cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/64ykjhczr6.1
title: Portable and Automated Microanalyzer for Colorimetric Measurements in Analytical Chemistry

description: The microanalyzer for colorimetric measurements in analytical chemistry, performs the automation of analytical micro-processes and integrates an opto-microfluidic structure manufactured in 3D printing. The proposed device was designed under restrictions of small size and low energy consumption, which allow their portability for in in-situ, on-line and real-time analysis. The autonomous process and auto-calibration consists of four functions: control and data acquisition; hydrodynamic: fluid pumping and flow injection; optical detection and wireless communication. For these, an electronics system with a virtual instrument interface was developed. In the experiments carried out to measure fluorides, the results obtained were very close to those obtained with laboratory equipment. The consumption of reagents was 50% less and waste was reduced by 80%. The cost of the portable and automated microanalyzer is 75% less than large and robust laboratory equipment.
2022 The Author(s). Published by Elsevier Ltd. R.M. Camarillo, et al. 3D printed opto-microfluics autonomous analyzer for absorption spectrophotometry applications, Sensor & Actuator: A: Physics, 337 (2022) 113425. https://doi.org/10.1016/j.sna.2022.113425
DOI: 10.17632/64ykjhczr6.2
title: 3D printed opto-microfluidic autonomous analyzer for photometric applications

description: 3D printed opto-microfluidic autonomous analyzer for photometric applications performs the automation of analytical micro-processes. The proposed device was designed under restrictions of small size and low energy consumption, which allow its portability for in-situ, on line and real time analysis. The autonomous process and auto-calibration consists of four functions: control and data acquisition; hydrodynamic: fluid pumping and flow injection; optical detection and wireless communication. All electronics systems where controlled with a virtual instrument interface. In the experiments carried out to measure fluorides, the results obtained were very close to those obtained with laboratory equipment. The consumption of reagents was 50% less and waste was reduced by 80%. The cost of the portable and autonomous microanalyzer is 75% less than large and robust laboratory equipment.
DOI: 10.21227/dpkp-kx84
title: Poultry farm Environmental sensor Dataset 

description: The demand for poultry products will keep rising as the world's population rises. One of the most significant and rapidly expanding economic sectors of India's agriculture sector is poultry. To meet this demand, increasing housing and managing more chicken birds is one potential technique to boost productivity. It will become more challenging for producers to keep track of the health, production, and welfare conditions of all of their birds as a result of this technique, labour shortages, and escalating biosecurity measures. To boost productivity while lowering expenses and resource utilization, it is essential to adopt intelligent poultry management systems. Additionally, Internet of Things (IoT), which is rapidly expanding and playing a significant role in the automation of today's environment, transforms conventional systems into automated systems. As technologies continue to advance, the poultry sector is getting ready to adapt new sensor technologies to boost productivity and animal welfare. Some researchers are collecting data personally based on the application and performed their research work. But they can’t compare their work due to lack of using standard datasets. By considering this thrust in experimenting and developing computational models for smart and intelligent poultry system this Dataset is prepared. Sensor Dataset of poultry farm consists of 336 reading collected in four months from August-2022 to November-2022 with per day three times reading from local poultry house by setting IoT based sensor network. These include environmental parameters such as temperature, humidity, Co2 gas concentration, NH3 gas concentration, and Light Intensity of a poultry house. It is prepared in Excel and CSV format which can be accessible by any supporting applications that researcher want. This dataset is suitable for those researchers who want to research on smart poultry systems that are based on the Internet of Things and Artificial Intelligence (AI) technologies to carry out a variety of intelligent management related tasks in poultry farms.
DOI: 10.6084/m9.figshare.23691417.v1
title: Data extration role of microalbuminuria and insulin resistance as predictive biomarkers.

description: Present data is extracted after studying the role of microalbuminuria and insulin resistance in obese individuals. The aim of the present study was to find out the protective biomarkers for obesity-related nephropathy.
DOI: 10.6084/m9.figshare.23691432
title: MDA-MB-231 EV and MCF-10A EV Expression_miRNA 1

description: Here, we report breast cancer cell-secreted exosomal miR-204-5p induces hypoxia-inducible factor 1A (HIF1A) in WAT by targeting von Hippel-Lindau (<em>VHL</em>) gene. Elevated HIF1A protein induces the leptin signaling pathway and thereby enhances lipolysis in WAT.
DOI: 10.6084/m9.figshare.23691432.v1
title: MDA-MB-231 EV and MCF-10A EV Expression_miRNA 1

description: Here, we report breast cancer cell-secreted exosomal miR-204-5p induces hypoxia-inducible factor 1A (HIF1A) in WAT by targeting von Hippel-Lindau (<em>VHL</em>) gene. Elevated HIF1A protein induces the leptin signaling pathway and thereby enhances lipolysis in WAT.
DOI: 10.5281/zenodo.8151781
title: Observed Rainfall And CMIP6 Data

description: The gridded rainfall datasets used in this analysis were sourced from the Indian Meteorological Department (IMD). These datasets were collected on a daily basis from 1951 to 2021 and were obtained from the National Climate Centre (NCC) of IMD from the following URL: https://www.imdpune.gov.in/lrfindex.php. The dataset covers the Indian River Basins (IRBs) and has been generated at high resolution by assimilating data from 6955 rain gauge stations spread across the IRBs. For the simulated daily precipitation spanning the years 2021 to 2100, four different Shared Socioeconomic Pathways (SSPs) were considered: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The simulated precipitation outputs were derived from the Coupled Model Intercomparison Project-6 (CMIP6) and were obtained from the following URL: https://esgf-node.llnl.gov/search/cmip6/. All 12 models of CMIP6 were downloaded, specifically using the variant label r1i1p1f1 as an initial condition.
DOI: 10.34740/kaggle/dsv/6142796
title: GenreClassification
DOI: 10.5517/ccdc.csd.cc2bfbpt
title: CCDC 2157776: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfbqv
title: CCDC 2157777: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfbrw
title: CCDC 2157778: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfbsx
title: CCDC 2157779: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfbty
title: CCDC 2157780: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfbvz
title: CCDC 2157781: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfbw0
title: CCDC 2157782: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfbx1
title: CCDC 2157783: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfby2
title: CCDC 2157784: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfbz3
title: CCDC 2157785: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfccj
title: CCDC 2157797: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfcdk
title: CCDC 2157798: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bfcfl
title: CCDC 2157799: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f2hxy
title: CCDC 2236740: Experimental Crystal Structure Determination

description: Related Article: Chenghua Deng, Bai-Qiao Song, Matteo Lusi, Andrey A. Bezrukov, Molly M. Haskins, Mei-Yan Gao, Yun-Lei Peng, Jian-Gong Ma, Peng Cheng, Soumya Mukherjee, Michael J. Zaworotko|2023|Cryst.Growth Des.|23|5211|doi:10.1021/acs.cgd.3c00446
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.23677266
title: Whole genome sequencing of human and porcine <em>Escherichia coli </em>isolates on a commercial pig farm in South Africa Untitled Item

description: Dataset (isolation, antibiotic susceptibility testing, antibiotic resistance genes, virulence factors and phylogeny) that accompanies the manuscript entitled " Whole genome sequencing of human and porcine <em>Escherichia coli </em>isolates on a commercial pig farm in South Africa"
DOI: 10.6084/m9.figshare.23677266.v1
title: Whole genome sequencing of human and porcine <em>Escherichia coli </em>isolates on a commercial pig farm in South Africa Untitled Item

description: Dataset (isolation, antibiotic susceptibility testing, antibiotic resistance genes, virulence factors and phylogeny) that accompanies the manuscript entitled " Whole genome sequencing of human and porcine <em>Escherichia coli </em>isolates on a commercial pig farm in South Africa"
DOI: 10.6084/m9.figshare.19641303
title: Antibiotic usage data of a commercial pig farm from 2016 to 2018 located in South Africa

description: The dataset was used for cost calculation for antibiotic usage and served as a numerator to quantify antibiotic usage according to the OIE in mg/kg. It is also used to quantify usage according to volume of use (kg).
DOI: 10.6084/m9.figshare.19641192
title: Vaccine usage in a commercial pig farm in South Africa: 2016-2018

description: The total number of vaccine dosages was calculated by multiplying the total dosages per vial as stated on the SPC with the total number of vials purchased and summed per vaccine according to disease targeted, per year.
DOI: 10.6084/m9.figshare.19641177
title: Livestock counts and slaughter statistics

description: Animal biomass as denominator was calculated according to OIE methodology with some modifications (1,2). Modifications included using a standard sow weight of 220 kg, instead of 192 kg for Africa, as South African sows are heavier (3). The OIE also includes a conversion factor of 0.09, as it is the anticipated proportion of sows present in the pig population, but this factor was omitted as the number of sows present on the farm was known. The final equation used to calculate the animal biomass per year is shown below: <br> Animal biomass (year) (kg) = Sum of live weight of all pigs slaughtered + (average sow population x 220 kg) <br> The total live weight of all pigs slaughtered per month was recorded by the farmer. These monthly values were summed to obtain the total live weight of all pigs slaughtered (kg) per year. The monthly livestock counts were used to obtain the yearly average number of sows present on the farm. <br> <strong>References: </strong> 1. OIE. <em>Annex to the guidance for completing the OIE template for the collection of data on antimicrobial agents for use in animals: Considerations on converting content of antimicrobial active ingredients in veterinary medicines into kilograms</em>. (2020). Available online at: https://www.oie.int/fileadmin/Home/eng/Our_scientific_expertise/docs/pdf/AMR/2020/ENG_AMUse_Annex_to_Guidance_Final_2020.pdf (accessed February 22, 2021) 2. Góchez D, Raicek M, Pinto Ferreira J, Jeannin M, Moulin G, Erlacher-Vindel E. OIE Annual report on antimicrobial agents intended for use in animals: Methods used. <em>Front Vet Sci</em>. (2019). 6:317. doi: 10.3389/fvets.2019.00317 3. BFAP. <em>Evaluating the South African pork value chain</em>. (2013). Available online at: http://www.bfap.co.za/wp-content/uploads/reports/BFAP Pork value chain 2013_Final.pdf (accessed July 20, 2021)
DOI: 10.6084/m9.figshare.19640964
title: Missing invoices

description: A manual cross-check between the monthly statement of account (i.e. a montly summary document that contains a list of all invoices issued to the farm from a particular supplier) and invoice numbers were done to determine if any invoices were missing. If an invoice were missing, data could not be captured to quantify antibiotic and vaccine usage.
DOI: 10.21227/z2yz-c641
title: Real-BlindSR Dataset

description: Realistic benchmark datasets are crucial for providing a consistent measurement baseline for comparing different BlindSR methods and testing their generalization ability in real-world scenarios. However, the evaluation of BlindSR methods is still limited by the lack of a common dataset that conforms to realistic degradation scenarios. We construct a benchmark dataset that follows real scenarios, which reflects the real-world BlindSR problem more accurately than existing synthetic datasets. The Real-BlindSR dataset includes diverse degradation types frequently observed in realistic situations, such as different downsampling scales. This dataset offers a comprehensive and realistic benchmark for assessing the performance of BlindSR methods.The Real-BlindSR Dataset we built is mainly used to evaluate the BlindSR task, which includes LR-HR paired images of three different scales of X2, X4, and X8, and includes compression from different Internet platforms and processing of real-world degradation three different tracks.
DOI: 10.34740/kaggle/dsv/6143174
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.8151930
title: Datasets for the Icarus paper "Evidence for trail forming ejecta boulder falls around fresh simple impact craters at the lunar Orientale multi-ring basin and implications for ballistic ejecta sedimentation"

description: This dataset has been used to prepare some figures in our Icarus paper.
DOI: 10.5281/zenodo.8151929
title: Datasets for the Icarus paper "Evidence for trail forming ejecta boulder falls around fresh simple impact craters at the lunar Orientale multi-ring basin and implications for ballistic ejecta sedimentation"

description: This dataset has been used to prepare some figures in our Icarus paper.
DOI: 10.34943/aba8b3b6-cb12-43ab-9b96-d06fc59035bd
title: Upper Slope South Acoustic Doppler Current Profiler 600 kHz Deployed 2023-07-15

description: The RDI Workhorse Monitor ADCP 600 kHz (SN 25472) was deployed on 2023-07-15 at Upper Slope South. Upper Slope South is a location within Barkley Canyon, which is located on the upper continental slope. This device is a Acoustic Doppler Current Profiler 600 kHz. Acoustic Doppler Current Profilers (ADCP) are hydroacoustic instruments, similar to sonars. ADCPs measure current speed and direction at multiple predetermined depths simultaneously. ADCPs use the Doppler effect of sound waves that are scattered by particles in seawater over a depth range. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34740/kaggle/dsv/6143384
title: Global Genomic Neurofibromatosis Neoplasia