cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6519051
title: Vibration and IMU Sensing Human Activity Dataset

description: This dataset contains fine-grained human daily activity data collected by infrastructure vibration sensors and one on-wrist IMU sensor. This dataset is collected from six persons from two domestic homes, in total, there are 12 sub-datasets. For the naming, "p" means person and "l" means location. Each dataset has 11 columns, 1o of them stands for sensors' reading. * Due to the uploading platform, please<strong> <em>ignore</em> </strong>all files in the folder '__MACOSX', and files whose names start with '._'. These are computer system files, not parts of the shared dataset. ** If you are going to use this dataset for any publications, we will appreciate you to cite this dataset properly. ************************************************************ The following content is copied from README.txt in the compressed folder: -----------------------<br> Labels: Keyboard typing 1<br> Using mouse 2<br> Handwriting 3<br> Cutting vegetables 4<br> Stir-frying vegetables 5<br> Wiping the table 6<br> Sweeping floor 7<br> Using vacuum to vacuum floor: 8<br> Open and close drawer: 9 None Activity: 10 -----------------------<br> 11 Columns:<br> 1: Activity label<br> 2: Vibration sensor put on the Living Area floor<br> 3: Vibration sensor put on the Living Area table<br> 4: Vibration sensor put on the Studying Area floor<br> 5: Vibration sensor put on the Studying Area desk<br> 6, 7, 8: Accelerometer X,Y,Z<br> 9, 10, 11: Gyroscope X,Y,Z -----------------------<br> All signals are zero-meaned.<br> The vibration sensors' sampling rate is roughly around 6500Hz, and the IMU sensors' original sampling rate is roughly around 235Hz. ************************************************************ New in Version 2: - Added extracted features from IMU data and vibration data for reference. - IMU signal is applied with a sliding window of 1.5 seconds with 0.75 seconds overlapping, then the feature is extracted in each window. The feature's description can be found here: https://dl.acm.org/doi/abs/10.1145/3410530.3414320 - The vibration signal is applied with event detection to extract events in the vibration signal. For each event, we normalize it by its energy, then extract 10~490 Hz frequency amplitude as the feature. Disclaimer: Both event detection and feature extraction are empirical, we don't guarantee it is an optimal one.
DOI: 10.5281/zenodo.8019818
title: Theoretical synthesis datasets of submarine cable magnetic anomalies.

description: Theoretical synthesis datasets of submarine cable magnetic anomalies, including training, validation and testing, for end-to-end deep learning. A total of 140000 samples and its coresponding labels.
DOI: 10.5281/zenodo.8019817
title: Theoretical synthesis datasets of submarine cable magnetic anomalies.

description: Theoretical synthesis datasets of submarine cable magnetic anomalies, including training, validation and testing, for end-to-end deep learning. A total of 140000 samples and its coresponding labels.
DOI: 10.6073/pasta/347b9def84d3d05545be3b9c86a5e5c3
title: Jornada Basin LTER: Wireless meteorological station at NPP M-RABB site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP M-RABB met station. Average air temperature, relative humidity, wind speed, wind direction, and solar radiation are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP M-RABB site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.8118882
title: Supplementary Tables - Re-analysis of hepatitis B virus integration sites reveals potential new loci associated with oncogenesis in hepatocellular carcinoma

description: ------------------------------------------------------------ <strong>Supplementary Tables</strong> supplementary_table.xlsx T2T-CHM13_human T2T-CHM13_hbv GRCh38_human GRCh38_hbv GRCh_human_annotation meta ------------------------------------------------------------ <strong>Re-analysis of hepatitis B virus integration sites reveals potential new loci associated with oncogenesis in hepatocellular carcinoma</strong><br> https://doi.org/10.5501/wjv.v12.i3.209<br> <strong>BACKGROUND</strong> Hepatitis B virus (HBV) is a major cause of hepatocellular carcinoma (HCC). HBV DNA can get integrated into the hepatocyte genome to promote carcinogenesis. However, the precise mechanism by which the integrated HBV genome promotes HCC has not been elucidated. <strong>AIM</strong> To analyze the features of HBV integration in HCC using a new reference database and integration detection method. <strong>METHODS</strong> Published data, consisting of 426 Liver tumor samples and 426 paired adjacent non-tumor samples, were re-analyzed to identify the integration sites. Genome Reference Consortium Human Build 38 (GRCh38) and Telomere-to-Telomere Consortium CHM13 (T2T-CHM13 (v2.0)) were used as the human reference genomes. In contrast, human genome 19 (hg19) was used in the original study. In addition, GRIDSS VIRUSBreakend was used to detect HBV integration sites, whereas high-throughput viral integration detection (HIVID) was applied in the original study (HIVID-hg19). <strong>RESULTS</strong> A total of 5361 integration sites were detected using T2T-CHM13. In the tumor samples, integration hotspots in the cancer driver genes, such as TERT and KMT2B, were consistent with those in the original study. GRIDSS VIRUSBreakend detected integrations in more samples than by HIVID-hg19. Enrichment of integration was observed at chromosome 11q13.3, including the CCND1 pro-moter, in tumor samples. Recurrent integration sites were observed in mitochondrial genes. <strong>CONCLUSION</strong> GRIDSS VIRUSBreakend using T2T-CHM13 is accurate and sensitive in detecting HBV integration. Re-analysis provides new insights into the regions of HBV integration and their potential roles in HCC development.
description: {"references": ["Zhao, L-H. et al. Genomic and oncogenic preference of HBV integration in hepatocellular carcinoma. Nat. Commun. 7, 12992 doi: 10.1038/ncomms12992 (2016)."]}
DOI: 10.5281/zenodo.8118881
title: Supplementary Tables - Re-analysis of hepatitis B virus integration sites reveals potential new loci associated with oncogenesis in hepatocellular carcinoma

description: ------------------------------------------------------------ <strong>Supplementary Tables</strong> supplementary_table.xlsx T2T-CHM13_human T2T-CHM13_hbv GRCh38_human GRCh38_hbv GRCh_human_annotation meta ------------------------------------------------------------ <strong>Re-analysis of hepatitis B virus integration sites reveals potential new loci associated with oncogenesis in hepatocellular carcinoma</strong><br> https://doi.org/10.5501/wjv.v12.i3.209<br> <strong>BACKGROUND</strong> Hepatitis B virus (HBV) is a major cause of hepatocellular carcinoma (HCC). HBV DNA can get integrated into the hepatocyte genome to promote carcinogenesis. However, the precise mechanism by which the integrated HBV genome promotes HCC has not been elucidated. <strong>AIM</strong> To analyze the features of HBV integration in HCC using a new reference database and integration detection method. <strong>METHODS</strong> Published data, consisting of 426 Liver tumor samples and 426 paired adjacent non-tumor samples, were re-analyzed to identify the integration sites. Genome Reference Consortium Human Build 38 (GRCh38) and Telomere-to-Telomere Consortium CHM13 (T2T-CHM13 (v2.0)) were used as the human reference genomes. In contrast, human genome 19 (hg19) was used in the original study. In addition, GRIDSS VIRUSBreakend was used to detect HBV integration sites, whereas high-throughput viral integration detection (HIVID) was applied in the original study (HIVID-hg19). <strong>RESULTS</strong> A total of 5361 integration sites were detected using T2T-CHM13. In the tumor samples, integration hotspots in the cancer driver genes, such as TERT and KMT2B, were consistent with those in the original study. GRIDSS VIRUSBreakend detected integrations in more samples than by HIVID-hg19. Enrichment of integration was observed at chromosome 11q13.3, including the CCND1 pro-moter, in tumor samples. Recurrent integration sites were observed in mitochondrial genes. <strong>CONCLUSION</strong> GRIDSS VIRUSBreakend using T2T-CHM13 is accurate and sensitive in detecting HBV integration. Re-analysis provides new insights into the regions of HBV integration and their potential roles in HCC development.
description: {"references": ["Zhao, L-H. et al. Genomic and oncogenic preference of HBV integration in hepatocellular carcinoma. Nat. Commun. 7, 12992 doi: 10.1038/ncomms12992 (2016)."]}
DOI: 10.34740/kaggle/dsv/6092075
title: Pypi sython pandaerror handling
DOI: 10.5281/zenodo.8122614
title: Synthetic noisy datasets for submarine cable magnetic anomaly locaition

description: Synthetic noisy datasets for submarine cable magnetic anomaly locaition, including a training, a validation and two test data sets.
DOI: 10.5281/zenodo.8122613
title: Synthetic noisy datasets for submarine cable magnetic anomaly locaition

description: Synthetic noisy datasets for submarine cable magnetic anomaly locaition, including a training, a validation and two test data sets.
DOI: 10.6073/pasta/ddabd48d8fe7eafc362569f07967cb3b
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP C-SAND met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/19dcc01cf72e74da5b1ec01076e886bc
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP C-SAND met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed; solar radiation; albedo. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/68704d57620d32a031495f952ccd0d45
title: Jornada Basin LTER: Wireless meteorological station at NPP C-SAND site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP C-SAND met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction; solar radiation; albedo. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-SAND site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5517/ccdc.csd.cc2flzdf
title: CCDC 2252565: Experimental Crystal Structure Determination

description: Related Article: Xueshu Li, Hans-Joachim Lehmler, Sean Parkin|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.cc2fm62c
title: CCDC 2252772: Experimental Crystal Structure Determination

description: Related Article: Zhikuan Zhou|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.cc2fm63d
title: CCDC 2252773: Experimental Crystal Structure Determination

description: Related Article: Zhikuan Zhou|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.19633404.v21
title: Code snippet suggestions for exploratory programming - User study

description: This dataset contains participant notebooks, scripts for analysis, study instruments and pilot study results.
DOI: 10.6084/m9.figshare.23636175
title: The structural basis of the divalent cation blocking on tetrameric cation channel

description: The data for Fig2f, Fig5a, SupFig.2-6. MD simulation source data.
DOI: 10.6084/m9.figshare.23636175.v1
title: The structural basis of the divalent cation blocking on tetrameric cation channel

description: The data for Fig2f, Fig5a, SupFig.2-6. MD simulation source data.
DOI: 10.6073/pasta/b872141b6bb4c73d4735dc18b282c3e9
title: Jornada Basin LTER: Wireless meteorological station at NPP M-WELL site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP M-WELL met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP M-WELL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.34740/kaggle/dsv/6091986
title: (Database) Cracks images in mortar coating
DOI: 10.5281/zenodo.8122597
title: Dataset for the paper submitted for peer-review with the title "Quantifying heterotrophic bacteria parameters and dissolved organic carbon biodegradability through oxygen data assimilation in a river water quality model"

description: The proposed dataset is related to the following article submitted for peer review: Hasanyar, M., Flipo, N., Romary, T., Wang, S. (2023), Quantifying heterotrophic bacteria parameters and dissolved organic carbon biodegradability through oxygen data assimilation in a river water quality model, UNDER PEER-REVIEW It consists of command files for the prose-pa0.74 software available here: https://gitlab.com/prose-pa/prose-pa To run the model : 1. Compile prose-pa0.74 2. Copy the executable in the current directory 3. In a terminal launch &gt; ./prose-pa0.74 simulation.COMM test.log The “simulation.COMM” holds the settings for the ProSe-PA simulation related to the paper mentioned in the front head of the current file. The information on different parameters of “simulation.COMM” are included in “bathymetrie”, “Cmds”, “Inflows”, “layers”, “meteo”, “o2_obs”, “param_bio”, “Reaches” and “Singularities” folders. The “bathymetrie” folder holds the geometric information of several cross-sections along the river. The Cmds folder holds the “simulation.COMM” file. The “Inflows” folder the information about the boundary condition inflows to the river such as discharge, concentration of organic carbon, etc. The layer folder holds data of the initial conditions of the model (Table 2 in the article). The “meteo” folder holds the meteorological information. The “o2_obs” folder holds the observed oxygen data needed to do data assimilation. The “param_bio” folder holds information on the physiology of bacteria, phytoplankton, and other model species. The “Reaches” folder holds information about river reaches and their manning coefficient. The “param_range” file holds the variation range of model parameters considered in data assimilation together with their perturbation percentage. The output files are written in $HOME/Outputs folder. It is possible to change it directly in simulation.COMM, last entry “Output_folder”.
DOI: 10.5281/zenodo.8122596
title: Dataset for the paper submitted for peer-review with the title "Quantifying heterotrophic bacteria parameters and dissolved organic carbon biodegradability through oxygen data assimilation in a river water quality model"

description: The proposed dataset is related to the following article submitted for peer review: Hasanyar, M., Flipo, N., Romary, T., Wang, S. (2023), Quantifying heterotrophic bacteria parameters and dissolved organic carbon biodegradability through oxygen data assimilation in a river water quality model, UNDER PEER-REVIEW It consists of command files for the prose-pa0.74 software available here: https://gitlab.com/prose-pa/prose-pa To run the model : 1. Compile prose-pa0.74 2. Copy the executable in the current directory 3. In a terminal launch &gt; ./prose-pa0.74 simulation.COMM test.log The “simulation.COMM” holds the settings for the ProSe-PA simulation related to the paper mentioned in the front head of the current file. The information on different parameters of “simulation.COMM” are included in “bathymetrie”, “Cmds”, “Inflows”, “layers”, “meteo”, “o2_obs”, “param_bio”, “Reaches” and “Singularities” folders. The “bathymetrie” folder holds the geometric information of several cross-sections along the river. The Cmds folder holds the “simulation.COMM” file. The “Inflows” folder the information about the boundary condition inflows to the river such as discharge, concentration of organic carbon, etc. The layer folder holds data of the initial conditions of the model (Table 2 in the article). The “meteo” folder holds the meteorological information. The “o2_obs” folder holds the observed oxygen data needed to do data assimilation. The “param_bio” folder holds information on the physiology of bacteria, phytoplankton, and other model species. The “Reaches” folder holds information about river reaches and their manning coefficient. The “param_range” file holds the variation range of model parameters considered in data assimilation together with their perturbation percentage. The output files are written in $HOME/Outputs folder. It is possible to change it directly in simulation.COMM, last entry “Output_folder”.
DOI: 10.6084/m9.figshare.19633404.v22
title: Code snippet suggestions for exploratory programming - User study

description: This dataset contains participant notebooks, scripts for analysis, study instruments and pilot study results.
DOI: 10.6073/pasta/5ce4782e63ac3c0c8bfde5881d81925f
title: Jornada Basin LTER: Wireless meteorological station at NPP M-WELL site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP M-WELL met station. Average air temperature, relative humidity, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP M-WELL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.23639598
title: Height difference between the coronary ostium and the distal coronary pressure sensor

description: Height difference between the coronary ostium and the distal coronary pressure sensor may affect FFR measurements
DOI: 10.6073/pasta/44985bbf853e59c7b471f4cf60bf0f26
title: Jornada Basin LTER: Wireless meteorological station at NPP M-WELL site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP M-WELL met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP M-WELL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/da3ea1549ce00141fb4bd86ec44b8978
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP P-COLL met station. Average air temperature, relative humidity, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.8122695
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by František Čouka, http://www.wikidata.org/entity/Q71877451. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q71877451
DOI: 10.5281/zenodo.8122694
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by František Čouka, http://www.wikidata.org/entity/Q71877451. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q71877451
DOI: 10.5281/zenodo.8122697
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Antonio de Zulueta, http://www.wikidata.org/entity/Q5700348. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5700348
DOI: 10.5281/zenodo.8122696
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Antonio de Zulueta, http://www.wikidata.org/entity/Q5700348. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5700348
DOI: 10.5281/zenodo.8122701
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jindřich Zapletálek, http://www.wikidata.org/entity/Q74593639. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q74593639