cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26943757.v2
title: <b>Embracing plant-plant interactions - rethinking predictions of species range shifts</b>

description: R code and plant demogrpahic associated to the worked example presented in the review article '<b>Embracing plant-plant interactions - rethinking the prediction of species range shifts</b>' published in the 4th Grime review series of Journal of Ecology.When using plant demographic data, please also refer to the research article "Sanczuk, P., De Pauw, K., De Lombaerde, E. <i>et al.</i> Microclimate and forest density drive plant population dynamics under climate change. <i>Nat. Clim. Chang.</i> <b>13</b>, 840–847 (2023). https://doi.org/10.1038/s41558-023-01744-y" as they provide the source data underlying the worked example.<br><b>Abstract</b>1. Interactions among plants are changing across the globe resulting from a multitude of changes in the environment. Obtaining accurate predictions of plant species’ range dynamics require us to account for plant-plant interactions, but this remains challenging using the existing species distribution modelling (SDM) techniques.2. Advanced SDM techniques facilitate the integration of plant species interactions based on species-to-species associations. However, for uncharted environmental conditions in which the formerly derived species’ correlations potentially no longer hold, a more process-based alternative is expected to become increasingly relevant.3. We first review the most common SDM techniques that integrate plant-plant interactions, and then present the concept for a novel map product: a spatial Plant-plant Interaction Index (PII) depicting the link between a focal species’ performance and the trait signature of the interacting vegetation. The latest developments in remote sensing and the increasing availability of vegetation plot data facilitate PII mapping based on vegetation trait-environment relationships.<i>4.</i><i> </i><b><i>Synthesis</i></b><i> </i>PII mapping holds the potential to advance next-generation biogeographical analyses as it can serve as a pivotal missing covariate layer necessary for the integration of plant-plant interactions into SDM applications. This data product adds flexibility to the ecologists’ toolbox to analyze species range shifts and the formation of novel communities as a response to multiple environmental changes.
DOI: 10.3886/e163121v1-156524
title: Data and Code for: Electoral Cycles in Macroprudential Regulation

description: Do politics matter for macroprudential policies? I show that changes in macroprudential regulation exhibit a predictable electoral cycle in the run-up to 221 elections across 58 countries from 2000 through 2014. Policies restricting mortgages and consumer credit are systematically looser before elections, particularly during economic expansions. Consistent with theories of opportunistic political cycles, this pattern is stronger when election outcomes are uncertain, regulators are closely tied to politicians, and institutions are poor. These results suggest that political pressures may limit the ability of regulators to“lean against the wind.”
DOI: 10.18712/nsd-nsd3024-v5
title: Kirkelig årsstatistikk – nøkkeltall

description: Nøkkeltall består av utvalgte variabler fra årsstatistikken. Verdiene er regnet om etter gjeldende soknestruktur for å kunne lage tidslinjer.

Versjon 5.0:
 - Oppdatert for 2023

Versjon 4.0:
 - Oppdatert for 2022

Versjon 3.1:
 - Fjernet variabelgruppereferanser til avskaffede, nå ikke-eksisterende, variabler rundt tilhørige.

Versjon 3.0:
 - Oppdatert for 2021

Versjon 2.2:
 - Classification Level for Utmeldinger er rettet fra Ratio til Continous for å se hvordan det påvirker gyldigheten.

Versjon 2.1:
 - Oppdaterte variabelreferanser i variabelgruppen.

Versjon 2:
 - Også i datafilen har variabler fått labels.

Versjon 1.1:
 - Forsøk på feilretting. Variabler har fått labels.

Versjon 1:
 - 1998-2020
DOI: 10.15468/dl.ky97qm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polygonum jucundum Meisn., Polygonum jucundum Meisn., Polygonum jucundum Diels, Polygonum jucundum Meisn., Polygonum jucundum Meisn., Polygonum jucundum Meisn., Polygonum jucundum Meisn., Polygonum jucundum Diels, Polygonum jucundum Diels, Polygonum jucundum Diels, Polygonum jucundum Diels, Polygonum jucundum Meisn., Polygonum jucundum Meisn., 1826, Polygonum jucundum Diels, 1912, Polygonum hangchouense Matsuda, Persicaria jucunda (Meisn.) Migo)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117345-240626123714530/datasets/export for details.
DOI: 10.34740/kaggle/dsv/9325531
title: network-anomaly-dataset
DOI: 10.34740/kaggle/dsv/9325671
title: World Weather Repository ( Daily Updating )
DOI: 10.3886/e163121v1-156525
title: Data and Code for: Electoral Cycles in Macroprudential Regulation

description: Do politics matter for macroprudential policies? I show that changes in macroprudential regulation exhibit a predictable electoral cycle in the run-up to 221 elections across 58 countries from 2000 through 2014. Policies restricting mortgages and consumer credit are systematically looser before elections, particularly during economic expansions. Consistent with theories of opportunistic political cycles, this pattern is stronger when election outcomes are uncertain, regulators are closely tied to politicians, and institutions are poor. These results suggest that political pressures may limit the ability of regulators to“lean against the wind.”
DOI: 10.15468/dl.7bg4u2
title: Occurrence Download

description: A dataset containing 7350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Continent is Europe",
 "TaxonKey is Culex pipiens Linnaeus, 1758"
 ]
}

 The dataset includes 7350 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117347-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzcby4
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreo de la ocupación del Oso de anteojos (Tremarctos ornatus) en el Parque Nacional Natural Puracé para 2016"
 ]
}

 The dataset includes 62 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117348-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3nx38s
title: Occurrence Download

description: A dataset containing 18476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is BEL.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Odonata, Lepidoptera)"
 ]
}

 The dataset includes 18476 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117349-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpd2gn
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Argentina",
 "TaxonKey is Croton laureltyanus Ahumada"
 ]
}

 The dataset includes 69 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117350-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s94zwv
title: Occurrence Download

description: A dataset containing 255738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.80329 43.52829,3.97709 43.52829,3.97709 43.63461,3.80329 43.63461,3.80329 43.52829))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aves, Amphibia, Squamata, Testudinidae, Plantae, Insecta, Mammalia)",
 "Year 2014-2024"
 ]
}

 The dataset includes 255738 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117346-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13692498
title: Essential role of N-terminal SAM regions in STIM1 multimerization and function dataset

description: The single-pass transmembrane protein Stromal Interaction Molecule 1 (STIM1), located in the endoplasmic reticulum (ER) membrane, possesses two main functions:It senses the ER-Ca2+ concentration and directly binds to the store-operated Ca2+ channel Orai1 for its activation when Ca2+ recedes. At high resting ER-Ca2+ concentration, the ER-luminal STIM1 domain is kept monomeric but undergoes di/multimerization once stores are depleted. Luminal STIM1 multimerization is essential to unleash the STIM C-terminal binding site for Orai1 channels. However, structural basis of the luminal association sites has so far been elusive. Here, we employed molecular dynamics (MD) simulations and identified two essential di/multimerization segments, the α7 and the adjacent region near the α9-helix in the sterile alpha motif (SAM) domain. Based on MD results, we targeted the two STIM1 SAM domains by engineering point mutations. These mutations interfered with higher-order multimerization of ER-luminal fragments in biochemical assays and puncta formation in live-cell experiments upon Ca2+ store depletion. The STIM1 multimerization impeded mutants significantly reduced Ca2+ entry via Orai1, decreasing the Ca2+ oscillation frequency as well as store-operated Ca2+ entry. Combination of the ER- luminal STIM1 multimerization mutations with gain of function mutations and coexpression of Orai1 partially ameliorated functional defects. Our data point to a hydrophobicity-driven binding within the ER-luminal STIM1 multimer that needs to switch between resting monomeric and activated multimeric state. Altogether, these data reveal that interactions between SAM domains of STIM1 monomers are critical for multimerization and activation of the protein.
DOI: 10.5281/zenodo.13692499
title: Essential role of N-terminal SAM regions in STIM1 multimerization and function dataset

description: The single-pass transmembrane protein Stromal Interaction Molecule 1 (STIM1), located in the endoplasmic reticulum (ER) membrane, possesses two main functions:It senses the ER-Ca2+ concentration and directly binds to the store-operated Ca2+ channel Orai1 for its activation when Ca2+ recedes. At high resting ER-Ca2+ concentration, the ER-luminal STIM1 domain is kept monomeric but undergoes di/multimerization once stores are depleted. Luminal STIM1 multimerization is essential to unleash the STIM C-terminal binding site for Orai1 channels. However, structural basis of the luminal association sites has so far been elusive. Here, we employed molecular dynamics (MD) simulations and identified two essential di/multimerization segments, the α7 and the adjacent region near the α9-helix in the sterile alpha motif (SAM) domain. Based on MD results, we targeted the two STIM1 SAM domains by engineering point mutations. These mutations interfered with higher-order multimerization of ER-luminal fragments in biochemical assays and puncta formation in live-cell experiments upon Ca2+ store depletion. The STIM1 multimerization impeded mutants significantly reduced Ca2+ entry via Orai1, decreasing the Ca2+ oscillation frequency as well as store-operated Ca2+ entry. Combination of the ER- luminal STIM1 multimerization mutations with gain of function mutations and coexpression of Orai1 partially ameliorated functional defects. Our data point to a hydrophobicity-driven binding within the ER-luminal STIM1 multimer that needs to switch between resting monomeric and activated multimeric state. Altogether, these data reveal that interactions between SAM domains of STIM1 monomers are critical for multimerization and activation of the protein.
DOI: 10.5281/zenodo.13685315
title: Porcelain process raw videos frontal part2

description: Porcelain process raw videos frontal part2
DOI: 10.5281/zenodo.13685316
title: Porcelain process raw videos frontal part2

description: Porcelain process raw videos frontal part2
DOI: 10.5281/zenodo.13692624
title: Google-Naver Dataset
DOI: 10.5281/zenodo.13692625
title: Google-Naver Dataset
DOI: 10.5281/zenodo.13618455
title: Faraday Synthetic Data Outputs

description: This dataset contains 10 million synthetic load profiles of trained on over 300M smart meter readings from 20K Octopus Energy UK households sampled between 2021 and 2022, and is conditioned on labels such as the:





Property types: house, flat, terraced, detached, semi-detached etc




Energy performance certificate (EPC) rating: A/B/C, D/E, F/G etc




Low Carbon Technology (LCT) ownership: heat pumps, electric vehicles, solar PVs etc




Seasonality: days of the week and month of the year



 

For more information about Faraday, please refer to the workshop paper that Centre for Net Zero presented at ICLR 2024.  For more information about OpenSynth, please visit our Github repository https://github.com/OpenSynth-energy/OpenSynth. For more news and updates on OpenSynth, please subscribe to our mailing list here.
DOI: 10.5281/zenodo.13618456
title: Faraday Synthetic Data Outputs

description: This dataset contains 10 million synthetic load profiles of trained on over 300M smart meter readings from 20K Octopus Energy UK households sampled between 2021 and 2022, and is conditioned on labels such as the:





Property types: house, flat, terraced, detached, semi-detached etc




Energy performance certificate (EPC) rating: A/B/C, D/E, F/G etc




Low Carbon Technology (LCT) ownership: heat pumps, electric vehicles, solar PVs etc




Seasonality: days of the week and month of the year



 

For more information about Faraday, please refer to the workshop paper that Centre for Net Zero presented at ICLR 2024.  For more information about OpenSynth, please visit our Github repository https://github.com/OpenSynth-energy/OpenSynth. For more news and updates on OpenSynth, please subscribe to our mailing list here.
DOI: 10.15468/dl.edfwp5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Argentina",
 "TaxonKey is Croton santolinus Baill."
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117351-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14278/rodare.1846
title: HZDR Data Management Strategy — Top-Level Architecture

description: Top-Level Architecture of the proposed <strong>HZDR Data Management Strategy</strong> with additional description of the various systems and services.
DOI: 10.14278/rodare.193
title: HZDR Data Management Strategy — Top-Level Architecture

description: This data publication contains an overview to the <strong>Top-Level Architecture</strong> of the proposed <strong>HZDR Data Management Strategy</strong> with additional description of the various systems and services. 

The Helmholtz-Zentrum Dresden-Rossendorf (HZDR) pursues a comprehensive data management strategy that is designed as an architecture of services to describe and manage scientific experiments in a sustainable manner. This strategy is based on the FAIR principles and aims to ensure the findability, accessibility, interoperability and reusability of research data.<br>
The HZDR's comprehensive data lifecycle covers all phases of the data lifecycle: from planning and collection to analysis, storage, publication and archiving. Each phase is supported by specialised services and tools that help scientists to efficiently collect, store and share their data. These services include:


 Electronic lab notebook: for the digital recording and management of lab experiments and data.
 Data management plans (RDMO): For planning and organising data management during a research project.
 (Time Series) Databases: For structured storage and retrieval of research data.
 File systems: For storing and managing files in a controlled environment.
 Publication systems (ROBIS, RODARE): For the publication and accessibility of research data and results.
 Metadata catalogue (SciCat): For describing data in a wide variety of subsystems using searchable metadata
 Repositories (Helmholtz Codebase): For archiving, version control and provision of software, special data sets and workflows. 
  Proposal Management System (GATE): For the administration of project proposals and approvals.


The superordinate web service HELIPORT plays a central role here. HELIPORT acts as a gateway and connecting service that links all components of the Data Management Strategy and describes them in a sustainable manner. HELIPORT ensures standardised access to the various services and tools, which considerably simplifies collaboration and the exchange of data.
DOI: 10.14278/rodare.201
title: HZDR Data Management Strategy — Top-Level Architecture

description: Top-Level Architecture of the proposed HZDR Data Management Strategy
DOI: 10.14278/rodare.2162
title: HZDR Data Management Strategy — Top-Level Architecture

description: Top-Level Architecture of the proposed <strong>HZDR Data Management Strategy</strong> with additional description of the various systems and services.
DOI: 10.14278/rodare.2513
title: HZDR Data Management Strategy — Top-Level Architecture

description: This data publication contains an overview to the <strong>Top-Level Architecture</strong> of the proposed <strong>HZDR Data Management Strategy</strong> with additional description of the various systems and services. 

The Helmholtz-Zentrum Dresden-Rossendorf (HZDR) pursues a comprehensive data management strategy that is designed as an architecture of services to describe and manage scientific experiments in a sustainable manner. This strategy is based on the FAIR principles and aims to ensure the findability, accessibility, interoperability and reusability of research data.<br>
The HZDR's comprehensive data lifecycle covers all phases of the data lifecycle: from planning and collection to analysis, storage, publication and archiving. Each phase is supported by specialised services and tools that help scientists to efficiently collect, store and share their data. These services include:


 Electronic lab notebook: for the digital recording and management of lab experiments and data.
 Data management plans (RDMO): For planning and organising data management during a research project.
 (Time Series) Databases: For structured storage and retrieval of research data.
 File systems: For storing and managing files in a controlled environment.
 Publication systems (ROBIS, RODARE): For the publication and accessibility of research data and results.
 Metadata catalogue (SciCat): For describing data in a wide variety of subsystems using searchable metadata
 Repositories (Helmholtz Codebase): For archiving, version control and provision of software, special data sets and workflows. 
  Proposal Management System (GATE): For the administration of project proposals and approvals.


The superordinate web service HELIPORT plays a central role here. HELIPORT acts as a gateway and connecting service that links all components of the Data Management Strategy and describes them in a sustainable manner. HELIPORT ensures standardised access to the various services and tools, which considerably simplifies collaboration and the exchange of data.
DOI: 10.14278/rodare.252
title: HZDR Data Management Strategy — Top-Level Architecture

description: Top-Level Architecture of the proposed HZDR Data Management Strategy
DOI: 10.34740/kaggle/dsv/9325754
title: World Stock Prices ( Daily Updating )
DOI: 10.15468/dl.u8tczj
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is Philippines",
 "Geometry POLYGON((-241.26082 10.06795,-239.90306 10.06795,-239.90306 10.68626,-241.26082 10.68626,-241.26082 10.06795))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Begonia L.",
 "Year 2000-2024"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117352-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjt7r3
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Argentina",
 "TaxonKey is Cyathea atrovirens (Langsd. & Fisch.) Domin"
 ]
}

 The dataset includes 63 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117353-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.