cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17909/t96q5m
title: A Wide-Field WFC3 Imaging Survey in the COSMOS Field ("COSMOS-DASH")

description: COSMOS-Drift And SHift (COSMOS-DASH) is a Hubble Space Telescope WFC3 imaging survey of the COSMOS field in the F160W filter, comprising 456 WFC3 pointings covering an area of 0.49 deg^2, giving 0.66 deg^2 of total data in the archive. By taking advantage of the unique Drift And SHift (DASH) observing mode, COSMOS-DASH is the widest HST/WFC3 imaging survey in F160W, tripling the extragalactic survey area in the near-infrared at HST resolution. Generally, guide star acquisitions make it impractical to observe multiple pointings per orbit, so very wide near-IR surveys with HST are inefficient. However, this limitation can be overcome by guiding with gyros alone, which is possible when HST operates with three gyros. COSMOS-DASH observed eight independent WFC3-IR pointings per orbit, taking advantage of the fact that HST drifts by only a very small amount in the 25 seconds between non-destructive reads of unguided exposures. This dataset contains the drizzled mosaic products as well as derived morphological information for galaxies in the mosaic.
DOI: 10.25721/wjq1-t078
title: Information sur l'accordéon
DOI: 10.25721/an1m-dm39
title: Valse "Sous les ponts de Paris"
DOI: 10.25721/zn75-fz75
title: Bourrée "Per breu la canta"
DOI: 10.5281/zenodo.5764655
title: Chaos in small microbial communities

description: Predictability is a fundamental requirement in biological engineering. As we move to building coordinated multicellular systems, the potential for such systems to display chaotic behaviour becomes a concern. Therefore understanding which systems show chaos is an important design consideration. We developed a methodology to explore the potential for chaotic dynamics in small microbial communities governed by resource competition, intercellular communication and competitive bacteriocin interactions. We show that we can expect to find chaotic states in relatively small synthetic microbial systems, understand the governing dynamics and provide insights into how to control such systems. This work is the first to query the existence of chaotic behaviour in synthetic microbial communities and has important ramifications for the fields of biotechnology, bioprocessing and synthetic biology.
description: Data and scripts for making figures in the manuscript
DOI: 10.15468/v2xy3v
title: Taxonomy of nisotes Nees (Acanthaceae: Justicieae) in the Comoros Archipelago and a preliminary list of canthaceae in the Islands

description: This dataset contains the digitized treatments in Plazi based on the original journal article Daniel, Thomas F. (2014): Taxonomy of nisotes Nees (Acanthaceae: Justicieae) in the Comoros Archipelago and a preliminary list of canthaceae in the Islands. Candollea 69 (1): 45-54, DOI: 10.15553/c2014v691a5
DOI: 10.5281/zenodo.5764686
title: Chaos in small microbial communities

description: Predictability is a fundamental requirement in biological engineering. As we move to building coordinated multicellular systems, the potential for such systems to display chaotic behaviour becomes a concern. Therefore understanding which systems show chaos is an important design consideration. We developed a methodology to explore the potential for chaotic dynamics in small microbial communities governed by resource competition, intercellular communication and competitive bacteriocin interactions. We show that we can expect to find chaotic states in relatively small synthetic microbial systems, understand the governing dynamics and provide insights into how to control such systems. This work is the first to query the existence of chaotic behaviour in synthetic microbial communities and has important ramifications for the fields of biotechnology, bioprocessing and synthetic biology.
description: Data and scripts for making figures in the manuscript
DOI: 10.5281/zenodo.5764654
title: Chaos in small microbial communities

description: Predictability is a fundamental requirement in biological engineering. As we move to building coordinated multicellular systems, the potential for such systems to display chaotic behaviour becomes a concern. Therefore understanding which systems show chaos is an important design consideration. We developed a methodology to explore the potential for chaotic dynamics in small microbial communities governed by resource competition, intercellular communication and competitive bacteriocin interactions. We show that we can expect to find chaotic states in relatively small synthetic microbial systems, understand the governing dynamics and provide insights into how to control such systems. This work is the first to query the existence of chaotic behaviour in synthetic microbial communities and has important ramifications for the fields of biotechnology, bioprocessing and synthetic biology.
description: Data and scripts for making figures in the manuscript
DOI: 10.25721/1j36-8627
title: Valse "Quand on s'aime bien tous les deux"
DOI: 10.25721/wv7b-rs71
title: Information sur les formules d'introduction
DOI: 10.25392/leicester.data.17129858
title: Final: Interviews and Digital Diaries PLOSOne

description: Interview and digital diary data collected with participants in Secunda during Covid-19.
DOI: 10.25392/leicester.data.17129858.v1
title: Final: Interviews and Digital Diaries PLOSOne

description: Interview and digital diary data collected with participants in Secunda during Covid-19.
DOI: 10.5519/qd.iv0pvuvt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1780 records)
DOI: 10.25721/1r9d-wn54
title: Vaqui lo polit mes de mai
DOI: 10.5281/zenodo.5637812
title: Dataset for "Face Detection in Untrained Deep Neural Networks"

description: <strong>Dataset for</strong> <strong>"Face Detection in Untrained Deep Neural Networks"</strong> Seungdae Baek, Min Song, Jaeson Jang, Gwangsu Kim, and Se-Bum Paik* *Contact: sbpaik@kaist.ac.kr To run demo codes for "Face Detection in Untrained Deep Neural Networks", please download files below. <strong>1. Stimulus.zip</strong> - <strong>IMG_cntr_210521.mat</strong> : A low-level feature-controlled stimulus set was used to find units that responded selectively to face images (Stigliani, 2015). Specifically, 260 images were prepared for each class (face, hand, horn, flower, chair, and scrambled face). - <strong>IMG_var_pos/size/rot_210521.mat</strong> : To investigate the invariance of face-selective units to face images of various sizes, positions, and rotation angles, the image set (Stigliani, 2015) was generated after modifying the size, position, and rotation angle of the faces and other objects in the low-level feature-controlled stimulus set. - <strong>IMG_var_view_210106.mat</strong> : This set was used to find units that invariantly responded to face images of different viewpoints. This dataset consists of five angle-based viewpoint classes (-90°, -45°, 0°, 45°, 90°) with ten different faces obtained from (Gourier 2004) <strong>2. Data.zip</strong> - <strong>Data_PFI_XDream/RevCorr_ClsUnit.mat</strong> : The obtained preferred feature images, using reverse-correlation method and X-Dream, of units selective to each object class. - <strong>Data_SVM_NeuronType.mat</strong> : Simulated face detection performance using distinct types of selective units in Conv5 and using the shuffled responses of face-selective units in untrained networks (a. all selective units, b. units selective to non-face classes (nonface-selective), c. face-selective units, d. units selective to none of these classes (non-selective)). - <strong>Data_SVM_invariance.mat</strong> : Face detection performance with variation of the low-level features. - <strong>PretrainedNet</strong> : Sample networks was untrained and trained with three types of image sets (a. face-reduced ImageNet, b. original ImageNet, c. original ImageNet with added face images (Stigliani, 2015)) (number of networks = 3). - Net_Untrained : untrained AlexNets<br> - Net_FD_ImageNet : AlexNets trained to face-reduced ImageNet<br> - Net_ImageNet : AlexNets trained to original ImageNet<br> - Net_ImageNetwFace : AlexNets trained to original ImageNet with added face images - <strong>Data_Trained.mat</strong> : Result summary of four types of networks above (number of networks = 10).
DOI: 10.5281/zenodo.5637811
title: Dataset for "Face Detection in Untrained Deep Neural Networks"

description: <strong>Dataset for</strong> <strong>"Face Detection in Untrained Deep Neural Networks"</strong> Seungdae Baek, Min Song, Jaeson Jang, Gwangsu Kim, and Se-Bum Paik* *Contact: sbpaik@kaist.ac.kr To run demo codes for "Face Detection in Untrained Deep Neural Networks", please download files below. <strong>1. Stimulus.zip</strong> - <strong>IMG_cntr_210521.mat</strong> : A low-level feature-controlled stimulus set was used to find units that responded selectively to face images (Stigliani, 2015). Specifically, 260 images were prepared for each class (face, hand, horn, flower, chair, and scrambled face). - <strong>IMG_var_pos/size/rot_210521.mat</strong> : To investigate the invariance of face-selective units to face images of various sizes, positions, and rotation angles, the image set (Stigliani, 2015) was generated after modifying the size, position, and rotation angle of the faces and other objects in the low-level feature-controlled stimulus set. - <strong>IMG_var_view_210106.mat</strong> : This set was used to find units that invariantly responded to face images of different viewpoints. This dataset consists of five angle-based viewpoint classes (-90°, -45°, 0°, 45°, 90°) with ten different faces obtained from (Gourier 2004) <strong>2. Data.zip</strong> - <strong>Data_PFI_XDream/RevCorr_ClsUnit.mat</strong> : The obtained preferred feature images, using reverse-correlation method and X-Dream, of units selective to each object class. - <strong>Data_SVM_NeuronType.mat</strong> : Simulated face detection performance using distinct types of selective units in Conv5 and using the shuffled responses of face-selective units in untrained networks (a. all selective units, b. units selective to non-face classes (nonface-selective), c. face-selective units, d. units selective to none of these classes (non-selective)). - <strong>Data_SVM_invariance.mat</strong> : Face detection performance with variation of the low-level features. - <strong>PretrainedNet</strong> : Sample networks was untrained and trained with three types of image sets (a. face-reduced ImageNet, b. original ImageNet, c. original ImageNet with added face images (Stigliani, 2015)) (number of networks = 3). - Net_Untrained : untrained AlexNets<br> - Net_FD_ImageNet : AlexNets trained to face-reduced ImageNet<br> - Net_ImageNet : AlexNets trained to original ImageNet<br> - Net_ImageNetwFace : AlexNets trained to original ImageNet with added face images - <strong>Data_Trained.mat</strong> : Result summary of four types of networks above (number of networks = 10).
DOI: 10.18739/a2st7dz2q
title: Leaf nitrogen and digestibility for Salix pulchra, Betula nana, and Eriophorum vaginatum in short-term (&lt;2 summers) and long-term (~25 summers) warming by open-top chamber in the moist acidic tundra snow fence at Toolik Lake, Alaska, 2018-2019

description: This is a data set contribution from "Nutritional Landscapes of Arctic Caribou: Observations, Experiments, and Models Provide Process-level Understanding of Forage Traits and Trajectories." These data are part pf a long-term snow fence experiment with areas of deep snow and shallow snow relative to ambient snow depth nearby. Within the distinct snow fence zones, open-top chambers (OTCs) were used to warm the ecosystem between roughly early June and late August. The experiment began in 1994 and has been conducted nearly every summer since then. These OTCs represent the long-term warming effects on moist acidic tundra plants and the ecosystem. In addition, for two summers we established an additional set of OTCs to represent short-term warming effects. Here, we focus sampling on species commonly found in caribou diet (Salix pulchra, Betula nana, and Eriophorum vaginatum) and analyzed leaf tissue for nitrogen (N) concentration, components of dry matter digestibility, and protein precipitation capacity (shrubs only) as a measure of digestibility reducing secondary compounds found in plants.
DOI: 10.18154/rwth-2021-07429
title: EduRa database: room models based on room acoustic measurements in primary and preschools

description: doi:10.18154/RWTH-2021-07429
description: Minor Changes on 07.12.2021: An error in the Description-EduRa_database_v20210921.pdf file has been corrected. In the initial version, the terms "Receiver" and "Source" were confused. <br> This database provides five representative rooms in primary schools and preschools for acoustic simulations. A set of (binaural) room impulse responses (RIRs) simulated using an adult and a child artificial head are included for each room.Room acoustic measurements were carried out in Aachen’s primary schools and preschools, where 8 classrooms, 10 playrooms, 3 gyms, 3 multi-purpose rooms and 3 sports rooms were assessed. The dimensions and room acoustic parameters were then clustered to achieve five representative sceneries. Shoebox models with little furniture were created using the average dimension of each cluster, and room acoustic simulations yielding for the average reverberation time of each cluster were done to obtain the (binaural) RIRs.
DOI: 10.6085/aa/marine_ltm.4.10
title: MARINe/PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Sea Stars and Katharina

description: This metadata record documents the Sea Star and Katharina Survey data for the Multi-Agency Rocky Intertidal Network (MARINe) Long-Term Monitoring surveys. These surveys are done throughout the year at sites ranging from Southeast Alaska to Southern California. Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org. The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884
DOI: 10.5281/zenodo.3562442
title: Deep Learning for Black-Box Modeling of Audio Effects

description: Accompanying audio samples for the paper: Martínez Ramírez M. A., Benetos, E. and Reiss J. D., “Deep Learning for Black-Box Modeling of Audio Effects” submitted to the Applied Sciences: Acoustics and Vibration - Digital Audio Effects special issue, December, 2019. Dry and wet bass and guitar recordings. Dry notes are taken from the IDMT-SMT-Audio-Effects dataset. Author: Michael Stein (Fraunhofer IDMT) https://www.idmt.fraunhofer.de/en/business_units/m2d/smt/audio_effects.html Wet notes are recorded from the limiter and preamplifier of a Universal Audio 6176 Vintage Channel Strip and from the horn and woofer of a 145 Leslie speaker cabinet.
DOI: 10.5281/zenodo.3562441
title: Deep Learning for Black-Box Modeling of Audio Effects

description: Accompanying audio samples for the paper: Martínez Ramírez M. A., Benetos, E. and Reiss J. D., “Deep Learning for Black-Box Modeling of Audio Effects” submitted to the Applied Sciences: Acoustics and Vibration - Digital Audio Effects special issue, December, 2019. Dry and wet bass and guitar recordings. Dry notes are taken from the IDMT-SMT-Audio-Effects dataset. Author: Michael Stein (Fraunhofer IDMT) https://www.idmt.fraunhofer.de/en/business_units/m2d/smt/audio_effects.html Wet notes are recorded from the limiter and preamplifier of a Universal Audio 6176 Vintage Channel Strip and from the horn and woofer of a 145 Leslie speaker cabinet.
DOI: 10.5281/zenodo.5764768
title: Will the Internet of Things be Perovskite Powered? Energy Yield Measurement and Real-World Performance of Perovskite Solar Cells in Ambient Light Conditions

description: To be continued....
DOI: 10.5281/zenodo.5764767
title: Will the Internet of Things be Perovskite Powered? Energy Yield Measurement and Real-World Performance of Perovskite Solar Cells in Ambient Light Conditions

description: To be continued....
DOI: 10.25721/99rd-hv86
title: Chant "Vaqui lo polit mes de mai"
DOI: 10.5281/zenodo.5763893
title: Research Data supporting "Self-Sorted, Random, and Block Supramolecular Copolymers via Sequence Controlled, Multicomponent Self-Assembly"

description: Raw research data supporting the article: A. Sarkar, R. Sasmal, C. Empereur-mot, D. Bochicchio, S. V. K. Kompella, K. Sharma, S. Dhiman, B. Sundaram*, S. S. Agasti*, <strong>G. M. Pavan</strong>* and S. J. George*<br> “Self-Sorted, Random and Block Supramolecular Co-polymers via Sequence Controlled, Multicomponent Self-Assembly”<br> <em>J. Am. Chem. Soc.</em> <strong>2020</strong>, <em>142</em>, 7606-7617 Multicomponent supramolecular copolymerization promises to construct complex nanostructures with emergent properties. However, even with two monomeric components, various possible outcomes such as self-sorted supramolecular homopolymers, a random (statistical) supramolecular copolymer, an alternate supramolecular copolymer, or a complex supramolecular block copolymer can occur, determined by their intermolecular interactions and monomer exchange dynamics and hence structural prediction is extremely challenging. Herein, we target this challenge and demonstrate unprecedented two-component sequence controlled supramolecular copolymerization by manipulating thermodynamic and kinetic routes in the pathway complexity of selfassembly of the constitutive monomers. Extensive molecular dynamics simulations provided useful mechanistic insights into the monomer exchange rates and free energy of interactions between the monomers that dictate the self-assembly pathway and sequence. The fluorescent nature of core-substituted naphthalene diimide monomers has been further utilized to characterize the three sequences via Structured Illumination Microscopy (SIM).
DOI: 10.5281/zenodo.5763892
title: Research Data supporting "Self-Sorted, Random, and Block Supramolecular Copolymers via Sequence Controlled, Multicomponent Self-Assembly"

description: Raw research data supporting the article: A. Sarkar, R. Sasmal, C. Empereur-mot, D. Bochicchio, S. V. K. Kompella, K. Sharma, S. Dhiman, B. Sundaram*, S. S. Agasti*, <strong>G. M. Pavan</strong>* and S. J. George*<br> “Self-Sorted, Random and Block Supramolecular Co-polymers via Sequence Controlled, Multicomponent Self-Assembly”<br> <em>J. Am. Chem. Soc.</em> <strong>2020</strong>, <em>142</em>, 7606-7617 Multicomponent supramolecular copolymerization promises to construct complex nanostructures with emergent properties. However, even with two monomeric components, various possible outcomes such as self-sorted supramolecular homopolymers, a random (statistical) supramolecular copolymer, an alternate supramolecular copolymer, or a complex supramolecular block copolymer can occur, determined by their intermolecular interactions and monomer exchange dynamics and hence structural prediction is extremely challenging. Herein, we target this challenge and demonstrate unprecedented two-component sequence controlled supramolecular copolymerization by manipulating thermodynamic and kinetic routes in the pathway complexity of selfassembly of the constitutive monomers. Extensive molecular dynamics simulations provided useful mechanistic insights into the monomer exchange rates and free energy of interactions between the monomers that dictate the self-assembly pathway and sequence. The fluorescent nature of core-substituted naphthalene diimide monomers has been further utilized to characterize the three sequences via Structured Illumination Microscopy (SIM).
DOI: 10.5517/ccdc.csd.cc258h65
title: CCDC 2004156: Experimental Crystal Structure Determination

description: Related Article: Bidhan Ghosh, Satabdi Bera, Pintu Ghosh, Rajarshi Samanta|2021|Chem.Commun.|57|13134|doi:10.1039/D1CC04418D
DOI: 10.5517/ccdc.csd.cc26l4yx
title: CCDC 2043239: Experimental Crystal Structure Determination

description: Related Article: Linfeng Hu, Weidi Cao, Kaixuan Wang, Xiaohua Liu, Xiaoming Feng|2021|Chem.Commun.|57|13138|doi:10.1039/D1CC05099K
DOI: 10.5517/ccdc.csd.cc26w3v2
title: CCDC 2051854: Experimental Crystal Structure Determination

description: Related Article: Yiwei Zhang, Fengjing Liu, Chao Jiang, Fawei Tang, Xinping Zhang|2021|J.Mater.Chem.C|9|3470|doi:10.1039/D0TC05983H
DOI: 10.5517/ccdc.csd.cc2894lb
title: CCDC 2094161: Experimental Crystal Structure Determination

description: Related Article: Qi Mou, Ruyuan Zhao, Ruihan Niu, Seiya Fukagawa, Taiki Shigeno, Tatsuhiko Yoshino, Shigeki Matsunaga, Bo Sun|2021|Org.Chem.Front.|8|6923|doi:10.1039/D1QO01344K
DOI: 10.5517/ccdc.csd.cc289v0g
title: CCDC 2094825: Experimental Crystal Structure Determination

description: Related Article: Jocelyn Sinclair, William Medroa del Pino, Kwami Aku-Dominguez, Yohei Minami, Anagha Kiran, Michael J. Ferguson, Makoto Yasuda, Eric Rivard|2021|Dalton Trans.|50|17688|doi:10.1039/D1DT02850B
DOI: 10.5517/ccdc.csd.cc289v1h
title: CCDC 2094826: Experimental Crystal Structure Determination

description: Related Article: Jocelyn Sinclair, William Medroa del Pino, Kwami Aku-Dominguez, Yohei Minami, Anagha Kiran, Michael J. Ferguson, Makoto Yasuda, Eric Rivard|2021|Dalton Trans.|50|17688|doi:10.1039/D1DT02850B
DOI: 10.12751/g-node.ttyt3c
title: Long-term in vivo application of a potassium channel-based optogenetic silencer in the healthy and epileptic mouse hippocampus

description: Here we provide the electrophysiological datasets and Python scripts, which underlie the conclusions in our paper about application of the novel potassium channel-based optogenetic silencer, PACK, in vivo (Kleis et al., 2021, preprint in BioRxiv and submitted publication in BMC Biology). We recorded the local field potentials (LFPs, resampled at 500 Hz, uploaded in .h5 format) with wire electrodes, which were chronically implanted into the hippocampus of freely behaving healthy or non-epileptic adult male mice. The six experimental groups are named in LFP_nomenclature_and_datasets.xlsx with further details in the published article. The Python scripts contain functions for calculating and plotting line length, power spectral density, and spectrograms.
description: IsSupplementTo: Kleis, P., Paschen, E., Haeussler, U., Sierra, Y.A.B. and Haas, C.A., 2021. In vivo characterization and application of a novel potassium channel-based optogenetic silencer in the healthy and epileptic mouse hippocampus. bioRxiv. (https://doi.org/10.1101/2021.09.06.459077)