cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17876/plate/dr.3/plates/401_72097
title: Digital object identifier (DOI) for the plate 72097 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72098
title: Digital object identifier (DOI) for the plate 72098 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72099
title: Digital object identifier (DOI) for the plate 72099 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72100
title: Digital object identifier (DOI) for the plate 72100 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72101
title: Digital object identifier (DOI) for the plate 72101 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72102
title: Digital object identifier (DOI) for the plate 72102 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72103
title: Digital object identifier (DOI) for the plate 72103 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72104
title: Digital object identifier (DOI) for the plate 72104 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72105
title: Digital object identifier (DOI) for the plate 72105 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72106
title: Digital object identifier (DOI) for the plate 72106 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72107
title: Digital object identifier (DOI) for the plate 72107 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72108
title: Digital object identifier (DOI) for the plate 72108 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72109
title: Digital object identifier (DOI) for the plate 72109 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72110
title: Digital object identifier (DOI) for the plate 72110 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72111
title: Digital object identifier (DOI) for the plate 72111 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72112
title: Digital object identifier (DOI) for the plate 72112 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72113
title: Digital object identifier (DOI) for the plate 72113 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72114
title: Digital object identifier (DOI) for the plate 72114 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72115
title: Digital object identifier (DOI) for the plate 72115 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72116
title: Digital object identifier (DOI) for the plate 72116 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72117
title: Digital object identifier (DOI) for the plate 72117 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72118
title: Digital object identifier (DOI) for the plate 72118 in archive 401 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/401_72119
title: Digital object identifier (DOI) for the plate 72119 in archive 401 from the APPLAUSE DR3
DOI: 10.6084/m9.figshare.24921432
title: pH-dependent induction of opaque-like <i>C. auris</i>

description: Applied here are files containing the counts of pink Phloxine B-positive colonies as a percentage of total colonies on pH-controlled Lee's medium with either glucose or GlcNac as carbon source. [R] code for the production of graphs based on this data using ggplot2 and the resulting images are also included.
DOI: 10.6084/m9.figshare.24921432.v1
title: pH-dependent induction of opaque-like <i>C. auris</i>

description: Applied here are files containing the counts of pink Phloxine B-positive colonies as a percentage of total colonies on pH-controlled Lee's medium with either glucose or GlcNac as carbon source. [R] code for the production of graphs based on this data using ggplot2 and the resulting images are also included.
DOI: 10.6084/m9.figshare.24523270
title: DAS_data&GUI_for_share.zip

description: Dataset demos and codes for DAS-based horizontal ocean current measurement
DOI: 10.6084/m9.figshare.24523270.v1
title: DAS_data&GUI_for_share.zip

description: Dataset demos and codes for DAS-based horizontal ocean current measurement
DOI: 10.21227/h22a-xj82
title: Dataset for MTS4WaterR: Predicting Gate Operation in Open Canal Control with Multi-Task Sequential Model

description: This is the dataset used in the paper MTS4WaterR: Predicting Gate Operation in Open Canal Control with Multi-Task Sequential Model, consisting of 2 main parts, used to train the evaluator and the learner neural networks, respectively.Each part contains several files:- in_x.txt: The input of the neural network of canal segment No. x. Each row is one piece of data. The first column is the initial total water discharge. For the evaluator, other columns represent the gate opening size of each canal gate. For the learner, other columns represent the given water discharge requirements of each canal gate.- out_x.txt: The output of the neural network of canal segment No. x. Each row is one piece of data. Each column represents the target water discharge of each canal gate.- data_x.txt: The normalized static feature values of each canal gate of segment No. x, processed by min-max normalization method. Each row represents a canal gate.- index_x.txt: The static feature values of each canal gate of segment No. x after feature discretization. Each row represents a canal gate.- prev_x.txt: Only exists in the learner part. Each row is one piece of data, represents the gate opening size of the last timestamp of each canal gate of segment No. x.
DOI: 10.6084/m9.figshare.24921447
title: Time-course yEGFP induction from a <i>MAL2 </i>inducible promoter construct in <i>C. auris</i>

description: Shown here are absorbance data from yEGFP induction from a <i>MAL2 </i>inducible promoter construct in response to incubation in maltose-containing media. Data obtained at various timepoints. [R] code for generation of graphs by ggplot2 from this data, along with the comma delimited files needed and output plot images are also available.
DOI: 10.6084/m9.figshare.24921447.v1
title: Time-course yEGFP induction from a <i>MAL2 </i>inducible promoter construct in <i>C. auris</i>

description: Shown here are absorbance data from yEGFP induction from a <i>MAL2 </i>inducible promoter construct in response to incubation in maltose-containing media. Data obtained at various timepoints. [R] code for generation of graphs by ggplot2 from this data, along with the comma delimited files needed and output plot images are also available.
DOI: 10.6084/m9.figshare.24921441
title: Preliminary data of <i>CaPBase </i>induction via the <i>MAL2 </i>and <i>PCK1 </i>inducible promoter constructs in <i>C. auris</i>

description: Show here are the data counts indicative of transposition events of the <i>piggyBac </i>transposon system in response to induction via the <i>MAL2 </i>and <i>PCK1 </i>inducible promoter constructs created by these authors. [R] code for graph preparation using ggplot2 and resulting figure images are also available.
DOI: 10.6084/m9.figshare.24921441.v1
title: Preliminary data of <i>CaPBase </i>induction via the <i>MAL2 </i>and <i>PCK1 </i>inducible promoter constructs in <i>C. auris</i>

description: Show here are the data counts indicative of transposition events of the <i>piggyBac </i>transposon system in response to induction via the <i>MAL2 </i>and <i>PCK1 </i>inducible promoter constructs created by these authors. [R] code for graph preparation using ggplot2 and resulting figure images are also available.
DOI: 10.6084/m9.figshare.24593034
title: Biofilm formation in <i>C. auris </i>as shown by crystal violet assay - data and code.

description: Biofilm formation assayed by crystal violet in a library of <i>C. auris </i>strains (<i>C. glabrata </i>ATCC 2001 and <i>C. albicans </i>SC5314 featured as controls). All readouts, including a normalization of them compared to <i>C.albicans </i>are featured in 'Normalized_Data.xlsx', an [R]-friendly transformation of the readouts (not normalized) is available in 'all_strains.csv', the code to process the data along with explanations on what the code does is given as an .r file (easily managed in RStudio) and the output plot is 'Biofilm_formation_all_strains_redone.tiff'. Strains were ordered and coloured based on clade affiliation: red - clade I, beige - clade II, green - clade III, light blue - clade IV. Control strains are shown in blue.
DOI: 10.6084/m9.figshare.24593034.v1
title: Biofilm formation in <i>C. auris </i>as shown by crystal violet assay - data and code.

description: Biofilm formation assayed by crystal violet in a library of <i>C. auris </i>strains (<i>C. glabrata </i>ATCC 2001 and <i>C. albicans </i>SC5314 featured as controls). All readouts, including a normalization of them compared to <i>C.albicans </i>are featured in 'Normalized_Data.xlsx', an [R]-friendly transformation of the readouts (not normalized) is available in 'all_strains.csv', the code to process the data along with explanations on what the code does is given as an .r file (easily managed in RStudio) and the output plot is 'Biofilm_formation_all_strains_redone.tiff'. Strains were ordered and coloured based on clade affiliation: red - clade I, beige - clade II, green - clade III, light blue - clade IV. Control strains are shown in blue.
DOI: 10.5281/zenodo.10446055
title: Col2creER;Confettihet_gE14.5_E18.5_litter153_m7

description: Raw dated related to the following manuscript:

https://www.biorxiv.org/content/10.1101/2023.11.14.567062v2
DOI: 10.5281/zenodo.10446054
title: Col2creER;Confettihet_gE14.5_E18.5_litter153_m7

description: Raw dated related to the following manuscript:

https://www.biorxiv.org/content/10.1101/2023.11.14.567062v2
DOI: 10.34740/kaggle/dsv/7312057
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.23506593
title: <b>Forest c</b><b>arbon sink in </b><b>n</b><b>orth China increased in </b><b>recent </b><b>20 years, but decreased in extreme drought years</b>

description: The data were applied to explore the spatial and temporal dynamics of forest carbon sinks in North China from 2000 to 2020, including(1)The NPP data (tif) in 2000,2005,2010,2015,2020, MOD17A3 product ofMODIS, is an 8-day cumulative annual composite with a resolution of 500m.(2) China Land Cover Dataset (CLCD) (tif) in 2000,2010,2020, produced by Yang and Huang (2021) with a resolution of 30m.(3) The annual climate data (csv) from 2000 to 2020 calculated from the meteorological stations in North China, obtained from the National Meteorological Science Data Center (http://data.cma.cn/).(4) The soil respiration data (csv) of North China, provided in Sun et al. (2022), was applied for validation.
DOI: 10.6084/m9.figshare.23506593.v1
title: <b>Forest c</b><b>arbon sink in </b><b>n</b><b>orth China increased in </b><b>recent </b><b>20 years, but decreased in extreme drought years</b>

description: The data were applied to explore the spatial and temporal dynamics of forest carbon sinks in North China from 2000 to 2020, including(1)The NPP data (tif) in 2000,2005,2010,2015,2020, MOD17A3 product ofMODIS, is an 8-day cumulative annual composite with a resolution of 500m.(2) China Land Cover Dataset (CLCD) (tif) in 2000,2010,2020, produced by Yang and Huang (2021) with a resolution of 30m.(3) The annual climate data (csv) from 2000 to 2020 calculated from the meteorological stations in North China, obtained from the National Meteorological Science Data Center (http://data.cma.cn/).(4) The soil respiration data (csv) of North China, provided in Sun et al. (2022), was applied for validation.
DOI: 10.5281/zenodo.10446091
title: Col2creER;Confettihet_gP30_P40_litter152_m3_DF

description: Raw dated related to the following manuscript:

https://www.biorxiv.org/content/10.1101/2023.11.14.567062v2
DOI: 10.5281/zenodo.10446092
title: Col2creER;Confettihet_gP30_P40_litter152_m3_DF

description: Raw dated related to the following manuscript:

https://www.biorxiv.org/content/10.1101/2023.11.14.567062v2
DOI: 10.25919/jgrj-pk09
title: Parkes observations for project P1171 semester 2023OCTS_12

description: The origin of Fast Radio Bursts (FRBs) is still unclear with a plethora of theoretical models for their origin. Several models predict associated multi-wavelength emission, but previous searches for optical, X-ray or gamma-ray counterparts of FRBs have not led to any detection. The Galactic magnetar SGR 1935+2154A has been observed to simultaneously emit FRB-like bursts and X-ray flares, which suggests that also extragalactic FRB sources may exhibit X-ray counterparts.
 
 Because of the high cost of X-ray satellites and in face of the relatively low FRB detection probability in their small field of view, coordinated radio and X-ray observations are logistically very difficult to set up. We propose a new approach using the X-ray satellite XMM-Newton and the Parkes/Murriyang radio telescope to put constraints on the theoretical models: We aim to conduct shadowing observations with the Parkes telescope to search for new FRBs in fields that are simultaneously covered by XMM-Newton. We hereby target regular XMM observations of nearby (low-z) galaxies, to increase our detection chances of possibly associated X-ray emission. In case of an FRB detection in the radio band, we will have guaranteed simultaneous X-ray coverage and will get detailed information about the associated X-ray spectrum and light curve since all XMM-Newton data will become public a year after the observation.
DOI: 10.6084/m9.figshare.24921504
title: athletes' data.xlsx

description: Sports injuries in college students specialized in Chinese martial arts.
DOI: 10.6084/m9.figshare.24921504.v1
title: athletes' data.xlsx

description: Sports injuries in college students specialized in Chinese martial arts.
DOI: 10.5281/zenodo.10442778
title: Data from teacher education students (neuromyths and general brain knowledge).

description: These are the data collected among students enrolled in the Bachelor's degrees in Early Childhood Education, Primary Education, and Primary Education in English, in the survey on neuromyths published by Dekker et al., 2012, following the Spanish version by Ferrero et al., 2016. The PDF document includes the list of neuromyths and general brain knowledge statements coded in the dataset.
DOI: 10.5281/zenodo.10442779
title: Data from teacher education students (neuromyths and general brain knowledge).

description: These are the data collected among students enrolled in the Bachelor's degrees in Early Childhood Education, Primary Education, and Primary Education in English, in the survey on neuromyths published by Dekker et al., 2012, following the Spanish version by Ferrero et al., 2016. The PDF document includes the list of neuromyths and general brain knowledge statements coded in the dataset.
DOI: 10.5281/zenodo.10446120
title: Col2creER;Confettihet_gP30_P40_litter152_m3_PT

description: Raw dated related to the following manuscript:

https://www.biorxiv.org/content/10.1101/2023.11.14.567062v2
DOI: 10.5281/zenodo.10446121
title: Col2creER;Confettihet_gP30_P40_litter152_m3_PT

description: Raw dated related to the following manuscript:

https://www.biorxiv.org/content/10.1101/2023.11.14.567062v2
DOI: 10.5281/zenodo.10446130
title: Col2creER;Confettihet_gP30_P40_litter152_m4_DF

description: Raw dated related to the following manuscript:

https://www.biorxiv.org/content/10.1101/2023.11.14.567062v2
DOI: 10.5281/zenodo.10446131
title: Col2creER;Confettihet_gP30_P40_litter152_m4_DF

description: Raw dated related to the following manuscript:

https://www.biorxiv.org/content/10.1101/2023.11.14.567062v2
DOI: 10.15121/1872549
title: Seismic Survey 2016 Metadata at San Emidio, Nevada

description: 1301 Vertical Component seismic instruments were deployed at San Emidio Geothermal field in Nevada in December 2016. The first record starts at 2016-12-05T02:00:00.000000Z (UTC) and the last record ends at 2016-12-11T14:00:59.998000Z (UTC). Data are stored in individual files in one-minute increments. Data includes seismic station locations, seismic data logger specifications, instrumentation specifications, descriptions of data, a fracture finding summary and the final report for the 2016 WHOLESCALE seismic survey done in San Emidio, Nevada.
DOI: 10.15121/2008357
title: Seismic Survey 2016 Data at San Emidio Nevada

description: In December 2016, 1301 vertical-component seismic instruments were deployed at the San Emidio Geothermal field in Nevada. The first record starts at 2016-12-05T02:00:00.000000Z (UTC) and the last record ends at 2016-12-11T14:00:59.998000Z (UTC). Data are stored in individual files in one-minute increments in SEGD and MSEED formats. See the metadata in GDR submission (linked below as "Seismic Survey 2016 Metadata at San Emidio Nevada") for details about the seismic station locations, seismic data logger specifications, instrumentation specifications, descriptions of data, a fracture finding summary, and the final report for the 2016 seismic survey done in San Emidio, Nevada.
DOI: 10.17632/3brbjpt39s.2
title: Peak Energy Demand in the Electricity Energy Dataset BanE-16

description: The Peak Energy Demand in the Electricity Grid Dataset includes various data types such as: Numeric Data: This comprises numerical measurements related to energy consumption, temperature, wind speed, preceptor. Time Series Data: Information recorded over time intervals, showcasing patterns and trends in energy consumption or demand. The dataset likely contains a mix of these data types to facilitate comprehensive analysis and prediction of peak energy demand within the electricity grid with some environmental variable.
DOI: 10.25493/x9rm-jm9
title: F-TRACT: a probabilistic atlas of anatomo-functional connectivity of the human brain (F-TRACT_P_10_v2210)

description: These data come from a cohort of adult patients suffering from pharmaco-resistant focal epilepsies who in the course of preparation to a brain surgery were implanted with intracerebral stereoencephalographic (SEEG) electrodes. The protocol involved brain stimulation at a single site and a simultaneous recording with all remaining contacts on a number of electrodes. Beyond medical aim, performing a number of such stimulations in a single patient allows to infer partial information about their brain anatomo-functional connectivity. What is more, aggregating data from a large cohort of such patients, thus from implantations at different brain regions, allows to derive probabilistic connectivity of the whole human brain. This was achieved by the Functional Tractography project ((F-TRACT)[https://f-tract.eu]) and the results are shared in this dataset. The aggregated data are projected onto a number of parcellations. They describe probabilistic connectivity and connectivity features (such as signal propagation delay) in a context of two parcels: the stimulated and the recorded one. A map for one feature in one parcellation is expressed as a square matrix that can be asymmetric. These matrices were derived from signal analysis of responses to stimulation on an individual level and then aggregation of results on the group level. They can be used to inform about connectivity strength and latency of signal propagation between different areas of the human brain. The naming convention for the atlas versions is the following: "F-TRACT\_P\_XX\_vYYMM" "F-TRACT" and "P" are the common across versions. "F-TRACT" stands for "functional tractography" and "P" stands for "parcellation-based". "XX" varies across alternative versions of a major atlas release and refers to different quality assessments of the same source data as binary code. "vYYMM" varies only across major atlas releases where "YYMM" refers to the year and month of the release. Note that major atlas releases can differ in the source data and/or in the selection of the applied parcellations.
DOI: 10.26208/q845-pn39
title: The Lake-Effect Snow Ensemble Reanalysis Version 1.0 Dataset

description: Abstract of Purpose and Method:   The Lake-Effect Snow Ensemble Reanalysis version 1.0 dataset contains hourly gridded atmospheric variables for the Great Lakes region, focusing on events during the NSF OWLeS field campaign, which took place in December 2013 and January 2014.   A reanalysis represents the best estimate of the state of the atmosphere by combining observations that are sparse in space and time with a dynamical model and weighting them by their uncertainties. This reanalysis uses the Penn State University Ensemble Kalman Filter (PSU EnKF) for data assimilation with Weather Research and Forecasting (WRF) model. Observations that are assimilated include conventional surface and atmospheric observations from NOAA. The dataset includes gridded fields of temperature, wind, surface pressure, and precipitation fields, and is downloadable as netCDF files. Companion papers, cited below, further describe this dataset as well as apply it to scientific studies.
DOI: 10.5066/p9uxtq4b
title: Engineering Soil Classification and Geotechnical Measurements in Lares, Naranjito, and Utuado, Puerto Rico

description: The data includes soil texture, soil-water, and estimated soil strength properties for soil map units and from geotechnical investigations of landslide areas affecting highways in the municipalities of Lares, Naranjito, and Utuado, Puerto Rico.
DOI: 10.5067/gfl20-mc060
title: GRACE-FO Monthly Geopotential Spherical Harmonics CSR Release 6.0
DOI: 10.5067/gfl20-mj060
title: GRACE-FO Monthly Geopotential Spherical Harmonics JPL Release 6.0
DOI: 10.5281/zenodo.10158159
title: Data and codes for the self-consistent analysis of GUVI and SEE observations

description: This dataset contains the data and Matlab codes that can be used to reproduce all the figures in the following manuscript:
Resolving some longstanding issues in far ultraviolet remote sensing: A self-consistent analysis of the GUVI and SEE observations on the TIMED mission
DOI: 10.5281/zenodo.8388548
title: Wildfire Information and Trace Gas Enhancement Ratios

description: Wildfire Information, FRP statistics, TROPOMI ∆NO2/∆CO, and TROPOMI ∆HCHO/∆CO from "Analyzing the Impact of Evolving Combustion Conditions on the Composition of Wildfire Emissions Using Satellite Data"
DOI: 10.15121/2006837
title: WHOLESCALE: Coordinates of wells at San Emidio, Nevada

description: This dataset includes position coordinates and elevation information for wells at the WHOLESCALE San Emidio project location. Well positions in the attached file are characterized by UTM coordinates (Easting, Northing) in meters, and WHOLESCALE coordinates (Easting, Northing) relative in meters from a chosen reference point. The elevation of the top and bottom of open intervals within each well (representing locations of perforated or open-hole sections) are measured in meters (positive) above WGS84 geoid (mean sea level). The WHOLESCALE acronym stands for Water & Hole Observations Leverage Effective Stress Calculations and Lessen Expenses. The goal of the WHOLESCALE project is to simulate the spatial distribution and temporal evolution of stress in the geothermal system at San Emidio in Nevada, United States.
DOI: 10.5281/zenodo.6637715
title: Data for solid waste detection in Medellín.

description: Accuracy Assessment of classifications of the 25 study sites of Medellín. Variables included: Building presence, Garbage type, segmentation factors, compactness value, User Accuracy, and Producer Accuracy for every class. Accuracy Assessment of the segmentation tests for each combination of segmentation values, for AOIs tested: 1, 6, 14, 17, 25. Variables included: segmentation factors, area of training segment [m2], area of intersection with reference data [m2], overSegmentation, underSegmentation, Area Fit Index, Root Square Mean, Quality Rate. Rate of segments being non squares for AOIs tested: 1, 6, 14, 17, 25.