cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13767999
title: UK 2024 Survey on Civil protection and domestic security in contemporary hybrid warfare

description: The dataset deals with the analysis of three hypotheses:



H1: Hybrid conflicts are distinguished by a unique combination of conventional, irregular, cyber, and informational activities carried out by a broad spectrum of actors (state, non-state, and international) to achieve strategic advantage without crossing the threshold of open armed conflict.

H2: The threats to civilians in hybrid conflicts are multidimensional and include direct military effects, the consequences of cyber attacks on critical infrastructure, and the impact of information activities on the social cohesion and psyche of individuals, requiring an integrated response at the national and international levels

H3: Effective civil protection in the context of hybrid conflicts requires implementing integrated warning and response systems, educating the public about cyber security, and building resilience to psychological and informational actions, considering the specificity and complexity of hybrid threats.


The above hypotheses require methodological choices, including decisions on such issues as which sources should be considered and the list of characteristics to be studied under each hypothesis. The study used secondary source analysis. The analysis of the available literature on the subject made it possible to survey the state of knowledge on hybrid warfare and establish a theoretical framework. The theoretical framework adopted based on the literature analysis was compared with the results of empirical research. The empirical research was conducted on secondary sources through media reports describing the war in Ukraine. The analysis of secondary sources made it possible to adopt a period of analysis that was adequate for the characteristics of modern hybrid warfare. In addition, collecting primary data through observations would have been impossible regarding time, workload, and researcher safety. A systematic literature review was used to examine the literature on the subject, and a content analysis method was used to analyze media reports.The analysis of secondary sources was supplemented by surveys conducted among civilians affected by the hybrid war between Ukraine and the Russian Federation.
DOI: 10.15468/dl.8a6ch6
title: Occurrence Download

description: A dataset containing 93359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Material sample, Specimen, Living Specimen, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((11.50878 40.81856,13.78748 40.81751,13.82161 42.24597,11.74271 42.27774,11.52042 42.21611,11.50878 40.81856))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 93359 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017494-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pv4syw
title: Occurrence Download

description: A dataset containing 13455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx lynx (Linnaeus, 1758)",
 "Year 1970-2024"
 ]
}

 The dataset includes 13455 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017495-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13285724
title: Outputs from policy sprint "How does artificial intelligence contribute to sustainability in Switzerland?"

description: This dataset contains English-language output from a policy sprint on the question "How does artificial intelligence contribute to sustainability in Switzerland?" by the Swiss organization Expedition Zukunft, documented at https://www.expeditionzukunft.ch/sprint-ki.

The information included in this dataset was made publicly available by the organization at https://www.expeditionzukunft.ch/sprint-ki. This dataset is simply a transfer of this information on the output of the policy sprint in tabular form, for ease of consumption and analysis.

sprint_outputs.csv contains the raw textual data from the website on the outputs of the policy sprint process.metadata.csv contains an explanation of all columns in sprint_outputs.csv.

The dataset accompanies an analysis of the policy sprint published in (preprint) form at https://doi.org/10.31235/osf.io/xykej.When citing this dataset, please credit the organisation Expedition Zukunft (https://www.expeditionzukunft.ch) as the creators and curators of the original raw data source.
DOI: 10.5281/zenodo.13285725
title: Outputs from policy sprint "How does artificial intelligence contribute to sustainability in Switzerland?"

description: This dataset contains English-language output from a policy sprint on the question "How does artificial intelligence contribute to sustainability in Switzerland?" by the Swiss organization Expedition Zukunft, documented at https://www.expeditionzukunft.ch/sprint-ki.

The information included in this dataset was made publicly available by the organization at https://www.expeditionzukunft.ch/sprint-ki. This dataset is simply a transfer of this information on the output of the policy sprint in tabular form, for ease of consumption and analysis.

sprint_outputs.csv contains the raw textual data from the website on the outputs of the policy sprint process.metadata.csv contains an explanation of all columns in sprint_outputs.csv.

The dataset accompanies an analysis of the policy sprint published in (preprint) form at (forthcoming).When citing this dataset, please reference the organisation Expedition Zukunft (https://www.expeditionzukunft.ch) as the creators and curators of the original raw data source.
DOI: 10.5281/zenodo.13286023
title: Outputs from policy sprint "How does artificial intelligence contribute to sustainability in Switzerland?"

description: This dataset contains English-language output from a policy sprint on the question "How does artificial intelligence contribute to sustainability in Switzerland?" by the Swiss organization Expedition Zukunft, documented at https://www.expeditionzukunft.ch/sprint-ki.

The information included in this dataset was made publicly available by the organization at https://www.expeditionzukunft.ch/sprint-ki. This dataset is simply a transfer of this information on the output of the policy sprint in tabular form, for ease of consumption and analysis.

sprint_outputs.csv contains the raw textual data from the website on the outputs of the policy sprint process.metadata.csv contains an explanation of all columns in sprint_outputs.csv.

The dataset accompanies an analysis of the policy sprint published in (preprint) form at https://doi.org/10.31235/osf.io/xykej.When citing this dataset, please credit the organisation Expedition Zukunft (https://www.expeditionzukunft.ch) as the creators and curators of the original raw data source.
DOI: 10.15468/dl.ygbbye
title: Occurrence Download

description: A dataset containing 731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.14.84_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Anura"
 ]
}

 The dataset includes 731 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017498-240906103802322/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.27036667
title: Supplementary Information for Optimized therapeutic option against Resistant Klebsiella Pneumoniae infection: revisiting phage therapy

description: Multi-drug resistant and carbapenem-resistant hypervirulent <i>Klebsiella pneumoniae</i> are spreading globally at an alarming rate, emerging as one of the most serious threats to global public health. The formidable challenges posed by the current arsenal of antimicrobials highlight the urgent need for novel strategies to combat <i>K. pneumoniae</i> infections. This review begins with a comprehensive analysis of the global dissemination of virulence factors and critical resistance profiles in <i>K. pneumoniae</i>, followed by an evaluation of the accessibility of novel therapeutic approaches for treating <i>K. pneumoniae</i> in clinical settings. Among these, phage therapy stands out for its considerable potential in addressing life-threatening <i>K. pneumoniae</i> infections. We critically examine the existing preclinical and clinical evidence supporting phage therapy, identifying key limitations that impede its broader clinical adoption. Additionally, we rigorously explore the role of genetic engineering in expanding the host range of <i>K. pneumoniae</i> phages, and discuss the future trajectory of this technology. In light of the 'Bad Bugs, No Drugs' era, we advocate leveraging artificial intelligence and deep learning to optimize and expand the application of phage therapy, representing a crucial advancement in the fight against the escalating threat of <i>K. pneumoniae</i> infections.
DOI: 10.6084/m9.figshare.27036667.v1
title: Supplementary Information for Optimized therapeutic option against Resistant Klebsiella Pneumoniae infection: revisiting phage therapy

description: Multi-drug resistant and carbapenem-resistant hypervirulent <i>Klebsiella pneumoniae</i> are spreading globally at an alarming rate, emerging as one of the most serious threats to global public health. The formidable challenges posed by the current arsenal of antimicrobials highlight the urgent need for novel strategies to combat <i>K. pneumoniae</i> infections. This review begins with a comprehensive analysis of the global dissemination of virulence factors and critical resistance profiles in <i>K. pneumoniae</i>, followed by an evaluation of the accessibility of novel therapeutic approaches for treating <i>K. pneumoniae</i> in clinical settings. Among these, phage therapy stands out for its considerable potential in addressing life-threatening <i>K. pneumoniae</i> infections. We critically examine the existing preclinical and clinical evidence supporting phage therapy, identifying key limitations that impede its broader clinical adoption. Additionally, we rigorously explore the role of genetic engineering in expanding the host range of <i>K. pneumoniae</i> phages, and discuss the future trajectory of this technology. In light of the 'Bad Bugs, No Drugs' era, we advocate leveraging artificial intelligence and deep learning to optimize and expand the application of phage therapy, representing a crucial advancement in the fight against the escalating threat of <i>K. pneumoniae</i> infections.
DOI: 10.5281/zenodo.13768008
title: Input data for MFAssignR Galaxy workflow tutorial

description: This is the input dataset for the MFAssignR Galaxy training workflow. The input dataset corresponds to the model data of MFAssignR (Raw_Neg_ML), containing a raw mass list, measured in a negative ESI mode.
DOI: 10.5281/zenodo.13768009
title: Input data for MFAssignR Galaxy workflow tutorial

description: This is the input dataset for the MFAssignR Galaxy training workflow. The input dataset corresponds to the model data of MFAssignR (Raw_Neg_ML), containing a raw mass list, measured in a negative ESI mode.
DOI: 10.17637/rh.26067916
title: Data used in: Pirroni et al. - <b>Salinity limits mosquitofish invasiveness by altering female activity during mate choice</b>

description: This dataset consists of three different files. The first one [<b>Mate-choice data (all pops and treatments)</b>] provides all the association times as a function of species, population, salinity level, as well as fish size. The second (<b>SOP large vs small male</b>) provides all association times as well as Strength of Preference score (SOP) for all trials that provided a choice between a large and a small male. The third (<b>SOP parasitised vs nonparasitised male</b>) provides association times as well as Strength of Preference score (SOP) for all trials that provided a choice between a parasitised and a nonparasitised male.
DOI: 10.17637/rh.26067916.v1
title: Data used in: Pirroni et al. - <b>Salinity limits mosquitofish invasiveness by altering female activity during mate choice</b>

description: This dataset consists of three different files. The first one [<b>Mate-choice data (all pops and treatments)</b>] provides all the association times as a function of species, population, salinity level, as well as fish size. The second (<b>SOP large vs small male</b>) provides all association times as well as Strength of Preference score (SOP) for all trials that provided a choice between a large and a small male. The third (<b>SOP parasitised vs nonparasitised male</b>) provides association times as well as Strength of Preference score (SOP) for all trials that provided a choice between a parasitised and a nonparasitised male.
DOI: 10.15468/dl.fc4d2m
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dalbergia bariensis Pierre"
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017500-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.turmbx
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dalbergia cearensis Ducke"
 ]
}

 The dataset includes 718 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017502-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/01215
title: Chandra X-ray Observatory ObsId 01215
DOI: 10.15468/dl.5kyxn4
title: Occurrence Download

description: A dataset containing 2273 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guatteria amplifolia Triana & Planch."
 ]
}

 The dataset includes 2273 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017504-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjyg8b
title: Occurrence Download

description: A dataset containing 587 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysemys picta dorsalis Agassiz, 1857"
 ]
}

 The dataset includes 587 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017505-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hedtkb
title: Occurrence Download

description: A dataset containing 167243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Material sample, Specimen, Living Specimen, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((111.62973 21.67528,114.95769 21.67528,114.95769 24.34085,111.62973 24.34085,111.62973 21.67528))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 167243 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017496-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfqa53
title: Occurrence Download

description: A dataset containing 602 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros pilosanthera Blanco"
 ]
}

 The dataset includes 602 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017507-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksfp3s
title: Occurrence Download

description: A dataset containing 2273 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guatteria amplifolia Triana & Planch."
 ]
}

 The dataset includes 2273 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017506-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmt9ev
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (? alba Epshtein & S.Y.Utevsky, 1996, ? cylindrica Decne., ? iota Linnaeus, 1758, ? stenopterus Fr., ? stipularis Jacot, 1937, ? suaveolens Anzi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017508-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14459/2024mp1753731
title: Characterization of the spin and crystal field Hamiltonian of erbium dopants in silicon

description: Data used to produce the figures of the publication "Characterization of the spin and crystal field Hamiltonian of erbium dopants in silicon" 2024
DOI: 10.15468/dl.ak4tmm
title: Occurrence Download

description: A dataset containing 461330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset includes 461330 records from 3125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017493-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pddxjz
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cousinia margaritae Kult."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012606-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7d8x4e
title: Occurrence Download

description: A dataset containing 33510 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chlorostilbon canivetii (R.Lesson, 1832)"
 ]
}

 The dataset includes 33510 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0312162-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aycoxx
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 2009-2018",
 "TaxonKey is Centruroides nigrescens (Pocock, 1898)"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012582-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czd9rp
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pristimantis metabates (Duellman & Pramuk, 1999)"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043567-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5f6sf5
title: Occurrence Download

description: A dataset listing the 2790 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "Geometry POLYGON((49.2627 -11.10079,46.18652 -14.2729,42.23145 -16.89707,42.84668 -20.64101,42.31934 -24.61506,43.81348 -25.8078,45.74707 -26.2816,47.94434 -25.49089,51.19629 -15.71612,51.1084 -12.82037,49.2627 -11.10079))",
 "HasGeospatialIssue is false",
 "TaxonKey is Actinopterygii"
 ]
}

 The dataset's 2790 records were derived from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075061-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjvmsk
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crepidium purpureum (Lindl.) Szlach."
 ]
}

 The dataset includes 76 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012609-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sphmh4
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tabebuia chrysantha (Jacq.) Nicholson",
 {
 "or" : [
 "Country is Colombia",
 "Country is Peru",
 "Country is Ecuador",
 "Country is Venezuela (Bolivarian Republic of)"
 ]
 }
 ]
}

 The dataset includes 195 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012586-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.