cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5258/soton/d2699
title: Dataset supporting the article: "Insulating travelling-wave electrophoresis"

description: This dataset supports the publication in the journal Physical Review E entitled "Insulating Travelling-Wave Electrophoresis". Published in Physical Review E This is the original data used to create Figure 5 in the above paper. We also include an example of original unprocessed video recording used as the Electronic Supplemental Information supporting the publication, showing the motion of 500 nm carboxylate particles in a 1.5 mS/m KCl electrolyte around the 20 um pillar of the microfluidic channel. Particles are subjected to an AC electric field of 10 kV/m amplitude and a frequency of 21 Hz.
DOI: 10.5281/zenodo.8186351
title: Vang et al. Surface NMR and tTEM data HESS manuscript

description: A dataset supporting a manuscript submitted to Hydrology and Earth System Sciences. <br> <br> Prefix SNMR for surface nuclear magnetic resonance data and a location. The .emo files have all the processed input data and the inversion results stored. Prefix tTEM for towed Transient electromagnetic. Each .xyz files contain all TEM models from the specified survey area.
DOI: 10.5281/zenodo.8186350
title: Vang et al. Surface NMR and tTEM data HESS manuscript

description: A dataset supporting a manuscript submitted to Hydrology and Earth System Sciences. <br> <br> Prefix SNMR for surface nuclear magnetic resonance data and a location. The .emo files have all the processed input data and the inversion results stored. Prefix tTEM for towed Transient electromagnetic. Each .xyz files contain all TEM models from the specified survey area.
DOI: 10.34740/kaggle/dsv/6198445
title: SnakeFace
DOI: 10.34740/kaggle/dsv/6192310
title: SnakeFace
DOI: 10.6084/m9.figshare.23768910
title: NG-31175 Krona_Metagenomes Plastisphere (Lacerda et al. 2023)

description: Metagenome data describing the full diversity of the plastisphere in the northwestern Mediterranean Sea.
DOI: 10.5517/ccdc.csd.cc2fj96h
title: CCDC 2249986: Experimental Crystal Structure Determination

description: Related Article: Fangyuan Kang, Xin Wang, Cailing Chen, Chun-Sing Lee, Yu Han, Qichun Zhang|2023|J.Am.Chem.Soc.|145|15465|doi:10.1021/jacs.3c03938
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: 10.6084/m9.figshare.23769160.v1
title: Supplementary Material from Biosynthesized silver nanoparticles for electrochemical detection of Bromocresol green in river water

description: In this study, silver nanoparticles (AgNPs)-based electrochemical sensor has been reported for assessing bromocresol green (BG) in river water. Firstly, AgNPs were greenly produced using the aqueous extract of <i>Ficus sycomorus</i> leaves. Then, the AgNP-modified glassy carbon (GC) electrode was prepared using the sticking method. AgNPs were characterized using transmission electron microscope (TEM), X-ray diffraction (XRD), square wave voltammetry (SWV) and scanning electron microscope (SEM). TEM and SEM were used for determining the size of AgNPs before and after adsorption, respectively. The results show that there was an increase in AgNP size from 20 to 30 nm. Additionally, XRD was used for characterizing the crystal nature of AgNPs, while SWV exhibited a characteristic oxidation peak of AgNPs at 0.06 V. Moreover, cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were used for characterizing the catalytic effect of AgNPs. BG as a targeted pollutant was detected at AgNPs/GC based on its oxidation through proton and electron transfer. Two peaks corresponding to the monomer and polymer oxidation were detected. The monomer- and polymer-based sensors have revealed a linear range of 2.9 × 10<sup>−5</sup> to 2.1 × 10<sup>−4</sup> mole l and low detection limits (LODs) of 1.5 × 10<sup>−5</sup> and 1.3 × 10<sup>−5</sup> mole l, respectively.
DOI: 10.5522/04/23749197
title: Enhanced clay formation key in sustaining the Middle Eocene Climatic Optimum

description: Supplementary tables S1-S6 for the paper: <br> Krause, A.J., Sluijs, A., van der Ploeg, R., Lenton, T.M. and Pogge von Strandmann, P.A.E. (2023) Enhanced clay formation key in sustaining the Middle Eocene Climatic Optimum, <em>Nature Geoscience</em>, <strong>Vol TBC</strong>, DOI: 10.1038/s41561-023-01234-y <br> Table S1: Tiepoints for the age models for the study sites Table S2: Data for Site 1263 Table S3: Data for Site U1333 Table S4: Data for Site 959 Table S5: CO<sub>2</sub> and pH data from a previously published study with ages updated Table S6: d<sup>18</sup>O data from a previously published study with ages updated
DOI: 10.34740/kaggle/dsv/6198617
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/6198623
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.8186508
title: MIC-MAQ plugin training images

description: *MIC-MAQ plugin training images* We provide images to train segmentation on fluorescence and brightfield images. For fluorescence: - QIBC dataset for nuclei segmentation and quantification (https://zenodo.org/record/8014997). The 3 channels of each field of view are saved in independant files: C1 (protein of interest, spots detection), C2 (EdU for quantification), C3 (nuclei segmentation). - Cyto dataset for nuclei and cell segmentation. The two fields of view are saved in a single LIF file that contains Z stack. For Brightfield: - Yeast dataset for cell segmentation
DOI: 10.5281/zenodo.8186507
title: MIC-MAQ plugin training images

description: *MIC-MAQ plugin training images* We provide images to train segmentation on fluorescence and brightfield images. For fluorescence: - QIBC dataset for nuclei segmentation and quantification (https://zenodo.org/record/8014997). The 3 channels of each field of view are saved in independant files: C1 (protein of interest, spots detection), C2 (EdU for quantification), C3 (nuclei segmentation). - Cyto dataset for nuclei and cell segmentation. The two fields of view are saved in a single LIF file that contains Z stack. For Brightfield: - Yeast dataset for cell segmentation
DOI: 10.5281/zenodo.8186535
title: Stigma: Alcohol and liver cancer Data

description: Data and logfile : Stigma- Alcohol and liver cancer
DOI: 10.5281/zenodo.8186534
title: Stigma: Alcohol and liver cancer Data

description: Data and logfile : Stigma- Alcohol and liver cancer
DOI: 10.5281/zenodo.8186542
title: Datasets for BIo4A Deliverable D2.10 bio4a.eu - 1st Lysimeters Campaign

description: Datasets of biochar, leachate and nitrogen forms from experiments in lysimeters in climatic chambers in controlled conditions with barley in soil amended with biochar, corresponding to deliverable D2.10 of H2020 project BIO4A (www.bio4a.eu).
DOI: 10.5281/zenodo.8186541
title: Datasets for BIo4A Deliverable D2.10 bio4a.eu - 1st Lysimeters Campaign

description: Datasets of biochar, leachate and nitrogen forms from experiments in lysimeters in climatic chambers in controlled conditions with barley in soil amended with biochar, corresponding to deliverable D2.10 of H2020 project BIO4A (www.bio4a.eu).
DOI: 10.5281/zenodo.8186444
title: GeoExposomics.org proof-of-concept catalogue as an Excel workbook

description: Part of the outputs of an International Society for Photogrammetry and Remote Sensing (ISPRS)-funded project entitled ‘geospatial database for exposomics (development of an online portal and metadata catalogue of Earth observation data types, sources and products for human health research in exposomics)’. The project is funded under ISPRS Scientific Initiatives 2023 (SI2023 Awards). P.I.: Prof. Maged N. Kamel Boulos. URL: https://geoexposomics.org/
DOI: 10.5281/zenodo.8186443
title: GeoExposomics.org proof-of-concept catalogue as an Excel workbook

description: Part of the outputs of an International Society for Photogrammetry and Remote Sensing (ISPRS)-funded project entitled ‘geospatial database for exposomics (development of an online portal and metadata catalogue of Earth observation data types, sources and products for human health research in exposomics)’. The project is funded under ISPRS Scientific Initiatives 2023 (SI2023 Awards). P.I.: Prof. Maged N. Kamel Boulos. URL: https://geoexposomics.org/
DOI: 10.13140/rg.2.2.30836.53125
title: Major General Fazal Muqeem Khan's occasionally FALSE AND NONSENSE CLAIMS ABOUT SIKHS OF INDIAN ARMY
DOI: 10.13140/rg.2.2.27481.08808
title: Major General Fazal Muqeem Khan's occasionally FALSE AND NONSENSE CLAIMS ABOUT SIKHS OF INDIAN ARMY
DOI: 10.5281/zenodo.7250503
title: Data and Code for the Manuscript: Aquatic insects balance growth with future supply of algal food resources

description: Some consumers depend on the contemporaneous growth of the resources they feed on. For example, <em>Tanytarsus gracilentus</em> midges feed on algae, and because midge generation time is much longer than that of algae, midges benefit not just from the standing stock but also from the growth of algae. This implies that an intermediate consumption rate maximizes midge somatic growth: low consumption rates constrain midge growth, whereas high consumption rates reduce algae and future food abundance. In an experiment, we manipulated midge presence and initial algal abundance. We found that midges could suppress algal growth, as measured by changes in algal primary production (GPP). We also found a positive relationship between GPP and midge growth. We then fit a consumer-resource model to the experimental data, which showed the expected hump-shaped relationship between midge consumption rates and their somatic growth. In the model, projected midge growth rates were only positively associated with GPP when midge consumption was below the value that optimized midge growth. Therefore, the observed relationship between instantaneous primary production and midge growth seen in the experiment suggests that midges did not overexploit algae. This work highlights the challenges faced by consumers that depend on contemporaneously growing resources.
DOI: 10.5281/zenodo.7829619
title: Applicability of Model Checking for Verifying Spacecraft Operational Designs - Artifact

description: This artifact contains the accompanying experiment data for the submission "Applicability of Model Checking for Verifying Spacecraft Operational Designs".
DOI: 10.5281/zenodo.8047461
title: Applicability of Model Checking for Verifying Spacecraft Operational Designs - Artifact

description: This artifact contains the accompanying experiment data for the submission "Applicability of Model Checking for Verifying Spacecraft Operational Designs".
DOI: 10.5281/zenodo.8186567
title: Applicability of Model Checking for Verifying Spacecraft Operational Designs - Artifact

description: This artifact contains the accompanying experiment data for the submission "Applicability of Model Checking for Verifying Spacecraft Operational Designs".
DOI: 10.5281/zenodo.7829618
title: Applicability of Model Checking for Verifying Spacecraft Operational Designs - Artifact

description: This artifact contains the accompanying experiment data for the submission "Applicability of Model Checking for Verifying Spacecraft Operational Designs".
DOI: 10.5281/zenodo.8186571
title: Datasets for BIo4A Deliverable D2.10 bio4a.eu - 2nd Lysimeters Campaign

description: Datasets of biochar, soil humidity, biomass from experiments in lysimeters in climatic chambers in controlled conditions with barley in soil amended with biochar, corresponding to deliverable D2.10 of H2020 project BIO4A (www.bio4a.eu).
DOI: 10.5281/zenodo.7845666
title: To Preprint or Not to Preprint: Experience and Attitudes of Researchers Worldwide

description: This data set contains the results of a survey about researchers’ experience with and attitudes toward preprinting. The survey respondents are authors of journal articles published in 2021 and 2022 and indexed in the Web of Science database. The questions in the survey are grouped into three sections: experience with preprinting, opinions on preprinting, and demographic questions. The Word document contains the survey form. The Excel spreadsheet contains the raw survey data. Free-text responses are not included in the spreadsheet because they may reveal sensitive information. For more information about this data set, please see the paper "To Preprint or Not to Preprint: Experience and Attitudes of Researchers Worldwide" by Rong Ni and Ludo Waltman. This paper will be published soon.
DOI: 10.5281/zenodo.8186570
title: Datasets for BIo4A Deliverable D2.10 bio4a.eu - 2nd Lysimeters Campaign

description: Datasets of biochar, soil humidity, biomass from experiments in lysimeters in climatic chambers in controlled conditions with barley in soil amended with biochar, corresponding to deliverable D2.10 of H2020 project BIO4A (www.bio4a.eu).
DOI: 10.5281/zenodo.8142734
title: Copernicus Global Land Cover data from 2015-01-01 to 2019-12-31 for Troms and Finnmark (Norway)

description: This dataset contains 100m x 100m maps of cover fraction expressed in % ground cover per pixel for 10 base classes including moss & lichen for years 2015 to 2019. The geographical area of interest corresponds to the Troms and Finnmark counties in Norway. Along with 10.5281/zenodo.8142713 this is to be used as input to forecast vegetation browning in Troms and Finnmark using machine learning.
DOI: 10.5519/qd.mpqsd2dr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2222887 records)
DOI: 10.5281/zenodo.8142733
title: Copernicus Global Land Cover data from 2015-01-01 to 2019-12-31 for Troms and Finnmark (Norway)

description: This dataset contains 100m x 100m maps of cover fraction expressed in % ground cover per pixel for 10 base classes including moss & lichen for years 2015 to 2019. The geographical area of interest corresponds to the Troms and Finnmark counties in Norway. Along with 10.5281/zenodo.8142713 this is to be used as input to forecast vegetation browning in Troms and Finnmark using machine learning.
DOI: 10.6084/m9.figshare.23770473
title: Gender, personality, and affect in wayfinding inclinations

description: 453 adults ( 271 women) aged 19 to 59 years old Information about: - Gender - Age - Affect (Panas Positive affect and Panas Negative Affect) - Personality traits (Big 5 inventory 10 items ) - Wayfinding inclinations: Spatial Anxiety and Attitudes toward Exploration
DOI: 10.5281/zenodo.8185810
title: Festem: Directly selecting differentially expressed genes for single-cell clustering analyses.

description: Datasets related to article "Directly selecting differentially expressed genes for single-cell clustering analyses". Codes are available at https://github.com/XiDsLab/Festem_paper.
DOI: 10.5281/zenodo.8186095
title: Local observability of an augmented battery model

description: This document represents a text file including a code for computing the local observability of an augmented battery model used for an OCV estimation method. This code is designed to be used in the computer algebra system (CAS) software Maxima.
DOI: 10.5281/zenodo.8186094
title: Local observability of an augmented battery model

description: This document represents a text file including a code for computing the local observability of an augmented battery model used for an OCV estimation method. This code is designed to be used in the computer algebra system (CAS) software Maxima.
DOI: 10.5517/ccdc.csd.cc2dy1q4
title: CCDC 2232456: Experimental Crystal Structure Determination

description: Related Article: BALASUBRAHMANYA  K S|2022|CSD Communication|||
description: Related Article: Balasubrahmanya K. Sathyanarayana, Kiran B. Manjappa, Ding-Yah Yang|2023|Org.Biomol.Chem.|21|5964|doi:10.1039/D3OB00917C
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.cc2dy1r5
title: CCDC 2232457: Experimental Crystal Structure Determination

description: Related Article: BALASUBRAHMANYA  K S|2022|CSD Communication|||
description: Related Article: Balasubrahmanya K. Sathyanarayana, Kiran B. Manjappa, Ding-Yah Yang|2023|Org.Biomol.Chem.|21|5964|doi:10.1039/D3OB00917C
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.cc2dy1s6
title: CCDC 2232458: Experimental Crystal Structure Determination

description: Related Article: BALASUBRAHMANYA  K S|2022|CSD Communication|||
description: Related Article: Balasubrahmanya K. Sathyanarayana, Kiran B. Manjappa, Ding-Yah Yang|2023|Org.Biomol.Chem.|21|5964|doi:10.1039/D3OB00917C
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.cc2fdql5
title: CCDC 2246557: Experimental Crystal Structure Determination

description: Related Article: Manas Mondal, Debajyoti Saha, Amit Saha|2023|Org.Biomol.Chem.|21|5924|doi:10.1039/D3OB00712J
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.cc2frn51
title: CCDC 2257053: Experimental Crystal Structure Determination

description: Related Article: Qiusi Shi, Yingyong Ni, Longmei Yang, Lin Kong, Peiyang Gu, Chengyuan Wang, Qichun Zhang, Hongping Zhou, Jiaxiang Yang|2023|J.Mater.Chem.B|11|6859|doi:10.1039/D3TB01034A
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: 10.25387/g3.23705928
title: Supplemental Material for Gutzmann et al., 2023

description: File S1 contains the results of the initial screen for differences in farnesol accumulation. The transcription regulator mutants generated by Homann and colleagues (2009) were screened for differences in farnesol as detected in whole cultures, pellets, and supernatants by the GC-FID assay described by Boone and colleagues (2022). For the initial screen, 198 cultures were screened, consisting of 164 mutants from the X plates and 34 replicate controls for the SN152+ parent for a total of 594 GC-FID runs. For each mutant we also report the mean log2 fold change vs the SN152+ control for each of the four analytes as detected in whole cultures, pellets, and supernatants, as well as the supernatant/pellet ratio for each analyte. A legend tab is provided to describe the columns. <br> File S2 contains the results of the rescreen. For the rescreen, strains were selected because their farnesol values differed from the average values for SN152+ by a log2 fold change of &gt; 1.0. For each of the transcription regulator mutants, both raw data and their means ± SD with n=6, reporting normalized accumulation values for farnesol as detected in whole cultures, pellets, and supernatants. For each mutant we also report the mean log2 fold change vs the SN152+ control for farnesol as detected in whole cultures, pellets, and supernatants, as well as the supernatant/pellet ratio. A legend tab is provided to describe the columns. <br> File S3 contains the results of the farnesol growth curve. Normalized farnesol accummulation and dry weight measurements were recorded at 12, 18, 24, 36, 48, and 80 hours post inocculation in YPD media. Independent time courses were performed for each TR mutant (n=2) and SN152<sup>+ </sup>(n=3). A legend tab is provided to describe the columns.
DOI: 10.25387/g3.23705928.v1
title: Supplemental Material for Gutzmann et al., 2023

description: File S1 contains the results of the initial screen for differences in farnesol accumulation. The transcription regulator mutants generated by Homann and colleagues (2009) were screened for differences in farnesol as detected in whole cultures, pellets, and supernatants by the GC-FID assay described by Boone and colleagues (2022). For the initial screen, 198 cultures were screened, consisting of 164 mutants from the X plates and 34 replicate controls for the SN152+ parent for a total of 594 GC-FID runs. For each mutant we also report the mean log2 fold change vs the SN152+ control for each of the four analytes as detected in whole cultures, pellets, and supernatants, as well as the supernatant/pellet ratio for each analyte. A legend tab is provided to describe the columns. <br> File S2 contains the results of the rescreen. For the rescreen, strains were selected because their farnesol values differed from the average values for SN152+ by a log2 fold change of &gt; 1.0. For each of the transcription regulator mutants, both raw data and their means ± SD with n=6, reporting normalized accumulation values for farnesol as detected in whole cultures, pellets, and supernatants. For each mutant we also report the mean log2 fold change vs the SN152+ control for farnesol as detected in whole cultures, pellets, and supernatants, as well as the supernatant/pellet ratio. A legend tab is provided to describe the columns. <br> File S3 contains the results of the farnesol growth curve. Normalized farnesol accummulation and dry weight measurements were recorded at 12, 18, 24, 36, 48, and 80 hours post inocculation in YPD media. Independent time courses were performed for each TR mutant (n=2) and SN152<sup>+ </sup>(n=3). A legend tab is provided to describe the columns.
DOI: 10.5517/ccdc.csd.cc2frn62
title: CCDC 2257054: Experimental Crystal Structure Determination

description: Related Article: Qiusi Shi, Yingyong Ni, Longmei Yang, Lin Kong, Peiyang Gu, Chengyuan Wang, Qichun Zhang, Hongping Zhou, Jiaxiang Yang|2023|J.Mater.Chem.B|11|6859|doi:10.1039/D3TB01034A
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.cc2frn73
title: CCDC 2257055: Experimental Crystal Structure Determination

description: Related Article: Qiusi Shi, Yingyong Ni, Longmei Yang, Lin Kong, Peiyang Gu, Chengyuan Wang, Qichun Zhang, Hongping Zhou, Jiaxiang Yang|2023|J.Mater.Chem.B|11|6859|doi:10.1039/D3TB01034A
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.