cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6641548
title: Retracing Cyanobacteria Blooms in the Baltic Sea

description: This repository is the data supplement to "Retracing Cyanobacteria Blooms in the Baltic Sea" by U. Löptien and H. Dietze 2022 in Nature Scientific Report doi:. The files named<strong> </strong><strong>backtrace_20**.mov </strong><strong> </strong>feature visualizations of of lagrangian particles that were randomly seeded within blooms (indicated by cyan crosses) and outside blooms (indicated by grey circles). The trajectories of these particels are backtraced using output of the general ocean circulation model MOMBA. The background color shading indicates surface mixed layer depth. The Matlab data files named<strong> trajectV03_8_20**.mat </strong> contain 2-D matrices DD (distance from coast), MD (surface mixed layer depth), SOLD (solar radiation), TD (temperature), XD (longitude), YD (latitude) with lines and columns corresponding to timesteps and lagrangian particles, respectively. Icy and Inocy are index vectors indicating which of the columns refer to blooming and "not blooming" particles, respectively. timY, timM, timH and timD refer to Year, Month, Day and Hour of respective lines of the 2-matrices, respectively. Don't hesitate to contact ulrike.loeptien@ifg.uni-kiel.de or heiner.dietze@ifg.uni-kiel.de in case of confusion.
DOI: 10.6084/m9.figshare.20101373.v1
title: Raw data from Irish R. padi VGSC sequencing 2020-2021 Alison George.txt

description: Sequence files of the voltage gated sodium channel of Irish <em>R. padi</em> colonies collected from 2020-2021.
DOI: 10.6084/m9.figshare.20101373
title: Raw data from Irish R. padi VGSC sequencing 2020-2021 Alison George.txt

description: Sequence files of the voltage gated sodium channel of Irish <em>R. padi</em> colonies collected from 2020-2021.
DOI: 10.34636/dmportal/2qjpex/x91u3j
title: BP_26_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/fn9k5i
title: BP_15_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/zilaaq
title: BP_2_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/tog7q4
title: BP_22_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/hei22n
title: 8_B_Perit._R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/ot1oft
title: 9_BP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/abpcbh
title: 10_BP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/jbhryo
title: 1_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/hhav6i
title: 9_BP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/e4yejo
title: BP_23_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/lckqi5
title: BP_15_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/0uelou
title: 13_BP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/eabpbx
title: BP_27_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/zvsazx
title: BP_25_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/ecxcts
title: BP_21_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/rlfawj
title: BP_25_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/gwljrj
title: 1_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/uac5ui
title: 8_B_Perit._R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/xjelwo
title: BP_28_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/uqjpbr
title: BP_21_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/xy2n6m
title: BP_3_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/8hupbm
title: BP_27_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/ypelt1
title: 12_BP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/fb0ruc
title: BP_23_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/ntbk8m
title: BP_2_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/op5pwz
title: 10_BP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/voy8r6
title: BP_3_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/qbmhzv
title: BP_29_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/r70kkr
title: BP_22_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/xfkmhs
title: BP_29_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/pekzze
title: 13_BP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/w5bzyc
title: BP_18_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/gzazho
title: 7_BP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/wy7tfl
title: 14_BP_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/exiaov
title: 12_BP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/asrl7a
title: 7_BP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/3kci42
title: 14_BP_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/rbzuk2
title: BP_28_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/wplzrh
title: BP_26_DP_R1.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/zxfkfx
title: BP_18_DP_R2.fastq.gz

description: :unav
DOI: 10.34636/dmportal/2qjpex/wxdp5y
title: metadata_assign2.tab

description: :unav
DOI: 10.34636/dmportal/2qjpex
title: Peritoneum microbiome

description: Information on human peritoneum microbiome.
DOI: 10.5517/ccdc.csd.cc1yvrm5
title: CCDC 1813178: Experimental Crystal Structure Determination

description: Related Article: Balaji Sundarraman, Ramesh Rengan, David Semeril|2022|Organometallics|41|1314|doi:10.1021/acs.organomet.2c00062
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21954/ou.rd.17206289
title: HTTP DoS Dataset in PCAP format for Wireshark

description: The dataset contains network events generated by benign nodes and malicious nodes with a focus on HTTP DoS attacks:The malicious nodes generate the following attacks:Slow ReadSlow PostSlow GetHULKGoldeneye<br>for more information contactandy.reed@open.ac.uk
DOI: 10.48420/19940642
title: Genetic instruments for Mendelian Randomization analyses of childhood and adult BMI

description: This file lists variants used as instrumental variables for the manuscript "Separating the effects of childhood and adult body size on inflammatory arthritis: a Mendelian randomisation study". <br> We selected independent (linkage disequilibrium threshold of r2&lt;0.001 using PLINK and a reference panel of 10,000 randomly selected Europeans from UK Biobank) genome-wide significant (p&lt;5x10-8) SNPs, resulting in 313 childhood and 580 adult body size instruments. For multivariable MR, we repeated LD clumping for the combined set of SNPs from both exposures.
DOI: 10.48420/19940642.v1
title: Genetic instruments for Mendelian Randomization analyses of childhood and adult BMI

description: This file lists variants used as instrumental variables for the manuscript "Separating the effects of childhood and adult body size on inflammatory arthritis: a Mendelian randomisation study". <br> We selected independent (linkage disequilibrium threshold of r2&lt;0.001 using PLINK and a reference panel of 10,000 randomly selected Europeans from UK Biobank) genome-wide significant (p&lt;5x10-8) SNPs, resulting in 313 childhood and 580 adult body size instruments. For multivariable MR, we repeated LD clumping for the combined set of SNPs from both exposures.
DOI: 10.6084/m9.figshare.20101391.v1
title: citrus data.csv

description: This is the data of research on "EFFECT OF FOLIAR APPLICATION OF ZINC, BORON AND COPPER ON PLANT GROWTH, FRUITING AND YIELD PARAMETERS OF ACID LIME (Citrus aurantifolia Swingle) AT RANITAR, NAWALPARASI EAST, NEPAL."
DOI: 10.17894/ucph.14a5084c-4618-4a8f-9a59-867654ec060b
title: IWOAI Drift-Shift Challenge

description: This is the repository containing segmentation masks for the teams contributing to the "Drift and Shift" follow-up to the 2019 IWOAI Knee Cartilage Segmentation Challenge. All six teams participating in the 2019 KCSC here submitted segmentations for a collection of knee MRI coming from the V00 and V01 visits in the Osteoarthritis Initiative (OAI). Two teams also submitted segmentations using updated versions of their methods from the 2019 challenge. All teams were blinded to subject and visit information. This resulted in the 10,064 segmentations that are available in this repository. From each segmentation, volumes for fives compartments can be extracted: medial and lateral tibial cartilages, medial and lateral femoral cartilages, and patellar cartilage. The jupyter notebook that extracts these volumes also includes a method for extracting the mask and volume for central, load-bearing sub-regions of the medial and lateral femoral cartilages. The extraction script is CollectSegmentationVolumes.ipynb. The volumes are saved in hpf5/matlab files directly by the script. In order to also save (selected) mask files, the script will need to be (easily) modified. The data in this repository can be freely used for research (not commercial) purposes. Please reference the following publication when doing so: Towards Automatic Cartilage Quantification in Clinical Trials – A Follow-up Challenge to the 2019 IWOAI Knee Segmentation Challenge Erik B Dam1*, Arjun D Desai2, Cem M Deniz3, Haresh R Rajamohan4, Ravinder Regatte3, Claudia Iriondo5, Valentina Pedoia5, Sharmila Majumdar5, Mathias Perslev1, Christian Igel1, Akshay Pai6, Sibaji Gaj7, Mingrui Yang7, Kunio Nakamura7, Xiaojuan Li7, Hasan Maqbool8, Ismail Irmakci9, Sang-Eun Song8, Ulas Bagci9, Brian Hargreaves2, Garry Gold2, Akshay Chaudhari2 1 University of Copenhagen, Copenhagen, Denmark 2 Stanford University, Stanford, CA USA 3 New York University, Langone Health, New York, NY USA 4 New York University, New York, NY USA 5 University of California, San Francisco, CA USA 6 Cerebriu A/S, Copenhagen, Denmark 7 Cleveland Clinic, Cleveland, OH USA 8 University of Central Florida, Orlando, FL USA 9 Northwestern University, Evanston, IL USA * Corresponding author: erikdam@di.ku.dk
DOI: 10.34740/kaggle/dsv/3834569
title: Chronic Fatigue Syndrome Scientific Literature
DOI: 10.48420/19614381
title: Significant Proteins

description: List of proteins found either significant (p&lt;0.05) or important using machine learning alorithm Boruta in each pairwise comparison.
DOI: 10.48420/19614381.v1
title: Significant Proteins

description: List of proteins found either significant (p&lt;0.05) or important using machine learning alorithm Boruta in each pairwise comparison.
DOI: 10.5281/zenodo.6669730
title: A dataset of archaeobotanical macroremains (staple crops) during the Neolithic and Bronze Ages in northern China

description: Dataset of archaeobotanical macroremains includes a total of 538 flotation results from 381 sites with millets excavated during the Neolithic and Bronze Ages in northern China. Two steps of screening have been applied to eliminate inapplicable sites. The dataset only consisted of staple crops according to traditional Chinese agriculture: foxtail millet (Setaria italica), broomcorn millet (<em>Panicum miliaceum</em>), rice (<em>Oryza sativa</em>), wheat and barley (<em>Triticum aestivum</em> and <em>Hordeum vulgare</em>), and soybean (<em>Glycine max</em>). Informations of absolute counts and weights of staple crops, percentage of counts and weights for each site together with their locations and ages were assembled.
DOI: 10.5281/zenodo.6410367
title: A dataset of archaeobotanical macroremains (staple crops) during the Neolithic and Bronze Ages in northern China

description: Dataset of archaeobotanical macroremains includes a total of 538 flotation results from 381 sites with millets excavated during the Neolithic and Bronze Ages in northern China. Two steps of screening have been applied to eliminate inapplicable sites. The dataset only consisted of staple crops according to traditional Chinese agriculture: foxtail millet (Setaria italica), broomcorn millet (<em>Panicum miliaceum</em>), rice (<em>Oryza sativa</em>), wheat and barley (<em>Triticum aestivum</em> and <em>Hordeum vulgare</em>), and soybean (<em>Glycine max</em>). Informations of absolute counts and weights of staple crops, percentage of counts and weights for each site together with their locations and ages were assembled.
DOI: 10.48420/19614366
title: HDMSe significant proteins

description: Proteins with adjusted p&lt;0.05 in 2 biological replicates and DAVID analysis.
DOI: 10.48420/19614366.v1
title: HDMSe significant proteins

description: Proteins with adjusted p&lt;0.05 in 2 biological replicates and DAVID analysis.
DOI: 10.5281/zenodo.6669801
title: XQuAD-ca

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } Professional translation into Catalan of XQuAD dataset (https://github.com/deepmind/xquad). XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi. Rumanian was added later. We added the 13th language to the corpus using also professional native catalan translators. XQuAD and XQuAD-Ca datasets are released under CC-by-sa licence.
DOI: 10.5281/zenodo.4526223
title: XQuAD-ca

description: If you use this resource in your work, please cite our latest paper: @inproceedings{armengol-estape-etal-2021-multilingual,<br> title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",<br> author = "Armengol-Estap{\'e}, Jordi and<br> Carrino, Casimiro Pio and<br> Rodriguez-Penagos, Carlos and<br> de Gibert Bonet, Ona and<br> Armentano-Oller, Carme and<br> Gonzalez-Agirre, Aitor and<br> Melero, Maite and<br> Villegas, Marta",<br> booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",<br> month = aug,<br> year = "2021",<br> address = "Online",<br> publisher = "Association for Computational Linguistics",<br> url = "https://aclanthology.org/2021.findings-acl.437",<br> doi = "10.18653/v1/2021.findings-acl.437",<br> pages = "4933--4946",<br> } Professional translation into Catalan of XQuAD dataset (https://github.com/deepmind/xquad). XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi. Rumanian was added later. We added the 13th language to the corpus using also professional native catalan translators. XQuAD and XQuAD-Ca datasets are released under CC-by-sa licence.
DOI: 10.6084/m9.figshare.20073119
title: Defects in C programs

description: These are datasets containing software defects in C programs paired with corresponding patches and metadata, collected from public GitHub repositories. <br> - GDD.7z contains 181722 general defects - MDD.7z contains 48076 memory-related defects <br> [Note about compliance] These datasets are to help researchers evaluate the ability of deep learning in software engineering. They are not intended for commercial use, as repositories may have their own license. Users of these datasets should check the license of each defect on GitHub to see what is permitted. We have included the repository name of each defect in the corresponding metadata file for your convenience.
DOI: 10.34740/kaggle/dsv/3834691
title: YouTube Daily
DOI: 10.6084/m9.figshare.19612078
title: Surface porosity development in tool-side facesheets of honeycomb core sandwich structures during co-cure

description: Co-cure of honeycomb core sandwich structures combines the consolidation of composite prepreg facesheets with bonding of facesheets to a low-density core in a single thermal cycle for efficient manufacturing. The coupling of multiple process phenomena and the complex geometry of honeycomb cores, however, can lead to defects in cured parts. Effects of co-cure on void formation at the tool-side facesheet surface remain unclear. We employ autoclave processing and an <i>in situ</i> visualization technique to elucidate physical mechanisms by which surface porosity forms, and the effects of pressure on this formation. Results displayed a multi-stage development, including evacuation of entrapped air, followed by evolution and subsequent entrapment of dissolved volatiles in the prepreg resin, and demonstrated the utility of elevated pressure in reducing porosity. These findings describe the physics underlying porosity formation at the tool-facesheet interface, and provide insight into potential mitigation strategies to produce sandwich panels with defect-free facesheet surfaces.
DOI: 10.6084/m9.figshare.19612078.v1
title: Surface porosity development in tool-side facesheets of honeycomb core sandwich structures during co-cure

description: Co-cure of honeycomb core sandwich structures combines the consolidation of composite prepreg facesheets with bonding of facesheets to a low-density core in a single thermal cycle for efficient manufacturing. The coupling of multiple process phenomena and the complex geometry of honeycomb cores, however, can lead to defects in cured parts. Effects of co-cure on void formation at the tool-side facesheet surface remain unclear. We employ autoclave processing and an <i>in situ</i> visualization technique to elucidate physical mechanisms by which surface porosity forms, and the effects of pressure on this formation. Results displayed a multi-stage development, including evacuation of entrapped air, followed by evolution and subsequent entrapment of dissolved volatiles in the prepreg resin, and demonstrated the utility of elevated pressure in reducing porosity. These findings describe the physics underlying porosity formation at the tool-facesheet interface, and provide insight into potential mitigation strategies to produce sandwich panels with defect-free facesheet surfaces.
DOI: 10.15468/ylk7wp
title: Global Register of Introduced and Invasive Species - Spain

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.6084/m9.figshare.20101664.v1
title: Diospyros-oleifera-main-genome.gz

description: <strong>A BioNano optical mapping-assisted chromosomal genome assembly of </strong><em><strong>Diospyros oleifera</strong></em>
DOI: 10.6084/m9.figshare.19697431.v1
title: Outdoor recreation alters terrestrial vertebrate scavenger assemblage and carrion removal in a protected Mediterranean wetland

description: This is the dataser of the paper entitled "Outdoor recreation alters terrestrial vertebrate scavenger assemblage and carrion removal in a protected Mediterranean wetland"
DOI: 10.6084/m9.figshare.19697431.v2
title: Outdoor recreation alters terrestrial vertebrate scavenger assemblage and carrion removal

description: This is the dataser of the paper entitled "Outdoor recreation alters terrestrial vertebrate scavenger assemblage and carrion removal in a protected Mediterranean wetland"
DOI: 10.6084/m9.figshare.20101664
title: A BioNano optical mapping-assisted chromosomal genome assembly of Diospyros oleifera

description: <strong>A BioNano optical mapping-assisted chromosomal genome assembly of </strong><em><strong>Diospyros oleifera</strong></em>
DOI: 10.6084/m9.figshare.20101664.v2
title: A BioNano optical mapping-assisted chromosomal genome assembly of Diospyros oleifera

description: <strong>A BioNano optical mapping-assisted chromosomal genome assembly of </strong><em><strong>Diospyros oleifera</strong></em>
DOI: 10.6084/m9.figshare.20101391
title: citrus data.csv

description: This is the data of research on "EFFECT OF FOLIAR APPLICATION OF ZINC, BORON AND COPPER ON PLANT GROWTH, FRUITING AND YIELD PARAMETERS OF ACID LIME (Citrus aurantifolia Swingle) AT RANITAR, NAWALPARASI EAST, NEPAL."
DOI: 10.6084/m9.figshare.20101391.v3
title: citrus data.csv

description: This is the data of research on "EFFECT OF FOLIAR APPLICATION OF ZINC, BORON AND COPPER ON PLANT GROWTH, FRUITING AND YIELD PARAMETERS OF ACID LIME (Citrus aurantifolia Swingle) AT RANITAR, NAWALPARASI EAST, NEPAL."
DOI: 10.6084/m9.figshare.20101391.v2
title: citrus data.csv

description: This is the data of research on "EFFECT OF FOLIAR APPLICATION OF ZINC, BORON AND COPPER ON PLANT GROWTH, FRUITING AND YIELD PARAMETERS OF ACID LIME (Citrus aurantifolia Swingle) AT RANITAR, NAWALPARASI EAST, NEPAL."