A global-scale drought projection based on century-long multimodel hydrological simulations; the dataset provides historical and future time-series of drought frequency (the number of drought days per year) under changing climate at 0.5°×0.5° spatial resolution globally, covering 239 years (1861-2099). In terms of the future period, two climate change scenarios (the Representative Concentration Pathways 2.6 and 8.5) are considered. The multimodel ensemble data consists of 20 members, containing five global hydrological models forced by bias-corrected climate projections deriving from four climate models. Daily river discharge was investigated to quantify hydrological drought conditions. Using this data set, we estimate the timing of unprecedented hydrological drought under climate change. Please find technical details in Satoh et al. 2022 Nat Commns (Accepted, 2022 April). This repository contains scripts utilized for Satoh et al. 2022 and the key processed dataset.

데이터 개요 :

• 기계가 과학기술 문헌을 읽고 이해하는 능력을 평가하기 위한 질의응답 데이터셋
• 국내 한글 논문에서 질문과 정답 쌍 구축

데이터 설명 : 기계가 과학기술 문헌을 읽고 이해하는 능력을 평가하기 위한 질의응답 데이터셋

데이터 개요 :

• 국가과학기술표준분류체계 기반의 분류 문제를 해결하기 위한 데이터셋
• 국내 논문 3만 건을 대상으로 전문가가 연구분야를 분류한 데이터셋

데이터 개요 :

• The data for extracting metadata from PDF domestic papers.
• The data contains information in layout box extracted from each PDF paper with labels corresponding to metadata field types.
• The information in each layout box are unique code, text, coordinates(x0, y0, x1, y1) of box, width of box, height of box and font size.
• The file named as “train.txt” was constructed through the fully automatic inspection process. It contains a total of 5,241,746 labeled layout boxes for 295,306 papers in 503 journals. It was used as train set.
• The file named as “valid.txt” was developed through the manual inspection process by several annotators. It contains a total of 155,629 labeled layout boxes for 9,895 papers in 503 journals.
• The file named as “test.txt” was built through the manual inspection process. It contains a total of 159,925 labeled layout boxes for 10,119 papers in 503 journals. It was used as test set.

Data statistics

Data	File name	#Jounal	#Paper	#Layout Box
Train set	train.txt	503	295,306	5,241,746
Valid set	valid.txt		9,895	155,629
Test set	test.txt		10,119	159,925

Raw diffraction data for mpro-x1392 / PDB ID 5RFT (see: https://www.ebi.ac.uk/pdbe/entry/pdb/5RFT) - SARS-CoV-2 main protease in complex with PCM-0102432 (SMILES:ClCC(=O)N1CC(c2ccccc2)c3ccccc3C1) collected as part of an XChem crystallographic fragment screening campaign on beamline i04-1 at Diamond Light Source. The deposited structure was automatically processed with standard Diamond tools and PanDDA, however the raw data are being made available to allow reanalysis by any interested party.