cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14870349
title: Geochemistry of groundwaters from Cardiff, UK

description: This dataset contains the physicochemical parameters, ion concentrations and isotopic compositions (Si, Mg and Sr isotopes) of groundwater, river water, rainwater, tap water, thermal spring, rocks and estuarine water samples collected from Cardiff and Severn Estuary in the UK. Groundwater samples were collected from boreholes in Cardiff using a 1 L groundwater bailer, estuarine water samples were collected from surface (<2m) and at depth (~10m) at four sites along the Severn Estuary using  a 2.5 L Niskin bottle. Two rainwater samples were collected at Bristol (51°27'24.0"N, 2°36'09.6"W) and Cardiff(51°27'45.4"N, 003°10'46.9"W) , one thermal spring sample was collected from the Taffs Well in Cardiff (51°32'41.3"N, 003°16'16.8"W) and one tap water sample was obtained within the main building, Cardiff University, Cardiff (51°29'20.3"N, 3°10'47.3"W) .  Temperature, pH, salinity, dissolved oxygen and electrical conductivity of the water samples were  measured in the field using a Hach meter (Hach HQ40d portable meter), the salinities of the groundwater samples were examined using a hand-held salinity meter. Apart from the tap wate sample, all water samples were immediately filtered upon collection, using pre-cleaned 20 mm syringes and 0.22 μm filters (Sartorius Minisart® Syringe Filter, Polyethersulfone), and subsequently stored in acid-cleaned LDEP bottles. Subsamples for cation concentration and isotope analyses were acidified with in-house double-distilled hydrochloric acid (HCl) to pH around 2. Three fresh bedrock samples were collected from the outcrop at Penarth Head, Wales, UK (51°26'35.4"N, 003°09'55.9"W), including one red mudstone, one green mudstone and one evaporite (alabaster). One glacial gravel sample was obtained from 10 - 11m depth (top of aquifer) from the Observation OBS2 Borehole in the Marl Park, Cardiff, provided by the British Geological Survey. All the measurements of ion concentrations and isotope compositions of the samples were carried out at laboratories in the University of Bristol.
DOI: 10.5281/zenodo.14870350
title: Geochemistry of groundwaters from Cardiff, UK

description: This dataset contains the physicochemical parameters, ion concentrations and isotopic compositions (Si, Mg and Sr isotopes) of groundwater, river water, rainwater, tap water, thermal spring, rocks and estuarine water samples collected from Cardiff and Severn Estuary in the UK. Groundwater samples were collected from boreholes in Cardiff using a 1 L groundwater bailer, estuarine water samples were collected from surface (<2m) and at depth (~10m) at four sites along the Severn Estuary using  a 2.5 L Niskin bottle. Two rainwater samples were collected at Bristol (51°27'24.0"N, 2°36'09.6"W) and Cardiff(51°27'45.4"N, 003°10'46.9"W) , one thermal spring sample was collected from the Taffs Well in Cardiff (51°32'41.3"N, 003°16'16.8"W) and one tap water sample was obtained within the main building, Cardiff University, Cardiff (51°29'20.3"N, 3°10'47.3"W) .  Temperature, pH, salinity, dissolved oxygen and electrical conductivity of the water samples were  measured in the field using a Hach meter (Hach HQ40d portable meter), the salinities of the groundwater samples were examined using a hand-held salinity meter. Apart from the tap wate sample, all water samples were immediately filtered upon collection, using pre-cleaned 20 mm syringes and 0.22 μm filters (Sartorius Minisart® Syringe Filter, Polyethersulfone), and subsequently stored in acid-cleaned LDEP bottles. Subsamples for cation concentration and isotope analyses were acidified with in-house double-distilled hydrochloric acid (HCl) to pH around 2. Three fresh bedrock samples were collected from the outcrop at Penarth Head, Wales, UK (51°26'35.4"N, 003°09'55.9"W), including one red mudstone, one green mudstone and one evaporite (alabaster). One glacial gravel sample was obtained from 10 - 11m depth (top of aquifer) from the Observation OBS2 Borehole in the Marl Park, Cardiff, provided by the British Geological Survey. All the measurements of ion concentrations and isotope compositions of the samples were carried out at laboratories in the University of Bristol.
DOI: 10.5258/soton/d3288
title: Dataset in support of the journal article 'Low-temperature vanadium dioxide for CMOS integration and flexible polyimide applications'

description: Article published in Optical Materials Express

Figure 1:
Figure 1a: no associated data.
Figure 1b: no associated data.
Figure 1c: no associated data.
Figure 1d: no associated data.
Figure 1e: no associated data.
Figure 1f: no associated data.

Figure 2:Sheet Fig.2 Raman shift vs different anneal temperature.

Figure 3:
Figure 3a: Sheet Fig.3(a) XPS data of unannealed sample.
Figure 3b: Sheet Fig.3(b) XPS data of 250 °C annealed sample.
Figure 3c: Sheet Fig.3(c) XPS data of 300 °C annealed sample.
Figure 3d: Sheet Fig.3(d) XPS data of 350 °C annealed sample.
Figure 3e: Sheet Fig.3(e) XPS data of 400 °C annealed sample.

Figure 4:
Figure 4a: Sheet Fig.4(a) FTIR reflectance spectra at different temperatures (250C anneal temperature).
Figure 4b: Sheet Fig.4(b) FTIR reflectance spectra at different temperatures (300C anneal temperature).
Figure 4c: Sheet Fig.4(c) FTIR reflectance spectra at different temperatures (350C anneal temperature).
Figure 4d: Sheet Fig.4(d) FTIR reflectance spectra at different temperatures (400C anneal temperature).
Figure 4e: Sheet Fig.4(e) IR emissivity hysteresis for anneals at 300 °C 
Figure 4f: Sheet Fig.4(f) IR emissivity hysteresis for anneals at 350 °C 

Figure 5:
Figure 5a: no associated data.
Figure 5b: Sheet Fig.5(b) Raman shift of Kapton comparing with VO2 and V2O5 reference samples.
Figure 5c: Sheet Fig.5(c) FTIR reflectance spectra on Kapton (300C anneal temperature).
Figure 5d: Sheet Fig.5(d) IR emissivity hysteresis for Kapton anneals at 300C.

Supporting Information
Figure S1: no associated data.
Figure S2: Sheet Fig.S2, COMSOL simulated FTIR reflectance spectra under different SiO2 thickness.
DOI: 10.13135/ela-435
title: Decree relating to Sestos
DOI: 10.15468/dl.tce3py
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.83537 44.65382,15.20001 44.65382,15.20001 47.21077,8.83537 47.21077,8.83537 44.65382))",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Nyctereutes procyonoides (Gray, 1834))",
 "Year 2010-2025"
 ]
}

 The dataset includes 67 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000029-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/d3162
title: Dataset in support of the article 'Synthesis and properties of metal trifluoride complexes with amide-functionalised tacn macrocycles and attempted radiofluorination of the Ga(III) complexes by 18F/19F isotopic exchange'

description: Characterisation data for inorganic triazacyclononane complexes, including IR and NMR spectroscopy, ESI mass spectrometry and X-Ray crystallographic parameters from SCXRD structural data. Details of radiochemical experiments including the crude and purified HPLC traces is also included.

Dataset in support of the article 'Synthesis and properties of metal trifluoride complexes with amide-functionalised tacn macrocycles and attempted radiofluorination of the Ga(III) complexes by 18F/19F isotopic exchange' in Dalton Transactions
DOI: 10.17032/shu-0000000218
title: Examining the Predictive Capability of Statically Determined Mechanical Properties on the Dynamic Behaviour of 32-Panel Footballs

description: Data file contains quasi-static compression loading files and impact data for 12 footballs for the paper titled "Examining the Predictive Capability of Statically Determined Mechanical Properties on the Dynamic Behaviour of 32-Panel Footballs". This file consists of an results table, matlab data and script.
DOI: 10.15468/dl.k9mr75
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vigna friesiorum var. ulugurensis (Harms) Verdc."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000033-250214102907787/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.28417097
title: Primary Sources for the Definition of Misinformation and Disinformation

description: This supplementary material contains the primary sources used to define "misinformation" and "disinformation" in the study. The dataset compiles definitions and conceptual frameworks from key European stakeholders, including regulators, social media platforms, fact-checkers, and academic sources. Each entry identifies the source type (e.g., European regulator, platform, fact-checker, research) and the corresponding official document or policy reference where the definition originates.The dataset serves as the foundation for the analysis presented in Table 2 and Table 3 of the manuscript, highlighting the diversity of definitions and the criteria used to characterize misinformation and disinformation. The structured approach allows for a comparative assessment of definitions based on content quality, intent, underlying risks, and creation and dissemination techniques. It facilitates the discussion on the lack of consensus and its implications for policy-making, regulation, and counter-strategy development.
DOI: 10.15468/dl.2edxsd
title: Occurrence Download

description: A dataset containing 23103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lupinus angustifolius L."
 ]
}

 The dataset includes 23103 records from 417 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000031-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acs9mt
title: Occurrence Download

description: A dataset containing 5987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salpichroa origanifolia (Lam.) Baill., Salpichroa rhomboidea var. divaricata Miers, Salpichroa parviflora Dunal, Jaborosa montevidensis Casar., Planchonia arbutifolia Dunal, Salpichroa rhomboideum var. molle U.Dammer, Salpichroma rhomboideum var. mollis Dammer, Salpichroa rhomboidea var. mollis Dammer, Salpichroa rhomboidea var. pubescens Miers, Physalis curassavica Willd., Atropa rhomboidea Gillies & Hook., Physalis origanifolia Lam., Busbequia radicans Mart., 1829, Busbeckia radicans Mart., Perizoma rhomboidea (Gillies & Hook.) Small, Salpichroma rhomboideum (Gillies & Hook.) Miers, Salpichroa rhomboidea (Gillies & Hook.) Miers, Atropa origanifolia (Lam.) Desf., Salpichroa origanifolia (Lam.) Thell., Withania origanifolia (Lam.) Paillieux & Bois)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 5987 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000034-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-4475
title: Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM)

description: The Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM) dataset provides a comprehensive solution for addressing gaps in river discharge measurements by leveraging satellite altimetry. This dataset offers enhanced coverage for river discharge estimations by utilizing data from multiple satellite missions and integrating it with existing river gauge networks. It supports sustainable development and helps address complex water-related challenges exacerbated by climate change.

The first version of SAEM includes (1) height-based discharge estimates for 8,730 river gauges, covering approximately 88% of the total gauged discharge volume globally. These estimates demonstrate a median Kling-Gupta Efficiency (KGE) of 0.48, surpassing the performance of current global datasets. (2) Catalog of Virtual Stations (VSs): a catalog of VSs defined by specific criteria, including each station’s coordinates, associated satellite altimetry missions, distance to discharge gauges, and quality flags. (3) Altimetric Water Level Time Series: time series data of water levels from VSs that provide high-quality discharge estimates. The water level data are sourced from both existing Level-3 datasets and newly generated data within this study, including contributions from Hydroweb.Next, DAHITI, GRRATS, and HydroSat. Non-parametric quantile mapping functions: for VSs, which model the transformation of water level time series into discharge data using a Nonparametric Stochastic Quantile Mapping Function approach.
DOI: 10.15468/dl.d5q4f7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vigna somaliensis Baker f."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000035-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/azxsyp/1sdum6
title: id15v2_2.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/2ovfng
title: CAMELS_DK_304_gauging_catchment_boundaries.prj

description: :unav
DOI: 10.22008/fk2/azxsyp/5oxnrz
title: CAMELS_DK_304_gauging_stations.dbf

description: :unav
DOI: 10.22008/fk2/azxsyp/6iajqf
title: id15v2_2.dbf

description: :unav
DOI: 10.22008/fk2/azxsyp/acyevy
title: CAMELS_DK_304_gauging_catchment_boundaries.cpg

description: :unav
DOI: 10.22008/fk2/azxsyp/aysgw4
title: CAMELS_DK_soil_DkSoilData.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/bf4idw
title: CAMELS_DK_landuse_basemap.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/c0uze8
title: CAMELS_DK_observed_signature.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/cyijsv
title: CAMELS_DK_georegion.sbx

description: :unav
DOI: 10.22008/fk2/azxsyp/d1d8bw
title: CAMELS_DK_soil_EU_SoilHydroGrids.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/fofk7f
title: id15v2_2.sbn

description: :unav
DOI: 10.22008/fk2/azxsyp/gohgfs
title: CAMELS_DK_304_gauging_stations.cpg

description: :unav
DOI: 10.22008/fk2/azxsyp/gzdoe2
title: CAMELS_DK_script.py

description: :unav
DOI: 10.22008/fk2/azxsyp/jy3iq4
title: id15v2_2.shp.xml

description: :unav
DOI: 10.22008/fk2/azxsyp/k9uaw9
title: CAMELS_DK_abstraction.nc

description: :unav
DOI: 10.22008/fk2/azxsyp/khijq1
title: CAMELS_DK_Climate_indecies.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/ktbjes
title: id15v2_2.CPG

description: :unav
DOI: 10.22008/fk2/azxsyp/kzvbp9
title: CAMELS_DK_Qobs.nc

description: :unav
DOI: 10.22008/fk2/azxsyp/laqlxg
title: id15v2_2.shx

description: :unav
DOI: 10.22008/fk2/azxsyp/lkwf9g
title: CAMELS_DK_topo.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/n5koyw
title: CAMELS_DK_geology.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/n6hszz
title: CAMELS_DK_dkm.nc

description: :unav
DOI: 10.22008/fk2/azxsyp/oaslgc
title: CAMELS_DK_simulated_signature.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/pbypnl
title: CAMELS_DK_climate.nc

description: :unav
DOI: 10.22008/fk2/azxsyp/qmnblo
title: Gauged_catchments.zip

description: :unav
DOI: 10.22008/fk2/azxsyp/r1uzla
title: id15v2_2.shp

description: :unav
DOI: 10.22008/fk2/azxsyp/rdhrxt
title: CAMELS_DK_304_gauging_catchment_boundaries.dbf

description: :unav
DOI: 10.22008/fk2/azxsyp/t2cxxg
title: id15v2_2.prj

description: :unav
DOI: 10.22008/fk2/azxsyp/tduwgh
title: CAMELS_DK_304_gauging_catchment_boundaries.shp

description: :unav
DOI: 10.22008/fk2/azxsyp/tfamct
title: CAMELS_DK_304_gauging_stations.shx

description: :unav
DOI: 10.22008/fk2/azxsyp/tjcys9
title: id15v2_2.sbx

description: :unav
DOI: 10.22008/fk2/azxsyp/x1pdlg
title: CAMELS_DK_landuse_corine.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/xihpdm
title: CAMELS_DK_304_gauging_stations.shp

description: :unav
DOI: 10.22008/fk2/azxsyp/zaypvm
title: CAMELS_DK_304_gauging_stations.prj

description: :unav
DOI: 10.22008/fk2/azxsyp/1eg4df
title: CAMELS_DK_signature_sim_based.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/2l0kll
title: Data_description.pdf

description: :unav
DOI: 10.22008/fk2/azxsyp/3zplwu
title: CAMELS_DK_geology.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/atd122
title: CAMELS_DK_signature_sim_based.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/c4yak5
title: Data_description.pdf

description: :unav
DOI: 10.22008/fk2/azxsyp/cyqroo
title: CAMELS_DK_soil.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/eobbuc
title: CAMELS_DK_3330_catchment_boundaries.prj

description: :unav
DOI: 10.22008/fk2/azxsyp/fhbk6m
title: CAMELS_DK_landuse.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/gkrfzd
title: CAMELS_DK_script.py

description: :unav
DOI: 10.22008/fk2/azxsyp/h2tcmt
title: CAMELS_DK_georegion.dbf

description: :unav
DOI: 10.22008/fk2/azxsyp/hi6bsf
title: CAMELS_DK_georegion.sbn

description: :unav
DOI: 10.22008/fk2/azxsyp/j4bmao
title: CAMELS_DK_geology.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/jaisqt
title: CAMELS_DK_georegion.prj

description: :unav
DOI: 10.22008/fk2/azxsyp/ky3gpf
title: CAMELS_DK_georegion.shp

description: :unav
DOI: 10.22008/fk2/azxsyp/lbmj8t
title: CAMELS_DK_script.py

description: :unav
DOI: 10.22008/fk2/azxsyp/miche1
title: data_description.pdf

description: :unav
DOI: 10.22008/fk2/azxsyp/nqe2ve
title: data_description.pdf

description: :unav
DOI: 10.22008/fk2/azxsyp/pi3f26
title: CAMELS_DK_3330_catchment_boundaries.cpg

description: :unav
DOI: 10.22008/fk2/azxsyp/qnp1q3
title: CAMELS_DK_climate.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/qobhgk
title: CAMELS_DK_soil.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/qogk1y
title: CAMELS_DK_topography.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/qvmlzp
title: CAMELS_DK_signature_obs_based.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/rdxf6e
title: CAMELS_DK_georegion.shx

description: :unav
DOI: 10.22008/fk2/azxsyp/rzhw7l
title: CAMELS_DK_3330_catchment_boundaries.dbf

description: :unav
DOI: 10.22008/fk2/azxsyp/svrit8
title: CAMELS_DK_3330_catchment_boundaries.shp

description: :unav
DOI: 10.22008/fk2/azxsyp/u7ipsc
title: CAMELS_DK_topography.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/vrbdid
title: CAMELS_DK_climate.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/wcohxm
title: CAMELS_DK_landuse.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/xajckj
title: CAMELS_DK_304_gauging_catchment_boundaries.shx

description: :unav
DOI: 10.22008/fk2/azxsyp/xaulyc
title: CAMELS_DK_signature_obs_based.csv

description: :unav
DOI: 10.22008/fk2/azxsyp/xdm9xp
title: CAMELS_DK_3330_catchment_boundaries.shx

description: :unav
DOI: 10.22008/fk2/azxsyp/xlyg9k
title: Ungauged_catchments.zip

description: :unav
DOI: 10.22008/fk2/azxsyp/xxnumb
title: CAMELS_DK_script.py

description: :unav
DOI: 10.15468/dl.vf4fh9
title: Occurrence Download

description: A dataset containing 623 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BRFC Black Rock Forest Consortium Herbarium"
 ]
}

 The dataset includes 623 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000036-250214102907787/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.28389158
title: Digital Appendix: Synthesizing Design Knowledge for Persuasive Conversational Agents in Sustainability

description: This digital appendix provides the detailed data and coding outcomes from our meta-synthesis of design knowledge for persuasive conversational agents (CAs) in sustainability. It contains:<b>Sub-Cluster Table</b> – Lists all 140 sub‐clusters with short labels, allocated under 30 design clusters (BY1–BY5, IN1–IN2, CA1–CA3). These sub‐clusters capture specific design features, requirements, or principles.<b>Studies Table</b> – Shows bibliographic details and contextual information (e.g., primary sustainability dimension, SDGs addressed, application domain) for each of the 26 articles in our corpus, highlighting core studies on persuasive CAs in sustainability.<b>Cluster Table</b> – Presents the 30 high‐level design clusters, grouped into the three overarching dimensions (“Sustainability by agent,” “Sustainability in agent,” and “Conversational agent”), alongside concise descriptions.<b>Kernel Theories Table</b> – Summarizes 41 theories or justificatory knowledge elements referenced in the literature (e.g., Theory of Planned Behavior, Computers Are Social Actors), indicating their usage across the studies.By consulting this appendix, researchers and practitioners can see exactly how each cluster and sub‐cluster is grounded in the analyzed literature, retrieve practical design elements, and identify relevant theoretical underpinnings for creating or evaluating sustainability‐oriented conversational agents.
DOI: 10.6084/m9.figshare.28389158.v1
title: Digital Appendix: Synthesizing Design Knowledge for Persuasive Conversational Agents in Sustainability

description: This digital appendix provides the detailed data and coding outcomes from our meta-synthesis of design knowledge for persuasive conversational agents (CAs) in sustainability. It contains:<b>Sub-Cluster Table</b> – Lists all 140 sub‐clusters with short labels, allocated under 30 design clusters (BY1–BY5, IN1–IN2, CA1–CA3). These sub‐clusters capture specific design features, requirements, or principles.<b>Studies Table</b> – Shows bibliographic details and contextual information (e.g., primary sustainability dimension, SDGs addressed, application domain) for each of the 26 articles in our corpus, highlighting core studies on persuasive CAs in sustainability.<b>Cluster Table</b> – Presents the 30 high‐level design clusters, grouped into the three overarching dimensions (“Sustainability by agent,” “Sustainability in agent,” and “Conversational agent”), alongside concise descriptions.<b>Kernel Theories Table</b> – Summarizes 41 theories or justificatory knowledge elements referenced in the literature (e.g., Theory of Planned Behavior, Computers Are Social Actors), indicating their usage across the studies.By consulting this appendix, researchers and practitioners can see exactly how each cluster and sub‐cluster is grounded in the analyzed literature, retrieve practical design elements, and identify relevant theoretical underpinnings for creating or evaluating sustainability‐oriented conversational agents.
DOI: 10.15468/dl.4g54ty
title: Occurrence Download

description: A dataset containing 7816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio angulatus L.fil., Senecio canalipes E.Mey., Senecio tredecimsquamosus Sch.Bip., Senecio macropodus DC., Cineraria laevis A.Spreng.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 7816 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000037-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.