cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v7ddfv
title: Occurrence Download

description: A dataset containing 11219 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oedemera femorata"
 ]
}

 The dataset includes 11219 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008083-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18462304
title: Supplementary Material for Site‑Tailored Design of Integrated WEFE Systems Using Open‑Source Software - Case Studies of Arusí and Maiapo, Colombia
DOI: 10.5281/zenodo.18462305
title: Supplementary Material for Site‑Tailored Design of Integrated WEFE Systems Using Open‑Source Software - Case Studies of Arusí and Maiapo, Colombia
DOI: 10.15468/dl.57xq5z
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meriania albiflora",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008086-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/4qv2jk
title: Utah Tech University Herbarium

description: The collections of Utah Technical University&rsquo;s Museum/herbarium were originally made solely to help students become familiar with the area&rsquo;s plants and animals. With the institution&rsquo;s change from a two-year college in 2013, its commitment to technology education, and the growing importance of biodiversity informatics led to the decision to start digitizing the existing collection and using it to help ensure students become familiar with the new tools being developed for recording, sharing, and using specimen-based biodiversity information.
DOI: 10.15468/w5g8jz
title: University of Nevada, Reno (UNR) Herbarium
DOI: 10.15468/dl.7run9k
title: Occurrence Download

description: A dataset containing 7895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamilus fragilis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 7895 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008087-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/hkskhr
title: Utah Valley University Herbarium

description: The Utah Valley University Herbarium (UVSC) was established in 1987 as a research and teaching facility by Dr. James G. Harris. As a result of his research, the herbarium contains a diverse collection of specimens from Greenland, Canada, and high elevation mountain ranges in the Intermountain Region. In addition, UVSC has one of the most comprehensive collections of the genus Braya (Brassicaceae) outside of Canada and the genus Draba (Brassicaceae) in Utah. The herbarium has extensive Utah collections from the deserts of the San Rafael Swell, high elevation mountain peaks in along the Wasatch Front (i.e. Mt. Timpanogos, Mt. Nebo) and the Deep Creek Range. Recently, vouchers from Dr. Renee Van Buren's book, Woody Plant of Utah, have been processed and integrated into the herbarium. Currently the herbarium houses over 17,000 accessioned herbarium sheets, with an average of 1,500 specimens being added to the collection each year. Past curator Dr. Jason A. Alexander was a specialist in desert floras, specifically the Mojave Desert and the Great Basin, and the genus Astragalus (Fabaceae).
DOI: 10.15468/dl.ru5fxm
title: Occurrence Download

description: A dataset containing 130012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Filipendula ulmaria, Filipendula ulmaria, Spiraea ulmaria, Spiraea ulmaria, Spiraea ulmaria)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 130012 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008054-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/kpsj8r
title: Brown University - Algae
DOI: 10.15468/mnruvf
title: Butler University - Algae
DOI: 10.5281/zenodo.18456088
title: The Hidden Routes of DNA Photostability: Charge and Proton Transfer in Excited Cytosine-Guanine Tetramers - Supporting Information

description: Folders containing initial conditions information for alternating and non-alternating (GC)2 tetramers.

Folders with surface hopping dynamics results for both tetramers and respective file lists.
DOI: 10.5281/zenodo.18456089
title: The Hidden Routes of DNA Photostability: Charge and Proton Transfer in Excited Cytosine-Guanine Tetramers - Supporting Information

description: Folders containing initial conditions information for alternating and non-alternating (GC)2 tetramers.

Folders with surface hopping dynamics results for both tetramers and respective file lists.
DOI: 10.15468/dl.mz4cn7
title: Occurrence Download

description: A dataset containing 17542 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ochotona princeps"
 ]
}

 The dataset includes 17542 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008089-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16916779
title: Supplementary code for the preprint: "Dynamics of Vapor Intrusion under Varying Source Strength"
DOI: 10.5281/zenodo.16916780
title: Supplementary code for the preprint: "Dynamics of Vapor Intrusion under Varying Source Strength"
DOI: 10.15468/dl.rwcgbg
title: Occurrence Download

description: A dataset listing the 2393 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Insect Species Occurrence Data from Multiple Projects Worldwide with Focus on Bees and Wasps in North America"
 ]
}

 The dataset's 2393 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027403-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prxm2h
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34.59706 -13.69049,34.59009 -13.69329,34.58991 -13.70135,34.58937 -13.7084,34.59434 -13.7056,34.59986 -13.70325,34.61127 -13.70406,34.60873 -13.69736,34.60366 -13.69221,34.59706 -13.69049))",
 "IucnRedListCategory is LC",
 "OccurrenceStatus is Present",
 "Year 2013-2025"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027413-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvk9pa
title: Occurrence Download

description: A dataset containing 711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris ferruginea",
 "Year 2020-2025"
 ]
}

 The dataset includes 711 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027411-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14957181
title: Agro-Exports and Economic Growth: A Case Study of Lambayeque, Peru (2010-2023)

description: Agro-export trade has been a fundamental pillar in the economic development of numerous countries, contributing to job creation, foreign exchange earnings, and enhanced competitiveness in international markets. While various studies have examined the relationship between exports and economic growth at the national level, there is limited empirical evidence analyzing this link at the subnational level. This study focuses on the Lambayeque region, one of Peru’s leading agro-exporting areas, to assess the contribution of agro-exports to regional economic growth from 2010 to 2023. Using annual data from INEI and BCRP, a quantitative, non-experimental, and longitudinal methodology was applied, based on the Ordinary Least Squares (OLS) method and supported by econometric tests. The results reveal that agro-exports account for 93.1% of the variability in regional economic growth. Agricultural exports, particularly coffee, blueberries, and avocados, had a positive and significant impact on gross value added, whereas livestock exports showed no statistically significant relationship. These findings confirm that the agro-export sector has been a key driver of economic growth in Lambayeque. However, they also highlight the need to diversify the export portfolio to reduce vulnerability to market fluctuations. This study provides valuable empirical evidence on the impact of agro-exports in a specific region of Peru, contributing to the literature on trade and economic development. The results can serve as a reference for policymakers and future research in regions with similar production structures.
DOI: 10.5281/zenodo.14957182
title: Agro-Exports and Economic Growth: A Case Study of Lambayeque, Peru (2010-2023)

description: Agro-export trade has been a fundamental pillar in the economic development of numerous countries, contributing to job creation, foreign exchange earnings, and enhanced competitiveness in international markets. While various studies have examined the relationship between exports and economic growth at the national level, there is limited empirical evidence analyzing this link at the subnational level. This study focuses on the Lambayeque region, one of Peru’s leading agro-exporting areas, to assess the contribution of agro-exports to regional economic growth from 2010 to 2023. Using annual data from INEI and BCRP, a quantitative, non-experimental, and longitudinal methodology was applied, based on the Ordinary Least Squares (OLS) method and supported by econometric tests. The results reveal that agro-exports account for 93.1% of the variability in regional economic growth. Agricultural exports, particularly coffee, blueberries, and avocados, had a positive and significant impact on gross value added, whereas livestock exports showed no statistically significant relationship. These findings confirm that the agro-export sector has been a key driver of economic growth in Lambayeque. However, they also highlight the need to diversify the export portfolio to reduce vulnerability to market fluctuations. This study provides valuable empirical evidence on the impact of agro-exports in a specific region of Peru, contributing to the literature on trade and economic development. The results can serve as a reference for policymakers and future research in regions with similar production structures.
DOI: 10.5281/zenodo.15571966
title: Agro-Exports and Economic Growth: A Case Study of Lambayeque, Peru (2010-2023)

description: Agro-export trade has been a fundamental pillar in the economic development of numerous countries, contributing to job creation, foreign exchange earnings, and enhanced competitiveness in international markets. While various studies have examined the relationship between exports and economic growth at the national level, there is limited empirical evidence analyzing this link at the subnational level. This study focuses on the Lambayeque region, one of Peru’s leading agro-exporting areas, to assess the contribution of agro-exports to regional economic growth from 2010 to 2023. Using annual data from INEI and BCRP, a quantitative, non-experimental, and longitudinal methodology was applied, based on the Ordinary Least Squares (OLS) method and supported by econometric tests. The results reveal that agro-exports account for 93.1% of the variability in regional economic growth. Agricultural exports, particularly coffee, blueberries, and avocados, had a positive and significant impact on gross value added, whereas livestock exports showed no statistically significant relationship. These findings confirm that the agro-export sector has been a key driver of economic growth in Lambayeque. However, they also highlight the need to diversify the export portfolio to reduce vulnerability to market fluctuations. This study provides valuable empirical evidence on the impact of agro-exports in a specific region of Peru, contributing to the literature on trade and economic development. The results can serve as a reference for policymakers and future research in regions with similar production structures.
DOI: 10.25399/unisadata.29994217
title: Protecting the resource: an assessment of mitigation methods used to protect large trees from African elephant impact in a savanna system

description: African elephants (<i>Loxodonta africana</i>) can alter the structural components of savanna ecosystems, often through the reduction of the large tree (&gt;5 m height) cover component. Elephant impact can be amplified in small, protected areas, or areas where water is readily available to elephants. One management option is to protect large trees directly using applied mitigation methods to limit elephant impact. In this paper, we assessed and compared the effectiveness and logistical requirements of four mitigation methods that have been applied to protect large trees from elephant impact in South Africa's Greater Kruger National Park - namely African honeybees (<i>Apis mellifera scutellata</i>) in beehives; creosote oil in glass jars, concrete pyramids arranged in circles around trees, as well as wire-netting the trees' main stems. For each method, elephant impact levels and tree mortality rates were measured over a 2–5-year period depending on the method in use. Sample sizes ranged from 43 to 59 trees per mitigation method, with a comparable control, which was a tree of the same species and morphological dimensions but lacking any mitigation application. Beehives were the most effective method at reducing tree loss, significantly reducing tree mortality from 34% (6.8%/year) in control trees to only 10% (2%/year) over the five-year experimental period. However, beehives were the most expensive method to apply to a tree, although this cost can be compensated through honey sales. Concrete pyramids reduced tree loss when the combined pyramid radius was &gt;1.5 m in length, whilst wire-netting was effective against bark-stripping by elephants but was still vulnerable to heavier forms of impact such as uprooting and stem snapping. Creosote jars did not prevent elephants from impacting treated trees. Our results provide managers with a toolkit for protecting large trees against elephant impact, commenting on both the efficacy and the logistical constraints for each method.
DOI: 10.25399/unisadata.29994217.v1
title: Protecting the resource: an assessment of mitigation methods used to protect large trees from African elephant impact in a savanna system

description: African elephants (<i>Loxodonta africana</i>) can alter the structural components of savanna ecosystems, often through the reduction of the large tree (&gt;5 m height) cover component. Elephant impact can be amplified in small, protected areas, or areas where water is readily available to elephants. One management option is to protect large trees directly using applied mitigation methods to limit elephant impact. In this paper, we assessed and compared the effectiveness and logistical requirements of four mitigation methods that have been applied to protect large trees from elephant impact in South Africa's Greater Kruger National Park - namely African honeybees (<i>Apis mellifera scutellata</i>) in beehives; creosote oil in glass jars, concrete pyramids arranged in circles around trees, as well as wire-netting the trees' main stems. For each method, elephant impact levels and tree mortality rates were measured over a 2–5-year period depending on the method in use. Sample sizes ranged from 43 to 59 trees per mitigation method, with a comparable control, which was a tree of the same species and morphological dimensions but lacking any mitigation application. Beehives were the most effective method at reducing tree loss, significantly reducing tree mortality from 34% (6.8%/year) in control trees to only 10% (2%/year) over the five-year experimental period. However, beehives were the most expensive method to apply to a tree, although this cost can be compensated through honey sales. Concrete pyramids reduced tree loss when the combined pyramid radius was &gt;1.5 m in length, whilst wire-netting was effective against bark-stripping by elephants but was still vulnerable to heavier forms of impact such as uprooting and stem snapping. Creosote jars did not prevent elephants from impacting treated trees. Our results provide managers with a toolkit for protecting large trees against elephant impact, commenting on both the efficacy and the logistical constraints for each method.
DOI: 10.25399/unisadata.29994214
title: S62 | NORMANEWS2 | NormaNEWS2: Retrospective Screening of New Emerging Contaminants

description: This is the collection associated with list S62 NORMANEWS2 on the NORMAN Suspect List Exchange.https://www.norman-network.com/nds/SLE/List of suspects provided by many contributors to NormaNEWS2, collated by Kevin Thomas and colleagues at UQ.The Norman Early Warning System (NormaNEWS) is a collaborative activity aimed at members active in non-target analysis. The concept of NormaNEWS is that when one group identifies a new contaminant of emerging concern identification criteria are sent to other members of the group who use retrospective analysis techniques to check their own samples. This way we can rapidly establish the occurrence of newly identified compounds of emerging concern across Europe and beyond. NormaNEWS is lead by Kevin Thomas at NIVA (Norway) / University of Queensland (Australia) as part of the <b>Non-target screening cross-working group activity</b> of the NORMAN network.<b>What is NormaNEWS and how does it work</b>The first round of the collaborative NormaNEWS joint activity in 2016 successfully demonstrated the usefulness of the retrospective screening of high resolution mass spectrometric data in establishing the spatial and temporal occurrence of newly identified compounds of emerging concern. The results of this pilot study are presented in Alygizakis <i>et al.</i>, ES&T, DOI: 10.1021/acs.est.8b00365. The list of contaminants screened can be found on the NORMAN Suspect Exchange and the CompTox Chemistry Dashboard.To build on the first study, the NORMAN network has decided to launch NormaNEWS 2 as part of the activities of the NTS Cross-Working Group Activity (NORMAN JPA 2018 and NORMAN JPA 2019).In NormaNEWS 2 we wish to further develop this approach to cover many more contaminants of emerging concern, include a broader range of matrices, and significantly increase temporal and spatial coverage.While NORMAN members are encouraged to participate in NormaNEWS, laboratories outside the NORMAN network are also welcome to participate.
DOI: 10.25399/unisadata.29994214.v1
title: S62 | NORMANEWS2 | NormaNEWS2: Retrospective Screening of New Emerging Contaminants

description: This is the collection associated with list S62 NORMANEWS2 on the NORMAN Suspect List Exchange.https://www.norman-network.com/nds/SLE/List of suspects provided by many contributors to NormaNEWS2, collated by Kevin Thomas and colleagues at UQ.The Norman Early Warning System (NormaNEWS) is a collaborative activity aimed at members active in non-target analysis. The concept of NormaNEWS is that when one group identifies a new contaminant of emerging concern identification criteria are sent to other members of the group who use retrospective analysis techniques to check their own samples. This way we can rapidly establish the occurrence of newly identified compounds of emerging concern across Europe and beyond. NormaNEWS is lead by Kevin Thomas at NIVA (Norway) / University of Queensland (Australia) as part of the <b>Non-target screening cross-working group activity</b> of the NORMAN network.<b>What is NormaNEWS and how does it work</b>The first round of the collaborative NormaNEWS joint activity in 2016 successfully demonstrated the usefulness of the retrospective screening of high resolution mass spectrometric data in establishing the spatial and temporal occurrence of newly identified compounds of emerging concern. The results of this pilot study are presented in Alygizakis <i>et al.</i>, ES&T, DOI: 10.1021/acs.est.8b00365. The list of contaminants screened can be found on the NORMAN Suspect Exchange and the CompTox Chemistry Dashboard.To build on the first study, the NORMAN network has decided to launch NormaNEWS 2 as part of the activities of the NTS Cross-Working Group Activity (NORMAN JPA 2018 and NORMAN JPA 2019).In NormaNEWS 2 we wish to further develop this approach to cover many more contaminants of emerging concern, include a broader range of matrices, and significantly increase temporal and spatial coverage.While NORMAN members are encouraged to participate in NormaNEWS, laboratories outside the NORMAN network are also welcome to participate.
DOI: 10.13012/b2idb-5971089_v1
title: Comparative economic analysis between bioenergy and forage types of switchgrass for sustainable biofuel feedstock production: A DEA and cost-benefit analysis approach

description: The compiled datasets include detailed costs for switchgrass production, categorized into establishment, maintenance, and harvesting expenses, along with revenue calculations. Costs were gathered from multiple sources and adjusted for inflation, focusing on farm-gate profitability, excluding fixed costs and transportation. All financial data is provided per hectare. The dataset was used to evaluate the economic performance of forage- and bioenergy-type switchgrass cultivars and their response to nitrogen fertilization across diverse marginal environments in the U.S. Midwest. Data Envelopment Analysis (DEA) and cost-benefit analysis were employed to assess the efficiency and profitability of 23 different cultivar and fertilization rate combinations over five years.
DOI: 10.25345/c5j38kw83
title: MassIVE MSV000098885 - Trichoderma reesei peptaibols : Raw analysis and database for molecular network
title: Trichoderma reesei peptaibols : Raw analysis and database for molecular network