cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21967265
title: NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python

description: Machine learning (ML) has gained much attention and has been incorporated into our daily lives. While there are numerous publicly available ML projects on open source platforms such as GitHub, there have been limited attempts in filtering those projects to curate ML projects of high quality. The limited availability of such high-quality dataset poses an obstacle to understanding ML projects. To help clear this obstacle, we present NICHE, a manually labelled dataset consisting of 572 ML projects. Based on evidences of good software engineering practices, we label 441 of these projects as engineered and 131 as non-engineered. In this repository we provide "NICHE.csv" file that contains the list of the project names along with their labels, descriptive information for every dimension, and several basic statistics, such as the number of stars and commits. This dataset can help researchers understand the practices that are followed in high-quality ML projects. It can also be used as a benchmark for classifiers designed to identify engineered ML projects. <br> GitHub page: https://github.com/soarsmu/NICHE
DOI: 10.5281/zenodo.7573123
title: Data files for Constraints on axionlike particles from a combined analysis of three flaring Fermi flat-spectrum radio quasars

description: In this repository, we provide data files in connection to our publication “Constraints on axionlike particles from a combined analysis of three flaring Fermi flat-spectrum radio quasars” submitted for publication in Physical Review D and available on the Arxiv: https://arxiv.org/abs/2211.03414 <br> In the paper, we analyze data from the Fermi Large Area Telescope (LAT) of three flat spectrum radio quasars (FSRQs): 3C454.3, 3C279, and CTA102, to search for signatures of oscillations between photons and axion-like particles (ALPs).<br> In this repository, we provide the following data: Files ending on *_data_seds.npy contain the spectral energy distributions (SEDs) measured with the Fermi LAT and extracted using the fermipy software Files ending on *_LLs.npy contain the log-likelihood values of our fits over a grid of ALP masses and photon-ALP couplings Files ending on *_Lambdas.npy contain the log-likelihood ratio test values of our fits over a grid of ALP masses and photon-ALP couplings Files ending on *_LL_thresh.npy contain the threshold values for the log-likelihood ratio test for which we can claim an exclusion at the 95% confidence level over a grid of ALP masses and photon-ALP couplings Files ending on*_contours.npy contain the upper limit contours. Files starting with "ALL" contain the likelihoods combined over all sources We also provide a minimal jupyter notebook, analysis_arrays.ipynb, that demonstrates how to read in the files.
DOI: 10.5281/zenodo.7573122
title: Data files for Constraints on axionlike particles from a combined analysis of three flaring Fermi flat-spectrum radio quasars

description: In this repository, we provide data files in connection to our publication “Constraints on axionlike particles from a combined analysis of three flaring Fermi flat-spectrum radio quasars” submitted for publication in Physical Review D and available on the Arxiv: https://arxiv.org/abs/2211.03414 <br> In the paper, we analyze data from the Fermi Large Area Telescope (LAT) of three flat spectrum radio quasars (FSRQs): 3C454.3, 3C279, and CTA102, to search for signatures of oscillations between photons and axion-like particles (ALPs).<br> In this repository, we provide the following data: Files ending on *_data_seds.npy contain the spectral energy distributions (SEDs) measured with the Fermi LAT and extracted using the fermipy software Files ending on *_LLs.npy contain the log-likelihood values of our fits over a grid of ALP masses and photon-ALP couplings Files ending on *_Lambdas.npy contain the log-likelihood ratio test values of our fits over a grid of ALP masses and photon-ALP couplings Files ending on *_LL_thresh.npy contain the threshold values for the log-likelihood ratio test for which we can claim an exclusion at the 95% confidence level over a grid of ALP masses and photon-ALP couplings Files ending on*_contours.npy contain the upper limit contours. Files starting with "ALL" contain the likelihoods combined over all sources We also provide a minimal jupyter notebook, analysis_arrays.ipynb, that demonstrates how to read in the files.
DOI: 10.5281/zenodo.7575783
title: Hydrothermally altered landslide deposits at Askja, Iceland - field data

description: We analyze the proximal deposits of the July 21, 2014 landslide at Askja (Iceland), by combining high-resolution imagery from Unoccupied Aircraft Systems (UAS) and in-situ hyperspectral field data. Results underline that the northern part of the landslide source region is a hydrothermally altered material class, which bifurcates halfway downslope and then extends to the lake. Here we provide the field data, such as the drone derived orthomosaic and digital elevation model (DEM), as well as hyperspectral field data. For locations of the data and measurements made we refer to the publication Pouria Marzban, Stefan Bredemeyer, Thomas R. Walter, Friederike Kaestner, Daniel Mueller and Sabine Chabrillat (2023) Hydrothermally altered landslide deposits at Askja, Iceland, identified by high resolution satellite and UAS imagery, spectral classification and hyperspectral field data.Frontiers in Earth Science Volcanology. Manuscript ID: 1083043
description: To preview or open the files: DEM - open in QGis or ArcMap or similar Orthomosaic - open in QGis or ArcMap or similar Point cloud - open in Metashape or CloudCompare or similar Hyperspectral - open in ENVI or similar
DOI: 10.5281/zenodo.7575782
title: Hydrothermally altered landslide deposits at Askja, Iceland - field data

description: We analyze the proximal deposits of the July 21, 2014 landslide at Askja (Iceland), by combining high-resolution imagery from Unoccupied Aircraft Systems (UAS) and in-situ hyperspectral field data. Results underline that the northern part of the landslide source region is a hydrothermally altered material class, which bifurcates halfway downslope and then extends to the lake. Here we provide the field data, such as the drone derived orthomosaic and digital elevation model (DEM), as well as hyperspectral field data. For locations of the data and measurements made we refer to the publication Pouria Marzban, Stefan Bredemeyer, Thomas R. Walter, Friederike Kaestner, Daniel Mueller and Sabine Chabrillat (2023) Hydrothermally altered landslide deposits at Askja, Iceland, identified by high resolution satellite and UAS imagery, spectral classification and hyperspectral field data.Frontiers in Earth Science Volcanology. Manuscript ID: 1083043
description: To preview or open the files: DEM - open in QGis or ArcMap or similar Orthomosaic - open in QGis or ArcMap or similar Point cloud - open in Metashape or CloudCompare or similar Hyperspectral - open in ENVI or similar
DOI: 10.15129/f2682fec-ee80-421f-ad05-0fa4e40567a1
title: Additional Data for MicroLED Biosensor

description: Additional Data required for clarification of measurements for spectral irradiance and coupling losses in "MircoLED Biosensor with Colloidal Quantum Dots and Smartphone Detection"
DOI: 10.21227/ec2t-dm83
title: Simulation files for paper: Low-Cost LED Driver based on a Low-Dropout Current Regulator Combined with a Quasi-Resonant Buck Pre-Regulator

description: Simulation files for the paper "Low-Cost LED Driver based on a Low-Dropout Current Regulator Combined with a Quasi-Resonant Buck Pre-Regulator"Requires LT Spice version XVII or later.
DOI: 10.5281/zenodo.7568465
title: Dataset associated with Senf et al. (2023): "How the extreme 2019-2020 Australian wildfire affected global circulation and adjustments"

description: This contains data aggregates derived from global ECHAM-HAM simulation for the study for effects due to the extreme Australian wildfire event 2019/2020. This data build the basis for analysis and figures in Senf et al. (2023) submitted to ACP. Simulation Data are available for freely running ensembles (36 member) and nudged simulations conducted for fire emissions artificially scaled with factors 0, 1, 2, 3, 5. stored for Jan - Mar 2020
DOI: 10.5519/qd.tio0244e
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (96296 records)
DOI: 10.5281/zenodo.6422025
title: MediCause Dataset of Causal Sentences with Annotated Entities

description: The MediCause dataset contains 1202 causal sentences from medical publications where the entities involved in the causal relations have been annotated according to the MediCause ontological model for causal relations. The entities are annotated according to the Inside-Outside-Beginning (IOB) format. The labels used for the annotation are B-C (Cause), B-VC (Causal Variable), B-CS (Beginning Causal Specifier), I-CS (Inside Causal Specifier), B-CON (Beginning Connective), I-CON (Inside Connective), B-EF (Effect), B-VE (Effect Variable), B-ES (Beginning Effect Specifier), I-ES (nside Effect Specifier), O (Outside).
description: If you find this dataset useful please consider citing our paper: @inproceedings{reklos2022medicause, title={MediCause: Causal Relation Modelling and Extraction from Medical Publications}, author={Reklos, Ioannis and Mero{\~n}o-Pe{\~n}uela, Albert}, booktitle={CEUR Workshop Proceedings}, volume={3184}, pages={1--18}, year={2022}, organization={CEUR-WS} }
DOI: 10.5281/zenodo.6422024
title: MediCause Dataset of Causal Sentences with Annotated Entities

description: The MediCause dataset contains 1202 causal sentences from medical publications where the entities involved in the causal relations have been annotated according to the MediCause ontological model for causal relations. The entities are annotated according to the Inside-Outside-Beginning (IOB) format. The labels used for the annotation are B-C (Cause), B-VC (Causal Variable), B-CS (Beginning Causal Specifier), I-CS (Inside Causal Specifier), B-CON (Beginning Connective), I-CON (Inside Connective), B-EF (Effect), B-VE (Effect Variable), B-ES (Beginning Effect Specifier), I-ES (nside Effect Specifier), O (Outside).
description: If you find this dataset useful please consider citing our paper: @inproceedings{reklos2022medicause, title={MediCause: Causal Relation Modelling and Extraction from Medical Publications}, author={Reklos, Ioannis and Mero{\~n}o-Pe{\~n}uela, Albert}, booktitle={CEUR Workshop Proceedings}, volume={3184}, pages={1--18}, year={2022}, organization={CEUR-WS} }
DOI: 10.34740/kaggle/dsv/4904999
title: To test upload process
DOI: 10.6084/m9.figshare.21967361
title: sSLR_spreadsheet.xlsx

description: Spreadsheet used with the information about papers
DOI: 10.5281/zenodo.7575860
title: Mapping Jewish Communities of the Byzantine Empire

description: The aim of the project was to map the Jewish presence in the Byzantine empire using GIS (Geographical Information Systems). All references (published and unpublished) to Jewish communities in the Byzantine Empire were gathered and collated. The data were incorporated in a GIS which will be made freely available to the general public using web maps at www.byzantinejewry.net.
DOI: 10.5281/zenodo.1009559
title: Mapping Jewish Communities of the Byzantine Empire

description: The aim of the project was to map the Jewish presence in the Byzantine empire using GIS (Geographical Information Systems). All references (published and unpublished) to Jewish communities in the Byzantine Empire were gathered and collated. The data were incorporated in a GIS which will be made freely available to the general public using web maps at www.byzantinejewry.net.
DOI: 10.5517/ccdc.csd.cc24949x
title: CCDC 1974988: Experimental Crystal Structure Determination

description: Related Article:  Zhong-Lin Li, Rui Feng, Sheng-Qing Fan, De-Shuai Zhang, Qing-Qing Yang, Fang-Hua Zhao|2022|J.Chem.Cryst.|52|97|doi:10.1007/s10870-021-00895-0
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.cc2494by
title: CCDC 1974989: Experimental Crystal Structure Determination

description: Related Article:  Zhong-Lin Li, Rui Feng, Sheng-Qing Fan, De-Shuai Zhang, Qing-Qing Yang, Fang-Hua Zhao|2022|J.Chem.Cryst.|52|97|doi:10.1007/s10870-021-00895-0
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.cc26rh3l
title: CCDC 2048359: Experimental Crystal Structure Determination

description: Related Article: Khaled Al Khalyfeh, Deeb Taher, Wissam Helal, Marcus Korb, Hazem Amarne, Heinrich Lang
|2022|J.Chem.Cryst.|52|113|doi:10.1007/s10870-021-00896-z
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.cc27k7ln
title: CCDC 2072151: Experimental Crystal Structure Determination

description: Related Article: Yurii I. Slyvka, Evgeny А. Goreshnik, Nazariy T. Pokhodylo, Marian G. Mys’kiv|2022|J.Chem.Cryst.|52|205|doi:10.1007/s10870-021-00906-0
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.cc27y4w7
title: CCDC 2083599: Experimental Crystal Structure Determination

description: Related Article: Tarlok Singh Lobana, Amanpreet Kaur Sandhu, Geeta Hundal, Jerry P. Jasinski|2022|J.Chem.Cryst.|52|409|doi:10.1007/s10870-021-00897-y
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.cc27y4x8
title: CCDC 2083600: Experimental Crystal Structure Determination

description: Related Article: Tarlok Singh Lobana, Amanpreet Kaur Sandhu, Geeta Hundal, Jerry P. Jasinski|2022|J.Chem.Cryst.|52|409|doi:10.1007/s10870-021-00897-y
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.cc28398z
title: CCDC 2088540: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc283990
title: CCDC 2088541: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc2839b1
title: CCDC 2088542: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc2839c2
title: CCDC 2088543: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc2839d3
title: CCDC 2088544: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc2839f4
title: CCDC 2088545: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc2839g5
title: CCDC 2088546: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc2839h6
title: CCDC 2088547: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc2839j7
title: CCDC 2088548: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc2839k8
title: CCDC 2088549: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc2839l9
title: CCDC 2088550: Experimental Crystal Structure Determination

description: Related Article: Robert D. Pike, Neal E. Marshall, Abigail L. Martucci|2022|J.Chem.Cryst.|52|161|doi:10.1007/s10870-021-00901-5
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.cc285df9
title: CCDC 2090560: Experimental Crystal Structure Determination

description: Related Article: Karlheinz Sünkel, Christian Klein-Heßling|2022|J.Chem.Cryst.|52|131|doi:10.1007/s10870-021-00898-x
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.cc25h32w
title: CCDC 2010507: Experimental Crystal Structure Determination

description: Related Article: Dean H. Johnston, Mallory Gasbarre, Carolanne E. Norris|2022|J.Chem.Cryst.|52|140|doi:10.1007/s10870-021-00899-w
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.cc25h33x
title: CCDC 2010508: Experimental Crystal Structure Determination

description: Related Article: Dean H. Johnston, Mallory Gasbarre, Carolanne E. Norris|2022|J.Chem.Cryst.|52|140|doi:10.1007/s10870-021-00899-w
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.