cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23226623.v3
title: Francisella tularensis pangenome

description: Genomes of <i>Francisella tularensis </i>subspecies for pangenome analysis of the species. Genomes included:| Accession | Species | Strain || NC_006570 | Francisella tularensis subsp. tularensis | SCHU_S4 || NC_007880 | Francisella tularensis subsp. holarctica | LVS || NC_009257 | Francisella tularensis subsp. tularensis | WY96-3418 || NC_016933 | Francisella tularensis subsp. tularensis | TIGB03 || CP000915 | Francisella tularensis subsp. mediasiatica | FSC147 || NC_009749 | Francisella tularensis subsp. holarctica | FTNF002_00 |
DOI: 10.5517/ccdc.csd.cc29zn32
title: CCDC 2144614: Experimental Crystal Structure Determination

description: Related Article: Zheng-Hui Hu, Chen Gong, Shu-Qi Sun, Xin-Yu Liu, Ji-Xing Gao|2023|CrystEngComm|25|5304|doi:10.1039/D3CE00706E
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.cc2d16zn
title: CCDC 2205711: Experimental Crystal Structure Determination

description: Related Article: Lijiao Ma, Shaoqing Zhang, Junzhen Ren, Guanlin Wang, Jiayao Li, Zhihao Chen, Huifeng Yao, Jianhui Hou|2022|Angew.Chem.,Int.Ed.|62|e202214088|doi:10.1002/anie.202214088
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.cc2d523s
title: CCDC 2209404: Experimental Crystal Structure Determination

description: Related Article: Xiaohui Liu, Jinlin Zhang, Yuxin Lan, Qi Zheng, Weimin Xuan|2022|Inorg.Chem.Front.|9|6534|doi:10.1039/D2QI02085H
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: 10.34770/c6cn-rq76
title: Noise correlations in the human brain and their impact on pattern classification

description: Multivariate decoding methods, such as multivoxel pattern analysis (MVPA), are highly effective at extracting information from brain imaging data. Yet, the precise nature of the information that MVPA draws upon remains controversial. Most current theories emphasize the enhanced sensitivity imparted by aggregating across voxels that have mixed and weak selectivity. However, beyond the selectivity of individual voxels, neural variability is correlated across voxels, and such noise correlations may contribute importantly to accurate decoding. Indeed, a recent computational theory proposed that noise correlations enhance multivariate decoding from heterogeneous neural populations. Here we extend this theory from the scale of neurons to functional magnetic resonance imaging (fMRI) and show that noise correlations between heterogeneous populations of voxels (i.e., voxels selective for different stimulus variables) contribute to the success of MVPA. Specifically, decoding performance is enhanced when voxels with high vs. low noise correlations (measured during rest or in the background of the task) are selected during classifier training. Conversely, voxels that are strongly selective for one class in a GLM or that receive high classification weights in MVPA tend to exhibit high noise correlations with voxels selective for the other class being discriminated against. Furthermore, we use simulations to show that this is a general property of fMRI data and that selectivity and noise correlations can have distinguishable influences on decoding. Taken together, our findings demonstrate that if there is signal in the data, the resulting above-chance classification accuracy is modulated by the magnitude of noise correlations. fMRI data used to carry out the analyses described in: Vikranth R. Bejjanki, Rava Azeredo da Silveira, Jonathan D. Cohen, & Nicholas B. Turk-Browne, "Noise correlations in the human brain and their impact on pattern classification". Includes data from 17 human participants, acquired with a 3T scanner (Siemens Skyra) using a 16-channel head coil. For each participant, data from two face/scene "localizer" runs, where participants were presented with blocks of face or scene stimuli interleaved with blank periods, and two "rest" runs, where participants passively viewed a central fixation point, is included. Further information is available in the dataset README file.
DOI: 10.3886/e179141
title: Data and code for: Evaluating the Impact of Online Market Integration – Evidence from the EU Portable PC Market (2012-2015)

description: We develop a framework to evaluate the impact of market integration, accounting for spillovers between multiple distribution channels. Our adaptation of the standard random coefficients logit demand model allows for substitution between distribution channels and incorporates consumer arbitrage across countries. We apply our framework to the European portable PC market, where geo-blocking practices that restrict online cross-border trade have recently been banned. The distributional effects from the cross-country price convergence are substantial. Consumers in high income countries gain most, while consumers in medium and low income countries are only marginally better or even worse off. The total consumer and welfare gains from reducing cross-border arbitrage costs are more modest, and mainly due to increased product choice rather than reduced price discrimination.
description: The data collection is panel data of portable PCs (brand, series, model) in multiple EU countries during 2012-215 (monthly)
description: portable computer (brand, series, model). Smallest Geographic Unit: country
DOI: 10.3886/e179141v1
title: Data and code for: Evaluating the Impact of Online Market Integration – Evidence from the EU Portable PC Market (2012-2015)

description: We develop a framework to evaluate the impact of market integration, accounting for spillovers between multiple distribution channels. Our adaptation of the standard random coefficients logit demand model allows for substitution between distribution channels and incorporates consumer arbitrage across countries. We apply our framework to the European portable PC market, where geo-blocking practices that restrict online cross-border trade have recently been banned. The distributional effects from the cross-country price convergence are substantial. Consumers in high income countries gain most, while consumers in medium and low income countries are only marginally better or even worse off. The total consumer and welfare gains from reducing cross-border arbitrage costs are more modest, and mainly due to increased product choice rather than reduced price discrimination.
description: The data collection is panel data of portable PCs (brand, series, model) in multiple EU countries during 2012-215 (monthly)
description: portable computer (brand, series, model). Smallest Geographic Unit: country
DOI: 10.3886/e179101
title: Simulation Code and Data for: Slope-Takers in Anonymous Markets

description: We present a learning-based selection argument for Linear Bayesian Nash equilibrium in a Walrasian auction. Endowments vary stochastically; traders model residual supply as linear, estimate its slope from past trade data, and periodically update these estimates. In the standard setting with quadratic preferences, we show that this learning process converges to the unique LBN. Anonymity and statistical learning therefore support this commonly-used equilibrium selection rule.
DOI: 10.3886/e179101v1
title: Simulation Code and Data for: Slope-Takers in Anonymous Markets

description: We present a learning-based selection argument for Linear Bayesian Nash equilibrium in a Walrasian auction. Endowments vary stochastically; traders model residual supply as linear, estimate its slope from past trade data, and periodically update these estimates. In the standard setting with quadratic preferences, we show that this learning process converges to the unique LBN. Anonymity and statistical learning therefore support this commonly-used equilibrium selection rule.
DOI: 10.3886/e182602
title: Data and Code for: Trade-ins and Transaction Costs in the Market for Used Business Jets

description: Manufacturers of durable goods can encourage consumers facing transaction costs to upgrade by accepting used units as trade-ins. These “buyback schemes” increase demand for new units, but increase the supply of used units if trade-ins are resold. In this paper, I investigate the equilibrium effects of buyback schemes in the market for business jets. I find that buyback increases demand for new units by 37% at fixed prices. However, in equilibrium this increase in sales is diminished by 38% due to substitution away from new jets among first time buyers. Because of this cannibalization, offering buyback is a dominant strategy for only 3 of the 6 major firms, with 3 firms offering buyback as a best response to other firms' policies. I show that equilibrium buyback policies can change under counterfactual market structures: a simulated merger leads to a reduction in consumer welfare, 70% of which is due to a change in buyback policy.
description: Ownership history of all FAA registered business jets.
description: Anonymized.
DOI: 10.3886/e182602v1
title: Data and Code for: Trade-ins and Transaction Costs in the Market for Used Business Jets

description: Manufacturers of durable goods can encourage consumers facing transaction costs to upgrade by accepting used units as trade-ins. These “buyback schemes” increase demand for new units, but increase the supply of used units if trade-ins are resold. In this paper, I investigate the equilibrium effects of buyback schemes in the market for business jets. I find that buyback increases demand for new units by 37% at fixed prices. However, in equilibrium this increase in sales is diminished by 38% due to substitution away from new jets among first time buyers. Because of this cannibalization, offering buyback is a dominant strategy for only 3 of the 6 major firms, with 3 firms offering buyback as a best response to other firms' policies. I show that equilibrium buyback policies can change under counterfactual market structures: a simulated merger leads to a reduction in consumer welfare, 70% of which is due to a change in buyback policy.
description: Ownership history of all FAA registered business jets.
description: Anonymized.
DOI: 10.6084/m9.figshare.20179727
title: FASTQ files

description: Fastq files containing sequences of the V3-V4 hypervariable region of gene 16S rRNA from microbial content of six goat cheeses from Spain. Three samples per cheese were analyzed.
DOI: 10.6084/m9.figshare.20179727.v1
title: FASTQ files

description: Fastq files containing sequences of the V3-V4 hypervariable region of gene 16S rRNA from microbial content of six goat cheeses from Spain. Three samples per cheese were analyzed.
DOI: 10.5281/zenodo.10014876
title: Caracterización del Microbioma Bacteriano del Río Isabela, diciembre 2022
DOI: 10.5281/zenodo.10014875
title: Caracterización del Microbioma Bacteriano del Río Isabela, diciembre 2022
DOI: 10.5281/zenodo.10014989
title: Raw NMR Data for Accelerated Acquisition of Wideline Solid-State NMR Spectra of Spin 3/2 Nuclei by Frequency-Stepped Indirect Detection Experiments

description: Raw NMR data in Bruker Topspin format and SIMPSON simulation files are provided for all main text Figures.
DOI: 10.5281/zenodo.10014990
title: Raw NMR Data for Accelerated Acquisition of Wideline Solid-State NMR Spectra of Spin 3/2 Nuclei by Frequency-Stepped Indirect Detection Experiments

description: Raw NMR data in Bruker Topspin format and SIMPSON simulation files are provided for all main text Figures.
DOI: 10.5517/ccdc.csd.cc248ch9
title: CCDC 1974250: Experimental Crystal Structure Determination

description: Related Article: Dong Yanan|2023|CSD Communication|||
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.cc2gtfg6
title: CCDC 2288558: Experimental Crystal Structure Determination

description: Related Article: Kevin Breitwieser, Fabian Dankert, Annette Grünwald, Paula R. Mayer, Frank W. Heinemann, Dominik Munz|2023|Chem.Commun.|59|12104|doi:10.1039/D3CC03964A
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.cc2gtfh7
title: CCDC 2288559: Experimental Crystal Structure Determination

description: Related Article: Kevin Breitwieser, Fabian Dankert, Annette Grünwald, Paula R. Mayer, Frank W. Heinemann, Dominik Munz|2023|Chem.Commun.|59|12104|doi:10.1039/D3CC03964A
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.cc2gtfj8
title: CCDC 2288560: Experimental Crystal Structure Determination

description: Related Article: Kevin Breitwieser, Fabian Dankert, Annette Grünwald, Paula R. Mayer, Frank W. Heinemann, Dominik Munz|2023|Chem.Commun.|59|12104|doi:10.1039/D3CC03964A
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: 10.5066/p9b97z7f
title: Projected Seafloor Elevation Change and Relative Sea Level Rise along the Florida Reef Tract from Miami to Boca Chica Key 25, 50, 75, and 100 Years from 2016

description: The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes along the Florida Reef Tract (FRT) from Miami to Boca Chica Key, Florida. Changes in seafloor elevation were calculated from the 1930s to 2016 using digitized hydrographic sheet sounding data and light detection and ranging (lidar)-derived digital elevation models (DEMs) acquired by the National Oceanic and Atmospheric Administration (NOAA) in 2016 and 2017. Most of the elevation data from the 2016/2017 time period were collected during 2016, and, as an abbreviated naming convention, this time period was referred to as 2016. An elevation change analysis between the 1930s and 2016 data was performed to quantify and map historical impacts to seafloor elevation and to determine elevation-change statistics for 15 habitat types found within the study area along the FRT. Annual elevation-change rates were calculated for each elevation-change data point. Seafloor elevation-change along the FRT was projected 25, 50, 75 and 100 years from 2016 using these historical annual rates of elevation change. Water depth was projected 25, 50, 75 and 100 years from 2016 using historical rates of annual elevation change plus 2016 local sea level rise data from NOAA. Data were collected under Florida Keys National Marine Sanctuary permit FKNMS-2016-068.
DOI: 10.5519/qd.itlf7ij9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5708514 records)
DOI: 10.34740/kaggle/ds/3870041
title: BIOSCAN-1M Insect Dataset
DOI: 10.5517/ccdc.csd.cc2gfg3h
title: CCDC 2277046: Experimental Crystal Structure Determination

description: Related Article: Peng Cui, Qiang Zhu, Fangfang Zhang, Dongni Liu, Wenshuai Zhu|2023|Chem.Commun.|59|12031|doi:10.1039/D3CC03131D
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.cc2gfg5k
title: CCDC 2277048: Experimental Crystal Structure Determination

description: Related Article: Peng Cui, Qiang Zhu, Fangfang Zhang, Dongni Liu, Wenshuai Zhu|2023|Chem.Commun.|59|12031|doi:10.1039/D3CC03131D
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.cc2gfg6l
title: CCDC 2277049: Experimental Crystal Structure Determination

description: Related Article: Peng Cui, Qiang Zhu, Fangfang Zhang, Dongni Liu, Wenshuai Zhu|2023|Chem.Commun.|59|12031|doi:10.1039/D3CC03131D
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: 10.5281/zenodo.10014951
title: Files for training purposes - Protein structure manipulation training session @BIOI2

description: AlphaFold2 prediction of ORF1 Nter dimer (using ColabFold v1.5)
DOI: 10.5281/zenodo.10014952
title: Files for training purposes - Protein structure manipulation training session @BIOI2

description: AlphaFold2 prediction of ORF1 Nter dimer (using ColabFold v1.5)
DOI: 10.5281/zenodo.10015026
title: Caracterización del Microbioma Bacteriano del Río Isabela, diciembre 2022

description: Tabla con todas las especies identificadas a través de ADN ambiental.
DOI: 10.5281/zenodo.10015027
title: Caracterización del Microbioma Bacteriano del Río Isabela, diciembre 2022

description: Tabla con todas las especies identificadas a través de ADN ambiental.
DOI: 10.5281/zenodo.8373321
title: Data, code, and metadata for: Symbiotic acacia ants drive nesting behavior by birds in an African savanna

description: Data, code, and metadata that can be used to reproduce the analyses underlying 'Symbiotic acacia ants drive nesting behavior by birds in an African savanna' by Lujan, Nielsen et al. 2023 Biotropica (Preprint: https://doi.org/10.1101/2023.03.06.531340).
Individual data owners are detailed in the data. Data may only be used to reproduce the analyses underlying Lujan, Nielsen, et al. (2023). Any other use requires the written permission of the data owners.
For more detailed information, please visit the metadata file.
DOI: 10.5281/zenodo.8373322
title: Data, code, and metadata for: Symbiotic acacia ants drive nesting behavior by birds in an African savanna

description: Data, code, and metadata that can be used to reproduce the analyses underlying 'Symbiotic acacia ants drive nesting behavior by birds in an African savanna' by Lujan, Nielsen et al. 2023 Biotropica (Preprint: https://doi.org/10.1101/2023.03.06.531340).
Individual data owners are detailed in the data. Data may only be used to reproduce the analyses underlying Lujan, Nielsen, et al. (2023). Any other use requires the written permission of the data owners.
For more detailed information, please visit the metadata file.
DOI: 10.5281/zenodo.8429605
title: StrydeTraining at KAUST (26_09_2023)

description: Data acquired during the Stryde training at KAUST on 26/09/2023. It contains:
- ContinuousRecords: continuous recordings for each of the deployed sensors organized in traces of 60secs
- ShotGathers: shot gathers extracted from continuous recordings (10 shots per source location)
- StackedShotGathers: stacked shot gathers
DISCLAIMER: This dataset was acquired by KAUST as part of a training exercise, which did not follow standard/manufacturer recommended operational procedures for source and receiver operations.
DOI: 10.5281/zenodo.8429604
title: StrydeTraining at KAUST (26_09_2023)

description: Data acquired during the Stryde training at KAUST on 26/09/2023. It contains:
- ContinuousRecords: continuous recordings for each of the deployed sensors organized in traces of 60secs
- ShotGathers: shot gathers extracted from continuous recordings (10 shots per source location)
- StackedShotGathers: stacked shot gathers
DISCLAIMER: This dataset was acquired by KAUST as part of a training exercise, which did not follow standard/manufacturer recommended operational procedures for source and receiver operations.
DOI: 10.5519/qd.sa0tjyw5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8681 records)
DOI: 10.25422/azu.data.24185751.v1
title: Data for One hundred and six years of change in a Sonoran Desert plant community: Impact of climate anomalies and trends in species sensitivities

description: This dataset contains 1) climate data for Tumamoc Hill in Tucson Arizona from 1906 to 2013 and 2) demography data for 10,000+ individuals and 46 Sonoran Desert plant species sampled on Tumamoc Hill. Information on sampling sites and collection can be found at https://doi.org/10.1890/12-1164.1<br><i></i><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><br>
DOI: 10.25422/azu.data.24185751
title: Data for One hundred and six years of change in a Sonoran Desert plant community: Impact of climate anomalies and trends in species sensitivities

description: This dataset contains 1) climate data for Tumamoc Hill in Tucson Arizona from 1906 to 2013 and 2) demography data for 10,000+ individuals and 46 Sonoran Desert plant species sampled on Tumamoc Hill. Information on sampling sites and collection can be found at https://doi.org/10.1890/12-1164.1<br><i></i><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><br>