cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29724008.v2
title: RISKY | Wildlife-friendly energy and transport infrastructures

description: Here you can find shapefiles from different publications with sensitivity maps<b>Grilo et al 2021 N_Mammals</b> has the number of mammal species for which roadkill of &lt;20% of their population can lead to an increase of 10% of risk extinction published at <i>Grilo,</i><i>C.</i><i>,</i><i> </i><i>Borda-de-Água</i><i>L.</i><i>,</i><i> </i><i>Beja</i><i>P.</i><i>,</i><i> </i><i>Goolsby</i><i>E.</i><i>,</i><i> </i><i>Soanes</i><i>K.</i><i>,</i><i> </i><i>le Roux</i><i>A.</i><i>,</i><i> </i><i>Koroleva</i><i>E.</i><i>,</i><i> </i><i>Ferreira</i><i>F. Z.</i><i>,</i><i> </i><i>Gagné</i><i>S. A.</i><i>,</i><i> </i><i>Wang</i><i>Y.</i><i>, &</i><i> </i><i>González-Suárez</i><i>M.</i><i> </i><i>(</i><i>2021</i><i>).</i><i> </i><i>Conservation threats from roadkill in the global road network</i><i>.</i><i> </i><i>Global Ecology and Biogeography</i><i>,</i><i> </i><i>30</i><i>,</i><i> </i><i>2200</i><i>–</i><i>2210</i><i>.</i><i> </i><i>https://doi.org/10.1111/geb.13375</i><b>Medrano-Vizcaino et al 2022 Fig 4a - </b>Total numbers were calculated by multiplying roadkill rates [individuals (ind) per kilometre per year] predicted for each species and grid cell using random regression models and species traits and location data by the total length of existing main roads (in kilometres) in each grid cell. At<b> </b><i>Medrano-Vizcaíno,</i><i>P.</i><i>,</i><i> </i><i>Grilo,</i><i>C.</i><i>,</i><i> </i><i>Silva Pinto,</i><i>F. A.</i><i>,</i><i> </i><i>Carvalho,</i><i>W. D.</i><i>,</i><i> </i><i>Melinski,</i><i>R. D.</i><i>,</i><i> </i><i>Schultz,</i><i>E. D.</i><i>, &</i><i> </i><i>González-Suárez,</i><i>M.</i><i> </i><i>(</i><i>2022</i><i>).</i><i> </i><i>Roadkill patterns in Latin American birds and mammals</i><i>.</i><i> </i><i>Global Ecology and Biogeography</i><i>,</i><i> </i><i>31</i><i>,</i><i> </i><i>1756</i><i>–</i><i>1783</i><i>.</i><i> </i><i>https://doi.org/10.1111/geb.13557</i><b>Medrano-Vizcaino et al 2022 Fig 4b - </b>Total numbers were calculated by multiplying roadkill rates [individuals (ind) per kilometre per year] predicted for each species and grid cell using random regression models and species traits and location data by the total length of existing main roads (in kilometres) in each grid cell. At<b> </b><i>Medrano-Vizcaíno,</i><i>P.</i><i>,</i><i> </i><i>Grilo,</i><i>C.</i><i>,</i><i> </i><i>Silva Pinto,</i><i>F. A.</i><i>,</i><i> </i><i>Carvalho,</i><i>W. D.</i><i>,</i><i> </i><i>Melinski,</i><i>R. D.</i><i>,</i><i> </i><i>Schultz,</i><i>E. D.</i><i>, &</i><i> </i><i>González-Suárez,</i><i>M.</i><i> </i><i>(</i><i>2022</i><i>).</i><i> </i><i>Roadkill patterns in Latin American birds and mammals</i><i>.</i><i> </i><i>Global Ecology and Biogeography</i><i>,</i><i> </i><i>31</i><i>,</i><i> </i><i>1756</i><i>–</i><i>1783</i><i>.</i><i> </i><i>https://doi.org/10.1111/geb.13557</i><br><br><br><br>
DOI: 10.15468/dl.z7s525
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Occurrence evidence)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Xylopia holtzii"
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081978-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqpmrw
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crossodactylus schmidti"
 ]
}

 The dataset includes 246 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081979-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rckna9
title: Occurrence Download

description: A dataset containing 1265692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is DOF/BirdLife Denmark - Observations from DOFbasen",
 "EventDate is 2013-01-01,2013-12-31"
 ]
}

 The dataset includes 1265692 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081971-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqjqj5
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((73.232041 23.5918, 73.15541399999999 23.586223, 73.080693 23.569631, 73.00973399999999 23.542436, 72.944299 23.505315, 72.88600700000001 23.459189, 72.83629500000001 23.405202, 72.796385 23.344693, 72.767251 23.279158, 72.74959699999999 23.210218, 72.74383899999999 23.139573, 72.750102 23.068965, 72.76821200000001 23.00013, 72.797708 22.93476, 72.83785 22.874457, 72.887641 22.8207, 72.945854 22.774803, 73.01105699999999 22.737889, 73.081654 22.710859, 73.155919 22.694373, 73.232041 22.688832, 73.30816299999999 22.694373, 73.382428 22.710859, 73.453025 22.737889, 73.51822799999999 22.774803, 73.576441 22.8207, 73.626232 22.874457, 73.666374 22.93476, 73.69587 23.00013, 73.71398000000001 23.068965, 73.720243 23.139573, 73.714485 23.210218, 73.696831 23.279158, 73.667697 23.344693, 73.627787 23.405202, 73.578075 23.459189, 73.519783 23.505315, 73.454348 23.542436, 73.38338899999999 23.569631, 73.308668 23.586223, 73.232041 23.5918))"},{"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 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081982-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32d5af
title: Occurrence Download

description: A dataset containing 32749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Turnera candida, Turnera diffusa, Turnera hermannioides, Turnera hindsiana, Turnera melochioides, Turnera opifera, Turnera pumilea, Turnera subulata, Vellozia cinerascens, Casselia zelota, Lantana caatingensis, Lantana pohliana, Lippia grata, Lippia origanoides, Lippia schaueriana, Stachytarpheta canescens, Stachytarpheta martiana, Stachytarpheta microphylla, Cissus bahiensis, Cissus palmata, Cissus spinosa, Cissus decidua, Qualea parviflora, Qualea cryptantha, Xyris savanensis)",
 "BasisOfRecord is Specimen",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 32749 records from 408 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081980-251120083545085/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.29724008.v3
title: RISKY | Wildlife-friendly energy and transport infrastructures

description: Here you can find shapefiles from different publications with sensitivity maps<b>Grilo et al 2021 N_Mammals</b> has the number of mammal species for which roadkill of &lt;20% of their population can lead to an increase of 10% of risk extinction published at <i>Grilo,</i><i>C.</i><i>,</i><i> </i><i>Borda-de-Água</i><i>L.</i><i>,</i><i> </i><i>Beja</i><i>P.</i><i>,</i><i> </i><i>Goolsby</i><i>E.</i><i>,</i><i> </i><i>Soanes</i><i>K.</i><i>,</i><i> </i><i>le Roux</i><i>A.</i><i>,</i><i> </i><i>Koroleva</i><i>E.</i><i>,</i><i> </i><i>Ferreira</i><i>F. Z.</i><i>,</i><i> </i><i>Gagné</i><i>S. A.</i><i>,</i><i> </i><i>Wang</i><i>Y.</i><i>, &</i><i> </i><i>González-Suárez</i><i>M.</i><i> </i><i>(</i><i>2021</i><i>).</i><i> </i><i>Conservation threats from roadkill in the global road network</i><i>.</i><i> </i><i>Global Ecology and Biogeography</i><i>,</i><i> </i><i>30</i><i>,</i><i> </i><i>2200</i><i>–</i><i>2210</i><i>.</i><i> </i><i>https://doi.org/10.1111/geb.13375</i><b>Medrano-Vizcaino et al 2022 Fig 4a - </b>Total numbers were calculated by multiplying roadkill rates [individuals (ind) per kilometre per year] predicted for each species and grid cell using random regression models and species traits and location data by the total length of existing main roads (in kilometres) in each grid cell. At<b> </b><i>Medrano-Vizcaíno,</i><i>P.</i><i>,</i><i> </i><i>Grilo,</i><i>C.</i><i>,</i><i> </i><i>Silva Pinto,</i><i>F. A.</i><i>,</i><i> </i><i>Carvalho,</i><i>W. D.</i><i>,</i><i> </i><i>Melinski,</i><i>R. D.</i><i>,</i><i> </i><i>Schultz,</i><i>E. D.</i><i>, &</i><i> </i><i>González-Suárez,</i><i>M.</i><i> </i><i>(</i><i>2022</i><i>).</i><i> </i><i>Roadkill patterns in Latin American birds and mammals</i><i>.</i><i> </i><i>Global Ecology and Biogeography</i><i>,</i><i> </i><i>31</i><i>,</i><i> </i><i>1756</i><i>–</i><i>1783</i><i>.</i><i> </i><i>https://doi.org/10.1111/geb.13557</i><b>Medrano-Vizcaino et al 2022 Fig 4b - </b>Total numbers were calculated by multiplying roadkill rates [individuals (ind) per kilometre per year] predicted for each species and grid cell using random regression models and species traits and location data by the total length of existing main roads (in kilometres) in each grid cell. At<b> </b><i>Medrano-Vizcaíno,</i><i>P.</i><i>,</i><i> </i><i>Grilo,</i><i>C.</i><i>,</i><i> </i><i>Silva Pinto,</i><i>F. A.</i><i>,</i><i> </i><i>Carvalho,</i><i>W. D.</i><i>,</i><i> </i><i>Melinski,</i><i>R. D.</i><i>,</i><i> </i><i>Schultz,</i><i>E. D.</i><i>, &</i><i> </i><i>González-Suárez,</i><i>M.</i><i> </i><i>(</i><i>2022</i><i>).</i><i> </i><i>Roadkill patterns in Latin American birds and mammals</i><i>.</i><i> </i><i>Global Ecology and Biogeography</i><i>,</i><i> </i><i>31</i><i>,</i><i> </i><i>1756</i><i>–</i><i>1783</i><i>.</i><i> </i><i>https://doi.org/10.1111/geb.13557</i><br><br><br><br>
DOI: 10.15468/dl.ktn6gt
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Diceraeus furcatus"
 ]
}

 The dataset includes 244 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081985-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-858199
title: Resilience, Ethnicity, and Adolescent Mental Health: Diary Study, 2020-2022

description: This study sought to answer the research question: how did socioeconomic disadvantage shape young people’s academic experiences and mental health in the UK during the COVID-19 pandemic? We employed digital qualitative diary methods (QDMs) to gather rich, context-based opinions and experiences directly from adolescents over the course of a tumultuous period of school openings and closures. In centring the voices of adolescents from disadvantaged backgrounds we acknowledge the equity gap in previous research, which has neglected perspectives from marginalised and minoritised groups, and relied predominantly on the use of quantitative online surveys. In doing so, we address the need for more inclusive and nuanced research approaches when examining the experiences of disadvantaged young people during the pandemic. 

Drawing on an educational stressors hypothesis we see how the social change caused by the pandemic impacted young people’s ability to perform at school and exacerbated the importance attached to academic success, therein, creating intolerable pressures. We present three key themes that demonstrate how socioeconomic disadvantage contributed to the cumulative impact of educational stressors on mental health, via a process of meaning negotiation: ‘All that matters is work’ reveals how the COVID crises heightened awareness of social inequality and instability, reinforcing the perceived role of education for determining future success; ‘Mounting disadvantage’ demonstrates how stressors at home accumulated and undermined young peoples’ confidence and ability to perform at school; ‘Keeping your head above water’ captures experiences of acute distress arising from the pursuit and prioritisation of academic success in the context of perceived social and educational inequalities. We propose examining targeted support strategies that could help adolescents with competing responsibilities to achieve at school, and in parallel, promoting inclusive education systems that alleviate the stakes attached to academic success.
DOI: 10.5255/ukda-sn-858078
title: Resilience, Ethnicity, and Adolescent Mental Health: Metadata and Documentation, 2015-2025

description: REACH (Resilience, Ethnicity, and AdolesCent Mental Health) is a school-based accelerated cohort study in inner-city London, UK. REACH comprises three cohorts which were established to provide detailed and extensive information on the nature, distribution, and determinants of mental health among young people from diverse backgrounds and densely populated inner-city areas. Specifically, REACH is designed to test several hypotheses concerning: (i) the extent, nature, and development of mental health problems among young people; (ii) variations by gender, ethnic group, and socioeconomic status; (iii) risk and protective factors; and (iv) mechanisms linking risk/protective factors and mental health. 

The dataset comprises a wide range of information on mental health, putative risk and protective factors, and demographics and social circumstances. Linkages to data routinely collected by schools is ongoing. For a nested subsample, further information on mental health, social experiences and circumstances, social cognition, neurocognition, and hypothlamic-pituitary-adrenal (HPA) axis activation (cortisol from hair samples) is available. 

To the best of our knowledge, REACH is the largest and most comprehensive contemporary study of mental health among young people from diverse inner-city areas in the UK. The highly diverse and representative REACH cohorts are drawn from two of the most densely populated and socioeconomically and ethnically diverse boroughs in England, Lambeth and Southwark, London. These boroughs consistently rank among the 20% most deprived boroughs in the country. The prevalence of adult mental disorders is around two times higher in these boroughs compared with national estimates. REACH provides important new data about the development and trajectories of mental health problems in diverse groups and investigates why, despite similar experiences and circumstances, some young people develop mental health problems whereas others do not. In doing so, REACH will inform the development of interventions to promote mental health and prevent mental health problems in young people from all backgrounds.
DOI: 10.15468/dl.xf232z
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Diceraeus melacanthus"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081987-251120083545085/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.30996205.v1
title: <b>Challenging the Efficient Market Hypothesis:</b><b> </b><b>A Novel India VIX-RSI Composite and its Predictive Power in a Multivariate ARDL Framework</b> - Dataset

description: This study addresses a critical gap in modelling India’s equity market by challenging the weak-form Efficient Market Hypothesis (EMH) and moving beyond conventional linear framework. We pioneer a novel investor sentiment proxy, the India VIX-RSI composite, which synergistically captures market fear and momentum. Integrating this with valuation multiples (P/B and P/E ratios) and primary market resource mobilization -a previously neglected variable – we employ an Autoregressive Distributed Lag (ARDL) model on monthly data (2011-2025) to analyze short-run dynamics and long-run equilibria. The results provide compelling evidence against weak-form EMH. The India VIX-RSI composite demonstrates significant pre3dictive power, identifying high-risk “overbought and volatile” regimes as reliable contrarian indicators for short-term corrections. Valuation multiples act as potent contemporaneous mediators of returns. While global factors (MSCI World Index) anchor long-run cointegration, a significant error correction term confirms the market’s inherent efficiency in converging to fundamental values over time. We conclude that the Indian equity market exhibits a fundamental duality: it permits short-term exploitable inefficiencies driven by behavioral sentiment, yet maintains semi-strong form efficiency in the long-run. These findings offer profound implications, providing investors with a tactical tool for regime identification and furnishing policymakers with insights to enhance market stability and resilience.
DOI: 10.13140/rg.2.2.23470.37442
title: tank leak test preparation
DOI: 10.15468/dl.evf7xh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Occurrence evidence)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Philenoptera wankieensis"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081989-251120083545085/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.30436759
title: Pollen and faunal datasets

description: Paleoenvironmental reconstructions in southern Africa have often relied on isolated or fragmentary records, limiting our understanding of ecosystem dynamics during the Middle Stone Age (c. 300–40 ka). Here, we reassess vegetation and climate change between Marine Isotope Stages (MIS) 5 and 3 using high-resolution pollen records from two deep-sea cores—MD96-2048 (eastern margin) and MD96-2098 (western margin)—and contextualize these data with other marine (MD20-3592; 3CD154-17-17K) and terrestrial records. The pollen sequences reveal coherent, regionally synchronous trends: glacial periods were cooler and wetter, reflected in the expansion of Fynbos and Afromontane Forest, while interglacials were drier, marked by forest retreat and Nama-Karoo spread. In contrast to terrestrial records, which often reflect localized and inconsistent patterns due to taphonomic and ecological factors, these offshore archives provide a robust sub-continental signal. Comparisons with archaeological data suggest that the Still Bay (SB) technocomplex emerged near the MIS 5a/4 transition, during a humid phase of elevated environmental productivity. The Howiesons Poort (HP) technocomplex appeared slightly later (~68–64 ka), under conditions of climatic instability and ecological fragmentation. These contrasting ecological backdrops imply that cultural change was not driven by climate alone, but by complex interactions between environmental variability, technological innovation, and population connectivity.
DOI: 10.6084/m9.figshare.30436759.v1
title: Pollen and faunal datasets

description: Paleoenvironmental reconstructions in southern Africa have often relied on isolated or fragmentary records, limiting our understanding of ecosystem dynamics during the Middle Stone Age (c. 300–40 ka). Here, we reassess vegetation and climate change between Marine Isotope Stages (MIS) 5 and 3 using high-resolution pollen records from two deep-sea cores—MD96-2048 (eastern margin) and MD96-2098 (western margin)—and contextualize these data with other marine (MD20-3592; 3CD154-17-17K) and terrestrial records. The pollen sequences reveal coherent, regionally synchronous trends: glacial periods were cooler and wetter, reflected in the expansion of Fynbos and Afromontane Forest, while interglacials were drier, marked by forest retreat and Nama-Karoo spread. In contrast to terrestrial records, which often reflect localized and inconsistent patterns due to taphonomic and ecological factors, these offshore archives provide a robust sub-continental signal. Comparisons with archaeological data suggest that the Still Bay (SB) technocomplex emerged near the MIS 5a/4 transition, during a humid phase of elevated environmental productivity. The Howiesons Poort (HP) technocomplex appeared slightly later (~68–64 ka), under conditions of climatic instability and ecological fragmentation. These contrasting ecological backdrops imply that cultural change was not driven by climate alone, but by complex interactions between environmental variability, technological innovation, and population connectivity.
DOI: 10.6084/m9.figshare.30436759.v2
title: Pollen and faunal datasets

description: Paleoenvironmental reconstructions in southern Africa have often relied on isolated or fragmentary records, limiting our understanding of ecosystem dynamics during the Middle Stone Age (c. 300–40 ka). Here, we reassess vegetation and climate change between Marine Isotope Stages (MIS) 5 and 3 using high-resolution pollen records from two deep-sea cores—MD96-2048 (eastern margin) and MD96-2098 (western margin)—and contextualize these data with other marine (MD20-3592; 3CD154-17-17K) and terrestrial records. The pollen sequences reveal coherent, regionally synchronous trends: glacial periods were cooler and wetter, reflected in the expansion of Fynbos and Afromontane Forest, while interglacials were drier, marked by forest retreat and Nama-Karoo spread. In contrast to terrestrial records, which often reflect localized and inconsistent patterns due to taphonomic and ecological factors, these offshore archives provide a robust sub-continental signal. Comparisons with archaeological data suggest that the Still Bay (SB) technocomplex emerged near the MIS 5a/4 transition, during a humid phase of elevated environmental productivity. The Howiesons Poort (HP) technocomplex appeared slightly later (~68–64 ka), under conditions of climatic instability and ecological fragmentation. These contrasting ecological backdrops imply that cultural change was not driven by climate alone, but by complex interactions between environmental variability, technological innovation, and population connectivity.
DOI: 10.15468/dl.qucmxx
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anthonomus grandis"
 ]
}

 The dataset includes 66 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081990-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.