cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21954/ou.rd.29995075
title: REDEFINE (UK): Interview with the former senior economic advisor P33 of local government

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised interview transcript presents a semi-structured interview conducted with the former senior economic advisor P33 of local government. The conversation contributes to REDEFINE’s case study of ABP’s investment in Royal Albert Dock. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.29995075.v1
title: REDEFINE (UK): Interview with the former senior economic advisor P33 of local government

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised interview transcript presents a semi-structured interview conducted with the former senior economic advisor P33 of local government. The conversation contributes to REDEFINE’s case study of ABP’s investment in Royal Albert Dock. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.29995036
title: REDEFINE (UK): Interview with the former British diplomat P32

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised interview transcript presents a semi-structured interview conducted with a former British diplomat P32. The conversation contributes to REDEFINE’s case study of ABP’s investment in Royal Albert Dock. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.21954/ou.rd.29995036.v1
title: REDEFINE (UK): Interview with the former British diplomat P32

description: This document forms part of the REDEFINE research project (ERC Grant No. 885475), funded by the European Research Council. REDEFINE focuses on the dynamics and effects of China’s large-scale infrastructure investments in Europe, with a focus on Germany, Greece, Hungary, and the UK. Through multi-sited fieldwork and interdisciplinary analysis, the project seeks to understand the evolving relations between China and Europe and to assess what this means for politics, economic growth and development more broadly.This anonymised interview transcript presents a semi-structured interview conducted with a former British diplomat P32. The conversation contributes to REDEFINE’s case study of ABP’s investment in Royal Albert Dock. All identifying details have been removed, and informed consent for participation and data use was obtained.
DOI: 10.15468/dl.9zy5xm
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Amphibians and Reptiles in Protected Areas in Ilocos Norte Province, Luzon Island, Northern Philippines"
 ]
}

 The dataset includes 275 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006762-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxv3c2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis carnosus, Chiloglanis congicus, Chiloglanis deckenii, Chiloglanis devosi, Chiloglanis dialloi, Chiloglanis disneyi, Chiloglanis elisabethianus, Chiloglanis emarginatus, Chiloglanis fasciatus, Chiloglanis harbinger, Chiloglanis kabaensis, Chiloglanis kalambo, Chiloglanis kerioensis, Chiloglanis kolente, Chiloglanis lamottei, Chiloglanis loffabrevum, Chiloglanis longibarbis, Chiloglanis lufirae, Chiloglanis lukugae, Chiloglanis macropterus, Chiloglanis marlieri, Chiloglanis mbozi, Chiloglanis microps, Chiloglanis modjensis, Chiloglanis mongoensis, Chiloglanis neumanni, Chiloglanis niger, Chiloglanis niloticus, Chiloglanis normani, Chiloglanis nzerekore, Chiloglanis occidentalis, Chiloglanis paratus, Chiloglanis pezoldi, Chiloglanis pojeri, Chiloglanis polyodon, Chiloglanis polypogon, Chiloglanis pretoriae, Chiloglanis reticulatus, Chiloglanis rukwaensis, Chiloglanis ruziziensis, Chiloglanis sanagaensis, Chiloglanis sardinhai, Chiloglanis somereni, Chiloglanis swierstrai, Chiloglanis trilobatus, Chiloglanis tweddlei, Chiloglanis voltae, Chiloglanis waterloti, Chilotilapia euchilus, Chilotilapia rhoadesii, Chindongo ater, Chindongo bellicosus, Chindongo cyaneus, Chindongo demasoni, Chindongo flavus, Chindongo heteropictus, Maylandia heteropicta, Chindongo longior, Chindongo minutus, Chindongo saulosi, Chromidotilapia cavalliensis, Chromidotilapia elongata, Chromidotilapia guntheri, Chromidotilapia kingsleyae, Chromidotilapia linkei, Chromidotilapia mamonekenei, Chromidotilapia melaniae, Chromidotilapia mrac, Chromidotilapia nana, Chromidotilapia regani, Chromidotilapia schoutedeni, Chrysichthys aluuensis, Chrysichthys ansorgii, Chrysichthys auratus, Chrysichthys bocagii, Chrysichthys brachynema, Chrysichthys brevibarbis, Chrysichthys cranchii, Chrysichthys dageti, Chrysichthys delhezi, Chrysichthys dendrophorus, Chrysichthys duttoni, Chrysichthys furcatus, Chrysichthys nigrodigitatus, Chrysichthys grandis, Chrysichthys graueri, Chrysichthys habereri, Chrysichthys helicophagus, Chrysichthys hildae, Chrysichthys johnelsi, Chrysichthys laticeps, Chrysichthys levequei, Chrysichthys longibarbis, Chrysichthys longidorsalis, Chrysichthys longipinnis, Chrysichthys mabusi, Chrysichthys macropterus, Chrysichthys maurus, Chrysichthys nyongensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-10.6025 29.6545,-11.3716 29.0599,-7.8618 29.0599,-7.8618 34.0821,-8.7804 33.6886,-9.6416 32.8946,-9.7854 32.3021,-10.3184 31.5413,-10.3907 30.6396,-10.1682 30.2237,-10.6025 29.6545))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006764-250827131500795/datasets/export for details.
DOI: 10.15468/dl.xhdbfn
title: Occurrence Download

description: A dataset containing 26669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelecanus crispus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 26669 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006765-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2y3rzn
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "OccurrenceStatus is Present",
 "TaxonKey is Onthophagus uniformis"
 ]
}

 The dataset includes 95 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006766-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hpbs5
title: Occurrence Download

description: A dataset containing 615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pycnonotus jocosus",
 "Country is Malaysia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 615 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006768-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7e9dt
title: Occurrence Download

description: A dataset containing 31060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "Geometry POLYGON((-25 70, 40 70, 40 35, -25 35, -25 70))"
 ]
}

 The dataset includes 31060 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006767-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzwndw
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Pakistan, Bhutan, Nepal, Afghanistan)",
 "Geometry POLYGON((96.41044 29.88817,94.41053 30.71851,89.92548 30.12986,83.71418 31.71528,82.08257 32.21565,79.10668 36.25718,75.17743 37.17404,71.49864 36.57423,73.25909 34.75717,73.23731 34.62027,73.32599 34.26091,73.80358 34.1349,73.88759 33.93422,73.98219 33.59626,74.0662 33.39558,74.01019 33.15911,74.40845 32.95999,74.80359 32.99732,74.74758 32.90243,75.14273 32.50417,75.60943 32.41083,75.73856 31.93323,76.11192 31.3623,76.53973 30.9796,76.90781 30.74946,77.54408 30.33098,78.14387 30.30538,78.40833 30.10626,78.97149 29.37975,79.06639 29.34242,79.24063 29.24285,79.55643 28.81815,80.13798 28.33372,80.51691 28.06255,80.65424 28.22768,80.97929 28.39108,81.24698 28.0469,81.3252 27.89046,81.39299 27.90958,81.43471 27.99823,82.74541 27.53594,83.08969 27.61188,83.68713 27.5815,83.97573 27.32329,84.16965 27.23946,84.57823 27.29291,85.33769 27.00432,85.99589 26.89799,86.46675 26.66509,86.79079 26.58408,87.21102 26.67522,87.80016 26.63934,88.14769 26.5132,88.71981 26.61952,89.38307 26.49295,89.92989 26.12334,90.15266 26.38156,90.19823 26.56889,91.04882 26.62459,91.85067 26.84805,92.87847 26.7316,93.74425 26.99995,97.72177 28.56164,96.41044 29.88817))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Cannabis sativa"
 ]
}

 The dataset includes 442 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006770-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7u7pf
title: Occurrence Download

description: A dataset containing 2240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pycnonotus jocosus",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2240 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006769-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pr3xd
title: Occurrence Download

description: A dataset containing 411303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Centaurea jacea",
 "Year 1957-2022"
 ]
}

 The dataset includes 411303 records from 1698 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006713-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15597326
title: ЗНАЧЕНИЕ 3D МОДЕЛИРОВАНИЯ И ТЕХНОЛОГИЙ ПРОЕКТИРОВАНИЯ В ПРЕПОДАВАНИИ ДИСЦИПЛИНЫ «ОСНОВНЫЕ ТЕХНОЛОГИЧЕСКИЕ ПРОЦЕССЫ И УСТРОЙСТВА»
DOI: 10.5281/zenodo.15597327
title: ЗНАЧЕНИЕ 3D МОДЕЛИРОВАНИЯ И ТЕХНОЛОГИЙ ПРОЕКТИРОВАНИЯ В ПРЕПОДАВАНИИ ДИСЦИПЛИНЫ «ОСНОВНЫЕ ТЕХНОЛОГИЧЕСКИЕ ПРОЦЕССЫ И УСТРОЙСТВА»
DOI: 10.15468/dl.cwyrq3
title: Occurrence Download

description: A dataset containing 1106453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pycnonotus goiavier (Scopoli, 1786), Pycnonotus jocosus (Linnaeus, 1758), Pycnonotus leucogenys (J.E.Gray, 1835), Pycnonotus sinensis (Gmelin, 1789), Pycnonotus taivanus Styan, 1893, Pycnonotus xanthorrhous Anderson, 1869, Pycnonotus flaviventris (Tickell, 1833), Spizixos canifrons Blyth, 1845, Spizixos semitorques Swinhoe, 1861, Regulus goodfellowi Ogilvie-Grant, 1906, Regulus regulus (Linnaeus, 1758), Remiz consobrinus (Swinhoe, 1870), Remiz coronatus (Severtzov, 1873), Remiz macronyx (Severtzov, 1873), Rhipidura albicollis (Vieillot, 1818), Rhipidura aureola Lesson, 1831, Rhipidura nigritorquis Vigors, 1831, Abroscopus albogularis (Moore, 1854), Abroscopus schisticeps (J.E.Gray & G.R.Gray, 1847), Abroscopus superciliaris (Blyth, 1859), Cettia brunnifrons (Hodgson, 1845), Cettia castaneocoronata (Burton, 1836), Cettia cetti (Temminck, 1820), Cettia major (Moore, 1854), Urosphena pallidipes (Blanford, 1872), Horornis acanthizoides (J.Verreaux, 1870), Horornis brunnescens (Hume, 1872), Horornis diphone (Kittlitz, 1830), Horornis diphone (Kittlitz, 1830), Horornis flavolivaceus (Blyth, 1845))",
 "Geometry POLYGON((73.5208333 16.6625,135.0791667 16.6625,135.0791667 53.5541667,73.5208333 53.5541667,73.5208333 16.6625))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)"
 ]
}

 The dataset includes 1106453 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021464-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16963986
title: Microbiome Datahub MAG dataset

description: The Microbiome Datahub is a database of metagenome-assembled genomes (MAGs) and currently contains 214,427 MAGs. https://mdatahub.org . This Excel file summarizes the metadata of these MAGs.
DOI: 10.5281/zenodo.16895062
title: Arabidopsis tissue- and perturbation-specific gene expression resource

description: A prerequisite to understanding how an organism functions and responds to its environment is to determine which gene expression patterns are associated with a specific tissue type or perturbation response. Neural network-based methods can provide subsets of highly informative genes for such associations. Here, we propose that integrating prior molecular knowledge related to gene expression within deep neural networks can lead to improved identification of tissue and perturbation-related gene sets. We first construct an Arabidopsis tissue- and perturbation-specific gene expression resource from published data, and address batch effects by implementing and evaluating several approaches, including Conditional Variational Autoencoders. We then incorporate prior published molecular knowledge on protein-DNA and protein-protein interactions as additional model layers, training the models to classify tissue types and perturbation groups according to input gene expression patterns. Although knowledge graph-based models achieve similar classification performance as baseline models, the analysis of model explainability demonstrates that they outperform the baseline models by prioritising biologically relevant genes. The identified genes are shown to be related to the specific tissue types and molecular processes following the particular perturbations. Our results demonstrate the applicability and reliability improvements of knowledge graph-primed deep learning for identifying condition-specific genes and gene sets.
DOI: 10.15468/dl.s8sucn
title: Occurrence Download

description: A dataset listing the 826015 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, North America, Asia)",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset's 826015 records were derived from 33181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050179-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15591733
title: PHRASEOLOGY AS A SUBJECT OF LINGUISTIC RESEARCH
DOI: 10.5281/zenodo.15591734
title: PHRASEOLOGY AS A SUBJECT OF LINGUISTIC RESEARCH
DOI: 10.2908/tin00170
title: Business demography main variables - NACE Rev. 2 (B-N excluding K64.2)
title: Principales variables sur la démographie des entreprises - NACE Rév. 2 (B-N excepté K64.2)
title: Wichtigste Variablen der Unternehmensdemografie - NACE Rev. 2 (B-N ohne K64.2)

description: Die Unternehmensdemografie enthält Informationen zu den Merkmalen und zur Demografie der Gesamtheit aller Unternehmen. Die Kategorie stellt die wichtigsten Variablen dar, wie Unternehmensgründungen (oft als ‚Unternehmenseintritte‘ bezeichnet), Unternehmensschließungen (oft als ‚Unternehmensaustritte‘ bezeichnet) und Unternehmen, die überlebt haben. Unternehmen, die ausschließlich aufgrund von z.B. Umstrukturierungen, Fusionen oder Auflösungen entstanden oder geschlossen worden sind, sind in diesen Daten nicht enthalten. Die Informationen beziehen sich auf die gewerbliche Wirtschaft und decken die Abschnitte B bis N (ohne Tätigkeiten von Holdinggesellschaften – K64.2) gemäß NACE Rev. 2 ab.
description: Business demography contains information about the characteristics and demography of the business population. The category presents main variables, such as enterprise births (often referred to as business entries), enterprise deaths (often referred to as business exits), and enterprise survivals. Enterprises created or closed solely as a result of e.g. restructuring, merger or break-up are not included in this data. Information refers to the business economy, covering sections B to N (excluding activities of holding companies – K64.2) according to NACE Rev. 2.
description: La démographie des entreprises contient des informations sur les caractéristiques et la démographie de la population des entreprises. La catégorie présente les Indicateurs principaux, telles que les créations d'entreprises (souvent appelées ‘entrées d'entreprises’), les disparitions d'entreprises (souvent appelées ‘sorties d'entreprises’) et la survie des entreprises. Entreprises créées ou fermées uniquement en raison des restructurations, fusions ou scissions, par exemple, ne sont pas incluses dans ces données. Les informations se réfèrent à l'économie marchande, couvrant les sections B à N (hors activités des sociétés d'investissements – K64.2) selon la NACE Rév. 2.
DOI: 10.15468/dl.x9mhya
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.08065 42.97551,-8.69296 41.83091,-8.1022 42.03399,-7.04991 42.44013,-7.03145 42.77243,-9.08065 42.97551))",
 "TaxonKey is Atyaephyra desmarestii (Millet, 1831)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019782-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15433419
title: Model and reanalysis temperature data and extreme indices for paper "European heat extremes under net-zero emissions"

description: NetCDF files used in paper "European heat extremes under net-zero emissions" (in review)

These data have been preprocessed on Gadi, NCI's HPC system, using the process.ipynb notebook on the GitHub repository. Due to data size limitations, some of the files used for figures in the Appendix are not uploaded, but all those variables can be calculated with data hosted on the Australian ESGF node (for ACCESS-ESM-1.5 data) or on the Climate Data Store of the Copernicus Climate Change Service (for ERA5 reanalysis data).

The data_netzero_EuHeatExtremes.zip includes the following directories:



TXx_sta: TXx monthly and yearly index calculated on ACCESS-ESM-1.5 net-zero 1000-year-long simulations (King et al., 2024)

TXx_cmip6: TXx yearly index calculated on ACCESS-ESM-1.5 historical and SSP5-8.5 ensembles (Ziehn et al., 2020)

TXx_era5: TXx yearly index calculated on ERA5 reanalysis data (Hersbach et al., 2020)

TX90p_sta: TX90p yearly index calculated on ACCESS-ESM-1.5 net-zero 1000-year-long simulations (King et al., 2024)

SAT_sta: yearly SAT data from ACCESS-ESM-1.5 net-zero 1000-year-long simulations (King et al., 2024)




 

References:

 





Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., … Thépaut, J.-N. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049. https://doi.org/10.1002/qj.3803

 



King, A. D., Ziehn, T., Chamberlain, M., Borowiak, A. R., Brown, J. R., Cassidy, L., Dittus, A. J., Grose, M., Maher, N., Paik, S., Perkins-Kirkpatrick, S. E., & Sengupta, A. (2024). Exploring climate stabilisation at different global warming levels in ACCESS-ESM-1.5. Earth System Dynamics, 15(5), 1353–1383. https://doi.org/10.5194/esd-15-1353-2024


Ziehn, T., Chamberlain, M. A., Law, R. M., Lenton, A., Bodman, R. W., Dix, M., Stevens, L., Wang, Y.-P., & Srbinovsky, J. (2020). The Australian Earth System Model: ACCESS-ESM1.5. Journal of Southern Hemisphere Earth Systems Science, 70(1), 193–214. https://doi.org/10.1071/ES19035