cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28xl82
title: CCDC 2112844: Experimental Crystal Structure Determination

description: Related Article: Fabian Scharinger, Ádám Márk Pálvölgyi, Melanie Weisz, Matthias Weil, Christian Stanetty, Michael Schnürch, Katharina Bica-Schröder|2022|Angew.Chem.,Int.Ed.|61|e202202189|doi:10.1002/anie.202202189
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.cc28xl93
title: CCDC 2112845: Experimental Crystal Structure Determination

description: Related Article: Fabian Scharinger, Ádám Márk Pálvölgyi, Melanie Weisz, Matthias Weil, Christian Stanetty, Michael Schnürch, Katharina Bica-Schröder|2022|Angew.Chem.,Int.Ed.|61|e202202189|doi:10.1002/anie.202202189
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.cc29lr8y
title: CCDC 2133180: Experimental Crystal Structure Determination

description: Related Article: Ya-Lin Hu, Tian-Qi Xu, Huai-Yu Cheng, Ying Liu, Xia Zhang, Yu-Bo Zhang, Guang-Xiong Zhou|2022|Phytochemistry|201|113258|doi:10.1016/j.phytochem.2022.113258
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: 10.22008/fk2/xafcrs/ecega2
title: Jordart_25000.dbf

description: :unav
DOI: 10.22008/fk2/xafcrs/pkasml
title: Jordart_25000_kortlægningsår.cpg

description: :unav
DOI: 10.22008/fk2/xafcrs/ozci5m
title: Jordart_25000.shp.xml

description: :unav
DOI: 10.22008/fk2/xafcrs/ma41fn
title: Surface_geology_25000.lyr

description: :unav
DOI: 10.22008/fk2/xafcrs/glog2j
title: Mapping_year.lyr

description: :unav
DOI: 10.22008/fk2/xafcrs/8fe33k
title: Surface_geology_legend.pdf

description: :unav
DOI: 10.22008/fk2/xafcrs/frquu3
title: Surface_geology_25000_v6.mxd

description: :unav
DOI: 10.22008/fk2/xafcrs/tknbi8
title: Jordart_25000.shx

description: :unav
DOI: 10.22008/fk2/xafcrs/t5kxht
title: Jordart_25000_linie.shp.xml

description: :unav
DOI: 10.22008/fk2/xafcrs/5m9sbo
title: Jordart_25000_linie.sbn

description: :unav
DOI: 10.22008/fk2/xafcrs/6snvw9
title: Jordart_25000_kortlægningsår.shx

description: :unav
DOI: 10.22008/fk2/xafcrs/yek0er
title: Jordart_25000_linie.dbf

description: :unav
DOI: 10.22008/fk2/xafcrs/4bimmq
title: Jordart_25000_kortlægningsår.sbx

description: :unav
DOI: 10.22008/fk2/xafcrs/psfnlq
title: Surface_geology_25000_v6.pdf

description: :unav
DOI: 10.22008/fk2/xafcrs/vk6zf1
title: Jordart_25000_kortlægningsår.shp

description: :unav
DOI: 10.22008/fk2/xafcrs/tjlcii
title: Jordart_25000_kortlægningsår.sbn

description: :unav
DOI: 10.22008/fk2/xafcrs/gzmmcw
title: Jordart_25000_kortlægningsår.shp.xml

description: :unav
DOI: 10.22008/fk2/xafcrs/uayr5b
title: Jordart_25000_linie.shp

description: :unav
DOI: 10.22008/fk2/xafcrs/tdqo3i
title: Jordart_25000_kortlægningsår.dbf

description: :unav
DOI: 10.22008/fk2/xafcrs/kxi9gd
title: Jordart_25000.lyr

description: :unav
DOI: 10.22008/fk2/xafcrs/rh8wdv
title: Jordart_25000.sbx

description: :unav
DOI: 10.22008/fk2/xafcrs/inrb1o
title: Jordart_25000.sbn

description: :unav
DOI: 10.22008/fk2/xafcrs/wao8ns
title: Surface_geology_25000_v6.qgz

description: :unav
DOI: 10.22008/fk2/xafcrs/c8ueoa
title: Jordart_25000_linie.prj

description: :unav
DOI: 10.22008/fk2/xafcrs/qj5imp
title: Jordart_25000.shp

description: :unav
DOI: 10.22008/fk2/xafcrs/hh8957
title: Jordart_25000_legende.pdf

description: :unav
DOI: 10.22008/fk2/xafcrs/aqnfyf
title: Jordart_25000_v6.qgz

description: :unav
DOI: 10.22008/fk2/xafcrs/bfa6ap
title: Jordart_25000_linie.CPG

description: :unav
DOI: 10.22008/fk2/xafcrs/iqdryi
title: Jordart_25000_linie.sbx

description: :unav
DOI: 10.22008/fk2/xafcrs/7jyksq
title: Jordart_25000.prj

description: :unav
DOI: 10.22008/fk2/xafcrs/cwblh4
title: Jordart_25000_kortlægningsår.prj

description: :unav
DOI: 10.22008/fk2/xafcrs/jkgnng
title: Jordart_25000_linie.shx

description: :unav
DOI: 10.22008/fk2/xafcrs/jlaaul
title: Jordart_25000_v6.pdf

description: :unav
DOI: 10.22008/fk2/xafcrs/7xfffz
title: Jordart_25000.CPG

description: :unav
DOI: 10.22008/fk2/xafcrs/r5bnsg
title: Surface_geology_25000_lines.lyr

description: :unav
DOI: 10.22008/fk2/xafcrs/l83rux
title: Jordart_25000_v6.sbn

description: :unav
DOI: 10.22008/fk2/xafcrs/4wujpv
title: Jordart_25000_linie.lyr

description: :unav
DOI: 10.22008/fk2/xafcrs/lhlzme
title: Jordart_25000_v6_Metadata.xml

description: :unav
DOI: 10.22008/fk2/xafcrs/cytwlq
title: Kortlægningsår.lyr

description: :unav
DOI: 10.22008/fk2/xafcrs/w1lje9
title: Jordart_25000_v6.mxd

description: :unav
DOI: 10.22008/fk2/xafcrs/ibdsrj
title: Jordart_25000_v6.sbx

description: :unav
DOI: 10.22008/fk2/xafcrs/sobpgt
title: 1_read_me_Sediment_25000_v6_Shape.pdf

description: :unav
DOI: 10.22008/fk2/xafcrs/vmgddf
title: 1_læs_mig_jordart_25000_v6_Shape.pdf

description: :unav
DOI: 10.6084/m9.figshare.20154404.v1
title: Host-tree selection by the ant garden-initiating arboreal ponerine Neoponera goeldii

description: 1. Presentation of the data gathered from 10 x 5 m plots along the road leading to Petit Saut. Every horizontal lines is highlited for readlability; the vertical lines 2. Pesentation of the data gathered from 10 x 5 m plots near Régina over 90 m on Route 2 around kilometric point 118
DOI: 10.5255/ukda-sn-855801
title: Sensory Street, 2021

description: In this collection, we used an online focus group method hosting 7 focus groups to collect qualitative data. Our study included 24 autistic participants (aged 18 - 44, 70% female) with 2 – 4 participants attending each focus group. All participants reported having an autism diagnosis and scored above the cut-off (≥ 6) on the Autism Spectrum Quotient – 10 (AQ-10) (M = 8.71, SD = 1.15, range = 7 – 10). Participants were recruited online via social media channels. Originally 29 participants volunteered to participate, but we excluded 1 prior to taking part for not having an autism diagnosis, and 4 participants did not attend on the day. The results of the content analysis showed that supermarkets, eateries (i.e., restaurants, cafés, pubs), highstreets and city/town centres, public transport, healthcare settings (i.e., doctor’s surgeries and hospitals), and retail shops and shopping centres, are experienced to be commonly disabling sensory environments for autistic adults. Additionally, through reflexive thematic analysis we identified 6 key principles that underlie how disabling or enabling sensory environments are: Sensoryscape (sensory environment), Space, Predictability, Understanding, Adjustments, and Recovery. We represented these principles as a web to emphasise the interconnected, dimensional spectrum of the different themes. Lastly, we used case study analysis to evidence these principles in the commonly disabling sensory environments for richer detail and context and to provide credibility for the principles. Our findings have important implications for businesses, policy, and built environment designers to reduce the sensory impact of public places to make them more enabling for autistic people. By making public spaces more enabling, we may be able to improve quality of life for autistic individuals.
DOI: 10.34740/kaggle/dsv/3869957
title: 2021 World Population (updated daily)
DOI: 10.15129/9f4d022e-dfd8-4d58-a2ec-72c322803598
title: Supplementary material for: ”On the propagation of hydrothermal waves in a fluid layer with two-way coupled dispersed solid particles”

description: The main folder contains all the data used to generate the figure of the article entitled "On the propagation of hydrothermal waves in a fluid layer with two-way coupled dispersed solid particles". The name of each sub-folder represents the number of the figure (as it appears in the final version of the paper) that has been generated with those data. All the “tmdep” files appended with .dat contained in the folders related to Figs. 2, 3, 4 and 5 can be visualized on Matlab or MS Excel All the “video” files appended with .dat contained in the folders related to Figs. 2, 4 and 5 can be visualized on Tecplot or on Matlab. Note: Tecplot or Matlab must be installed. The data in the folder related to Figure 6 can be visualized on Matlab or MS Excel.
DOI: 10.6084/m9.figshare.20154404.v2
title: Host-tree selection by the ant garden-initiating arboreal ponerine Neoponera goeldii

description: Host tree survey counts 1. Presentation of the data gathered from 10 x 5 m plots along the road leading to Petit Saut. Every horizontal lines is highlited for readlability; the vertical lines 2. Pesentation of the data gathered from 10 x 5 m plots near Régina over 90 m on Route 2 around kilometric point 118
DOI: 10.5281/zenodo.6759787
title: Zero dispersion Kerr solitons in optical microresonators

description: Execution tested with Matlab 2020a or newer on Windows. Unzip folder to access files. <br> Contact miles.anderson@epfl.ch for any serious questions on the contents.<br> All matlab code remains under copyright by the authors: Miles Anderson and Tobias J. Kippenberg, and is provided solely to be used to reproduce the figures of the aforementioned paper and example simulation results pertaining to the paper. Figure data and generation code is found in "Figure and Video Data\Scripts and Data". Run matlab scripts in the given folder to generate the figures. Other relevant figures containing data is found in "\Other". Four example matlab simulation scripts are found in "Simulation Example Code". Running 'lle_cavity_v4_SwitchWaveBasic_2g_2' models stable switching wave formation from pulse-driven wave-breaking amidst an adiabatic laser scan of the resonator. 'lle_cavity_v4_SwitchWaveBasic_5g_2' does the same but now with third-order dispersion enabled. The output is used to plot in Figure 2 of the main paper. Running 'lle_cavity_v4_CubicDKS_DispersionRotation7_4b' finds the solution to the LLE for a pulse-contained dissipative structure while the dispersion is cycled through the d2/d3 circle, producing the results shown in Figure 1 of the main paper, as well as Figure S1 in the supplementary information and the video. Running 'lle_SiNcavity_v4_CDSFormation_15b' uses experimental data to reproduce the experiment for the pulse-driven ZDS(4) according to the LLE, the results of which are shown in Figure 5(c,d) of the main paper, and Figure S4 of the supplementary information. The script parameters may be modified to find results under different driving conditions over different time periods as required. M. Anderson apologises in advance for the complexity, readability, and optimisation of the script.
description: This work was supported by Contract No. D18AC00032 (DRINQS) from the Defense Advanced Research Projects Agency (DARPA), and funding from the Swiss National Science Foundation under grant agreements No. 176563 (BRIDGE) and 192293. This material is based upon work supported by the Air Force Office of Scientific Research under Award No. FA9550-19-1-0250.
DOI: 10.6084/m9.figshare.16831489
title: 210616-84_aa_seq_placental_mammals_Muscle_aln.fasta

description: Nomenclature of the sequence name is according to Table S1 in the Article Colson et al.<br>
DOI: 10.6084/m9.figshare.16831489.v2
title: 210616-84_aa_seq_placental_mammals_Muscle_aln.fasta

description: Nomenclature of the sequence name is according to Table S1 in the Article Colson et al.<br>
DOI: 10.5281/zenodo.6759932
title: A real-time feedback system stabilises the regulation of worker reproduction under various colony sizes

description: Based on individual trait expression, an agent-based simulation was used to identify an explicit mechanism for understanding colony size dependent behaviour. This is the code for and data from the agent-based simulation
DOI: 10.6084/m9.figshare.16831489.v1
title: 210616-84_aa_seq_placental_mammals_Muscle_aln.fasta

description: Alignment of 84 SAMD9 sequences from placental mammals for Article Colson et al. <br>Nomenclature of the sequence name is according to Table S1 in the Article Colson et al. <br><br>
DOI: 10.5281/zenodo.6759931
title: A real-time feedback system stabilises the regulation of worker reproduction under various colony sizes

description: Based on individual trait expression, an agent-based simulation was used to identify an explicit mechanism for understanding colony size dependent behaviour. This is the code for and data from the agent-based simulation
DOI: 10.15161/oar.it/76471
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated..
DOI: 10.5281/zenodo.6670343
title: Comparison of methods to identify and monitor mold damages in buildings

description: Molds thrive in indoor environments challenging the stability of building materials and occupants’ health. Diverse sampling and analytical techniques can be applied in microbiology of buildings with specific benefits and drawbacks. We evaluated the use of two methods, microscopy of visible mold growth (tape lifts) and DNA metabarcoding of mold and dust samples (swabs), for mapping mold-damage indicator fungi in buildings in Oslo. Overall, both methods provided consistent results for mold samples, where nearly 80% of the microscopy-identified taxa were confirmed by DNA analysis. <em>Aspergillus </em>was the most abundant genus colonizing all materials, while some taxa were associated with different substrates: <em>Acremonium </em>with gypsum board, <em>Chaetomium</em><em> </em>with chipboard, <em>Stachybotrys </em>with gypsum board and wood, and <em>Trichoderma</em> with wood. Based on DNA data, community composition was clearly different between mold and dust with a much higher alpha diversity in dust. Most genera identified in mold were also detected with a low abundance in dust from the same apartments. Their spatial distribution indicated some local spread from the mold growth to other areas, but there was no clear correlation between relative abundances and the distance to the damages. To study mold damages, different microbiological analyses (microscopy, cultivation, DNA and chemistry) should be combined with a thorough inspection of buildings. The interpretation of such datasets requires the collaboration of skilled mycologists and building consultants.
description: This dataset includes: (i) metadata of study samples, (ii) the quality-filtered fungal rarefied OTU table, and (iii) the taxonomic assignment of the detected OTUs.
DOI: 10.5281/zenodo.6670342
title: Comparison of methods to identify and monitor mold damages in buildings

description: Molds thrive in indoor environments challenging the stability of building materials and occupants’ health. Diverse sampling and analytical techniques can be applied in microbiology of buildings with specific benefits and drawbacks. We evaluated the use of two methods, microscopy of visible mold growth (tape lifts) and DNA metabarcoding of mold and dust samples (swabs), for mapping mold-damage indicator fungi in buildings in Oslo. Overall, both methods provided consistent results for mold samples, where nearly 80% of the microscopy-identified taxa were confirmed by DNA analysis. <em>Aspergillus </em>was the most abundant genus colonizing all materials, while some taxa were associated with different substrates: <em>Acremonium </em>with gypsum board, <em>Chaetomium</em><em> </em>with chipboard, <em>Stachybotrys </em>with gypsum board and wood, and <em>Trichoderma</em> with wood. Based on DNA data, community composition was clearly different between mold and dust with a much higher alpha diversity in dust. Most genera identified in mold were also detected with a low abundance in dust from the same apartments. Their spatial distribution indicated some local spread from the mold growth to other areas, but there was no clear correlation between relative abundances and the distance to the damages. To study mold damages, different microbiological analyses (microscopy, cultivation, DNA and chemistry) should be combined with a thorough inspection of buildings. The interpretation of such datasets requires the collaboration of skilled mycologists and building consultants.
description: This dataset includes: (i) metadata of study samples, (ii) the quality-filtered fungal rarefied OTU table, and (iii) the taxonomic assignment of the detected OTUs.
DOI: 10.5281/zenodo.6759962
title: Spatiotemporal attosecond control of electron pulses via subluminal terahertz waveforms

description: The dataset contains the electron deflectograms and evanescent wave profiles.
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 896148-STMICRO.
DOI: 10.5281/zenodo.6759961
title: Spatiotemporal attosecond control of electron pulses via subluminal terahertz waveforms

description: The dataset contains the electron deflectograms and evanescent wave profiles.
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 896148-STMICRO.
DOI: 10.5281/zenodo.6757611
title: Processd TESS light curves of stars with known ages

description: We present light curves of ~100,000 stars (most within 500 pc) with ages inferred from membership of the nearby moving groups from Untangling The Galaxy series of papers. The light curves are generated from TESS full frame images using Eleanor (Feinstein+19). The nine zip files are split based on the first digit of TIC id, with the nested folders inside corresponding to the first three digits.
DOI: 10.5281/zenodo.6757610
title: Processd TESS light curves of stars with known ages

description: We present light curves of ~100,000 stars (most within 500 pc) with ages inferred from membership of the nearby moving groups from Untangling The Galaxy series of papers. The light curves are generated from TESS full frame images using Eleanor (Feinstein+19). The nine zip files are split based on the first digit of TIC id, with the nested folders inside corresponding to the first three digits.
DOI: 10.5281/zenodo.6760008
title: Git Truck appendix. Survey results

description: The survey results from the Git Truck research projects
DOI: 10.5281/zenodo.6760018
title: Hebomoia glaucippe decontaminated gx

description: .
DOI: 10.5281/zenodo.6760017
title: Hebomoia glaucippe decontaminated gx

description: .
DOI: 10.5281/zenodo.6562818
title: ZINC15 RECAP core fragmentation output

description: <strong>uwashed.zip</strong> --- washed molecules from ZINC15 mapping non-stereochemical SMILES to ZINC IDs. <strong>frags.zip</strong> --- fragmented molecules <strong>ViSAS - Example - Full.knwf </strong>---- a KNIME workflow with an exemplary implementation of ViSAS Consider that the folders were split for uploading. Before using any of our scripts, please join the corresponding folders after downloading. The fragmentation procedure followed conforms to the one published by Naveja et al., 2019: doi: 10.1186/s13321-019-0380-5 Please cite the publication above should you use this data. Alternatively, we expect to publish in short a paper on this dataset.
description: JJN is grateful to the Alexander von Humboldt Foundation for a postdoctoral scholarship and to CONACYT for the National Researchers Program. FI.S-G is thankful to CONACyT for the granted scholarship number 848061. JLM-F thanks the support of DGAPA, UNAM, Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT), Grant, No. IN201321. We acknowledge the contribution of Norberto Sánchez-Cruz to the washing protocol.
description: {"references": ["doi: 10.1186/s13321-019-0380-5"]}
DOI: 10.5281/zenodo.6562817
title: ZINC15 RECAP core fragmentation output

description: <strong>uwashed.zip</strong> --- washed molecules from ZINC15 mapping non-stereochemical SMILES to ZINC IDs. <strong>frags.zip</strong> --- fragmented molecules <strong>ViSAS - Example - Full.knwf </strong>---- a KNIME workflow with an exemplary implementation of ViSAS Consider that the folders were split for uploading. Before using any of our scripts, please join the corresponding folders after downloading. The fragmentation procedure followed conforms to the one published by Naveja et al., 2019: doi: 10.1186/s13321-019-0380-5 Please cite the publication above should you use this data. Alternatively, we expect to publish in short a paper on this dataset.
description: JJN is grateful to the Alexander von Humboldt Foundation for a postdoctoral scholarship and to CONACYT for the National Researchers Program. FI.S-G is thankful to CONACyT for the granted scholarship number 848061. JLM-F thanks the support of DGAPA, UNAM, Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT), Grant, No. IN201321. We acknowledge the contribution of Norberto Sánchez-Cruz to the washing protocol.
description: {"references": ["doi: 10.1186/s13321-019-0380-5"]}
DOI: 10.5066/p9eedpb0
title: CO2 concentrations and microbial biomass data derived from incubation experiments on soils collected at Arches National Park in 2017 and 2018

description: These data were compiled to improve our understanding of how water, carbon (C), nitrogen (N), and phosphorus (P) interact to regulate below ground carbon cycling. Objective(s) of our study were to evaluate how soil heterotrophic carbon cycling responded to inputs of water, C, N, and P individually and interactively on the Colorado Plateau. These data represent soil microbial and CO2 respiration responses to amendments of carbon, nitrogen, phosphorous, and water. Soils were collected at a study site located in Arches National Park in southeastern Utah on 14 August 2017 and again on 17 July 2018 from the upper 10 cm of the soil profile in open spaces among plant canopies after the biological soil crust layer (greater than 1 cm depth) was removed. These data were processed by the U.S. Geological Survey (USGS) and Utah State University in a lab at the USGS-Southwest Biological Science Center, Moab, Utah. These data can be used to assess some carbon pools, fluxes, and responses to resource additions for a dryland ecosystem.
DOI: 10.17638/datacat.liverpool.ac.uk/1736
title: Predicting spinel solid solutions using a random atom substitution method

description: Data of vc-ChemDASH calculations on the Mn-Fe-Zn-O phase field. All calculations used in the paper are under "Paper_Calculations" while various other tests (low energy structure SCF calculations, optical properties) are included for completeness in other subdirectories. ChemDASH runs starting from manganese ferrite and zinc ferrite are conducted both with and without using the random atom substitution method.
DOI: 10.5281/zenodo.6760030
title: Typhlichthys subterraneus MLN 18 decontaminated gx

description: .
DOI: 10.5281/zenodo.6760029
title: Typhlichthys subterraneus MLN 18 decontaminated gx

description: .