cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7391341
title: Dataset for FigS2F in "DNA is the allosteric driver for the asymmetric binding of homodimer estrogen-related receptor"

description: <strong>Abstract</strong> The estrogen-related receptors (ERRs, NR3B), orphan members of the steroid hormone receptor (SR) subfamily (NR3), are crucial for the transcriptional control of cellular energy metabolism. As basal members of NR3 subfamily, the ERRs are key elements for the understanding of how the binding of SRs to DNA evolved from monomeric to dimeric palindromic binding sites. To unravel the initial steps of DNA selection by SRs, we combined structural, biophysical and phylogenetic studies. Our results unveil the molecular mechanisms of the ERR dimerization which are imprinted in the protein itself with DNA acting as an allosteric driver by allowing the formation of a novel extended asymmetric dimerization region (KR-box). Phylogenetic analyses suggest that the dimerization asymmetry used by ERRs is an ancestral feature necessary for establishing a strong overall dimerization interface, which was progressively lost in the course evolution by other SRs. <strong>Methods</strong> Ancestral character reconstruction and stochastic mapping were performed under R version 4.1.2 using the make.simmap function as implemented in the phytools package version 1.0-1. Character evolution was inferred using a model of symmetrical transition rates between the character states (SYM). 10 000 character histories were sampled to allow the incorporation of the uncertainty associated with the transition between different states. Inferred state frequencies for ancestral nodes were plotted using the describe.simmap function. <strong>Usage Notes</strong> This dataset contains all the files necessary to reproduce Figure S2 of the associated paper (Patel et al., in preparation). Those files are: - script_FigS2F.R : the R script necessary to load the data and process them as indicated in the methods section. The outputs of character mappings are also indicated in the script file, in order that the user can compare them with the results he would get on his/her own computer. - tree_FigS2F.nex: the backbone tree used for character mapping - FigS2F_KR_box.csv: the data table containing the presence-absence data regarding the KR box motif for each nuclear receptor.
DOI: 10.5281/zenodo.8073654
title: Dataset for FigS2F in "DNA is the allosteric driver for the asymmetric binding of homodimer estrogen-related receptor"

description: <strong>Abstract</strong> The estrogen-related receptors (ERRs, NR3B), orphan members of the steroid hormone receptor (SR) subfamily (NR3), are crucial for the transcriptional control of cellular energy metabolism. As basal members of NR3 subfamily, the ERRs are key elements for the understanding of how the binding of SRs to DNA evolved from monomeric to dimeric palindromic binding sites. To unravel the initial steps of DNA selection by SRs, we combined structural, biophysical and phylogenetic studies. Our results unveil the molecular mechanisms of the ERR dimerization which are imprinted in the protein itself with DNA acting as an allosteric driver by allowing the formation of a novel extended asymmetric dimerization region (KR-box). Phylogenetic analyses suggest that the dimerization asymmetry used by ERRs is an ancestral feature necessary for establishing a strong overall dimerization interface, which was progressively lost in the course evolution by other SRs. <strong>Methods</strong> Ancestral character reconstruction and stochastic mapping were performed under R version 4.1.2 using the make.simmap function as implemented in the phytools package version 1.0-1. Character evolution was inferred using a model of symmetrical transition rates between the character states (SYM). 10 000 character histories were sampled to allow the incorporation of the uncertainty associated with the transition between different states. Inferred state frequencies for ancestral nodes were plotted using the describe.simmap function. <strong>Usage Notes</strong> This dataset contains all the files necessary to reproduce Figure S2 of the associated paper (Patel et al., in preparation). Those files are: - script_FigS2F.R : the R script necessary to load the data and process them as indicated in the methods section. The outputs of character mappings are also indicated in the script file, in order that the user can compare them with the results he would get on his/her own computer. - tree_FigS2F.nex: the backbone tree used for character mapping - FigS2F_KR_box.csv: the data table containing the presence-absence data regarding the KR box motif for each nuclear receptor.
DOI: 10.48557/wbrzgo
title: Replication data for: Spontaneous dyadic behavior predicts the emergence of interpersonal neural synchrony

description: These data support the study Spontaneous dyadic behavior predicts the emergence of interpersonal neural synchrony. We recorded neural activity (EEG) and human behavior (full-body kinematics, eye movements and facial expressions) while dyads of participants were instructed to look at each other without speaking or making co-verbal gestures. The dataset consist of processed EEG and behavioral data (body kinematics, eye gaze and facial expressions).
DOI: 10.25345/c59g5gq3p
title: MassIVE MSV000092248 - Chemical proteomics reveals the target landscape of 1,000 kinase inhibitor tool compounds
title: Here, we profiled the targets of 1,184 compounds from drug discovery projects in lysates of cancer cell lines using the Kinobeads approach. The resulting 500,000 compound-target interactions are available in ProteomicsDB and we exemplify how this molecular resource may be used for research. We anticipate that this molecular resource will aid drug discovery and chemical biology.
DOI: 10.6084/m9.figshare.23515818
title: Raw data- <strong>ShcD-CH2 domain S162L mutation activates the JAK/STAT pathway</strong>

description: The data represent western blotting raw data, flow cytometery and absolute count for next generation data. The used cell lines are: HCT116 and FM 55.
DOI: 10.6084/m9.figshare.23515818.v1
title: Raw data- <strong>ShcD-CH2 domain S162L mutation activates the JAK/STAT pathway</strong>

description: The data represent western blotting raw data, flow cytometery and absolute count for next generation data. The used cell lines are: HCT116 and FM 55.
DOI: 10.5281/zenodo.7780850
title: Data from: Kir2.1 modulation in macrophages sensitises dorsal root ganglion neurons through TNF secretion after nerve injury

description: This data pertain to the manuscript titled "Kir2.1 modulation in macrophages sensitises dorsal root ganglion neurons through TNF secretion after nerve injury", currently in preprint on BioRxiv (https://doi.org/10.1101/2023.06.21.545843). The name of the data files correspond to the for each figure in the study. The data file in .csv format are organized so that they can easily be opened in R or other analysis language. To understand them and how they are labelled, it is advised to open the figure next to them and find the appropriate panel. Here are included: Example images of section of mouse dorsal root ganglion (DRG) after spared nerve injury (SNI), labelled for CX3CR1+ cells, Ki67 and MHC class II by immunohistochemistry. LC-MS-MS proteomic data set of CX3CR1+ cells from DRG of mice after SNI. Voltage clamp data of CX3CR1+ cells from DRG of mice after SNI Electrophysiological data sets (multi-electrode array, current clamp and voltage clamp) of dissociated DRG neurons treated with medium conditioned by CX3CR1+ or GFAP+ cells sorted from ipsilateral or contralateral DRG from mice after SNI. In addition, pharmacological treatments were added to the conditioned medium (CM).
DOI: 10.5281/zenodo.7780849
title: Data from: Kir2.1 modulation in macrophages sensitises dorsal root ganglion neurons through TNF secretion after nerve injury

description: This data pertain to the manuscript titled "Kir2.1 modulation in macrophages sensitises dorsal root ganglion neurons through TNF secretion after nerve injury", currently in preprint on BioRxiv (https://doi.org/10.1101/2023.06.21.545843). The name of the data files correspond to the for each figure in the study. The data file in .csv format are organized so that they can easily be opened in R or other analysis language. To understand them and how they are labelled, it is advised to open the figure next to them and find the appropriate panel. Here are included: Example images of section of mouse dorsal root ganglion (DRG) after spared nerve injury (SNI), labelled for CX3CR1+ cells, Ki67 and MHC class II by immunohistochemistry. LC-MS-MS proteomic data set of CX3CR1+ cells from DRG of mice after SNI. Voltage clamp data of CX3CR1+ cells from DRG of mice after SNI Electrophysiological data sets (multi-electrode array, current clamp and voltage clamp) of dissociated DRG neurons treated with medium conditioned by CX3CR1+ or GFAP+ cells sorted from ipsilateral or contralateral DRG from mice after SNI. In addition, pharmacological treatments were added to the conditioned medium (CM).
DOI: 10.24403/jp.1316744
title: Was ist Kandis Adanson (1763)? / Friedrich Karl Meyer
DOI: 10.18716/dch/a.00000026
title: SCOPIC Corpus Low German

description: This collection contains a recording of the Family Problems Picture Task (San Roque et al. 2012) in Low German, a dialect variety of the Lower Rhine area in Germany. The recording forms part of the SCOPIC Project (Social Cognition Parallax Interview Corpus, see https://scopicproject.wordpress.com/ as well as Barth and Evans 2017). The goal of SCOPIC is to collect corpus data that are at the same time naturalistic and matched across languages through the use of an interactive problem-solving task.
DOI: 10.18716/dch/a.00000027
title: Yurakaré word list recordings

description: This dataset contains a collection of Yurakaré (glottolog: yura1255) word list recordings from 70 speakers made in 2018 and 2019. Yurakaré is a language isolate spoken by around 1.600 people in the Andean foothills of central Bolivia.
DOI: 10.5281/zenodo.8073710
title: Dataset: Client-Perpetrated Violence, Intent to Leave and Work-Related Rumination

description: This repository contains information about the longitudinal data utilized in a study investigating the bidirectional relationship between exposure to client-perpetrated violence and intention to leave. Work-related rumination was also investigated as a potential mediator in the proposed forward relationship, and is thus also included in the dataset. The data was collected in 3 waves over a period of 12 months, with a 6-month time-lag between measurement points. The baseline assessment was conducted electronically in March 2020 (T1), while the subsequent follow-up periods were conducted in September 2020 (T2), and March 2021 (T3). Due to GDPR, the dataset will only be available upon reasonable request after the project period has ended.
DOI: 10.5281/zenodo.8073709
title: Dataset: Client-Perpetrated Violence, Intent to Leave and Work-Related Rumination

description: This repository contains information about the longitudinal data utilized in a study investigating the bidirectional relationship between exposure to client-perpetrated violence and intention to leave. Work-related rumination was also investigated as a potential mediator in the proposed forward relationship, and is thus also included in the dataset. The data was collected in 3 waves over a period of 12 months, with a 6-month time-lag between measurement points. The baseline assessment was conducted electronically in March 2020 (T1), while the subsequent follow-up periods were conducted in September 2020 (T2), and March 2021 (T3). Due to GDPR, the dataset will only be available upon reasonable request after the project period has ended.
DOI: 10.18716/dch/a.00000025
title: Yurakaré Covid-19 interviews

description: This dataset contains recordings of interviews concerning the Covid-19 pandemic among Yurakaré people. The interviews were conducted in Yurakaré (Glottolog: yura1255) and Spanish by speakers of Yurakaré between 2020 and 2022. Yurakaré is a language isolate spoken by around 1.600 people in the Andean foothills of central Bolivia.
DOI: 10.5281/zenodo.8073727
title: TopPosts Facebook Initial Dataset

description: The current dataset is composed of 1290 comments derived from the Facebook official pages of more than 100 Libraries, Archives and Museums (LAMs) from all over the world. The dataset is consisted from 11 different columns, that is, 11 different Facebook metrics: date, last day of data pre- processing, total number of days, message (initial), translate in English, post length, page, number of likes, number of comments (total), post interaction, link. These text data could be a valuable resource for researchers and social media administrators of LAMs with the purpose to set up well-informed social media strategies improve the content that they post, and thus users’ engagement.
DOI: 10.5281/zenodo.8073726
title: TopPosts Facebook Initial Dataset

description: The current dataset is composed of 1290 comments derived from the Facebook official pages of more than 100 Libraries, Archives and Museums (LAMs) from all over the world. The dataset is consisted from 11 different columns, that is, 11 different Facebook metrics: date, last day of data pre- processing, total number of days, message (initial), translate in English, post length, page, number of likes, number of comments (total), post interaction, link. These text data could be a valuable resource for researchers and social media administrators of LAMs with the purpose to set up well-informed social media strategies improve the content that they post, and thus users’ engagement.
DOI: 10.5281/zenodo.8069433
title: Evolutionary adaptation of trees and modelled future larch forest extent in Siberia. Code and simulation data

description: Code and datset used for the publication: "Evolutionary adaptation of trees and modelled future larch forest extent in Siberia" 2023 Gloy et al.
DOI: 10.5281/zenodo.8069432
title: Evolutionary adaptation of trees and modelled future larch forest extent in Siberia. Code and simulation data

description: Code and datset used for the publication: "Evolutionary adaptation of trees and modelled future larch forest extent in Siberia" 2023 Gloy et al.
DOI: 10.5517/ccdc.csd.cc29cx7v
title: CCDC 2126607: Experimental Crystal Structure Determination

description: Related Article: Surya Pratap Singh, Shivani Arora, Prashant Kumar Bhardwaj, Anand Singh|2023|Org.Biomol.Chem.|21|4962|doi:10.1039/D3OB00583F
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.cc2dp77l
title: CCDC 2224939: Experimental Crystal Structure Determination

description: Related Article: Ke Ge, LongChao Du|2023|Polyhedron|239|116450|doi:10.1016/j.poly.2023.116450
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.cc2dp78m
title: CCDC 2224940: Experimental Crystal Structure Determination

description: Related Article: Ke Ge, LongChao Du|2023|Polyhedron|239|116450|doi:10.1016/j.poly.2023.116450
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.cc2dc284
title: CCDC 2215175: Experimental Crystal Structure Determination

description: Related Article: Gen Li, Tanya K. Ronson, Roy Lavendomme, Zehuan Huang, Carles Fuertes-Espinosa, Dawei Zhang, Jonathan R. Nitschke|2023|Chem (Cell Press)|9|1549|doi:10.1016/j.chempr.2023.03.011
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.cc2dp7bp
title: CCDC 2224942: Experimental Crystal Structure Determination

description: Related Article: Ke Ge, LongChao Du|2023|Polyhedron|239|116450|doi:10.1016/j.poly.2023.116450
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: 10.13026/6phb-r450
title: You Snooze You Win: The PhysioNet/Computing in Cardiology Challenge 2018

description: The goal of the challenge is use information from the available signals to
correctly classify target arousal regions.
DOI: 10.34808/b8pn-1523
title: The complete lists of 1D reversible number-conserving cellular automata with radius one of up to 7 states

description: This dataset contains complete lists of all one-dimensional reversible number-conserving k-ary cellular automata with radius one of up to 7 states, i.e. with state sets {0,1}, {0,1,2}, {0,1,2,3}, {0,1,2,3,4}, {0,1,2,3,4,5} and {0,1,2,3,4,5,6}.
The detailed definitions and the method of enumerating are given in the paper:
Barbara Wolnik, Maciej Dziemiańczuk, Adam Dzedzej, and Bernard De Baets “Reversibility of number-conserving 1D cellular automata: unlocking insights into the dynamics for larger state sets”.
For a given number of states k, we use m=k-1 as the largest state. The list of all one-dimensional reversible number-conserving k-ary cellular automata with radius one with state set {0,1,...,m} is given in the look up table format, i.e.,each rule f is given as the string
f(000) f(001) ... f(00m) f(010) ... f(01m) ... f(mm0) f(mm1) ... f(mmm)
of k^3 integers from the set {0,1, ..., m}.
The dataset contains a single file 1D-reversible-NCCAs-k-states.txt for each k in {5,6,7}. Each file contains a header line formatted as "The complete list of [number] 1D reversible number-conserving cellular automata with radius 1 and state set {0,...,m}". The header line is followed by [number] lines containing strings denoting the look up table of the listed automaton.
The complete lists of rules for k=2, 3, 4, were already known. For example, they are given in the paperImai K., Martin B., Saito R. (2018) On Radius 1 Nontrivial Reversible and Number-Conserving Cellular Automata. In: Adamatzky A. (eds) Reversibility and Universality. Emergence, Complexity and Computation, vol 30. Springer, Cham. DOI: 10.1007/978-3-319-73216-9_12. 
We attach the known lists in the file 1D-reversible-NCCAs-2-3-4-states.txt in order to give researchers a possibility to have all results relevant to the subjects in one place.
DOI: 10.5066/p9e96adu
title: Humpback chub (Gila cypha) capture histories and growth data for two areas in the Colorado River network from 2009-2022 and 2017-2022

description: These data were compiled for a manuscript entitled 'Vital rates of a burgeoning population of Humpback Chub in western Grand Canyon. Objective(s) of our study were to compare survival and growth of humpback chub in western Grand Canyon to that from the more established metapopulation in eastern Grand Canyon that spawns in the Little Colorado River (LCR). These data represent capture histories of fish based on mark-recapture data. These data were collected in eastern Grand Canyon (CR-east study site) and in the western Grand Canyon (CR-west study site). The CR-east reach sites are located at the lower 13.56 rkm of the LCR and in the mainstem of the Colorado River at river kilometers (rkm) 126.2-128.7 (2009-2016) and was expanded to rkm 125-130.4 in 2017-2022, and the CR-west site is located 363-368.5 river kilometers downstream of Glen Canyon Dam. For the Von Bertalanffy growth analysis, data were collected from 330-410 rkm downstream of Glen Canyon Dam for capture histories and growth data, respectively. These data were collected by the Grand Canyon Monitoring and Research Center (U.S. Geological Survey-Southwest Biological Science Center) and U.S. Fish and Wildlife Service. Fish were implanted with passive integrated transponder (PIT) tags that allowed for individual identification upon future recapture and these data allow us to construct capture histories for individual fish and fit mark-recapture models. These data can be used to estimate survival, growth, abundance, and movement of humpback chub in eastern and western Grand Canyon.
DOI: 10.57826/keen/0dd6sm
title: DN15_Extraction_column_Images

description: Image Data set for binary classification of a DN15 extraction column
DOI: 10.57826/keen/odu6ma
title: Datasets from multiple cycles

description: The dataset contains data generated from several different cycles from the Batch Simulator described in the the paper.
DOI: 10.57826/keen/qy2fae
title: Flow Regime Classification - Experiments SoSe2022

description: Data collected in the bioreactor to classify flow regimes
DOI: 10.57826/keen/ukemug
title: DEXPI - P training data

description: DEXPI - PIDs of different plants for use as training dataset for artificial neural networks. The dataset contains the following data both as DEXPI and PDF: Industrial distillation plants: Example of an industrial distillation plant including augmentation by adding modifications Laboratory plants: Different modular plants (TU Dortmund, Laboratory of Equipment Design) in laboratory scale Absorption desorption plants: Absorption desorption plants including augmentation by adding modifications
DOI: 10.57826/keen/nfor42
title: DEXPI2GraphML converter

description: Windows Application to convert DEXPI P&IDs into GraphML datasets.