cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/3610066001-fra
title: Comptes économiques répartis pour le secteur des ménages, patrimoine, par caractéristique, Canada, trimestrielle

description: Distribution du patrimoine et de ses sous-composantes, valeurs en dollars et valeur en dollars par ménage, selon les caractéristiques du ménage telles que le quintile de revenu, l'âge, le mode d'occupation et la composition du logement, Canada, annuel 2010 à 2019 et trimestriel à partir de 2020.
DOI: 10.25345/c5x28m
title: MassIVE MSV000088196 - GNPS - Populus trees 153 microbial isolates
title: Microbial isolates from the Populus tree. Biological replicates of 153 bacterial cultures performed in R2A medium. Supernatant was dried out, extracted with methanol:water 1:1 and prepared for LC-MS/MS acquisition. Data acquired in positive ion mode.
DOI: 10.5281/zenodo.5551256
title: Tecolutla´s Solid waste management system surveys

description: The Tecolutla´s solid waste management system was evaluated thoughtout surveys aplied to diferent population sectors in three areas.<br>
DOI: 10.5281/zenodo.5551255
title: Tecolutla´s Solid waste management system surveys

description: The Tecolutla´s solid waste management system was evaluated thoughtout surveys aplied to diferent population sectors in three areas.<br>
DOI: 10.6084/m9.figshare.16602314.v2
title: Source Data

description: Source data underlying all figures
DOI: 10.6084/m9.figshare.16752685
title: Data- leADS_materials.zip

description: leADS requires a set of object files to run the core commands along with test samples to train and predict pathways. The test samples can either be used to train or test the leADS model.<br>This zip file contains a set of object and test files along with the pretrained model that is required to run leADS. <br><br><br>
DOI: 10.6084/m9.figshare.16752685.v1
title: Data- leADS_materials.zip

description: leADS requires a set of object files to run the core commands along with test samples to train and predict pathways. The test samples can either be used to train or test the leADS model.<br>This zip file contains a set of object and test files along with the pretrained model that is required to run leADS. <br><br><br>
DOI: 10.6084/m9.figshare.16701838
title: Human data

description: De-identified participant responses from the two psychophysics experiments
DOI: 10.6084/m9.figshare.16701838.v1
title: Human data

description: De-identified participant responses from the two psychophysics experiments
DOI: 10.6084/m9.figshare.16602320
title: Model data

description: Raw model activations to 2,162 faces
DOI: 10.6084/m9.figshare.16602320.v3
title: Model data

description: Raw model activations to 2,162 faces
DOI: 10.6084/m9.figshare.16602314
title: Source Data

description: Source data underlying all figures
DOI: 10.6084/m9.figshare.16602311
title: 46 features for face description

description: Description of how 17 feature descriptors were chosen from the set of 46
DOI: 10.6084/m9.figshare.16602311.v4
title: 46 features for face description

description: Description of how 17 feature descriptors were chosen from the set of 46
DOI: 10.6084/m9.figshare.16602311.v3
title: 46 features for face description

description: Description of how 17 feature descriptors were chosen from the set of 46
DOI: 10.6073/pasta/d0dcb3d80744bfabd2feddc640832d6b
title: SBC LTER: Land: Hydrology: Daily precipitation from station UCSB-200, 1951-2008

description: These daily total precipitation data represent reference material for the SBC LTER samplilng area, and are for general use. Data were collected by the Santa Barbara County Flood Control District at the station UCSB200, starting in 1951. Dataset will be updated annually, for the previous water-year. These data were collected in accordance with current industry standards using a tipping gauge. Related data: High frequency data from this station are also available. See data set titled: SBCLTER: Land: Hydrology: Santa Barbara County Flood Control District - Precipitation at UCSB200 (id = knb-lter-sbc.5016).
DOI: 10.5258/soton/d1975
title: The differentiation state of the Schwann cell progenitor drives phenotypic variation between two contagious cancers

description: Data associated with manuscript, 'The differentiation state of the Schwann cell progenitor drives phenotypic variation between two contagious cancers'. The tables below were used to generate Figures 1 -3 in the manuscript.
DOI: 10.34740/kaggle/dsv/2681987
title: Elliptic BTC
DOI: 10.15151/esrf-es-530498487
title: FInnish National Protein Crystallography Consortium

description: The Finnish BAG encompasses 25 groups active in crystallography in Finland. The projects vary widely and include membrane proteins such as membrane pyrophosphatases, and various protein complexes and receptors (growth factor receptors, integrins), signaling proteins such as kinases, other proteins involved in disease and antibiotics development (neuronal adhesion and myelin proteins, PP2A, ADP-ribosylation and biocatalytic enzymes) and several pathogen proteins (e.g. viral proteins) and various enzyme targets and e.g. studies on phytochrome photoreceptors and complexes involved in actin and cytoskeleton dynamics and regulation. Overall the BAG serves the national needs for highly variable projects, with different biological and biotechnological applications. Several project will benefit from microfocus beam lines and tunable wavelength options for phasing, others benefit from quick robust screening by MASSIF. Biology lab is needed for SAXS experiments.
DOI: 10.25318/3610066101-eng
title: Distributions of household economic accounts, wealth, Canada, regions and provinces, quarterly

description: Wealth and its subcomponent distributions, dollar values and dollar value per household, by household characteristics such as income quintile, age, housing tenure and composition, Canada, regions and provinces, annual 2010 to 2019 and quarterly starting 2020.
DOI: 10.34740/kaggle/dsv/2682586
title: E-Ticaret Ürün Yorumları
DOI: 10.5258/soton/d1964
title: Dataset for "Thinly-coated hollow core fiber for improved thermal phase-stability performance"
DOI: 10.5517/ccdc.csd.cc287tp1
title: CCDC 2092893: Experimental Crystal Structure Determination

description: Related Article: Robby Petros, Vladimir N Nesterov|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc287tq2
title: CCDC 2092894: Experimental Crystal Structure Determination

description: Related Article: Robby Petros, Vladimir N Nesterov|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28827w
title: CCDC 2093127: Experimental Crystal Structure Determination

description: Related Article: Victor B. Rybakov, Anton V. Omel'kov|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28834t
title: CCDC 2093155: Experimental Crystal Structure Determination

description: Related Article: Pedro Ruiz Campos, Matthew Asay and Marcos Loroño|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc268qx4
title: CCDC 2034186: Experimental Crystal Structure Determination

description: Related Article: Guo-Guo Weng, Ben-Kun Hong, Song-Song Bao, Yujie Wen, Lan-Qing Wu, Xin-Da Huang, Jia-Ge Jia, Ge-Hua Wen, Shu-Hua Li, Luming Peng, Li-Min Zheng|2021|Chemical Science|12|12619|doi:10.1039/D1SC01913A
DOI: 10.5517/ccdc.csd.cc268qy5
title: CCDC 2034187: Experimental Crystal Structure Determination

description: Related Article: Guo-Guo Weng, Ben-Kun Hong, Song-Song Bao, Yujie Wen, Lan-Qing Wu, Xin-Da Huang, Jia-Ge Jia, Ge-Hua Wen, Shu-Hua Li, Luming Peng, Li-Min Zheng|2021|Chemical Science|12|12619|doi:10.1039/D1SC01913A
DOI: 10.5517/ccdc.csd.cc289v2j
title: CCDC 2094827: Experimental Crystal Structure Determination

description: Related Article: Emmanuel Odella, Maxim Secor, Mackenna Elliot, Thomas Groy, Thomas Moore, Sharon Hammes-Schiffer, Ana Moore|2021|Chemical Science|12|12667|doi:10.1039/D1SC03782J
DOI: 10.5517/ccdc.csd.cc28chgm
title: CCDC 2096420: Experimental Crystal Structure Determination

description: Related Article: Vladislav Yu. Shuvalov, Sergei А. Chernenko, Anton L. Shatsauskas, Anna L. Samsonenko, Maksim V. Dmitriev, Alexander S. Fisyuk|2021|Chemistry of Heterocyclic Compounds|57|764|doi:10.1007/s10593-021-02980-w
DOI: 10.5517/ccdc.csd.cc28dgz4
title: CCDC 2097366: Experimental Crystal Structure Determination

description: Related Article: Megan Keener, Rosario Scopelliti, Marinella Mazzanti|2021|Chemical Science|12|12610|doi:10.1039/D1SC03957A
DOI: 10.5517/ccdc.csd.cc28d5hc
title: CCDC 2097072: Experimental Crystal Structure Determination

description: Related Article: Megan Keener, Rosario Scopelliti, Marinella Mazzanti|2021|Chemical Science|12|12610|doi:10.1039/D1SC03957A
DOI: 10.5517/ccdc.csd.cc28dh06
title: CCDC 2097367: Experimental Crystal Structure Determination

description: Related Article: Megan Keener, Rosario Scopelliti, Marinella Mazzanti|2021|Chemical Science|12|12610|doi:10.1039/D1SC03957A
DOI: 10.5517/ccdc.csd.cc28dh17
title: CCDC 2097368: Experimental Crystal Structure Determination

description: Related Article: Megan Keener, Rosario Scopelliti, Marinella Mazzanti|2021|Chemical Science|12|12610|doi:10.1039/D1SC03957A
DOI: 10.5517/ccdc.csd.cc28dh28
title: CCDC 2097369: Experimental Crystal Structure Determination

description: Related Article: Megan Keener, Rosario Scopelliti, Marinella Mazzanti|2021|Chemical Science|12|12610|doi:10.1039/D1SC03957A
DOI: 10.25318/3610066101-fra
title: Comptes économiques répartis pour le secteur des ménages, patrimoine, Canada, régions et provinces, trimestrielle

description: Distribution du patrimoine et de ses sous-composantes, valeurs en dollars et valeur en dollars par ménage, selon les caractéristiques du ménage telles que le quintile de revenu, l'âge, le mode d'occupation et la composition du logement, Canada, régions et provinces, annuel 2010 à 2019 et trimestriel à partir de 2020.
DOI: 10.5066/p9okkj1b
title: Plant trait and soil moisture data associated with ontogenetic trait shifts - seedlings display high trait variability during early stages of development

description: These tabular data were compiled to document how key plant trait values change during plant development, particularly seedling stages, and in relation to soil moisture. An objective of our study was to answer three main research questions: (1) Do seedling trait values differ across early to late stages of seedling development and do those trajectories vary among plant species and functional types (i.e., forbs vs. grasses)?; (2) Does water availability influence seedling ontogenetic trait variation? and, if so, does this variation affect plant species drought performance?; and (3) Do seedling trait values at early stages of development differ from complied trait database values for species? These data represent key trait values, including specific leaf area, root:shoot ratio, specific root length, and root dry matter content of 20 – 62-day-old seedlings grown under low and high levels of water availability. These data were collected from July-October 2019 at the Research Greenhouse at Northern Arizona University in Flagstaff, Arizona. These data were collected by U.S. Geological Survey staff and greenhouse assistants at Northern Arizona University using observations and destructive harvesting of plants in a greenhouse setting. These data can be used to understand variation in functional traits early in plant development to predict community level processes and ecosystem responses to environmental change and ecological restoration practices.
DOI: 10.5066/p97xt7hf
title: Agassiz's desert tortoise and egg data from the Sonoran Desert of California (1997-2000, 2015-2018)

description: These data were compiled to evaluate reproductive output of Agassiz's desert tortoises (Gopherus agassizzi) in relation to environmental and individual-level variables. We collected data from four study sites in the Sonoran Desert of California, including two separate populations within Joshua Tree National Park, one population located on the northern versant of the Orocopia Mountains, and one population located at the extreme western end of the Coachella Valley. These data represent eight reproductive seasons that spanned over 20 years (1997-2000, 2015-2018). These data were compiled and added to a larger database with additional records collected by other scientists from eight other study sites in order to detect drivers of reproductive output in G. agassizii across its range. In our studies, mature female tortoises (straight-line carapace length &amp;amp;#8805; 200 mm) outfitted with radiotransmitters were located and X-radiographed approximately every 10-14 days during the reproductive season (April-July). The appearance of shelled eggs on X-radiographs allowed for the determination of reproductive status, clutch sizes and number, and total annual egg production (TE). As a federally listed species, it is important to understand variables affecting desert tortoise reproductive ecology for effective management of the species.
DOI: 10.6073/pasta/82e5fd19ef242647682021a99579b143
title: SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Purisima Mooring (PUR), 1999-2016

description: ADCP (Currents), CTD (Hydrography) and Optics data (Fluorescence, Beam Attenuation and Volume Scattering Function) were collected at La Purisima (site ID: PUR), north of Point Conception. Data have been interpolated to a 20 minute interval. ADCP data are binned at a 1.0 meter interval, measured as height from the bottom to a maximum of 16 bins. All bins may not be filled, and in some cases, data from bins technically above the surface are included. VSF data are available at angles, 100, 125 and 150 degrees. CTD parameters include Pressure, Temperature, Conductivity, Salinity, Density and Fluorescence. The CTD array is located approximately 4.5 meters from the surface, and there are additional temperature thermistors near the CTD array, at the bottom, and mid way between these two.
DOI: 10.5281/zenodo.5134732
title: DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction

description: This dataset contains replication data for the paper titled "DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction". The dataset consists of pickled Pandas DataFrame files, along with training, validation, and (for DB5-Plus) test filename lists for cross-validation, that can be used to develop and evaluate protein interface prediction models. This dataset also contains the externally generated residue-level PSAIA and HH-suite3 features for users' convenience (e.g. raw MSAs and profile HMMs for each protein complex). Our GitHub repository linked in the "Additional notes" metadata section below provides more details on how we parsed through these files to create our cross-validation datasets. The GitHub repository for DIPS-Plus also includes scripts that can be used to impute missing feature values and convert the final "raw" complexes into DGL-compatible graph objects. Since our final DGL graph representation for each complex uses PyTorch tensors in its construction of residue embeddings, the final representation of each complex can easily be adapted to fit the users' needs (e.g. feeding a complex's 2D residue feature tensors into a convolutional neural network).
description: This dataset can be updated periodically using the instructions contained in our GitHub repository for DIPS-Plus (https://github.com/BioinfoMachineLearning/DIPS-Plus). For data provenance, the complexes curated for DIPS-Plus originate from the RCSB's bound protein complex repository (https://ftp.wwpdb.org/pub/pdb/data/biounit/coordinates/divided/).
DOI: 10.5281/zenodo.4815266
title: DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction

description: This dataset contains replication data for the paper titled "DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction". The dataset consists of pickled Pandas DataFrame files, along with training, validation, and (for DB5-Plus) test filename lists for cross-validation, that can be used to develop and evaluate protein interface prediction models. This dataset also contains the externally generated residue-level PSAIA and HH-suite3 features for users' convenience (e.g. raw MSAs and profile HMMs for each protein complex). Our GitHub repository linked in the "Additional notes" metadata section below provides more details on how we parsed through these files to create our cross-validation datasets. The GitHub repository for DIPS-Plus also includes scripts that can be used to impute missing feature values and convert the final "raw" complexes into DGL-compatible graph objects. Since our final DGL graph representation for each complex uses PyTorch tensors in its construction of residue embeddings, the final representation of each complex can easily be adapted to fit the users' needs (e.g. feeding a complex's 2D residue feature tensors into a convolutional neural network).
description: This dataset can be updated periodically using the instructions contained in our GitHub repository for DIPS-Plus (https://github.com/BioinfoMachineLearning/DIPS-Plus). For data provenance, the complexes curated for DIPS-Plus originate from the RCSB's bound protein complex repository (https://ftp.wwpdb.org/pub/pdb/data/biounit/coordinates/divided/).
DOI: 10.25318/3610066201-eng
title: Distributions of household economic accounts, income, consumption and saving, by characteristic, quarterly

description: Household income, consumption and saving and their subcomponents, distributions, dollar values and dollar value per household, by household characteristics such as income quintile, age, housing tenure and composition, Canada, 2020 quarter one to current quarter.
DOI: 10.5258/soton/d1932
title: Dataset for "Theoretical analysis of backscattering in hollow-core antiresonant fibers"

description: Dataset for "Theoretical analysis of backscattering in hollow-core antiresonant fibers" in APL Photonics
DOI: 10.15139/s3/alvd99
title: Monmouth University New Hampshire Poll, Number 206

description: This survey was conducted among New Hampshire voters likely to vote in the Democratic presidential primary in February 2020. This release includes candidate choice and if the Iowa caucus and the Trump impeachment has impacted candidate support.
DOI: 10.25318/3610066201-fra
title: Comptes économiques répartis pour le secteur des ménages, revenu, consommation et épargne, par caractéristique, trimestrielle

description: Revenu, consommation et épargne des ménages et leurs sous-composantes, répartitions, valeurs en dollars et valeur en dollars par ménage, selon les caractéristiques du ménage telles que le quintile de revenu, l'âge, le mode d'occupation et la composition du logement, Canada, du premier trimestre de 2020 au trimestre en cours.
DOI: 10.6084/m9.figshare.16754965
title: Consensus protein localization encodings for all OpenCell targets

description: This dataset consists of the raw consensus encodings (or latent-space representations) of the protein localization patterns for all targets in the OpenCell library. These encodings are generated by a self-supervised machine learning model called cytoself trained on the OpenCell imaging dataset. Briefly, these encodings correspond to the flattened VQ2 layer of the VQ-VAE2-like component of the cytoself model, and are provided here as a mean over all images of each target. The resulting matrix of encodings has dimensions of 1294x9216, corresponding to the library of 1294 OpenCell targets and the 9216 dimensions of the flattened VQ2 layer of the cytoself model. This matrix is provided along with target metadata in the form of an `anndata` object. Please refer to our GitHub repo (2021-opencell-figures) for usage examples.
DOI: 10.5281/zenodo.5542559
title: Numerical Results for Kyriakopoulos et al., 2021 GRL

description: Numerical results represented in Figures 2, 3 and 4.
description: {"references": ["Kyriakopoulos et al., 2021, Geophysical Research Letters"]}
DOI: 10.5281/zenodo.5542558
title: Numerical Results for Kyriakopoulos et al., 2021 GRL

description: Numerical results represented in Figures 2, 3 and 4.
description: {"references": ["Kyriakopoulos et al., 2021, Geophysical Research Letters"]}
DOI: 10.6073/pasta/1c8ab4c2e270ad5fa199fcaa2fce1912
title: SBC LTER: Kelp Removal Experiment: Hourly photon irradiance at the surface and seafloor, ongoing since 2008

description: These data represent mean hourly values of photosynthetically active radiation (PAR) (in units of mol m-2 s-1) at the sea surface and the sea floor at SBC LTER kelp removal experiment sites. Sensors record instantaneous irradiance at one-minute intervals, and data are averaged hourly. Sensors are mounted on the sea floor at five sites (Arroyo Quemado, Carpinteria, Naples Reef, Isla Vista, and Mohawk Reef). A surface sensor is deployed on an unobstructed coastal rooftop at the UC Santa Barbara campus; some historical observations are available from sensors mounted above the sea surface at a subset of the five sites.
DOI: 10.34943/a4ce7ff3-ed56-46f3-9fb7-d1648f67ebdc
title: Barkley Canyon Axis Pan Tilt Lights Deployed 2019-09-23

description: The ROS PT-25 Ti 10517 was deployed on 2019-09-23 at Barkley Canyon Axis. Barkley Canyon Axis is located within Barkley Canyon, where benthic processes, biodiversity, sediment dynamics are observed. This device is a Pan Tilt Lights. Pan Tilt Lights are used for cameras and allow remotely controlled operations such as changing the camera's field of view and illuminating the subject matter. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/6bcdce38-440b-4717-bcf8-1f6d6dda5684
title: Barkley Canyon Axis Pan Tilt Lights Deployed 2021-08-21

description: The ROS PT-25 Ti 10517 was deployed on 2021-08-21 at Barkley Canyon Axis. Barkley Canyon Axis is located within Barkley Canyon, where benthic processes, biodiversity, sediment dynamics are observed. This device is a Pan Tilt Lights. Pan Tilt Lights are used for cameras and allow remotely controlled operations such as changing the camera's field of view and illuminating the subject matter. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.18112/openneuro.ds003832.v1.0.0
title: Oxygen gas challenge and electrical deep brain stimulation in LE rats: Simultaneous FSCV and BOLD fMRI
DOI: 10.25318/3610066301-eng
title: Distributions of household economic accounts, income, consumption and saving, Canada, provinces and territories, quarterly

description: Household income, consumption and saving and their subcomponents, distributions, dollar values and dollar value per household, by household characteristics such as income quintile, age, housing tenure and composition, Canada, provinces and territories, 2020 quarter one to current quarter.