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        <identifier>oai:figshare.com:article/31320559</identifier>
        <datestamp>2026-02-16T23:15:15Z</datestamp>
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        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Cripps et al. (2026) Preference-performance relationship in the biocontrol beetle,Cassida rubiginosa: Implications for its realised host range - raw data</dc:title>
          <dc:creator>Michael Cripps (20866016)</dc:creator>
          <dc:subject>Behavioural ecology</dc:subject>
          <dc:subject>Evolutionary ecology</dc:subject>
          <dc:subject>Host-parasite interactions</dc:subject>
          <dc:subject>Preference-Performance hypothesis</dc:subject>
          <dc:subject>Cardueae</dc:subject>
          <dc:subject>thislte</dc:subject>
          <dc:subject>Cassida rubiginosa</dc:subject>
          <dc:subject>host range</dc:subject>
          <dc:subject>biocontrol agent</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;1. The evolutionary constraints on host plant preferences of herbivorous insects is a question of theoretical and practical importance. Since larvae have limited mobility, natural selection pressures should promote host plant choices by adults that optimise larval survival. Such optimal host utilisation is predicted to reinforce the evolution of specialisation. This concept is expressed and tested as the ‘preference-performance hypothesis’ (PPH), which predicts a positive relationship between adult preference and larval performance.&lt;/p&gt;&lt;p dir="ltr"&gt;2. Through a series of choice and no-choice experiments, the preference-performance relationship was examined for the oligophagous biocontrol beetle, &lt;i&gt;Cassida rubiginosa&lt;/i&gt;. It was hypothesised that adult host plant choices based on olfaction, final location, feeding intensity, and oviposition, are adaptive and reflect the optimal hosts for larval performance (survival).&lt;/p&gt;&lt;p dir="ltr"&gt;3. In accordance with the PPH, there was a positive relationship between all measures of adult preference and larval performance. Adult preference based on olfactometer experiments showed a significant, but weak correlation, explaining 27.6% of the variation in larval survival. The strongest correlation was found for adult preference measured as the amount of feeding, explaining 72.5% of the variation in larval survival. Adult preference based on location at the end of the experiment showed a similarly strong correlation, explaining 69.4% of the variation in larval survival. Adult preference based on oviposition and the number of hatched larvae were moderately correlated with larval survival, explaining 46.8% and 48.7% of larval survival, respectively.&lt;/p&gt;&lt;p dir="ltr"&gt;4. While there is a significant positive relationship between preference and performance, adult host preference is only a moderate predictor of larval performance. The adult beetle showed substantial flexibility in host plant selection, and equal performance across most Cardueae hosts. This is likely due to the larvae being more sensitive to physical and chemical defences, and possibly an evolutionary lag in the host range between the life stages. Any expansion of the realised host range will be limited by the ability of the larva to adapt to suboptimal hosts.&lt;/p&gt;</dc:description>
          <dc:date>2026-02-16T23:15:15Z</dc:date>
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          <dc:identifier>10.25400/lincolnuninz.31320559.v1</dc:identifier>
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        <identifier>oai:figshare.com:article/30546371</identifier>
        <datestamp>2025-12-15T00:39:43Z</datestamp>
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          <dc:title>Global Nutrient Yields (2025 update)</dc:title>
          <dc:creator>Jordan Peters (20302122)</dc:creator>
          <dc:creator>Alasdair Noble (14238026)</dc:creator>
          <dc:creator>Crile Doscher (6926999)</dc:creator>
          <dc:creator>Richard McDowell (6927416)</dc:creator>
          <dc:subject>Contaminant hydrology</dc:subject>
          <dc:subject>Surface water hydrology</dc:subject>
          <dc:subject>Total nitrogen</dc:subject>
          <dc:subject>Total phosphorus</dc:subject>
          <dc:subject>Global dataset</dc:subject>
          <dc:subject>Surface water</dc:subject>
          <dc:subject>River contamination</dc:subject>
          <dc:subject>Nutrient load</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;A global dataset of total nitrogen (TN) and total phosphorus (TP) loads, concentrations and streamflow.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;i&gt;(&lt;/i&gt;&lt;i&gt;This latest version reduces file sizes in the&lt;/i&gt;&lt;i&gt; &lt;/i&gt;&lt;i&gt;zip files (TN.4 and TP.4) by deleting empty lines.)&lt;/i&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;A reference list for the input data can be found in the file "README.txt".&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;</dc:description>
          <dc:date>2025-12-15T00:39:43Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.25400/lincolnuninz.30546371.v2</dc:identifier>
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        <identifier>oai:figshare.com:article/11894697</identifier>
        <datestamp>2020-03-03T00:51:27Z</datestamp>
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          <dc:title>Global Nutrient Yields</dc:title>
          <dc:creator>Richard McDowell (6927416)</dc:creator>
          <dc:subject>Surface water hydrology</dc:subject>
          <dc:subject>Hydrology not elsewhere classified</dc:subject>
          <dc:subject>Environmental assessment and monitoring</dc:subject>
          <dc:subject>Environmental rehabilitation and restoration</dc:subject>
          <dc:subject>Soil sciences not elsewhere classified</dc:subject>
          <dc:subject>Other environmental sciences not elsewhere classified</dc:subject>
          <dc:subject>Eutrophication</dc:subject>
          <dc:subject>nutrient-rich</dc:subject>
          <dc:subject>modelling estimates</dc:subject>
          <dc:subject>Environmental Monitoring</dc:subject>
          <dc:subject>Environmental Rehabilitation (excl. Bioremediation)</dc:subject>
          <dc:subject>Environmental Impact Assessment</dc:subject>
          <dc:subject>Environmental Science</dc:subject>
          <dc:subject>Hydrology</dc:subject>
          <dc:subject>Soil Sciences not elsewhere classified</dc:subject>
          <dc:subject>Surfacewater Hydrology</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Please see the file 'Description.txt' for data outline and reference to the policies of the data sources.&lt;/p&gt;&lt;p dir="ltr"&gt;Raster files for yields of TN and TP have been added to this dataset in 2025. Note that while generated at a finer scale, than in the paper we would caution their use at scales finer than HydroBasins level 4. Loads for HydroBasins levels 3 and 4 included as csv files.&lt;/p&gt;&lt;p dir="ltr"&gt;Abstract from paper (&lt;a href="https://aus01.safelinks.protection.outlook.com/?url=https://doi.org/10.1002/gdj3.111&amp;data=05|02|Richard.McDowell@lincoln.ac.nz|1ee86fab50184e38e25108de33869434|2ed27e5845164f9ca79794374d2e74c7|0|0|639004850266373749|Unknown|TWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ==|0|||&amp;sdata=8wcmvEYrSiT490OMqwhUdU0vSWdmZGj442gUs3Jv6YI=&amp;reserved=0" target="_blank"&gt;https://doi.org/10.1002/gdj3.111&lt;/a&gt;)&lt;/p&gt;&lt;p dir="ltr"&gt;Human activities have increased the input of nitrogen and phosphorus into riverine systems. These inputs can increase algal growth that degrades aquatic ecosystems. We constructed a global database of loads (kg) and yields (kg ha&lt;sup&gt;-1&lt;/sup&gt; yr&lt;sup&gt;-1&lt;/sup&gt;) of dissolved and total nitrogen and phosphorus forms for seven years (centred around 2008) in 1421 catchments. Yields were calculated from 640,950 measurements that were checked, filtered and harmonized from readily available sources. We used the yield data to create a georeferenced model to calculate yields of nitrogen and phosphorus forms across 6020 catchments, globally. The database can be used to assess and inform policy to reduce nitrogen and phosphorus losses from land to freshwater, improve nutrient use efficiency on farms, and help calibrate global models being used to explore scenarios such as nutrient management efficiency in a changing climate.&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;The file hybas_I03_v1c_EqArea.zip contains yields for N and P species as shapefiles.&lt;/p&gt;</dc:description>
          <dc:date>2020-03-03T00:51:27Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.25400/lincolnuninz.11894697.v2</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Global_Nutrient_Yields/11894697</dc:relation>
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        <identifier>oai:figshare.com:article/29937122</identifier>
        <datestamp>2025-08-31T21:34:17Z</datestamp>
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          <dc:title>Christchurch Urban Community Garden Survey 2024/25 - Site photos of 37 gardens</dc:title>
          <dc:creator>Andreas Wesener (6927323)</dc:creator>
          <dc:creator>Shannon Davis (6927347)</dc:creator>
          <dc:creator>Jiabei Xu (18357492)</dc:creator>
          <dc:creator>Guanyu Chen (19472671)</dc:creator>
          <dc:subject>Food sustainability</dc:subject>
          <dc:subject>Landscape architecture</dc:subject>
          <dc:subject>Urban design</dc:subject>
          <dc:subject>Urban and regional planning not elsewhere classified</dc:subject>
          <dc:subject>Urban community development</dc:subject>
          <dc:subject>community gardens</dc:subject>
          <dc:subject>urban agriculture</dc:subject>
          <dc:subject>local food systems</dc:subject>
          <dc:subject>food resilience</dc:subject>
          <dc:subject>urban communities</dc:subject>
          <dc:subject>urban green infrastructures</dc:subject>
          <dc:subject>urban gardening</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Site photos of 37 community gardens representing the final selection of surveyed urban community gardens in the following report: &lt;b&gt;Wesener, A., Davis, S., Xu, J., Chen, G. 2025. &lt;/b&gt;&lt;b&gt;&lt;i&gt;Urban Community Gardens in Ōtautahi Christchurch: Results of the 2024/25 Christchurch urban community gardens survey&lt;/i&gt;&lt;/b&gt;&lt;b&gt;. LEaP Report No. 70. Lincoln University, Canterbury, New Zealand.&lt;/b&gt; The report investigates locations and spatial characteristics of actively used urban community gardens (CGs) in Christchurch, Aotearoa New Zealand based on a community garden survey. The survey was conducted between October 2024 and February 2025 in response to a lack of reliable data regarding the number and locations of actively used urban CGs in Christchurch. The study area included the urbanised areas of Christchurch City as defined by the Christchurch District Plan. Out of 57 investigated potential CG locations, 37 gardens met our definition of actively used CGs within the study area. The survey collected three types of data: basic information about the gardens, including their locations, land data and spatial information, and on-site inventory-based information. By providing updated data on actively used urban CGs in Christchurch, their locations and various characteristics, the report serves as a source of information for researchers, garden communities, NGOs, and municipal stakeholders.&lt;/p&gt;</dc:description>
          <dc:date>2025-08-31T21:34:17Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.25400/lincolnuninz.29937122.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Christchurch_Urban_Community_Garden_Survey_2024_25_-_Site_photos_of_37_gardens/29937122</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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        <identifier>oai:figshare.com:article/29595188</identifier>
        <datestamp>2025-07-23T22:43:11Z</datestamp>
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          <dc:title>Genstat GLMM FABP4 and GH association study with meat and carcass traits</dc:title>
          <dc:creator>Norafizah Binti Abdul Rahman (13234464)</dc:creator>
          <dc:subject>Agricultural molecular engineering of nucleic acids and proteins</dc:subject>
          <dc:subject>Animal reproduction and breeding</dc:subject>
          <dc:subject>Animal production not elsewhere classified</dc:subject>
          <dc:subject>Biochemistry and cell biology not elsewhere classified</dc:subject>
          <dc:subject>Genomics and transcriptomics</dc:subject>
          <dc:subject>Gene mapping</dc:subject>
          <dc:subject>Genetics not elsewhere classified</dc:subject>
          <dc:subject>Animal cell and molecular biology</dc:subject>
          <dc:subject>gene markers</dc:subject>
          <dc:subject>fatty acid binding protein 4 (FABP4)</dc:subject>
          <dc:subject>growth hormone (GH)</dc:subject>
          <dc:subject>carcass traits</dc:subject>
          <dc:subject>meat traits</dc:subject>
          <dc:subject>sheep production</dc:subject>
          <dc:description>&lt;p&gt;Dataset for fatty acid binding protein 4 (FABP4) and growth hormone (GH) association analysis using General Linear Mixed Model (GLMM). Total more than 1,000 sheep data (raw), and 422 were further analysed for GLMM. Residual analysis and the related graph for each meat and carcass traits were evaluated.&lt;/p&gt;</dc:description>
          <dc:date>2025-07-23T22:43:11Z</dc:date>
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          <dc:identifier>10.25400/lincolnuninz.29595188.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Genstat_GLMM_FABP4_and_GH_association_study_with_meat_and_carcass_traits/29595188</dc:relation>
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        <identifier>oai:figshare.com:article/29378948</identifier>
        <datestamp>2025-06-30T02:10:26Z</datestamp>
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          <dc:title>Cycling activity in New Zealand's three largest cities</dc:title>
          <dc:creator>Clive Coetzee (21486848)</dc:creator>
          <dc:creator>David Dyason (13233921)</dc:creator>
          <dc:subject>Transport planning</dc:subject>
          <dc:subject>Urban design</dc:subject>
          <dc:subject>Urban and regional planning not elsewhere classified</dc:subject>
          <dc:subject>Urban and regional economics</dc:subject>
          <dc:subject>bicycle lanes</dc:subject>
          <dc:subject>bicycle counts</dc:subject>
          <dc:subject>bicycle usage</dc:subject>
          <dc:subject>urban planning</dc:subject>
          <dc:subject>transportation</dc:subject>
          <dc:subject>New Zealand</dc:subject>
          <dc:subject>Christchurch, New Zealand</dc:subject>
          <dc:subject>Wellington, New Zealand</dc:subject>
          <dc:subject>Auckland, New Zealand</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Daily digital data on bicycle use in New Zealand's three largest cities - Auckland, Wellington and Christchurch - was collected from publicly available sources on council websites from January 2016 to March 2024. The data was collected at multiple points throughout each city.&lt;/p&gt;&lt;p dir="ltr"&gt;Exponential smoothing with both backward and forward filling was used to impute missing data.&lt;/p&gt;</dc:description>
          <dc:date>2025-06-30T02:10:26Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.25400/lincolnuninz.29378948.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Cycling_activity_in_New_Zealand_s_three_largest_cities/29378948</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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    <record>
      <header>
        <identifier>oai:figshare.com:article/28916765</identifier>
        <datestamp>2025-05-16T01:04:00Z</datestamp>
        <setSpec>category_24379</setSpec>
        <setSpec>category_28609</setSpec>
        <setSpec>category_28771</setSpec>
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        <setSpec>month_year_05_2025</setSpec>
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      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Metabolomic profiles of kawakawa (&lt;i&gt;Macropiper excelsum&lt;/i&gt;) leaves following Lepidopteran herbivory using Rapid Evaporative Ionisation Mass Spectrometry (REIMS)</dc:title>
          <dc:creator>Chrystal O'connor (13234479)</dc:creator>
          <dc:creator>Mark McNeill (15327904)</dc:creator>
          <dc:creator>Mike Bowie (16808698)</dc:creator>
          <dc:creator>Jess Gathercole (15328810)</dc:creator>
          <dc:creator>Alastair Ross (15329110)</dc:creator>
          <dc:creator>James Morton (6927242)</dc:creator>
          <dc:subject>Plant biochemistry</dc:subject>
          <dc:subject>Pacific Peoples medicine and treatments</dc:subject>
          <dc:subject>Global Indigenous studies environmental knowledges and management</dc:subject>
          <dc:subject>kawakawa</dc:subject>
          <dc:subject>Macropiper excelsum</dc:subject>
          <dc:subject>Piper excelsum</dc:subject>
          <dc:subject>REIMS data</dc:subject>
          <dc:subject>Insect herbivore</dc:subject>
          <dc:subject>Metabolomic Fingerprinting</dc:subject>
          <dc:subject>traditional knowledge</dc:subject>
          <dc:subject>mātauranga</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset contains metabolomic fingerprint data from kawakawa (&lt;i&gt;Macropiper excelsum&lt;/i&gt;) leaves subjected to herbivory by three native Aotearoa New Zealand Lepidopteran species: &lt;i&gt;Cleora scriptaria&lt;/i&gt;, &lt;i&gt;Epalxiphora axenana&lt;/i&gt;, and &lt;i&gt;Ctenopseustis obliquana&lt;/i&gt;. Rapid Evaporative Ionisation Mass Spectrometry (REIMS) was used to generate chemical profiles of leaves across four treatment conditions: caterpillar eaten, caterpillar present but not eaten, artifically hole-punched, and untreated control.&lt;/p&gt;&lt;p dir="ltr"&gt;Our study reveals the herbivory-driven metabolomic alterations in &lt;i&gt;Macropiper excelsum&lt;/i&gt; leaves, highlighting species-specific responses and integrating mātauranga (Indigenous knowledge) with conventional science to study plant-insect interactions. Multivariate analysis was conducted to explore differences in leaf chemistry across species and treatement.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;b&gt;Files included:&lt;/b&gt;&lt;/p&gt;&lt;ol&gt;&lt;li&gt;REIMS_kawakawa_cleaned_data for multivariate analysis.xlsx – Cleaned REIMS feature matrix and burnhole averages used for multivariate analysis&lt;/li&gt;&lt;li&gt;REIMS_kawakawa_variable_Stats.xlsx – Descriptive statistics and corrected p-values for pairwise group comparisons&lt;/li&gt;&lt;li&gt;REIMS_kawakawa_tentative_IDs_unconfirmed.xlsx – Tentative compound identifications from negative ion mode REIMS (Level 1 only, unconfirmed by MS/MS)&lt;/li&gt;&lt;/ol&gt;&lt;p dir="ltr"&gt;&lt;b&gt;Note:&lt;/b&gt; This dataset is under permanent embargo to protect mātauranga Māori and the status of kawakawa as a taonga species. Researchers may request access, and requests will be reviewed in line with tikanga and data sovereignty principles.&lt;/p&gt;</dc:description>
          <dc:date>2025-05-16T01:04:00Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.25400/lincolnuninz.28916765.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Metabolomic_profiles_of_kawakawa_i_Macropiper_excelsum_i_leaves_following_Lepidopteran_herbivory_using_Rapid_Evaporative_Ionisation_Mass_Spectrometry_REIMS_/28916765</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:rights>Embargoed</dc:rights>
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      <header>
        <identifier>oai:figshare.com:article/27644580</identifier>
        <datestamp>2024-11-17T23:04:10Z</datestamp>
        <setSpec>category_24310</setSpec>
        <setSpec>portal_510</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_11_2024</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>LOP allele sequence generated from the MaSuRCA genome assembly of PH70 Pilosella piloselloides var praealta</dc:title>
          <dc:creator>Beatrice Fulton (9296561)</dc:creator>
          <dc:subject>Genomics</dc:subject>
          <dc:subject>Apomixis</dc:subject>
          <dc:subject>LOSS OF PARTHENOGENESIS</dc:subject>
          <dc:subject>Reference sequence</dc:subject>
          <dc:subject>BRAKER</dc:subject>
          <dc:subject>transposons (TE—transposable elements)</dc:subject>
          <dc:subject>MaSuRCA</dc:subject>
          <dc:subject>Pilosella Piloselloides var praealta</dc:subject>
          <dc:description>&lt;p&gt;This contains three documents. The first is the clean sequence of the LOP allele sequence generated from the MaSuRCA genome assembly that was used in the Msc thesis: An Investigation into the Genetic Forces Shaping the LOP Locus of Pilosella Piloselloides var praealta.&lt;/p&gt;
&lt;p&gt;The second and third are the annotated version of this reference.&lt;/p&gt;
&lt;p&gt;One annotated LOP reference sequence is annotated with:&lt;/p&gt;
&lt;ol&gt;
  &lt;li&gt;Gene annotation generated using BRAKER&lt;/li&gt;
  &lt;li&gt;Transposon annotation generated using EDTA&lt;/li&gt;
  &lt;li&gt;RNA-seq data aligned to the LOP allele sequence&lt;/li&gt;
  &lt;li&gt;EMS mutant variants generated from the GatK variant calling pipeline&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;The second annotated LOP reference is annotated with:&lt;/p&gt;
&lt;ol&gt;
  &lt;li&gt;Gene annotation generated using BRAKER&lt;/li&gt;
  &lt;li&gt;Transposon annotation generated using EDTA&lt;/li&gt;
  &lt;li&gt;Transcriptome (Trinity assembly) aligned to the LOP allele sequence&lt;/li&gt;
  &lt;li&gt;EMS mutant variants generated from the GatK variant calling pipeline&lt;/li&gt;
&lt;/ol&gt;&lt;p&gt;&lt;/p&gt;</dc:description>
          <dc:date>2024-11-17T23:04:10Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.25400/lincolnuninz.27644580.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/LOP_allele_sequence_generated_from_the_MaSuRCA_genome_assembly_of_PH70_Pilosella_piloselloides_var_praealta/27644580</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/27886659</identifier>
        <datestamp>2024-11-22T03:34:59Z</datestamp>
        <setSpec>category_24298</setSpec>
        <setSpec>portal_510</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_11_2024</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Somatic embryo Vitis vinifera gene record, and alignments of AP2, WOX and B3</dc:title>
          <dc:creator>Lun Tan (20301264)</dc:creator>
          <dc:subject>Gene expression (incl. microarray and other genome-wide approaches)</dc:subject>
          <dc:subject>gene protein</dc:subject>
          <dc:subject>Vitis vinifera Cabernet Sauvignon</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Excel spreadsheet of the data collected to create the alignment of the cladograms and collected Blastp of all BBM genes from various species against Vitis Vinifera to identify VvBBM. As well as the alignment AP2, WOX and B3 in PDF&lt;/p&gt;</dc:description>
          <dc:date>2024-11-22T03:34:59Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.25400/lincolnuninz.27886659.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Somatic_embryo_Vitis_vinifera_gene_record_and_alignments_of_AP2_WOX_and_B3/27886659</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:figshare.com:article/27886656</identifier>
        <datestamp>2024-11-22T03:34:16Z</datestamp>
        <setSpec>category_24298</setSpec>
        <setSpec>portal_510</setSpec>
        <setSpec>item_type_1</setSpec>
        <setSpec>month_year_11_2024</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Vitis vinifera qPCR Standard Curve of EF1a, GAPDH, SB020, SB022, SB025, SB027,SB029 - GenStat normalisation</dc:title>
          <dc:creator>Lun Tan (20301264)</dc:creator>
          <dc:subject>Gene expression (incl. microarray and other genome-wide approaches)</dc:subject>
          <dc:subject>qPCR (quantitative polymerase chain reaction)</dc:subject>
          <dc:subject>Vitis vinifera Cabernet Sauvignon</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;ANOVA and TUKEY of qPCR relative quantification and a residual plot for data normalization representation &lt;/p&gt;</dc:description>
          <dc:date>2024-11-22T03:34:16Z</dc:date>
          <dc:type>Image</dc:type>
          <dc:type>Figure</dc:type>
          <dc:identifier>10.25400/lincolnuninz.27886656.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/figure/Vitis_vinifera_qPCR_Standard_Curve_of_EF1a_GAPDH_SB020_SB022_SB025_SB027_SB029_-_GenStat_normalisation/27886656</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
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