cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9096afb
title: Concentrations of Pesticide, Pharmaceutical, and Organic Wastewater Contaminants from a Multi-Regional Assessment of Wadeable USA Streams, 2014-17

description: Human-use pharmaceutical, pesticide, and wastewater indicator compounds were analyzed at the U.S. Geological Survey, National Water Quality Laboratory, Denver, Colorado, in wadeable streams in 4 Regional Stream Quality Assessments: Northeast (NESQA), Southeast (SESQA), Pacific Northwest (PNSQA) and California (CSQA). Multiple (with few exceptions) samplings occurred at each site, during base flow, between 2014 and 2017. Sites were located in the headwaters of perennial, wadeable streams in urban and agricultural watersheds. Site selection and methodology for each assessment can be found in Van Meter and others (2015), Sheibley and others (2015), Van Meter and others (2017), Coles and others (2016), Van Meter and others (2016), Journey and others (2015), and Van Meter and others (2014). Additional results for this study can be found in Bradley and others, 2020 and Mahler and others, 2020. See cross-reference section for full citation information.
DOI: 10.6084/m9.figshare.12678497
title: Data used to generate glucose normalized galactose growth-rate

description: Data used to generate the glucose normalized galactose growth rate data for the budding yeast.
DOI: 10.6084/m9.figshare.12678497.v1
title: Data used to generate glucose normalized galactose growth-rate

description: Data used to generate the glucose normalized galactose growth rate data for the budding yeast.
DOI: 10.6084/m9.figshare.12678482
title: Thiamine biosynthesis gene annotations

description: Budding yeast annotations and codon optimization values for the budding yeast Thiamine biosynthesis genes.
DOI: 10.6084/m9.figshare.12678482.v1
title: Thiamine biosynthesis gene annotations

description: Budding yeast annotations and codon optimization values for the budding yeast Thiamine biosynthesis genes.
DOI: 10.6084/m9.figshare.12678476
title: GAL gene annotations and codon optimization values

description: Gene annotations and codon optimization values for the budding yeast <i>GAL </i>genes.
DOI: 10.6084/m9.figshare.12678476.v1
title: GAL gene annotations and codon optimization values

description: Gene annotations and codon optimization values for the budding yeast <i>GAL </i>genes.
DOI: 10.6084/m9.figshare.12678473.v1
title: Gene annotations used to build HMM profiles

description: Reference gene annotations for the budding yeast <i>GAL </i>and thiamine biosynthesis pathways that were used for annotation of 332 species.
DOI: 10.6084/m9.figshare.12678473
title: Gene annotations used to build HMM profiles

description: Reference gene annotations for the budding yeast <i>GAL </i>and thiamine biosynthesis pathways that were used for annotation of 332 species.
DOI: 10.34740/kaggle/dsv/1959614
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25345/c5n504
title: MassIVE MSV000086916 - Crosslinking of XcpHI of T2SS
title: The type IV filament superfamily comprises widespread membrane-associated polymers in prokaryotes. The Type II secretion system (T2SS), a virulence pathway in many pathogens, belongs to this superfamily. A knowledge gap in understanding of the T2SS is the molecular role of a small pseudopilin protein. Using multiple biophysical techniques, we have deciphered how this missing component of the Xcp T2SS architecture is structurally integrated, and thereby unlocked its function. We demonstrate that low abundance XcpH is the adapter that bridges a trimeric initiating tip complex XcpIJK with a periplasmic filament of XcpG subunits. This data set, which contains the XL-MS data, constitues only a part of the full study.
DOI: 10.7284/139337
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise NBP1701 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139344
title: GNSS (Global Navigation Satellite System) data collected during research cruise NBP1701 using a Furuno GP-330B instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139345
title: Gyrocompass data collected during research cruise NBP1701 using a Yokogawa CMZ700B instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139343
title: INS (Inertial Navigation System) data collected during research cruise NBP1701 using a Kongsberg Seapath 330+ instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139349
title: Singlebeam Echosounder data collected during research cruise NBP1701 using a Knudsen 3260 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139355
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise NBP1702 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139362
title: GNSS (Global Navigation Satellite System) data collected during research cruise NBP1702 using a Furuno GP-330B instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139363
title: Gyrocompass data collected during research cruise NBP1702 using a Yokogawa CMZ700B instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139350
title: INS (Inertial Navigation System) data collected during research cruise NBP1702 using a Kongsberg Seapath 200 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139361
title: INS (Inertial Navigation System) data collected during research cruise NBP1702 using a Kongsberg Seapath 330+ instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.13574378.v2
title: Glacier names

description: This dataset contains a list of glacier names in various languages all in lowercase but with retained punctuation. Note that old, alternative, and error-some spellings are intentionally included.<br><br><b>Biases</b><br>The current version of this dataset contains almost only western European languages.<br><b>Creation</b><b><br></b>This dataset was created for the Glaciers in Archives (glaciersinarchives.org) project and the names have mainly been sourced from Wikidata, and Europeana but also include names found in other cultural heritage aggregators as well manually added names.<br><b>Exclusion</b><br>Some Glacier names have been explicitly excluded most commonly because they are the same as common words. For example "first" from First Glacier is excluded. The list of explicitly excluded names is available in blocklist.txt.
DOI: 10.5281/zenodo.4551725
title: Robot object grasping and drawer throwing data

description: <strong>Contents</strong> There are two zip archives included (<em>grasping.zip</em> and <em>throwing.zip</em>), corresponding to two experiments (grasping objects and throwing them in a drawer), both performed with a Toyota HSR. Each archive contains two directories - <em>learning</em> and <em>generalisation</em> - with object-specific learning and generalisation data. For each object, we provide a dump of a MongoDB database, which contains data sufficient for learning the models used in our experiments. <strong>Usage</strong> After unzipping the archives, each database can be restored with the command mongorestore [data_directory_name] This will create a MongoDB database with the name of the directory. Code for processing the data and model learning can be found in our GitHub repository.
DOI: 10.5281/zenodo.4551724
title: Robot object grasping and drawer throwing data

description: <strong>Contents</strong> There are two zip archives included (<em>grasping.zip</em> and <em>throwing.zip</em>), corresponding to two experiments (grasping objects and throwing them in a drawer), both performed with a Toyota HSR. Each archive contains two directories - <em>learning</em> and <em>generalisation</em> - with object-specific learning and generalisation data. For each object, we provide a dump of a MongoDB database, which contains data sufficient for learning the models used in our experiments. <strong>Usage</strong> After unzipping the archives, each database can be restored with the command mongorestore [data_directory_name] This will create a MongoDB database with the name of the directory. Code for processing the data and model learning can be found in our GitHub repository.
DOI: 10.17632/77954cmhk7.1
title: Data for: Origin of dioctahedral smectites in Lower Eocene Lulehe Formation paleosols (Qaidam Basin, China)

description: These are the geochemical and thermal analysis data of the smectite from the Lulehe Formation.
DOI: 10.18112/openneuro.ds003500.v1.1.0
title: Response inhibition and selective attention in ADHD children as well as in typical children and adults
DOI: 10.26298/h7qd-nd65
title: Lernstörungen im multilingualen Kontext. Testinventar
DOI: 10.5281/zenodo.4552197
title: Example dataset MiNTiF semantic segmentation

description: This data set serves as an example for the application of the MiNTiF plugin (https://github.com/CAiM-lab/MiNTiF). Users can test the data set creation, training, prediction, and reconstruction functionality on this data set. The pre-trained model will predict semantic segmentation masks for Arteries and Sinusoids based using the markers DAPI, Endomucin, CXCL12, Endoglin and Collagen as input. <strong>raw training data</strong> contains the original training samples to train a model. <strong>pretrained model </strong>contains a pretrained model that can be applied on MiNTiF datasets. Use MiNTiF to apply this model to "<em>tiled mintif file.h5"</em>. <strong>test data for prediction </strong>contains a dataset that can be used to test the prediction and reconstruction in MiNTiF <strong>info_channel_indices.txt </strong>contains the marker channels used in this dataset and the corresponding indices to use in MiNTiF . <strong>original_raw_file.ims</strong> is the original image file before conversion to <em>tiled mintif file.h5 </em>. Use this to test the dataset creation <strong>tiled mintif file.h5</strong> is the MiNTiF file converted from original_file.ims. Predict on this file <strong>reconstructed_file_with_prediction.tiff </strong>is the image in <em>tiled mintif file.h5 </em> reconstructed after prediction. It now contains two additional channel with the prediction channels.
DOI: 10.5281/zenodo.4506309
title: Example dataset MiNTiF semantic segmentation

description: This data set serves as an example for the application of the MiNTiF plugin (https://github.com/CAiM-lab/MiNTiF). Users can test the data set creation, training, prediction, and reconstruction functionality on this data set. The pre-trained model will predict semantic segmentation masks for Arteries and Sinusoids based using the markers DAPI, Endomucin, CXCL12, Endoglin and Collagen as input. <strong>raw training data</strong> contains the original training samples to train a model. <strong>pretrained model </strong>contains a pretrained model that can be applied on MiNTiF datasets. Use MiNTiF to apply this model to "<em>tiled mintif file.h5"</em>. <strong>test data for prediction </strong>contains a dataset that can be used to test the prediction and reconstruction in MiNTiF <strong>info_channel_indices.txt </strong>contains the marker channels used in this dataset and the corresponding indices to use in MiNTiF . <strong>original_raw_file.ims</strong> is the original image file before conversion to <em>tiled mintif file.h5 </em>. Use this to test the dataset creation <strong>tiled mintif file.h5</strong> is the MiNTiF file converted from original_file.ims. Predict on this file <strong>reconstructed_file_with_prediction.tiff </strong>is the image in <em>tiled mintif file.h5 </em> reconstructed after prediction. It now contains two additional channel with the prediction channels.
DOI: 10.21227/ft0t-tk36
title: Comprehensive Comparison of VNE Solutions Based on Different Coordination Approaches

description: For the evaluation of our experimental results we used the following performance metrics. The acceptance ratio (AR) describes the number of VNRs that could be completely embedded by an embedding algorithm, divided by the total number of processed VNRs. To avoid any overly simplifications we should mention that the statement, the higher the AR the more efficient the embedding strategy, can be proven as rather unidimensional. The cost-revenue measurement (COSTREV) represents the relationship between the proportion of cost spent in the SN and the revenue that has been eventually mapped. However, when multiple sets of VNRs included in the mapping process, failed to be successfully embedded by the algorithms, the embedding cost depicted by the overall spent substrate resources, is going to be substantially low, determining a respectively low COSTREV value. In this context, the COSTREV metric is not a good indicator of the network mapping quality. That’s why this metric can be modified, multiplying it by the percentage of mapped revenue (CR*MR). The number of the embedded virtual nodes to the total number of the residual substrate nodes that actively serve the mapped VNs, is denoted by the active node stress metric (ANSTRESS). The running time (RT) is the time spent by each embedding process in order to achieve a complete and successful VNR mapping.
DOI: 10.15468/hqca24
title: A new Occidozyga from Sarawak, Malaysian Borneo (Anura: Dicroglossidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Matsui, Masafumi, Nishikawa, Kanto, Eto, Koshiro, Hamidy, Amir, Hossman, Yazid, Fukuyama, Ibuki (2021): A new Occidozyga from Sarawak, Malaysian Borneo (Anura: Dicroglossidae). Zootaxa 4926 (4): 535-546, DOI: https://doi.org/10.11646/zootaxa.4926.4.4
DOI: 10.5281/zenodo.4552479
title: Applying risk tolerance and socio-technical dynamics for more realistic energy transition pathways

description: This Zenodo archive includes the TEMOA database files and SRT model used to produce the publication Cotterman et al., "Applying risk tolerance and socio-technical dynamics for more realistic energy transition pathways".
DOI: 10.5281/zenodo.4552496
title: Applying risk tolerance and socio-technical dynamics for more realistic energy transition pathways

description: This Zenodo archive includes the TEMOA database files and SRT model used to produce the publication Cotterman et al., "Applying risk tolerance and socio-technical dynamics for more realistic energy transition pathways".
DOI: 10.5281/zenodo.3947014
title: Applying risk tolerance and socio-technical dynamics for more realistic energy transition pathways

description: This Zenodo archive includes the TEMOA database files and SRT model used to produce the publication Cotterman et al., "Applying risk tolerance and socio-technical dynamics for more realistic energy transition pathways".
DOI: 10.6084/m9.figshare.14061923
title: Bubble Column Simulations

description: OpenFOAM case files for bubble column simulations using population balance model
DOI: 10.5519/qd.tpfm8nzt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4767691 records)
DOI: 10.5517/ccdc.csd.cc25kr8s
title: CCDC 2013055: Experimental Crystal Structure Determination

description: Related Article: Z. Lin, J. Li|2020|IUCrData|5|x200877|doi:10.1107/S2414314620008779
DOI: 10.5066/p91dxodu
title: Till geochemistry from rotosonic cores in Minnesota, USA

description: Samples for analysis were selected from 1) archived rotosonic cores drilled by the Minnesota Geological Survey and archived at the Lands and Minerals Drill Core Library, Minnesota Department of Natural Resources, Hibbing, Minnesota, USA; or b) freshly collected rotosonic cores, collected on-site at the time of coring. Cores in the sample archive are stored in wooden core-boxes in ambient air. Cores have supporting geology, stratigraphy, geochemistry, and hydrogeology data as published in County Geologic Atlases, Parts A and B, by the Minnesota Geological Survey (MGS) and the Minnesota Department of Natural Resources (MDNR); or in Regional Hydrogeologic Assessments, MGS. Included in this data release are: Core_Chem_Locations.pdf: PDF format map illustrating core locations in Minnesota. Sample_descriptions.csv: Sample IDs, laboratory IDs, x-y-z location, and brief physical description of each sample. Major_and_trace_elements.csv: Major elements, trace elements, and carbon concentrations in solid materials. Weak_leach_and_sequential_extractions.csv: Major elements, trace elements, and carbon; selected major and trace elements recovered from a deionized water leach extraction; selected major and trace elements recovered from each of 5 stages of sequential extraction. Data_Table_Ranges.csv: Minimum and maximum data values for tables Major_and_trace_elements.csv and Weak_leach_and_sequential_extractions.csv.
DOI: 10.6084/m9.figshare.13668929
title: Extended Data Developing a complex intervention targeting antipsychotic prescribing to nursing home residents with dementia

description: Extended data for the HRB Open Research Paper: Developing a complex intervention targeting antipsychotic prescribing to nursing home residents with dementia<br><br>DOI: 10.12688/hrbopenres.13228.1
DOI: 10.5519/qd.bk4uiuhu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (997 records)
DOI: 10.5281/zenodo.4552519
title: Supporting data for paper "Developing tools to evaluate non-linear mixed effect models: 20 years on the npde adventure"

description: R markdown notebook and associated data used to produce the main figures in the paper "Developing tools to evaluate non-linear mixed effect models: 20 years on the npde adventure", submitted to AAPS Journal, December 2020, and updated for the revised version in February 2021.
DOI: 10.5281/zenodo.4548780
title: The stellar rotation–activity relation for a sample of SuperWASP and ASAS-SN field stars

description: Data associated with <em>The stellar rotation–activity relation for a sample of SuperWASP and ASAS-SN field stars DOI 10.1017/pasa.2020.33</em> Contains table 1, table 2. Contains both SuperWASP and ASAS-SN data, but recommended that only SuperWASP is used. Please note, period is given in days.
DOI: 10.5281/zenodo.4548779
title: The stellar rotation–activity relation for a sample of SuperWASP and ASAS-SN field stars

description: Data associated with <em>The stellar rotation–activity relation for a sample of SuperWASP and ASAS-SN field stars DOI 10.1017/pasa.2020.33</em> Contains table 1, table 2. Contains both SuperWASP and ASAS-SN data, but recommended that only SuperWASP is used. Please note, period is given in days.
DOI: 10.5281/zenodo.4490011
title: Prospects of gravitational-waves detections from common-envelope evolution with LISA

description: Input and output files for the COSMIC simulations used in arXiv:2102.00078.
DOI: 10.5281/zenodo.4469437
title: "How baryons can significantly bias cluster count cosmology" by Debackere et al. dataset

description: Dataset of the Maximum A-Posteriori Probabilities for the stage III and stage IV-like cluster count cosmology surveys. The datasets are saved as asdf files ending in _maps.asdf. These behave similarly to Python dictionaries. They can be generated with the code at https://github.com/StijnDebackere/lensing_haloes/ The dictionary keys contain the true cosmological parameters for each dataset ('omega_m', 'omega_b', 'h', 'n_s', 'w0', 'sigma_8'), the minimum and maximum redshifts ('z_min' and 'z_max') and masses ('log10_m_min' and 'log10_m_max') for the halo sample that was used to fit the cosmology, the survey area, 'A_survey'. The MAPs are saved for the 'WL' (masses inferred from NFW profile with fixed concentration-mass relation fits to reduced shear), 'WL_c' (masses inferred from NFW profile with free concentration fits to reduced shear) and 'true' (unbiased halo masses) fitting methods. Each fitting method has the results for the mass cuts 14.0, 14.25 and 14.5 in m<sub>200m</sub>. For the stage III-like dataset, we also include all of the cluster samples. The halo sample dataset for the stage IV-like survey can be requested from Stijn Debackere (see arXiv:2101.07800 for contact information), since it exceeds the 50GB file limit.
description: {"references": ["Debackere, SNB et al. (2021), data related to arXiv:2101.07800"]}
DOI: 10.5281/zenodo.4490010
title: Prospects of gravitational-waves detections from common-envelope evolution with LISA

description: Input and output files for the COSMIC simulations used in arXiv:2102.00078.
DOI: 10.5281/zenodo.4446099
title: Detailed abundances based on different nuclear physics for theoretical r-process scenarios

description: This data set contains detailed abundances (at a time t=10^6 years after the event) for individual trajectories for seven different simulations of potential r-process sites, and based on nine different combinations of nuclear mass models and fission fragment distribution models. The data have been used and are discussed in Cote, Eichler, Yagüe, et al. (https://ui.adsabs.harvard.edu/abs/2020arXiv200604833C/abstract) to determine the isotopic ratios of I129/Cm247 and compare them to meteoritic data. Furthermore, a code is included which samples a subset of trajectories reproducing the measured meteoritic I129/Cm247 abundance ratio of 438 +- 92. See the README file and the publication (https://ui.adsabs.harvard.edu/abs/2020arXiv200604833C/abstract) for more details.
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