cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8pmtnpkg48
title: How institutions shape the economic returns to investment in European regions? (dataset and codes)

description: This dataset accompanies the paper "How institutions shape the economic returns to investment in European regions?". It contains the data and Stata code used to replicate the analysis presented in the paper. 
Read the Readme file for detailed instructions.

Abstract: Most studies of institutional quality and regional growth assume uniform effects across territories. This masks crucial heterogeneity with direct policy implications. We use a latent class framework applied to 230 EU regions over 2009-2017 to identify institution-driven regional parameter groups, and to examine both average effects and catching-up effects associated with changes in the institutional environment. We demonstrate that institutional quality generates highly variable returns to investment in physical capital and innovation. Nordic and central European regions show highest returns to physical capital and R&D investment, whilst less developed regions benefit most from education spending. Crucially, we find that improving government quality not only raises average returns but also promotes territorial cohesion. By contrast, regional autonomy shows limited impact on returns. Our findings challenge the one-size-fits-all approach to cohesion policy and indicate that cohesion policy should explicitly promote institutional improvements in addition to capital deployment.
DOI: 10.17632/8pmtnpkg48.1
title: How institutions shape the economic returns to investment in European regions? (dataset and codes)

description: This dataset accompanies the paper "How institutions shape the economic returns to investment in European regions?". It contains the data and Stata code used to replicate the analysis presented in the paper. 
Read the Readme file for detailed instructions.

Abstract: Most studies of institutional quality and regional growth assume uniform effects across territories. This masks crucial heterogeneity with direct policy implications. We use a latent class framework applied to 230 EU regions over 2009-2017 to identify institution-driven regional parameter groups, and to examine both average effects and catching-up effects associated with changes in the institutional environment. We demonstrate that institutional quality generates highly variable returns to investment in physical capital and innovation. Nordic and central European regions show highest returns to physical capital and R&D investment, whilst less developed regions benefit most from education spending. Crucially, we find that improving government quality not only raises average returns but also promotes territorial cohesion. By contrast, regional autonomy shows limited impact on returns. Our findings challenge the one-size-fits-all approach to cohesion policy and indicate that cohesion policy should explicitly promote institutional improvements in addition to capital deployment.
DOI: 10.17632/62zw9sw935
title: Low-Altitude Target Localization Method Based on Exogenous Radar with Multi-base Station and 5G SSB Signals

description: The basis RSRP data for paper "Low-Altitude Target Localization Method Based on Exogenous Radar with Multi-base Station and 5G SSB Signals".
DOI: 10.17632/62zw9sw935.1
title: Low-Altitude Target Localization Method Based on Exogenous Radar with Multi-base Station and 5G SSB Signals

description: The basis RSRP data for paper "Low-Altitude Target Localization Method Based on Exogenous Radar with Multi-base Station and 5G SSB Signals".
DOI: 10.17632/884cyxz3fc
title: Genomic and Molecular Dataset on Target-Site Mutation Genotyping of Insecticide-Resistant Anopheles gambiae Populations in Ota

description: This dataset provides a comprehensive molecular and genomic characterisation of insecticide-resistant Anopheles gambiae populations collected across five breeding sites in Ota, Ogun State, Nigeria.
DOI: 10.17632/884cyxz3fc.1
title: Genomic and Molecular Dataset on Target-Site Mutation Genotyping of Insecticide-Resistant Anopheles gambiae Populations in Ota

description: This dataset provides a comprehensive molecular and genomic characterisation of insecticide-resistant Anopheles gambiae populations collected across five breeding sites in Ota, Ogun State, Nigeria.
DOI: 10.15468/dl.hgd3u6
title: Occurrence Download

description: A dataset containing 510491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Estrilda astrild",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 510491 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046049-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p22wrh
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arctonoe vittata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 423 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046071-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3w783dxpf7
title: Nitrogen-rich anthropogenic soil carbon dynamics and its functionality

description: All raw data utilised in the creation of the data charts and tables referenced in this article are collated here.
DOI: 10.17632/3w783dxpf7.1
title: Nitrogen-rich anthropogenic soil carbon dynamics and its functionality

description: All raw data utilised in the creation of the data charts and tables referenced in this article are collated here.
DOI: 10.17632/vhmy4sfpc6
title: original data

description: This dataset compiles field measurements and laboratory analyses investigating the dynamics of soil organic carbon (SOC) and related biogeochemical factors during the natural recovery of plateau pika (Ochotona curzoniae) mounds in an alpine meadow on the Qinghai-Tibet Plateau.
This data provides insights into plant-soil-microbe interactions driving carbon sequestration in disturbed grassland ecosystems.
DOI: 10.17632/vhmy4sfpc6.1
title: original data

description: This dataset compiles field measurements and laboratory analyses investigating the dynamics of soil organic carbon (SOC) and related biogeochemical factors during the natural recovery of plateau pika (Ochotona curzoniae) mounds in an alpine meadow on the Qinghai-Tibet Plateau.
This data provides insights into plant-soil-microbe interactions driving carbon sequestration in disturbed grassland ecosystems.
DOI: 10.17632/c4jnrhbp6h
title: Pseudocode for procedure used to compute λ and h-type indicators and investigating law-indicator compliance with 80/20, 90/10, 60/40 or other laws

description: This is the pseudocode for computation of h-type indicators and λ-index for a dataset (of profiles of N researchers) and for investigating law-indicator compliance of these indicators with laws like 80/20, 90/10, 60/40 etc.,
DOI: 10.17632/c4jnrhbp6h.1
title: Pseudocode for procedure used to compute λ and h-type indicators and investigating law-indicator compliance with 80/20, 90/10, 60/40 or other laws

description: This is the pseudocode for computation of h-type indicators and λ-index for a dataset (of profiles of N researchers) and for investigating law-indicator compliance of these indicators with laws like 80/20, 90/10, 60/40 etc.,
DOI: 10.17632/bp8svtfbsz.1
title: Physical exercise and problematic smartphone use among Chinese adolescents
DOI: 10.17632/bw93ynnnbd
title: Depth-dependent divergent effect of long-term straw return on SOC and SIC fractions

description: The data of "Depth-dependent divergent effect of long-term straw return on SOC and SIC fractions"
DOI: 10.17632/bw93ynnnbd.1
title: Depth-dependent divergent effect of long-term straw return on SOC and SIC fractions

description: The data of "Depth-dependent divergent effect of long-term straw return on SOC and SIC fractions"
DOI: 10.15468/dl.jtxq2t
title: Occurrence Download

description: A dataset containing 37601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -10.914722",
 "DecimalLatitude is less than or equal to -5.914722",
 "DecimalLongitude is greater than or equal to 110.0",
 "DecimalLongitude is less than or equal to 115.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 37601 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046072-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vuwfxa
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Paraguay",
 "Geometry POLYGON((-54.8238 -25.22229,-54.56968 -25.22229,-54.56968 -25.0185,-54.8238 -25.0185,-54.8238 -25.22229))",
 "HasGeospatialIssue is false",
 "StateProvince is one of (Alto Parana, Alto Parana', Alto Parana Department, Alto Parana Dept., Alto Parana dept., Alto Parana dept.?, Alto parana, alto Parana)"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046073-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6urdx
title: Occurrence Download

description: A dataset containing 6156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ctenopharyngodon idella"
 ]
}

 The dataset includes 6156 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046074-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/yhf6e2
title: Taxonomy and phylogeny of the Pleurotus djamor complex with descriptions of a new species from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zeng, Long, Xu, Yi-Hua, Wan, Le-Le, Sun, Yi-Fei, Cui, Bao-Kai (2025): Taxonomy and phylogeny of the Pleurotus djamor complex with descriptions of a new species from China. MycoKeys 126: 119-133, DOI: 10.3897/mycokeys.126.162530AbstractThe Pleurotus djamor complex is widely distributed in tropical and subtropical regions and is known for its more or less reddish pileus. Phylogenetic analyses of the P. djamor complex were carried out using multiple loci, including the internal transcribed spacer regions (ITS), the translation elongation factor 1 - alpha gene (tef 1 α), and the second largest subunit of RNA polymerase II (rpb 2). In this study, a new species of Pleurotus, P. sinensis, is described based on morphological characters and molecular evidence. Pleurotus sinensis is characterized by a pileus that is white to pinkish buff or flesh-pink, flabelliform to petaloid, with inflexed and sometimes wavy margins. An illustrated description of the novel species is provided.
DOI: 10.5286/isis.e.rb2510626-1
title: Investigating Hydrogen Movement and Lithium-Ion Diffusion in Reactive Hydride Composites for Enhanced Hydrogen Storage Performance using QENS and Impedance Spectroscopy

description: This proposal aims to investigate the relationship between hydrogen movement and lithium-ion (Li+) conductivity, correlating these factors with dehydrogenation kinetics in a complex hydrogen storage material composed of Mg(NH2)2, LiH, and LiBH4. By examining hydrogen movement at different stages of dehydrogenation, the study seeks to deepen the understanding of ion transport mechanisms within these materials. The findings will offer insights into how Li+ conductivity relates to the behavior of mobile species, such as BH4‒ and NH3, during the dehydrogenation process. Ultimately, this research could enhance hydrogen storage materials by optimizing ion transport properties, which are vital for their efficiency and performance in energy storage applications.
DOI: 10.5286/isis.e.rb2510626
title: Investigating Hydrogen Movement and Lithium-Ion Diffusion in Reactive Hydride Composites for Enhanced Hydrogen Storage Performance using QENS and Impedance Spectroscopy

description: This proposal aims to investigate the relationship between hydrogen movement and lithium-ion (Li+) conductivity, correlating these factors with dehydrogenation kinetics in a complex hydrogen storage material composed of Mg(NH2)2, LiH, and LiBH4. By examining hydrogen movement at different stages of dehydrogenation, the study seeks to deepen the understanding of ion transport mechanisms within these materials. The findings will offer insights into how Li+ conductivity relates to the behavior of mobile species, such as BH4‒ and NH3, during the dehydrogenation process. Ultimately, this research could enhance hydrogen storage materials by optimizing ion transport properties, which are vital for their efficiency and performance in energy storage applications.
DOI: 10.15468/dl.j7k3uk
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eunoe depressa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 74 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046075-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2310557-1
title: Methanol dynamics in different CHA-type zeolite catalysts

description: The increasing demand for fuel and bulk chemicals across the globe and the need to reduce carbon emissions has prompted significant research into more sustainable, and economical, feedstocks to crude oil such as biomass and syngas derived methanol both of which could be used in methanol-to-hydrocarbons (MTH) processes.
CHA-type zeolites, specifically H-SAPO-34, have shown promise for use in the methanol-to-olefins (MTO) reaction and will play a key role in future fuel and chemicals production.
Despite the important commercial application of zeolites in the methanol-to-olefins (MTO) process, the exact mechanisms are very complex and still debated. The initial step involves the diffusion of methanol to the active site and interaction with Brønsted acidic sites. The rate at which these molecules diffuse through the CHA framework is of great importance to the catalytic process, and the effect that catalyst structure and composition has on such behaviour is of significant interest. The aim of this work is to measure the self-diffusivities/rotational rates and decipher any diffusion mechanisms (such as jump diffusion) of methanol within different CHA-type zeolite catalysts using QENS. The Si/Al (dictating the concentration of Bronsted acidic active sites) will be varied, in order to quantify and hindrances to diffusion or rotation in the catalyst. Such an understanding of the dynamical behaviour will be of crucial importance to the design and optimisation of future MTO catalysts.
DOI: 10.5286/isis.e.rb2310557
title: Methanol dynamics in different CHA-type zeolite catalysts

description: The increasing demand for fuel and bulk chemicals across the globe and the need to reduce carbon emissions has prompted significant research into more sustainable, and economical, feedstocks to crude oil such as biomass and syngas derived methanol both of which could be used in methanol-to-hydrocarbons (MTH) processes.
CHA-type zeolites, specifically H-SAPO-34, have shown promise for use in the methanol-to-olefins (MTO) reaction and will play a key role in future fuel and chemicals production.
Despite the important commercial application of zeolites in the methanol-to-olefins (MTO) process, the exact mechanisms are very complex and still debated. The initial step involves the diffusion of methanol to the active site and interaction with Brønsted acidic sites. The rate at which these molecules diffuse through the CHA framework is of great importance to the catalytic process, and the effect that catalyst structure and composition has on such behaviour is of significant interest. The aim of this work is to measure the self-diffusivities/rotational rates and decipher any diffusion mechanisms (such as jump diffusion) of methanol within different CHA-type zeolite catalysts using QENS. The Si/Al (dictating the concentration of Bronsted acidic active sites) will be varied, in order to quantify and hindrances to diffusion or rotation in the catalyst. Such an understanding of the dynamical behaviour will be of crucial importance to the design and optimisation of future MTO catalysts.
DOI: 10.17632/z4fdmv88vt
title: ggxy: A flexible library to compute gluon-induced cross sections

description: We present the library ggxy, written in C++, which can be used to compute partonic and hadronic cross sections for gluon-induced processes with at least one closed heavy quark loop. It is based on analytic ingredients which avoids, to a large extent, expensive numerical integration. This results in significantly shorter run-times than other similar tools. Modifying input parameters, changing the renormalization scheme and varying renormalization and factorization scales is straightforward.
In Version 1 of ggxy we implement all routines which are needed to compute partonic and hadronic cross sections for Higgs boson pair production up to next-to-leading order in QCD. We provide flexible interfaces and allow the user to interact with the built-in amplitudes at various levels.
DOI: 10.17632/z4fdmv88vt.1
title: ggxy: A flexible library to compute gluon-induced cross sections

description: We present the library ggxy, written in C++, which can be used to compute partonic and hadronic cross sections for gluon-induced processes with at least one closed heavy quark loop. It is based on analytic ingredients which avoids, to a large extent, expensive numerical integration. This results in significantly shorter run-times than other similar tools. Modifying input parameters, changing the renormalization scheme and varying renormalization and factorization scales is straightforward.
In Version 1 of ggxy we implement all routines which are needed to compute partonic and hadronic cross sections for Higgs boson pair production up to next-to-leading order in QCD. We provide flexible interfaces and allow the user to interact with the built-in amplitudes at various levels.
DOI: 10.17632/9f624skspb.1
title: Internally consistent thermodynamic properties of Nd chloride aqueous species and Nd3+ derived from hydrothermal solution calorimetry at 25‒150 °C

description: In this study, hydrothermal solution calorimetry was used to measure the standard partial molal enthalpy of solution (ΔsolH°) of Nd chloride solid (NdCl3⋅6H2O) from 25 to 150 ºC and to determine the standard thermodynamic properties of Nd chloride aqueous species. The experiments were conducted in aqueous hydrochloric acid-based aqueous solutions with an initial pH of 2 and varying ionic strength (0.08−0.42 mol/kg), at which conditions the Nd3+ and Nd chloride species are both stable. In the studied temperature range, the measured ΔsolH° values differ by 35 kJ/mol in comparison to thermodynamic predictions based on available literature data. These large discrepancies have important implications for geochemical modeling because the thermodynamic properties of REE aqueous species are derived from the properties of REE chloride solids. To address this problem, the standard enthalpy of formation (ΔfH°) of NdCl3·6H2O(s) and aqueous NdCl2+ species were optimized to reproduce the experimentally derived ΔsolH° values and keeping internal consistency with the recently updated thermodynamic properties of Nd3+. The outcome of this study permits deriving a set of recommended internally consistent thermodynamic properties for the Nd aqueous species which improve thermodynamic modeling of REE mobilization in acidic NaCl-bearing aqueous fluids.
DOI: 10.17632/5hrxkgvyt6
title: Digifrac: Reconstruction and quantification of discrete fractures in rocks using micro-CT images

description: Fractures in rock masses are a central focus in research areas such as unconventional energy extraction, nuclear waste disposal, and carbon sequestration. Laboratory investigations of fracture parameters are essential for optimizing field operations. In recent years, CT scanning has emerged as a widely adopted non-destructive inspection technique. However, existing methods for post-processing CT scan data face persistent challenges in achieving high accuracy and efficiency. To address these challenges, we propose a novel Python-based post-processing framework that integrates a slice-by-slice thinning algorithm, local thickness computation, and point cloud data processing techniques. This framework enables precise characterization of fractured digital rocks by quantifying fracture width distribution and fracture surface orientation, alongside standard structural evaluation metrics such as the fractal dimension, volume ratio, and the H-index. Its feasibility, accuracy, and flexibility are validated through analyses of diverse fracturing samples, including fluid-fractured samples, shear-induced fracture samples, and samples containing multiple secondary fractures.
DOI: 10.17632/5hrxkgvyt6.1
title: Digifrac: Reconstruction and quantification of discrete fractures in rocks using micro-CT images

description: Fractures in rock masses are a central focus in research areas such as unconventional energy extraction, nuclear waste disposal, and carbon sequestration. Laboratory investigations of fracture parameters are essential for optimizing field operations. In recent years, CT scanning has emerged as a widely adopted non-destructive inspection technique. However, existing methods for post-processing CT scan data face persistent challenges in achieving high accuracy and efficiency. To address these challenges, we propose a novel Python-based post-processing framework that integrates a slice-by-slice thinning algorithm, local thickness computation, and point cloud data processing techniques. This framework enables precise characterization of fractured digital rocks by quantifying fracture width distribution and fracture surface orientation, alongside standard structural evaluation metrics such as the fractal dimension, volume ratio, and the H-index. Its feasibility, accuracy, and flexibility are validated through analyses of diverse fracturing samples, including fluid-fractured samples, shear-induced fracture samples, and samples containing multiple secondary fractures.
DOI: 10.15468/dl.td9crb
title: Occurrence Download

description: A dataset containing 2241078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Dryocopus pileatus)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2241078 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046051-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.