cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/adu3fp
title: Clytus rhamni (Germar, 1817), C-845

description: Coleoptera collection
DOI: 10.15161/oar.it/75543
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated..
DOI: 10.5281/zenodo.6463040
title: HIPE-2022 Shared Task Named Entity Datasets

description: HIPE-2022 datasets used for the HIPE 2022 shared task on <strong>named entity recognition and classification (NERC) and entity linking (EL) in multilingual historical documents</strong>. HIPE-2022 datasets are based on six primary datasets assembled and prepared for the shared task. Primary datasets are composed of historical newspapers and classic commentaries covering ca. 200 years, feature several languages and different entity tag sets and annotation schemes. They originate from several European cultural heritage projects, from HIPE organizers’ previous research project, and from the previous HIPE-2020 campaign. Some are already published, others are released for the first time for HIPE-2022. The HIPE-2022 shared task assembles and prepares these primary datasets in HIPE-2022 release(s), which correspond to a single package composed of neatly structured and homogeneously formatted files. Primary datasets undergo the following preparation steps: conversion to the HIPE format (with correction of data inconsistencies and metadata consolidation); rearrangement or composition of train and dev splits. Please also refer to: HIPE-2022 shared task website: https://hipe-eval.github.io/HIPE-2022/ HIPE-2022 data repository: https://github.com/hipe-eval/HIPE-2022-data Here is an overview of the primary datasets: <strong>Dataset alias</strong> <strong>Readme</strong> <strong>Document type</strong> <strong>Languages</strong> <strong>Suitable for</strong> <strong>Project</strong> hipe2020 link historical newspapers de, fr, en NERC-Coarse, NERC-Fine, EL CLEF-HIPE-2020 newseye link historical newspapers de, fi, fr, sv NERC-Coarse, NERC-Fine, EL NewsEye sonar link historical newspapers de NERC-Coarse, EL SoNAR letemps link historical newspapers fr NERC-Coarse, NERC-Fine LeTemps topres19th link historical newspapers en NERC-Coarse, EL Living with Machines ajmc link classical commentaries de, fr, en NERC-Coarse, NERC-Fine, EL AjMC The HIPE-2022 team expresses her greatest appreciation to the partnering projects, namely AJMC, <em>impresso, </em>HIPE-2020, <em>Living with Machines</em>, <em>NewsEye</em>, and <em>SoNAR</em>, for contributing their NE-annotated datasets (and hiding a part thereof for the time of the evaluation campaign).
description: New releases are planned. Check the HIPE-2022 website for updates.
DOI: 10.48370/ofd/rn1pq3
title: Clytus schneideri (Kiesenwetter, 1879), C-846

description: Coleoptera collection
DOI: 10.48370/ofd/zukjam/w4fft6
title: MRIPAS_coll_73281_exp_12518_MicrotusAgrestis_1967_scan.jpg

description: :unav
DOI: 10.48370/ofd/zukjam/cbbo0n
title: mripas_coll_73281_microtusagrestis_1967_m_skull_scan_3D.stl

description: skull
DOI: 10.48370/ofd/zukjam/zchjo8
title: mripas_coll_73281_microtusagrestis_1967_m_jaw_scan_3D.stl

description: jaw
DOI: 10.48370/ofd/zukjam/7wqo0v
title: MRIPAS_coll_73281_Microtus_agrestis_1967_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/zukjam
title: Microtus agrestis - 73281, Zoological collection of the Mammal Research Institute, PAS

description: Microtus agrestis (Field vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1967-07-14, in: Biebrza National Park, Grzędy, Poland. Material type: skull, jaw
DOI: 10.48370/ofd/cw4wxh
title: Clytus schurmanni (Sama, 1996), C-847

description: Coleoptera collection
DOI: 10.5281/zenodo.5875911
title: Millstätter See seismic and core data for the publication "High-resolution calibration of seismically-induced lacustrine deposits with historical earthquake data in the Eastern Alps (Carinthia, Austria)"

description: This dataset comprises the core data and the 3.5 kHz seismic data of Millstätter See, a lake in the Eastern European Alps, Austria. Together with a bathymetric dataset (10.5281/zenodo.5875923) and a core/seismic dataset from Wörthersee (10.5281/zenodo.5875576), this is the basis for the publication Daxer et al. "High-resolution calibration of seismically-induced lacustrine deposits with historical earthquake data in the Eastern Alps (Carinthia, Austria)". 28 core sections (individual short cores or sections of long cores - see <em>MillstaetterSee_core_data.xlsx</em> for information) were analysed with a multi-sensor core logger (MSCL) and photographed with a smartcube camera image scanner and an ITRAX core scanner. The generated data are available in the folders <em>MSCL.zip</em> and <em>Photos.zip</em>. Some core sections were also analysed with a Malvern Mastersizer 3000 and/or CT scanning. The generated data are provided in the folders <em>Grain Size.zip </em>and<em> MI17-04_CT_Data.zip </em>(as .dcm files). The seismic profiles are provided as .SGY files (<em>Seismic Pinger Data.zip</em>).
DOI: 10.48370/ofd/arrll1/qdvoxz
title: MRIPAS_coll_73089_exp_12326_MicrotusAgrestis_1967_scan.jpg

description: :unav
DOI: 10.48370/ofd/arrll1/sqmmq5
title: MRIPAS_coll_73089_MicrotusAgrestis_1967_M_skull_jaw_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/arrll1
title: Microtus agrestis - 73089, Zoological collection of the Mammal Research Institute, PAS

description: Microtus agrestis (Field vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1967-07-07, in: Biebrza National Park, Grzędy, Poland. Material type: skull, jaw
DOI: 10.48579/pro/sgemae/7xjceg
title: Read me_Collection number rhyncholites_3D surface.pdf

description: :unav
DOI: 10.48579/pro/sgemae/bz69xi
title: SU.PAL.2017.0.2.361.5.ply

description: :unav
DOI: 10.48579/pro/sgemae/speihh
title: UBGD.294186.ply

description: :unav
DOI: 10.48579/pro/sgemae/tabysy
title: UJF-ID.16004.ply

description: :unav
DOI: 10.6084/m9.figshare.24949284
title: Erwinia genomes Antismash results

description: antiSMASH v7.0 was utilized for the identification of secondary metabolites in the annotated genomes of Erwinia strains. This dataset includes HTML output files for each genome assessed.
DOI: 10.6084/m9.figshare.24949284.v1
title: Erwinia genomes Antismash results

description: antiSMASH v7.0 was utilized for the identification of secondary metabolites in the annotated genomes of Erwinia strains. This dataset includes HTML output files for each genome assessed.
DOI: 10.6084/m9.figshare.24198210
title: Erwinia plant gene comparative analysis

description: To gain a better understanding of the ecological impact of Erwimp, common plant-related genes were compiled and searched for using PathwayTools v26.5. This dataset demonstrates presence/absence matrices for these pathways.
DOI: 10.6084/m9.figshare.24198210.v1
title: Erwinia plant gene comparative analysis

description: To gain a better understanding of the ecological impact of Erwimp, common plant-related genes were compiled and searched for using PathwayTools v26.5. This dataset demonstrates presence/absence matrices for these pathways.
DOI: 10.6084/m9.figshare.24949348
title: A Bayesian Collocation Integral Method for Parameter Estimation in Ordinary Differential Equations

description: Abstract–<b>Inferring the parameters of ordinary differential equations (ODEs) from noisy observations is an important problem in many scientific fields. Currently, most parameter estimation methods that bypass numerical integration tend to rely on basis functions or Gaussian processes to approximate the ODE solution and its derivatives. Due to the sensitivity of the ODE solution to its derivatives, these methods can be hindered by estimation error, especially when only sparse time-course observations are available. We present a Bayesian collocation framework that operates on the integrated form of the ODEs and also avoids the expensive use of numerical solvers. Our methodology has the capability to handle general nonlinear ODE systems. We demonstrate the accuracy of the proposed method through simulation studies, where the estimated parameters and recovered system trajectories are compared with other recent methods. A real data example is also provided.</b>
DOI: 10.6084/m9.figshare.24949348.v1
title: A Bayesian Collocation Integral Method for Parameter Estimation in Ordinary Differential Equations

description: Abstract–<b>Inferring the parameters of ordinary differential equations (ODEs) from noisy observations is an important problem in many scientific fields. Currently, most parameter estimation methods that bypass numerical integration tend to rely on basis functions or Gaussian processes to approximate the ODE solution and its derivatives. Due to the sensitivity of the ODE solution to its derivatives, these methods can be hindered by estimation error, especially when only sparse time-course observations are available. We present a Bayesian collocation framework that operates on the integrated form of the ODEs and also avoids the expensive use of numerical solvers. Our methodology has the capability to handle general nonlinear ODE systems. We demonstrate the accuracy of the proposed method through simulation studies, where the estimated parameters and recovered system trajectories are compared with other recent methods. A real data example is also provided.</b>
DOI: 10.5281/zenodo.10462803
title: Raw data and scripts from de Lima et al. Phenotypic plasticity rather than local adaptation explains the broad realized niche of a Neotropical orchid species

description: This dataset contatins the raw data from the article:

Phenotypic plasticity rather than local adaptation explains the broad realized niche of a Neotropical orchid species

Apart from the raw data, this folder also contains the scripts used in data processing and data analysis.All files in the folder are mentioned in this readme and described. Details on data collection are to be found inthe original publication.

See the readme file for more details
DOI: 10.5281/zenodo.10462804
title: Raw data and scripts from de Lima et al. Phenotypic plasticity rather than local adaptation explains the broad realized niche of a Neotropical orchid species

description: This dataset contatins the raw data from the article:

Phenotypic plasticity rather than local adaptation explains the broad realized niche of a Neotropical orchid species

Apart from the raw data, this folder also contains the scripts used in data processing and data analysis.All files in the folder are mentioned in this readme and described. Details on data collection are to be found inthe original publication.

See the readme file for more details
DOI: 10.18112/openneuro.ds004907.v1.0.2
title: RestHoldMove
DOI: 10.5281/zenodo.10462978
title: Friction coefficient of cartilage under different conditions

description: In this study, we carried out a fixed-load scratch experiment to compare the friction and wear of articular cartilage under the lubrication of gouty arthritis arthritic fluid and normal human arthritic fluid
DOI: 10.5281/zenodo.10462979
title: Friction coefficient of cartilage under different conditions

description: In this study, we carried out a fixed-load scratch experiment to compare the friction and wear of articular cartilage under the lubrication of gouty arthritis arthritic fluid and normal human arthritic fluid
DOI: 10.18112/openneuro.ds004907.v1.1.0
title: RestHoldMove
DOI: 10.34740/kaggle/dsv/7345204
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.5281/zenodo.1321084
title: Community-Based Event Detection in Temporal Networks

description: This dataset contains daily tweets ids during April 2013. This is provided to facilitate reproducibility of results presented in the following paper:

Pablo Moriano, Jorge Finke, and Yong-Yeol Ahn. "Community-Based Event Detection in Temporal Networks." Scientific Reports 9, 4358, 2019. DOI: https://doi.org/10.1038/s41598-019-40137-0

These data are provided for non-commercial purposes only. If you use this dataset for research, please be sure to cite the above paper.
description: P.M. was supported by Cisco Research under grant #591000. J.F. was supported in part by the Center of Excellence and Appropriation in Big Data and Data Analytics (CAOBA) and the Colombian Administrative Department of Science, Technology and Innovation (COLCIENCIAS) under grant number FP44842. Y.-Y.A. is supported by the Defense Advanced Research Projects Agency (DARPA), contract W911NF-17-C-0094. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Cisco, COLCIENCIAS, DARPA or the U.S. Government.
DOI: 10.5281/zenodo.1321085
title: Community-Based Event Detection in Temporal Networks

description: This dataset contains daily tweets ids during April 2013. This is provided to facilitate reproducibility of results presented in the following paper:

Pablo Moriano, Jorge Finke, and Yong-Yeol Ahn. "Community-Based Event Detection in Temporal Networks." Scientific Reports 9, 4358, 2019. DOI: https://doi.org/10.1038/s41598-019-40137-0

These data are provided for non-commercial purposes only. If you use this dataset for research, please be sure to cite the above paper.
description: P.M. was supported by Cisco Research under grant #591000. J.F. was supported in part by the Center of Excellence and Appropriation in Big Data and Data Analytics (CAOBA) and the Colombian Administrative Department of Science, Technology and Innovation (COLCIENCIAS) under grant number FP44842. Y.-Y.A. is supported by the Defense Advanced Research Projects Agency (DARPA), contract W911NF-17-C-0094. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Cisco, COLCIENCIAS, DARPA or the U.S. Government.
DOI: 10.6084/m9.figshare.24893877
title: R-00266-2023 Supplemental Tables 1-4 12.22.23.pdf

description: R-00266-2023 Supplemental Tables 1-4 12.22.23
DOI: 10.6084/m9.figshare.24893877.v1
title: R-00266-2023 Supplemental Tables 1-4 12.22.23.pdf

description: R-00266-2023 Supplemental Tables 1-4 12.22.23
DOI: 10.18112/openneuro.ds002685.v1.4.0
title: IBC
DOI: 10.5281/zenodo.3667718
title: Using Bursty Announcements for Detecting BGP Routing Anomalies

description: This dataset contains all the require data to reproduce the Indonesia incident. This is provided to facilitate reproducibility of results presented in the following paper:

Pablo Moriano, Raquel Hill, and L. Jean Camp. "Using bursty announcements for detecting BGP routing anomalies." vol. 188, 107835, 2021. DOI: https://doi.org/10.1016/j.comnet.2021.107835

These data are provided for non-commercial purposes only. If you use this dataset for research, please be sure to cite the above paper.
description: This research has been supported in part by internal organizational funds at Oak Ridge National Laboratory 3X012DCS, NSF CNS 1565375, and Cisco Research 591000.
DOI: 10.5281/zenodo.3667719
title: Using Bursty Announcements for Detecting BGP Routing Anomalies

description: This dataset contains all the require data to reproduce the Indonesia incident. This is provided to facilitate reproducibility of results presented in the following paper:

Pablo Moriano, Raquel Hill, and L. Jean Camp. "Using bursty announcements for detecting BGP routing anomalies." vol. 188, 107835, 2021. DOI: https://doi.org/10.1016/j.comnet.2021.107835

These data are provided for non-commercial purposes only. If you use this dataset for research, please be sure to cite the above paper.
description: This research has been supported in part by internal organizational funds at Oak Ridge National Laboratory 3X012DCS, NSF CNS 1565375, and Cisco Research 591000.
DOI: 10.5281/zenodo.10463045
title: Evaluation of different insecticides against citrus  leaf miner on Nagpur mandarin
DOI: 10.5281/zenodo.10463046
title: Evaluation of different insecticides against citrus  leaf miner on Nagpur mandarin
DOI: 10.5517/ccdc.csd.cc29zsfj
title: CCDC 2144748: Experimental Crystal Structure Determination

description: Related Article: Sahar Jarboui, Chakib Hrizi, Abderrazek Oueslati, Fatma Zouari|2024|Inorg.Chim.Acta|561|121876|doi:10.1016/j.ica.2023.121876
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: 10.5517/ccdc.csd.cc2fsqpn
title: CCDC 2258092: Experimental Crystal Structure Determination

description: Related Article: Shreyata Dey, Chandra Sekhar Nettem, Gopalan Rajaraman, Prasenjit Ghosh|2024|Mol.Catal.|553|113735|doi:10.1016/j.mcat.2023.113735
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: 10.5517/ccdc.csd.cc2fjzxw
title: CCDC 2250659: Experimental Crystal Structure Determination

description: Related Article: Nikita K. Kulachenkov, Bogdan Orlioglo, Eugene S. Vasilyev, Svyatoslav A. Povarov, Alexander M. Agafontsev, Semyon Bachinin, Sergei Shipilovskikh, Artem Lunev, Denis G. Samsonenko, Vladimir P. Fedin, Konstantin A. Kovalenko, Valentin A. Milichko|2023|Chem.Commun.|59|9964|doi:10.1039/D3CC02180G
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: 10.5517/ccdc.csd.cc2g44c4
title: CCDC 2268095: Experimental Crystal Structure Determination

description: Related Article: Anastasiia S. Kuzenkova, Tatiana V. Plakhova, Iurii M. Nevolin, Elizaveta S. Kulikova, Alexander L. Trigub, Vasiliy O. Yapaskurt, Maria D. Shaulskaya, Dmitry M. Tsymbarenko, Anna Yu. Romanchuk, Stepan N. Kalmykov|2023|Inorg.Chem.|62|21025|doi:10.1021/acs.inorgchem.3c02737
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: 10.5517/ccdc.csd.cc2g44d5
title: CCDC 2268096: Experimental Crystal Structure Determination

description: Related Article: Anastasiia S. Kuzenkova, Tatiana V. Plakhova, Iurii M. Nevolin, Elizaveta S. Kulikova, Alexander L. Trigub, Vasiliy O. Yapaskurt, Maria D. Shaulskaya, Dmitry M. Tsymbarenko, Anna Yu. Romanchuk, Stepan N. Kalmykov|2023|Inorg.Chem.|62|21025|doi:10.1021/acs.inorgchem.3c02737
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: 10.5287/ora-nbpnva9x5
title: Rhyme words in English love lyric 1300-1579

description: This dataset includes information about the rhyme words and rhyme groups in c. 925 love lyrics written in English and printed or copied between 1300 and 1579. It was initially assembled in Filemaker between 2005 and 2008, transferred to a Booster database in 2010, and finally to Google Sheets in 2023. It was created to support research for a monograph, Rhyme and the Construction of Love in English Lyric 1300-1579, published by OUP.
DOI: 10.5285/0c665dcd-0bc9-6b5f-e063-6c86abc07096
title: Hydrographic section data (dissolved inorganic nutrients, dissolved inorganic carbon and total alkalinity) from DY120, October 2020, from the Eastern Boundary array (Rockall Trough) and Iceland Basin, as part of UK OSNAP (Overturning in the Subpolar North Atlantic Programme).

description: The dataset consists of water samples collected in the Rockall Trough along the Extended Ellett Line using the lowered rosette during cruise DY120 in October 2020. Samples were analysed for dissolved inorganic carbon, total alkalinity, nitrite+nitrate, phosphate, and silicate. The cruise took place under UK OSNAP (NE/K010875/1 and NE/K010875/2) and UK National Capability CLASS (NE/R015953/1). Sample analysis was funded by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement no. 818123 (iAtlantic).
DOI: 10.5281/zenodo.10463102
title: Untargeted_Analysis_Hydroxylamine

description: LC-MS/MS DDA in positive mode of Natural extracts treated with hydroxylamine and untreated (Q exactive HF)
DOI: 10.5281/zenodo.10463103
title: Untargeted_Analysis_Hydroxylamine

description: LC-MS/MS DDA in positive mode of Natural extracts treated with hydroxylamine and untreated (Q exactive HF)
DOI: 10.6084/m9.figshare.24847161
title: Macrophyte methane flux data compilation

description: Data compilation of plant-associated methane fluxes based on a semi-quantitative literature search.See details of the search procedure and criteria in "Bodmer, P., Vroom, R., Stepina, T., Del Giorgio, P. A., & Kosten, S. Methane dynamics in vegetated habitats in inland waters: quantification, regulation, and global significance. Frontiers in Water, 5, 1332968, doi: 10.3389/frwa.2023.1332968"
DOI: 10.6084/m9.figshare.24847161.v3
title: Macrophyte methane flux data compilation

description: Data compilation of plant-associated methane fluxes based on a semi-quantitative literature search.See details of the search procedure and criteria in "Bodmer, P., Vroom, R., Stepina, T., Del Giorgio, P. A., & Kosten, S. Methane dynamics in vegetated habitats in inland waters: quantification, regulation, and global significance. Frontiers in Water, 5, 1332968, doi: 10.3389/frwa.2023.1332968"
DOI: 10.6084/m9.figshare.24847161.v2
title: Macrophyte methane flux data compilation

description: Data compilation of plant-associated methane fluxes based on a semi-quantitative literature search.See details of the search procedure and criteria in "Bodmer, P., Vroom, R., Stepina, T., Del Giorgio, P. A., & Kosten, S. Methane dynamics in vegetated habitats in inland waters: quantification, regulation, and global significance. Frontiers in Water, 5, 1332968, doi: 10.3389/frwa.2023.1332968"
DOI: 10.25345/c56t0h68d
title: MassIVE MSV000093776 - Untargeted natural extracts_Analysis_Hydroxylamine (+untreated)
title: LC-MS/MS Data dependent analysis in positive mode of natural extracts treated with Hydroxylamine and untreated on Q exactive HF.