cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14387936
title: Complete Program of the 2024 iPRES Conference

description: ProgramCode


Identifier of the contribution



Title


Title of the contribution



SubmissionDateTime


Timestamp of submission in Indico (some program elements were invited by the organizers)



AcceptedFormat


Format of the submission as accepted by the Program Committee (after review)



PresentationType


Type of presentation at the conference as accepted by the Program Committee (after review)



CompetencyFrameworkBestMatch


Choice of one of the digital preservation competencies as defined in the DPC Competency Framework (intended for audience guidance)



ConferenceTheme


Choice of one of the three conference themes from the Call for Contributions



Abstract_MARKDOWN


Rich text abstract of the contribution (contains markdown and/or HTML markup)



ScispaceParaphrasedAbstract


Short paraphrase in simple English of the abstract, generated with Scispace (intended for audience guidance)



Presenters


List of the people presenting at the conference



Authors


List of the main authors of the contribution



Co-Authors


List of the co-authors of the contribution



PublicationLocation


URL of the published contribution



PosterImageLocation


URL of the PNG image of the conference poster



DOI


DOI of the published contribution as full URI



PresentationDate


Date of the presentation at the conference



PresentationStart


Start time of the presentation at the conference



PresentationDuration


Duration of the presentation at the conference



PresentationMaterials


URL of the materials used for the presentation at the conference



VenueCode


Identifier of the room where the presentation was held during the conference



SessionTitle


Title of the conference session where this contribution was presented



SessionVideoLocation


URL of the video registration of the conference session where this contribution was presented



CollaborativeNotesLocation


URL of the collaborative notes taken by participants at the conference session where this contribution was presented



License


License granted for this contribution
DOI: 10.15468/dl.qnb44z
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fritillaria cirrhosa D.Don"
 ]
}

 The dataset includes 292 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030364-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/ingv.it-dbmi15
title: Database Macrosismico Italiano (DBMI15), versione 1.5
title: Italian Macroseismic Database (DBMI15)
title: DBMI15

description: DBMI15 provides a homogeneous set of macroseismic intensity data collected from several sources, for Italian earthquakes with maximum intensity ≥ 5 in the period 1000-2014. Macroseismic Data Points (MDPs) are collected and organized in DBMI for several scopes. The main goal is to create a homogenous set of data for assessing earthquake parameters (epicentral location and magnitude) for compiling the Parametric Catalogue of Italian Earthquakes (CPTI). The data provided by DBMI are also used for compiling the seismic history of thousands of Italian localities (15213 in DBMI15), in other words the list of effects observed in a place through time as a consequence of earthquakes, expressed as macroseismic intensity degrees.
DOI: 10.6092/ingv.it-dbmi11
title: Database Macrosismico Italiano (DBMI11)
title: Italian Macroseismic Database (DBMI11)
title: DBMI11

description: DBMI11 is the third public version of the Italian Macroseismic Database, which collects the observations that emerged in publications during the period 2006-2010. This version does not contain the results of some methodological developments carried out within the framework of the EC "SHARE" project (Seismic Hazard Harmonization in Europe); furthermore, it still does not use a considerable amount of new information made available by: Molin et al. (2008); Camassi et al. (2011); the 2009 version of ECOS (Faeh et al., 2011) and the 2010 version of SisFrance (SisFrance, 2010). These elements, together with other developments, will be considered for the next version of the database.
description: DBMI11 è la terza versione pubblica del Database Macrosismico Italiano e raccoglie le osservazioni pubblicate nel corso del periodo 2006-2010. Questa versione non contiene i risultati di alcuni sviluppi metodologici realizzati nell'ambito del progetto EC "SHARE" (Seismic Hazard Harmonization in Europe); inoltre, non utilizza ancora un considerevole quantitativo di nuove informazioni reso disponibile da: Molin et al. (2008); Camassi et al. (2011); la versione 2009 di ECOS (Faeh et al., 2011) e la versione 2010 di SisFrance (SisFrance, 2010). Questi elementi, unitamente ad altri sviluppi, verranno considerati per la prossima versione del database.
DOI: 10.17638/datacat.liverpool.ac.uk/2649
title: Enhancement of Low Temperature Superionic Conductivity by Suppression of Li Site Ordering in Li7Si2–xGexS7I

description: Ge4+ substitution into the recently discovered superionic conductor Li7Si2S7I is demonstrated by synthesis of Li7Si2–xGexS7I, where x≤1.2. The anion packing and tetrahedral silicon location of Li7Si2S7I are retained upon substitution. Single crystal X-ray diffraction shows that substitution of larger Ge4+ for Si4+ expands the unit cell volume and further increases Li+ site disorder, such that Li7Si0.88Ge1.12S7I has one Li+ site more (sixteen in total) than Li7Si2S7I. The ionic conductivity of Li7Si0.8Ge1.2S7I (x=1.2) at 303 K is 1.02(3)×10−2 S cm−1 with low activation energies for Li+ transport demonstrated over a wide temperature range by AC impedance and 7Li NMR spectroscopy. All sixteen Li+ sites remain occupied to temperatures as low as 30 K in Li7Si0.88Ge1.12S7I as a result of the structural expansion. This differs from Li7Si2S7I, where the partial Li+ site ordering observed below room temperature reduces the ionic conductivity. The suppression of Li+ site depopulation by Ge4+ substitution retains the high mobility to temperatures as low as 200 K, yielding low temperature performance comparable with state-of-the-art Li+ ion conducting materials.
DOI: 10.15468/dl.y7jmgw
title: Occurrence Download

description: A dataset containing 19721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prosopis juliflora (Sw.) DC."
 ]
}

 The dataset includes 19721 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030366-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/ingv.it-dbmi04
title: Database Macrosismico Italiano (DBMI04)
title: Italian Macroseismic Database (DBMI04)
title: DBMI04

description: The Macroseismic Database of Italy 2004, put together in a critical way for the first time the macroseismic data used for the compilation of the CPTI04 (2004) parametric earthquake catalogue. Data come from varied main datasets: i) DOM4.1 (Monachesi e Stucchi, 1997); ii) CFTI version 2 (Boschi et al., 1997) and, for the time-window 1980-2002, CFTI version 3 (Boschi et al., 2000); iii) Bollettino Macrosismico ING (BMING); iv) Catalogo Macrosismico dei Terremoti Etnei, Azzaro et al. (2000; 2002). In addition, data from recent historical and field investigation were also used. DBMI04 contains 58146 macroseismic observations related to 1041 earthquakes and 14161 localities, 12943 of which in Italy. The input data used for the compilation of DBMI04 were not homogeneous with respect to the use of the intensity scale and, mainly, to geographical reference. One of the main task was the organisation of a reliable geographical reference, based on the previous ENEL-ISTAT catalogue of the Italian localities (ENEL, 1978), which was updated by means of new data. Another task consisted in correcting some mis-takes performed when associating the place-names quoted by the historical sources and the geographical reference. Some problems were solved using ad hoc conventions for dealing with observations not expressed in terms of macroseismic intensity. This paper presents the adopted solutions and the results, together with the web-interface through which the database is made available to the public (http://emidius.mi.ingv.it/DBMI04/).
DOI: 10.5281/zenodo.14392153
title: Supplementary data of the paper: "Patents of Industry 4.0 in Spain: topics and actors" Scire
DOI: 10.5281/zenodo.14392154
title: Supplementary data of the paper: "Patents of Industry 4.0 in Spain: topics and actors" Scire
DOI: 10.15468/dl.vk62ga
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.61127 45.92148,6.61102 45.92148,6.61102 46.44253,5.61127 46.44253,5.61127 45.92148))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlaenius festivus (Panzer, 1796)"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030368-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28009190
title: Migration_onset_scolopacidae

description: Understanding the mechanisms that trigger the onset of migration is of crucial importance given ongoing climate change, particularly as there are possible carry-over effects on population dynamics. The relative contribution of endogenous and external conditions on the decision to start migration is still not well-understood because there are contrasting results in the literature while it is difficult to tell if this is due to species differences or methods, e.g., the timescale considered. Here, we evaluate the effect of individual characteristics, photoperiod and weather conditions on the migration onset of two species, using data from 106 <i>Scolopax rusticola</i> (Eurasian Woodcock) and 87 <i>Gallinago gallinago</i> (Common Snipe) fitted with transmitters. We considered two different timescales. We found that weather conditions are diving Woodcock movements, but no weather conditions correlate with migration onset of Snipe. We discuss main hypotheses which could explain intriguing difference between these two species of Scolopacidae and suggest that the molt schedule of Snipe may result in a trade-off between choosing the best environmental conditions to molt and the best conditions to migrate.
DOI: 10.6084/m9.figshare.28009190.v1
title: Migration_onset_scolopacidae

description: Understanding the mechanisms that trigger the onset of migration is of crucial importance given ongoing climate change, particularly as there are possible carry-over effects on population dynamics. The relative contribution of endogenous and external conditions on the decision to start migration is still not well-understood because there are contrasting results in the literature while it is difficult to tell if this is due to species differences or methods, e.g., the timescale considered. Here, we evaluate the effect of individual characteristics, photoperiod and weather conditions on the migration onset of two species, using data from 106 <i>Scolopax rusticola</i> (Eurasian Woodcock) and 87 <i>Gallinago gallinago</i> (Common Snipe) fitted with transmitters. We considered two different timescales. We found that weather conditions are diving Woodcock movements, but no weather conditions correlate with migration onset of Snipe. We discuss main hypotheses which could explain intriguing difference between these two species of Scolopacidae and suggest that the molt schedule of Snipe may result in a trade-off between choosing the best environmental conditions to molt and the best conditions to migrate.
DOI: 10.15468/dl.j3xcth
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gentiana kurroo Royle"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030369-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13127/wsquakes/1982-2023
title: Earthquake locations in Western Sicily (WSquakes_1982-2023)
title: WSquakes_1982-2023

description: We analysed the seismicity recorded in Western Sicily by the National Seismic Network in the time span between 1982 and 2023. In this period were recorded about 500 earthquakes with magnitude between 0.5≤M≤4.1.
description: Abbiamo analizzato la sismicità registrata nella Sicilia occidentale dalla Rete Sismica Nazionale nel periodo compreso tra il 1982 e il 2023. In questo intervallo sono stati registrati circa 500 terremoti con magnitudo compresa tra 0.5≤M≤4.1.
description: The hypocentral parameters of the earthquakes were obtained through a simultaneous inversion of the velocity model and event locations, using two software programs, LOTOS (Koulakov 2009) and tomoDDPS (Zhang et al. 2009).
description: The table (WSquakes_1982-2023) shows the origin time and the hypocentre parameters of the earthquakes. Specifically: ID= identification number; DATE (day- month-year); Origin Time (hour, minute, second and cent); LAT = latitude north in degrees; LONG = longitude east in degrees; DEPTH in km; M= magnitude.
DOI: 10.15468/dl.b9nee2
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Habenaria intermedia D.Don"
 ]
}

 The dataset includes 45 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030371-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.by8tac
title: Occurrence Download

description: A dataset containing 13853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Costa Rica, Panama)",
 "TaxonKey is Procnias tricarunculatus (J.Verreaux & E.Verreaux, 1853)",
 "Year 2000-2022"
 ]
}

 The dataset includes 13853 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030370-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13624813
title: First Evidence of Early Neolithic Archery from Cueva de los Murciélagos (Albuñol, Granada) Revealed through Combined Chemical and Morphological Analysis

description: GC-MS (raw data: .cdf files) and MALDI-ToF MS data (raw data: .txt files) used for ORA analyses of adhesives and coatings from arrowshafts, and ZooMS analysis of two bowstring fragments from La Cueva de Murciélagos site (Andalusia, Spain). Date : Early Neolithic. DOI article: https://doi.org/10.1038/s41598-024-77224-w
DOI: 10.5281/zenodo.13624814
title: First Evidence of Early Neolithic Archery from Cueva de los Murciélagos (Albuñol, Granada) Revealed through Combined Chemical and Morphological Analysis

description: GC-MS (raw data: .cdf files) and MALDI-ToF MS data (raw data: .txt files) used for ORA analyses of adhesives and coatings from arrowshafts, and ZooMS analysis of two bowstring fragments from La Cueva de Murciélagos site (Andalusia, Spain). Date : Early Neolithic. DOI article: https://doi.org/10.1038/s41598-024-77224-w
DOI: 10.15468/dl.yqhpze
title: Occurrence Download

description: A dataset containing 102589492 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 102589492 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030352-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14391323
title: Chapter 4 raw data
DOI: 10.5281/zenodo.14391324
title: Chapter 4 raw data
DOI: 10.5281/zenodo.14280846
title: Spatial distribution of particulate matter, collected using low cost sensors, in Downtown-Singapore

description: The dataset consists of particulate matter concentration and meteorology data, measured in Singapore, Chinatown, and Central business district from March 13, 2018, to March 16, 2018. The data collectors walked from the Outram district - Chinatown to the Central Business District in Singapore. The measurements were carried out using a hand-held air quality sensor ensemble (URBMOBI 3.0).

The dataset contains information from two URBMOBI 3.0 devices and one reference-grade device (Grimm 1.109). The data from the sensors and Grimm are denoted by the subscript, 's1', 's2', and 'gr', respectively.

singapore_all_pm_25.geojson : The observed PM concentration and meteorology, aggregated using a 25 m buffer around the measurement points.

Information on working with geojson file can be found under GeoJSON .

Units: PM : µg/m³Scaled_PM_MM : Dimensionless entity scaled using Min-Max-Scaler (https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html)Scaled_PM_SS : Dimensionless entity scaled using Standard-Scaler (https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html)Air temperature: °CRelative humidity: %

 

The measurements are part of the "Effects of heavy precipitation events on near-surface climate and particulate matter concentrations in Singapore". It is funded by the support from Humboldt-Universität zu Berlin for seed funding for collaborative projects between National University of Singapore and Humboldt-Universität zu Berlin.
DOI: 10.5281/zenodo.14280847
title: Spatial distribution of particulate matter, collected using low cost sensors, in Downtown-Singapore

description: The dataset consists of particulate matter concentration and meteorology data, measured in Singapore, Chinatown, and Central business district from March 13, 2018, to March 16, 2018. The data collectors walked from the Outram district - Chinatown to the Central Business District in Singapore. The measurements were carried out using a hand-held air quality sensor ensemble (URBMOBI 3.0).

The dataset contains information from two URBMOBI 3.0 devices and one reference-grade device (Grimm 1.109). The data from the sensors and Grimm are denoted by the subscript, 's1', 's2', and 'gr', respectively.

singapore_all_pm_25.geojson : The observed PM concentration and meteorology, aggregated using a 25 m buffer around the measurement points.

Information on working with geojson file can be found under GeoJSON .

Units: PM : µg/m³Scaled_PM_MM : Dimensionless entity scaled using Min-Max-Scaler (https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html)Scaled_PM_SS : Dimensionless entity scaled using Standard-Scaler (https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html)Air temperature: °CRelative humidity: %

 

The measurements are part of the "Effects of heavy precipitation events on near-surface climate and particulate matter concentrations in Singapore". It is funded by the support from Humboldt-Universität zu Berlin for seed funding for collaborative projects between National University of Singapore and Humboldt-Universität zu Berlin.
DOI: 10.15468/dl.wbfw3c
title: Occurrence Download

description: A dataset containing 380203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Chile",
 "DatasetKey is Base de datos biogeográfica del Fondo de Investigación Pesquera y de Acuicultura (1999-2019), Subsecretaría de Pesca y Acuicultura"
 ]
}

 The dataset includes 380203 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030367-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6pfer
title: Occurrence Download

description: A dataset containing 639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amazophrynella minuta (Melin, 1941)"
 ]
}

 The dataset includes 639 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030373-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28003754
title: Convallaria majalis raw GC-MS files

description: Metabolite extraction from Delonix regia
DOI: 10.15468/dl.j5a5vu
title: Occurrence Download

description: A dataset containing 6161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "TaxonKey is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 6161 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030374-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phb5gs
title: Occurrence Download

description: A dataset containing 1890559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.14189 36.14237,-8.26186 34.94243,-11.30356 31.00015,-14.62178 27.05222,-17.84783 23.13001,-16.74175 21.3384,-12.8705 21.51001,-12.31746 23.29943,-11.94877 25.64815,-8.44621 26.14564,-8.44621 28.43894,-5.86537 29.80773,-3.28454 31.86524,-1.44108 32.17784,-1.7176 35.0934,-6.14189 36.14237))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1890559 records from 810 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030335-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.