cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/c47xz3nz6m.1
title: Correlation between microbial community succession and flavor substances during fermentation of Yongchuan Douchi

description: The microbial communities and flavor substances of Yongchuan Douchi (YCDC) have yet to be explored, and the lack of such knowledge has been challenging the industrial fermentation process of YCDC, impacting its taste quality. To bridge this gap and better understand the process, this study seeks to employ high-throughput sequencing to analyze the microbial community diversity of YCDC at different fermentation stages. The physicochemical properties, flavor substance compositions, and the relationships between microbial communities and major flavor substances were also explored in order to comprehend the knowledge gap. The results revealed a higher expression of bacterial genera diversity in comparison to fungal genera diversity. Throughout the fermentation process of YCDC, there was a gradual accumulation of free amino acids (Glutamic acid and Asparagine) and organic acids (Citric acid and Succinic acid). Additionally, we identified 29 major flavor substances with lipids, alcohols, aldehydes, and acids contributing significantly to the overall flavor profile. Staphylococcus spp, E. coli Shigella spp, and Puccinia spp were found having positive correlations with 1-octene-3-ol, ethyl isobutyrate, and benzaldehyde respectively, by this means imparting fruity and floral flavors to YCDC. Remarkably, the potential correlation of bacterial genera with flavor substances was observed to be higher than that of fungal genera. These findings add scientific knowledge into the succession of microbial communities in YCDC and serve as a theoretical reference for the screening and quality assessment of flavor bacteria.
DOI: 10.7284/153959
title: Radiometer data collected during research cruise EN689 using a Eppley RAD instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153960
title: Radiometer data collected during research cruise EN689 using a Eppley RAD instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153964
title: Singlebeam Echosounder data collected during research cruise EN689 using a Knudsen 320B/R instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153963
title: Speedlog data collected during research cruise EN689 using a Furuno DS-50 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153966
title: Timeserver data collected during research cruise EN689 using a Spectracom SecureSync instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153961
title: TSG (Thermosalinograph) data collected during research cruise EN689 using a SeaBird SBE-45 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153965
title: TSG (Thermosalinograph) data collected during research cruise EN689 using a SeaBird SBE-21 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5519/qd.h5kcb7dl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (10 records)
DOI: 10.17632/ynj2m6zt6x.1
title: MG1655 Images & Meshes

description: This data was used to train a support vector machine that distinguishes between correct and incorrect cell detections. E. coli MG1655 was grown in five different media ranging from nutrient rich to nutrient poor. The different nutrient conditions yielded cells of different sizes and morphologies in order to train a model that deals well with cells of varying sizes.
DOI: 10.25500/edata.bham.00000976
title: Research data supporting the thesis "A mixed methods study to evaluate student attitudes towards an innovative, longitudinal clinical communication strand within a new MPharm programme"
DOI: 10.6084/m9.figshare.23816481
title: 500 counts in any sample, q &lt; 0.01 on EdgeR (AD group)

description: DE genes with 500 counts under the q value less than 0.01 in comparison of the AD group<br>
DOI: 10.6084/m9.figshare.23816481.v1
title: 500 counts in any sample, q &lt; 0.01 on EdgeR (AD group)

description: DE genes with 500 counts under the q value less than 0.01 in comparison of the AD group<br>
DOI: 10.5517/ccdc.csd.cc2gqstt
title: CCDC 2286027: Experimental Crystal Structure Determination

description: Related Article: min ma|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: 10.21227/e8s6-n922
title: Hand Gesture Data

description: The dataset was generated through the execution of a Python script designed to collect a comprehensive set of data samples from six different sensors for each specific gesture. Upon launching the script, users are prompted to initiate gesture 0, Once ready, users can commence recording, with the program automatically capturing 1000 samples for that particular gesture. Subsequently, the program prompts users to perform gesture 1, and this process repeats until data for all gestures is collected. At the conclusion of the program, a CSV file is generated, containing 10,000 rows and 36 columns, along with an additional target column that designates the corresponding gesture for each row of data. This method ensures a systematic and standardized approach to collecting data, allowing for a comprehensive dataset that encompasses a wide range of gestures and sensor measurements. The resulting CSV file serves as a reliable and valuable resource for further analysis and research in the field.
DOI: 10.3886/e191621
title: Data and Code for "Are developed countries outsourcing pollution?"

description: Describes research posing three questions. (1) Have rich countries improved their own environments by importing goods produced in polluting factories? (2) Has pollution worsened in countries manufacturing those goods for export to rich countries? And (3) have the environmental regulations enacted by rich developed countries caused either of the first two changes?
DOI: 10.6084/m9.figshare.23744610
title: The role of thermal tolerance in determining elevational distributions of four arthropod taxa in mountainranges of southern Asia

description: Physiological thermal tolerances, geographical range limits information at individual level at two trasects.
DOI: 10.6084/m9.figshare.23744610.v2
title: The role of thermal tolerance in determining elevational distributions of four arthropod taxa in mountainranges of southern Asia

description: Physiological thermal tolerances, geographical range limits information at individual level at two trasects.
DOI: 10.6084/m9.figshare.23744610.v1
title: <strong>Table: The role of thermal tolerance in determining elevational distributions of four arthropod taxa in mountainranges of southern Asia</strong>

description: Physiological thermal tolerances, geographical range limits information at individual level at two trasects.
DOI: 10.34740/kaggle/dsv/6231860
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5066/p9v49n3r
title: MODFLOW-2000 and Management-Optimization Models Used to Evaluate Alternative Groundwater-Withdrawal Scenarios on Water Levels in Kingsbury Pond, Upper Charles River Basin, Eastern Massachusetts

description: An existing, three-dimensional, transient groundwater-flow model of the Upper Charles River Basin, eastern Massachusetts, was modified to evaluate alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond. The pond is hydraulically connected to the groundwater-flow system, and water levels in the pond fluctuate in response to recharge to the aquifer from precipitation and wastewater return flows through septic systems, to withdrawals from the aquifer at nearby wells, and to precipitation directly on the pond surface. Concerns about the effects of groundwater withdrawals on water levels in the pond prompted an investigation by the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Department of Environmental Protection to better understand the hydrology of Kingsbury Pond and its response to withdrawals. The goal of the study was to determine if withdrawals from wells in Franklin, Massachusetts, can be modified to simultaneously reduce the effect on water levels in the pond and yet meet the water-supply demands of the Town of Franklin. The model, which uses MODFLOW-2000, simulates flow within the surficial deposits and groundwater interactions with surface water in the basin. The model was modified for the study near Kingsbury Pond to improve representation of the hydrologic system near the pond. A groundwater-management model that links the groundwater-flow model with a mathematical-optimization method (referred to as the response-matrix method) was developed to evaluate the effects of three alternative groundwater-withdrawal scenarios for the Franklin public-water system on water levels in Kingsbury Pond. This USGS data release contains all of the input and output files for the simulations described in the associated model documentation report (Barlow and others, 2023). Reference: Barlow, P.M., Friesz, P.J., and Barbaro, J.R., 2023, Evaluation of alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond, Upper Charles River Basin, Eastern Massachusetts: U.S. Geological Survey Scientific Investigations Report 2023-5083, 36 p., https://doi.org/10.3133/sir20235083
DOI: 10.5281/zenodo.8205747
title: Trainera Rowing Boat

description: Traineras Rowing Boat
DOI: 10.5281/zenodo.8205746
title: Trainera Rowing Boat

description: Traineras Rowing Boat
DOI: 10.6084/m9.figshare.23790609
title: Data and Code from Sustained emission reductions have restrained the ozone pollution over China

description: Data and Code from Sustained emission reductions have restrained the ozone pollution over China
DOI: 10.6084/m9.figshare.23790609.v2
title: Data and Code from Sustained emission reductions have restrained the ozone pollution over China

description: Data and Code from Sustained emission reductions have restrained the ozone pollution over China
DOI: 10.7924/r41v5pp7h
title: Data and scripts from: Short-term fire frequency manipulation alters community and population responses to subsequent fires in a Southeastern pine savanna

description: This dataset contains community cover data, burn date data, environmental data, and leaf trait data spanning 2008-2018. It focuses on understory plant species in a longleaf pine savanna exposed to regular prescribed burns.
DOI: 10.6084/m9.figshare.23816559
title: Data di-ester

description: GA/PEG composites, which combine the activities of gallic acid and polyethylene glycol « di-gallate of polyethylene glycol », through a rather simple and green esterification process and with progressed properties
DOI: 10.5517/ccdc.csd.cc2bmfbr
title: CCDC 2163624: Experimental Crystal Structure Determination

description: Related Article: Biswarup Dutta, Thierry Guizouarn, Fabrice Pointillart, Kamil Kotrle, Radovan Herchel, Debashis Ray|2023|Dalton Trans.|52|10402|doi:10.1039/D3DT01387A
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.cc2bmfcs
title: CCDC 2163625: Experimental Crystal Structure Determination

description: Related Article: Biswarup Dutta, Thierry Guizouarn, Fabrice Pointillart, Kamil Kotrle, Radovan Herchel, Debashis Ray|2023|Dalton Trans.|52|10402|doi:10.1039/D3DT01387A
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.cc2bmfdt
title: CCDC 2163626: Experimental Crystal Structure Determination

description: Related Article: Biswarup Dutta, Thierry Guizouarn, Fabrice Pointillart, Kamil Kotrle, Radovan Herchel, Debashis Ray|2023|Dalton Trans.|52|10402|doi:10.1039/D3DT01387A
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.cc2bmfgw
title: CCDC 2163628: Experimental Crystal Structure Determination

description: Related Article: Biswarup Dutta, Thierry Guizouarn, Fabrice Pointillart, Kamil Kotrle, Radovan Herchel, Debashis Ray|2023|Dalton Trans.|52|10402|doi:10.1039/D3DT01387A
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.cc2f9755
title: CCDC 2243196: Experimental Crystal Structure Determination

description: Related Article: Masanori Wakizaka, Mirosław Arczyński, Shraddha Gupta, Shinya Takaishi, Masahiro Yamashita|2023|Dalton Trans.|52|10294|doi:10.1039/D3DT01840G
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: 10.5519/qd.aw2s9n66
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (304 records)
DOI: 10.6084/m9.figshare.23815533
title: Transcriptome data of <i>Enkianthus serrulatus</i>

description: Transcriptome sequencing was performed on the Illumina NextSeq 500 platform (Illumina, San Diego, CA, USA) at Personal Biotechnology (Shanghai, China). Low-copy nuclear genes (23, 28, 61, 64, 72, 78, 80 and 93) were developed from transcriptome sequences of <i>E. serrulatus </i>in our research.
DOI: 10.48320/74f76b12-9005-41a0-882d-e4d80105e121
title: How Russians perceive Russia's invasion of Ukraine, 2022
DOI: 10.5281/zenodo.7247976
title: InTheMED WP3 Data Archive - Climate Projections in the Case Studies -

description: The data archive InTheMED_WP3_DS_ClimateData is part of Task 3.3 “Downscaling of future climate projections at the case-study scale and their transfer to the Partners” and contains the climate projections at the five pilot sites under two emission scenarios (RCP4.5 and RCP8.5).
description: This project is part of the PRIMA Programme supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 1923.
DOI: 10.5281/zenodo.7247977
title: InTheMED WP3 Data Archive - Climate Projections in the Case Studies -

description: The data archive InTheMED_WP3_DS_ClimateData is part of Task 3.3 “Downscaling of future climate projections at the case-study scale and their transfer to the Partners” and contains the climate projections at the five pilot sites under two emission scenarios (RCP4.5 and RCP8.5).
description: This project is part of the PRIMA Programme supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 1923.
DOI: 10.5281/zenodo.8205766
title: InTheMED WP3 Data Archive - Climate Projections in the Case Studies -

description: The data archive InTheMED_WP3_DS_ClimateData is part of Task 3.3 “Downscaling of future climate projections at the case-study scale and their transfer to the Partners” and contains the climate projections at the five pilot sites under two emission scenarios (RCP4.5 and RCP8.5).
description: This project is part of the PRIMA Programme supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 1923.
DOI: 10.5281/zenodo.8205771
title: SCALABLE - Social-ecological pathways and gender perspectives for future conservation of biocultural mountain agro-ecosystems - Deliverable 2.1: Spatially explicit database on biocultural practices and their associated ecosystem services

description: This dataset contains the results from participatory mapping workshops with local communities in the municipality of Abrucena, in Almería, Spain. Participatory workshops were carried out divided by gender in different days. In addition, within each workshop, participants were dividing in two different groups. Participants were asked to: a) map past biocultural diversity elements in the region (i.e., practices, knowledge, and traditions); and b) map current biocultural diversity elements (i.e., practices, knowledge and traditions) in the region. In this upload you can find 4 files (shapefiles format): 1- Spatial database of past (1950) biocultural diversity elements mapped by women: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions. 2- Spatial database of current (2022) biocultural diversity elements mapped by women: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions. 3- Spatial database of past (1950) biocultural diversity elements mapped by men: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions. 4- Spatial database of current (2022) biocultural diversity elements mapped by men: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions.
description: "This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101031168".
DOI: 10.5281/zenodo.8205770
title: SCALABLE - Social-ecological pathways and gender perspectives for future conservation of biocultural mountain agro-ecosystems - Deliverable 2.1: Spatially explicit database on biocultural practices and their associated ecosystem services

description: This dataset contains the results from participatory mapping workshops with local communities in the municipality of Abrucena, in Almería, Spain. Participatory workshops were carried out divided by gender in different days. In addition, within each workshop, participants were dividing in two different groups. Participants were asked to: a) map past biocultural diversity elements in the region (i.e., practices, knowledge, and traditions); and b) map current biocultural diversity elements (i.e., practices, knowledge and traditions) in the region. In this upload you can find 4 files (shapefiles format): 1- Spatial database of past (1950) biocultural diversity elements mapped by women: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions. 2- Spatial database of current (2022) biocultural diversity elements mapped by women: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions. 3- Spatial database of past (1950) biocultural diversity elements mapped by men: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions. 4- Spatial database of current (2022) biocultural diversity elements mapped by men: this file contains the dataset with three different biocultural diversity elements differentiated (TypeBCD): practices, knowledge, traditions.
description: "This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101031168".
DOI: 10.5281/zenodo.8117567
title: Armed conflict avalanches and Voronoi grids for Africa

description: This description outlines the dataset associated with the research paper "Discovering the Mesoscale for Chains of Conflict," published in PNAS Nexus (click here to view the article). Please cite this paper if you use our dataset. The dataset is divided into two main folders: "voronoi_grids": This folder contains 100 realizations of Voronoi tessellations over the African continent. These tessellations were generated during the research process detailed in the aforementioned paper. "avalanches": The "avalanches" folder comprises conflict avalanches derived from each of the realizations of the Voronoi tessellations. These avalanches were generated using the technique described in the research paper. Reading avalanches from the pickle files: The avalanches are stored in pickle files, and the following Python code can be used to read them: <pre><code class="language-python">import dill as pickle # Temporal scale. Choose one of the following values: 2, 4, 8, 16, 32, 64, 128, 256, 512 time = 32 # Spatial scale. Choose one of the following values: 20, 28, 40, 57, 80, 113, 160, 226, 320, 453, 640, 905, 1280 dx = 453 # Voronoi grid index. Choose from 0 to 99 gridix = 3 file_path = f"avalanches/battles/gridix_{gridix}/te/te_ava_{str(time)}_{str(dx)}.p" with open(file_path, "rb") as f: ava = pickle.load(f) ava_event = ava["ava_event"]</code></pre> The extracted avalanches are in "event form," represented as a list of lists, where each element corresponds to the index of an individual conflict event in the ACLED dataset. Each sublist represents an avalanche. The total number of avalanches at the given temporal and spatial scale can be determined by the length of <code>ava_event</code> (<code>len(ava_event)</code>). ACLED Dataset: Due to copyright issues, we are providing a filtered version of the ACLED dataset that we used in our study. To obtain the full version of the ACLED dataset containing all the information regarding each conflict event, please refer to the final bullet point of the manual installation instructions of our python pacakge arcolanche.