cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23625374.v1
title: Additional file 2 of Evaluation of the performance of the IFN-γ release assay in bovine tuberculosis free herds from five European countries

description: Additional file 2: Evolution of the animal-level specificity of the Bovigam and IDvet kit depending on the cut-off point (OD or S/P ratio) used to define positivity, depending on different covariables.
DOI: 10.6084/m9.figshare.23625398
title: Additional file 2 of OsmiR159 Modulate BPH Resistance Through Regulating G-Protein γ Subunit GS3 Gene in Rice

description: Additional file 2. Table S1. Oligo names sequences.
DOI: 10.6084/m9.figshare.23625398.v1
title: Additional file 2 of OsmiR159 Modulate BPH Resistance Through Regulating G-Protein γ Subunit GS3 Gene in Rice

description: Additional file 2. Table S1. Oligo names sequences.
DOI: 10.6084/m9.figshare.23625437
title: Additional file 2 of Validation of a batch cultivation protocol for fecal microbiota of Kenyan infants

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.23625437.v1
title: Additional file 2 of Validation of a batch cultivation protocol for fecal microbiota of Kenyan infants

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.23625443
title: Additional file 4 of Validation of a batch cultivation protocol for fecal microbiota of Kenyan infants

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.23625443.v1
title: Additional file 4 of Validation of a batch cultivation protocol for fecal microbiota of Kenyan infants

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.23625452
title: Additional file 7 of Validation of a batch cultivation protocol for fecal microbiota of Kenyan infants

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.23625452.v1
title: Additional file 7 of Validation of a batch cultivation protocol for fecal microbiota of Kenyan infants

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.23625489
title: Additional file 5 of Vibrio-Sequins - dPCR-traceable DNA standards for quantitative genomics of Vibrio spp

description: Additional file 5. dMIQE2020
DOI: 10.6084/m9.figshare.23625489.v1
title: Additional file 5 of Vibrio-Sequins - dPCR-traceable DNA standards for quantitative genomics of Vibrio spp

description: Additional file 5. dMIQE2020
DOI: 10.6084/m9.figshare.23625492
title: Additional file 6 of Vibrio-Sequins - dPCR-traceable DNA standards for quantitative genomics of Vibrio spp

description: Additional file 6. Composition of Vibrio-Sequin mixes 1 and 2.
DOI: 10.6084/m9.figshare.23625492.v1
title: Additional file 6 of Vibrio-Sequins - dPCR-traceable DNA standards for quantitative genomics of Vibrio spp

description: Additional file 6. Composition of Vibrio-Sequin mixes 1 and 2.
DOI: 10.6084/m9.figshare.23625495
title: Additional file 7 of Vibrio-Sequins - dPCR-traceable DNA standards for quantitative genomics of Vibrio spp

description: Additional file 7. Composition of Vibrio mixtures A, B and C.
DOI: 10.6084/m9.figshare.23625495.v1
title: Additional file 7 of Vibrio-Sequins - dPCR-traceable DNA standards for quantitative genomics of Vibrio spp

description: Additional file 7. Composition of Vibrio mixtures A, B and C.
DOI: 10.18112/openneuro.ds003745.v2.0.0
title: Social Reward Processing and Decision Making in Younger and Older Adults
DOI: 10.25919/fan2-2j87
title: Parkes observations for project P960 semester 2023APRS_03

description: We aim to carry out receiver pointing and characterisation tests of Parkes receivers. Typically, these tests are carried out after the receiver package is installed, but time does not always allow for proper characterisation. Receivers for consideration include UWL, MARS and 13MM packages. In addition to cross-referencing C007 for flux calibration via pointing, we aim to conduct gain-elevation and system temperature experiments using the Moon, to ensure users of the Parkes Observatory have the most accurate information available for calibration purposes.
DOI: 10.25919/854p-8402
title: Parkes observations for project PX500 semester 2023APRS_14

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.8112442
title: Microstructure dataset CCC-D-23-00329

description: Microstructure dataset supporting the readers of the journal article [CCC-D-23-00329]: Effective diffusivity of hardened cement paste from 3D microstructures: a critical comparison of real and virtual microstructures by Pakpoom Limtong, Ravi A. Patel, Yuya Takahashi, Tetsuya Ishida<br> <br> This data set contains 3D hardened cement paste microstructures with the water-to-cement mass ratio (w/c) of 0.30, 0.40, and 0.45. Three microstructure entities (µCT, HYMOSTRUC, and CEMHYD3D) are provided with the same voxel resolution of 1 µm/voxel and the same degree of hydration. 1.) µCT from The NIST Visible Cement Data Set (https://visiblecement.nist.gov/cement.html)<br> 2.) HYMOSTRUC model, a vector-based hydration model developed by TU Delft, The Netherlands.<br> 3.) CEMHYD3D model, a voxel-based hydration model developed by NIST, USA. The data set is given in an 8-bit numpy file format. For more details, please refer to the description of each sample. Nomenclature: image_w/c_size.npy<br> 1.) "original" denoted the unprocessed extracted from the whole CT image originally provided by NIST.<br> 2.) "denoised" denoted the denoised image of the "original"<br> 3.) "segmented" denoted the segmented image of the denoised image. It contains 4 - 5 phases as described below,<br> -----notation of segmented image-------- 0 = pore 1 = hydrates 2 = portlandite 3 = clinker 4 = large isolated air void ---------<br> <br> Example: reading a microstructure on Python IDE<br> import numpy as np<br> import matplotlib.pylab as plt<br> file = input("Please input the file you want to analyze:")<br> #load an image<br> image = np.load(file + ".npy")<br> #obtain the volume fraction by np.mean<br> print("Segmented porosity =", np.mean(image == 0))<br> #visualize a slice of the 3D image<br> plt.imshow(image[0], cmap = 'gray')
DOI: 10.5281/zenodo.8112441
title: Microstructure dataset CCC-D-23-00329

description: Microstructure dataset supporting the readers of the journal article [CCC-D-23-00329]: Effective diffusivity of hardened cement paste from 3D microstructures: a critical comparison of real and virtual microstructures by Pakpoom Limtong, Ravi A. Patel, Yuya Takahashi, Tetsuya Ishida<br> <br> This data set contains 3D hardened cement paste microstructures with the water-to-cement mass ratio (w/c) of 0.30, 0.40, and 0.45. Three microstructure entities (µCT, HYMOSTRUC, and CEMHYD3D) are provided with the same voxel resolution of 1 µm/voxel and the same degree of hydration. 1.) µCT from The NIST Visible Cement Data Set (https://visiblecement.nist.gov/cement.html)<br> 2.) HYMOSTRUC model, a vector-based hydration model developed by TU Delft, The Netherlands.<br> 3.) CEMHYD3D model, a voxel-based hydration model developed by NIST, USA. The data set is given in an 8-bit numpy file format. For more details, please refer to the description of each sample. Nomenclature: image_w/c_size.npy<br> 1.) "original" denoted the unprocessed extracted from the whole CT image originally provided by NIST.<br> 2.) "denoised" denoted the denoised image of the "original"<br> 3.) "segmented" denoted the segmented image of the denoised image. It contains 4 - 5 phases as described below,<br> -----notation of segmented image-------- 0 = pore 1 = hydrates 2 = portlandite 3 = clinker 4 = large isolated air void ---------<br> <br> Example: reading a microstructure on Python IDE<br> import numpy as np<br> import matplotlib.pylab as plt<br> file = input("Please input the file you want to analyze:")<br> #load an image<br> image = np.load(file + ".npy")<br> #obtain the volume fraction by np.mean<br> print("Segmented porosity =", np.mean(image == 0))<br> #visualize a slice of the 3D image<br> plt.imshow(image[0], cmap = 'gray')
DOI: 10.21227/1n42-jp55
title: NAS Dataset

description: Neighbourhood area networks (NANs) lay the foundation for robust communication in smart grids to support stable and secure end-user connectivity with substations. Firstly, the current solutions are unrealistic to meet the time-bound requirements for smart grid applications with large number of intermediate node connectivity in NANs. Secondly, the existing Low-power Wireless Personal Area Network (LoWPAN) do not scale up to thousand nodes while meeting the latency requirement of delay-critical smart grid applications. To address both the scaling and latency issues, this paper proposes the use of long-range communication such as 5G to complement short-range communication in NANs that effectively creating a two-layer, primary and secondary networks. We identified the need for a Node Allocation Strategy (NAS) to reduce the latency for scaling NANs. NAS, particularly is designed for NANs with thousands of smart meter nodes located at secondary networks. We model the NAS to reduce the hop-count between smart meters and the utility centre, through an algorithm designed and proposed in this paper. The proposed NAS communication strategy for NANs applied to various dense and sparsely populated real smart grid scenarios to examine the efficacy of this approach.
DOI: 10.5281/zenodo.7934174
title: Waveform data for 'Seismic Footprints Monitoring and Trajectory Tracking of Moving Aircrafts'

description: Data of waveform and flights for 'Seismic Footprints Monitoring and Trajectory Tracking of Moving Aircrafts'
DOI: 10.5281/zenodo.7934173
title: Waveform data for 'Seismic Footprints Monitoring and Trajectory Tracking of Moving Aircrafts'

description: Data of waveform and flights for 'Seismic Footprints Monitoring and Trajectory Tracking of Moving Aircrafts'
DOI: 10.18112/openneuro.ds003745.v2.0.1
title: Social Reward Processing and Decision Making in Younger and Older Adults
DOI: 10.5281/zenodo.7595761
title: What Is Polluting Delhi's Air? A Review from 1990 to 2022

description: This supplementary information for open use is part of the publication, "What is Polluting Delhi's Air? A Review from 1990 to 2022" This paper offers insight by reviewing the influence of Delhi’s urban growth since 1990 on pollution levels and sources and the evolution of technical, institutional, and legal measures to control emissions in the National Capital Region of Delhi.. <strong>The databases and the documents uploaded here are the following</strong> Available ambient air quality monitoring data for Delhi cpcb_delhi_data_2006-2018-raw-cleaned.rar - This is CPCB data from 2006 to 2018 as raw and cleaned files. Raw data is at 15 min internals, which needs some qa/qc checks before use. The cleaned data is hourly. For data cleaning, all null points, all negative points, integer values equal to 9999, 999, 1985, 985, 915, 515, 1200, 1000, 2000, 380, 3800, 675, and 718 were excluded. These values were recognized after searching the raw data for patterns. Instances of sudden jumps, which occur due to malfunctioning of instruments were recognized using running means. 1999-2006-CPCB ITO-Hourly.xlsx - This is hourly data from the ITO station only NAMP data for 2011 to 2015 is hosted here - https://doi.org/10.5281/zenodo.6925200 Graph-Composite-1989-2022.xlsx -- This is a composite of all the annual average data along with the worksheet to make the image in the preview. Support documents 1997-CPCB-White-Paper-on-Delhi-Air-Pollution.pdf 2011-CPCB-Source-Apportionment-Report-Extracts.pdf 2015-04 Infograph Delhi Banning Vehicles to Control AP.jpg 2016-03 Inforgraph Delhi Odd Even Emissions.jpg 2019-09-Infograph-Delhi-Odd-Even-Buses.jpg NCAP-Planned-Source-Apportionment-studies.pdf SIM-41-2021-Data-Resources-for-Energy-Emissions-Analysis.pdf Reanalysis fields from WUSTL wustl_delhi_1998-2021.csv - This data is at 0.01 degree resolution for the city airshed. The long-lat represent the grid mid-point. wustl_delhi_1998-2021.png - This is a composite image of data extracted for all the years Satellite data extracts satellite-modis_terra_aod_delhi-covidperiod.xlsx satellite-modis_terra_aod_delhi-longerperiod.xlsx satellite-omi_no2_delhi-covidperiod.xlsx satellite-tropomi_o3_delhi.xlsx satellite-tropomi_so2_delhi.xlsx
DOI: 10.5281/zenodo.7595760
title: What Is Polluting Delhi's Air? A Review from 1990 to 2022

description: This supplementary information for open use is part of the publication, "What is Polluting Delhi's Air? A Review from 1990 to 2022" This paper offers insight by reviewing the influence of Delhi’s urban growth since 1990 on pollution levels and sources and the evolution of technical, institutional, and legal measures to control emissions in the National Capital Region of Delhi.. <strong>The databases and the documents uploaded here are the following</strong> Available ambient air quality monitoring data for Delhi cpcb_delhi_data_2006-2018-raw-cleaned.rar - This is CPCB data from 2006 to 2018 as raw and cleaned files. Raw data is at 15 min internals, which needs some qa/qc checks before use. The cleaned data is hourly. For data cleaning, all null points, all negative points, integer values equal to 9999, 999, 1985, 985, 915, 515, 1200, 1000, 2000, 380, 3800, 675, and 718 were excluded. These values were recognized after searching the raw data for patterns. Instances of sudden jumps, which occur due to malfunctioning of instruments were recognized using running means. 1999-2006-CPCB ITO-Hourly.xlsx - This is hourly data from the ITO station only NAMP data for 2011 to 2015 is hosted here - https://doi.org/10.5281/zenodo.6925200 Graph-Composite-1989-2022.xlsx -- This is a composite of all the annual average data along with the worksheet to make the image in the preview. Support documents 1997-CPCB-White-Paper-on-Delhi-Air-Pollution.pdf 2011-CPCB-Source-Apportionment-Report-Extracts.pdf 2015-04 Infograph Delhi Banning Vehicles to Control AP.jpg 2016-03 Inforgraph Delhi Odd Even Emissions.jpg 2019-09-Infograph-Delhi-Odd-Even-Buses.jpg NCAP-Planned-Source-Apportionment-studies.pdf SIM-41-2021-Data-Resources-for-Energy-Emissions-Analysis.pdf Reanalysis fields from WUSTL wustl_delhi_1998-2021.csv - This data is at 0.01 degree resolution for the city airshed. The long-lat represent the grid mid-point. wustl_delhi_1998-2021.png - This is a composite image of data extracted for all the years Satellite data extracts satellite-modis_terra_aod_delhi-covidperiod.xlsx satellite-modis_terra_aod_delhi-longerperiod.xlsx satellite-omi_no2_delhi-covidperiod.xlsx satellite-tropomi_o3_delhi.xlsx satellite-tropomi_so2_delhi.xlsx
DOI: 10.6084/m9.figshare.23617539
title: Source data for supplementary information

description: The therapeutic efficacy of whole tumor cell vaccines (TCV) is modest, which has delayed their translation into personalized immunotherapies in the clinic. Here, we developed an innovative and highly potent TCV platform based on photothermal nanoparticle-loaded tumor cell, which could be rationally applied to diverse tumor types to achieve on-demand boost of anti-tumor immune responses for effectively suppressing tumor growth. During the fabrication process, mild photothermal heating by near-infrared (NIR) laser irradiation induced the nanoparticle-bearing tumor cells to express heat shock proteins as endogenous adjuvants. After a single vaccination, non-invasive NIR laser irradiation further induced mild hyperthermia at vaccination site, which promoted the recruitment, activation, and presentation of dendritic cells. Notably, using a new indicator we termed fluctuation of tumor growth rate (FTGR), we rationally determined appropriate irradiation regimens (including optimized irradiation intervals and times). This innovative TCV platform enables on-demand NIR manipulation of immune responses, and we systematically demonstrated potent therapeutic efficacy against six murine models that mimicked a range of clinical requirements, notably including a sophisticated model based on humanized mice and patient-derived tumor xenografts.
DOI: 10.5281/zenodo.8115486
title: The relocation results of the 2022 Menyuan Ms 6.9 and 2016 Menyuan Ms 6.4 earthquake

description: This file is the relocated data of the 2022 Menyuan Ms 6.9 and 2016 Menyuan Ms 6.4 earthquake using Double-difference algorithm. It is only used for scientific research.
DOI: 10.5281/zenodo.8115559
title: Log-based anomaly detection datasets

description: Dataset for the ICSE'22 paper: Log-based Anomaly Detection with Deep Learning: How Far Are We? If you find the data useful for your research, please cite the following paper: <pre>@inproceedings{le2022log, title={Log-based anomaly detection with deep learning: How far are we?}, author={Le, Van-Hoang and Zhang, Hongyu}, booktitle={Proceedings of the 44th international conference on software engineering}, pages={1356--1367}, year={2022} }</pre>
DOI: 10.5281/zenodo.8115558
title: Log-based anomaly detection datasets

description: Dataset for the ICSE'22 paper: Log-based Anomaly Detection with Deep Learning: How Far Are We? If you find the data useful for your research, please cite the following paper: <pre>@inproceedings{le2022log, title={Log-based anomaly detection with deep learning: How far are we?}, author={Le, Van-Hoang and Zhang, Hongyu}, booktitle={Proceedings of the 44th international conference on software engineering}, pages={1356--1367}, year={2022} }</pre>
DOI: 10.26179/zp6e-f675
title: Ducks and Mallards of Macquarie Island
DOI: 10.26180/23626311
title: Raw data_Portable thermal scanners to detect and monitor small endotherms_BRIDGES_FDawlings

description: Raw data for the manuscript 'Portable thermal scanners to detect and monitor small endotherms: A comparative assessment of available equipment to guide practitioners'. There are two sheets in the excel document: 'SIGHTINGS' - each row details one sighting of a Plains-wanderer model in the surveys. 'SURVEYS' - each row details one survey of one transect.
DOI: 10.26180/23626311.v1
title: Raw data_Portable thermal scanners to detect and monitor small endotherms_BRIDGES_FDawlings

description: Raw data for the manuscript 'Portable thermal scanners to detect and monitor small endotherms: A comparative assessment of available equipment to guide practitioners'. There are two sheets in the excel document: 'SIGHTINGS' - each row details one sighting of a Plains-wanderer model in the surveys. 'SURVEYS' - each row details one survey of one transect.
DOI: 10.20372/eiar-rdm/beny4j/xy8ugm
title: Blended Fertilizer Required data wheat (Pawe).tab

description: :unav
DOI: 10.20372/eiar-rdm/beny4j
title: Blended fertilizer rate on wheat crop

description: Blended fertilizer rate for wheat crop
DOI: 10.20372/eiar-rdm/nt2j8v/y9rlu4
title: ISFM_Tithonia_P.xlsx

description: Tithonia biomass as a source of phosphorus
DOI: 10.20372/eiar-rdm/nt2j8v
title: ISFM using P fertilizer and Tithonia biomass

description: The effect of applying Tithonia biomass and phosphorus fertilizer on the agronomic efficiency of phosphorus and yield of maize was investigated in a randomized complete block design with three replications. Tithonia (Tithonia diversifolia) biomass and Triple Superphosphate (TSP) were used as organic and inorganic sources of phosphorus, respectively. Significant treatment differences (P &lt; 0.01) were observed for most of the parameters studied including agronomic efficiency, partial factor productivity (PFP), and grain yield. Although applying the highest Tithonia biomass alone gave the highest grain yield, application of just 50% of the highest rate of Tithonia biomass and TSP looks more appealing to smallholder maize producers in the region. The result therefore indicated that Tithonia biomass could be utilized in smallholder maize production system as a source of plant nutrients such as phosphorus; it also emphasized the need to allot more resources and attention in exploring locally available and cheap sources of plant nutrients which could augment crop productivity amid the mounting financial challenges faced by farmers in the region.
DOI: 10.20372/eiar-rdm/a0qhgq/neuoov
title: Blended fertilizer Rate on Barley Crop.tab

description: :unav
DOI: 10.20372/eiar-rdm/a0qhgq
title: Blended fertilizer rate

description: blended fertilizer rate
DOI: 10.20372/eiar-rdm/ujwvlr/7s1j0c
title: Yield Response and Nutrient use Efficiencies of Maize 2023.tab

description: :unav
DOI: 10.20372/eiar-rdm/ujwvlr
title: Yield Response and Nutrient use Efficiencies of Maize (Zea mays L.) As Determined through Nutrient Omission trial in Jimma Zone, Southwestern Ethiopia

description: This activity was implemented to identify the most important plant nutrients in 2020 cropping season
DOI: 10.20372/eiar-rdm/bbhhq5/4usaue
title: Omissio_Data of Maize_Teppi@2014.tab

description: it a row data of nutrient omission trial
DOI: 10.20372/eiar-rdm/bbhhq5
title: Determination of Nutrient Requirement for Maize (Zea mays L.) on Nitisol of Yeki District, Southwest Ethiopia

description: A wide range of agroecology of Ethiopian soil is deficient in both major and micronutrients. The new fertilizer type for crop production is formulated based on the nutrient deficiency. This site-specific fertilizer does not show crop yield variability when compared with the previously recommended NP fertilizer. Understanding the most yield-limiting nutrient in crop production under different agroecology is very important. Hence, the objective of this study was to identify the most yield-limiting nutrient and quantify the level of yield penalty in maize crops under three locations in the Yeki district during the 2022 cropping season. Ten treatments constitute of control, RNP, RNP +S2, NPKSBZn, PKSBZn (-N), NKSBZn (-P), NPSBZn (-K), NPKBZn (-S), NPKSZn (-B) and NPKSB (-Zn) were arranged by randomized complete block design under three replication. Maize agronomic data were taken and analyzed by using R software 4.2.2. The mean difference of treatments was compared by LSD at a probability level of 5%. The pool means analysis of variance indicated that maize grain yield and yield components were significantly (p&lt;0.05) influenced by different nutrient omissions. The highest maize grain yield penalty (41.34%) was recorded under the nitrogen omitted plot and the lowest (0.65%) from the previously recommended NP fertilizer applied plots. In the study area the most yield reduction that showed more than 10% yield penalty of maize 26.25%, 22.13% and 11.26% due to S, P and K omitted respectively were observed next to N. Since the study was conducted for one season further validation and demonstration for specific nutrient across multi-location and soil test based will be better to see more variability.
DOI: 10.20372/eiar-rdm/xmjwkb/6vy5it
title: Lime and OM raw data, 2023.tab

description: :unav
DOI: 10.5281/zenodo.7412469
title: Dataset for "Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme"

description: Datasets for "Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme". The global simulation outputs (climatologies and daily anomalies), calculated RMM indexes, and the results of the budget analysis are included.
DOI: 10.20372/eiar-rdm/xmjwkb
title: Effect of integrated use of lime and organic materials on Wheat yield and selected soil properties under acid soils of Aneded District, Northwest Ethiopia.

description: To evaluate the integrated use of lime and organic nutrient sources on the selected soil properties and yield of wheat
DOI: 10.20372/eiar-rdm/7ssjzu/zh3efl
title: 5.pdf

description: :unav