cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8154008
title: Data for: "Parallel implementation of CNOT^N and C_2NOT^2 gates via homonuclear and heteronuclear Forster interactions of Rydberg atoms"

description: Datasets for “Parallel implementation of CNOT^N and C_2NOT^2 gates via homonuclear and heteronuclear Forster interactions of Rydberg atoms”, by Ahmed M. Farouk, I.I. Beterov, Peng Xu, S. Bergamini, and I.I. Ryabtsev This repository contains files, each representing data plotted in the manuscript in .csv format. For more details please see manuscript. preprint url: https://arxiv.org/abs/2206.12176 Contact details: ahmed.farouk@azhar.edu.eg
description: This work is supported by the Russian Science Foundation (Grant No. 23-42-00031).
DOI: 10.25582/data.2021-05.2232003/2103305
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232212/2103306
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232580/2103307
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232001/2103308
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232438/2103309
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232618/2103310
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232019/2103311
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2231968/2103312
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2233732/2103313
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232274/2103314
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232295/2103315
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232545/2103316
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232425/2103317
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232666/2103318
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232168/2103319
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232467/2103320
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232519/2103321
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232125/2103322
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232592/2103323
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232665/2103324
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232642/2103325
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232760/2103326
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232294/2103327
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2020-03.1963011/2103328
title: Data for EMSL Project 51241 from March 2020
DOI: 10.25582/data.2021-05.2232430/2103329
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232339/2103330
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232271/2103331
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232446/2103332
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232928/2103333
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232471/2103334
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232549/2103335
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232619/2103336
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232694/2103337
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232921/2103338
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232215/2103339
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232427/2103340
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232237/2103341
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232313/2103342
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232730/2103343
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232420/2103344
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232472/2103345
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232490/2103346
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232668/2103347
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232233/2103348
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232920/2103349
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2020-01.1915281/2103350
title: Data for EMSL Project 51241 from January 2020
DOI: 10.25582/data.2021-05.2232126/2103351
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232185/2103352
title: Data for EMSL Project 51241 from May 2021
DOI: 10.5281/zenodo.10020496
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1961

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1961.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10020497
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 1961

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1961.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.25582/data.2020-01.1915330/2103353
title: Data for EMSL Project 51241 from January 2020
DOI: 10.25582/data.2021-05.2232000/2103354
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232477/2103355
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2231978/2103356
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232133/2103357
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232240/2103358
title: Data for EMSL Project 51241 from May 2021
DOI: 10.5281/zenodo.8285325
title: OpenLLMText Dataset

description: The dataset contains approximately 300k text entries collected from 5 different sources (Human, ChatGPT, PaLM, LLaMA, GPT2-XL).


60k of them are Human-written, randomly selected from the OpenWebText dataset. These entries are collected from the user generated content from Reddit before 2019.


60k of them are the ChatGPT's (gpt3.5-turbo) paragraph-by-paragraph rephrasing for the human written data.


60k of them are the PaLM's (Pathway Language Model, text-bison-001) paragraph-by-paragraph rephrasing for the human written data.


60k of them are the LLaMA-7B's (Large Language Model Meta AI) paragraph-by-pargraph rephrasing for the human written data.


60k of them are the data adapted from the GPT2-output dataset released by the OpenAI (GPT2-XL).
DOI: 10.5281/zenodo.8285326
title: OpenLLMText Dataset

description: The dataset contains approximately 300k text entries collected from 5 different sources (Human, ChatGPT, PaLM, LLaMA, GPT2-XL).


60k of them are Human-written, randomly selected from the OpenWebText dataset. These entries are collected from the user generated content from Reddit before 2019.


60k of them are the ChatGPT's (gpt3.5-turbo) paragraph-by-paragraph rephrasing for the human written data.


60k of them are the PaLM's (Pathway Language Model, text-bison-001) paragraph-by-paragraph rephrasing for the human written data.


60k of them are the LLaMA-7B's (Large Language Model Meta AI) paragraph-by-pargraph rephrasing for the human written data.


60k of them are the data adapted from the GPT2-output dataset released by the OpenAI (GPT2-XL).
DOI: 10.25582/data.2021-05.2232381/2103359
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232743/2103360
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232194/2103361
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232711/2103362
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232222/2103363
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232583/2103364
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232122/2103365
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232756/2103366
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232005/2103367
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2233715/2103368
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232418/2103369
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232059/2103370
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232239/2103371
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232169/2103372
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232775/2103373
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232561/2103374
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232255/2103375
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232925/2103376
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232929/2103377
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2233692/2103378
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-03.2188248/2103379
title: Data for EMSL Project 51241 from March 2021
DOI: 10.25582/data.2020-01.1915194/2103380
title: Data for EMSL Project 51241 from January 2020
DOI: 10.25582/data.2021-05.2232084/2103381
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232230/2103382
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232528/2103383
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232732/2103384
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232190/2103385
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232120/2103386
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25345/c5br8ms5d
title: MassIVE MSV000093149 - A Multi-omic Survey of Poplar Tissues Highlights Coordinated Transcriptomic and Metabolomic Mechanisms for Plant Adaptation to Phosphorus Limitation
title: Proteomics data from a phosphorus limitation study on the leaves and roots of Populus trichocarpa seedlings to better understand the molecular mechanisms underlying tissue-specific responses to phosphorus limitation.
DOI: 10.25582/data.2021-05.2232493/2103387
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232560/2103388
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232721/2103389
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232208/2103390
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232707/2103391
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232752/2103392
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232046/2103393
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/fywzyvgnkb.1
title: Deep scRNA sequencing reveals a broadly applicable Regeneration Classifier and implicates antioxidant response in corticospinal axon regeneration by Kim et al.2023 Samples

description: Despite substantial progress in understanding the biology of axon regeneration in the CNS, our ability to promote regeneration of the clinically important corticospinal tract (CST) after spinal cord injury remains limited. To understand regenerative heterogeneity, we conducted patch-based single cell RNA sequencing on rare regenerating CST neurons at high depth following PTEN and SOCS3 deletion. Supervised classification with Garnett gave rise to a Regeneration Classifier, which can be broadly applied to predict the regenerative potential of diverse neuronal types across developmental stages or after injury. Network analyses highlighted the importance of antioxidant response and mitochondrial biogenesis. Conditional gene deletion validated a role for NFE2L2 (or NRF2), a master regulator of antioxidant response, in CST regeneration. Our data demonstrate a universal transcriptomic signature underlying the regenerative potential of vastly different neuronal populations, and illustrate that deep sequencing of only hundreds of phenotypically identified neurons has the power to advance regenerative biology.
DOI: 10.25582/data.2021-05.2232188/2103394
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/cnvmn4ghh8.1
title: Embodied cross-modal interactions

description: Details are in the readme.txt
DOI: 10.25582/data.2021-05.2232604/2103395
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/s4n7397jvr.1
title: Dataset for analysing the ESG-oriented technical efficiency of VNSI listed companies. 

description: Financial data and ESG disclosure information are publicly available on the websites of the companies. Stock market data, reflecting the fluctuations of the companies' stocks, is stored on the Fireant website.
DOI: 10.17632/s4n7397jvr.2
title: Dataset for analysing the ESG-oriented technical efficiency of VNSI listed companies. 

description: Financial data and ESG disclosure information are publicly available on the websites of the companies. Stock market data, reflecting the fluctuations of the companies' stocks, is stored on the Fireant website.
DOI: 10.17632/h7sprj724r.1
title: Alternative splicing of histone demethylase Kdm6bb mediates temperature induced sex reversal in the Nile tilapia (Oreochromis niloticus)

description: Raw data for all figures in the manuscript and supplementary Information by Yao et al. to be published by Current Biology as "Alternative splicing of histone demethylase Kdm6bb mediates temperature induced sex reversal in the Nile tilapia (Oreochromis niloticus)"
DOI: 10.25582/data.2021-05.2232157/2103396
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/9v7ftgswc5.1
title: Supplementary Material for "Safe essential scalar-tensor theories"

description: Supplementary Material for "Safe essential scalar-tensor theories". Mathematica notebook containing some results.
DOI: 10.25582/data.2021-05.2232524/2103397
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/94x4mh7ssz.1
title: Numerical data for: Surface-induced oxidation of Mn(II) and crystallization of manganese (hydr)oxides on clay minerals

description: Raw numerical data for all figures in the article and supplementary material by Yang et al. to be published by Geochimica et Cosmochimica Acta as "Surface-induced oxidation of Mn(II) and crystallization of manganese (hydr)oxides on clay minerals".
DOI: 10.25582/data.2021-05.2232678/2103398
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232708/2103399
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/ss6kbtszjn.1
title: Data simulation and analysis of a process to validate the list of prognostic factors in unanchored MAIC

description: The code file contains the steps to create a simulated data set and the analytics steps for the demonstration of a proposed process to validate the prognostic factors to be used in unanchored matching-adjusted indirect comparison (MAIC). The data were created based on the aforementioned simulation and are entirely hypothetical.
DOI: 10.17632/zsmjcx3x4x.1
title: Sakib et al.

description: Gamma-ray Induced, Superabsorbent, Optimized, and Reusable Polyethylene Oxide/Starch/4-Styrenesulfonic Acid Sodium Salt Hydrogel Can Adsorb Cationic Dyes and Chromium (III) Ion Sakib Hossain Bhuiyan1,2, Md. Saifur Rahaman2,3*, Tanvir Ahmed2, Shah Md. Marzuk Hasnine2, Sadia Afroz1, 4Monia Jannatul Kubra1,2, Salma Sultana2, Moriom Afiza1,2, Md. Ashraful Alam1*
DOI: 10.25582/data.2021-05.2233720/2103400
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/v4mgvkjt2z.1
title: You Can't Always Get What You Want (Where You Want It): Cross-Border Effects of the US Money Market Fund Reform

description: Included are the readme file and the codefiles needed to reproduce the empirical results in the paper "You Can't Always Get What You Want (Where You Want It): Cross-Border Effects of the US Money Market Fund Reform" by Daniel Fricke, Stefan Greppmair, and Karol Paludkiewicz, published in the Journal of International Economics. Note: access to the main datasets is restricted and we cannot share the underlying datasets. However, researchers with access to the datasets should be able to reproduce all figures/tables on the basis of the provided codes.
DOI: 10.17632/v4mgvkjt2z.2
title: You Can't Always Get What You Want (Where You Want It): Cross-Border Effects of the US Money Market Fund Reform

description: Included are the readme file and the codefiles needed to reproduce the empirical results in the paper "You Can't Always Get What You Want (Where You Want It): Cross-Border Effects of the US Money Market Fund Reform" by Daniel Fricke, Stefan Greppmair, and Karol Paludkiewicz, published in the Journal of International Economics. Note: access to the main datasets is restricted and we cannot share the underlying datasets. However, researchers with access to the datasets should be able to reproduce all figures/tables on the basis of the provided codes.
DOI: 10.25582/data.2021-05.2232259/2103401
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232385/2103402
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232047/2103403
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232338/2103404
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232620/2103405
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2233930/2103406
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232238/2103407
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232358/2103408
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2020-01.1915322/2103409
title: Data for EMSL Project 51241 from January 2020
DOI: 10.25582/data.2021-05.2232245/2103410
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232398/2103411
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232377/2103412
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232454/2103413
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232550/2103414
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232624/2103415
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232593/2103416
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232359/2103417
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2233695/2103418
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232378/2103419
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232551/2103420
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232457/2103421
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2233809/2103422
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232456/2103423
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232308/2103424
title: Data for EMSL Project 51241 from May 2021
DOI: 10.3886/e194581
title: 100 CLT UK Projects

description: The study data was acquired from an industry report prepared by Waugh and Thistleton (2018) and funded by the Softwood Lumber Board & Forestry Innovation Investment. The report is entitled “100 UK CLT Projects” and showcased a wide array of CLT projects between the years 2005 and 2018. For each project, the following information is provided: general description of the project, schematic drawings, project renderings or real photos, abstract construction data, the project type, the project team, and the structure type. This study depended mainly on the project team composition data. The team of each project included a firm or more of the following stakeholders: architect, structural engineer, main contractor, timber engineer, timber contractor, and timber manufacturers. The report information was coded in a tabular format to capture the structure type and the collaborating team data for each project. First, a project data table was created to assign each project a unique identification number and provide the following data fields: structure type and the project team firms. It should be noted that some project teams involved multiple firms of the same stakeholder type, e.g. a large or complex project may involve multiple architects, engineers or main contractors. Second, the unique firm instances are filtered from the project records and assigned unique identification numbers. Third, a data matrix structure was created to relate each project (as rows) to the involved team stakeholder firm (as columns). There were a total of 261 project stakeholders involved in these projects, including: 73 architecture, 58 structural engineering, 74 main contracting, 31 timber engineering, 10 timber contracting, and 15 timber manufacturing companies. To perform the longitudinal analysis, the projects and their stakeholder firms were organized in four time periods.