cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23948949
title: Raw data exploring the impact survey.xlsx

description: This is the raw data for the survey based study described in the manuscript
DOI: 10.6084/m9.figshare.23948949.v1
title: Raw data exploring the impact survey.xlsx

description: This is the raw data for the survey based study described in the manuscript
DOI: 10.5517/ccdc.csd.cc2grg0q
title: CCDC 2286653: Experimental Crystal Structure Determination

description: Related Article: Frank R.  Fronczek|2023|CSD Communication|||
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.cc2grkyr
title: CCDC 2286775: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Carsten Höltke, Roland Fröhlich, Gerhard Erker|2023|CSD Communication|||
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.cc2grl61
title: CCDC 2286783: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Carsten Höltke, Roland Fröhlich, Gerhard Erker|2023|CSD Communication|||
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: 10.6084/m9.figshare.22588963
title: Prediction of bacterial pH preferences using machine learning

description: This code includes hyperparameter optimization and evaluation of a boosted regression model to predict bacterial pH preferences using information on the presence/absence of functional genes in bacterial genomes. For a more detailed description of the approach see https://github.com/fiererlab/ph_preference/blob/main/Whole_FeatureSelection_Final.ipynb. <br> Important file descriptions: <br> load_and_run_pH_model.ipynb is the notebook required to run the model. pH_model_2022-10-17_56_full.sav is the model file (trained on the data from this study). Readme.txt specifies how to set up an environment with the dependencies found in environment.yaml, which are required to run the notebook and model.
DOI: 10.6084/m9.figshare.22588963.v6
title: Prediction of bacterial pH preferences using machine learning

description: This code includes hyperparameter optimization and evaluation of a boosted regression model to predict bacterial pH preferences using information on the presence/absence of functional genes in bacterial genomes. For a more detailed description of the approach see https://github.com/fiererlab/ph_preference/blob/main/Whole_FeatureSelection_Final.ipynb. <br> Important file descriptions: <br> load_and_run_pH_model.ipynb is the notebook required to run the model. pH_model_2022-10-17_56_full.sav is the model file (trained on the data from this study). Readme.txt specifies how to set up an environment with the dependencies found in environment.yaml, which are required to run the notebook and model.
DOI: 10.5519/qd.2xdntj9p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (382 records)
DOI: 10.6084/m9.figshare.20756683
title: Mind the Gap: The Difference Between Coverage and Mutation Score Can Guide Testing Efforts

description: The following artifact contains all code and results to reproduce experiments in the paper: "Mind the Gap: The Difference Between Coverage and Mutation Score Can Guide Testing Efforts".
DOI: 10.6084/m9.figshare.20756683.v1
title: Mind the Gap: The Difference Between Coverage and Mutation Score Can Guide Testing Efforts

description: The following artifact contains all code and results to reproduce experiments in the paper: "Mind the Gap: The Difference Between Coverage and Mutation Score Can Guide Testing Efforts".
DOI: 10.22003/xfel.eu-data-005996-00
title: Measurement of the Alloying Dynamics of Bimetallic Core-shell Rods in Liquid Medium Using Femto-second Laser Pump X-ray Probe Technique
DOI: 10.6084/m9.figshare.21720803
title: PFC MERFISH

description: The prefrontal cortex (PFC) is functionally one of the most complex regions of mammalian brain. Unlike other cortical areas that process single sensory modalities (like vision, touch, smell, etc.), the PFC integrates information across brain regions to regulate diverse functions ranging from cognition, emotion, executive action to even pain sensitivity. However, it is unclear how such diverse functions are organized at the cellular and circuit levels within the anatomical modules of the PFC. Here we employed spatially resolved single-cell transcriptome profiling to decode PFC’s organizational heterogeneity. The results revealed that PFC has very distinct cell type composition relative to all neighboring cortical areas. Interestingly, PFC adopts specialized transcriptional features, distinct from all neighbors, with differentially express genes regulating neuronal excitability. Additionally, projections of PFC neuron subclusters to major subcortical targets are determined in a target-intrinsic fashion. These cellular and molecular features further segregated within subregions of PFC, alluding to the subregion-specific specialization of several PFC functions. Finally, to exemplify the utility of these unique cellular, molecular and projection properties, we identified distinct cell types and circuits in PFC engaging in pathogenesis of chronic pain. Collectively, we not only present a comprehensive organizational map of the PFC, critical for supporting its diverse functions, but also reveal the cluster and circuit identity of a pathway underlying chronic pain pathogenesis, which paves ways for mechanistic understanding and potential interventions.
DOI: 10.5281/zenodo.8230111
title: CXSPM_mass_spec_data

description: The Native MS data for paper "<strong>Polyamine detergents tailored for native mass spectrometry studies of membrane proteins</strong>"
DOI: 10.5281/zenodo.8230110
title: CXSPM_mass_spec_data

description: The Native MS data for paper "<strong>Polyamine detergents tailored for native mass spectrometry studies of membrane proteins</strong>"
DOI: 10.24432/c5zp6r
title: Average Localization Error (ALE) in sensor node localization process in WSNs
DOI: 10.5517/ccdc.csd.cc2bzpcd
title: CCDC 2174444: Experimental Crystal Structure Determination

description: Related Article: Lorenzo Sori, Andrea Pizzi, Greta Bergamaschi, Alessandro Gori, Alfonso Gautieri, Nicola Demitri, Monica Soncini, Pierangelo Metrangolo|2023|CrystEngComm|25|4503|doi:10.1039/D3CE00495C
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.cc2bzpgh
title: CCDC 2174447: Experimental Crystal Structure Determination

description: Related Article: Lorenzo Sori, Andrea Pizzi, Greta Bergamaschi, Alessandro Gori, Alfonso Gautieri, Nicola Demitri, Monica Soncini, Pierangelo Metrangolo|2023|CrystEngComm|25|4503|doi:10.1039/D3CE00495C
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.cc2bzpdf
title: CCDC 2174445: Experimental Crystal Structure Determination

description: Related Article: Lorenzo Sori, Andrea Pizzi, Greta Bergamaschi, Alessandro Gori, Alfonso Gautieri, Nicola Demitri, Monica Soncini, Pierangelo Metrangolo|2023|CrystEngComm|25|4503|doi:10.1039/D3CE00495C
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.cc2bzpfg
title: CCDC 2174446: Experimental Crystal Structure Determination

description: Related Article: Lorenzo Sori, Andrea Pizzi, Greta Bergamaschi, Alessandro Gori, Alfonso Gautieri, Nicola Demitri, Monica Soncini, Pierangelo Metrangolo|2023|CrystEngComm|25|4503|doi:10.1039/D3CE00495C
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.cc2fqf3q
title: CCDC 2255873: Experimental Crystal Structure Determination

description: Related Article: Ana Arteaga, Alice Lulich, May Nyman, Robert G. Surbella|2023|CrystEngComm|25|4496|doi:10.1039/D3CE00358B
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.cc2fqf4r
title: CCDC 2255874: Experimental Crystal Structure Determination

description: Related Article: Ana Arteaga, Alice Lulich, May Nyman, Robert G. Surbella|2023|CrystEngComm|25|4496|doi:10.1039/D3CE00358B
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.cc2fqf5s
title: CCDC 2255875: Experimental Crystal Structure Determination

description: Related Article: Ana Arteaga, Alice Lulich, May Nyman, Robert G. Surbella|2023|CrystEngComm|25|4496|doi:10.1039/D3CE00358B
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: 10.5281/zenodo.8247597
title: Archi text corpus

description: Archi belongs to the Lezgic group of the Nakh-Daghestanian (North-East Caucasian) languages, being quite loosely related to the rest of the group. It has been long time surrounded by non-Lezgic languages and therefore has kept and/or acquired a number of peculiar features. Here is presented a sample of texts collected in the village of Archi in 2006 and 2007. In total, over 50 texts of various genres have been recorded, including stories, conversations, tales, legends and songs. Most of them were recorded in both video and audio. Two kinds of texts were recorded. First, some 30 previously published (1977) texts were re-recorded in video and audio, read by one of three speakers. (The original recordings do not exist anymore). Second, new texts have been collected, mostly dialogues and stories. Texts available in this version were all originally published in [Kibrik et al. 1977]. <em>Кибрик А. Е., Кодзасов С. В., Оловянникова И. П., Самедов Д. С.</em> Арчинский язык. Тексты и словари. — М.: МГУ, 1977.<br> [Kibrik, Aleksandr E.; Kodzasov, S. V.; Olovjannikova, I. P. & Samedov, D. S. (1977). <em>Arčinskij jazyk. Teksiy i slovari</em>. Moscow: Izdatel'stvo moskovskogo universiteta.] The project was generously supported by NSF grant #0553546 «Five languages of Eurasia» (PI under the Documenting Endangered Languages Program, and by RFBR grants № 05-06-80351 «Minority languages and cultures: On the verge of extinction» and № 08-06-00345 «Multimedia corpora for endangered languages».
description: This is a preliminary version of the (re)analysis of the texts as published in 2007 on the project's website at http://www.philol.msu.ru/~languedoc/rus/archi/corpus.php. The documents are provided in DOCX (MS Word) and PDF formats.
description: {"references": ["\u041a\u0438\u0431\u0440\u0438\u043a \u0410. \u0415., \u041a\u043e\u0434\u0437\u0430\u0441\u043e\u0432 \u0421. \u0412., \u041e\u043b\u043e\u0432\u044f\u043d\u043d\u0438\u043a\u043e\u0432\u0430 \u0418. \u041f., \u0421\u0430\u043c\u0435\u0434\u043e\u0432 \u0414. \u0421. \u0410\u0440\u0447\u0438\u043d\u0441\u043a\u0438\u0439 \u044f\u0437\u044b\u043a. \u0422\u0435\u043a\u0441\u0442\u044b \u0438 \u0441\u043b\u043e\u0432\u0430\u0440\u0438. \u2014 \u041c.: \u041c\u0413\u0423, 1977. [Kibrik, Aleksandr E.; Kodzasov, S. V.; Olovjannikova, I. P. & Samedov, D. S. (1977). Ar\u010dinskij jazyk. Teksiy i slovari. Moscow: Izdatel'stvo moskovskogo universiteta.]"]}
DOI: 10.5281/zenodo.8247596
title: Archi text corpus

description: Archi belongs to the Lezgic group of the Nakh-Daghestanian (North-East Caucasian) languages, being quite loosely related to the rest of the group. It has been long time surrounded by non-Lezgic languages and therefore has kept and/or acquired a number of peculiar features. Here is presented a sample of texts collected in the village of Archi in 2006 and 2007. In total, over 50 texts of various genres have been recorded, including stories, conversations, tales, legends and songs. Most of them were recorded in both video and audio. Two kinds of texts were recorded. First, some 30 previously published (1977) texts were re-recorded in video and audio, read by one of three speakers. (The original recordings do not exist anymore). Second, new texts have been collected, mostly dialogues and stories. Texts available in this version were all originally published in [Kibrik et al. 1977]. <em>Кибрик А. Е., Кодзасов С. В., Оловянникова И. П., Самедов Д. С.</em> Арчинский язык. Тексты и словари. — М.: МГУ, 1977.<br> [Kibrik, Aleksandr E.; Kodzasov, S. V.; Olovjannikova, I. P. & Samedov, D. S. (1977). <em>Arčinskij jazyk. Teksiy i slovari</em>. Moscow: Izdatel'stvo moskovskogo universiteta.] The project was generously supported by NSF grant #0553546 «Five languages of Eurasia» (PI under the Documenting Endangered Languages Program, and by RFBR grants № 05-06-80351 «Minority languages and cultures: On the verge of extinction» and № 08-06-00345 «Multimedia corpora for endangered languages».
description: This is a preliminary version of the (re)analysis of the texts as published in 2007 on the project's website at http://www.philol.msu.ru/~languedoc/rus/archi/corpus.php. The documents are provided in DOCX (MS Word) and PDF formats.
description: {"references": ["\u041a\u0438\u0431\u0440\u0438\u043a \u0410. \u0415., \u041a\u043e\u0434\u0437\u0430\u0441\u043e\u0432 \u0421. \u0412., \u041e\u043b\u043e\u0432\u044f\u043d\u043d\u0438\u043a\u043e\u0432\u0430 \u0418. \u041f., \u0421\u0430\u043c\u0435\u0434\u043e\u0432 \u0414. \u0421. \u0410\u0440\u0447\u0438\u043d\u0441\u043a\u0438\u0439 \u044f\u0437\u044b\u043a. \u0422\u0435\u043a\u0441\u0442\u044b \u0438 \u0441\u043b\u043e\u0432\u0430\u0440\u0438. \u2014 \u041c.: \u041c\u0413\u0423, 1977. [Kibrik, Aleksandr E.; Kodzasov, S. V.; Olovjannikova, I. P. & Samedov, D. S. (1977). Ar\u010dinskij jazyk. Teksiy i slovari. Moscow: Izdatel'stvo moskovskogo universiteta.]"]}
DOI: 10.5281/zenodo.8247217
title: TongueTap: Multimodal Tongue Gesture Recognition with Head-Worn Devices

description: Please cite the primary paper at https://doi.org/10.1145/3577190.3614120 when referencing this dataset. This dataset contains multimodal tongue gesture data as a supplement for "TongueTap: Multimodal Tongue Gesture Recognition with Head-Worn Devices" published in ICMI (International Conference on Multimodal Interfaces) 2023. The data is presented in three formats (XDF, pickle and NumPy) at various stages of pre-processing. Please review the READMEs in each file before working with them. Please also review the paper at https://doi.org/10.1145/3577190.3614120 for more information about the data and how it was collected. <strong>Abstract</strong> Mouth-based interfaces are a promising new approach enabling silent, hands-free and eyes-free interaction with wearable devices. However, interfaces sensing mouth movements are traditionally custom-designed and placed near or within the mouth. TongueTap synchronizes multimodal EEG, PPG, IMU, eye tracking and head tracking data from two commercial headsets to facilitate tongue gesture recognition using only off-the-shelf devices on the upper face. We classified eight closed-mouth tongue gestures with 94% accuracy, offering an invisible and inaudible method for discreet control of head-worn devices. Moreover, we found that the IMU alone differentiates eight gestures with 80% accuracy and a subset of four gestures with 92% accuracy. We built a dataset of 48,000 gesture trials across 16 participants, allowing TongueTap to perform user-independent classification. Our findings suggest tongue gestures can be a viable interaction technique for VR/AR headsets and earables without requiring novel hardware.
DOI: 10.5281/zenodo.8247216
title: TongueTap: Multimodal Tongue Gesture Recognition with Head-Worn Devices

description: Please cite the primary paper at https://doi.org/10.1145/3577190.3614120 when referencing this dataset. This dataset contains multimodal tongue gesture data as a supplement for "TongueTap: Multimodal Tongue Gesture Recognition with Head-Worn Devices" published in ICMI (International Conference on Multimodal Interfaces) 2023. The data is presented in three formats (XDF, pickle and NumPy) at various stages of pre-processing. Please review the READMEs in each file before working with them. Please also review the paper at https://doi.org/10.1145/3577190.3614120 for more information about the data and how it was collected. <strong>Abstract</strong> Mouth-based interfaces are a promising new approach enabling silent, hands-free and eyes-free interaction with wearable devices. However, interfaces sensing mouth movements are traditionally custom-designed and placed near or within the mouth. TongueTap synchronizes multimodal EEG, PPG, IMU, eye tracking and head tracking data from two commercial headsets to facilitate tongue gesture recognition using only off-the-shelf devices on the upper face. We classified eight closed-mouth tongue gestures with 94% accuracy, offering an invisible and inaudible method for discreet control of head-worn devices. Moreover, we found that the IMU alone differentiates eight gestures with 80% accuracy and a subset of four gestures with 92% accuracy. We built a dataset of 48,000 gesture trials across 16 participants, allowing TongueTap to perform user-independent classification. Our findings suggest tongue gestures can be a viable interaction technique for VR/AR headsets and earables without requiring novel hardware.
DOI: 10.15482/usda.adc/1529421
title: Data and code from: Cover crop and crop rotation effects on tissue and soil population dynamics of Macrophomina phaseolina and yield in no-till system - V2

description: [Note 2023-08-14 - Supersedes version 1, https://doi.org/10.15482/USDA.ADC/1528086]
This dataset contains all code and data necessary to reproduce the analyses in the manuscript:
Mengistu, A., Read, Q. D. Cover crop and crop rotation effects on tissue and soil population dynamics of Macrophomina phaseolina and yield in no-till system. (Citation will be updated upon final acceptance of manuscript)
The .zip archive cropping-systems-1.0.zip contains data and code files.
Data

stem_soil_CFU_by_plant.csv: Soil disease load (SoilCFUg) and stem tissue disease load (StemCFUg) for individual plants in CFU per gram, with columns indicating year, plot ID, replicate, row, plant ID, previous crop treatment, cover crop treatment, and comments. Missing data are indicated with .
yield_CFU_by_plot.csv: Yield data (YldKgHa) at the plot level in units of kg/ha, with columns indicating year, plot ID, replicate, and treatments, as well as means of soil and stem disease load at the plot level.

Code

cropping_system_analysis_v3.0.Rmd: RMarkdown notebook with all data processing, analysis, and visualization code
equations.Rmd: RMarkdown notebook with formatted equations
formatted_figs_revision.R: R script to produce figures formatted exactly as they appear in the manuscript

The Rproject file cropping-systems.Rproj is used to organize the RStudio project. Scripts and notebooks used in older versions of the analysis are found in the testing/ subdirectory. Excel spreadsheets containing raw data from which the cleaned CSV files were created are found in the raw_data subdirectory.
DOI: 10.5281/zenodo.8247784
title: Flights

description: Flights data
DOI: 10.5281/zenodo.8247783
title: Flights

description: Flights data
DOI: 10.6084/m9.figshare.3761562.v2677
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.8213098
title: MPI-PCB Dataset

description: The Multi-Perspective and Illumination PCB (MPI-PCB) dataset contains 1742 images with dimensions of 4096 × 2816-pixel showing an unmodified PCB from a gas pump. The images were captured using a Canon EOS 1100D camera with 18–55 mm lenses. The set also contains 55 images showing the board with modifications manually added by the authors, which are meant to be representative of situations encountered in actual frauds. These samples also contains labeled semantic segmentation masks that represents the localization of the frauds, being able to execute the comparision between different techniques. Images were captured from a generally overhead view, but without strict demands on position or illumination, as expected in a real-world situation. To reduce variations that may occur in the image registration step and focus on the anomaly detection problem, the dataset contains the images after the registration procedure described in the original paper: Image-Based Detection of Modifications in Assembled PCBs with Deep Convolutional Autoencoders (https://www.mdpi.com/1424-8220/23/3/1353) The dataset is available on several formats following what was used on the paper: The images in the original size with alignment. The images already split in grids as presented in the paper. The .tfrecord used in the training using Google Colab TPUs*. In the images format the dataset were organized following the MVTec-AD structure, so it is easy to use the same source codes for MVTec-AD. Please cite: <pre>@article{candido2023image, title={Image-Based Detection of Modifications in Assembled PCBs with Deep Convolutional Autoencoders}, author={Candido de Oliveira, Diulhio and Nassu, Bogdan Tomoyuki and Wehrmeister, Marco Aurelio}, journal={Sensors}, volume={23}, number={3}, pages={1353}, year={2023}, publisher={MDPI} }</pre>