cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6523649
title: Liver Micrometastases area quantification using QuPath and pixel classifier

description: <strong>Sample</strong>: Mouse (NSG) liver slices with human colorectal cancer cells metastases, stained with Hematoxylin & Eosin. <strong>Image Acquisition</strong>: Images were acquired on an Olympus VS120 Whole Slide Scanner, using a 20x objective (UPLSAPO, N.A. 0.75) and a color camera (Pike F505 Color) with an image pixel size of 0.345 microns. <strong>Image Processing and Analysis</strong>: Obtained images were analyzed using the software QuPath [1] (version 0.3.2) using groovy scripts, making use of a pixel classifier to segment and measure cancer cell clusters. <strong>Files</strong> : <em>Detailed_worflow.pdf</em> : contains a detailed description of how pixel classifier was created <em>images_for_classifier_training.zip</em> : contains all the vsi file obtained from the microscope and used for the training <em>project_for_classifier_training.zip</em> : contains the QuPath project, with Training Image, annotations, classifiers and scripts for analysis <em>PythonCode.txt</em> : code ran to transform output results from QuPath to final results [1] Bankhead, P. et al. <strong>QuPath: Open source software for digital pathology image analysis</strong>. <em>Scientific Reports</em> (2017). https://doi.org/10.1038/s41598-017-17204-5
DOI: 10.34740/kaggle/dsv/5823757
title: Cotton - Pest and Disease
DOI: 10.18434/m3s67g
title: NIST Campus Photovoltaic (PV) Arrays and Weather Station Data Sets

description: One-minute averaged values for 2015 and 2016 for three grid-connected photovoltaic arrays on the NIST campus in Gaithersburg Maryland USA.  The arrays are built from monocrystalline silicon modules and range from 73 kW to 217 kW. Each array has a different tilt, orientation, and configuration. Irradiance, temperature, wind, and electrical measurements are recorded at each array. One-minute average data from a nearby weather station and images of the sky and arrays at one-hour intervals are also included. Higher frequency one-second data and images at five-minute intervals are available upon request.
DOI: 10.25925/20200903
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957-2019; obspack_co2_1_GLOBALVIEWplus_v6.0_2020-09-11

description: A full list of all creators for this product can be found at www.esrl.noaa.gov/gmd/ccgg/obspack/providerlist/obspack_co2_1_GLOBALVIEWplus_v6.0_2020-09-11.html. This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products. This product includes 471 atmospheric carbon dioxide datasets derived from observations made by 54 laboratories from 21 countries. Data for the period 1957-2019 (where available) are included.
DOI: 10.5281/zenodo.7962336
title: Raw Particle Number Size-Distribution Data of twin-DMPS equipped with two CPCs for nanoparticle detection for SMEAR II station, Hyytiälä, Finland, Spring 2017

description: Raw size-Distribution data from twin-DMPS system (Aalto et al., 2001), where the nano-DMA (measuring up to 40 nm, short Hauke type DMA) is quipped with two detectors:<br> a TSI 3776 and a modified Airmodus A20 (Kangasluoma et al., 2015) Data acquired during in March-May 2017 at the SMEAR II station in Hyytiälä, Finland.<br> Data associated with the publication Stolzenburg, Laurila et al. (2023), Atmos. Meas. Techn., "Improved counting statistics of an ultrafine differential mobility particle size spectrometer system" Files DMYYDDMM_A20.Dat contain the raw DMPS data, with YYMMDD indicating the day of the measurement.<br> Data are provided alternating between data acquired with the nano-DMA and with the long-DMA, on a scan by scan basis.<br> First line of each scan cycle (for both DMAs) always indicates the start and end times of the voltage scan.<br> Second line gives the parameters related to the DMPS as given below:<br> (sheath flow in [l per min], aerosol flow in [l per min], DMA inner electrode diameter in [m], DMA outer electrode diameter in [m], DMA classification length in [m], other parameters)<br> Following lines give<br> (for long-DMA): set voltage at DMA [in V], concentration measured by TSI3772 in [per cm3]<br> (for nano_DMA): et voltage at DMA [in V], concentration measured by TSI 3776 in [per cm3], concentration measured by mod. Airmodus A20 in [per cm3] File dmps_data_format_specifier.text gives a conversion from voltage to diameter and indicates the measurement time at each voltage during the stepping of the DMPS.<br> Needs to be used to convert measured concentrations in counts per set-interval. Files GR_J_overview.xlsx gives size-distribution derived quantities during that campaign.<br> Header defines Date, Growth Rate and Formation Rate measured at different sizes [in nm] and by the two different CPCs connected to the nano-DMA.<br> Growth rates in [nm per h], formation rate in [per cm3 per s]. Other data related to the campaign can be obtained from the corresponding author upon reasonable request.<br> juha.kangasluoma@helsinki.fi References: Stolzenburg, Laurila et al. "Improved counting statistics of an ultrafine differential mobility particle size spectrometer system",<br> Atmos. Meas. Techn., in press, 2023 Aalto et al., "Physical characterization of aerosol particles during nucleation events",<br> Tellus B, vol. 53, pp. 344-358, 2001 Kangasluoma et al., "Sub-3 nm Particle Detection with Commercial TSI 3772 and Airmodus A20 Fine Condensation Particle Counters",<br> Aerosol Sci. Techn., vol. 49, pp. 674-681, 2015
DOI: 10.13026/txmt-8m40
title: Phenotype Annotations for Patient Notes in the MIMIC-III Database

description: A crucial step within secondary analysis of electronic health records (EHRs)
is to identify the patient cohort under investigation. While EHRs contain
medical billing codes that aim to represent the conditions and treatments
patients may have, much of the information is only present in the patient
notes. Therefore, it is critical to develop robust algorithms to infer
patients' conditions and treatments from their written notes.

We introduce a dataset for patient phenotyping, a task that is defined as the
identification whether a patient has a given phenotype (also referred to as
indication) based on their patient note. Patient notes of MIMIC-III, a dataset
collected from Intensive Care Units of a large tertiary care hospital in
Boston, were manually annotated for the presence of several high-context
phenotypes relevant to treatment and risk of re-hospitalization.

Each note has been annotated by two expert human annotators (one clinical
researcher and one resident physician). Annotated phenotypes include treatment
non-adherence, chronic pain, advanced/metastatic cancer, as well as 10 other
phenotypes. This dataset can be utilized for academic and industrial research
in medicine and computer science, particularly within the field of medical
natural language processing.
DOI: 10.4121/797dcaff-56e3-45ae-a931-f6f4a3135d26.v1
title: Systematic Quantitative Literature Review - Uncertainty assessment of Evapotranspiration Remote Sensing

description: A systematic literature review of studies assessing the uncertainty of evapotranspiration from satellite remote sensing from 2011 to 2021. The categorization and analysis of the papers were based on the types of uncertainty considered, methods used to assess uncertainty, and the context where uncertainty was assessed.
DOI: 10.48514/6xth-m998
title: FARM-data-GRAINEX
DOI: 10.5066/f7cv4fw6
title: Minisparker and chirp seismic-reflection data of field activity 2014-645-FA collected in the outer Santa Barbara Channel, California, between 2014-11-12 to 2014-11-25 (ver. 2.0, March 2020)

description: The U.S. Geological Survey (USGS) collected high-resolution multichannel sparker, minisparker and chirp seismic-reflection data in November 2014, from offshore Catalina and Santa Cruz basins. The survey was designed to image faults and folds associated with movement on the faults in offshore southern California, including the Catalina, Catalina Ridge, San Clemente, and San Diego Trough faults. Data were collected aboard the Scripps Institution of Oceanography R/V Robert Gordon Sproul. Subbottom acoustic penetration spans several hundred meters and is variable by location. This data release contains processed digital SEG-Y. The seismic-reflection profiles of bedrock, sediment deposits and tectonic structure provide geologic information that is essential to hazard assessment, regional sediment management, and coastal and marine spatial planning at Federal, State and local levels. The profiles will also be useful for future research on the geomorphic, sedimentary, tectonic and climatic record of southern California.
DOI: 10.17632/93dmwj5yhk.1
title: Data for Adaptive Neuro-Fuzzy Inference System for Customizing Investment Type based on the Potential Investors’ Demographics

description: The data is related to the paper by Asemi, A. & Ko, A. (2022), in the title: "Adaptive Neuro-Fuzzy Inference System for Customizing Investment Type based on the Potential Investors’ Demographics and feedback". The study aimed to present a novel customized investment recommender system based on the potential investors’ demographic data and their feedback using fuzzy neural inference solutions. In the proposed model, by combining the experts' knowledge and potential investors’ demographic data, we customized the investment type by the adaptive neuro-fuzzy inference recommender system. According to different functions, the design of the model is processed into three phases: data gathering, data analysis, and decision. The proposed algorithm was deployed in JMP and MATLAB. We designed a novel combined recommender system framework which recommends relevant and accurate recommendations to the investor for the most appropriate investment type or product.
DOI: 10.4121/e6e1713a-0c2b-4775-a7f4-9e6e0b2cf40f.v1
title: Meta-analysis of Remotely sensed Evapotranspiration validation with Eddy Covariance

description: The reported RMSE values from 317 articles that use Eddy Covariance to validate Evapotranspiration estimates from remote sensing.
DOI: 10.5281/zenodo.4229851
title: Dataset and analyses for: Active foot placement control ensures stable gait: Effect of constraints on foot placement and ankle moments

description: For this dataset kinematics, ground reaction forces and electromyography data were collected during human treadmill walking. Participants walked on the treadmill at normal and slow walking speed, across different conditions. Apart from unconstrained steady-state walking, these conditions included imposed foot placement and ankle moment constraints. In our analysis we focused on the coupling between CoM kinematic state and foot placement, as well as correlations with muscle activity, reflecting active foot placement control. The results have been presented and discussed in the paper entitled: Active foot placement control ensures stable gait: Effect of constraints on foot placement and ankle moments. Guidelines on how to use this code can be found in the word file "Documentation", which can be found in the zipped folder.
DOI: 10.6084/m9.figshare.21483018
title: Genome annotation of Corsac fox

description: Genome annotation of Corsac fox
DOI: 10.6084/m9.figshare.21483018.v1
title: Genome annotation of Corsac fox

description: Genome annotation of Corsac fox
DOI: 10.5281/zenodo.7993598
title: Data of Semi-Arid Climate and Environment Observatory Station of Lanzhou University (SACOL) (2019.12.09-2021.12.31)

description: <strong>Data Description</strong> The PM<sub>2.5</sub> mass concentrations were observed by using a tapered element oscillating microbalance machine (TEOM, Model RP-1400A, Thermo Scientific, USA) with a temporal resolution of 1 minute. An aethalometer (Model AE31, Magee Scientific, USA) with a PM<sub>2.5</sub> inlet was used to measure the aerosol light absorption coefficients at 370, 470, 520, 590, 660, 880, and 950 nm. Aerosol scattering coefficients of PM<sub>2.5</sub> at 450, 550, and 700 nm wavelengths were observed by using an integrating nephelometer (Model 3563, TSI, USA) with a time resolution of 10 seconds. The micro-pulse lidar was installed approximately 50 m north of the tethered balloon observation site and used to observe atmospheric echoes within 20 km vertically and then invert parameters such as the aerosol σ and aerosol optical depth. The detailed parameters of lidar are shown in Table 1. A tethered balloon (volume: 10 m<sup>3</sup>; payload: 8 kg) was used to carry the following equipment: (1) MA200 micro-aethalometer (Magee Scientific, USA), (2) TSI 9306 optical particle counter (OPC, TSI, USA), (3) KZXLT-II sounding system from the Institute of Atmospheric Physics, and (4) GPSMAP 639sc GPS (GARMIN, USA). Sounding observations were made at 02:00, 08:00, 11:00, 14:00, 17:00, and 20:00 each day from December 9 to 31, 2019. A total of 91 vertical profiles were obtained for each of the available absorbing aerosols, particle number concentrations, and meteorological parameters. The MA200 measures light absorption at 5 wavelengths (375, 470, 528, 625 and 880 nm), and a dual-spot® compensation for loading effect correction is available. The MA200 observations have been converted to 550 nm in this data based on the AAE during the observation period. OPC was used to measure the particle number concentrations and particle number size distribution in the 0–10 μm size range. The temporal resolutions of MA200 and OPC were ~ 10 s, and their vertical resolutions were ~ 10 m. KZXLT-II sounding system was used to measure the vertical distribution of meteorological elements. GPS was used to measure real-time altitude. <strong>Table 1.</strong> Main parameters of micro-pulse lidar Projects Parameters Detector Avalanche laser APD, photon counting model Observation band 532 nm Pulse frequency 2500 Hz Pulse energy 3~4 µJ Maximum observation range 15 km Time resolution 1 min Vertical Resolution 30 m
DOI: 10.6084/m9.figshare.23275499
title: List of local Hot Food Takeaway SPDs/ guidance

description: List of local Hot Food Takeaway Supplementary Planning Documents, Planning Guidance or Advice Notes
DOI: 10.6084/m9.figshare.23275469
title: List of local Health Impact Assessment SPDs/ guidance

description: Local authority Health Impact Assessment Supplementary Planning Documents, Planning Guidance or Advice Notes
DOI: 10.6084/m9.figshare.23275469.v1
title: List of local Health Impact Assessment SPDs/ guidance

description: Local authority Health Impact Assessment Supplementary Planning Documents, Planning Guidance or Advice Notes
DOI: 10.5281/zenodo.7479227
title: Dataset for a systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges

description: The Microsoft Excel files containing the data and diagrams of the paper: <strong>A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges</strong> The article is under review in the Journal of Systems and Software. The search for literature was performed between November and December 2022, and studies published until that date were mentioned in the attached files.
DOI: 10.5281/zenodo.7479226
title: Supplementary data for a systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges

description: The Microsoft Excel files containing the supplementary data and diagrams for the paper: <strong>A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges</strong> The article is under review in the Journal of Systems and Software. In this version, the literature search has been performed between April and May 2023, and studies published until that date has been mentioned in the attached Excel files. This version (v3.4.0) corresponds to the third revision (R3) of the manuscript.
description: This version (v3.4.0) corresponds to the third revision (R3) of the manuscript.
DOI: 10.5281/zenodo.7718571
title: Supplementary data for a systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges

description: The Microsoft Excel files containing the supplementary data and diagrams for the paper: <strong>A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges</strong> The article is under review in the Journal of Systems and Software. The search for literature was performed between November and December 2022, and studies published until that date were mentioned in the attached files.
DOI: 10.5281/zenodo.7788566
title: Supplementary data for a systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges

description: The Microsoft Excel files containing the supplementary data and diagrams for the paper: <strong>A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges</strong> The article is under review in the Journal of Systems and Software. In this version, the literature search has been performed between January and February 2023, and studies published until that date has been mentioned in the attached Excel files.
description: This version (v4) is for the second revision (R2).
DOI: 10.5281/zenodo.7993619
title: Supplementary data for a systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges

description: The Microsoft Excel files containing the supplementary data and diagrams for the paper: <strong>A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges</strong> The article is under review in the Journal of Systems and Software. In this version, the literature search has been performed between April and May 2023, and studies published until that date has been mentioned in the attached Excel files. This version (v3.4.0) corresponds to the third revision (R3) of the manuscript.
description: This version (v3.4.0) corresponds to the third revision (R3) of the manuscript.
DOI: 10.57780/esa-11g65ty
title: VEX-V-VIRTIS-2-3-EXT3

description: This release contains data files and computed geometry from the VIRTIS instrument on board the Venus Express spacecraft. This data set contains raw and calibrated data from MTP 57 (2010-08-21) to 87 (2013-01-05) corresponding to the mission extension 3. [truncated see actual data for full text]
DOI: 10.57780/esa-1mtuycr
title: VEX-V-Y-MAG-2-EXT4

description: This data set comprises uncalibrated data from the Venus Express Mag (MAG) instrument. The data were collected during the Venus Express mission from Launch (9th November 2005) to the end of the mission. The basic data is comprised of uncalibrated raw data along with geometry information. Also included documentation. [truncated see actual data for full text]
DOI: 10.57780/esa-2mhdpxc
title: VEX-V-SPI-2-UVRDR-CLEANED

description: The Venus Express SPICAV level 1A UV data set contains cleaned measurements from the ultra violet SPICAV spectrometer collected during the Venus phase from the 9th November 2005 to the end of the nominal mission. [truncated see actual data for full text]
DOI: 10.57780/esa-3geurbr
title: VEX-V-SW-ASPERA-2-EXT3-NPI

description: This data set contains Venus Express ASPERA-4 Neutral Particle Imager (NPI) data that have been acquired during the extended mission phase 3. The data are provided in raw units of counts/accumulation. [truncated see actual data for full text]
DOI: 10.57780/esa-46ah4sd
title: VEX-SUN-ASPERA4-4-SWM

description: This data set contains Venus Express ASPERA-4 IMA solar wind parameters from July 12 2006 to November 27 2014. [truncated see actual data for full text]
DOI: 10.57780/esa-89k0z5c
title: VEX-V-Y-MAG-3-EXT4

description: This data set comprises uncalibrated data from the Venus Express Mag (MAG) instrument. The data were collected during the Venus Express mission from Launch (9th November 2005) to the end of the mission. The basic data is comprised of uncalibrated raw data along with geometry information. Also included documentation. [truncated see actual data for full text]
DOI: 10.57780/esa-9exeqk7
title: VEX-V-SPI-2-UVRDR-CLEANED-EXT2

description: The Venus Express SPICAV level 1A UV data set contains cleaned measurements from the ultra violet SPICAV spectrometer collected during the EXT2 phase from May the 2nd 2009 to August the 12th 2010. [truncated see actual data for full text]
DOI: 10.57780/esa-9msb628
title: VEX-Y-V-SPI-2-IREDR-RAWXCRU-VENUS

description: The Venus Express SPICAV level 0B IR data set contains raw measurements from the infra red SPICAV spectrometer collected during the cruise and VENUS phases from the 9th November 2005 to the end of the mission. [truncated see actual data for full text]
DOI: 10.57780/esa-9yy8ixy
title: VEX-V-Y-MAG-3-EXT3

description: This data set comprises uncalibrated data from the Venus Express Mag (MAG) instrument. The data were collected during the Venus Express mission from Launch (9th November 2005) to the end of the mission. The basic data is comprised of uncalibrated raw data along with geometry information. Also included documentation. [truncated see actual data for full text]
DOI: 10.57780/esa-b2elwfr
title: VEX-V-VMC-3-RDR

description: This data set contains images taken by the Venus Monitoring Camera (VMC) in orbit around Venus. VMC is on board of Venus Express. The images were taken from launch (9/11/05) to the end of the nominal mission. [truncated see actual data for full text]
DOI: 10.57780/esa-cp8pkmu
title: VEX-V-VIRTIS-2-3-EXT2

description: This release contains data files and computed geometry from the VIRTIS instrument on board the Venus Express spacecraft. This data set contains raw and calibrated data from MTP 41 (2009-05-30) to 56 (2010-08-21) corresponding to the mission extension 1. [truncated see actual data for full text]
DOI: 10.57780/esa-eay3752
title: VEX-E-V-SPICE-6

description: This data set includes the complete set of Venus Express mission SPICE data files (``kernel files'') which can be accessed using SPICE software. The SPICE data contains geometric and other ancillary information needed to recover the full value of the science instrument data. In particular SPICE kernels provide spacecraft and planetary ephemerides instrument mounting alignments spacecraft orientation spacecraft sequences of events and data needed for relevant time conversions. [truncated see actual data for full text]
DOI: 10.57780/esa-g9p3lrh
title: VEX-V-Y-MAG-3-EXT1

description: This data set comprises calibrated data from the Venus Express Mag (MAG) instrument. The data were collected during the Venus Express mission from start of nominal mission (14 May 2006) to the end of the nominal mission. Also included documentation. [truncated see actual data for full text]
DOI: 10.57780/esa-hrwdu26
title: VEX-V-Y-MAG-2-EXT2

description: This data set comprises uncalibrated data from the Venus Express Mag (MAG) instrument. The data were collected during the Venus Express mission from Launch (9th November 2005) to the end of the mission. The basic data is comprised of uncalibrated raw data along with geometry information. Also included documentation. [truncated see actual data for full text]