cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18710666
title: THE EXPRESSION OF NATIONAL AND CULTURAL CONCEPTS THROUGH LINGUISTIC MEANS IN UZBEK AND ENGLISH: A LINGUO-ASSOCIATIVE APPROACH

description: This study examines how national-cultural concepts are expressed in Uzbek and English using a linguo-associative approach. The research analyzes lexical units, phraseological expressions, and associative reactions of speakers in order to reveal cultural meanings encoded in language. Associative experiments and contextual analysis demonstrate that Uzbek conceptualization is oriented toward collective values, tradition, and social relations, whereas English conceptualization tends toward individuality, privacy, and pragmatic evaluation. The results confirm that associative fields uncover deep cultural semantics that are not fully represented in dictionary definitions. The findings are relevant for linguoculturology, intercultural communication, and translation studies.
DOI: 10.5281/zenodo.18710665
title: THE EXPRESSION OF NATIONAL AND CULTURAL CONCEPTS THROUGH LINGUISTIC MEANS IN UZBEK AND ENGLISH: A LINGUO-ASSOCIATIVE APPROACH

description: This study examines how national-cultural concepts are expressed in Uzbek and English using a linguo-associative approach. The research analyzes lexical units, phraseological expressions, and associative reactions of speakers in order to reveal cultural meanings encoded in language. Associative experiments and contextual analysis demonstrate that Uzbek conceptualization is oriented toward collective values, tradition, and social relations, whereas English conceptualization tends toward individuality, privacy, and pragmatic evaluation. The results confirm that associative fields uncover deep cultural semantics that are not fully represented in dictionary definitions. The findings are relevant for linguoculturology, intercultural communication, and translation studies.
DOI: 10.17632/cszpw4c66t.1
title: Structural insights into Cas9-mediated prespacer selection in CRISPR-Cas adaptation. Gaizauskaite et al.

description: During CRISPR-Cas adaptation, prokaryotic cells become immunized by the insertion of foreign DNA fragments, termed spacers, into the host genome to serve as templates for RNA-guided immunity. Spacer acquisition relies on the Cas1-Cas2 integrase and accessory proteins, which select DNA sequences flanked by the protospacer adjacent motif (PAM) and insert them into the CRISPR array. It has been shown that in type II-A systems selection of PAM-proximal prespacers is mediated by the effector nuclease Cas9, which forms a ‘supercomplex’ with the Cas1-Cas2 integrase and the Csn2 protein. Here, we present cryo-electron microscopy structures of the type II-A prespacer selection supercomplex in the DNA-scanning and two distinct PAM-bound configurations, providing insights into the mechanism of Cas9-mediated prespacer selection in type II-A CRISPR-Cas systems. Repurposing of Cas9 by the CRISPR adaptation machinery for prespacer selection characterized here demonstrates Cas9 plasticity and expands our knowledge of the Cas9 biology.
DOI: 10.17632/79s539bm5t
title: Writing

description: This data relates to fourth-grade elementary school students' writing achievement, attitudes towards writing, and writing self-efficacy.
DOI: 10.17632/79s539bm5t.1
title: Writing

description: This data relates to fourth-grade elementary school students' writing achievement, attitudes towards writing, and writing self-efficacy.
DOI: 10.5281/zenodo.18655849
title: Data and code for manuscript "The greater the threat, the greater the cooperation: predation risk drives mobbing intensity in tits"

description: Data and R script used for the analysis in our manuscript "The greater the threat, the greater the cooperation: predation risk drives mobbing intensity in tits".

Abstract : Mobbing is a widespread anti-predator strategy among prey species and is considered as a form of cooperation. As such it is expected to be enhanced when the perceived risk of predation is locally increased. Here, through a manipulation of the landscape of fear (variation in the perceived predation risk 3 minutes per day), we study how it affects the propensity to engage in mobbing behaviour of two Paridae species (Great tit and Blue tit). For our two target species, a high perceived risk of predation led to greater engagement in mobbing behaviour. Additionally, we found no difference in mobbing engagement between the two species (even though the acoustic stimuli used were only heterospecific for the Great Tit), demonstrating that heterospecific cooperation also increases when the risk of predation increases.
DOI: 10.5281/zenodo.18655850
title: Data and code for manuscript "The greater the threat, the greater the cooperation: predation risk drives mobbing intensity in tits"

description: Data and R script used for the analysis in our manuscript "The greater the threat, the greater the cooperation: predation risk drives mobbing intensity in tits".

Abstract : Mobbing is a widespread anti-predator strategy among prey species and is considered as a form of cooperation. As such it is expected to be enhanced when the perceived risk of predation is locally increased. Here, through a manipulation of the landscape of fear (variation in the perceived predation risk 3 minutes per day), we study how it affects the propensity to engage in mobbing behaviour of two Paridae species (Great tit and Blue tit). For our two target species, a high perceived risk of predation led to greater engagement in mobbing behaviour. Additionally, we found no difference in mobbing engagement between the two species (even though the acoustic stimuli used were only heterospecific for the Great Tit), demonstrating that heterospecific cooperation also increases when the risk of predation increases.
DOI: 10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e
title: Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]

description: 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2012. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.
description: The rainfall estimates are derived from the Met Office national database of observed precipitations. To derive the monthly estimates, monthly and daily (when complete month availabe) precipitation totals from the UK raingauge network are used. An additional quality control step (data already quality controlled by the Met Office) was introduced to check events greater than the 200 year return period. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall (SAAR61-90), was used to generate the daily and monthly rainfall grids. The daily grids are adjusted so that the monthly totals calculated from those are in agreement with the monthly grids. As an indicator of the quality of the estimates, the dataset also contains for each grid generated a grid containing the distance to the closest raingauge used to interpolate the grid point. A grid containing the number of missing estimates for each year is also provided. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.
DOI: 10.15468/dl.g6w7du
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notidobiella amazoniana",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031595-260208012135463/datasets/export for details.
DOI: 10.5281/zenodo.18632737
title: Mopo Pan-European Hydropower Data

description: This dataset includes:



Reconstructed hydropower inflow from 1980 to 2023 for electricity areas for Pan-European countries, including weekly reservoir inflow (MWh) and daily run-of-river inflow (MWh). Detailed Information in the github: MOPO hydropower inflow



Reservoir Inflow available areas: ['AL', 'AT', 'BA', 'BG', 'CH', 'ES', 'FI', 'FR', 'GR', 'HR', 'ITN1', 'ME', 'MK', 'NO1', 'NO2', 'NO3', 'NO4', 'NO5', 'PT', 'RO', 'RS', 'SE1', 'SE2', 'SE3', 'SE4', 'UA']

Run-of-river inflow available areas: ['AT', 'BA', 'BE', 'BG', 'CH', 'CZ', 'DE', 'ES', 'FR', 'HR', 'IE', 'ITCN', 'ITCS', 'ITN1', 'ITCA', 'ITSI', 'LT', 'LV', 'NO1', 'NO2', 'NO3', 'NO4', 'NO5', 'PL', 'PT', 'RO', 'RS', 'SI', 'UK']



Equivalent reservoir-based and pumped storage hydropower parameters for each area. Detailed Information in the github: MOPO_hydropower_equivalent



Reservoir based available areas: ['AL', 'AT', 'BA', 'BG', 'CH', 'ES', 'FI', 'FR', 'GR', 'HR', 'ITN1', 'ME', 'MK', 'NO1', 'NO2', 'NO3', 'NO4', 'NO5', 'PT', 'RO', 'RS', 'SE1', 'SE2', 'SE3', 'SE4', 'UA']

Pumped-storage available areas: ['NO2', 'NO5', 'ES', 'FR', 'CH','ITN1','AT','BE','LT','PT','UK','DE','CZ','PL']




Model Suggestions:



reservoir-based: note that UA, AL, BA parameters and inflow are scaled based on neighbouring countries, due to the lack of data

pumped storage: efficiency factor applies to the consumption and thus, consumption * efficiency factor will be stored in the reservoir

run-of-river hydropower inflow can be assumed as generation
DOI: 10.5281/zenodo.18632738
title: Mopo Pan-European Hydropower Data

description: This dataset includes:



Reconstructed hydropower inflow from 1980 to 2023 for electricity areas for Pan-European countries, including weekly reservoir inflow (MWh) and daily run-of-river inflow (MWh). Detailed Information in the github: MOPO hydropower inflow



Reservoir Inflow available areas: ['AL', 'AT', 'BA', 'BG', 'CH', 'ES', 'FI', 'FR', 'GR', 'HR', 'ITN1', 'ME', 'MK', 'NO1', 'NO2', 'NO3', 'NO4', 'NO5', 'PT', 'RO', 'RS', 'SE1', 'SE2', 'SE3', 'SE4', 'UA']

Run-of-river inflow available areas: ['AT', 'BA', 'BE', 'BG', 'CH', 'CZ', 'DE', 'ES', 'FR', 'HR', 'IE', 'ITCN', 'ITCS', 'ITN1', 'ITCA', 'ITSI', 'LT', 'LV', 'NO1', 'NO2', 'NO3', 'NO4', 'NO5', 'PL', 'PT', 'RO', 'RS', 'SI', 'UK']



Equivalent reservoir-based and pumped storage hydropower parameters for each area. Detailed Information in the github: MOPO_hydropower_equivalent



Reservoir based available areas: ['AL', 'AT', 'BA', 'BG', 'CH', 'ES', 'FI', 'FR', 'GR', 'HR', 'ITN1', 'ME', 'MK', 'NO1', 'NO2', 'NO3', 'NO4', 'NO5', 'PT', 'RO', 'RS', 'SE1', 'SE2', 'SE3', 'SE4', 'UA']

Pumped-storage available areas: ['NO2', 'NO5', 'ES', 'FR', 'CH','ITN1','AT','BE','LT','PT','UK','DE','CZ','PL']




Model Suggestions:



reservoir-based: note that UA, AL, BA parameters and inflow are scaled based on neighbouring countries, due to the lack of data

pumped storage: efficiency factor applies to the consumption and thus, consumption * efficiency factor will be stored in the reservoir

run-of-river hydropower inflow can be assumed as generation
DOI: 10.15468/dl.qfww66
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is one of (Rheum, Leontopodium, Comarum, Potentilla, Rosa)",
 "Year 2000-2026"
 ]
}

 The dataset includes 150 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031596-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18710219
title: Data for "Hartree shift and pairing gap in ultracold Fermi gases in the framework of low-momentum interactions", arXiv:2602.17420
DOI: 10.5281/zenodo.18710220
title: Data for "Hartree shift and pairing gap in ultracold Fermi gases in the framework of low-momentum interactions", arXiv:2602.17420
DOI: 10.5281/zenodo.18710717
title: objectless_alife PR26 follow-up lightweight reproducibility bundle

description: Lightweight summary bundle for objectless_alife PR26 follow-up analyses, including manifest, checksums, and summary JSON/CSV outputs.
DOI: 10.5281/zenodo.18710718
title: objectless_alife PR26 follow-up lightweight reproducibility bundle

description: Lightweight summary bundle for objectless_alife PR26 follow-up analyses, including manifest, checksums, and summary JSON/CSV outputs.
DOI: 10.15468/hop9dc
title: Mayflies (Ephemeroptera) of Ireland

description: A complete database for the Ephemeroptera of Ireland
DOI: 10.15468/dl.7s7w9e
title: Occurrence Download

description: A dataset containing 32234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Zerynthia rumina"
 ]
}

 The dataset includes 32234 records from 387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031597-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/787
title: AirCore - L2  - TRN site

description: The AirCore is an atmospheric sampler that allows the measurement of the vertical profiles (from the surface up to about 30 km of altitude) of atmospheric mixing ratio of greenhouse gases (CO2, CH4, CO, N2O). Initially proposed by NOAA (Tans, 2009 ; Karion et al., 2010; Membrive et al. 2017), it consists in a long tube of stainless steel placed under a meteorological balloon which, in the ascending phase, empties its air by its open end and is then filled progressively by the atmospheric air during its descent phase. The captured air column is then analyzed using a Picarro CRDS analyzer and finally interpreted in terms of profiles of vertical gas mixing ratio against pressure and altitude using other instruments onboard measuring in particular pressure and/or altitude (electronic board, meteosonde, GPS beacons).

Since 2013, several versions of AirCore have been developed by LMD (CNRS / Ecole Polytechnique / ENS Paris / Sorbonne University) and have then been deployed in partnership with CNES, LSCE (CNRS / CEA / University of Versailles-Saint-Quentin-en-Yvelines), GSMA (CNRS / Université de Reims), OPGC (CNRS / Blaise Pascal University) and CARE-C (The Cyprus Institute), in various places around the globe. Regular launches are organized since 2016 at several stations that form the French AirCore program: Aire-sur-l’Adour (ASA), Traînou (TRN), Reims (MDH). Additional launches are organized during large-scale, multi-instrument field campaigns, such as MAGIC.

The development and deployment of AirCores are carried out in the framework of projects funded by the CNES, CNRS, CEA, Ecole polytechnique, IPSL, the European Union and the University of Reims Champagne-Ardenne.

The present subset of the complete AirCore-Fr network dataset comprises all Level 2 gas vertical profiles, along with Level 1 meteosonde and trajectory data, acquired by the French AirCore program for Traînou launch site only (site code : TRN) from 2016, located mainly in the Cillardières farm (47.9742°N, 2.0925°E).
DOI: 10.15468/dl.zmrd2z
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Machairocentron",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 95 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031598-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdqvek
title: Occurrence Download

description: A dataset containing 1800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lonchocarpus rugosus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1800 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012973-251009101135966/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.30343948
title: Data_Interview

description: This qualitative study explores the development of ego integrity and the role of spiritual resilience among older widow women residing in an elders' home.
DOI: 10.6084/m9.figshare.30343948.v1
title: Data_Interview

description: This qualitative study explores the development of ego integrity and the role of spiritual resilience among older widow women residing in an elders' home.
DOI: 10.15156/bio/sh1384338.10fu
title: SH1384338.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1384339.10fu
title: SH1384339.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1384341.10fu
title: SH1384341.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1384342.10fu
title: SH1384342.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1384344.10fu
title: SH1384344.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1384345.10fu
title: SH1384345.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.