cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-2223369467
title: Operando simultaneous SAXS/WAXS experiment on piezoelectric P(VDF-TrFE) devices as a function of electric field

description: The proposal is about the polyvinylidene fluoride-trifluoroethylene (P(VDF-TrFE)), which is a polymer widely used in flexible energy:
harvesting, sensors, and actuators. The ferroelectric and piezoelectric P(VDF-TrFE) properties are favored through annealing and poling, i.e.
the first electric field application. The poling process is a key point for converting the material from paraelectric to ferroelectric. The structure
of P(VDF-TrFE) involves crystalline and ordered amorphous (OA) domains, which are determinant for its piezoelectric behavior. The proposed
experiment aims to study the structure of these domains. The study will use operando Wide Angle X-ray Scattering (WAXS) and Small Angle
X-ray Scattering (SAXS) to analyze the crystalline and amorphous domains as a function of applied electric field. The results aim to provide
significant insights into improving piezoelectric devices.
DOI: 10.34810/data1618
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Shangri-la county, China

description: Qualitative dataset of the Site 'Shangri-la county' collected by Zhuo Chen in China. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.5281/zenodo.17209119
title: Load-Dependent Power-Law Exponent in Creep Rupture of Heterogeneous Materials

description: Dataset containing experimental and numerical data (as well as Python scripts for data analysis and numerical simulations) on creep dynamics of heterogeneous materials, as presented in the article "Load-Dependent Power-Law Exponent in Creep Rupture of Heterogeneous Materials" by the same authors.
DOI: 10.5281/zenodo.17209150
title: Relationship between Altmetric.com channels and the fundamental pillars of Open Science

description: This file presents a table with a comprehensive mapping of eight main altmetric channels monitored by Altmetric.com, related to the fundamental pillars of Open Science, as recommended by UNESCO. The table is supplementary material to the abstract: Altmetric APIs and Open Science (OSC): Possibilities for Monitoring the Circulation of Scientific Production. Submitted for evaluation at the FOR 2026 Conference.
DOI: 10.5281/zenodo.17209151
title: Relationship between Altmetric.com channels and the fundamental pillars of Open Science

description: This file presents a table with a comprehensive mapping of eight main altmetric channels monitored by Altmetric.com, related to the fundamental pillars of Open Science, as recommended by UNESCO. The table is supplementary material to the abstract: Altmetric APIs and Open Science (OSC): Possibilities for Monitoring the Circulation of Scientific Production. Submitted for evaluation at the FOR 2026 Conference.
DOI: 10.15468/dl.xhjsyr
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcea setosa",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019688-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17209213
title: fdgdg

description: No description provided
DOI: 10.5281/zenodo.17209214
title: fdgdg

description: No description provided
DOI: 10.15468/dl.gbzpjh
title: Occurrence Download

description: A dataset containing 987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lampides boeticus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 987 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019690-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1619
title: Surveys dataset of Local Indicators of Climate Change Impacts in Shangri-la county, China

description: Quantitative dataset of the Site 'Shangri-la county' collected by Zhuo Chen in China. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.v5dd6r
title: Occurrence Download

description: A dataset containing 4 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 one of (Dendrobium fimbriatum oculatum)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019692-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3fbdk
title: Occurrence Download

description: A dataset containing 1088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Month is one of (October, November)",
 "TaxonKey is Narcissus",
 "Year 2004-2025"
 ]
}

 The dataset includes 1088 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019691-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptsp7v
title: Occurrence Download

description: A dataset listing the 90 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Algae"
 ]
}

 The dataset's 90 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019679-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1621
title: Qualitative dataset of Local Indicators of Climate Change Impacts in San Pablo Huitzo, Mexico

description: Qualitative dataset of the Site 'San Pablo Huitzo' collected by Mayra Vásquez in Mexico. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.48597/23mr-wu69
title: Measurement of Aerosol_absorption_coefficient at Monte Cimone

description: Measurement of Aerosol_absorption_coefficient at Monte Cimone
DOI: 10.34810/data1622
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Mafia Island, Tanzania, United Republic of

description: Qualitative dataset of the Site 'Mafia Island' collected by Fasco Chengula in Tanzania, United Republic of. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.48597/6uf6-dcqd
title: Measurement of Aerosol_absorption_coefficient at Monte Cimone

description: Measurement of Aerosol_absorption_coefficient at Monte Cimone
DOI: 10.48597/dhay-tunq
title: Measurement of Aerosol_absorption_coefficient at Monte Cimone

description: Measurement of Aerosol_absorption_coefficient at Monte Cimone
DOI: 10.15468/dl.uqsfzb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva verticillata",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019695-250920141307145/datasets/export for details.
DOI: 10.48597/tt3s-2a9d
title: Measurement of Aerosol_absorption_coefficient at Monte Cimone

description: Measurement of Aerosol_absorption_coefficient at Monte Cimone
DOI: 10.48597/8cmc-sgxr
title: Measurement of Aerosol_absorption_coefficient at Monte Cimone

description: Measurement of Aerosol_absorption_coefficient at Monte Cimone
DOI: 10.6084/m9.figshare.30219121
title: Unveiling the multifaceted benefits of <i>Bacillus cereus strain doms B16</i> for sustainable agriculture and crop productivity

description: The growing need for sustainable agricultural practices has prompted the exploration of microbial biotechnologies, specifically plant growth-promoting rhizobacteria (PGPR), as alternatives to chemical fertilizers and pesticides. This study focuses on <i>Bacillus cereus strain doms B16</i>, a newly isolated bacterium from the rhizosphere of black pepper plants. Our comprehensive evaluation revealed that strain B16 exhibits multiple beneficial traits such as phosphate solubilization, nitrogen fixation, siderophore production, and the synthesis of indole-3-acetic acid (IAA), which are pivotal for enhancing plant growth. The results from pot experiments show that B16 significantly improves growth parameters in mustard, green gram, and bengal gram, confirming its potential to contribute to eco-friendly agricultural practices. The strain’s robustness in salt stress conditions and its ability to form biofilms further affirm its potential as a biofertilizer. These findings underscore the significance of <i>Bacillus cereus strain doms B16</i> in promoting sustainable agriculture through enhanced plant health and productivity, presenting a viable, eco-friendly alternative to conventional agricultural inputs. This study is the first to report the isolation of <i>Bacillus cereus strain doms</i> B16 from the rhizosphere of black pepper, exhibiting both plant growth-promoting traits and salt tolerance. The strain demonstrated significant growth promotion in multiple crops, including mustard, green gram, and bengal gram, highlighting its potential application in sustainable agriculture. Its ability to form biofilms and tolerate saline conditions suggests its suitability for use in diverse environmental settings.
DOI: 10.6084/m9.figshare.30219121.v1
title: Unveiling the multifaceted benefits of <i>Bacillus cereus strain doms B16</i> for sustainable agriculture and crop productivity

description: The growing need for sustainable agricultural practices has prompted the exploration of microbial biotechnologies, specifically plant growth-promoting rhizobacteria (PGPR), as alternatives to chemical fertilizers and pesticides. This study focuses on <i>Bacillus cereus strain doms B16</i>, a newly isolated bacterium from the rhizosphere of black pepper plants. Our comprehensive evaluation revealed that strain B16 exhibits multiple beneficial traits such as phosphate solubilization, nitrogen fixation, siderophore production, and the synthesis of indole-3-acetic acid (IAA), which are pivotal for enhancing plant growth. The results from pot experiments show that B16 significantly improves growth parameters in mustard, green gram, and bengal gram, confirming its potential to contribute to eco-friendly agricultural practices. The strain’s robustness in salt stress conditions and its ability to form biofilms further affirm its potential as a biofertilizer. These findings underscore the significance of <i>Bacillus cereus strain doms B16</i> in promoting sustainable agriculture through enhanced plant health and productivity, presenting a viable, eco-friendly alternative to conventional agricultural inputs. This study is the first to report the isolation of <i>Bacillus cereus strain doms</i> B16 from the rhizosphere of black pepper, exhibiting both plant growth-promoting traits and salt tolerance. The strain demonstrated significant growth promotion in multiple crops, including mustard, green gram, and bengal gram, highlighting its potential application in sustainable agriculture. Its ability to form biofilms and tolerate saline conditions suggests its suitability for use in diverse environmental settings.
DOI: 10.48597/5p7n-kx5e
title: Measurement of Aerosol_absorption_coefficient at Monte Cimone

description: Measurement of Aerosol_absorption_coefficient at Monte Cimone
DOI: 10.15468/dl.9jvazs
title: Occurrence Download

description: A dataset containing 477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptotes plinius",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 477 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019697-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdpvnk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva verticillata",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019694-250920141307145/datasets/export for details.
DOI: 10.15468/dl.q8hy9d
title: Occurrence Download

description: A dataset containing 1085 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 one of (Dendrobium kingianum)"
 ]
}

 The dataset includes 1085 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019698-250920141307145/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.30219126
title: Testing the impacts on inefficiency in a semiparametric stochastic frontier model

description: This article is concerned with the significance testing of the effects of exogenous determinants upon the one-sided deviation term of a semiparametric stochastic frontier model. Two significance tests for all or a subset of the determinants of inefficiency are proposed. The tests are based on conditional moment restrictions and stochastic processes, with critical values simulated using the computationally fast multiplier bootstrap procedures. Our testing methodology addresses the omitted variable bias that arises naturally in stochastic frontier models when accommodating the determinants of inefficiency and accounts for the estimation effects that appear when using the estimated composite error in constructing the test statistics. We investigate the theoretical properties of the proposed tests and justify the validity of the multiplier bootstrap procedures. The tests are finally illustrated through simulation experiments and two empirical examples. In particular, the analysis from Taiwanese manufacturing supports the financing constraint hypothesis through the significant effect of cash flow, while the analysis from Indian rice production highlights the importance of schooling and farming experience in reducing farm inefficiency.
DOI: 10.6084/m9.figshare.30219126.v1
title: Testing the impacts on inefficiency in a semiparametric stochastic frontier model

description: This article is concerned with the significance testing of the effects of exogenous determinants upon the one-sided deviation term of a semiparametric stochastic frontier model. Two significance tests for all or a subset of the determinants of inefficiency are proposed. The tests are based on conditional moment restrictions and stochastic processes, with critical values simulated using the computationally fast multiplier bootstrap procedures. Our testing methodology addresses the omitted variable bias that arises naturally in stochastic frontier models when accommodating the determinants of inefficiency and accounts for the estimation effects that appear when using the estimated composite error in constructing the test statistics. We investigate the theoretical properties of the proposed tests and justify the validity of the multiplier bootstrap procedures. The tests are finally illustrated through simulation experiments and two empirical examples. In particular, the analysis from Taiwanese manufacturing supports the financing constraint hypothesis through the significant effect of cash flow, while the analysis from Indian rice production highlights the importance of schooling and farming experience in reducing farm inefficiency.
DOI: 10.15468/dl.nxzawy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva verticillata",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019696-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.30219127
title: Spatial weights matrix selection and model averaging for multivariate spatial autoregressive models

description: In this article, we focus on the model specification problem in multivariate spatial econometric models when a candidate set for the spatial weights matrix is available. We propose a model selection method for the multivariate spatial autoregressive model when the true spatial weights matrix may not be in the candidates. We show that the selected estimator is asymptotically optimal in the sense of minimizing the squared loss. If the candidate set contains the true spatial weights matrix, the method has selection consistency. We further propose a model averaging estimator that combines a set of candidate models and show its asymptotic optimality. Monte Carlo simulation results indicate that the proposed model selection and model averaging estimators perform quite well in finite samples. The proposed methods are applied to a Sina Weibo data to reveal how the user’s posting behavior is influenced by the users that he follows. The analysis results indicate that the influence tends to be uniformly distributed among the user’s followee, or linearly correlated with the number of followers of the followee.
DOI: 10.6084/m9.figshare.30219127.v1
title: Spatial weights matrix selection and model averaging for multivariate spatial autoregressive models

description: In this article, we focus on the model specification problem in multivariate spatial econometric models when a candidate set for the spatial weights matrix is available. We propose a model selection method for the multivariate spatial autoregressive model when the true spatial weights matrix may not be in the candidates. We show that the selected estimator is asymptotically optimal in the sense of minimizing the squared loss. If the candidate set contains the true spatial weights matrix, the method has selection consistency. We further propose a model averaging estimator that combines a set of candidate models and show its asymptotic optimality. Monte Carlo simulation results indicate that the proposed model selection and model averaging estimators perform quite well in finite samples. The proposed methods are applied to a Sina Weibo data to reveal how the user’s posting behavior is influenced by the users that he follows. The analysis results indicate that the influence tends to be uniformly distributed among the user’s followee, or linearly correlated with the number of followers of the followee.
DOI: 10.6084/m9.figshare.30219025
title: Warming modulates the effect of consumers on ecosystem stability; Data and script

description: Climate warming is impacting stability across diverse ecosystems but our understanding of the involved mechanisms, specifically the possibility of interactive effects with other stability drivers, is still limited. By conducting a 5-year-long field experiment investigating if warming and rodent herbivores jointly influence salt marsh functional and compositional stability, we show that both herbivory and warming individually decreases functional stability. While herbivory decreases ecosystem stability by affecting the stability of the dominant species, warming alters it by shifting stability control mechanism from species dominance to species asynchrony, thus causing a synergistic interaction with herbivory and breaking the otherwise positive relationship between functional and compositional stability. Our findings highlight that warming can shift the importance of stabilizing mechanisms, decoupling ecosystem stability from other biological drivers and increasing its dimensionality. Understanding how drivers of global change may interact is critical to anticipating change and managing natural ecosystems in an increasingly anthropogenic world.
DOI: 10.6084/m9.figshare.30219025.v1
title: Warming modulates the effect of consumers on ecosystem stability; Data and script

description: Climate warming is impacting stability across diverse ecosystems but our understanding of the involved mechanisms, specifically the possibility of interactive effects with other stability drivers, is still limited. By conducting a 5-year-long field experiment investigating if warming and rodent herbivores jointly influence salt marsh functional and compositional stability, we show that both herbivory and warming individually decreases functional stability. While herbivory decreases ecosystem stability by affecting the stability of the dominant species, warming alters it by shifting stability control mechanism from species dominance to species asynchrony, thus causing a synergistic interaction with herbivory and breaking the otherwise positive relationship between functional and compositional stability. Our findings highlight that warming can shift the importance of stabilizing mechanisms, decoupling ecosystem stability from other biological drivers and increasing its dimensionality. Understanding how drivers of global change may interact is critical to anticipating change and managing natural ecosystems in an increasingly anthropogenic world.