cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8169108
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8177563
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8196168
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8218107
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8242138
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8266396
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8286660
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8312116
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8331578
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8156521
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8352388
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8373246
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8395887
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8417755
title: Trialstreamer database (CSV)

description: We provide up-to-date data indexed by Trialstreamer in CSV format.
description: See https://trialstreamer.ieai.robotreviewer.net/ and https://academic.oup.com/jamia/article/27/12/1903/5907063
DOI: 10.5281/zenodo.8417757
title: Benchmarking Micro2Micro Transformation: An Approach with GNN and VAE

description: This research ventures into the emerging domain of microservice-to-microservice transformation, a novel concept focused on optimizing existing cloud-native systems. We experiment with a machine learning methodology initially designed for monolith-to-microservices migration, adapting it to the complex microservices landscape, with a specific focus on the train-ticket application.
DOI: 10.5281/zenodo.8417756
title: Benchmarking Micro2Micro Transformation: An Approach with GNN and VAE

description: This research ventures into the emerging domain of microservice-to-microservice transformation, a novel concept focused on optimizing existing cloud-native systems. We experiment with a machine learning methodology initially designed for monolith-to-microservices migration, adapting it to the complex microservices landscape, with a specific focus on the train-ticket application.
DOI: 10.5517/ccdc.csd.cc2b8z3q
title: CCDC 2153573: Experimental Crystal Structure Determination

description: Related Article: Anna Kamecka, Andrzej Kapturkiewicz, Sergiu Shova, Kinga Suwińska|2023|Struct.Chem.|34|1641|doi:10.1007/s11224-023-02177-1
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.cc2b8z4r
title: CCDC 2153574: Experimental Crystal Structure Determination

description: Related Article: Anna Kamecka, Andrzej Kapturkiewicz, Sergiu Shova, Kinga Suwińska|2023|Struct.Chem.|34|1641|doi:10.1007/s11224-023-02177-1
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.cc2dgv5x
title: CCDC 2218799: Experimental Crystal Structure Determination

description: Related Article: Ruchika Jaryal, Shamshad Ahmad Khan|2023|BioMetals|36|975|doi:10.1007/s10534-023-00498-6
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.8417768
title: chlorospingus_semifuscus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8417767
title: chlorospingus_semifuscus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6073/pasta/7b63529832f625d43af59c9479a5002e
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-14 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation 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. 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: 10.6073/pasta/823e05e6566ed666182b2d469cff80d1
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-14 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation 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: 10.6073/pasta/e1236353b6a15d53aa88647882365336
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-14 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-14 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: 10.5517/ccdc.csd.cc2g2gst
title: CCDC 2266496: Experimental Crystal Structure Determination

description: Related Article: Kris Antolinc, Helena Brodnik, Uroš Grošelj, Bogdan Štefane, Nejc Petek, Jurij Svete
|2023|J.Org.Chem.|88|13934|doi:10.1021/acs.joc.3c01517
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: 10.34740/kaggle/dsv/6634552
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.6073/pasta/11c8e3c744c487d31adb5bb7f34fad32
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 15 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, wind direction, and precipitation 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.8417777
title: cinnycerthia_olivascens_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8417776
title: cinnycerthia_olivascens_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8412337
title: Sea level rise along China coast from 1950 to 2020 (datasets)

description: this dataset contain the reconstructed sea level changes along China coast from 1950-2022;<br> the file name consists of two parts: PSMSL + ID;<br> PSMSL means Permanent Service for Mean Sea Level (https://psmsl.org/);<br> the ID is assigned by PSMSL to the tide gauges, users can find more information on the tide gauges from PSMSL website;<br> Each file contains five columns data:<br> first column: time year<br> second column: tide gauge records<br> third column: the reconstructed sea level<br> fourth column: the upper bound<br> fifth column: the lower bound<br> more details can be found in the following paper:<br> Dapeng Mu, Tianhe Xu, Haoming Yan, 2023. Sea level rise along China coast from 1950-2020, Science China-Earth Sciences<br> Any questions can be addressed to: mdp321@126.com or mdp@sdu.edu.cn
DOI: 10.5281/zenodo.8412336
title: Sea level rise along China coast from 1950 to 2020 (datasets)

description: this dataset contain the reconstructed sea level changes along China coast from 1950-2022;<br> the file name consists of two parts: PSMSL + ID;<br> PSMSL means Permanent Service for Mean Sea Level (https://psmsl.org/);<br> the ID is assigned by PSMSL to the tide gauges, users can find more information on the tide gauges from PSMSL website;<br> Each file contains five columns data:<br> first column: time year<br> second column: tide gauge records<br> third column: the reconstructed sea level<br> fourth column: the upper bound<br> fifth column: the lower bound<br> more details can be found in the following paper:<br> Dapeng Mu, Tianhe Xu, Haoming Yan, 2023. Sea level rise along China coast from 1950-2020, Science China-Earth Sciences<br> Any questions can be addressed to: mdp321@126.com or mdp@sdu.edu.cn
DOI: 10.34740/kaggle/dsv/6634576
title: BBC News
DOI: 10.6073/pasta/a9cc8ea742f6e1886f838ab4b7e0d6d2
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 1 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-1. 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-1 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/ebf7223c28aff1b4182c7e009c15f5b2
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 2 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-2 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-2 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.8003336
title: Data release for "Identifying LISA verification binaries among the Galactic population of double white dwarfs"

description: Posterior samples and SNR calculations associated with <em>Identifying LISA verification binaries among the Galactic population of double white dwarfs</em> (arxiv:2210.10812, MNRAS, 522, 5358 (2023)). The <code>data</code> folder contains the following: <code>vb_table</code>: Verification binary (VB) candidate properties obtained from electromagnetic (EM) observations. This data was compiled by Kupfer et al. and is available at https://gitlab.in2p3.fr/LISA/lisa-verification-binaries (accessed on 2022 September 2). Used in Table 1. <code>snr</code>: SNR calculations for each VB candidate as a function of mission duration. Used in Figure 2. <code>basic</code>: Gravitational-wave (GW) parameter estimation study of each VB candidate. Used in Table 2 and Figure 3. <code>detection_time</code>: VB SNR calculations with source property (and LISA launch time) uncertainty taken into account. Used in Figure 1 and Figure 4. <code>em_priors</code>: GW parameter estimation study with EM information included in the priors. Used in Figure 5. <code>unknown_noise</code>: GW parameter estimation study with the inclusion of noise parameters to vary the PSD. Used in Figure 6. <code>filtered_populations</code>: Source properties of DWDs nearby in frequency to each VB candidate. See the <code>confused_sources.ipynb</code> notebook. Used in Figure 7. <code>confusion_snr</code>: SNR calculations of the above confusion sources. Used in Figure 7. <code>confusion</code>: A analysis of V803Cen with a realistic Galactic population of DWDs included in the data. Used in Figure 8. Code to reproduce every figure from the paper is available in <code>plots</code>. Supplementary notebooks associated with the generation of a realistic data instance (i.e. including a simulated Galactic population of DWDs nearby in frequency to V803Cen) can be found in <code>notebooks</code>.
DOI: 10.5281/zenodo.7211349
title: Data release for "Identifying LISA verification binaries among the Galactic population of double white dwarfs"

description: Posterior samples and SNR calculations associated with <em>Identifying LISA verification binaries among the Galactic population of double white dwarfs</em> (arxiv:2210.10812, MNRAS, 522, 5358 (2023)). The <code>data</code> folder contains the following: <code>vb_table</code>: Verification binary (VB) candidate properties obtained from electromagnetic (EM) observations. This data was compiled by Kupfer et al. and is available at https://gitlab.in2p3.fr/LISA/lisa-verification-binaries (accessed on 2022 September 2). Used in Table 1. <code>snr</code>: SNR calculations for each VB candidate as a function of mission duration. Used in Figure 2. <code>basic</code>: Gravitational-wave (GW) parameter estimation study of each VB candidate. Used in Table 2 and Figure 3. <code>detection_time</code>: VB SNR calculations with source property (and LISA launch time) uncertainty taken into account. Used in Figure 1 and Figure 4. <code>em_priors</code>: GW parameter estimation study with EM information included in the priors. Used in Figure 5. <code>unknown_noise</code>: GW parameter estimation study with the inclusion of noise parameters to vary the PSD. Used in Figure 6. <code>filtered_populations</code>: Source properties of DWDs nearby in frequency to each VB candidate. See the <code>confused_sources.ipynb</code> notebook. Used in Figure 7. <code>confusion_snr</code>: SNR calculations of the above confusion sources. Used in Figure 7. <code>confusion</code>: A analysis of V803Cen with a realistic Galactic population of DWDs included in the data. Used in Figure 8. Code to reproduce every figure from the paper is available in <code>plots</code>. Supplementary notebooks associated with the generation of a realistic data instance (i.e. including a simulated Galactic population of DWDs nearby in frequency to V803Cen) can be found in <code>notebooks</code>.
DOI: 10.6073/pasta/13d0085a7764a7cd4686cfc5a5b2a93c
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 4 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, wind direction, and precipitation 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.8417782
title: Magnetic storm effects on the occurrence and characteristics of plasma bubbles

description: This supporting information provides two datasets that contain information about all the storms that occurred from 2008 to 2014, as well as storms with available PRE (Pre-Reversal Enhancement) and plasma bubble occurrence data during those years. The datasets include the start and end times of the initial, main, and recovery phases (both first and second half) of the detected storms. Additionally, the datasets contain the minimum and maximum SYM-H index attained during each storm, the intensity of the storms classified as follows: (1) Intense (SYM-H<sub>min</sub> &lt; -100 nT), (2) Moderate (-100 ≤ SYM-H<sub>min </sub>&lt; -50 nT), and (3) Weak (-50 ≤ SYM-H<sub>min</sub> &lt; -30 nT), and the overall duration of the storm, among other relevant parameters.This supporting information provides two datasets that contain information about all the storms that occurred from 2008 to 2014, as well as storms with available PRE (Pre-Reversal Enhancement) and plasma bubble occurrence data during those years. The datasets include the start and end times of the initial, main, and recovery phases (both first and second half) of the detected storms. Additionally, the datasets contain the minimum and maximum SYM-H index attained during each storm, the intensity of the storms classified as follows: (1) Intense (SYM-H<sub>min</sub> &lt; -100 nT), (2) Moderate (-100 ≤ SYM-H<sub>min </sub>&lt; -50 nT), and (3) Weak (-50 ≤ SYM-H<sub>min</sub> &lt; -30 nT), and the overall duration of the storm, among other relevant parameters.