cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wy7f66
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gonatozygon de Bary, 1858",
 "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 ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066267-250525065834625/datasets/export for details.
DOI: 10.15468/dl.u7kq3m
title: Occurrence Download

description: A dataset containing 2624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Corvus crassirostris Rüppell, 1836",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 2624 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066266-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctpbd8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gonatozygon de Bary, 1858",
 "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 ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066268-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14283997
title: Performing productivity: Exploring the narratives of state-funded AI projects over a decade in Chile
DOI: 10.5281/zenodo.15725085
title: Performing productivity: Exploring the narratives of state-funded AI projects over a decade in Chile
DOI: 10.15468/dl.ndg2ca
title: Occurrence Download

description: A dataset containing 635 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bursera biflora (Rose) Standl."
 ]
}

 The dataset includes 635 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066270-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtmem7
title: Occurrence Download

description: A dataset containing 1511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Corvus edithae Lort Phillips, 1895",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1511 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066271-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfrhdk
title: Occurrence Download

description: A dataset containing 930 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anaecypris hispanica (Steindachner, 1866)"
 ]
}

 The dataset includes 930 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066269-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcye5k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gonatozygon de Bary, 1858",
 "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 ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066272-250525065834625/datasets/export for details.
DOI: 10.15468/dl.p3r8mc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Corvus frugilegus Linnaeus, 1758",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066273-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29105026
title: Distribution of critical minerals in the Mount Evelyn Pb–Zn–Ag skarn deposit, Pine Creek Orogen, Northern Territory

description: Emerging technologies and the increasing adoption of renewable energy have driven an increase in the demand for critical minerals. To match this demand, new sources of critical minerals need to be developed, prompting research into the critical mineral potential of mine waste, historic and existing deposits. This study assesses the distribution of critical minerals in the historic Mount Evelyn Pb–Zn–Ag skarn deposit, located in the Pine Creek Orogen (PCO), Northern Territory, Australia. Primary sulfide mineralisation at the Mount Evelyn deposit comprises sphalerite and galena with lesser arsenopyrite, pyrrhotite, stannite and tetrahedrite. Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) spot analyses across the sulfide mineralogy reveal that galena is the preferred host of Se (6.73–703.84 ppm), Te (0.31–31.33 ppm) and Tl (0.42–46.07 ppm); stannite is the preferred host of Ge (12.04–22.85 ppm) and In (138–248 ppm); tetrahedrite is the preferred host of Sb (26.97–33.60 wt%); and arsenopyrite is the preferred host of As (42.51–55.05 wt%), Co (10–1401 ppm) and Ni (5–1996 ppm). SEM-based automated mineralogical mapping (AMICS) was conducted across 12 samples to quantify the sulfide mineralogy. Through the combination of AMICS and LA-ICP-MS data, this study calculates the deportment of critical minerals across the analysed sulfide mineralogy. It is shown that sphalerite is the most important carrier of the critical minerals In, Ga and Ge; galena is the most important carrier of Bi, Tl and Te; tetrahedrite is the most important carrier of Sb; pyrrhotite is the most important carrier of Ni; and arsenopyrite is the most important carrier of As and Co. These findings provide a baseline understanding of the critical mineral distribution in mineralogically similar deposits throughout the PCO and globally. The trace-element composition of the sulfide mineralogy from the Mount Evelyn Pb–Zn–Ag deposit is assessed.Galena is the preferential host of Se, Te and Tl; stannite is the preferential host of Ge and In; tetrahedrite is the preferential host of Sb; and arsenopyrite is the preferential host of As, Co and Ni.When mineral abundance is considered, sphalerite becomes the most important carrier of In, Ga and Ge; galena becomes the most important carrier of Bi; and pyrrhotite becomes the most important carrier of Ni. Galena is the preferential host of Se, Te and Tl; stannite is the preferential host of Ge and In; tetrahedrite is the preferential host of Sb; and arsenopyrite is the preferential host of As, Co and Ni. When mineral abundance is considered, sphalerite becomes the most important carrier of In, Ga and Ge; galena becomes the most important carrier of Bi; and pyrrhotite becomes the most important carrier of Ni.
DOI: 10.6084/m9.figshare.29105026.v1
title: Distribution of critical minerals in the Mount Evelyn Pb–Zn–Ag skarn deposit, Pine Creek Orogen, Northern Territory

description: Emerging technologies and the increasing adoption of renewable energy have driven an increase in the demand for critical minerals. To match this demand, new sources of critical minerals need to be developed, prompting research into the critical mineral potential of mine waste, historic and existing deposits. This study assesses the distribution of critical minerals in the historic Mount Evelyn Pb–Zn–Ag skarn deposit, located in the Pine Creek Orogen (PCO), Northern Territory, Australia. Primary sulfide mineralisation at the Mount Evelyn deposit comprises sphalerite and galena with lesser arsenopyrite, pyrrhotite, stannite and tetrahedrite. Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) spot analyses across the sulfide mineralogy reveal that galena is the preferred host of Se (6.73–703.84 ppm), Te (0.31–31.33 ppm) and Tl (0.42–46.07 ppm); stannite is the preferred host of Ge (12.04–22.85 ppm) and In (138–248 ppm); tetrahedrite is the preferred host of Sb (26.97–33.60 wt%); and arsenopyrite is the preferred host of As (42.51–55.05 wt%), Co (10–1401 ppm) and Ni (5–1996 ppm). SEM-based automated mineralogical mapping (AMICS) was conducted across 12 samples to quantify the sulfide mineralogy. Through the combination of AMICS and LA-ICP-MS data, this study calculates the deportment of critical minerals across the analysed sulfide mineralogy. It is shown that sphalerite is the most important carrier of the critical minerals In, Ga and Ge; galena is the most important carrier of Bi, Tl and Te; tetrahedrite is the most important carrier of Sb; pyrrhotite is the most important carrier of Ni; and arsenopyrite is the most important carrier of As and Co. These findings provide a baseline understanding of the critical mineral distribution in mineralogically similar deposits throughout the PCO and globally. The trace-element composition of the sulfide mineralogy from the Mount Evelyn Pb–Zn–Ag deposit is assessed.Galena is the preferential host of Se, Te and Tl; stannite is the preferential host of Ge and In; tetrahedrite is the preferential host of Sb; and arsenopyrite is the preferential host of As, Co and Ni.When mineral abundance is considered, sphalerite becomes the most important carrier of In, Ga and Ge; galena becomes the most important carrier of Bi; and pyrrhotite becomes the most important carrier of Ni. Galena is the preferential host of Se, Te and Tl; stannite is the preferential host of Ge and In; tetrahedrite is the preferential host of Sb; and arsenopyrite is the preferential host of As, Co and Ni. When mineral abundance is considered, sphalerite becomes the most important carrier of In, Ga and Ge; galena becomes the most important carrier of Bi; and pyrrhotite becomes the most important carrier of Ni.
DOI: 10.17632/77nhpfgcmx
title: Activity may not reflect the numbers: an assessment of capture rate and population density of dingoes (Canis familiaris) within landscape-scale cell-fencing.

description: Most human-carnivore conflicts arise from the impact of predation on livestock. In Australian rangelands, considerable resources are allocated to constructing exclusion fences and implementing control measures to manage dingo populations for sustainable livestock enterprise. Assessing the effectiveness of these measures is crucial for justifying the investment. We used a replicated experimental design to examine the effect of landscape-scale dingo-proof exclusion fences (‘cell-fencing’) on activity and population density of dingoes in the Southern Rangelands of Western Australia. We monitored dingo populations for 22-24 months across six study sites nested within a landscape of about 75,000 km2 and defined ‘fence level’ as the number of dingo-proof fences enclosing each study site. We used camera trap capture rate (number of independent capture events per 100 trap nights) as a metric for dingo activity (including the availability of resources as other potential covariates), estimated dingo density using spatially explicit mark-resight models, and tested the relationship between capture rate and estimated density of dingoes for each study site. Significant variation in both metrics was observed between sites and across time. Fence level and prey occurrence significantly influenced dingo activity. The annual mean dingo density estimate across study sites was below 2 dingoes per 100 km2 (i.e., 0.02 dingoes per km2; the maximum value believed to be compatible with small livestock) at only one study site in the first year, but it was higher across all sites during the second year of monitoring. Dingo activity correlated with estimated dingo density at only two sites, suggesting differences in dingo behaviour and detection across the six study sites. This study provides experimental evidence that camera trap capture rate is not a reliable method for assessing variations in the population size of dingoes. These results have implications for monitoring outcomes of dingo control programs across Australia.
DOI: 10.17632/77nhpfgcmx.1
title: Activity may not reflect the numbers: an assessment of capture rate and population density of dingoes (Canis familiaris) within landscape-scale cell-fencing.

description: Most human-carnivore conflicts arise from the impact of predation on livestock. In Australian rangelands, considerable resources are allocated to constructing exclusion fences and implementing control measures to manage dingo populations for sustainable livestock enterprise. Assessing the effectiveness of these measures is crucial for justifying the investment. We used a replicated experimental design to examine the effect of landscape-scale dingo-proof exclusion fences (‘cell-fencing’) on activity and population density of dingoes in the Southern Rangelands of Western Australia. We monitored dingo populations for 22-24 months across six study sites nested within a landscape of about 75,000 km2 and defined ‘fence level’ as the number of dingo-proof fences enclosing each study site. We used camera trap capture rate (number of independent capture events per 100 trap nights) as a metric for dingo activity (including the availability of resources as other potential covariates), estimated dingo density using spatially explicit mark-resight models, and tested the relationship between capture rate and estimated density of dingoes for each study site. Significant variation in both metrics was observed between sites and across time. Fence level and prey occurrence significantly influenced dingo activity. The annual mean dingo density estimate across study sites was below 2 dingoes per 100 km2 (i.e., 0.02 dingoes per km2; the maximum value believed to be compatible with small livestock) at only one study site in the first year, but it was higher across all sites during the second year of monitoring. Dingo activity correlated with estimated dingo density at only two sites, suggesting differences in dingo behaviour and detection across the six study sites. This study provides experimental evidence that camera trap capture rate is not a reliable method for assessing variations in the population size of dingoes. These results have implications for monitoring outcomes of dingo control programs across Australia.
DOI: 10.17632/8vs5cyct72
title: Data from: Activity may not reflect the numbers: an assessment of capture rate and population density of dingoes (Canis familiaris) within landscape-scale cell-fencing.

description: Most human-carnivore conflicts arise from the impact of predation on livestock. In Australian rangelands, considerable resources are allocated to constructing exclusion fences and implementing control measures to manage dingo populations for sustainable livestock enterprise. Assessing the effectiveness of these measures is crucial for justifying the investment. We used a replicated experimental design to examine the effect of landscape-scale dingo-proof exclusion fences (‘cell-fencing’) on activity and population density of dingoes in the Southern Rangelands of Western Australia. We monitored dingo populations for 22-24 months across six study sites nested within a landscape of about 75,000 km2 and defined ‘fence level’ as the number of dingo-proof fences enclosing each study site. We used camera trap capture rate (number of independent capture events per 100 trap nights) as a metric for dingo activity (including the availability of resources as other potential covariates), estimated dingo density using spatially explicit mark-resight models, and tested the relationship between capture rate and estimated density of dingoes for each study site. Significant variation in both metrics was observed between sites and across time. Fence level and prey occurrence significantly influenced dingo activity. The annual mean dingo density estimate across study sites was below 2 dingoes per 100 km2 (i.e., 0.02 dingoes per km2; the maximum value believed to be compatible with small livestock) at only one study site in the first year, but it was higher across all sites during the second year of monitoring. Dingo activity correlated with estimated dingo density at only two sites, suggesting differences in dingo behaviour and detection across the six study sites. This study provides experimental evidence that camera trap capture rate is not a reliable method for assessing variations in the population size of dingoes. These results have implications for monitoring outcomes of dingo control programs across Australia.
DOI: 10.17632/8vs5cyct72.1
title: Data from: Activity may not reflect the numbers: an assessment of capture rate and population density of dingoes (Canis familiaris) within landscape-scale cell-fencing.

description: Most human-carnivore conflicts arise from the impact of predation on livestock. In Australian rangelands, considerable resources are allocated to constructing exclusion fences and implementing control measures to manage dingo populations for sustainable livestock enterprise. Assessing the effectiveness of these measures is crucial for justifying the investment. We used a replicated experimental design to examine the effect of landscape-scale dingo-proof exclusion fences (‘cell-fencing’) on activity and population density of dingoes in the Southern Rangelands of Western Australia. We monitored dingo populations for 22-24 months across six study sites nested within a landscape of about 75,000 km2 and defined ‘fence level’ as the number of dingo-proof fences enclosing each study site. We used camera trap capture rate (number of independent capture events per 100 trap nights) as a metric for dingo activity (including the availability of resources as other potential covariates), estimated dingo density using spatially explicit mark-resight models, and tested the relationship between capture rate and estimated density of dingoes for each study site. Significant variation in both metrics was observed between sites and across time. Fence level and prey occurrence significantly influenced dingo activity. The annual mean dingo density estimate across study sites was below 2 dingoes per 100 km2 (i.e., 0.02 dingoes per km2; the maximum value believed to be compatible with small livestock) at only one study site in the first year, but it was higher across all sites during the second year of monitoring. Dingo activity correlated with estimated dingo density at only two sites, suggesting differences in dingo behaviour and detection across the six study sites. This study provides experimental evidence that camera trap capture rate is not a reliable method for assessing variations in the population size of dingoes. These results have implications for monitoring outcomes of dingo control programs across Australia.
DOI: 10.17632/xwyp488zhh.1
title: Bruises of a lateral compartment of the knee as the risk factor of a lateral meniscus injury in the setting of an anterior cruciate ligament tear – a systematic review protocol

description: A Protokoll of a systematic review concerning bruises of a lateral compartment of the knee as the risk factor of a lateral meniscus injury in the setting of an anterior cruciate ligament tear
DOI: 10.15468/dl.wkxj5f
title: Occurrence Download

description: A dataset containing 931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.19219 -14.38721,-74.1439 -15.55175,-76.49743 -18.24278,-72.99584 -20.30173,-68.51838 -21.00002,-65.64822 -18.62399,-67.94435 -14.55396,-72.19219 -14.38721))",
 "HasGeospatialIssue is false",
 "TaxonKey is Tinamotis pentlandii Vigors, 1837"
 ]
}

 The dataset includes 931 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066274-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kug6qp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gonatozygon de Bary, 1858",
 "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 ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066275-250525065834625/datasets/export for details.
DOI: 10.15468/dl.fxp5sy
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bursera cuneata (Schltdl.) Engl."
 ]
}

 The dataset includes 777 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066276-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqkqp7
title: Occurrence Download

description: A dataset containing 3918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Corvus monedula Linnaeus, 1758",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 3918 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066277-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.