cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6fxjvd3844
title: Cultural Dynamics and Endogeneity in Psychological Drivers of Adoption of Community-Based Water Purification Technology in Rural India. Raj et al.

description: This dataset was collected through structured surveys conducted across 54 rural communities in India to examine the adoption of Jivamritam, a community-based drinking water purification technology. The survey includes responses from 906 individuals and covers demographic characteristics, sources of drinking water, and psychological factors influencing technology adoption. Specifically, the study adopts a two-stage regression strategy that uses cultural traits as instrumental variables to address endogeneity in behavioral adoption models. The dataset supports research on psychological determinants and cultural influences in rural water purification interventions
DOI: 10.3535/g4v-k6v-yc9
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/6fxjvd3844.1
title: Cultural Dynamics and Endogeneity in Psychological Drivers of Adoption of Community-Based Water Purification Technology in Rural India. Raj et al.

description: This dataset was collected through structured surveys conducted across 54 rural communities in India to examine the adoption of Jivamritam, a community-based drinking water purification technology. The survey includes responses from 906 individuals and covers demographic characteristics, sources of drinking water, and psychological factors influencing technology adoption. Specifically, the study adopts a two-stage regression strategy that uses cultural traits as instrumental variables to address endogeneity in behavioral adoption models. The dataset supports research on psychological determinants and cultural influences in rural water purification interventions
DOI: 10.3535/rqe-qfp-rd2
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0d8-hl3-ngs
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/whf24mfgtw
title: LINF_270005800

description: Cytochrome p450-like protein | CYP5122A1; Leishmania infantum (strain JPCM5)
DOI: 10.3535/jve-q2j-253
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/whf24mfgtw.2
title: LINF_270005800

description: Cytochrome p450-like protein | CYP5122A1; Leishmania infantum (strain JPCM5)
DOI: 10.3535/2v2-szq-epp
title: Buellia violaceofusca G. Thor & Muhr

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kzd-6rm-pz7
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rs8-c0s-g1e
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/n53stbg99x
title: New insights into dust emission mechanism in natural environments based on a series of field observations and wind tunnel experiments

description: Soil particle distributions and dust emission processes.
DOI: 10.3535/lm4-hrl-4pq
title: Buellia violaceofusca G. Thor & Muhr

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3yr-610-ljy
title: Buellia violaceofusca G. Thor & Muhr

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/n53stbg99x.2
title: New insights into dust emission mechanism in natural environments based on a series of field observations and wind tunnel experiments

description: Soil particle distributions and dust emission processes.
DOI: 10.3535/bzk-mn1-ryn
title: Buellia sequax (Nyl.) Zahlbr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0mt-hxr-fec
title: Buellia sequax (Nyl.) Zahlbr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b5x-k1j-63y
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/bp7wntx3cy
title: Resecarch Data - Sally And Andrian (2025)

description: The purpose of this study is to analyze the effect of CSR Strategy, Sustainability Committee, Corporate Governance Committee on ESG Score with stakeholder engagement as moderating variable. The study uses quantitative methods, with secondary data taken from Refinitiv database with the research period spanning 2014 to 2023 for non-financial sector in Indonesia, Malaysia, Philippines, Singapore, and Thailand. This study uses balanced panel data with a total of 1.350 observations processed using SPSS 30 as a statistical tool.
DOI: 10.3535/9yv-35n-qhx
title: Byssoloma subdiscordans (Nyl.) P. James

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h3n-bnv-m0g
title: Byssoloma subdiscordans (Nyl.) P. James

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/bp7wntx3cy.1
title: Resecarch Data - Sally And Andrian (2025)

description: The purpose of this study is to analyze the effect of CSR Strategy, Sustainability Committee, Corporate Governance Committee on ESG Score with stakeholder engagement as moderating variable. The study uses quantitative methods, with secondary data taken from Refinitiv database with the research period spanning 2014 to 2023 for non-financial sector in Indonesia, Malaysia, Philippines, Singapore, and Thailand. This study uses balanced panel data with a total of 1.350 observations processed using SPSS 30 as a statistical tool.
DOI: 10.15468/dl.46tgnp
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panopeus lacustris"
 ]
}

 The dataset includes 273 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046564-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/keb-qex-cym
title: Buellia violaceofusca G. Thor & Muhr

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sv1-c2l-3zl
title: Buellia subdisciformis (Leight.) Jatta

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ht9-wft-v0d
title: Cephalophysis leucospila (Anzi) H. Kilias & Scheid.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8by-vh6-r9k
title: Cephalophysis leucospila (Anzi) H. Kilias & Scheid.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t44-96b-zkb
title: Cephalophysis leucospila (Anzi) H. Kilias & Scheid.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pxj-3ba-5a4
title: Catinaria atropurpurea (Schaer.) Vězda & Poelt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/84p-5el-f8l
title: Catinaria atropurpurea (Schaer.) Vězda & Poelt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r0b-tvd-rer
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kmc-09b-aly
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.dyg8mp
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thymelaea passerina",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 120 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046565-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/h2y-vhe-fcf
title: Catinaria neuschildii (Körb.) P. James

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wkq-1l2-wjw
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/j4s4nt9ws3
title: A geospatial and statistical assessment of surface temperature response to land cover change and spatial drivers in Sekondi-Takoradi, Ghana

description: Rapid urbanization is profoundly transforming land use and surface thermal environments in West African cities, with implications for urban heat island (UHI) intensification and climate resilience. Unfortunately, the influence of urban growth and spatial determinants on surface temperature variability remains underexplored in Sekondi–Takoradi and across Ghana. This research addresses this gap by employing geospatial techniques and statistical models to assess the influence of land cover change and spatial drivers on temperature distribution in the Sekondi-Takoradi Metropolis. Landsat images were classified using the random forest algorithm to map LULC transitions, while spectral indices, land surface temperature (LST), elevation, and proximity variables were employed to assess the spatial thermal dynamics. Statistical modeling combined Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) to evaluate the relationships between LST and explanatory variables, and urban archetype analysis was applied to examine the role of spatial drivers on temperature variability. The findings revealed a 32.91% expansion of built-up, a 1.09% decline in water, and a 32.82% decline in vegetation cover, leading to a 3.1 °C rise in mean LST. Regression results showed that GWR consistently outperformed OLS, highlighting the importance of spatial heterogeneity in explaining urban thermal dynamics. The distinct spatial factors defining each class revealed that archetype 6 recorded the lowest mean temperature, whereas archetype 1 exhibited the highest. These results highlight the dominant role of urban growth and spatial drivers in shaping UHI intensification. The study provides critical insights for sustainable land use planning, urban greening, and climate-sensitive infrastructure development, offering policy-relevant evidence to support Sustainable Development Goal 11 on sustainable cities and communities.
DOI: 10.3535/r0r-4dv-tz7
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/j4s4nt9ws3.1
title: A geospatial and statistical assessment of surface temperature response to land cover change and spatial drivers in Sekondi-Takoradi, Ghana

description: Rapid urbanization is profoundly transforming land use and surface thermal environments in West African cities, with implications for urban heat island (UHI) intensification and climate resilience. Unfortunately, the influence of urban growth and spatial determinants on surface temperature variability remains underexplored in Sekondi–Takoradi and across Ghana. This research addresses this gap by employing geospatial techniques and statistical models to assess the influence of land cover change and spatial drivers on temperature distribution in the Sekondi-Takoradi Metropolis. Landsat images were classified using the random forest algorithm to map LULC transitions, while spectral indices, land surface temperature (LST), elevation, and proximity variables were employed to assess the spatial thermal dynamics. Statistical modeling combined Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) to evaluate the relationships between LST and explanatory variables, and urban archetype analysis was applied to examine the role of spatial drivers on temperature variability. The findings revealed a 32.91% expansion of built-up, a 1.09% decline in water, and a 32.82% decline in vegetation cover, leading to a 3.1 °C rise in mean LST. Regression results showed that GWR consistently outperformed OLS, highlighting the importance of spatial heterogeneity in explaining urban thermal dynamics. The distinct spatial factors defining each class revealed that archetype 6 recorded the lowest mean temperature, whereas archetype 1 exhibited the highest. These results highlight the dominant role of urban growth and spatial drivers in shaping UHI intensification. The study provides critical insights for sustainable land use planning, urban greening, and climate-sensitive infrastructure development, offering policy-relevant evidence to support Sustainable Development Goal 11 on sustainable cities and communities.
DOI: 10.3535/fjh-an1-6tw
title: Catinaria atropurpurea (Schaer.) Vězda & Poelt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rtb-18b-wzp
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5pp-hml-pyz
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l4w-j75-gdq
title: Catinaria atropurpurea (Schaer.) Vězda & Poelt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lg4-a59-6m4
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w4l-lxq-mzg
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0wh-75d-04w
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rpk-q18-6sc
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9f2-0qn-z44
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y11-h1p-37p
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/brq-bc3-erp
title: Bryoria implexa (Hoffm.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z6r-d25-f7t
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2v5-g8k-7t7
title: Catinaria neuschildii (Körb.) P. James

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5nc-g9f-km2
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/51k-6gh-4l5
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/84a-28j-xaj
title: Calicium lenticulare Ach.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cdv-ccg-w83
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d91-zwv-dnh
title: Catillaria erysiboides (Nyl.) Th. Fr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tj6-98y-60z
title: Catillaria minuta (A. Massal.) Lettau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/06l-qa2-dfp
title: Catillaria picila (A. Massal.) Coppins

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ze9-dnw-atv
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ncs-apb-r9w
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/55h-0r1-8pm
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wdz-n0e-l9y
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ae7-9qs-aln
title: Catillaria picila (A. Massal.) Coppins

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jyw-5ta-2me
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9jc-kf0-k22
title: Bryoria pseudofuscescens (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r1g-lc5-m9h
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6hv-9m0-xfc
title: Calicium viride Pers.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/emn-4xt-lh3
title: Calicium lenticulare Ach.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/tzk5ncrvw9
title: Retrofits and Revisions: How Evolutionary Theory Fails the Test of Predictive Science

description: The gold standard of science is prediction. If a theory can’t make testable, risky forecasts—and if it consistently fails when put to the test—then it doesn’t deserve the title of science.

Evolution has been presented as biology’s untouchable framework… but history reveals a long trail of failed predictions, retroactive just-so stories, and an inability to generate genuinely novel structures through its core mechanism of mutation and selection.

Meanwhile, the Young Earth Creationist (YEC) model—dismissed by many as unscientific—has quietly built a track record of making specific, accurate predictions:
✅ Genetic similarity across “distant” organisms
✅ Hierarchical clustering of kinds
✅ Mutation rates that match a recent origin
✅ Limits to beneficial mutations
✅ Functional “junk DNA” (ERVs, regulatory networks, Hox clusters, etc.)
✅ Rapid speciation and founder effects
✅ Unity of the human race

And the results? Time and again, data aligns with YEC predictions—while evolutionary theory scrambles to retrofit explanations after the fact.

 In this study, we put the predictions of both models head-to-head across genetics, development, and population biology. The verdict is striking: creation’s design-based framework repeatedly outperforms evolution’s story-driven narrative.

From “junk DNA” turning out functional, to mutation rates exposing hard limits, to the stubborn absence of macroevolutionary innovation—modern evidence is shouting what many scientists won’t admit: the Darwinian framework is crumbling.

Even insiders acknowledge it:

“For what good is a theory that is guaranteed to agree with all conceivable observations? …Is that not exactly the situation with Darwinism?” — Richard Lewontin, Harvard Geneticist

“Nearly all the evolutionary stories I learned as a student… have now been debunked.” — Derek Ager, Imperial College, London

📖 As Dr. Richard Bliss once put it:
“The miracles required to make evolution feasible are far greater in number and far harder to believe than the miracle of creation.”

⚡ It’s time to put predictions on trial.
⚡ It’s time to ask hard questions about falsifiability.
⚡ It’s time to reconsider which model really explains the data.

Dive in and see why the evidence doesn’t just challenge evolution—it points to creation as the better scientific model.
DOI: 10.3535/tlf-aq1-53p
title: Calicium viride Pers.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fvh-mm6-vzf
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/tzk5ncrvw9.4
title: Retrofits and Revisions: How Evolutionary Theory Fails the Test of Predictive Science

description: The gold standard of science is prediction. If a theory can’t make testable, risky forecasts—and if it consistently fails when put to the test—then it doesn’t deserve the title of science.

Evolution has been presented as biology’s untouchable framework… but history reveals a long trail of failed predictions, retroactive just-so stories, and an inability to generate genuinely novel structures through its core mechanism of mutation and selection.

Meanwhile, the Young Earth Creationist (YEC) model—dismissed by many as unscientific—has quietly built a track record of making specific, accurate predictions:
✅ Genetic similarity across “distant” organisms
✅ Hierarchical clustering of kinds
✅ Mutation rates that match a recent origin
✅ Limits to beneficial mutations
✅ Functional “junk DNA” (ERVs, regulatory networks, Hox clusters, etc.)
✅ Rapid speciation and founder effects
✅ Unity of the human race

And the results? Time and again, data aligns with YEC predictions—while evolutionary theory scrambles to retrofit explanations after the fact.

 In this study, we put the predictions of both models head-to-head across genetics, development, and population biology. The verdict is striking: creation’s design-based framework repeatedly outperforms evolution’s story-driven narrative.

From “junk DNA” turning out functional, to mutation rates exposing hard limits, to the stubborn absence of macroevolutionary innovation—modern evidence is shouting what many scientists won’t admit: the Darwinian framework is crumbling.

Even insiders acknowledge it:

“For what good is a theory that is guaranteed to agree with all conceivable observations? …Is that not exactly the situation with Darwinism?” — Richard Lewontin, Harvard Geneticist

“Nearly all the evolutionary stories I learned as a student… have now been debunked.” — Derek Ager, Imperial College, London

📖 As Dr. Richard Bliss once put it:
“The miracles required to make evolution feasible are far greater in number and far harder to believe than the miracle of creation.”

⚡ It’s time to put predictions on trial.
⚡ It’s time to ask hard questions about falsifiability.
⚡ It’s time to reconsider which model really explains the data.

Dive in and see why the evidence doesn’t just challenge evolution—it points to creation as the better scientific model.
DOI: 10.3535/05y-7nq-qla
title: Calicium parvum Tibell

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nts-s7y-1p1
title: Bryoria nadvornikiana (Gyeln.) Brodo & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.