cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7158203
title: Flight demonstration of a miniature atomic scalar magnetometer based on a microfabricated rubidium vapor cell

description: Data acquired by the Miniature Absolute Scalar Magnetometer (MASM) on the low-flying sounding rocket of the Twin Rockets to Investigate Cusp Electrodynamics 2 (TRICE-2) mission. The data columns are as follows: epoch time: CDF Epoch Time time: year, month, day, hour, minute, second lfreq [Hz]: Larmor frequency in Hertz Bt [nT]: Measured total magnetic field in nano-Tesla Btm [nT]: Total magnetic field of the IGRF model in nano-Tesla Bxm [nT]: Magnetic field Bx-component of the IGRF model in ECEF coordinates and nano-Tesla Bym [nT]: Magnetic field By-component of the IGRF model in ECEF coordinates and nano-Tesla Bzm [nT]: Magnetic field Bz-component of the IGRF model in ECEF coordinates and nano-Tesla flight time: Flight time with respect to launch in seconds ecef x pos [m]: ECEF X coordinate in meters ecef y pos [m]: ECEF Y coordinate in meters ecef z pos [m]: ECEF Z coordinate in meters ecef x vel [m/s]: ECEF X velocity in meters per second ecef y vel [m/s]: ECEF Y velocity in meters per second ecef z vel [m/s]: ECEF Z velocity in meters per second lat [deg]: Geopgraphic latitude in degrees lon [deg]: Geographics longitude in degrees alt [km]: Altitude in kilometers vcsel temp: VCSEL temperature in engineering units gas cell temp: Rubidium vapor cell temperature in engineering units bx mag: Magnetic field Bx-component measured by the mission's science magnetometer in ECEF coordinates and nano-Tesla by mag: Magnetic field By-component measured by the mission's science magnetometer in ECEF coordinates and nano-Tesla bz mag: Magnetic field Bz-component measured by the mission's science magnetometer in ECEF coordinates and nano-Tesla bt mag: Total magnetic field measured by the mission's science magnetometer in ECEF coordinates and nano-Tesla btf mag: Filtered total magnetic field measured by the mission's science magnetometer in ECEF coordinates and nano-Tesla
DOI: 10.6073/pasta/9395cf75066bdd3919a78eb1a02244dd
title: Sacramento-San Joaquin Delta and Suisun Bay 2021 Water Quality Data (15 Minute) CEMP, DWR

description: The Continuous Environmental Monitoring Program (CEMP) monitors real-time water quality conditions throughout the Sacramento-San Joaquin Delta (the Delta) and Suisun Bay. Data is transmitted to the California Data Exchange Center (CDEC) via wireless telemetry in real-time, providing publicly available environmental data related to the Delta and Suisun Bay. Real- time data is continously collected at 15-minute intervals at 15 stations throughout the Delta and Suisun Bay. YSI EXO sondes are used as standalone water quality instruments at each station. The water quality data collected by CEMP guides the operations of the California State Water Project to maintain mandated water quality standards within the Delta and Suisun Bay. Water quality standards are established for DWR by Water Right Decision 1641. All 15 of CEMP’s continuous water quality stations are included in this dataset for the calendar year of 2021. CEMP has collected water quality data in the Sacramento- San Joaquin Delta and Suisun Bay since the mid-1980s. Over the past 4 decades, CEMP’s monitoring scope has continuously increased in the number of monitoring locations and the amount of water quality analytes monitored. CEMP has strove to deploy the most up to date water quality monitoring technology at all of its monitoring stations. Currently, there are 15 water quality stations maintained by CEMP. All water quality monitoring stations collect data every 15 minutes, 365 days a year and are sent in real-time via telemetry. Core Tenets of CEMP: • to obtain consistent and accurate data in real-time at established monitoring stations • to provide data necessary to achieve compliance with salinity, flow, and dissolved oxygen standards • to perform data analyses for further understanding of estuarine ecology • to report information to other government agencies, as well as the public, for the purpose of management and conservation of the upper San Francisco Estuary (SFE). • to provide continuous water quality monitoring expertise for other groups within DWR and sister agencies for the benefit of ecological studies throughout the San Francisco- Sacramento Estuary
DOI: 10.5281/zenodo.5813803
title: Social Media Mask Dataset

description: The Social Media Mask Dataset is a dataset made up of Twitter Images intended for the training of Convolutional Neural Networks to detect masks in images and video. In this case, the term masks refer to a device worn on the face intended to reduce the spread of respiratory illness. Due to Twitter's TOS, we cannot directly publish Twitter images. Instead, we publish Tweet keys along with information our script uses to download the target image. The file training.json is our suggested training set while testing.json is our suggested test set. Our script download_dataset.py can be used to download the full dataset with a Twitter developer account.
DOI: 10.5281/zenodo.5813804
title: Social Media Mask Dataset

description: The Social Media Mask Dataset is a dataset made up of Twitter Images intended for the training of Convolutional Neural Networks to detect masks in images and video. In this case, the term masks refer to a device worn on the face intended to reduce the spread of respiratory illness. Due to Twitter's TOS, we cannot directly publish Twitter images. Instead, we publish Tweet keys along with information our script uses to download the target image. The file training.json is our suggested training set while testing.json is our suggested test set. Our script download_dataset.py can be used to download the full dataset with a Twitter developer account.
DOI: 10.5281/zenodo.7158251
title: ICB_Fumet1_RNAseq

description: Processed RNAseq data used for ICB_Fumet1 data object. Publication: https://pubmed.ncbi.nlm.nih.gov/35051357/. Raw data obtained from: https://www.ebi.ac.uk/ena/browser/view/PRJNA786567?show=reads. (Sample Title column corresponds to the sample id) Sample metadata to map between run accession and sample title: https://ftp.ncbi.nlm.nih.gov/geo/series/GSE190nnn/GSE190266/matrix Processed with https://github.com/LupienLab/kallisto_snakemake/tree/main/Run_Kallisto. Dataset details: https://www.predictio.ca/dataset/8.
DOI: 10.5281/zenodo.7158250
title: ICB_Fumet1_RNAseq

description: Processed RNAseq data used for ICB_Fumet1 data object. Publication: https://pubmed.ncbi.nlm.nih.gov/35051357/. Raw data obtained from: https://www.ebi.ac.uk/ena/browser/view/PRJNA786567?show=reads. (Sample Title column corresponds to the sample id) Sample metadata to map between run accession and sample title: https://ftp.ncbi.nlm.nih.gov/geo/series/GSE190nnn/GSE190266/matrix Processed with https://github.com/LupienLab/kallisto_snakemake/tree/main/Run_Kallisto. Dataset details: https://www.predictio.ca/dataset/8.
DOI: 10.5281/zenodo.6468283
title: Dataset for use with "Technology standards vs carbon taxes: balancing political feasibility and decarbonization potential"

description: This sqlite file contains the input data and results used in "Technology standards vs carbon taxes: balancing political feasibility and decarbonization potential." The file is a version of the single region Open Energy Outlook database for use with the Temoa model. The database is continually updated. Updated versions can be found in the Temoa GitHub repository, https://github.com/TemoaProject/oeo.
DOI: 10.5281/zenodo.6468282
title: Dataset for use with "Technology standards vs. carbon taxes: comparing emissions reductions and system costs for US decarbonization"

description: This sqlite file contains the input data and results used in "Technology standards vs. carbon taxes: comparing emissions reductions and system costs for US decarbonization." The file is a version of the nine region Open Energy Outlook database for use with the Temoa model. The database is continually updated. Updated versions can be found in the Temoa GitHub repository, https://github.com/TemoaProject/oeo.
DOI: 10.5281/zenodo.6975145
title: Tables presented in the Values Assessment Chapter 2 'Conceptualizing the diverse values of nature and their contributions to people'

description: These tables are part of the Chapter 2 'Conceptualizing the diverse values of nature and their contributions to people' of the Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. If needed, please cite any of them as follows: Anderson C.B., Athayde S., Raymond C.M., Vatn A., Arias P., Gould R.K., Kenter J., Muraca B., Sachdeva S., Samakov A., Zent E., Lenzi D., Murali R., Amin A., Cantú M. (2022) Chapter 2: Conceptualizing the diverse values of nature and their contributions to people. In: Methodological assessment of the diverse values and valuation of nature of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. P. Balvanera, U. Pascual, M. Christie, B. Baptiste, D. González-Jiménez (eds.). IPBES secretariat, Bonn, Germany. XX pages. https://doi.org/10.5281/zenodo.6493134
DOI: 10.5281/zenodo.3872696
title: High-mountain Asia glacier elevation change trend (dh/dt) map for the period spanning 2000 to 2018

description: See manuscript for methodology and dataset description: Shean DE, Bhushan S, Montesano P, Rounce DR, Arendt A and Osmanoglu B (2020) A Systematic, Regional Assessment of High-Mountain Asia Glacier Mass Balance. Front. Earth Sci. 7:363. DOI: 10.3389/feart.2019.00363 https://www.frontiersin.org/articles/10.3389/feart.2019.00363/full GeoTiff header contains relevant metadata and georeferencing information (30 m pixel size, Albers Equal Area projection). Proj string is '+proj=aea +lat_1=25 +lat_2=47 +lat_0=36 +lon_0=85 +x_0=0 +y_0=0 +ellps=WGS84 +datum=WGS84 +units=m +no_defs' External overview file (.ovr) contains pyramidal overviews for improved visualization performance at different zoom levels.
DOI: 10.5281/zenodo.3872695
title: High-mountain Asia glacier elevation change trend (dh/dt) map for the period spanning 2000 to 2018

description: See manuscript for methodology and dataset description: Shean DE, Bhushan S, Montesano P, Rounce DR, Arendt A and Osmanoglu B (2020) A Systematic, Regional Assessment of High-Mountain Asia Glacier Mass Balance. Front. Earth Sci. 7:363. DOI: 10.3389/feart.2019.00363 https://www.frontiersin.org/articles/10.3389/feart.2019.00363/full GeoTiff header contains relevant metadata and georeferencing information (30 m pixel size, Albers Equal Area projection). Proj string is '+proj=aea +lat_1=25 +lat_2=47 +lat_0=36 +lon_0=85 +x_0=0 +y_0=0 +ellps=WGS84 +datum=WGS84 +units=m +no_defs' External overview file (.ovr) contains pyramidal overviews for improved visualization performance at different zoom levels.
DOI: 10.5281/zenodo.7158333
title: hippocampus_barbouri_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7158332
title: hippocampus_barbouri_zanfona_1.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc282sqw
title: CCDC 2088058: Experimental Crystal Structure Determination

description: Related Article: J. G. Malecki|2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc282w8j
title: CCDC 2088137: Experimental Crystal Structure Determination

description: Related Article: J. G. Malecki|2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28ljbr
title: CCDC 2103174: Experimental Crystal Structure Determination

description: Related Article: Christian Fiankor, James Nyakuchena, Rebecca Shu Hui Khoo, Xu Zhang, Yuchen Hu, Sizhuo Yang, Jier Huang, Jian Zhang|2021|J.Am.Chem.Soc.|143|20411|doi:10.1021/jacs.1c10291
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28ljcs
title: CCDC 2103175: Experimental Crystal Structure Determination

description: Related Article: Christian Fiankor, James Nyakuchena, Rebecca Shu Hui Khoo, Xu Zhang, Yuchen Hu, Sizhuo Yang, Jier Huang, Jian Zhang|2021|J.Am.Chem.Soc.|143|20411|doi:10.1021/jacs.1c10291
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: 10.5281/zenodo.7158382
title: ICB_Fumet2_RNAseq

description: Processed RNAseq data used for ICB_Fumet2 data object. Publication: https://www.ncbi.nlm.nih.gov/pubmed/35051357. Raw data obtained from: https://www.ebi.ac.uk/ena/browser/view/PRJNA786565?show=reads. (Sample Title column corresponds to the sample id) Sample metadata to map between run accession and sample title: https://ftp.ncbi.nlm.nih.gov/geo/series/GSE190nnn/GSE190265/matrix/ Processed with https://github.com/LupienLab/kallisto_snakemake/tree/main/Run_Kallisto.
DOI: 10.5281/zenodo.7158381
title: ICB_Fumet2_RNAseq

description: Processed RNAseq data used for ICB_Fumet2 data object. Publication: https://www.ncbi.nlm.nih.gov/pubmed/35051357. Raw data obtained from: https://www.ebi.ac.uk/ena/browser/view/PRJNA786565?show=reads. (Sample Title column corresponds to the sample id) Sample metadata to map between run accession and sample title: https://ftp.ncbi.nlm.nih.gov/geo/series/GSE190nnn/GSE190265/matrix/ Processed with https://github.com/LupienLab/kallisto_snakemake/tree/main/Run_Kallisto.
DOI: 10.57967/hf/0011
title: QA_to_statements
DOI: 10.5281/zenodo.7063019
title: Vamos: VNTR annotation using efficient motif sets, 64-haplotype motifs

description: This is the efficient motif set for 382,492 VNTR loci in 64 haplotype-resolved assemblies (10.1126/science.abf7117). The initial release is with compression parameter (delta) = 0.1
DOI: 10.5281/zenodo.7063262
title: Vamos: VNTR annotation using efficient motif sets, 64-haplotype motifs

description: This is the efficient motif set for 382,492 VNTR loci in 64 haplotype-resolved assemblies (10.1126/science.abf7117). The initial release is with compression parameter (delta) = 0.1
DOI: 10.5281/zenodo.7155329
title: Vamos: VNTR annotation using efficient motif sets, 64-haplotype motifs

description: This is the efficient motif set for 382,492 VNTR loci in 64 haplotype-resolved assemblies (10.1126/science.abf7117). The initial release is with compression parameter (delta) = 0.1
DOI: 10.5281/zenodo.7155334
title: Vamos: VNTR annotation using efficient motif sets, 64-haplotype motifs

description: This is the efficient motif set for 382,492 VNTR loci in 64 haplotype-resolved assemblies (10.1126/science.abf7117). The initial release is with compression parameter (delta) = 0.1
DOI: 10.5281/zenodo.7063018
title: Vamos: VNTR annotation using efficient motif sets, 64-haplotype motifs

description: This is the efficient motif set for 382,492 VNTR loci in 64 haplotype-resolved assemblies (10.1126/science.abf7117). The initial release is with compression parameter (delta) = 0.1
DOI: 10.5281/zenodo.7158427
title: Vamos: VNTR annotation using efficient motif sets, 64-haplotype motifs

description: This is the efficient motif set for 382,492 VNTR loci in 64 haplotype-resolved assemblies (10.1126/science.abf7117). The initial release is with compression parameter (delta) = 0.1
DOI: 10.6084/m9.figshare.21298176.v1
title: GPCPdata.csv

description: GCPC
DOI: 10.6084/m9.figshare.21298176
title: GPCPdata.csv

description: GCPC
DOI: 10.5066/p9sdu7c7
title: Data supporting a spatiotemporal trend analysis of specific conductivity, streamflow, and landscape attributes of selected sub-basins within the Delaware River watershed, 1980 to 2018

description: This data release makes available three data tables supporting a spatiotemporal analysis of riverine conductivity and streamflow trends within the Delaware River Basin. The listed datasets include baseflow and total flow time series for selected gaged basins, watershed attributes, water quality information and trend analysis results.
DOI: 10.5281/zenodo.7158454
title: hippocampus_guttulatus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7158453
title: hippocampus_guttulatus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7158460
title: syngnathus_floridae_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7158459
title: syngnathus_floridae_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21298179
title: Shallow water dataset for DINo

description: This data is used for DINo (https://arxiv.org/abs/2209.14855) to perform experiments on sphere. The dataset is generated with Dedalus (https://dedalus-project.org/).
DOI: 10.5517/ccdc.csd.cc28lj9q
title: CCDC 2103173: Experimental Crystal Structure Determination

description: Related Article: Christian Fiankor, James Nyakuchena, Rebecca Shu Hui Khoo, Xu Zhang, Yuchen Hu, Sizhuo Yang, Jier Huang, Jian Zhang|2021|J.Am.Chem.Soc.|143|20411|doi:10.1021/jacs.1c10291
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: 10.35077/ace-did
title: Baseline oxygen consumption decreases with cortical depth: Artery03_011819_VG716

description: The cerebral cortex is organized in cortical layers that differ in their cellular density, composition, and wiring. Cortical laminar architecture is also readily revealed by staining for cytochrome oxidase – the last enzyme in the respiratory electron transport chain located in the inner mitochondrial membrane. It has been hypothesized that a high-density band of cytochrome oxidase in cortical layer IV reflects higher oxygen consumption under baseline (unstimulated) conditions. Here, we tested the above hypothesis using direct measurements of the partial pressure of O2 (pO2) in cortical tissue by means of 2-photon phosphorescence lifetime microscopy (2PLM). We revisited our previously developed method for extraction of the cerebral metabolic rate of O2 (CMRO2) based on 2-photon pO2 measurements around diving arterioles and applied this method to estimate baseline CMRO2 in awake mice across cortical layers. To our surprise, our results revealed a decrease in baseline CMRO2 from layer I to layer IV. This decrease of CMRO2 with cortical depth was paralleled by an increase in tissue oxygenation. Higher baseline oxygenation and cytochrome density in layer IV may serve as an O2 reserve during surges of neuronal activity or certain metabolically active brain states rather than baseline energy needs. Our study provides the first quantification of microscopically resolved CMRO2 across cortical layers as a step towards better understanding of the brain energy metabolism.
description: The MathWorks Matlab files (‘.mat’) are named after the cortical depth and contain Oxyphor2P decay data (‘Oxyphor2P.decay’), the derived pO2 values (‘Oxyphor2P.pO2Value’) and their coordinates (X: ‘Oxyphor2P.X_reference _coordinates’ and Y: ‘Oxyphor2P.Y_reference _coordinates’), which relate to the reference images with astrocyte-staining with SR101 (‘reference.SR101’), vasculature containing FITC (‘reference.FITC’) and the Oxyphor2P distribution (‘reference.Oxyphor2P’). DATASET METADATA: title:'Baseline oxygen consumption decreases with cortical depth: Artery03_011819_VG716', Other:'Phosphorescence Lifetime Oxygen Imaging' SPECIMEN METADATA: LocalID:'VG716', Species:'Mouse', NCBITaxonomy:'NCBI:txid10090', Age:'154.0', Ageunit:'Days', Sex:'Male', Genotype:'C57BL6', OrganName:'Brain', SampleLocalID:'Artery03_011819_VG716', Locations:'somatosensory cortex' INSTRUMENT METADATA: MicroscopeType:'Two Photon Laser Scanning Microscopy', MicroscopeManufacturerAndModel:'Bruker Ultima', ObjectiveName:'Olympus UMPlanFL N, Olympus XLUMPlanFl', ObjectiveImmersion:'Water', ObjectiveNA:'0.5, 0.95', ObjectiveMagnification:'20x', DetectorType:'PMT', IlluminationTypes:'Chameleon Ultra femtosecond Ti:Sapphire laser (Coherent)' IMAGE METADATA: xAxis:'posterior-to-anterior', yAxis:'left-to-right', zAxis:'superior-to-inferior', Number:'1, 2, red, green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', Representation:'1: Oxyphor 2P; 2: FITC,', Flurophore:'Oxyphor2P, FITC-dextran, Alexa680-dextran', stepSizeX:'0.58 um, 1.16 um', stepSizeY:'0.58 um, 1.16 um', stepSizeZ:'3 um'