cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8000992
title: Longitudinal transport of suspended sediment in the Modaomen Estuary of the Pearl River: effects of river, tide, and mouth bar: Datasets

description: <strong>This dataset supplements the article: Longitudinal transport of suspended sediment in the Modaomen </strong><strong>E</strong><strong>stuary of the Pearl River: effects of river, tide, and mouth bar, submitted to Marine Geology</strong> Contact information: Dr. Liu, F., School of Ocean Engineering and Technology, Sun Yat-sen University, Guangzhou, 510275, China. Email: liuf53@mail.sysu.edu.cn (Liu, Feng) <strong><em>Brief view of the dataset</em></strong> Hydrodynamics, suspended sediment concentration and salinity distribution were measured at three fixed stations along the longitudinal direction of the estuary. The stations were located at Guadingjiao (M1), inside the bar (M2), and outside the bar (M3), and sampling was simultaneously conducted at neap tide (NT) from July 31 to August 1 and spring tide (ST) from August 8 to August 9 in 2017. All observation data has been compiled to include data from the surface to the bottom six layers within 26 hours. This directory contains the following datasets. <strong>M10731.xlsx: </strong>Current velocity, current direction, salinity and SSC during neap tide at Station M1 <strong>M10808.xlsx: </strong>Current velocity, current direction, salinity and SSC during spring tide at Station M1 <strong>M20731.xlsx: </strong>Current velocity, current direction, salinity and SSC during neap tide at Station M2 <strong>M20808.xlsx: </strong>Current velocity, current direction, salinity and SSC during spring tide at Station M2 <strong>M30731.xlsx: </strong>Current velocity, current direction, salinity and SSC during neap tide at Station M3 <strong>M30808.xlsx: </strong>Current velocity, current direction, salinity and SSC during spring tide at Station M3
DOI: 10.5281/zenodo.8000991
title: Longitudinal transport of suspended sediment in the Modaomen Estuary of the Pearl River: effects of river, tide, and mouth bar: Datasets

description: <strong>This dataset supplements the article: Longitudinal transport of suspended sediment in the Modaomen </strong><strong>E</strong><strong>stuary of the Pearl River: effects of river, tide, and mouth bar, submitted to Marine Geology</strong> Contact information: Dr. Liu, F., School of Ocean Engineering and Technology, Sun Yat-sen University, Guangzhou, 510275, China. Email: liuf53@mail.sysu.edu.cn (Liu, Feng) <strong><em>Brief view of the dataset</em></strong> Hydrodynamics, suspended sediment concentration and salinity distribution were measured at three fixed stations along the longitudinal direction of the estuary. The stations were located at Guadingjiao (M1), inside the bar (M2), and outside the bar (M3), and sampling was simultaneously conducted at neap tide (NT) from July 31 to August 1 and spring tide (ST) from August 8 to August 9 in 2017. All observation data has been compiled to include data from the surface to the bottom six layers within 26 hours. This directory contains the following datasets. <strong>M10731.xlsx: </strong>Current velocity, current direction, salinity and SSC during neap tide at Station M1 <strong>M10808.xlsx: </strong>Current velocity, current direction, salinity and SSC during spring tide at Station M1 <strong>M20731.xlsx: </strong>Current velocity, current direction, salinity and SSC during neap tide at Station M2 <strong>M20808.xlsx: </strong>Current velocity, current direction, salinity and SSC during spring tide at Station M2 <strong>M30731.xlsx: </strong>Current velocity, current direction, salinity and SSC during neap tide at Station M3 <strong>M30808.xlsx: </strong>Current velocity, current direction, salinity and SSC during spring tide at Station M3
DOI: 10.6084/m9.figshare.22140284
title: Strain level Ethiopian chicken caecal MAGs

description: Metagenome asembled genomes (MAGs) constructed from raw data uploaded to bioproject PRJEB57055. MAGs are equivalent to bacterial strains, and were dereplicated at 99% ANI. These strains orginated from the caeca of indigenous Ethiopoian chickens.
DOI: 10.6084/m9.figshare.22154597
title: Supplementary table - MAGs metabolism strain

description: Metabolic information for metagenome asembled genomes (MAGs) constructed from raw data uploaded to bioproject PRJEB57055. MAGs are equivalent to bacterial strains, and were dereplicated at 99% ANI. These strains orginated from the caeca of indigenous Ethiopoian chickens. MAGs were annotated using DRAM (https://github.com/WrightonLabCSU/DRAM).
DOI: 10.6084/m9.figshare.22154627
title: Supplementary table - MAGs metabolism species

description: Metabolic information for metagenome asembled genomes (MAGs) constructed from raw data uploaded to bioproject PRJEB57055. MAGs are equivalent to bacterial species, and were dereplicated at 95% ANI. These species orginated from the caeca of indigenous Ethiopoian chickens. MAGs were annotated using DRAM (https://github.com/WrightonLabCSU/DRAM).
DOI: 10.5281/zenodo.6109825
title: Micro-XCT chondrule classification for subsequent isotope analys

description: Datasets of chondrule samples analyzed for publication " Micro-XCT chondrule classification for subsequent isotope analysis" in Meteoritics & Planetary Science http://dx.doi.org/10.1111/maps.14026
description: This work has been carried out within the framework of the National Centre of Competence in Research PlanetS supported by the Swiss National Science Foundation under grants 200021_L182771/1, 51NF40_182901 and 51NF40_205606.
DOI: 10.5281/zenodo.6109826
title: Micro-XCT chondrule classification for subsequent isotope analys

description: Datasets of chondrule samples analyzed for publication " Micro-XCT chondrule classification for subsequent isotope analysis" in Meteoritics & Planetary Science http://dx.doi.org/10.1111/maps.14026
description: This work has been carried out within the framework of the National Centre of Competence in Research PlanetS supported by the Swiss National Science Foundation under grants 200021_L182771/1, 51NF40_182901 and 51NF40_205606.
DOI: 10.6073/pasta/49ea250be6e14b8c9c170d187d8d798b
title: Jornada Basin LTER: Wireless meteorological station at NPP M-RABB site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP M-RABB 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-NORT 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/bf311a9736073e532e4a8c03c71fc77d
title: Jornada Basin LTER: Wireless meteorological station at NPP M-RABB site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP M-RABB 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 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: 10.6073/pasta/3c558685fa77d4f37005409c52e3ea59
title: Jornada Basin LTER: Wireless meteorological station at NPP M-RABB site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP M-RABB 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 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.7528178
title: Flux_DATA

description: Platform flux and wave observation.
DOI: 10.5281/zenodo.7528179
title: Flux_DATA

description: Platform flux and wave observation.
DOI: 10.5281/zenodo.8123353
title: Flux_DATA

description: Platform flux and wave observation.
DOI: 10.6073/pasta/976ce1d44d8e92439601f2881b417f68
title: Jornada Basin LTER: Wireless meteorological station at NPP M-RABB site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP M-RABB met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP M-RABB site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.5285/6d65b406-237c-425d-9356-39b77ac30e85
title: High-resolution floe size distribution of Arctic sea ice 2000-2014

description: This dataset contains the floe size distribution (FSD) data derived from high-resolution satellite imagery data acquired at two fixed locations in the Arctic Ocean. Satellite imagery data include MEDEA images and WorldView images. These satellite images have a spatial resolution of 1 m or higher, thus providing the FSD information, especially for small floes. The derived data contain floe size (calliper diameter), shape factor, minor/major axis, perimeter and area of the floes. This dataset has been used to evaluate the sea ice models with the FSD parameterisations. The retrieval of the FSD data was done by the University of Huddersfield team. This work was funded by NERC standard grant NE/R000654/1 and NERC MOSAiC program NE/S002545/1.
description: The FSD data were derived from high-resolution satellite imagery data (MEDEA and Worldview). For MEDEA images, the original images were cropped to remove the areas with clouds and missing data. The cropped images were then used to derive the FSD. For WorldView images, panchromatic images were used to derive the FSD. The floe size distribution was derived from those images using the algorithm described in Hwang et al. (2017).
description: Characteristics of satellite imagery data used to derive the data set are described below. MEDEA: 1-m resolution visible (panchromatic) satellite imagery from the USGS Global Fiducials Library (GFL) (https://glf.usgs.gov), declassified by the MEDEA group. WorldView: A commercial satellite by Digital Globe (https://www.digitalglobe.com). The FSD data was derived from panchromatic images of WorldView-1 (WV1) and WorldView-2 (WV2).
description: The data quality was checked by manual inspection for each imagery data. It should be noted that some of the small floes can be erroneous due to noises or internal variations within the images. However, no minimum threshold for the smallest detectable floes was set for this dataset (i.e., the smallest floe equals one image pixel). This is to provide flexibility for the users to determine the minimum threshold for the smallest detectable floes. For instance, in a model evaluation study, the minimum threshold was set to be 30 m (i.e., the floes small than 30 m in diameter were discarded from the analysis).
DOI: 10.6084/m9.figshare.23641134
title: Data Augmentation

description: Deep Learning Approach for Detecting and Identifying Self-Admitted Technical Debt
DOI: 10.6084/m9.figshare.23641134.v1
title: Data Augmentation

description: Deep Learning Approach for Detecting and Identifying Self-Admitted Technical Debt
DOI: 10.5281/zenodo.8123396
title: Harmonised LUCAS database classified by crop sequence type

description: Assessing the benefits of crop diversification – a pillar of the agroecological transition – on a large scale requires a description of current crop sequences as a baseline, which is lacking at the scale of the European Union (EU). This work is based on the Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union (doi: 10.2905/f85907ae-d123-471f-a44a-8cca993485a2) to fill this gap, We completed this dataset with a crop sequence type information for each point under non-perennial agricultural land cover in 2012, 2015 and 2018. The dataset lucas_classified.csv includes 31 159 points. Variables "point_id", "nuts0", "nuts2", "th_lat", "th_long", "LC1_2012", "LC1_2015", "LC1_2018" are inherited from the Harmonised LUCAS databse. Variables "cereals", "corn", "rapeseed", "sunflower", "pulses", "rootCrops", "forageLeg", "grassland" correspond to the temporal frequencies of respectively cereals, corn, rapeseed, sunflower, pulses, root crops, forage legumes and grassland within the 2012, 2015 and 2018 crop sequence for each point. Variable "crop_sequence_type" is the crop sequence type assigned to each point, among eight options: cereals, corn and cereals, forage legumes and cereals, pulses and cereals, rapeseed and cereals, root crops and cereals, sunflower and cereals, temporary grasslands. This dataset could be used to map current dominant crop sequences in the European Union, as illustrated in the map attached, and to assess the benefits of future crop diversification.
DOI: 10.5281/zenodo.8123405
title: Data augmentation

description: Data augmentation
DOI: 10.5281/zenodo.8123404
title: Data augmentation

description: Data augmentation
DOI: 10.34740/kaggle/dsv/6093661
title: AutoXGB
DOI: 10.5517/ccdc.csd.cc2fdvrg
title: CCDC 2246686: Experimental Crystal Structure Determination

description: Related Article: Thibault Alle, Sipak Joyasawal, Killian Oukoloff, Keith Long, Zachary Owyang, Karol R. Francisco, Dominique Cahard, Donna M. Huryn, Carlo Ballatore|2023|Bioorg.Med.Chem.Lett.|91|129363|doi:10.1016/j.bmcl.2023.129363
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: 10.17029/2d0c1082-e106-4d69-b85e-9422d315462b
title: Dataset for 'Belief in Animal Sentience and Affective Owner Attitudes are linked to Positive Working Equid Welfare across Six Countries. '

description: Raw data generated from equid welfare assessments and owner questionnaires corresponding to the paper ‘Belief in Animal Sentience and Affective Owner attitudes are linked to Positive Working Equid Welfare across Six Countries’. Each variable is labelled and data are provided for 378 equid/owner pairs.
DOI: 10.6073/pasta/cfae467676b2b087761ac0ead3b748af
title: Jornada Basin LTER: Wireless meteorological station at NPP M-WELL site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP M-WELL met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. 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: 10.5258/soton/d2307
title: Dataset supporting a PhD Thesis "Long-term monitoring of persons with spinal cord injury (sci): implication for pressure ulcer development"

description: Dataset supporting a PhD Thesis "Long-term monitoring of persons with spinal cord injury (sci): implication for pressure ulcer development". The data includes patient ID, ASIA score, level of spinal cord injury, predicted time and frequency of bed and chair movements, observed time and frequency of bed and chair movements. Two timepoints are described, separated by tabs. 1. Inpatient rehabilitation (timepoint 1) 2. Community monitoring after hospital discharge (timepoint 2). Licence: CC-BY license Related projects/Funders: Salisbury NHS Foundation Trust, Engineering and Physical Sciences Research Council.
DOI: 10.6073/pasta/1572ef8c865bf56eacbcf922a2a9a1b6
title: Jornada Basin LTER: Wireless meteorological station at NPP M-WELL site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP M-WELL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP M-WELL site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6073/pasta/d07aac6ff480c6633b8fbbebfb278faf
title: Jornada Basin LTER: Wireless meteorological station at NPP M-WELL site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP M-WELL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP M-WELL site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.23537370
title: Code to arquitecture pattern dataset

description: Dataset used to train a pre trained LLM in code to categorize cloud architecture pattern in infrastructure as code projects
DOI: 10.25442/hku.23585262
title: Supporting data for 'Impact of child-centered play therapy intervention on children with ASD as reflected by brain EEG activity'

description: Phrase I data contains 98 participants with EEG alpha power data from 2 activities (sand-playing and story -listening) under 3 conditions (parent, stranger, alone) <br> Phrase II data contains 34 participants from experimental group and 31 from waitlist group. 2 sets of data: EEG alpha power data and behavioral measurement before during intake and outtake session. EEG alpha power data from 2 activities (sand-playing and story-listening) under 3 conditions (parent, stranger, alone). Behavioral measurement: SRS-2; AQ-child (social subscales); ABAS-II (social domain)
DOI: 10.25442/hku.23585262.v1
title: Supporting data for 'Impact of child-centered play therapy intervention on children with ASD as reflected by brain EEG activity'

description: Phrase I data contains 98 participants with EEG alpha power data from 2 activities (sand-playing and story -listening) under 3 conditions (parent, stranger, alone) <br> Phrase II data contains 34 participants from experimental group and 31 from waitlist group. 2 sets of data: EEG alpha power data and behavioral measurement before during intake and outtake session. EEG alpha power data from 2 activities (sand-playing and story-listening) under 3 conditions (parent, stranger, alone). Behavioral measurement: SRS-2; AQ-child (social subscales); ABAS-II (social domain)
DOI: 10.25442/hku.22786169.v1
title: Supporting data for GENOMICS AND DEEP LEARNING GUIDED DISCOVERY OF RIBOSOMAL PEPTIDE BIOSYNTHETIC GENES: FROM MINING TO DESIGN

description: This dataset contains all useful data from 3 studies of my thesis. <br> The first study, Chapter II of my thesis, uses a correlational network method to find unclustered proteases of lanthipeptides. Files from "ChapterII supplementary data.xlsx" to "Figure2.15_cytoscape.zip" are supplementary tables and source data for figures, while "correlational-network-v1.0.zip", "23777967_protease_cluster.csv.xz", and "23777967_protease.fasta.xz" are the source code and data to reproduce the network analysis. <br> The second study, Chapter III of my thesis, uses a deep learning approach to distinguish and classify RiPP precursors from other peptides. "ChapterIII supplementary data.xlsx" contains the supplementary tables including training data, model performance and predicted RiPP precursors, etc., while "TrRiPP.zip" contains the source code and trained model of the deep learning approach. <br> The third study, Chapter IV of my thesis, uses deep learning models to predict the precursors of given RiPP-modifying enzymes and also to generate novel RiPP-modifying enzymes. "ChapterIV supplementary data.xlsx" contains the supplementary tables including training data, model performance and generatedRiPP-modifying enzymes and precursors, etc., while " BGCDesign.zip" contains the source code of the deep learning models.
DOI: 10.25442/hku.22786169
title: Supporting data for GENOMICS AND DEEP LEARNING GUIDED DISCOVERY OF RIBOSOMAL PEPTIDE BIOSYNTHETIC GENES: FROM MINING TO DESIGN

description: This dataset contains all useful data from 3 studies of my thesis. <br> The first study, Chapter II of my thesis, uses a correlational network method to find unclustered proteases of lanthipeptides. Files from "ChapterII supplementary data.xlsx" to "Figure2.15_cytoscape.zip" are supplementary tables and source data for figures, while "correlational-network-v1.0.zip", "23777967_protease_cluster.csv.xz", and "23777967_protease.fasta.xz" are the source code and data to reproduce the network analysis. <br> The second study, Chapter III of my thesis, uses a deep learning approach to distinguish and classify RiPP precursors from other peptides. "ChapterIII supplementary data.xlsx" contains the supplementary tables including training data, model performance and predicted RiPP precursors, etc., while "TrRiPP.zip" contains the source code and trained model of the deep learning approach. <br> The third study, Chapter IV of my thesis, uses deep learning models to predict the precursors of given RiPP-modifying enzymes and also to generate novel RiPP-modifying enzymes. "ChapterIV supplementary data.xlsx" contains the supplementary tables including training data, model performance and generatedRiPP-modifying enzymes and precursors, etc., while " BGCDesign.zip" contains the source code of the deep learning models.
DOI: 10.5281/zenodo.8123515
title: Copilote translations - ANR project AT2TA

description: Copilote translations - ANR project AT2TA
DOI: 10.5281/zenodo.8123514
title: Copilote translations - ANR project AT2TA

description: Copilote translations - ANR project AT2TA