cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.65akc5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.775823 24.207595, 88.698832 24.202018, 88.623757 24.185426, 88.552464 24.158231, 88.486721 24.12111, 88.428156 24.074984, 88.378215 24.020998, 88.338123 23.96049, 88.308859 23.894958, 88.291129 23.826021, 88.285353 23.755382, 88.291652 23.684779, 88.309854 23.615952, 88.33949200000001 23.550589, 88.379824 23.490294, 88.42984800000001 23.436545, 88.48832899999999 23.390655, 88.553832 23.353747, 88.624751 23.326722, 88.699355 23.310238, 88.775823 23.304699, 88.85229099999999 23.310238, 88.926895 23.326722, 88.99781400000001 23.353747, 89.063317 23.390655, 89.121798 23.436545, 89.17182200000001 23.490294, 89.212154 23.550589, 89.241792 23.615952, 89.25999400000001 23.684779, 89.266293 23.755382, 89.26051699999999 23.826021, 89.24278700000001 23.894958, 89.213523 23.96049, 89.17343099999999 24.020998, 89.12349 24.074984, 89.064925 24.12111, 88.999182 24.158231, 88.92788899999999 24.185426, 88.852814 24.202018, 88.775823 24.207595))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004058-260120142942310/datasets/export for details.
DOI: 10.15468/dl.26eabw
title: Occurrence Download

description: A dataset containing 562068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eudyptula minor"
 ]
}

 The dataset includes 562068 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004026-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4sn52
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.761 4.281162, 116.690542 4.275592, 116.621822 4.25902, 116.556535 4.231854, 116.496289 4.194765, 116.44257 4.148666, 116.396701 4.094695, 116.359811 4.034182, 116.332806 3.968618, 116.31635 3.899618, 116.310844 3.828881, 116.316423 3.758151, 116.332945 3.689167, 116.360002 3.623629, 116.396926 3.563148, 116.442807 3.509213, 116.496514 3.46315, 116.556726 3.426093, 116.621961 3.398953, 116.690615 3.382397, 116.761 3.376833, 116.831385 3.382397, 116.900039 3.398953, 116.965274 3.426093, 117.025486 3.46315, 117.079193 3.509213, 117.125074 3.563148, 117.161998 3.623629, 117.189055 3.689167, 117.205577 3.758151, 117.211156 3.828881, 117.20565 3.899618, 117.189194 3.968618, 117.162189 4.034182, 117.125299 4.094695, 117.07943 4.148666, 117.025711 4.194765, 116.965465 4.231854, 116.900178 4.25902, 116.831458 4.275592, 116.761 4.281162))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004059-260120142942310/datasets/export for details.
DOI: 10.15468/dl.qtkmc5
title: Occurrence Download

description: A dataset containing 482 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rigodiadelphus"
 ]
}

 The dataset includes 482 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004060-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7e3z83
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is one of (Chinese Taipei, China, Philippines, Japan)",
 "EstablishmentMeans is native",
 "TaxonKey is Acacia confusa"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004063-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysccds
title: Occurrence Download

description: A dataset containing 4183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Puerto Rico Long-Term Coral Reef Monitoring Program Database Compilation",
 "TaxonKey is Aliger gigas"
 ]
}

 The dataset includes 4183 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004061-260120142942310/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.25712718
title: Nundorite: a geological oddity of critical minerals significance from the Mount Arrowsmith Volcanics, northwestern NSW

description: Nundorite is a unique and enigmatic rock type, known only from its type locality within the Koonenberry Belt of western NSW. The rock is highly anomalous in geochemical composition being peralkaline, with low silica and high alumina, but enriched in rare metals such as Zr, Nb and rare earth elements. This study presents a comprehensive mineralogical and geochemical study of nundorite to resolve its origins and its potential to inform on the geological processes that lead to critical metal concentration in the crust. Nundorite is found only at a single outcrop but shows a progression of alteration and deformation over ∼250 m from the northwest to southeast. The least deformed varieties consist of coarse aegirine grains within a matrix composed predominantly of natrolite and microcline with minor albite, nepheline and schizolite. With increasing deformation, the proportion of albite and aegirine decreases, the primary zeolite changes from natrolite to analcime, and the pyroxene and schizolite shift towards the aegirine and serandite (Mn-rich) endmember compositions, respectively. These transitions can be related to progressive hydration and recrystallisation of the rock in response to hydrothermal alteration associated with deformation. Nundorite also contains a diverse suite of accessory rare metal phases such as zircon, monazite, cerite-group minerals, fergusonite, fersmite, natroniobite, galgenbergite, epidote–allanite and a range of Zr alkali silicate minerals. Samarium–Nd isotopic compositions of nundorite (εNd ∼+5.5 at 585 Ma) are comparable with mafic volcanic rocks of the surrounding Mount Arrowsmith Volcanics and are consistent with derivation from a mantle source. These data, together with the uniform peralkaline composition, depletion in Ti and P, and enrichment in incompatible elements, are consistent with an origin as highly fractionated phonolite. Phonolites of similar composition are rare but have been reported from continental rift and intraplate alkaline provinces worldwide. Nundorite, therefore is not just a geological oddity, but also provides reaffirmation of the continental rift setting for the Mount Arrowsmith Volcanics and highlights the critical mineral resource potential of the region, as extensive crystal fractionation is a key mechanism to produce ore grade levels of rare metals in alkaline magmatic systems. Nundorite is a geological oddity found only in the Koonenberry Belt of western NSW. Nundorite has a high-alumina, peralkaline composition and is enriched in Zr, Nb and rare earth elements. Nundorite has a complex accessory mineral assemblage reflecting its unusual composition and variable alteration. The protolith of nundorite is phonolite formed after extensive crystal fractionation in a continental rift setting.
DOI: 10.6084/m9.figshare.25712718.v1
title: Nundorite: a geological oddity of critical minerals significance from the Mount Arrowsmith Volcanics, northwestern NSW

description: Nundorite is a unique and enigmatic rock type, known only from its type locality within the Koonenberry Belt of western NSW. The rock is highly anomalous in geochemical composition being peralkaline, with low silica and high alumina, but enriched in rare metals such as Zr, Nb and rare earth elements. This study presents a comprehensive mineralogical and geochemical study of nundorite to resolve its origins and its potential to inform on the geological processes that lead to critical metal concentration in the crust. Nundorite is found only at a single outcrop but shows a progression of alteration and deformation over ∼250 m from the northwest to southeast. The least deformed varieties consist of coarse aegirine grains within a matrix composed predominantly of natrolite and microcline with minor albite, nepheline and schizolite. With increasing deformation, the proportion of albite and aegirine decreases, the primary zeolite changes from natrolite to analcime, and the pyroxene and schizolite shift towards the aegirine and serandite (Mn-rich) endmember compositions, respectively. These transitions can be related to progressive hydration and recrystallisation of the rock in response to hydrothermal alteration associated with deformation. Nundorite also contains a diverse suite of accessory rare metal phases such as zircon, monazite, cerite-group minerals, fergusonite, fersmite, natroniobite, galgenbergite, epidote–allanite and a range of Zr alkali silicate minerals. Samarium–Nd isotopic compositions of nundorite (εNd ∼+5.5 at 585 Ma) are comparable with mafic volcanic rocks of the surrounding Mount Arrowsmith Volcanics and are consistent with derivation from a mantle source. These data, together with the uniform peralkaline composition, depletion in Ti and P, and enrichment in incompatible elements, are consistent with an origin as highly fractionated phonolite. Phonolites of similar composition are rare but have been reported from continental rift and intraplate alkaline provinces worldwide. Nundorite, therefore is not just a geological oddity, but also provides reaffirmation of the continental rift setting for the Mount Arrowsmith Volcanics and highlights the critical mineral resource potential of the region, as extensive crystal fractionation is a key mechanism to produce ore grade levels of rare metals in alkaline magmatic systems. Nundorite is a geological oddity found only in the Koonenberry Belt of western NSW. Nundorite has a high-alumina, peralkaline composition and is enriched in Zr, Nb and rare earth elements. Nundorite has a complex accessory mineral assemblage reflecting its unusual composition and variable alteration. The protolith of nundorite is phonolite formed after extensive crystal fractionation in a continental rift setting.
DOI: 10.6084/m9.figshare.26368807
title: Finding and identifying platinum group elements in the Eastman layered mafic intrusion

description: Platinum group elements (PGEs) are commonly hosted by base metal sulfides (BMSs, e.g. chalcopyrite or pentlandite) or platinum group minerals (PGMs). PGE-bearing phases are generally small, ranging from tens of nanometres to a few micrometres. In addition, PGEs can be hosted in PGMs, either intimately associated with BMSs or spatially separated. This poses a difficulty in their detection and analysis, and leads to uncertainty in identification of their mineral hosts. Their erratic occurrence introduces a substantial nugget effect in bulk rock assays, used to evaluate deposit economics on a larger scale. Knowledge of PGE hosts has a direct influence on resource management and extraction efficiency, making the understanding of mineral distribution important for processing. The Eastman Ultramafic Intrusion is a layered mafic–ultramafic intrusive complex in the Eastern Kimberley of Western Australia. Samples from Cu–Co–Ni–PGE exploration drilling at Eastman were bulk-assayed and found to contain up to 2.39 ppm PGEs. The rocks have been strongly altered and no longer represent their primary magmatic mineral assemblage and textures. To better understand the Eastman PGE mineralogy, we applied a multi-method approach of quantitative analytical electron microscopy, 3D scanning and <i>in situ</i> mass spectrometry. We find that Pt is primarily hosted in sperrylite, whereas Pd is mainly associated with kotulskite, pseudomertieite, testibiopalladite, sudburyite and michenerite. Additionally, minor Pt and Pd occur in solid solution within cobaltite, as well as Rh-rich cobaltite (hollingworthite). Spatially, PGMs and cobaltite are mostly clustered on a millimetric scale, and BMSs on a micrometric scale. Three-dimensional computed tomography scanning is a valuable tool for understanding PGM distribution, nugget effect scale and narrowing down interest areas for sample analysis. Guided by 3D scanning, combined quantitative analytical electron microscopy and <i>i</i> mass spectrometry are effective for finding and identifying PGEs. Platinum is overwhelmingly hosted in the arsenide sperrylite, whereas palladium is mostly hosted in various bismuthides and tellurides. Cobaltite contains minor Pt and Pd. The Eastman mineralisation is primarily orthomagmatic, and later reequilibration at low temperature redistributed palladium but not platinum.
DOI: 10.6084/m9.figshare.26368807.v1
title: Finding and identifying platinum group elements in the Eastman layered mafic intrusion

description: Platinum group elements (PGEs) are commonly hosted by base metal sulfides (BMSs, e.g. chalcopyrite or pentlandite) or platinum group minerals (PGMs). PGE-bearing phases are generally small, ranging from tens of nanometres to a few micrometres. In addition, PGEs can be hosted in PGMs, either intimately associated with BMSs or spatially separated. This poses a difficulty in their detection and analysis, and leads to uncertainty in identification of their mineral hosts. Their erratic occurrence introduces a substantial nugget effect in bulk rock assays, used to evaluate deposit economics on a larger scale. Knowledge of PGE hosts has a direct influence on resource management and extraction efficiency, making the understanding of mineral distribution important for processing. The Eastman Ultramafic Intrusion is a layered mafic–ultramafic intrusive complex in the Eastern Kimberley of Western Australia. Samples from Cu–Co–Ni–PGE exploration drilling at Eastman were bulk-assayed and found to contain up to 2.39 ppm PGEs. The rocks have been strongly altered and no longer represent their primary magmatic mineral assemblage and textures. To better understand the Eastman PGE mineralogy, we applied a multi-method approach of quantitative analytical electron microscopy, 3D scanning and <i>in situ</i> mass spectrometry. We find that Pt is primarily hosted in sperrylite, whereas Pd is mainly associated with kotulskite, pseudomertieite, testibiopalladite, sudburyite and michenerite. Additionally, minor Pt and Pd occur in solid solution within cobaltite, as well as Rh-rich cobaltite (hollingworthite). Spatially, PGMs and cobaltite are mostly clustered on a millimetric scale, and BMSs on a micrometric scale. Three-dimensional computed tomography scanning is a valuable tool for understanding PGM distribution, nugget effect scale and narrowing down interest areas for sample analysis. Guided by 3D scanning, combined quantitative analytical electron microscopy and <i>i</i> mass spectrometry are effective for finding and identifying PGEs. Platinum is overwhelmingly hosted in the arsenide sperrylite, whereas palladium is mostly hosted in various bismuthides and tellurides. Cobaltite contains minor Pt and Pd. The Eastman mineralisation is primarily orthomagmatic, and later reequilibration at low temperature redistributed palladium but not platinum.
DOI: 10.6084/m9.figshare.27241078
title: Examining stakeholder attitudes towards tree ecosystem services and disservices in urban environments: insights from Maharshi Dayanand University, Rohtak

description: Urbanisation is a growing public health concern worldwide. Green spaces and trees provide critical ecosystem services in urban areas. The perceptions and attitudes of people regarding ecosystem services and disservices of trees were studied in one of the cleanest higher education institutions (HEIs) in India. Based on the Likert scale, this research focused on rating and preferences for ecosystem services and disservices from trees by different stakeholders. The study also aimed to understand the importance of socio-demographic variables on stakeholder’s perceptions towards ecosystem services and disservices. The study attempted to capture specific challenges and suggestions regarding tree management on campus. The survey included 367 people representing administrative staff, faculty members, residents and students from the Maharshi Dayanand University Campus (MDU), Rohtak (Haryana), India. Perceptions of different stakeholders were explored through a semi-structured questionnaire. Respondents rated oxygen (O<sub>2</sub>) production, medicinal potential and air pollution reduction services of trees as very important. They also highlighted some disservices of the trees on the university campus, such as problems with pollen allergy, litter, blocking of sunshine and monkey menace. Principal component analysis (PCA) identified eight significant varimax factors (VFs) for ecosystem services and disservices, explaining 59.59% of the variance in the data. Ordinal regression analysis indicated a strong correlation between residents on campus, educational background, marital status and ratings of ecosystem services and disservices. Respondents suggested organising more environmental sensitisation programmes, recruiting staff, ensuring strict compliance with rules and establishing tree clubs. The study concludes that people are highly dependent on campus trees, regard ecosystem services and are not significantly concerned about tree disservices. The findings of this study may motivate and guide universities and higher educational institutions across the globe to explore the perceptions of different stakeholders in understanding the ecological significance of trees for achieving their broad goals of campus sustainability.
DOI: 10.6084/m9.figshare.27241078.v1
title: Examining stakeholder attitudes towards tree ecosystem services and disservices in urban environments: insights from Maharshi Dayanand University, Rohtak

description: Urbanisation is a growing public health concern worldwide. Green spaces and trees provide critical ecosystem services in urban areas. The perceptions and attitudes of people regarding ecosystem services and disservices of trees were studied in one of the cleanest higher education institutions (HEIs) in India. Based on the Likert scale, this research focused on rating and preferences for ecosystem services and disservices from trees by different stakeholders. The study also aimed to understand the importance of socio-demographic variables on stakeholder’s perceptions towards ecosystem services and disservices. The study attempted to capture specific challenges and suggestions regarding tree management on campus. The survey included 367 people representing administrative staff, faculty members, residents and students from the Maharshi Dayanand University Campus (MDU), Rohtak (Haryana), India. Perceptions of different stakeholders were explored through a semi-structured questionnaire. Respondents rated oxygen (O<sub>2</sub>) production, medicinal potential and air pollution reduction services of trees as very important. They also highlighted some disservices of the trees on the university campus, such as problems with pollen allergy, litter, blocking of sunshine and monkey menace. Principal component analysis (PCA) identified eight significant varimax factors (VFs) for ecosystem services and disservices, explaining 59.59% of the variance in the data. Ordinal regression analysis indicated a strong correlation between residents on campus, educational background, marital status and ratings of ecosystem services and disservices. Respondents suggested organising more environmental sensitisation programmes, recruiting staff, ensuring strict compliance with rules and establishing tree clubs. The study concludes that people are highly dependent on campus trees, regard ecosystem services and are not significantly concerned about tree disservices. The findings of this study may motivate and guide universities and higher educational institutions across the globe to explore the perceptions of different stakeholders in understanding the ecological significance of trees for achieving their broad goals of campus sustainability.
DOI: 10.15468/dl.w8jaed
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.775823 24.207595, 88.698832 24.202018, 88.623757 24.185426, 88.552464 24.158231, 88.486721 24.12111, 88.428156 24.074984, 88.378215 24.020998, 88.338123 23.96049, 88.308859 23.894958, 88.291129 23.826021, 88.285353 23.755382, 88.291652 23.684779, 88.309854 23.615952, 88.33949200000001 23.550589, 88.379824 23.490294, 88.42984800000001 23.436545, 88.48832899999999 23.390655, 88.553832 23.353747, 88.624751 23.326722, 88.699355 23.310238, 88.775823 23.304699, 88.85229099999999 23.310238, 88.926895 23.326722, 88.99781400000001 23.353747, 89.063317 23.390655, 89.121798 23.436545, 89.17182200000001 23.490294, 89.212154 23.550589, 89.241792 23.615952, 89.25999400000001 23.684779, 89.266293 23.755382, 89.26051699999999 23.826021, 89.24278700000001 23.894958, 89.213523 23.96049, 89.17343099999999 24.020998, 89.12349 24.074984, 89.064925 24.12111, 88.999182 24.158231, 88.92788899999999 24.185426, 88.852814 24.202018, 88.775823 24.207595))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004062-260120142942310/datasets/export for details.
DOI: 10.15468/dl.uy6uw8
title: Occurrence Download

description: A dataset containing 620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Paraguay",
 "OccurrenceStatus is Present",
 "TaxonKey is Procnias nudicollis",
 "Year 1985-2026"
 ]
}

 The dataset includes 620 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004064-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.