cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11588/data/shvino/fd9yyg
title: Compound_95.zip
DOI: 10.11588/data/shvino/5kt0xm
title: Compound-Bis-Thio-MS.zip
DOI: 10.11588/data/shvino/da22yl
title: Compound_78.zip
DOI: 10.11588/data/shvino/trseaj
title: Compound_70.zip
DOI: 10.6084/m9.figshare.21673280
title: Untitled Item_test

description: test_dataxxxx
DOI: 10.11588/data/shvino/ewztwh
title: Compound_82.zip
DOI: 10.11588/data/shvino/vwgkzx
title: Compound-DCV-Thio-MS.zip
DOI: 10.6084/m9.figshare.21673280.v1
title: Untitled Item_test

description: test_dataxxxx
DOI: 10.11588/data/shvino/zo2g66
title: Compound_126.zip
DOI: 10.11588/data/shvino/ew359j
title: Compound_8.zip
DOI: 10.11588/data/shvino/qvpfs6
title: Compound_61.zip
DOI: 10.11588/data/shvino/rph3v0
title: Compound_75.zip
DOI: 10.11588/data/shvino/hlvgx9
title: Compound_129.zip
DOI: 10.11588/data/shvino/f6raqq
title: Compound_107.zip
DOI: 10.11588/data/shvino/vqilu5
title: Compound_77.zip
DOI: 10.11588/data/shvino/xh23k6
title: Compound-Aza-MS.zip
DOI: 10.11588/data/shvino/24lnjb
title: Compound_80.zip
DOI: 10.11588/data/shvino/hxgeqy
title: Compound_128_syn.zip
DOI: 10.11588/data/shvino/iiabcc
title: Compound_6.zip
DOI: 10.11588/data/shvino/hk6ov1
title: Compound_123.zip
DOI: 10.11588/data/shvino/1adpn6
title: Compound_57.zip
DOI: 10.11588/data/shvino/sojryo
title: Compound-Anisyl-Thio-MS.zip
DOI: 10.11588/data/shvino/tpz0ul
title: Compound-BPin-Thio-MS.zip
DOI: 10.11588/data/shvino/c8sy7n
title: Compound_128_anti.zip
DOI: 10.6084/m9.figshare.21548601.v9
title: DRAVP:a comprehensive database of antiviral peptides and proteins

description: DRAVP is a comprehensive database of antiviral peptides and proteins. All data were manually collected from published literatures.
DOI: 10.5281/zenodo.6250938
title: FEOTS Argentine Basin Transport Operators (5-day Average)

description: The Fast Equilibration of Ocean Tracers Software (FEOTS; https://github.com/lanl/feots) contains utilities for diagnosing transport operators consistent with the numerical discretizations in the Parallel Ocean Program (POP) and applying them in an offline setting to model passive tracers. Additionally, FEOTS is capable of extracting operator subsets for regional tracer modeling. This data set includes the parent model mesh as well as regional mapping files and 5 years of 5-day averaged operators for modeling tracer advection and diffusion around the Argentine Basin. The associated parent model is the E3SMV0-HiLAT Climate model. The Argentine Basin region is defined as the geographic region bounded by [52.18S,28.06S]×[70.25W,24.90W].
DOI: 10.7295/w9cil41568
title: CIL_41568, Homo sapiens, macrophage
DOI: 10.5281/zenodo.7234665
title: Montreal Protocol's impact on the ozone layer and climate

description: These are the datasets used for the paper: Montreal Protocol's impact on the ozone layer and climate
DOI: 10.7799/1577346
title: Municipal Franchise Agreements and Energy Objectives

description: This data set includes franchise agreement-related information from 3,538 municipalities nationwide including data on franchise length, fees, agreement language, and energy objectives.
DOI: 10.3886/icpsr37254.v1
title: New York City Taxi Trip Data, 2009-2018
title: Version 1

description: This collection consists of taxi trip record data for yellow medallion taxis, street hail livery (SHL) green taxis, and for-hire vehicles (FHV) in New York City between 2009 and 2018. The yellow and green taxi trip records include fields capturing pick-up and drop-off dates/times, pick-up and drop-off locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts. The data were collected and provided to the NYC Taxi and Limousine Commission (TLC) by technology providers authorized under the Taxicab and Livery Passenger Enhancement Programs (TPEP/LPEP). The trip data was not created by the TLC, and TLC makes no representations as to the accuracy of these data. The For-Hire Vehicle ("FHV") trip records include fields capturing the dispatching base license number and the pick-up date, time, and taxi zone location ID. These records were generated from the FHV Trip Record submissions made by bases. Note: The TLC publishes base trip record data as submitted by the bases, and cannot guarantee or confirm their accuracy or completeness. Therefore, this may not represent the total amount of trips dispatched by all TLC-licensed bases. The TLC performs routine reviews of the records and takes enforcement actions when necessary to ensure, to the extent possible, complete and accurate information. These data are publically available from the NYC Taxi and Limousine Commission website.
description: Datasets: DS0: Study-Level Files DS1: Public-Use Data DS2: Restricted-Use Data
description: All taxi trips in New York City from January 2009 to June 2018. Smallest Geographic Unit: latitude and longitude
description: record abstractsRestricted data files in this collection are duplicates of the files that are available for direct download. You should only request access to the restricted files if you already have an arrangement with ICPSR to work with them in our secure environment. Otherwise, you can access the same data through direct download.These data and documentation were all downloaded between December 7 and December 11, 2018. The data are updated regularly to include additional months of data. For the most up-to-date data, please visit the Trip Record Data section of the NYC Taxi and Limousine Commission website.
DOI: 10.5441/002/edbt.2016.27
title: Efficient Computation of Containment and Complementarity in RDF Data Cubes
DOI: 10.6084/m9.figshare.21673283
title: Variations in pollinator-mediated selection on floral traits across flowering time

description: data for <strong>Variations in pollinator-mediated selection on floral traits across flowering time</strong>
DOI: 10.6084/m9.figshare.21673283.v1
title: Variations in pollinator-mediated selection on floral traits across flowering time

description: data for <strong>Variations in pollinator-mediated selection on floral traits across flowering time</strong>
DOI: 10.34740/kaggle/dsv/4658523
title: AutoXGB
DOI: 10.57771/0dzz-cq48
title: Biodiversity Thesaurus
title: Thésaurus Biodiversité
title: BIODIVTHES

description: <p>This bilingual thesaurus organizes the key concepts of biodiversity sciences, in their basic and applied ecological components. It uses polyhierarchy and includes 818 reciprocal associative relationships. The 1654 French and English descriptors (designating 827 concepts) are enriched with a large number of synonyms (1860) and hidden variants (7020) in both languages. Concepts are grouped into 82 collections, by semantic categories, thematic fields and EBV classes (Essential Biodiversity Variables). Definitions are given with their sources. This resource is aligned with the international thesauri AGROVOC, GEMET (GEneral Multilingual Environmental Thesaurus) and EnvThes (Environmental Thesaurus), as well as with the ontology ENVO (Environment Ontology).</p>
description: <p>Ce thésaurus entièrement bilingue organise les concepts clés des sciences de la biodiversité, dans leurs composantes écologiques fondamentales et appliquées. Il utilise la polyhiérarchie et comprend 818 relations associatives réciproques. Les 1654 descripteurs français et anglais (désignant 827 concepts) sont accompagnés d'un grand nombre de synonymes (1860) et de variantes cachées (7020) dans les 2 langues. Les concepts sont regroupés en 82 collections, par catégories sémantiques, domaines thématiques et classes de VEB (variables essentielles de biodiversité). Les définitions sont données avec leurs sources. Cette ressource est alignée sur les thésaurus internationaux AGROVOC, GEMET (GEneral Multilingual Environmental Thesaurus) et EnvThes (Environmental Thesaurus), ainsi que sur l'ontologie ENVO (Environment Ontology).</p>
DOI: 10.15151/esrf-es-970101793
title: Characterization of the early and late dynamics of laser-induced cavitation bubbles in the frame of pulsed laser ablation in liquid applicat

description: Laser-induced cavitation bubbles are centrally important in all applications of pulsed laser ablation in liquid (PLAL), such as laser shock peening (LSP) or nanoparticle synthesis, and a thorough understanding of their dynamics is therefore crucial to improving their effectiveness. Despite the use of various optical imaging techniques in the study of laser-induced cavitation bubbles, it is still challenging to capture high temporal resolution images of the initial stage of bubble formation and final stage of bubble collapse at its minimum size, because these techniques are all affected by multiple scattering that can obscure the inner details. The present work aims to advance the understanding of PLAL by providing a detailed experimental observation of laser-produced cavitation bubbles close to a rigid boundary, through multi-frame MHz XPCI with high temporal and spatial resolution.
DOI: 10.34740/kaggle/dsv/4658330
title: Synthetic Harumanis Mango Images
DOI: 10.6084/m9.figshare.20401029
title: Trees

description: Phylogenetic tree files.
DOI: 10.6084/m9.figshare.20401029.v2
title: Trees

description: Phylogenetic tree files.
DOI: 10.6084/m9.figshare.20401029.v1
title: Tree

description: Phylogenetic tree files.
DOI: 10.5281/zenodo.7398084
title: Annotation of Sox family proteins of the snail Lymnaea stagnalis (Mollusca: Pulmonata) using transcriptomic data

description: This annotation of Sox family proteins of Lymnaea stagnalis snail was performed using transcriptome data from the article: Seppälä, O., Walser, JC., Cereghetti, T. et al. Transcriptome profiling of Lymnaea stagnalis (Gastropoda) for ecoimmunological research. BMC Genomics 22, 144 (2021). https://doi.org/10.1186/s12864-021-07428-1 Sox2, Sox14, Sox10 and Sox5/6 were annotated using tBLASTn searches against transcriptome from the article upper.
DOI: 10.5281/zenodo.7398083
title: Annotation of Sox family proteins of the snail Lymnaea stagnalis (Mollusca: Pulmonata) using transcriptomic data

description: This annotation of Sox family proteins of Lymnaea stagnalis snail was performed using transcriptome data from the article: Seppälä, O., Walser, JC., Cereghetti, T. et al. Transcriptome profiling of Lymnaea stagnalis (Gastropoda) for ecoimmunological research. BMC Genomics 22, 144 (2021). https://doi.org/10.1186/s12864-021-07428-1 Sox2, Sox14, Sox10 and Sox5/6 were annotated using tBLASTn searches against transcriptome from the article upper.
DOI: 10.25375/uct.21378165.v1
title: Moisture absorption rates via capillary suction within packed beds

description: Excel workbooks that house data related to capillary suction experiments on different packed beds using the upward infiltration method. <br> The data is reported in a published article titled: <em>Moisture absorption rates via capillary suction within packed beds – The effect of material and fluid properties with implications for heap leaching operations.</em> <br> <strong>Moisture_Absorption_Workbook_Model_Parameters.xlsx: </strong>Contains the data related to the fitting of the empirical moisture absorption model to the different experimentally obtained moisture absorption curves. Python code was used in the data-fitting process. <br> <strong>Moisture_Absorption_Workbook.xlsx: </strong>Contains the experimental moisture absorption data for different packed beds via capillary suction using the upward infiltration method.
DOI: 10.25375/uct.21378165
title: Moisture absorption rates via capillary suction within packed beds

description: Excel workbooks that house data related to capillary suction experiments on different packed beds using the upward infiltration method. <br> The data is reported in a published article titled: <em>Moisture absorption rates via capillary suction within packed beds – The effect of material and fluid properties with implications for heap leaching operations.</em> <br> <strong>Moisture_Absorption_Workbook_Model_Parameters.xlsx: </strong>Contains the data related to the fitting of the empirical moisture absorption model to the different experimentally obtained moisture absorption curves. Python code was used in the data-fitting process. <br> <strong>Moisture_Absorption_Workbook.xlsx: </strong>Contains the experimental moisture absorption data for different packed beds via capillary suction using the upward infiltration method.
DOI: 10.25375/uct.19733497
title: Moisture absorption rates via capillary suction within packed beds

description: Contains the Python codes that were used to perform a model response and model fitting analysis related to the experimental moisture absorption data obtained from different leaching representative beds via capillary suction. This is reported in the published article: Moisture absorption rates via capillary suction within packed beds – The effect of material and fluid properties with implications for heap leaching operations <br> <strong> Link to paper</strong>: https://www.sciencedirect.com/science/article/pii/S0304386X22001608 <br> <strong>Model_Response_Analysis_Template.py</strong> : Contains the base code used to test the effects of the two parameters in the empirical moisture absorption model. <br> <strong>Model_Fitting_Template.py</strong>: Contains the base code used to fit the empirical moisture absorption model to the moisutre absorption data.
DOI: 10.25375/uct.19733497.v1
title: Moisture absorption rates via capillary suction within packed beds

description: Contains the Python codes that were used to perform a model response and model fitting analysis related to the experimental moisture absorption data obtained from different leaching representative beds via capillary suction. This is reported in the published article: Moisture absorption rates via capillary suction within packed beds – The effect of material and fluid properties with implications for heap leaching operations <br> <strong> Link to paper</strong>: https://www.sciencedirect.com/science/article/pii/S0304386X22001608 <br> <strong>Model_Response_Analysis_Template.py</strong> : Contains the base code used to test the effects of the two parameters in the empirical moisture absorption model. <br> <strong>Model_Fitting_Template.py</strong>: Contains the base code used to fit the empirical moisture absorption model to the moisutre absorption data.
DOI: 10.6084/m9.figshare.20401020
title: Matrices

description: Orthologous matrices for constructing the phylogenetic tree.
DOI: 10.6084/m9.figshare.20401020.v2
title: Matrices

description: Orthologous matrices for constructing the phylogenetic tree.
DOI: 10.6084/m9.figshare.20401020.v1
title: Matrices

description: Orthologous matrices for constructing the phylogenetic tree.
DOI: 10.5281/zenodo.7387074
title: Radiative transfer calculation results for Arctic cirrus

description: Data of the figure content from the radiative transfer calculations in the publication Marsing, Meerkötter et al: Investigating the radiative effect of Arctic cirrus measured in situ during the winter 2015/2016 Preprint DOI: https://doi.org/10.5194/acp-2022-395
DOI: 10.5281/zenodo.7397251
title: Appendix of Empirical Study of Co-Renamed Identifiers

description: This data contains four CSVs: <strong>Rename.csv, Rename_Ignore_Inflection.csv, Relation.csv, Relation_Ignore_Inflection.csv.</strong> <strong>Rename.csv</strong> and <strong>Rename_Ignore_Inflection.csv</strong> contain renamings used in our study. The difference between these CSVs is whether we ignored inflections. Each row represents a renaming. Columns descriptions are below. <strong>repository</strong>: repository name <strong>commit</strong>: commit hash <strong>filepath</strong>: location of the renamed identifier <strong>oldname</strong>: identifier name before the renaming <strong>newname</strong>: identifier name after the renaming <strong>type</strong>: identifier type (Class, Method, Attribute, Parameter, Variable) <strong>operational_chunk</strong>: operational chunks of the renaming <strong>meaningful_rename_set_id</strong>: meaningful rename set IDs (independent for each repository) <strong>Relation.csv</strong> and <strong>Relation_Ignore_Inflection.csv</strong> contain relationships detected in our study. The difference between these CSVs is whether we ignored inflections. Each row represents a relationship between renamed identifier 1 and renamed identifier 2. Columns descriptions are below. <strong>repository</strong>: repository name <strong>meaningful_rename_set_id</strong>: meaningful rename set IDs (independent for each repository) <strong>commit</strong>: commit hash <strong>relation:</strong> type of relationship <strong>file{1,2}</strong>: location of the identifier <strong>oldname{1,2}</strong>: identifier name before the renaming <strong>newname{1,2}</strong>: identifier name after the renaming <strong>type{1,2}</strong>: identifier type (Class, Method, Attribute, Parameter, Variable)
DOI: 10.5281/zenodo.7214226
title: Appendix of Empirical Study of Co-Renamed Identifiers

description: This data contains four CSVs: <strong>Rename.csv, Rename_Ignore_Inflection.csv, Relation.csv, Relation_Ignore_Inflection.csv.</strong> <strong>Rename.csv</strong> and <strong>Rename_Ignore_Inflection.csv</strong> contain renamings used in our study. The difference between these CSVs is whether we ignored inflections. Each row represents a renaming. Columns descriptions are below. <strong>repository</strong>: repository name <strong>commit</strong>: commit hash <strong>filepath</strong>: location of the renamed identifier <strong>oldname</strong>: identifier name before the renaming <strong>newname</strong>: identifier name after the renaming <strong>type</strong>: identifier type (Class, Method, Attribute, Parameter, Variable) <strong>operational_chunk</strong>: operational chunks of the renaming <strong>meaningful_rename_set_id</strong>: meaningful rename set IDs (independent for each repository) <strong>Relation.csv</strong> and <strong>Relation_Ignore_Inflection.csv</strong> contain relationships detected in our study. The difference between these CSVs is whether we ignored inflections. Each row represents a relationship between renamed identifier 1 and renamed identifier 2. Columns descriptions are below. <strong>repository</strong>: repository name <strong>meaningful_rename_set_id</strong>: meaningful rename set IDs (independent for each repository) <strong>commit</strong>: commit hash <strong>relation:</strong> type of relationship <strong>file{1,2}</strong>: location of the identifier <strong>oldname{1,2}</strong>: identifier name before the renaming <strong>newname{1,2}</strong>: identifier name after the renaming <strong>type{1,2}</strong>: identifier type (Class, Method, Attribute, Parameter, Variable)
DOI: 10.5281/zenodo.6348890
title: Emission, AOD, AAOD and DRE constrained by PARASOL/GRASP

description: <strong>Dataset - Emission, AOD, AAOD and DRE constrained by PARASOL/GRASP</strong> 1. Emission of absorbing aerosol species (black carbon - BC, organic carbon - OC and desert dust - DD) constrained by PARASOL/GRASP spectral AOD and AAOD (https://www.grasp-open.com/products/polder-data-release/) (Chen et al., 2018, 2019, 2020). 2. Spectral AOD, AAOD and DRE simulated using GEOS-Chem v11-01 coupled with a radiative transfer mode (RRTMG) (Heald et al., 2014). <em>References:</em> Chen, C., Dubovik, O., Schuster, G.L. <em>et al.</em> Multi-angular polarimetric remote sensing to pinpoint global aerosol absorption and direct radiative forcing. <em>Nat Commun</em> <strong>13</strong>, 7459 (2022). https://doi.org/10.1038/s41467-022-35147-y Chen, C., Dubovik, O., Henze, D. K., Lapyonak, T., Chin, M., Ducos, F., Litvinov, P., Huang, X. and Li, L.: Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm, Atmos. Chem. Phys., 18(16), 12551–12580, doi:10.5194/acp-18-12551-2018, 2018. Chen, C., Dubovik, O., Henze, D. K., Chin, M., Lapyonok, T., Schuster, G. L., Ducos, F., Fuertes, D., Litvinov, P., Li, L., Lopatin, A., Hu, Q. and Torres, B.: Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations, Atmos. Chem. Phys., 19(23), 14585–14606, doi:10.5194/acp-19-14585-2019, 2019. Chen, C., Dubovik, O., Fuertes, D., Litvinov, P., Lapyonok, T., Lopatin, A., Ducos, F., Derimian, Y., Herman, M., Tanré, D., Remer, L., Lyapustin, A., Sayer, A., Levy, R., Hsu, N. C., Descloitres, J., Li, L., Torres, B., Karol, Y., Herrera, M., Herreras, M., Aspetsberger, M., Wanzenboeck, M., Bindreiter, L., Marth, D., Hangler, A. and Federspiel, C.: Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring, Earth Syst. Sci. Data, 12(4), 3573–3620, doi:10.5194/essd-12-3573-2020, 2020. Heald, C. L., Ridley, D. A., Kroll, J. H., Barrett, S. R. H., Cady-Pereira, K. E., Alvarado, M. J. and Holmes, C. D.: Contrasting the direct radiative effect and direct radiative forcing of aerosols, Atmos. Chem. Phys, 14, 5513–5527, doi:10.5194/acp-14-5513-2014, 2014.
DOI: 10.5281/zenodo.6348889
title: Emission, AOD, AAOD and DRE constrained by PARASOL/GRASP

description: <strong>Dataset - Emission, AOD, AAOD and DRE constrained by PARASOL/GRASP</strong> 1. Emission of absorbing aerosol species (black carbon - BC, organic carbon - OC and desert dust - DD) constrained by PARASOL/GRASP spectral AOD and AAOD (https://www.grasp-open.com/products/polder-data-release/) (Chen et al., 2018, 2019, 2020). 2. Spectral AOD, AAOD and DRE simulated using GEOS-Chem v11-01 coupled with a radiative transfer mode (RRTMG) (Heald et al., 2014). <em>References:</em> Chen, C., Dubovik, O., Schuster, G.L. <em>et al.</em> Multi-angular polarimetric remote sensing to pinpoint global aerosol absorption and direct radiative forcing. <em>Nat Commun</em> <strong>13</strong>, 7459 (2022). https://doi.org/10.1038/s41467-022-35147-y Chen, C., Dubovik, O., Henze, D. K., Lapyonak, T., Chin, M., Ducos, F., Litvinov, P., Huang, X. and Li, L.: Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm, Atmos. Chem. Phys., 18(16), 12551–12580, doi:10.5194/acp-18-12551-2018, 2018. Chen, C., Dubovik, O., Henze, D. K., Chin, M., Lapyonok, T., Schuster, G. L., Ducos, F., Fuertes, D., Litvinov, P., Li, L., Lopatin, A., Hu, Q. and Torres, B.: Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations, Atmos. Chem. Phys., 19(23), 14585–14606, doi:10.5194/acp-19-14585-2019, 2019. Chen, C., Dubovik, O., Fuertes, D., Litvinov, P., Lapyonok, T., Lopatin, A., Ducos, F., Derimian, Y., Herman, M., Tanré, D., Remer, L., Lyapustin, A., Sayer, A., Levy, R., Hsu, N. C., Descloitres, J., Li, L., Torres, B., Karol, Y., Herrera, M., Herreras, M., Aspetsberger, M., Wanzenboeck, M., Bindreiter, L., Marth, D., Hangler, A. and Federspiel, C.: Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring, Earth Syst. Sci. Data, 12(4), 3573–3620, doi:10.5194/essd-12-3573-2020, 2020. Heald, C. L., Ridley, D. A., Kroll, J. H., Barrett, S. R. H., Cady-Pereira, K. E., Alvarado, M. J. and Holmes, C. D.: Contrasting the direct radiative effect and direct radiative forcing of aerosols, Atmos. Chem. Phys, 14, 5513–5527, doi:10.5194/acp-14-5513-2014, 2014.
DOI: 10.6084/m9.figshare.21673604
title: tableau reccueil de donnéesvictimofinal.xlsx

description: victimization study: amnesia and sexual assault
DOI: 10.6084/m9.figshare.21673604.v1
title: tableau reccueil de donnéesvictimofinal.xlsx

description: victimization study: amnesia and sexual assault
DOI: 10.7483/opendata.lhcb.2ng7.eqyq
title: LHCb 2011 Beam3500GeV MagDown EW Stream Stripping21r1
DOI: 10.7483/opendata.lhcb.9kpc.g2ci
title: LHCb 2011 Beam3500GeV MagDown LEPTONIC Stream Stripping21r1
DOI: 10.7483/opendata.lhcb.8skd.psl6
title: LHCb 2011 Beam3500GeV MagDown RADIATIVE Stream Stripping21r1
DOI: 10.7483/opendata.lhcb.aecy.w4r5
title: LHCb 2011 Beam3500GeV MagUp EW Stream Stripping21r1
DOI: 10.7483/opendata.lhcb.5dnj.3n8b
title: LHCb 2011 Beam3500GeV MagUp LEPTONIC Stream Stripping21r1