxygen and carbon) of benthic foraminifera from sediments from International Ocean Discovery Program (IODP) Expedition 382, Site U1534, South Falkland Sediment Drift. 53.18967 S, 58.76083 W (605 m water depth). The sediment cores were collected from 3 holes using the advanced piston corer onboard RV Joides Resolution from site U1534 between 29/03/2019 and 02/04/2019. Suitable specimens of benthic foraminifera were identified and picked from the &gt;250 micron size fraction sediment at BAS between March 2020 and May 2021. Isotope analysis was carried out between March-August 2021. The data were collected as part of a project aiming to investigate the sensitivity of the Atlantic Meridional Overturning Circulation to variability in Pacific-Atlantic connectivity via the 'cold water route'. Dr Victoria Louise Peck was the principle investigator for this project. Funding provided by NERC UKIODP moratorium grant NE/T010908/1 and analytical support from NEIF steering committee application IP-1950-119.
description: Wherever present, specimens of Uvigerina bifurcata were picked from samples at 10 cm intervals. During warmer periods when U. bifurcata was not present, Melonis affinis and/or Hoeglundina elegans were analysed. The number of specimens per analysis is indicated, typically 4. Depth is composite core depth (below sea floor) based on splicing of ship-board physical properties from 3 adjacent holes within 20 m of each other. Splice information is available at the LIMS Online Report Portal (https://web.iodp.tamu.edu/OVERVIEW/) Isotopic analysis was performed on the GV IsoPrime mass spectrometer at NERC National Environmental Isotope Facility, BGS, Keyworth. Isotopic ratios are calibrated to the Vienna-PDB standard and 1-sigma standard deviation for delta13C and delta18O is 0.03 and 0.05 per mil respectively.
DOI: 10.5683/sp/al8z6r
title: The State of Social Media in Canada 2017

description: This report provides a snapshot of the social media usage trends among online Canadians adults in 2017.
DOI: 10.6084/m9.figshare.9759308.v4
title: An Experimental Study to Evaluate e-VOL BPMN Technique: The Material used in the Experimental Study

description: The e-VOL BPMN is a technique that supports the evolution of BPMN diagrams and on learning BPMN notation. In order to evaluate e-VOL BPMN, we conducted an experimental study. In this study, we compared the e-VOL BPMN to the BPMN 2.0 Poster, which is the support artifact commonly adopted in companies to support BPMN notation. This technical report presents the material used in this study. Thus, other researchers may replicate it, providing outcomes in different contexts.