cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12749333.v1
title: Kinase Ontology

description: This is the Map folder directory that contains the mapping file for predictor-specific kinase names to common names.<br>This contains one file globalKinaseMap.csv with one row per unique kinase and column names:Kinase Name - suggested unique kinase ontology namePreferred Name - use this column to change the plotting/printing of specific kinase families as desiredUniprotID - the Uniprot identifier of the kinaseType - either serine/threonine (Pkinase), tyrosine (Pkinase_tyr) or dual specificity (Pkinase/Pkinase_tyr)description - name of kinaseGPS_kinase_name - name used in GPSNetworKIN_kinase_name - name used in NetworKINPhosphoPICK_kinase_name - name used in PhosphoPICK
DOI: 10.6084/m9.figshare.12749324
title: Final Data - Matrix of kinase/substrate edge weights by predictor

description: This will unzip the Final Data folder for KinPred v1.0, the final matrix-based files, by prediction algorith type, of kinase-substrate relationships and their edge weights.<br>In each folder for a prediction algorithm is a final csv data file. This matrix has substrates by row and kinase names by columns. The substrate and kinase names are based on the controlled ontology set in KinPred. The matrix entry (i,j) is the edge weight predicted for substrate i and kinase j.
DOI: 10.6084/m9.figshare.13143455
title: VAMB Benchmark Results

description: Output of VAMB on the benchmark datasets: CAMI2: Airways, GI, Oral, Skin, Urog and the MetaHIT dataset. Each folder contains:<br>- clusters.tsv: Clustername and contigname- tnf.npz: Tetranucleotide Frequency information for each contig in Numpy npz format- latent.npz: Latent representation of each contig in Numpy npz format- mask.npz: Contig mask, ie. if contigs should not be used in encoding in Numpy npz format- model.pt: Final VAE model in PyTorch- log.txt: Logfile of the run containing information on settings, loss and clustering- lengths.npz: Length of each contig in Numpy npz format<br>
DOI: 10.6084/m9.figshare.13143476
title: Near Complete Bins Almeida Abundance table

description: Abundance estimation of VAMB clusters generated by VAMB on the Almeida et al., (Nature 2019) benchmark dataset. <br>The file is a tab-separated file containing abundance of clusters x samples. The file is not used per se in the manuscript but is provided for reference.
DOI: 10.6084/m9.figshare.13143476.v1
title: Near Complete Bins Almeida Abundance table

description: Abundance estimation of VAMB clusters generated by VAMB on the Almeida et al., (Nature 2019) benchmark dataset. <br>The file is a tab-separated file containing abundance of clusters x samples. The file is not used per se in the manuscript but is provided for reference.
DOI: 10.6084/m9.figshare.13221743
title: Near Complete Bins Almeida dataset part E

description: Near Complete bacterial genomes produced by VAMB from the Almeida et al., (Nature, 2019) benchmark dataset (1,000 human gut microbiome samples). This is part 5 of 5
DOI: 10.6084/m9.figshare.13221743.v1
title: Near Complete Bins Almeida dataset part E

description: Near Complete bacterial genomes produced by VAMB from the Almeida et al., (Nature, 2019) benchmark dataset (1,000 human gut microbiome samples). This is part 5 of 5
DOI: 10.6084/m9.figshare.13221701
title: Near Complete Bins Almeida dataset part C

description: Near Complete bacterial genomes produced by VAMB from the Almeida et al., (Nature, 2019) benchmark dataset (1,000 human gut microbiome samples). This is part 3 of 5<br>
DOI: 10.6084/m9.figshare.13221701.v1
title: Near Complete Bins Almeida dataset part C

description: Near Complete bacterial genomes produced by VAMB from the Almeida et al., (Nature, 2019) benchmark dataset (1,000 human gut microbiome samples). This is part 3 of 5<br>
DOI: 10.6084/m9.figshare.13221680
title: Near Complete Bins Almeida dataset part B

description: Near Complete bacterial genomes produced by VAMB from the Almeida et al., (Nature, 2019) benchmark dataset (1,000 human gut microbiome samples). This is part 2 of 5
DOI: 10.6084/m9.figshare.13221680.v1
title: Near Complete Bins Almeida dataset part B

description: Near Complete bacterial genomes produced by VAMB from the Almeida et al., (Nature, 2019) benchmark dataset (1,000 human gut microbiome samples). This is part 2 of 5
DOI: 10.6084/m9.figshare.13221674
title: Near Complete Bins Almeida dataset part A

description: Near Complete bacterial genomes produced by VAMB from the Almeida et al., (Nature, 2019) benchmark dataset (1,000 human gut microbiome samples). This is part 1 of 5
DOI: 10.6084/m9.figshare.13221716.v1
title: Near Complete Bins Almeida dataset part D

description: Near Complete bacterial genomes produced by VAMB from the Almeida et al., (Nature, 2019) benchmark dataset (1,000 human gut microbiome samples). This is part 4 of 5
DOI: 10.6084/m9.figshare.13221716
title: Near Complete Bins Almeida dataset part D

description: Near Complete bacterial genomes produced by VAMB from the Almeida et al., (Nature, 2019) benchmark dataset (1,000 human gut microbiome samples). This is part 4 of 5
DOI: 10.5281/zenodo.4267888
title: Meteorology, environment and surface flux data for grassland sites in Germany

description: Observation and model data for locations Fendt (DE-Fen), Rottenbuch (DE-RbW) and Graswang (DE-Gwg), in conjunction with selected journal publications. These data have primarily been used for investigation of surface carbon fluxes (Net Ecosystem Exchange, Gross Primary Productivity), seasonal climatic trends and land management. The sites are part of TERENO, a network of observatories in Germany. The TERENO Data Portal should provide other and more up-to-date information. The time period includes the ScaleX intensive observation campaigns that took place in 2015 and 2016. The data format is NetCDF4. A Jupyter notebook is available (see Related identifiers, GitLab) with technical notes and examples.
DOI: 10.25573/data.10042610.v6
title: Culebra_Air Temperature

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Temperature, interval max/min/avg<br>
DOI: 10.25573/data.10042598.v6
title: Culebra_Relative Humidity

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Relative Humidity, interval max/min/avg<br>
DOI: 10.25573/data.10042586.v6
title: Culebra_Precipitation

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Precipitation, interval total
DOI: 10.25573/data.10042604.v6
title: Culebra_Solar Radiation, Pyranometer

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Solar Radiation (Pyranometer), interval max/min/avg<br>
DOI: 10.25573/data.10042622.v6
title: Culebra_Wind Direction

description: Punta Culebra Nature Center meteorological station. Established in 2002. <br>Location: 8.910718°N, -79.528919°<br>Wind Direction, interval mean vector, standard deviation<br>
DOI: 10.25573/data.10042637.v6
title: Galeta_Water Temperature

description: Galeta Island marine laboratory. below Pier Tower <br>Location: 9.402742°, -79.860837°<br>Water Temperature, interval average<br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042664.v6
title: Galeta_Precipitation

description: Galeta Island marine laboratory. <br>Location: 9.402742°, -79.860837°Location of gauge has change, but is currently located on the pier tower<br><br>Precipitation, interval total<br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.5519/qd.o7mv0407
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (32490 records)
DOI: 10.25573/data.10042658.v6
title: Galeta_Wind Speed

description: Galeta Island marine laboratory. <br>Two sensors: pier tower and outer reef<br>Location: 9.402742°, -79.860837°<br>Wind Speed, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042625.v6
title: Galeta_Air Temperature

description: Galeta Island marine laboratory. Pier Tower<br>Location: 9.402742°, -79.860837°<br>Air Temperature, interval max/min/avg<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.25573/data.10042640.v6
title: Galeta_Wind Direction

description: Galeta Island marine laboratory. Pier Tower and ReefTwo sensors: pier tower and pylon on outer reef<br>Location: 9.402742°, -79.860837°<br>Wind direction, Interval mean vector and standard deviation<br><br>Galeta Island Marine Laboratory physical monitoring station established in 1974<br>Galeta station is located 6 km North East of the city of Colon. Established in the 1960’s.
DOI: 10.5281/zenodo.4266157
title: Continuous multi-sensor wearable data and daily subject-reported fatigue of heathy adults

description: Fatigue is a broad, multifactorial concept encompassing feelings of reduced physical and mental energy levels. Fatigue strongly impacts health-related quality of life across a huge range of conditions, yet, to date, tools available to understand fatigue are limited. We collected a total of 28 healthy adult subjects and 973 recording days. Recorded data included continuous multimodal wearable sensor time series on physical activity, vital signs, and other physiological parameters at 1-minute temporal resolution, and daily questionnaires (patient-reported outcome scores, PROs) on fatigue. When matching both sensor data and PROs, the datasets contains data from 27 subjects and 405 recording days. Analysis of these multimodal digital data to inform, quantify, and augment subjectively captured non-pathological fatigue measures were published at <em>Luo H., et. al. (2020), Assessment of Fatigue Using Wearable Sensors: A Pilot Study. Digit Biomark</em>. Demographics, sensor parameters and other information on this dataset can be found in the aforementioned manuscript and related supplementary material. Files included are <em>fatiguePROs.csv</em>: daily PROs for all subjects subjectID_*.csv: sensor time series for each subject
description: {"references": ["Luo H., et al. (2020). Assessment of Fatigue using Wearable Sensors: A Pilot Study. Digit Biomark"]}
DOI: 10.5281/zenodo.4266156
title: Continuous multi-sensor wearable data and daily subject-reported fatigue of heathy adults

description: Fatigue is a broad, multifactorial concept encompassing feelings of reduced physical and mental energy levels. Fatigue strongly impacts health-related quality of life across a huge range of conditions, yet, to date, tools available to understand fatigue are limited. We collected a total of 28 healthy adult subjects and 973 recording days. Recorded data included continuous multimodal wearable sensor time series on physical activity, vital signs, and other physiological parameters at 1-minute temporal resolution, and daily questionnaires (patient-reported outcome scores, PROs) on fatigue. When matching both sensor data and PROs, the datasets contains data from 27 subjects and 405 recording days. Analysis of these multimodal digital data to inform, quantify, and augment subjectively captured non-pathological fatigue measures were published at <em>Luo H., et. al. (2020), Assessment of Fatigue Using Wearable Sensors: A Pilot Study. Digit Biomark</em>. Demographics, sensor parameters and other information on this dataset can be found in the aforementioned manuscript and related supplementary material. Files included are <em>fatiguePROs.csv</em>: daily PROs for all subjects subjectID_*.csv: sensor time series for each subject
description: {"references": ["Luo H., et al. (2020). Assessment of Fatigue using Wearable Sensors: A Pilot Study. Digit Biomark"]}
DOI: 10.25573/data.10042673.v4
title: Parque Metropolitano Crane, Top_Solar Radiation, Pyranometer

description: Parque Natural Metropolitano (PNM) crane station. <br>Two sensors: Front and Back<br>Location: 8.994410°, - 79.543000°<br>Solar Radiation, Pyranometer, Interval max/min/avg<br><br>Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The crane is 42 meters tall. <br><br>The original station was located on the side of the tower at approximately 20m. Some sensors were later moved to the top of the tower.<br>
DOI: 10.25573/data.10042676.v4
title: Parque Metropolitano Crane_Precipitation

description: Parque Natural Metropolitano (PNM) crane station. <br>Location: 8.994410°, - 79.543000°<br>Precipitation, Interval total precipitation<br><br>Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The crane is 42 meters tall. <br><br>The original station was located on the side of the tower at approximately 25m. The gauge was moved from the 25m station to the top of the tower in 2009<br>
DOI: 10.15468/mezd9q
title: Description of a new vespertilionine bat from Yucatan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Allen, J. A. (1929): Description of a new vespertilionine bat from Yucatan. Bulltetin of the American Museum of Natural History 9 (19): 231-232, DOI: http://doi.org/10.5281/zenodo.4268248, Hdl: http://hdl.handle.net/2246/758
DOI: 10.25573/data.10042718.v6
title: San Lorenzo Crane_Wind direction

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Interval mean wind vector<br><br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.25573/data.10042670.v6
title: San Lorenzo Crane_Solar Radiation, Pyranometer

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Solar Radiation, Pyranometer, interval max/min/avg<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.25573/data.10042679.v6
title: San Lorenzo Crane_Precipitation

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Precipitation, interval total<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.25573/data.10042694.v6
title: San Lorenzo Crane_Air Temperature

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Air temperature, interval max/min/avg<br><br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.25573/data.10042688.v6
title: San Lorenzo Crane_Wind Speed

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Wind speed, interval max/min/avg<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.25573/data.10042691.v6
title: San Lorenzo Crane_Relative Humidity

description: San Lorenzo (Formerly know as Fort Sherman) Canopy Access Crane. <br><br>Relative humidity, interval max/min/avg<br>Established in 1997, the San Lorenzo canopy crane (9.281031°, -79.974518°) is located approximately 11 km South West from the city of Colon, in the middle the Parque Natural San Lorenzo (formerly known as Fort Sherman) and is surrounded by 300-year old, low-land tropical rainforest
DOI: 10.21227/ykpg-w209
title: Model4.6

description: KNN euclidean. Same jan
DOI: 10.7284/138558
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK200429 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138566
title: Expendable Probe data collected during research cruise FK200429 using a Turo Quoll instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138567
title: Fluorometer data collected during research cruise FK200429 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138568
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK200429 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138569
title: Gyrocompass data collected during research cruise FK200429 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138554
title: INS (Inertial Navigation System) data collected during research cruise FK200429 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138557
title: INS (Inertial Navigation System) data collected during research cruise FK200429 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138570
title: INS (Inertial Navigation System) data collected during research cruise FK200429 using a Kongsberg Seapath 320 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138555
title: Meteorological Station data collected during research cruise FK200429 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138556
title: Meteorological Station data collected during research cruise FK200429 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138572
title: Meteorological Station data collected during research cruise FK200429 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138552
title: pH data collected during research cruise FK200429 using a SUNBURST SAMI-pH instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138551
title: Radiometer data collected during research cruise FK200429 using a Eppley RAD instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138576
title: Radiometer data collected during research cruise FK200429 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138577
title: Radiometer data collected during research cruise FK200429 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138553
title: Speedlog data collected during research cruise FK200429 using a SKIPPER EML244 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138574
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK200429 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138575
title: TSG (Thermosalinograph) data collected during research cruise FK200429 using a Sea-Bird SBE-45 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5519/qd.hj7dmkkj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25345/c5dv17
title: MassIVE MSV000086436 - GNPS Euglena fungi bacteria mix grown on S/W Bi extracted with EtOAC
title: GNPS Euglena fungi bacteria mix grown on S/W Bi extracted with EtOAC
DOI: 10.5281/zenodo.3749866
title: Mangrove diversity loss under sea-level rise triggered by bio-morphodynamic feedbacks and anthropogenic pressures

description: To whom concerned, This dataset is the supplementary dataset for the publication in <em>Environmental Research Letters</em> entitled '<em>Mangrove diversity loss under sea-level rise triggered by bio-morphodynamic feedbacks and anthropogenic pressures</em>' authored by Danghan Xie, et al. in 2020. The publication can be freely downloaded here: https://iopscience.iop.org/article/10.1088/1748-9326/abc122. The dataset consists of both model results and corresponding codes that one can easily reproduce figures either in the manuscript or the supplementary document. To use the code, one needs to pre-install the Matlab (R2017a) and changes the pre-set route (in the code) to the directory where the dataset is stored. The figure shapes may vary with the size of the user's monitor so output figures may be either squeezed or extended in unpredictable ways, but the window size of the figure can be adjusted to match the shape and the results will not be affected. The author is appreciated that any potential concerns or questions regarding our research from any party or person, so please contact me through the email: d.xie@uu.nl or xiedanghan@gmail.com. To know more about my research, you can also follow the ResearchGate. With Kind Regards, Danghan 11th of November, 2020
description: {"references": ["Xie, D., Schwarz, C., Br\u00fcckner, M. Z. M., Kleinhans, M. G., Urrego, D. H., Zhou, Z., and van Maanen, B. (2020), Mangrove diversity loss under sea-level rise triggered by bio-morphodynamic feedbacks and anthropogenic pressures, Environmental Research Letters, 15(11), 114033."]}