cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14730690
title: Capture-mark-recapture data on the strictly protected Speleomantes italicus

description: The dataset collects ecological and morphological information on <i>Speleomantes i</i><i>talicus</i> from both epigean and subterranean environments. The dataset contains information on: snout-vent length, total length, weight and stomach contents of each captured salamander. Salamanders' identity was coded to identify recapture individuals; individuals recognition was performed observing their dorsal pattern and using Visual Implant Elastomers.<br>The dataset includes: ID (the salamander’s database code), Site (“Cave” or “Forest”), Latitude and longitude (low resolution coordinates of the site), Population (the population code), Region and Province (the relevant information for each site), Month and Year (the period in which the salamander was captured), Season (Winter, Spring, Summer, Autumn), Species (the species to which the individual belongs), ID_sampling_period (the ID of sampling primary periods), Tag (the unique code identifying each individual), Sex (male (M), female (F), juvenile (J)), Eggs (indicates whether eggs where visible from the salamander’s belly (yes/no)), SVL (estimated snout-vent length (mm)), TL (estimated total length (mm)),Weight (indicates the salamander’s weight (g)), Condition (indicates if stomach was empty (1) or not (0)), Not_identifiable (Indicates whether stomach contents were identifiable (0) or not (1) at the order level), Prey typology (for each prey typology the total number of recognized items is reported). NA means not available information.<br>
DOI: 10.6084/m9.figshare.14730690.v1
title: Capture-mark-recapture data on the strictly protected Speleomantes italicus

description: The dataset collects ecological and morphological information on <i>Speleomantes i</i><i>talicus</i> from both epigean and subterranean environments. The dataset contains information on: snout-vent length, total length, weight and stomach contents of each captured salamander. Salamanders' identity was coded to identify recapture individuals; individuals recognition was performed observing their dorsal pattern and using Visual Implant Elastomers.<br>The dataset includes: ID (the salamander’s database code), Site (“Cave” or “Forest”), Latitude and longitude (low resolution coordinates of the site), Population (the population code), Region and Province (the relevant information for each site), Month and Year (the period in which the salamander was captured), Season (Winter, Spring, Summer, Autumn), Species (the species to which the individual belongs), ID_sampling_period (the ID of sampling primary periods), Tag (the unique code identifying each individual), Sex (male (M), female (F), juvenile (J)), Eggs (indicates whether eggs where visible from the salamander’s belly (yes/no)), SVL (estimated snout-vent length (mm)), TL (estimated total length (mm)),Weight (indicates the salamander’s weight (g)), Condition (indicates if stomach was empty (1) or not (0)), Not_identifiable (Indicates whether stomach contents were identifiable (0) or not (1) at the order level), Prey typology (for each prey typology the total number of recognized items is reported). NA means not available information.<br>
DOI: 10.5291/ill-data.7-03-206
title: Hydride-ion jump-diffusion dynamics in the oxyhydride BaTiO2.9H0.1
DOI: 10.5281/zenodo.5751887
title: Crosswalks IUCLID 6.6 EU PPP Microorganisms - active substance application (product) to KMA&KMP

description: This Excel file provides detailed crosswalks from the EU Table of Contents (SANCO/10181/2013) for microbial plant protection product (PPP) dossiers to IUCLID 6.6. It includes two spreadsheets, containing the mappings for active substance (as laid out in Commission Regulation (EU) No 283/2013) and representative product (Commission Regulation (EU) No 284/2013): <strong>EU_PPP_Micro_ActiveSubstance</strong>: mapping between the "KMA" ToC and IUCLID 6.5's working context "EU PPP Microorganisms - active substance information" <strong>EU_PPP_Micro_Product</strong>: mapping between the "KMP" ToC and IUCLID 6.5's working context "EU PPP Microorganisms - active substance application (product)" The spreadsheets map each section of the original EU ToC to: <strong><em>IUCLID section</em></strong>: name of the section in IUCLID where to input the corresponding data/information <em><strong>Endpoint study record</strong></em>: name of the document template used to report individual studies of the section (if exists). These usually correspond to OECD Harmonised Templates (OHT). <em><strong>Endpoint summary</strong></em>: name of the document template used to report the summary information of the studies presented in the section (if exists) <em><strong>Other IUCLID document</strong></em>: name of any other document template in IUCLID used to report information of the section (if exists) <em><strong>OHT</strong>:</em> name/id of the OECD Harmonised Template used for the endpoint study record document (if exists) <em><strong>Additional context</strong></em>: fulI IUCLID paths indicating the section of the respective document where information needs to be provided and/or specific values to be indicated. If more than one path is provided, these are separated by ";". Operators "=" and "!=" are used to indicate values to be used and to be avoided, respectively. When more than one value is possible, "IN" and "NOT IN" operators are used, followed by the exhaustive list of possible values. This nomenclature was defined with the aim of making contents machine-readable. <strong>Version 3 </strong>includes changes in the table of contents of IUCLID6.6.
description: EU; XLSX; data.collection@efsa.europa.eu
DOI: 10.5291/ill-data.7-04-173
title: Methane hydrate formation in hydrophilic and hydrophobic porous model carbons
DOI: 10.5291/ill-data.7-05-538
title: Methane hydrate formation in periodic mesoporous organic silicas
DOI: 10.5291/ill-data.7-05-548
title: Investigating natural methane hydrate from the Black Sea.
DOI: 10.5291/ill-data.9-10-1716
title: Advanced lubricants for CO2 emission reduction: effects of shear on reverse cylindrical/wormlike micelles
DOI: 10.5291/ill-data.9-10-1720
title: Investigating self-organisation in ionic liquid mixtures containing fluorous and aliphatic cations
DOI: 10.5291/ill-data.9-10-1730
title: Mechanisms of (de)stabilization of an electrostatic foam
DOI: 10.5291/ill-data.9-11-2079
title: Kinetics of dye-dendrimer electrostatic self-assembly
DOI: 10.5291/ill-data.9-11-2058
title: Molecular structure of hybrid Triaryl amine/poly vinyl chloride gels
DOI: 10.5291/ill-data.9-11-2077
title: Dynamic Covalent Chemistry: Multi-Responsive Polymer Nanoparticles  Based on Disulfide Bonds
DOI: 10.5291/ill-data.9-12-664
title: Directing surfactant/cyclodextrin inclusion complex assemblies by polyelectrolytes
DOI: 10.5291/ill-data.9-13-939
title: Investigating the molecular basis of inflammatory skin conditions
DOI: 10.5291/ill-data.crg-2878
title: Dynamic signature of hydrogen in piezoelectric fibroin mats
DOI: 10.5291/ill-data.crg-2930
title: Continuation of the study of pressure induced structural transformations in hydride perovskites
DOI: 10.5291/ill-data.crg-2934
title: In situ structural study of the reduction/oxidation of La2CoO4+d
DOI: 10.5291/ill-data.crg-2892
title: Thickness fluctuations in oil swollen lipid double layers
DOI: 10.5291/ill-data.crg-2906
title: Understanding the diffusion of water inside Ge-based imogolite Nanotubes
DOI: 10.5291/ill-data.crg-2795
title: New versatile 3D printed Li-ion cell in situ NPD and electrochemical characterization
DOI: 10.5291/ill-data.crg-2846
title: Study of the inelastic scattering inDyFeO3 at low energy range
DOI: 10.5291/ill-data.dir-260
title: DECAY PATTERN OF THE PYGMY DIPOLE RESONANCE IN 138BA
DOI: 10.5291/ill-data.easy-1066
title: Magnetic order in superconducting Nickelates
DOI: 10.5291/ill-data.easy-881
title: Density of states and EINS of protonated and deuterated GFP in view of an analysis including quantum effects
DOI: 10.5291/ill-data.easy-902
title: Development for biological samples: cryo-cooling of large protein crystals and feasibility test for sample screening at 100K.
DOI: 10.5291/ill-data.easy-903
title: Development for continuous scanning for single crystals of biological samples: test of a slow fly-mode for data collection.
DOI: 10.5291/ill-data.easy-969
title: Magnetic structure of Nd3NbO7
DOI: 10.5291/ill-data.easy-983
title: Magnetic structure of Cr-hyperkagome compound
DOI: 10.5291/ill-data.easy-1019
title: Magnetic structure of paramelaconite Cu4O3
DOI: 10.5291/ill-data.easy-1022
title: INS CHARACTERISATION OF METHANOL LOADED ZSM-5 ZEOLITE
DOI: 10.5291/ill-data.easy-1035
title: Study of low-temperature magnetic structure and negative thermal expansion in 152SmCrTiO5
DOI: 10.5291/ill-data.easy-1036
title: Investigation of the structural and magnetic changes of La0.85Pr0.15Fe12B6
DOI: 10.5291/ill-data.easy-1037
title: Structural evolution of MA3Bi2Br9 (MA: methyl-ammonium) hybrid perovskite with applications in solar cells.
DOI: 10.5291/ill-data.easy-1038
title: Doping induced change of magnetic structure in BaFe2Se3
DOI: 10.5291/ill-data.easy-1040
title: Surfactants, solvotropes, diluents: establishing the nomenclature for solubilizing agents
DOI: 10.5291/ill-data.easy-1041
title: Er2Si2O7 crystal field excitations
DOI: 10.5291/ill-data.easy-1043
title: Structure of Li4CuTeO6 at room temperature
DOI: 10.5291/ill-data.easy-1045
title: Influence of the polymer concentration and ionic strength on the fine structure of coacervates
DOI: 10.5291/ill-data.easy-1048
title: Room temperature Room Pressure Structural characterization of KMgD3
DOI: 10.5291/ill-data.easy-1051
title: Fe/Ga order in Na3Fe5-xGaxO9
DOI: 10.5291/ill-data.easy-1052
title: Can graphite be driven to delaminate osmotically into single platelets?
DOI: 10.5291/ill-data.easy-1055
title: Room temperature Room Pressure Structural characterization of KMgH3
DOI: 10.5291/ill-data.easy-1057
title: Doping induced change of magnetic structure in BaFe2Se3
DOI: 10.5291/ill-data.easy-1063
title: RheoSANS Investigation of Wormlike Micelle Orientation
DOI: 10.5291/ill-data.inter-567
title: rotein relaxation dynamics as affected by protein corona formation on surface functionalized
DOI: 10.5291/ill-data.inter-568
title: Quasielastic Neutron Scattering study of ethylene on a Ag exchanged zeolite
DOI: 10.5291/ill-data.nim-8
title: In-operando charakterisation of Gasbubble evolution and groth on nanostruktured porous elektrode surfaces for alkaline elektrolysis.
DOI: 10.5291/ill-data.nim-7
title: Thermo - Hydric characterization of building joints through Neutrons CT scans
DOI: 10.25721/sm6v-qw45
title: Information sur la vie et la famille de Jean-Louis Lacan
DOI: 10.5291/ill-data.test-3233
title: FANs de la 2FDN - TP NPD
DOI: 10.6084/m9.figshare.16954858
title: Supplementary "Parasitic success and venom composition evolve upon specialization of parasitoid wasps to different host species"

description: Supplementary file (tables and figures) for paper entitled "Parasitic success and venom composition evolve upon specialization of parasitoid wasps to different host species"<br>
DOI: 10.6084/m9.figshare.16954858.v1
title: Supplementary "Parasitic success and venom composition evolve upon specialization of parasitoid wasps to different host species"

description: Supplementary file (tables and figures) for paper entitled "Parasitic success and venom composition evolve upon specialization of parasitoid wasps to different host species"<br>
DOI: 10.6084/m9.figshare.13139090
title: data and script

description: Data and scripts for the paper entitled "Parasitic success and venom composition evolve upon specialization of parasitoid wasps to different host species"<br>
DOI: 10.6084/m9.figshare.13139090.v1
title: data and script

description: Data and scripts for the paper entitled "Parasitic success and venom composition evolve upon specialization of parasitoid wasps to different host species"<br>
DOI: 10.25721/kcch-xb20
title: La Montagnarde
DOI: 10.25721/ar5z-8d84
title: Le rossignol
DOI: 10.6084/m9.figshare.17122006
title: Analysis term co-occurrence from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.6084/m9.figshare.17122006.v1
title: Analysis term co-occurrence from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.6084/m9.figshare.17122009.v1
title: Data stemmed title terms from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.6084/m9.figshare.17122012
title: Analysis term use from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.6084/m9.figshare.17122009
title: Data stemmed title terms from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.
DOI: 10.6084/m9.figshare.17122015
title: Data stemmed title terms commonly used terms countXdocument from Quantifying the dynamics of nearly 100 years of dominance hierarchy research

description: Dominance hierarchies have been studied for almost 100 years. The science of science approach used here provides high-level insight into how the dynamics of dominance hierarchy research have shifted over this long timescale. To summarize these patterns, I extracted publication metadata using a Google Scholar search for the phrase ‘dominance hierarchy’, resulting in over 26 000 publications. I used text mining approaches to assess patterns in three areas: (1) general patterns in publication frequency and rate, (2) dynamics of term usage and (3) term co-occurrence in publications across the history of the field. While the overall number of publications per decade continues to rise, the percent growth rate has fallen in recent years, demonstrating that although there is sustained interest in dominance hierarchies, the field is no longer experiencing the explosive growth it showed in earlier decades. Results from title term co-occurrence networks and community structure show that the different subfields of dominance hierarchy research were most strongly separated early in the field’s history while modern research shows more evidence for cohesion and a lack of distinct term community boundaries. These methods provide a general view of the history of research on dominance hierarchies and can be applied to other fields or search terms to gain broad synthetic insight into patterns of interest, especially in fields with large bodies of literature.This article is part of the theme issue ‘The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies’.