cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7j1018x
title: Average well color development data for water samples from six locations within the historic section of Mammoth Cave National Park, Kentucky

description: Water samples were collected from six cave locations where Actinobacterial mats appeared to be plentiful. Community-level physiological capabilities were evaluated using Biolog-Ecolog plates inoculated with cave water dosed with 0 or 0.10 milligrams per liter (mg/L) of erythromycin. The data were transformed into average well color development (AWCD). The transformation is done by subtracting the background color development (blank controls) and then averaging the three color readings of the same treatment on the same Biolog EcoPlate. Each EcoPlate has three replicates of 31 different substrates (potential bacterial food) that the microbial community can potentially metabolize and thereby transform a clear dye into blue color. The color transformation is measured using a spectrophotometric plate reader at 595 nanometer wavelength. The readings take place every 24 hours over a 5-day period. As noted earlier, we compensate for background color by taking readings from three blank wells containing no substrate, just dye and bacteria. The AWCD for each site and 24-hour reading is reported in this data release.
DOI: 10.5066/p9e3ikxe
title: Digital data documenting the evolution of Miocene normal and dextral faulting in the lower Colorado River region near Blythe, California, USA

description: These datasets provide the measurements and analytical data used to describe the evolution of Neogene faulting near Blythe, California. The data include structural measurements and results from Ar-Ar and U-Pb geochronology that address the research questions of the associated publication. Structural measurement datasets provide fault surface kinematic measurements and tabulations of structural data used in the manuscript stereoplots. Argon datasets include analytical data from Ar-Ar geochronology. U-Pb datasets include analytical data from calcite samples synkinematic with fault movement. Shear estimate datasets include estimations of fault slip magnitude in the Blythe region. These datasets are associated with a manuscript accepted for publication: Mavor, S.P., Bennett, S.E.K., Crow, R.S., Singleton, J.S., Langenheim, V., Stockli, D., Stelten, M., Brickey, T.A., Sr., Umhoefer, P.J., and Beard, L.S., 2023, Evolution of Miocene normal and dextral faulting in the lower Colorado River region near Blythe, California, USA: Geosphere, v. 19, https://doi.org/10.1130/GES02608.1.
DOI: 10.5066/p9imafnn
title: Oregon spotted frog (Rana pretiosa) captures before and after drought mitigation at Jack Creek, Oregon 2009-2021

description: Amphibians are among the most sensitive taxa to climate change, and species inhabiting arid and semiarid landscapes at the extremes of their range are especially vulnerable to periods of drought. The Jack Creek, Oregon, USA population of Oregon spotted frogs (Rana pretiosa) faces unique challenges occupying the highest elevation site in the species’ extant range and one that has been hydrologically transformed by loss of American beaver (Castor canadensis). We evaluated the effect of drought mitigation (addition of excavated ponds) on relationships between local water availability, legacy beaver dams, and R. pretiosa population dynamics in the Jack Creek system. We conducted capture-mark-recapture sampling at a treatment reach with excavated ponds and 3 reference reaches over 13 years; surveys spanned a period before and after pond excavation at the treatment and one reference reach. This dataset contains capture data and covariates used in the robust design capture-mark-recapture analysis to characterize population dynamics, described in Rowe et al. 2023. Rowe, J.C., Pearl, C.A., Duarte, A., McCreary, B., and Adams, M.J., 2023, Population dynamics of the threatened Oregon spotted frog (Rana pretiosa) before and after drought mitigation: Journal of Wildlife Management, in review.
DOI: 10.5066/p9x9zee3
title: Model subareas and moisture zones used in a sensitivity analysis of a water-budget model completed in 2022 for the islands of Oahu and Maui, Hawaii

description: A sensitivity analysis of groundwater-recharge estimates from a water-budget model was completed for the islands of Oahu and Maui, Hawaii (Johnson and others, 2023). Results of the sensitivity analysis were used to quantify the relative importance of selected model parameters to recharge estimates for three moisture zones (dry, mesic, and wet) on Oahu and Maui. These shapefiles contain the boundaries of the moisture zones and boundaries of the model subareas that were used in the model simulations for Oahu and Maui. Attributes in the shapefiles include the names of the land-cover types assigned to model subareas and the mean annual recharge values determined for the model subareas for the baseline scenario of the sensitivity analysis.
DOI: 10.5281/zenodo.8396226
title: The evolvement of ULVZ at LLSVP margins--supporting materials

description: This tar.gz file is created and uploaded for the submission of the manuscript titled '<em>The evolvement of dense ULVZs at LLSVP margins and implications</em>' to the journal <em>Geophysical Research Letters</em>. This tar.file contains four directories /F1, /F2, /F3, /F4 with data used to plot Figures 1, 2, 3, 4, respectively, in the supporting material. The data follows the same convention as that in doi10.5281/zenodo.8394882 and 10.5281/zenodo.8394637.
DOI: 10.5281/zenodo.8396225
title: The evolvement of ULVZ at LLSVP margins--supporting materials

description: This tar.gz file is created and uploaded for the submission of the manuscript titled '<em>The evolvement of dense ULVZs at LLSVP margins and implications</em>' to the journal <em>Geophysical Research Letters</em>. This tar.file contains four directories /F1, /F2, /F3, /F4 with data used to plot Figures 1, 2, 3, 4, respectively, in the supporting material. The data follows the same convention as that in doi10.5281/zenodo.8394882 and 10.5281/zenodo.8394637.
DOI: 10.6084/m9.figshare.24225331
title: Demo of taxonomic compositions

description: Demo of taxonomic compositions (only retain the abundance of <i>Cyanobacteria</i> and <i>Proteobacteria</i>).
DOI: 10.6084/m9.figshare.24225331.v1
title: Demo of taxonomic compositions

description: Demo of taxonomic compositions (only retain the abundance of <i>Cyanobacteria</i> and <i>Proteobacteria</i>).
DOI: 10.15151/esrf-es-1299157716
title: IBS BAG

description: The IBS BAG includes in this proposal IBS teams and external groups from CEA-Cadarache (St Paul lez Durance) and IRBA (Brétigny-sur-Orge). We study structure-function relationships of proteins emphasizing in human health, biotechnology and methodology. Most of the projects are a continuation of the MX-2398 proposal and can be grouped into different topics as follows: host-pathogen interaction, new drug targets, fundamental cellular mechanisms, membrane proteins, biotechnological applications and methodology. Some of these projects use integrative approaches (X-ray crystallography, SAXS, NMR (and cryo-EM), together with other biophysical studies) with the aim to fully understand the complexity of the biological macromolecular systems on study.
DOI: 10.15151/esrf-es-1299724183
title: Austrian Crystallographic Diffraction Consortium

description: The Austrian Crystallographic Diffraction Consortium (ACDC) BAG aims at supporting several macromolecular structural biology groups across Austria (in total 20 research groups at 9 institutions in 4 cities). We employ mainly the technique of X-ray crystallography to characterize macromolecular biological complexes, but also solution scattering approaches are frequently used to characterize dynamic assemblies. Approval of this BAG will be essential for researchers in all our groups to carry out their structural studies on various health-related and basic research-oriented topics, which are targeted at characterizing large molecular assemblies or proteins currently under-represented in the PDB, including membrane proteins. Corresponding high-resolution diffraction data are only obtainable through the use of synchrotron radiation sources. Thus regular synchrotron access is highly desirable to maintain a competitive advantage in our individual research fields.
DOI: 10.15151/esrf-es-1300238111
title: Swiss consortium in macromolecular X-ray crystallography structure determination for academic researchers: EPFL, UNIL, UNIGE and SLS-MX joi

description: This proposal is a joined application by major swiss academic universities; EPFL, UNIL, UNIGE and SLS-MX; and lead by Dr. Florence Pojer, head of the protein Production and Structure core facility at EPFL, an expert in X-ray crystallography with over 20 years experience. The applicants are regular users of the MX beamlines at the Swiss Light Source at PSI. As SLS-PSI will close its door in summer 2023 for 2 years, It is now essential for our community to collect data at ESRF. Moreover, the access to the automated MASSIF-1 beamline, managed by Didier Nurizzo and colleagues, will be an amazing value to our current pipeline. A non exhaustive list of projects by the applicants is presented below. The consortium will need around 14 shifts per 6 months, similar to what they currently are allocated at PSI-SLS. Important note; no application was sent to other synchrotron sources.
DOI: 10.34740/kaggle/ds/3675429
title: AI4NTD KK2.0 P3.0 STH & SCHm Dataset
DOI: 10.5281/zenodo.8396258
title: Drilling pressure data-1000/1200/2400/3000mm

description: This file contains time-series data of drilling pressure associated with anchor rod support. The data includes measurements at drilling depths of 1000mm, 1200mm, 2400mm, and 3000mm.
DOI: 10.5281/zenodo.8396257
title: Drilling pressure data-1000/1200/2400/3000mm

description: This file contains time-series data of drilling pressure associated with anchor rod support. The data includes measurements at drilling depths of 1000mm, 1200mm, 2400mm, and 3000mm.
DOI: 10.5281/zenodo.8396285
title: Taxonomy

description: The taxonomy of Dark patterns
DOI: 10.5281/zenodo.8396284
title: Taxonomy

description: The taxonomy of Dark patterns
DOI: 10.5281/zenodo.8163513
title: Grainsize data for IODP U1389A

description: Raw grainsize from Malvern Mastersizer S laser granulometer and derived values of 'Sortable silt mean size' and percentage with tuned age.
description: {"references": ["McCave, I.N., One million years of Mediterranean Outflow strength.", "De Castro, S., et al, 2020. Contourite characterization and its discrimination from other deep-water deposits in the Gulf of Cadiz contourite depositional system. Sedimentology, 68, 987-1027. doi: 10.1111/sed.12813"]}
DOI: 10.5281/zenodo.8396296
title: Dark Pattern Detection Tool Capabilities and Limitations

description: It concludes the details information on Dark pattern tools and their coverage of detecting dark patterns.
DOI: 10.5281/zenodo.8396295
title: Dark Pattern Detection Tool Capabilities and Limitations

description: It concludes the details information on Dark pattern tools and their coverage of detecting dark patterns.
DOI: 10.5281/zenodo.8396300
title: Dark pattern Data Availability

description: It concludes the details information on Dark pattern datasets and their coverage of dark patterns instances.
DOI: 10.5281/zenodo.8396299
title: Dark pattern Data Availability

description: It concludes the details information on Dark pattern datasets and their coverage of dark patterns instances.
DOI: 10.6084/m9.figshare.21983486
title: Probing the solar coronal magnetic field with physics-informed neural networks

description: Results of the corresponding publication, including model save files, and evaluated series.
DOI: 10.6084/m9.figshare.21983486.v1
title: Probing the solar coronal magnetic field with physics-informed neural networks

description: Results of the corresponding publication, including model save files, and evaluated series.
DOI: 10.6084/m9.figshare.21623148
title: Spatial genomics datasets

description: Spatial genomics datasets used in the spaVAE study.<br>ReamME.txt: detailed descriptions of datasets<br>Human_DLPFC.zip: LIBD human dorsolateral prefrontal cortex (DLPFC) data<br>151673_151674_151675_151676_samples_union.h5: combined four samples of human DLPFC data, which is used for batch integrating experiment.<br>Mouse_hippocampus_Slide_seq_v2.h5: mouse hippocampus Slide-seq V2 data<br>Mouse_olfactory_bulb_data.zip: mouse olfactory bulb data<br>HER2_breast_tumor_data.zip: HER2 breast tumor data<br>mouse_brain_10X_dataset.zip: 10X dataset of anterior and posterior of mouse brain<br>MISAR_seq_mouse_E15_brain_data.zip: MISAR-seq mouse E15.5 brain spatial mRNA-seq and spatial ATAC-seq<br>Spatial_CITE_seq_human_tonsil.zip: human tonsil spatial-CITE-seq multiomics data<br>Spatial_DBiT_seq_mouse_embryo.zip: mouse embryonic brain DBiT-seq multiomics data<br>
DOI: 10.6084/m9.figshare.21623148.v4
title: Spatial genomics datasets

description: Spatial genomics datasets used in the spaVAE study. <br> Human_DLPFC.zip: LIBD human dorsolateral prefrontal cortex (DLPFC) data <br> 151673_151674_151675151676_samples_union.h5: combined four samples of human DLPFC data, which is used for batch integrating experiment. <br> Mouse_hippocampus_Slide_seq_v2.h5: mouse hippocampus Slide-seq V2 data <br> Mouse_olfactory_bulb_data.zip: mouse olfactory bulb data <br> HER2_breast_tumor_data.zip: HER2 breast tumor data <br> Multiomics_DBiT_seq_0713_data.h5: mouse embryonic brain DBiT-seq multiomics data <br> mouse_brain_10X_dataset.zip: 10X dataset of anterior and posterior of mouse brain <br> MISAR_seq_mouse_E15_brain_data.zip: MISAR-seq mouse E15.5 brain spatial mRNA-seq and spatial ATAC-seq
DOI: 10.5281/zenodo.8396274
title: Doppler lidar measurements from Abrego lidar at IPPT PAN (Warsaw)

description: This is data set includes Doppler wind lidar measurements performed between 14/06/2023 and 03/07/2023 at the rooftop of IPPT PAN (Warsaw, Poland; 52.2067ºN, 20.9811ºE, 134 m a.s.l.) in the framework of PURER-EXP campaign (Polish NCN, PURER-SENS project 2021/40/C/ST10/00023). The system Abrego is a Doppler lidar Stream Line (Halo Photonics), belonging to PI Lucas Alados-Arboledas from the University of Granada (Spain), which is part of ACTRIS-Cloudnet (Illingworth et al., 2007). The system laser emits at 1.5 μm and the detector is heterodyne using fiber-optic technology. The measurements for this data set consisted of continuous vertical measurements with a resolution of 30 m and 1 s in space and time, interrupted by step-stare conical scans with constant elevation of 70° and 12 equidistant azimuth points performed every 30 min, followed by continuous-mode conical sector scans with an elevation of 70° and azimuth angle resolution of 0.88°, and continuous-mode RHI scan with an azimuth of 12.8° and elevation angle resolution of 0.89°. For more details about the campaign and the measurements please contact P. Ortiz-Amezcua (portizamezcua@outlook.com)
description: Funding: Polish National Science Centre (NCN) under SONATINA 5 call, through project PURER-SENS (2021/40/C/ST10/00023) We acknowledge Instytut Podstawowych Problemów Techniki - Polskiej Akademii Nauk (IPPT PAN) for allowing the instrument installation and performance.
DOI: 10.5281/zenodo.8396273
title: Doppler lidar measurements from Abrego lidar at IPPT PAN (Warsaw)

description: This is data set includes Doppler wind lidar measurements performed between 14/06/2023 and 03/07/2023 at the rooftop of IPPT PAN (Warsaw, Poland; 52.2067ºN, 20.9811ºE, 134 m a.s.l.) in the framework of PURER-EXP campaign (Polish NCN, PURER-SENS project 2021/40/C/ST10/00023). The system Abrego is a Doppler lidar Stream Line (Halo Photonics), belonging to PI Lucas Alados-Arboledas from the University of Granada (Spain), which is part of ACTRIS-Cloudnet (Illingworth et al., 2007). The system laser emits at 1.5 μm and the detector is heterodyne using fiber-optic technology. The measurements for this data set consisted of continuous vertical measurements with a resolution of 30 m and 1 s in space and time, interrupted by step-stare conical scans with constant elevation of 70° and 12 equidistant azimuth points performed every 30 min, followed by continuous-mode conical sector scans with an elevation of 70° and azimuth angle resolution of 0.88°, and continuous-mode RHI scan with an azimuth of 12.8° and elevation angle resolution of 0.89°. For more details about the campaign and the measurements please contact P. Ortiz-Amezcua (portizamezcua@outlook.com)
description: Funding: Polish National Science Centre (NCN) under SONATINA 5 call, through project PURER-SENS (2021/40/C/ST10/00023) We acknowledge Instytut Podstawowych Problemów Techniki - Polskiej Akademii Nauk (IPPT PAN) for allowing the instrument installation and performance.
DOI: 10.6084/m9.figshare.22215760
title: Lenvatinib activates anti-tumor immunity by suppressing immunoinhibitory infiltrates in the tumor microenvironment of advanced hepatocellular carcinoma.zip

description: This file include datasets generated during analysis and R codes for graphical drawing. The main objective of submitted manuscript is as follows. The mechanism by which the tumor immune microenvironment is edited in human cancer tissues remains to be elucidated. Here, we analyzed the multi-omics of serial tumor and blood samples during lenvatinib monotherapy in 51 patients with advanced hepatocellular carcinoma.
DOI: 10.6084/m9.figshare.22215760.v2
title: Lenvatinib activates anti-tumor immunity by suppressing immunoinhibitory infiltrates in the tumor microenvironment of advanced hepatocellular carcinoma.zip

description: This file include datasets generated during analysis and R codes for graphical drawing. The main objective of submitted manuscript is as follows. The mechanism by which the tumor immune microenvironment is edited in human cancer tissues remains to be elucidated. Here, we analyzed the multi-omics of serial tumor and blood samples during lenvatinib monotherapy in 51 patients with advanced hepatocellular carcinoma.
DOI: 10.34740/kaggle/ds/3095815
title: Cotton Crop Disease & weeds
DOI: 10.5281/zenodo.8396332
title: Image for the dataset in "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique"

description: This is the original and hand-masked image for the dataset used in a research paper "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique". The content is Original images with hand-masked images (original_images_NOGUCHIandShoji.zip) training/* : original images used for the training dataset generation (60 files) training_masks/* : hand-masked images for the training dataset generation (60 files) validation/* : original images used for the training dataset generation (10 files) validation_masks/* : hand-masked images for the validation dataset generation (10 files) test/* : original images used as the test data (5 files) test_masks/* : hand-masked images used as the test data (5 files). Note that original images include images obtained using <em>google-image-download</em>, a Python script published on GitHub (https://github.com/Joeclinton1/google-images-download/tree/patch-1, Copyright © 2015-2019 Hardik Vasa). The whole images we obtained by <em>google-image-download</em> were labeled as noncommercial reuse with modification. For more details, please refer to a research paper "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique". Correspondence: Rina Noguchi (r-noguchi@env.sc.niigata-u.ac.jp)
DOI: 10.5281/zenodo.8396331
title: Image for the dataset in "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique"

description: This is the original and hand-masked image for the dataset used in a research paper "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique". The content is Original images with hand-masked images (original_images_NOGUCHIandShoji.zip) training/* : original images used for the training dataset generation (60 files) training_masks/* : hand-masked images for the training dataset generation (60 files) validation/* : original images used for the training dataset generation (10 files) validation_masks/* : hand-masked images for the validation dataset generation (10 files) test/* : original images used as the test data (5 files) test_masks/* : hand-masked images used as the test data (5 files). Note that original images include images obtained using <em>google-image-download</em>, a Python script published on GitHub (https://github.com/Joeclinton1/google-images-download/tree/patch-1, Copyright © 2015-2019 Hardik Vasa). The whole images we obtained by <em>google-image-download</em> were labeled as noncommercial reuse with modification. For more details, please refer to a research paper "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique". Correspondence: Rina Noguchi (r-noguchi@env.sc.niigata-u.ac.jp)
DOI: 10.5281/zenodo.7798341
title: Virtual benchmarking study training time series - binary set 1

description: A dataset with time series for training virtual sensor models for wind turbine aeroelastic loads. Data are in zipped format, each zip file contains 1000 individual time series. For the purpose of space preservation, each time series is stored in parquet binary format with "snappy" encoding. Reading a parquet file in Python can be done with the pandas library, with the following command sequence: import pandas as pd<br> Data = pd.read_parquet(filename)
DOI: 10.5281/zenodo.8396294
title: Virtual benchmarking study training time series - binary set 1

description: A dataset with time series for training virtual sensor models for wind turbine aeroelastic loads. Data are in zipped format, each zip file contains 1000 individual time series. For the purpose of space preservation, each time series is stored in parquet binary format with "snappy" encoding. Reading a parquet file in Python can be done with the pandas library, with the following command sequence: import pandas as pd<br> Data = pd.read_parquet(filename)
description: Version 0.2 updates: added rotor-equivalent wind direction as a data channel.
DOI: 10.5281/zenodo.7798340
title: Virtual benchmarking study training time series - binary set 1

description: A dataset with time series for training virtual sensor models for wind turbine aeroelastic loads. Data are in zipped format, each zip file contains 1000 individual time series. For the purpose of space preservation, each time series is stored in parquet binary format with "snappy" encoding. Reading a parquet file in Python can be done with the pandas library, with the following command sequence: import pandas as pd<br> Data = pd.read_parquet(filename)
description: Version 0.2 updates: added rotor-equivalent wind direction as a data channel.
DOI: 10.6084/m9.figshare.24225409
title: Proyectos JoPod Fest 2023

description: Lista de proyectos presentados al JoPod Fest 2023 en la asignatura Producción de Programas Informativos en Radio del Grado en Periodismo de la Universidad Rey Juan Carlos. Curso: 2022/23.
DOI: 10.6084/m9.figshare.24225409.v1
title: Proyectos JoPod Fest 2023

description: Lista de proyectos presentados al JoPod Fest 2023 en la asignatura Producción de Programas Informativos en Radio del Grado en Periodismo de la Universidad Rey Juan Carlos. Curso: 2022/23.
DOI: 10.5281/zenodo.8237522
title: GISD Facility-level CO2 emission data

description: The GISD facility-level CO<sub>2</sub> emissions along with the publication on Nature Climate Change.
DOI: 10.5281/zenodo.8334592
title: GISD Facility-level CO2 emission data

description: The GISD facility-level CO<sub>2</sub> emissions along with the publication on Nature Climate Change.
DOI: 10.6084/m9.figshare.22262788.v2
title: RawXCTdataOfRock

description: The raw XCT scanning rock data composing of cracks, coal, gangue and pyrite
DOI: 10.6084/m9.figshare.22273129.v1
title: 3DRepresentativeModel

description: The 3D reconstruction model of the rock XCT data
DOI: 10.34740/kaggle/dsv/6583695
title: Egypt Gold Prices | Daily Updated