cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bwzs0
title: CCDC 2171853: Experimental Crystal Structure Determination

description: Related Article: Pedro De Jesús Cruz, Jeffrey S. Johnson|2022|J.Am.Chem.Soc.|144|15803|doi:10.1021/jacs.2c06669
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.cc2c1ljk
title: CCDC 2176278: Experimental Crystal Structure Determination

description: Related Article: Xinyuan Cai, Xia Song, Qiuhui Zhu, Xinying Zhang, Xuesen Fan|2022|J.Org.Chem.|87|11048|doi:10.1021/acs.joc.2c01312
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.cc2c1m79
title: CCDC 2176300: Experimental Crystal Structure Determination

description: Related Article: Xinyuan Cai, Xia Song, Qiuhui Zhu, Xinying Zhang, Xuesen Fan|2022|J.Org.Chem.|87|11048|doi:10.1021/acs.joc.2c01312
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.cc2b7mlt
title: CCDC 2152286: Experimental Crystal Structure Determination

description: Related Article: Michal Aman, Libor Dostál, Zdeňka Růžičková, Jan Turek, Roman Jambor|2022|Organometallics|41|2327|doi:10.1021/acs.organomet.2c00293
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.cc2b7mqy
title: CCDC 2152290: Experimental Crystal Structure Determination

description: Related Article: Michal Aman, Libor Dostál, Zdeňka Růžičková, Jan Turek, Roman Jambor|2022|Organometallics|41|2327|doi:10.1021/acs.organomet.2c00293
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.cc2d0cjb
title: CCDC 2204891: Experimental Crystal Structure Determination

description: Related Article: Chung-Wei Wu, Nuzhat Parveen, Ganesh Popat Pawar, Chung-Ming Sun, Ruey-Hwang Chou and Chin Yu|2022|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.20832001.v1
title: Zeus-GameOver-synthetic-dataset

description: The repository contains a synthetic Zeus GameOver dataset generated in a testbed. This is a compressed file containing the Zeus GameOver botnet traffic flow simulation. A Zeus bot software was created by studying the characteristics of Zeus GameOver from technical reports "ZeuS-P2P monitoring and analysis", by CERT Polska, published in June 2013 (https://www.cert.pl/en/uploads/2015/12/2013-06-p2p-rap_en.pdf), as well as "An analysis of the Zeus peer-to-peer protocol" by Dennis Andriesse and Herbert Bos, technical report, VU University Amsterdam, The Netherlands, April 2014 (URL:https://syssec.mistakenot.net/papers/zeus-tech-report-2013.pdf). A testbed has been set up with 101 virtual hosts. Each host has a piece of bot software installed. The bots then communicate with one another. The network traffic was captured for 24 hours. tcpdump tool is used to capture the raw trafffic. The captured traffic is then used to generate netflow records using the nprobe tool. The source and destination IP addresses are then extracted from the resulting flow dataset. The dataset uploaded here is a text file. The file contains the communication information of the bot nodes. It has two fields: source IP address and destination IP address
DOI: 10.6073/pasta/b9dece1fd31b7bfa3f0f24ba2679636c
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 8 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-8 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/d039631bbd4b152c6117f3e98a2bdda0
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 8 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-8 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-8 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: 10.6084/m9.figshare.20832001
title: Zeus-GameOver-synthetic-dataset

description: The repository contains a synthetic Zeus GameOver dataset generated in a testbed. This is a compressed file containing the Zeus GameOver botnet traffic flow simulation. A Zeus bot software was created by studying the characteristics of Zeus GameOver from technical reports "ZeuS-P2P monitoring and analysis", by CERT Polska, published in June 2013 (https://www.cert.pl/en/uploads/2015/12/2013-06-p2p-rap_en.pdf), as well as "An analysis of the Zeus peer-to-peer protocol" by Dennis Andriesse and Herbert Bos, technical report, VU University Amsterdam, The Netherlands, April 2014 (URL:https://syssec.mistakenot.net/papers/zeus-tech-report-2013.pdf). A testbed has been set up with 101 virtual hosts. Each host has a piece of bot software installed. The bots then communicate with one another. The network traffic was captured for 24 hours. tcpdump tool is used to capture the raw trafffic. The captured traffic is then used to generate netflow records using the nprobe tool. The source and destination IP addresses are then extracted from the resulting flow dataset. The dataset uploaded here is a text file. The file contains the communication information of the bot nodes. It has two fields: source IP address and destination IP address
DOI: 10.6084/m9.figshare.20832001.v2
title: Zeus-GameOver-synthetic-dataset

description: The repository contains a synthetic Zeus GameOver dataset generated in a testbed. This is a compressed file containing the Zeus GameOver botnet traffic flow simulation. A Zeus bot software was created by studying the characteristics of Zeus GameOver from technical reports "ZeuS-P2P monitoring and analysis", by CERT Polska, published in June 2013 (https://www.cert.pl/en/uploads/2015/12/2013-06-p2p-rap_en.pdf), as well as "An analysis of the Zeus peer-to-peer protocol" by Dennis Andriesse and Herbert Bos, technical report, VU University Amsterdam, The Netherlands, April 2014 (URL:https://syssec.mistakenot.net/papers/zeus-tech-report-2013.pdf). A testbed has been set up with 101 virtual hosts. Each host has a piece of bot software installed. The bots then communicate with one another. The network traffic was captured for 24 hours. tcpdump tool is used to capture the raw trafffic. The captured traffic is then used to generate netflow records using the nprobe tool. The source and destination IP addresses are then extracted from the resulting flow dataset. The dataset uploaded here is a text file. The file contains the communication information of the bot nodes. It has two fields: source IP address and destination IP address
DOI: 10.6073/pasta/190832f6089d4bac802c5f1385aadcf6
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 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: 10.6084/m9.figshare.20765488
title: Downscaling Gridded Rainfall using SRGAN

description: This repository contains codes and supporting data for the article 'Generating Perceptually Realistic High-resolution Rainfall Maps using Deep Learning-based Generative Adversarial Network'. All the files are kept in a compressed folder. To uncompress, use the following command in terminal: tar zxvf SRGAN_Downscaler.tar.gz <br>
DOI: 10.6084/m9.figshare.20765488.v4
title: Downscaling Gridded Rainfall using SRGAN

description: This repository contains codes and supporting data for the article 'Generating Perceptually Realistic High-resolution Rainfall Maps using Deep Learning-based Generative Adversarial Network'. All the files are kept in a compressed folder. To uncompress, use the following command in terminal: tar zxvf SRGAN_Downscaler.tar.gz <br>
DOI: 10.6084/m9.figshare.20765488.v3
title: Downscaling Gridded Rainfall using SRGAN

description: This repository contains codes and supporting data for the article 'Generating Perceptually Realistic High-resolution Rainfall Maps using Deep Learning-based Generative Adversarial Network'. <br> All the files are kept in a compressed folder. To uncompress, use the following command in terminal: <br> tar zxvf SRGAN_Downscaler.tar.gz <br>
DOI: 10.6084/m9.figshare.20180825
title: Sea Surface Salinity Forecast in the Tropical Pacific Ocean during ENSO Events

description: <strong>Data introduction</strong> <strong>1.</strong> <strong>Sea surface salinity training dataset </strong> Source: European Space Agency Area: 100°W~180°W, 11°S~11°N (Eastern Tropical Pacific Ocean ) Period: 2010~2014 Quantity: 1748 samples File Format: NPY Spatial resolution: 50 km (112*312 grids) Note:The training dataset are rescaled from [30.8, 36.9] to [−1, 1] pss and there are 6 sets of data in total. <strong>2.</strong> <strong>Sea surface salinity test dataset</strong> Source: European Space Agency Period: 2015, 03, 02~2019,12,31, daily Quantity: 1762 samples Note: The test dataset maintains the original data range to validate the DNN forecast results File Format: NPY <strong>3.</strong> <strong>DNN forecast dataset</strong> Source: forecast by DNN model Period: 2015, 03, 02~2019,12,31, daily Quantity: 1762 samples File Format: NPY <strong>4.</strong> <strong>33-day signals at 5°S bands</strong> Source: OSTIA, European Space Agency,DNN forecast (see the <em>GRL </em>paper for details) Period: 2015, 03, 02~2019,12,31, daily File Format: NPY <strong>5.</strong> <strong>The Index comparison</strong> Source: NOAA, KNMI Climate Explorer, European Space Agency, DNN forecast(see the <em>GRL </em>paper for details) Area: 170°W~120°W, 5°N~5°S Period: 2015, 03, 02~2019,12,31, daily,monthly File Format: NPY
DOI: 10.6084/m9.figshare.20180825.v4
title: Sea Surface Salinity Forecast in the Tropical Pacific Ocean during ENSO Events

description: <strong>Data introduction</strong> <strong>1.</strong> <strong>Sea surface salinity training dataset </strong> Source: European Space Agency Area: 100°W~180°W, 11°S~11°N (Eastern Tropical Pacific Ocean ) Period: 2010~2014 Quantity: 1748 samples File Format: NPY Spatial resolution: 50 km (112*312 grids) Note:The training dataset are rescaled from [30.8, 36.9] to [−1, 1] pss and there are 6 sets of data in total. <strong>2.</strong> <strong>Sea surface salinity test dataset</strong> Source: European Space Agency Period: 2015, 03, 02~2019,12,31, daily Quantity: 1762 samples Note: The test dataset maintains the original data range to validate the DNN forecast results File Format: NPY <strong>3.</strong> <strong>DNN forecast dataset</strong> Source: forecast by DNN model Period: 2015, 03, 02~2019,12,31, daily Quantity: 1762 samples File Format: NPY <strong>4.</strong> <strong>33-day signals at 5°S bands</strong> Source: OSTIA, European Space Agency,DNN forecast (see the <em>GRL </em>paper for details) Period: 2015, 03, 02~2019,12,31, daily File Format: NPY <strong>5.</strong> <strong>The Index comparison</strong> Source: NOAA, KNMI Climate Explorer, European Space Agency, DNN forecast(see the <em>GRL </em>paper for details) Area: 170°W~120°W, 5°N~5°S Period: 2015, 03, 02~2019,12,31, daily,monthly File Format: NPY
DOI: 10.6084/m9.figshare.20180825.v3
title: Sea Surface Salinity Forecast in the Tropical Pacific Ocean during ENSO Events

description: <strong>Data introduction</strong> <strong>1.</strong> <strong>Sea surface salinity training dataset </strong> Source: European Space Agency Area: 100°W~180°W, 11°S~11°N (Eastern Tropical Pacific Ocean ) Period: 2010~2014 Quantity: 1748 samples File Format: NPY Spatial resolution: 50 km (112*312 grids) Note:The training dataset are rescaled from [30.8, 36.9] to [−1, 1] pss and there are 6 sets of data in total. <strong>2.</strong> <strong>Sea surface salinity test dataset</strong> Source: European Space Agency Period: 2015, 03, 02~2019,12,31, daily Quantity: 1762 samples Note: The test dataset maintains the original data range to validate the DNN forecast results File Format: NPY <strong>3.</strong> <strong>DNN forecast dataset</strong> Source: forecast by DNN model Period: 2015, 03, 02~2019,12,31, daily Quantity: 1762 samples File Format: NPY <strong>4.</strong> <strong>33-day signals at 5°S bands</strong> Source: OSTIA, European Space Agency,DNN forecast (see the <em>GRL </em>paper for details) Period: 2015, 03, 02~2019,12,31, daily File Format: NPY <strong>5.</strong> <strong>The Index comparison</strong> Source: NOAA, KNMI Climate Explorer, European Space Agency, DNN forecast(see the <em>GRL </em>paper for details) Area: 170°W~120°W, 5°N~5°S Period: 2015, 03, 02~2019,12,31, daily,monthly File Format: NPY
DOI: 10.6073/pasta/afd50b9e1828a9f308a5ab5a18202dfb
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 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-9 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: 10.5281/zenodo.7045662
title: List of intron retention associated variants from Sequence Read Archive

description: List of intron retention associated variants via IRAVNet applied to 219,615 transcriptome sequence data from Sequence Read Archive
DOI: 10.5281/zenodo.7045663
title: List of intron retention associated variants from Sequence Read Archive

description: List of intron retention associated variants via IRAVNet applied to 219,615 transcriptome sequence data from Sequence Read Archive
DOI: 10.6073/pasta/4f9059a7add3325485f616e7db219d4a
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 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-9 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: 10.5281/zenodo.7014096
title: pdbbind-v2020

description: PDBbind-v2020 dataset reprocessed with Protein Preparation Wizard module in Schrodinger
DOI: 10.5281/zenodo.7014095
title: pdbbind-v2020

description: PDBbind-v2020 dataset reprocessed with Protein Preparation Wizard module in Schrodinger
DOI: 10.6084/m9.figshare.20844184
title: Data: Voice search in United States digital media outlets. Use of the "speakable" markup

description: This dataset explores how U.S. digital media outlets use the "speakable" semantic markup for voice search. Its use is intended to attract informational content to Google Assistant and Google Home devices, while it is also considered a necessary strategy for voice search optimization (VSO). The analysis of the use of this markup is limited to 50 U.S. media outlets because it is currently only implemented in this geographic area. In this study, 372,000 news items were analyzed with the SEO tool Screaming Frog.
DOI: 10.6084/m9.figshare.20844184.v1
title: Data: Voice search in United States digital media outlets. Use of the "speakable" markup

description: This dataset explores how U.S. digital media outlets use the "speakable" semantic markup for voice search. Its use is intended to attract informational content to Google Assistant and Google Home devices, while it is also considered a necessary strategy for voice search optimization (VSO). The analysis of the use of this markup is limited to 50 U.S. media outlets because it is currently only implemented in this geographic area. In this study, 372,000 news items were analyzed with the SEO tool Screaming Frog.
DOI: 10.6073/pasta/d754032326f44af324e1e1ce969b43a6
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-9. 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-9 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/4723245bd7e167c48625b61ef1000217
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 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-9. 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-9 site. This is an ONGOING dataset.