cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/c414ddc18f4a02456f1d44f96e5268d1
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-10 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.3886/e142121v1
title: Data and Code for COVID-19 spread, detection, and dynamics in a megacity in Latin America

description: We implemented a COVID-19 sentinel surveillance study with 59,770 RT-PCR tests on mostly asymptomatic individuals and combine this data with administrative records on all detected cases to capture the spread and dynamics of the COVID-19 pandemic in Bogotá from June 2020 to early March 2021. We describe various features of the pandemic that appear to be specific to a developing-country context. We find that, by March 2021, slightly more than half of the population in Bogotá has been infected, despite only a small fraction of this population being detected. The initial buildup of immunity contributed to the containment of the pandemic in the first and second waves. We also show that the share of the population infected by March 2021 varies widely by occupation, socio-economic stratum, and location. This, in turn, has affected the dynamics of the spread with different groups being infected in the two waves. <br><br>
DOI: 10.21942/uva.14754870
title: Decoded EEG (time-domain) dataset for manuscript: Preserved sensory processing but hampered conflict detection when stimulus input is task-irrelevant

description: Here you can find the time-domain decoding results. For details on how to analyse see the group-level analysis script.
DOI: 10.21942/uva.14754870.v1
title: Decoded EEG (time-domain) dataset for manuscript: Preserved sensory processing but hampered conflict detection when stimulus input is task-irrelevant

description: Here you can find the time-domain decoding results. For details on how to analyse see the group-level analysis script.
DOI: 10.21942/uva.14730402
title: Decoded EEG (time-frequency) dataset for manuscript: Preserved sensory processing but hampered conflict detection when stimulus input is task-irrelevant

description: The output of the multivariate pattern analysis (MVPA, decoding) of the EEG data in the time-frequency domain is stored here. There is a .zip file for every behavioral task. Within each .zip file are three folders containing the data for each decoded stimulus feature (i.e. sound congruency, sound content, sound location). For the CD1, VRDM and VO task, both the individual session data and merged data is stored in these folders. These data can be used in the group analysis of the EEG data, to recreate figures from the manuscript.
DOI: 10.21942/uva.14730402.v1
title: Decoded EEG (time-frequency) dataset for manuscript: Preserved sensory processing but hampered conflict detection when stimulus input is task-irrelevant

description: The output of the multivariate pattern analysis (MVPA, decoding) of the EEG data in the time-frequency domain is stored here. There is a .zip file for every behavioral task. Within each .zip file are three folders containing the data for each decoded stimulus feature (i.e. sound congruency, sound content, sound location). For the CD1, VRDM and VO task, both the individual session data and merged data is stored in these folders. These data can be used in the group analysis of the EEG data, to recreate figures from the manuscript.
DOI: 10.21942/uva.14730396.v1
title: Raw behavioral dataset for manuscript: Preserved sensory processing but hampered conflict detection when stimulus input is task-irrelevant

description: The behavioral data for Experiment 1 and Experiment 2 of this manuscript are stored here (note: behavioral data of Experiment 2 was retreived from the EEG data). For tasks with more than 1 session/run there are two behavioral files per subject, one for each experimental session (label 0: first session, label 1: second session).<br>Data are stored in .zip files which should be unpacked in folders with the same name (e.g. CD1.zip in folder CD1).<br>
DOI: 10.21942/uva.14730396
title: Raw behavioral dataset for manuscript: Preserved sensory processing but hampered conflict detection when stimulus input is task-irrelevant

description: The behavioral data for Experiment 1 and Experiment 2 of this manuscript are stored here (note: behavioral data of Experiment 2 was retreived from the EEG data). For tasks with more than 1 session/run there are two behavioral files per subject, one for each experimental session (label 0: first session, label 1: second session).<br>Data are stored in .zip files which should be unpacked in folders with the same name (e.g. CD1.zip in folder CD1).<br>
DOI: 10.6073/pasta/24d565016102c0cf58f53476642e1026
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-10. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-10 site. This is an ONGOING dataset.
DOI: 10.5281/zenodo.4918043
title: gCSI 2019 BCO

description: BioCompute Object (BCO) for gCSI 2019 data object generated by ORCESTRA (orcestra.ca)
DOI: 10.5281/zenodo.4918042
title: gCSI 2019 BCO

description: BioCompute Object (BCO) for gCSI 2019 data object generated by ORCESTRA (orcestra.ca)
DOI: 10.6073/pasta/ab32c5f260f61cecba798f1e7ba8b496
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-10. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-10 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/37cdc7a42d18e95747d3259b8e33931b
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-10 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-10 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.5281/zenodo.4918316
title: calibrated meudon data

description: This repository contains calibrated (rotation and shift corrected) Carrington maps created from hand-drawn maps of Meudon archive (available from Solar Survey Archive at Observatoire de Paris: http://bass2000.obspm.fr/lastsynmap.php). The Meudon archive consists of grayscale images for Carrington rotation 876-1823 and coloured images for Carrington rotation 1824-2008. Missing rotations include {993, 1033, 1044, 1186, 1275, 1851-1930}. We have used an automated method (described in our paper: https://arxiv.org/pdf/2106.04320.pdf) to calibrate these maps and utilised the resulting maps for further studies of solar filaments. Each calibrated map is in the Carrington longitude (x) vs latitude (y) grid and covers 360 degrees along x and 180 degrees along y. We are making these calibrated maps public now and can be used for any further studies only after citing our paper Mazumder et al 2021. @misc{mazumder2021solar, title={Solar Cycle Evolution of Filaments over a Century: Investigations with the Meudon and McIntosh Hand-drawn Archives}, author={Rakesh Mazumder and Subhamoy Chatterjee and Dibyendu Nandy and Dipankar Banerjee}, year={2021}, eprint={2106.04320}, archivePrefix={arXiv}, primaryClass={astro-ph.SR} }
DOI: 10.5281/zenodo.4918315
title: calibrated meudon data

description: This repository contains calibrated (rotation and shift corrected) Carrington maps created from hand-drawn maps of Meudon archive (available from Solar Survey Archive at Observatoire de Paris: http://bass2000.obspm.fr/lastsynmap.php). The Meudon archive consists of grayscale images for Carrington rotation 876-1823 and coloured images for Carrington rotation 1824-2008. Missing rotations include {993, 1033, 1044, 1186, 1275, 1851-1930}. We have used an automated method (described in our paper: https://arxiv.org/pdf/2106.04320.pdf) to calibrate these maps and utilised the resulting maps for further studies of solar filaments. Each calibrated map is in the Carrington longitude (x) vs latitude (y) grid and covers 360 degrees along x and 180 degrees along y. We are making these calibrated maps public now and can be used for any further studies only after citing our paper Mazumder et al 2021. @misc{mazumder2021solar, title={Solar Cycle Evolution of Filaments over a Century: Investigations with the Meudon and McIntosh Hand-drawn Archives}, author={Rakesh Mazumder and Subhamoy Chatterjee and Dibyendu Nandy and Dipankar Banerjee}, year={2021}, eprint={2106.04320}, archivePrefix={arXiv}, primaryClass={astro-ph.SR} }
DOI: 10.5281/zenodo.4895113
title: VLASS Epoch 1 Catalogs

description: <strong>PyBDSF and SExtractor detection catalogs for the VLA Sky Survey (VLASS)</strong> Stroh, M. C., Terreran, G., Coppejans, D., Bright, J. and Margutti, R. All authors currently at:<br> Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), 1800 Sherman Ave, 8th Floor, Evanston, IL 60201, USA<br> Department of Physics and Astronomy, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, USA Corresponding author:<br> Stroh, M. C. - michael.stroh@northwestern.edu <br> General notes about the files:<br> These files were created using the epochs 1.1 and 1.2 quicklook files for the VLA Sky Survey (VLASS, Lacy et al. 2020). Original files are saved in a csv format, and have been subsequently compressed. The columns from each file are defined from PyBDSF (Mohan & Rafferty 2015) or Source Extractor (SExtractor, Bertin & Arnouts 1996) output with the file name appended to each row. Files are ordered by VLASS file name, then by the detection ID defined by PyBDSF or SExtractor. Included files:<br> 1) vlass_epoch1_pybdsf_gaussian.csv.gz Contains gaussian fits to detections in the VLASS epoch 1 Quick Look images using PyBDSF. These gaussians may be combined into sources in vlass_epoch1_pybdsf_source.csv.gz. 2) vlass_epoch1_pybdsf_source.csv.gz Contains final source lists from PyBDSF from the VLASS epoch 1 Quick Look images after gaussians have been combined. 3) vlass_epoch1_sextractor.csv.gz Contains detections from SExtractor in the VLASS epoch 1 Quick Look images. Please refer to Stroh et al. (2021) for information on how PyBDSF and SExtractor were run to create these files.<br> For more information about specific columns, please refer to Mohan & Rafferty (2015) or Bertin & Arnouts (1996). If using this catalog for publications, please cite Stroh et al. (2021).
description: {"references": ["Lacy, M., Baum, S. A., Chandler, C. J., et al. 2020, PASP, 132, 035001, doi: 10.1088/1538-3873/ab63eb", "Mohan, N., & Rafferty, D. 2015, PyBDSF: Python BlobDetection and Source Finder. http://ascl.net/1502.007", "Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393,doi: 10.1051/aas:1996164"]}
DOI: 10.5281/zenodo.4895112
title: VLASS Epoch 1 Catalogs

description: <strong>PyBDSF and SExtractor detection catalogs for the VLA Sky Survey (VLASS)</strong> Stroh, M. C., Terreran, G., Coppejans, D., Bright, J. and Margutti, R. All authors currently at:<br> Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), 1800 Sherman Ave, 8th Floor, Evanston, IL 60201, USA<br> Department of Physics and Astronomy, Northwestern University, 2145 Sheridan Road, Evanston, IL 60208, USA Corresponding author:<br> Stroh, M. C. - michael.stroh@northwestern.edu <br> General notes about the files:<br> These files were created using the epochs 1.1 and 1.2 quicklook files for the VLA Sky Survey (VLASS, Lacy et al. 2020). Original files are saved in a csv format, and have been subsequently compressed. The columns from each file are defined from PyBDSF (Mohan & Rafferty 2015) or Source Extractor (SExtractor, Bertin & Arnouts 1996) output with the file name appended to each row. Files are ordered by VLASS file name, then by the detection ID defined by PyBDSF or SExtractor. Included files:<br> 1) vlass_epoch1_pybdsf_gaussian.csv.gz Contains gaussian fits to detections in the VLASS epoch 1 Quick Look images using PyBDSF. These gaussians may be combined into sources in vlass_epoch1_pybdsf_source.csv.gz. 2) vlass_epoch1_pybdsf_source.csv.gz Contains final source lists from PyBDSF from the VLASS epoch 1 Quick Look images after gaussians have been combined. 3) vlass_epoch1_sextractor.csv.gz Contains detections from SExtractor in the VLASS epoch 1 Quick Look images. Please refer to Stroh et al. (2021) for information on how PyBDSF and SExtractor were run to create these files.<br> For more information about specific columns, please refer to Mohan & Rafferty (2015) or Bertin & Arnouts (1996). If using this catalog for publications, please cite Stroh et al. (2021).
description: {"references": ["Lacy, M., Baum, S. A., Chandler, C. J., et al. 2020, PASP, 132, 035001, doi: 10.1088/1538-3873/ab63eb", "Mohan, N., & Rafferty, D. 2015, PyBDSF: Python BlobDetection and Source Finder. http://ascl.net/1502.007", "Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393,doi: 10.1051/aas:1996164"]}
DOI: 10.6073/pasta/dcc63925275628f44400560ef6faa3a1
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-11. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-11 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/0abff74931e7bae1c6048e02c81735d3
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-11. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-11 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/d04300904d62af0d2eed0be6680308a6
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-11 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-11 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.18112/openneuro.ds003345.v1.0.2
title: PenaltyKik.02
DOI: 10.6073/pasta/e7f26f9c7f100f5444aad04de0f0d002
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.5281/zenodo.4918314
title: Compilation of Published Paleostress Data for Late Cretaceous-Paleocene Inversion Tectonics in Western-Central Europe

description: Compilation of published Late Cretaceous-Paleogene paleostress data listing the direction of the maximum horizontal stress (σ<sub>Hmax</sub>) from fault-slip inversion or horizontal stylolite teeth, the location (in geographical coordinates) and the reference.
description: Data set is a supplement to Stephan, T., Kroner, U., Köhler, S., Koehn, D., Stollhofen, H.: Large-scale Stress Deflection Along the Lithospheric Structural Inheritance of Western-Central Europe – currently under review in JGR: Solid Earth
DOI: 10.5281/zenodo.4918313
title: Compilation of Published Paleostress Data for Late Cretaceous-Paleocene Inversion Tectonics in Western-Central Europe

description: Compilation of published Late Cretaceous-Paleogene paleostress data listing the direction of the maximum horizontal stress (σ<sub>Hmax</sub>) from fault-slip inversion or horizontal stylolite teeth, the location (in geographical coordinates) and the reference.
description: Data set is a supplement to Stephan, T., Kroner, U., Köhler, S., Koehn, D., Stollhofen, H.: Large-scale Stress Deflection Along the Lithospheric Structural Inheritance of Western-Central Europe – currently under review in JGR: Solid Earth
DOI: 10.25386/genetics.14751975.v1
title: Supplemental Material for Gonzalez, Tang, and Lin, 2021

description: Supplementary Methods (scripts 1-3), Supplementary Figures 1-11, Supplementary Tables 1-5, and Regrant Table.
DOI: 10.25386/genetics.14751975
title: Supplemental Material for Gonzalez, Tang, and Lin, 2021

description: Supplementary Methods (scripts 1-3), Supplementary Figures 1-11, Supplementary Tables 1-5, and Regrant Table.
DOI: 10.5281/zenodo.4918244
title: Canadian Bioinformatics Workshop 2021 - Cancer Analysis - Module 7 - single cell RNA

description: Seven glioblastoma datasets from Richards et al 2021 (Nature Cancer) used in the authors Figure 7, are provided here as raw UMI count matrices (cell barcodes vs. genes) in MTX format. Also code to run a scRNA-seq analysis using those files and cell-level metadata.
DOI: 10.5281/zenodo.4876817
title: Canadian Bioinformatics Workshop 2021 - Cancer Analysis - Module 7 - single cell RNA

description: Seven glioblastoma datasets from Richards et al 2021 (Nature Cancer) used in the authors Figure 7, are provided here as raw UMI count matrices (cell barcodes vs. genes) in MTX format. Also code to run a scRNA-seq analysis using those files and cell-level metadata.
DOI: 10.6073/pasta/8a37f5544e877980d03507bec4b55164
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-12 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.