cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8263618
title: Data from: Multispecies interactions shape the transition to multicellularity

description: This data was collected during the study entitled "Multispecies interactions shape the transition to multicellularity." We explored how interspecific competition shapes the emergence of multicellularity in an experimental system with two yeast species, <em>Saccharomyces cerevisiae</em> and <em>Kluyveromyces lactis</em>, where multicellularity evolves in response to selection for faster settling ability. The experimental design consisted of a 19-day evolution experiment, where cocultures and monocultures of unicellular <em>S. cerevisiae </em>and <em>K. lactis</em> were propagated daily with and without selection for settling (6 replicates each). Cocultures included initial frequencies of 25%, 50%, and 75% <em>K. lactis</em>. Differential growth rates and selection coefficients during the sweep of multicellular <em>K. lactis</em> were calculated, and species frequencies (%) were visualized. We also completed a 20-day evolution experiment with cocultures of multicellular <em>S. cerevisaie</em> and <em>K. lacti</em>s, with each species beginning as rare, transferred with and without settling (6 replicates each). Differential growth rates during the invasion-from-rare experiment were calculated and visualized. To assess the competitive dynamics of the two species before and after the transition to multicellularity, competition assays were performed, with species’ frequencies determined before and after either 24 hours of growth or 7 minutes of settling when each species began as rare. These assays were repeated for unicellular and multicellular isolates. We also obtained 48-hour growth curves for monocultures and 50% cocultures (10 replicates each) and determined the intrinsic growth rate (r) and carrying capacity (K) for each population. Population densities of each species were also measured before and after 24 hours of growth on each species’ spent media.
DOI: 10.26036/cnp0002047
title: Myxobolus bejeranoi genome

description: Myxobolus bejeranoi, a parasite that infect tilapia gills and cause up to 40% mortality
DOI: 10.5281/zenodo.8263732
title: GEO-Bench: test-dataset

description: <strong>GEO-Bench: test dataset</strong>
DOI: 10.5281/zenodo.8263731
title: GEO-Bench: test-dataset

description: <strong>GEO-Bench: test dataset</strong>
DOI: 10.5066/p9fgyhvs
title: Continuous water quality sensor data from the main channel and a backwater of the Upper Mississippi River from 2015-2018

description: This dataset includes high-frequency sensor data collected during four consecutive summers from buoys deployed at main channel and backwater sites in Pool 8 of the Upper Mississippi River from 2015-2018. It also includes the event-specific concentration-discharge metrics (hysteresis and slope) calculated by combining the water quality sensor data with discharge data from a nearby USGS gage in Winona, MN (05378500). High-frequency sensor data were collected using water quality buoys (PISCES monitoring platforms; EMM350 Water Monitoring Pontoon Platform | ysi.com | ysi.com; Yellow Springs, Ohio) set up with EXO2 Multiparameter Sondes (YSI, Inc, Yellow Springs, Ohio) to monitor hourly or bi-hourly concentrations of chlorophyll-a, phycocyanin (metric of cyanobacteria abundance), fluorescent dissolved organic matter (FDOM; QSU), and turbidity (FNU), and water temperature (Celsius) as well as a SUNA v2 nitrate sensor (Sea-Bird Scientific, Bellevue, Washington) to monitor nitrate concentration.
DOI: 10.5281/zenodo.8263698
title: Towards alternative solutions for flaring : life cycle assessment and carbon substance flow analysis of associated gas conversion into C3 chemicals

description: Supplementary material and used data for the publication.
DOI: 10.5281/zenodo.8263697
title: Towards alternative solutions for flaring : life cycle assessment and carbon substance flow analysis of associated gas conversion into C3 chemicals

description: Supplementary material and used data for the publication.
DOI: 10.5281/zenodo.8263868
title: ibycter_americanus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8263867
title: ibycter_americanus_spades_01.fasta.gz

description: .
DOI: 10.25345/c5jq0t53b
title: MassIVE MSV000092687 - Effect of jasmonic acid (JA) on the metabolome of actinobacteria
title: Actinobacteria are prevalent in the rhizosphere and phyllosphere of diverse plant species where they help to enhance tolerance of plants against biotic and abiotic stresses. Here, we show that the plant hormones jasmonic acid (JA) and methyljasmonate (MeJA) alter growth, development and specialized metabolism of Streptomyces. Exposure of Streptomyces coelicolor to JA or MeJA led to enhanced production of the polyketide antibiotic actinorhodin. JA also exhibited toxicity towards Streptomycetaceae, whereby streptomycetes were more tolerant to JA than members of the genus Streptacidiphilus. This defensive response was associated with amino acid conjugation of JA with glutamine (Gln)-JA as the most prevalent conjugant, while conjugates with Val, Tyr, Phe and Leu/Ile were identified after longer exposure to JA. Synthetic JA conjugates failed to activate antibiotic production and showed significantly reduced toxicity. Thus, our findings shed light on a previously unknown defense mechanism deployed by Streptomyces, with amino acid conjugation protecting against the toxic effects of plant hormones. This study adds to the growing body of evidence that plant hormones can have a significant impact on members of the plant microbiome by affecting their growth, development, and secondary metabolism
DOI: 10.23645/epacomptox.16834519
title: Combining phenotypic profiling and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: Retinoic acid as an example

description: Supplementary Data for "Combining phenotypic profiling and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: Retinoic acid as an example"Science Inventory, CCTE products: https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber=&ombCat=Any&dateBeginPublishedPresented=07/01/2017&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&DEID=&personName=&personID=&role=Any&journalName=&journalID=&publisherName=&publisherID=&sortBy=pubDate&count=25
DOI: 10.5281/zenodo.7573269
title: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset

description: This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry data The TRACERx Nuclear IMC Segmentation dataset, a training dataset of IMC image tiles and ~42,000 expert labelled nuclei from diverse lung, normal and other tissue types.
DOI: 10.5281/zenodo.7650636
title: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset

description: This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry data The TRACERx Nuclear IMC Segmentation dataset, a training dataset of IMC image tiles and ~42,000 expert labelled nuclei from diverse lung, normal and other tissue types.
DOI: 10.5281/zenodo.7665181
title: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset

description: This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry data The TRACERx Nuclear IMC Segmentation dataset, a training dataset of IMC image tiles and ~42,000 expert labelled nuclei from diverse lung, normal and other tissue types.
DOI: 10.5281/zenodo.7573268
title: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset

description: This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry data The TRACERx Nuclear IMC Segmentation dataset, a training dataset of IMC image tiles and ~42,000 expert labelled nuclei from diverse lung, normal and other tissue types.
DOI: 10.5281/zenodo.7973724
title: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset

description: This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry data The TRACERx Nuclear IMC Segmentation dataset, a training dataset of IMC image tiles and ~42,000 expert labelled nuclei from diverse lung, normal and other tissue types.
DOI: 10.5281/zenodo.8252955
title: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset

description: This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry data The TRACERx Nuclear IMC Segmentation dataset, a training dataset of IMC image tiles and ~42,000 expert labelled nuclei from diverse lung, normal and other tissue types.
DOI: 10.5281/zenodo.8263899
title: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset

description: This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry data The TRACERx Nuclear IMC Segmentation dataset, a training dataset of IMC image tiles and ~42,000 expert labelled nuclei from diverse lung, normal and other tissue types.
DOI: 10.5281/zenodo.8263901
title: circaetus_pectoralis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8263900
title: circaetus_pectoralis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8263882
title: Data and processing for "Multitone Microwave Frequency Locking to a Noisy Cavity via Real-Time Feedback"

description: This folder contains all the code and data necessary to produce the figures of the paper titled "Multitone Microwave Frequency Locking to a Noisy Cavity via Real-Time Feedback" written by Jean-Paul van Soest, Clinton A. Potts, Sarwan Peiter, Adrián Sanz Mora and Gary A. Steele.
DOI: 10.5281/zenodo.8263881
title: Data and processing for "Multitone Microwave Frequency Locking to a Noisy Cavity via Real-Time Feedback"

description: This folder contains all the code and data necessary to produce the figures of the paper titled "Multitone Microwave Frequency Locking to a Noisy Cavity via Real-Time Feedback" written by Jean-Paul van Soest, Clinton A. Potts, Sarwan Peiter, Adrián Sanz Mora and Gary A. Steele.
DOI: 10.5281/zenodo.8263207
title: Data for "Two-stage, low noise quantum frequency conversion of single photons from silicon-vacancy centers in diamond to the telecom C-band"

description: The silicon-vacancy center in diamond holds great promise as a qubit for quantum communication networks. However, since the optical transitions are located within the visible red spectral region, quantum frequency conversion to low-loss telecommunication wavelengths becomes a necessity for its use in long-range, fiber-linked networks. This work presents a highly efficient, low-noise quantum frequency conversion device for photons emitted by a silicon-vacancy (SiV) center in diamond to the telecom C-band. By using a two-stage difference-frequency mixing scheme SPDC noise is circumvented and Raman noise is minimized, resulting in a very low noise rate of 10.4(7) photons per second as well as an overall device efficiency of 35.6 %. By converting single photons from SiV centers we demonstrate the preservation of photon statistics upon conversion.
description: We acknowledge support by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) through projects HiFi (13N15926) and QR.X (16KISQ001K).
DOI: 10.5281/zenodo.8263206
title: Data for "Two-stage, low noise quantum frequency conversion of single photons from silicon-vacancy centers in diamond to the telecom C-band"

description: The silicon-vacancy center in diamond holds great promise as a qubit for quantum communication networks. However, since the optical transitions are located within the visible red spectral region, quantum frequency conversion to low-loss telecommunication wavelengths becomes a necessity for its use in long-range, fiber-linked networks. This work presents a highly efficient, low-noise quantum frequency conversion device for photons emitted by a silicon-vacancy (SiV) center in diamond to the telecom C-band. By using a two-stage difference-frequency mixing scheme SPDC noise is circumvented and Raman noise is minimized, resulting in a very low noise rate of 10.4(7) photons per second as well as an overall device efficiency of 35.6 %. By converting single photons from SiV centers we demonstrate the preservation of photon statistics upon conversion.
description: We acknowledge support by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) through projects HiFi (13N15926) and QR.X (16KISQ001K).
DOI: 10.57830/2299223
title: Lichens and Visitor Use Inventory at Lava Bed National Monument - Open Format Dataset

description: Lichen communities associated with cave entrances in the Monument include disjunct species that are associated with the moderated microclimate provided by caves; many of these species do not occur in the surrounding landscape. Despite the unique natural value of these communities, the impacts of visitor use on the lichens associated with the caves at the Monument are not fully known. The purpose of this study is to explore the effects of visitor use of caves and other ecological drivers on lichen communities at the Monument and provide managers with insight into this unique vegetation component.
DOI: 10.5281/zenodo.8263907
title: amazona_guildingii_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8263906
title: amazona_guildingii_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8225274
title: Supplementary Materials for "Challenges in the detection and attribution of Northern Hemisphere surface temperature trends since 1850"

description: <strong>Supplementary Materials for</strong>: R. Connolly, W. Soon, M. Connolly, S. Baliunas, J. Berglund, C.J. Butler, R.G. Cionco, A.G. Elias, V. Fedorov, H. Harde, G.W. Henry, D.V. Hoyt, O. Humlum, D.R. Legates, N. Scafetta, J.-E. Solheim, L. Szarka, V.M. Velasco Herrera, H. Yan and W.J. Zhang (<strong>2023</strong>). "Challenges in the detection and attribution of Northern Hemisphere surface temperature trends since 1850". <em>Research in Astronomy and Astrophysics</em>. https://doi.org/10.1088/1674-4527/acf18e <strong>Description:</strong> A dataset for the detection and attribution of Northern Hemisphere surface temperature trends since 1850. Contents of dataset Tab Description NH temperatures 5 different Northern Hemisphere (NH) annual surface temperature (ST) estimates in temperature anomalies (°C) relative to 1901-2000 averages. TSI 1850-2018 27 different Total Solar Irradiance (TSI) reconstructions. At 1 Astronomical Unit (W/m2) relative to 1901-2000 average. IPCC AR6 forcings IPCC AR6 radiative forcings (RF) time series (for the 1850-2018 period) in units of W/m2 Fitting statistics Fitting statistics and results from all fits Key results Summary statistics and results Fits - Rural-only Multi-linear regression fitting results for Rural-only ST Fits - Urban & rural Multi-linear regression fitting results for Urban & rural ST Fits - SST Multi-linear regression fitting results for Sea surface temperature (SST) Fits - Tree-rings Multi-linear regression fitting results for tree-ring proxy based ST Fits - Glaciers Multi-linear regression fitting results for glacier-length proxy based ST Model - Rural-only Breakdown of model components for fits to Rural-only ST Model - Urban & rural Breakdown of model components for fits to urban & rural ST Model - SST Breakdown of model components for fits to SST Model - Tree-rings Breakdown of model components for fits to tree-ring proxy-based ST Model - Glaciers Breakdown of model components for fits to glacier-length proxy-based ST
DOI: 10.5281/zenodo.8225275
title: Supplementary Materials for "Challenges in the detection and attribution of Northern Hemisphere surface temperature trends since 1850"

description: <strong>Supplementary Materials for</strong>: R. Connolly, W. Soon, M. Connolly, S. Baliunas, J. Berglund, C.J. Butler, R.G. Cionco, A.G. Elias, V. Fedorov, H. Harde, G.W. Henry, D.V. Hoyt, O. Humlum, D.R. Legates, N. Scafetta, J.-E. Solheim, L. Szarka, V.M. Velasco Herrera, H. Yan and W.J. Zhang (<strong>2023</strong>). "Challenges in the detection and attribution of Northern Hemisphere surface temperature trends since 1850". <em>Research in Astronomy and Astrophysics</em>. https://doi.org/10.1088/1674-4527/acf18e <strong>Description:</strong> A dataset for the detection and attribution of Northern Hemisphere surface temperature trends since 1850. Contents of dataset Tab Description NH temperatures 5 different Northern Hemisphere (NH) annual surface temperature (ST) estimates in temperature anomalies (°C) relative to 1901-2000 averages. TSI 1850-2018 27 different Total Solar Irradiance (TSI) reconstructions. At 1 Astronomical Unit (W/m2) relative to 1901-2000 average. IPCC AR6 forcings IPCC AR6 radiative forcings (RF) time series (for the 1850-2018 period) in units of W/m2 Fitting statistics Fitting statistics and results from all fits Key results Summary statistics and results Fits - Rural-only Multi-linear regression fitting results for Rural-only ST Fits - Urban & rural Multi-linear regression fitting results for Urban & rural ST Fits - SST Multi-linear regression fitting results for Sea surface temperature (SST) Fits - Tree-rings Multi-linear regression fitting results for tree-ring proxy based ST Fits - Glaciers Multi-linear regression fitting results for glacier-length proxy based ST Model - Rural-only Breakdown of model components for fits to Rural-only ST Model - Urban & rural Breakdown of model components for fits to urban & rural ST Model - SST Breakdown of model components for fits to SST Model - Tree-rings Breakdown of model components for fits to tree-ring proxy-based ST Model - Glaciers Breakdown of model components for fits to glacier-length proxy-based ST
DOI: 10.5066/p9bhitx2
title: All available data for Sergeant et al. 2020, A classification of streamflow patterns across the coastal Gulf of Alaska

description: This .zip file contains four products that will allow users to recreate the analyses and spatial data figures used in Sergeant et al. 2020, A classification of streamflow patterns across the coastal Gulf of Alaska: 1) Autoclass input and output files (provided as folders with multiple simple text files), 2) Classification data (.csv file) for individual watersheds, including Fundamental Daily Streamflow Statistics, landcover variables, and class membership, 3) Esri map package (.mpk file) that will allow users to recreate Figures 3 and 5 using ArcGIS and extract basic watershed-scale data such as watershed ID, drainage area, primary class assignment, and primary class membership probability (for users interested in extracting more information such as secondary class membership and landcover data, Watershed ID in this file can be cross-referenced with Watershed ID in the .csv file above), and 4) R Shiny Application (provided as a folder with app.R file and other supporting files) to create Figure 3 map and extract classification and land cover variables for individual watersheds (this is also viewable at: https://southeastakwatershedcoalition.shinyapps.io/watershed_classification/)
DOI: 10.48366/r606164
title: A Catalog of Transformer Models

description: In the past few years we have seen the meteoric appearance of dozens of models of the Transformer family. This ORKG comparison contrasts models from different families including BERT, GPT, T5, etc. on some salient aspects around their innovation and difference. This comparison is inspired after the paper "Transformer models: an introduction and catalog" by Xavier Amatriain, while seeking to be an extendable list of new contributions in terms of transformer models as they continue to be introduced.
DOI: 10.5281/zenodo.8263903
title: LC-MS/MS analysis of Buxus

description: Lc-MS/MS analysis of the polar extracts of <em>Buxus</em>
DOI: 10.5281/zenodo.8263902
title: LC-MS/MS analysis of Buxus

description: Lc-MS/MS analysis of the polar extracts of <em>Buxus</em>
DOI: 10.5517/ccdc.csd.cc2c8z6v
title: CCDC 2183367: Experimental Crystal Structure Determination

description: Related Article: Yulian Zhang, Shilin Zhang, Huiting Wu, Xue Dong, PeiChen Shi, Hang Qu, Yuqing Chen, Xiao-Yu Cao, Zhong-Qun Tian, Xiaolan Hu, Liulin Yang|2022|J.Am.Chem.Soc.|144|19410|doi:10.1021/jacs.2c07349
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.cc2c1x0c
title: CCDC 2176572: Experimental Crystal Structure Determination

description: Related Article: Qiang Liu, Youjing Gong, Boyu Liu, Shunshun Xiong, Hui-Min Wen, Xiaolin Wang|2022|Chem.Eng.Journal|453|139849|doi:10.1016/j.cej.2022.139849
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.cc2cwfj7
title: CCDC 2201109: Experimental Crystal Structure Determination

description: Related Article: Shuai-Cong Huo, Yao Li, Peng-Fei Ji, De-Xiang Zhang, Ying Yang, Herbert W. Roesky|2023|Dalton Trans.|52|10672|doi:10.1039/D3DT02094K
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.cc2cwfmb
title: CCDC 2201112: Experimental Crystal Structure Determination

description: Related Article: Shuai-Cong Huo, Yao Li, Peng-Fei Ji, De-Xiang Zhang, Ying Yang, Herbert W. Roesky|2023|Dalton Trans.|52|10672|doi:10.1039/D3DT02094K
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.