cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22298701.v1
title: female.sav

description: 女性 CA PDT CA
DOI: 10.18112/openneuro.ds003659.v2.0.2
title: ScanTrain
DOI: 10.5517/ccdc.csd.cc28swlk
title: CCDC 2109289: Experimental Crystal Structure Determination

description: Related Article: Yizheng Bao, Xiaohang Wu, Bing Yin, Xi Kang, Zidong Lin, Huijuan Deng, Haizhu Yu, Shan Jin, Shuang Chen, Manzhou Zhu|2022|Chemical Science|13|14357|doi:10.1039/D2SC03239B
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: 10.25505/fiz.icsd.cc2fhzlj
title: CSD 2249688: Experimental Crystal Structure Determination

description: Related Article: Yao Tian|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7323542
title: Lithium-Ion Batteries in Automated Guided Vehicles (AGVs) dataset for article "Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations"

description: Dataset of aggregated information related to charge and discharge operations of lithium-ion batteries employed in Automated Guided Vehicle systems. The dataset supports the study in conference article "Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations"
description: Work funded under the Important Project of Common European Interest (IPCEI) on Batteries, decision C(2019) 8823 IPCEI Batterie 1, CUP: B52C22000060008, COR: 8355979. The authors thank Flash Battery for the dataset.
DOI: 10.5281/zenodo.7748871
title: Lithium-Ion Batteries in Automated Guided Vehicles (AGVs) dataset for article "Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations"

description: Dataset of aggregated information related to charge and discharge operations of lithium-ion batteries employed in Automated Guided Vehicle systems. The dataset supports the study in conference article "Automated Battery Power Fade Estimation for Fast Charge and Discharge Operations"
description: Work funded under the Important Project of Common European Interest (IPCEI) on Batteries, decision C(2019) 8823 IPCEI Batterie 1, CUP: B52C22000060008, COR: 8355979. The authors thank Flash Battery for the dataset.
DOI: 10.6084/m9.figshare.22298806
title: Flamingo flight restraint data set

description: Data set uploaded for corresponding paper under review in Zoo Biology.
DOI: 10.6084/m9.figshare.22298806.v1
title: Flamingo flight restraint data set

description: Data set uploaded for corresponding paper under review in Zoo Biology.
DOI: 10.25345/c5tb0z526
title: MassIVE MSV000091507 - N-glycoproteomics of brain synapses and synaptic vesicles
title: At mammalian neuronal synapses, synaptic vesicle (SV) glycoproteins are essential for robust neurotransmission. Asparagine (N)-linked glycosylation is required for delivery of the major SV glycoproteins synaptophysin and SV2A to SVs. Despite this key role for N-glycosylation, the molecular compositions of SV N-glycans are largely unknown. In this study, we combined organelle isolation techniques and high-resolution mass spectrometry to characterize N-glycosylation at synapses and SVs from mouse brain. Detecting over 2,500 unique glycopeptides, we found that SVs harbor a distinct population of oligomannose and highly fucosylated N-glycans. Using complementary fluorescence methods, we identify at least one highly fucosylated N-glycan enriched in SVs as compared to synaptosomes. High fucosylation was characteristic of SV proteins, plasma membrane proteins, and cell adhesion molecules with key roles in synaptic function and development. Our results resolve the N-glycoproteome of a neuronal organelle and inform timely questions in the glycobiology of synaptic pruning and neuroinflammation.
DOI: 10.5281/zenodo.7681437
title: SMFS of the heterodimeric 4-heptad coiled coil A4B4 (shear geometry with Cys-A4 and B4-Cys)

description: This library contains the atomic force microscope (AFM)-based single-molecule force spectroscopy (SMFS) data for the <strong>coiled coil A4B4</strong>, measured in shear loading geometry. The dataset includes all measured force-extension curves without preselection for single rupture events (three independent measurements). The measured heterodimeric coiled coil has the following sequence: <strong>A4</strong>: CGG EIAALEQ EIAALEK ENAALEW EIAALEQ GG / <strong>B4</strong>: GG KIAALKQ KIAALKY KNAALKK KIAALKQ GGC See readme file for details.
DOI: 10.6084/m9.figshare.22298005.v2
title: Efficacy and safety of Weifuchun tablet for chronic atrophic gastritis: A systematic review and meta-analysis.xlsx

description: The data was related to the research" Efficacy and safety of Weifuchun tablet for chronic atrophic gastritis: A systematic review and meta-analysis". Fifteen RCTs were enrolled in this meta-analysis. <br> <br>
DOI: 10.6084/m9.figshare.22298005
title: Efficacy and safety of Weifuchun tablet for chronic atrophic gastritis: A systematic review and meta-analysis.xlsx

description: The data was related to the research" Efficacy and safety of Weifuchun tablet for chronic atrophic gastritis: A systematic review and meta-analysis". Fifteen RCTs were enrolled in this meta-analysis. <br> <br>
DOI: 10.57967/hf/0454
title: sadQuotes
DOI: 10.6084/m9.figshare.21900341
title: Potassium applications reduced cesium uptake and altered strontium translocation in soybean plants

description: After the Tokyo Electric Power Company’s Fukushima Dai-ichi Nuclear Power Plant accident in 2011, radioactive cesium (RCs) was released in greater concentrations than radioactive strontium (RSr) in the surrounding environment. Most of the countermeasures were developed to mitigate the RCs transfer from the soil to plants. However, to avoid what has happened after the Chernobyl and Mayak accidents, preventing the transfer of RSr from soil to plants should be a priority. Although the application of potassium (K) fertilizers is the most effective method for preventing agricultural crops from absorbing RCs in contaminated fields, this implementation increases the cost and labor requirements. Considering the preparedness for nuclear accidents, it remains unclear how this countermeasure will be affected if RCs and RSr are released simultaneously. We aimed to explore the effect of K applications on cesium (Cs) and strontium (Sr) uptake and their interaction with and correlation to other elements in the soybean plants and soil. The field experiments were conducted in Fukushima Prefecture, Japan, using different K applications (i.e., no, normal, and high K applications). The dry weight and mineral concentrations of K, Cs, Sr, calcium (Ca), magnesium (Mg), and nitrogen (N) concentration in plants and exchangeable K (ExK), exchangeable Cs (ExCs), exchangeable Sr (ExSr), exchangeable Ca (ExCa), exchangeable Mg (ExMg), NH<sub>4</sub>+ (ammonium), and NO<sub>3</sub>- (nitrate) concentrations in the soils were evaluated. This study revealed that K application reduced Cs, Ca, and Mg uptake but did not affect the ExSr, ExCa, and ExMg concentrations in the soil and did not change the uptake of Sr. On the other hand, K concentration of the plant especially at later growth stage, which indicates re-translocation of Sr was negatively regulated by K concentration.
DOI: 10.6084/m9.figshare.21900341.v1
title: Potassium applications reduced cesium uptake and altered strontium translocation in soybean plants M

description: After the Tokyo Electric Power Company’s Fukushima Dai-ichi Nuclear Power Plant accident in 2011, radioactive cesium (RCs) was released in greater concentrations than radioactive strontium (RSr) in the surrounding environment. Most of the countermeasures were developed to mitigate the RCs transfer from the soil to plants. However, to avoid what has happened after the Chernobyl and Mayak accidents, preventing the transfer of RSr from soil to plants should be a priority. Although the application of potassium (K) fertilizers is the most effective method for preventing agricultural crops from absorbing RCs in contaminated fields, this implementation increases the cost and labor requirements. Considering the preparedness for nuclear accidents, it remains unclear how this countermeasure will be affected if RCs and RSr are released simultaneously. We aimed to explore the effect of K applications on cesium (Cs) and strontium (Sr) uptake and their interaction with and correlation to other elements in the soybean plants and soil. The field experiments were conducted in Fukushima Prefecture, Japan, using different K applications (i.e., no, normal, and high K applications). The dry weight and mineral concentrations of K, Cs, Sr, calcium (Ca), magnesium (Mg), and nitrogen (N) concentration in plants and exchangeable K (ExK), exchangeable Cs (ExCs), exchangeable Sr (ExSr), exchangeable Ca (ExCa), exchangeable Mg (ExMg), NH<sub>4</sub>+ (ammonium), and NO<sub>3</sub>- (nitrate) concentrations in the soils were evaluated. This study revealed that K application reduced Cs, Ca, and Mg uptake but did not affect the ExSr, ExCa, and ExMg concentrations in the soil and did not change the uptake of Sr. On the other hand, K concentration of the plant especially at later growth stage, which indicates re-translocation of Sr was negatively regulated by K concentration.
DOI: 10.6084/m9.figshare.21929854
title: Detection of metabolites in rhizosphere of soybean under different status of soil potassium

description: Nutrient status of plant affects root exudates of plant. Little is known about effect of potassium status on root exudation. Objective of this study was to identify metabolites in rhizosphere soil of soybean under different potassium conditions. Two soybean cultivars (Satonohohoemi (SAT) and Tachinagaha (TAC)) were grown in soil culture under low (K0, without potassium fertilizer) and normal (K2, 0.42 g K kg<sup>−1</sup>) soil potassium status. Soil solutions were collected at 15 and 25 DAS. Metabolites in soil solution were detected by CE-TOF MS. Low potassium tolerance was higher in SAT than TAC. Shoot and root K concentration in SAT was lower in K0 than that in K2. Forty-seven metabolites were detected in rhizosphere soil solution of SAT, TAC and without plant. Low K condition increased 6 and 3 metabolites concentration in soil solution without plant and 2 and 4 metabolites concentration with SAT and 2 and 1 metabolites concentration with TAC, at 15 and 25 DAS, respectively. Low K condition decreased 1 and 1 metabolites concentration in soil solution without plant and 6 and 6 metabolites concentration with SAT and 0 and 2 metabolites concentration with TAC, at 15 and 25 DAS, respectively. Increased and decreased metabolites were different between SAT and TAC. These results suggest that K status affect metabolites in root exudate and rhizosphere microbes of soybean and there is cultivar difference in these metabolites.
DOI: 10.6084/m9.figshare.21929854.v1
title: Detection of metabolites in rhizosphere of soybean under different status of soil potassium

description: Nutrient status of plant affects root exudates of plant. Little is known about effect of potassium status on root exudation. Objective of this study was to identify metabolites in rhizosphere soil of soybean under different potassium conditions. Two soybean cultivars (Satonohohoemi (SAT) and Tachinagaha (TAC)) were grown in soil culture under low (K0, without potassium fertilizer) and normal (K2, 0.42 g K kg<sup>−1</sup>) soil potassium status. Soil solutions were collected at 15 and 25 DAS. Metabolites in soil solution were detected by CE-TOF MS. Low potassium tolerance was higher in SAT than TAC. Shoot and root K concentration in SAT was lower in K0 than that in K2. Forty-seven metabolites were detected in rhizosphere soil solution of SAT, TAC and without plant. Low K condition increased 6 and 3 metabolites concentration in soil solution without plant and 2 and 4 metabolites concentration with SAT and 2 and 1 metabolites concentration with TAC, at 15 and 25 DAS, respectively. Low K condition decreased 1 and 1 metabolites concentration in soil solution without plant and 6 and 6 metabolites concentration with SAT and 0 and 2 metabolites concentration with TAC, at 15 and 25 DAS, respectively. Increased and decreased metabolites were different between SAT and TAC. These results suggest that K status affect metabolites in root exudate and rhizosphere microbes of soybean and there is cultivar difference in these metabolites.
DOI: 10.21227/m6rs-wv19
title: Statistical Analysis of Silicon PV Module Solution Parameters

description: A statistical subset of 385 PV modules was extracted from 10,413 silicon single-sided PV Modules from the California Solar Equipment database.

From the PV characteristic of the number of series PC cells Ns, open circuit voltage Voc, maximum power voltage Vmp, maximum power current Imp, and short circuit current Is, the solutions from the 5 Parameter Model were found for each.

5 parameter values: diode ideality factor η, series resistance Rs, parallel resistance Rp, photon light current IL, and diode reverse saturation current Io.

The data was analyzed to support the simplification of PV equations at short circuit, open circuit, and maximum power.

The analysis showed that at short circuit conditions the diode current term can be removed.
At maximum power and open circuit conditions to "-1" term in the diode equation can be removed.
DOI: 10.6084/m9.figshare.22298860
title: Advancing Posaconazole Quantification Analysis with a New Reverse-Phase HPLC Method in its bulk and marketed dosage form (Background data on selection of stationary phase, mobile phase, Preparation of buffer and Linearity Results)

description: For an HPLC method, how to select a statioanry phase, how to select a buffer as a aqueous phase, how to prepare buffer and linearity data results
DOI: 10.6084/m9.figshare.22298860.v1
title: Advancing Posaconazole Quantification Analysis with a New Reverse-Phase HPLC Method in its bulk and marketed dosage form (Background data on selection of stationary phase, mobile phase, Preparation of buffer and Linearity Results)

description: For an HPLC method, how to select a statioanry phase, how to select a buffer as a aqueous phase, how to prepare buffer and linearity data results
DOI: 10.57967/hf/0452
title: GuanacoDataset
DOI: 10.5281/zenodo.7741749
title: IPAAST East Heslerton FDEM

description: FDEM Dualem21Hs dataset constituting a case study in interoperable archaeological prospection and precision agricultural data at the Landscape Research Centre's site 070 and site 120 at Manor Farm in East Heslerton in context of the IPAAST-CZO project (British Academy - Knowledge Frontiers Programme: kf5210407) by UGlasgow. Contains:<br> -Unprocessed point data: all_orig.csv<br> -Processed point data: all.csv<br> -Interpolated data data of elevation, horizontal coplanar (HCP) coil pair at 0.5 (HCPH), 1 (HCP1) and 2 m (HCP2) transmitter-receiver separation and perpendicular (PRP) coil pair at 0.6 (PRPH), 1.1 (PRP1) and 2.1 m (PRP2) separation in respective (geo)tif files<br> -Scope notes regarding applications of EMI data in precision agricultural management decisions & data in precision agriculture potentially relevant to the interpretation of EMI datasets in archaeology
DOI: 10.5281/zenodo.7741748
title: IPAAST East Heslerton FDEM

description: FDEM Dualem21Hs dataset constituting a case study in interoperable archaeological prospection and precision agricultural data at the Landscape Research Centre's site 070 and site 120 at Manor Farm in East Heslerton in context of the IPAAST-CZO project (British Academy - Knowledge Frontiers Programme: kf5210407) by UGlasgow. Contains:<br> -Unprocessed point data: all_orig.csv<br> -Processed point data: all.csv<br> -Interpolated data data of elevation, horizontal coplanar (HCP) coil pair at 0.5 (HCPH), 1 (HCP1) and 2 m (HCP2) transmitter-receiver separation and perpendicular (PRP) coil pair at 0.6 (PRPH), 1.1 (PRP1) and 2.1 m (PRP2) separation in respective (geo)tif files<br> -Scope notes regarding applications of EMI data in precision agricultural management decisions & data in precision agriculture potentially relevant to the interpretation of EMI datasets in archaeology
DOI: 10.34740/kaggle/dsv/5190026
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.22298884
title: Untitled Item

description: According to the FeNO value at the first visit, the subjects were divided into different high- and low-FeNO groups according to the ATS guidelines and the Chinese multicenter study recommendations.
DOI: 10.6084/m9.figshare.22298884.v1
title: Untitled Item

description: According to the FeNO value at the first visit, the subjects were divided into different high- and low-FeNO groups according to the ATS guidelines and the Chinese multicenter study recommendations.
DOI: 10.5281/zenodo.7749072
title: 06.01_manhattan_exampleData

description: Example data for the book "Plot in R" from https://touchumind.com/plot-in-r/
DOI: 10.5281/zenodo.7749071
title: 06.01_manhattan_exampleData

description: Example data for the book "Plot in R" from https://touchumind.com/plot-in-r/
DOI: 10.6084/m9.figshare.22298893
title: feno

description: According to the FeNO value at the first visit, the subjects were divided into different high- and low-FeNO groups according to the ATS guidelines and the Chinese multicenter study recommendations.
DOI: 10.21227/p33x-qa95
title: ERP Imagery Dataset

description: This dataset collects the responses elicited in 10 different subjects brain when imagining 10 different semantic categories of stimuli belonging to visual and auditory domain.The responses are acquired using an electrodes cap. The 126 electrodes are placed accordin to the 10/5% system by Oostenveld.
DOI: 10.7945/8fd6-y315
title: List of Invasive Species in the Midwestern United States with Ornamental Origin
DOI: 10.21227/jv22-8x07
title: Time Series Data of Battery Energy Storage System

description:  This Data is collected from a MW-size energy storage pilot system located on the Baoshan campus of National Changhua University of Education (NCUE).  A significant amount of research is done through this in oreder to improve grid efficiency and stability, making important contributions to establish a green energy network in Taiwan.This dataset is a time-series changes in paramaters such as voltage , current , power factor and Kilowatt hour.
DOI: 10.5281/zenodo.7749090
title: Field images of lavakas (gullies) in Madagascar

description: Curated set of lavaka (gully) field images, with descriptions and locations. This set of 688 images, taken in 2005 and 2006, provides both a comprehensive repository of the range of types of lavakas, in different stages of evolution and of different sizes; as well as a record of their condition in the early 2000s that can be used for ongoing comparative analysis.
description: Funding from National Science Foundation grant EAR 0921962 to Rónadh Cox
DOI: 10.5281/zenodo.7749089
title: Field images of lavakas (gullies) in Madagascar

description: Curated set of lavaka (gully) field images, with descriptions and locations. This set of 688 images, taken in 2005 and 2006, provides both a comprehensive repository of the range of types of lavakas, in different stages of evolution and of different sizes; as well as a record of their condition in the early 2000s that can be used for ongoing comparative analysis.
description: Funding from National Science Foundation grant EAR 0921962 to Rónadh Cox
DOI: 10.5281/zenodo.7749132
title: Crypto Price Monitoring Dataset for On-chain Derivatives Research

description: # Crypto Price Monitoring Repository This repository contains two CSV data files that were created to support the research titled "Price Arbitrage for DeFi Derivatives." This research is to be presented at the IEEE International Conference on Blockchain and Cryptocurrencies, taking place on 5th May 2023 in Dubai, UAE. The data files include monitoring prices for various crypto assets from several sources. The data files are structured with five columns, providing information about the symbol, unified symbol, time, price, and source of the price. ## Data Files There are two CSV data files in this repository (one for each date): 1. `Pricemon_results_2022_11_01.csv`<br> 2. `Pricemon_results_2022_11_08.csv` ## Data Format Both data files have the same format and structure, with the following five columns: 1. `symbol`: The trading symbol for the crypto asset (e.g., BTC, ETH).<br> 2. `unified_symbol`: A standardized symbol used across different platforms.<br> 3. `time`: Timestamp for when the price data was recorded (in UTC format).<br> 4. `price`: The price of the crypto asset at the given time (in USD).<br> 5. `source`: The name of the price source for the data. ## Price Sources The `source` column in the data files refers to the provider of the price data for each record. The sources include: - `chainlink`: Chainlink Price Oracle<br> - `mycellium`: Built-in oracle of the Mycellium platform<br> - `bitfinex`: Bitfinex cryptocurrency exchange<br> - `ftx`: FTX cryptocurrency exchange<br> - `binance`: Binance cryptocurrency exchange ## Usage You can use these data files for various purposes, such as analyzing price discrepancies across different sources, identifying trends, or developing trading algorithms. To use the data, simply import the CSV files into your preferred data processing or analysis tool. ### Example Here's an example of how you can read and display the data using Python and the pandas library: import pandas as pd<br> <br> # Read the data from CSV file<br> data = pd.read_csv('Pricemon_results_2022_11_01.csv')<br> <br> # Display the first 5 rows of the data<br> print(data.head())` ## Acknowledgements These datasets were recorded and supported by Datamint company (value-added on-chain data provider) and its team. <br> ## Contributing If you have any suggestions or find any issues with the data, please feel free to contact authors.