<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-12T13:33:46Z</responseDate>
  <request identifier="oai:figshare.com:article/34047688" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34047688</identifier>
        <datestamp>2026-10-01T17:26:36Z</datestamp>
        <setSpec>category_12</setSpec>
        <setSpec>category_24</setSpec>
        <setSpec>category_272</setSpec>
        <setSpec>category_39</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_133</setSpec>
        <setSpec>portal_5</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_10_2026</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>&lt;p&gt;Comprehensive raw dataset of architectural, edaphic, and micro-climatic variables for &lt;i&gt;Atta&lt;/i&gt; colonies.&lt;/p&gt;</dc:title>
          <dc:creator>Diego Garcia Castillo (25157692)</dc:creator>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Evolutionary Biology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Plant Biology</dc:subject>
          <dc:subject>type vegetation density</dc:subject>
          <dc:subject>scale environmental gradients</dc:subject>
          <dc:subject>realized niche breadth</dc:subject>
          <dc:subject>interspecific niche partitioning</dc:subject>
          <dc:subject>integrating hemispherical photography</dc:subject>
          <dc:subject>excluding others according</dc:subject>
          <dc:subject>114 colonies across</dc:subject>
          <dc:subject>strong ecological filter</dc:subject>
          <dc:subject>generalist ecological strategies</dc:subject>
          <dc:subject>ecological niche breadth</dc:subject>
          <dc:subject>principal component analysis</dc:subject>
          <dc:subject>narrower edaphic dispersion</dc:subject>
          <dc:subject>div &gt;&lt; p</dc:subject>
          <dc:subject>cutter ants respond</dc:subject>
          <dc:subject>alongside macroclimatic data</dc:subject>
          <dc:subject>atta laevigata &lt;/</dc:subject>
          <dc:subject>atta cephalotes &lt;/</dc:subject>
          <dc:subject>cutter ants</dc:subject>
          <dc:subject>laevigata &lt;/</dc:subject>
          <dc:subject>ecological consequences</dc:subject>
          <dc:subject>cephalotes &lt;/</dc:subject>
          <dc:subject>principal axes</dc:subject>
          <dc:subject>microclimatic data</dc:subject>
          <dc:subject>macroclimatic conditions</dc:subject>
          <dc:subject>edaphic profiles</dc:subject>
          <dc:subject>woody ecosystems</dc:subject>
          <dc:subject>wider range</dc:subject>
          <dc:subject>warmer micro</dc:subject>
          <dc:subject>use change</dc:subject>
          <dc:subject>urban areas</dc:subject>
          <dc:subject>regional transect</dc:subject>
          <dc:subject>previous reports</dc:subject>
          <dc:subject>predominantly associated</dc:subject>
          <dc:subject>neotropical leaf</dc:subject>
          <dc:subject>mound architecture</dc:subject>
          <dc:subject>microhabitat conditions</dc:subject>
          <dc:subject>generalism vs</dc:subject>
          <dc:subject>findings suggest</dc:subject>
          <dc:subject>colombian andes</dc:subject>
          <dc:subject>canopy areas</dc:subject>
          <dc:subject>anthropogenic filters</dc:subject>
          <dc:description>&lt;p&gt;This external CSV dataset contains the microhabitat profiles and structural measurements recorded for 117 active sympatric colonies across a latitudinal and elevational transect in Santander, Colombia. Species identity is specified under the &lt;i&gt;Species&lt;/i&gt; column, which comprises &lt;i&gt;A. cephalotes&lt;/i&gt; (n = 56), &lt;i&gt;A. laevigata&lt;/i&gt; (n = 58), and three colonies designated as U (n = 3), denoting individuals of ambiguous micro-habitat x morphology that could not be confidently classified to the species level in the field; these three unclassified colonies were included in the raw metadata for transparency but were systematically excluded from downstream species-specific statistical analyses. Column headers are defined as follows: &lt;i&gt;Num_Col&lt;/i&gt; represents the unique numerical identifier assigned to each sampled nest; &lt;i&gt;Location&lt;/i&gt; denotes the specific geographic site of collection (spanning 12 distinct sampling localities); &lt;i&gt;Date_Fieldwork&lt;/i&gt; indicates the exact date of data collection; and &lt;i&gt;Species&lt;/i&gt; identifies the target organism. Structural parameters include mound &lt;i&gt;Length&lt;/i&gt; (cm), &lt;i&gt;Width&lt;/i&gt; (cm), and &lt;i&gt;Number_Active_Holes&lt;/i&gt;. Although &lt;i&gt;Number_Active_Holes&lt;/i&gt; was ultimately excluded from downstream statistical modelling. Micro-climatic and edaphic axes consist of &lt;i&gt;Out_Temp&lt;/i&gt; (°C; ambient external temperature), &lt;i&gt;In_Temp&lt;/i&gt; (°C; internal mound temperature at ~10 cm depth), and &lt;i&gt;Soil_pH&lt;/i&gt;. Canopy structural metrics are represented by &lt;i&gt;Time_Photo&lt;/i&gt; (the exact timestamp of canopy image capture) and &lt;i&gt;Photo_File&lt;/i&gt; (the high-resolution hemispherical photograph filename used to calculate canopy openness). In all main text analyses and figures, the calculated values derived from these hemispherical photographs are referred to as Canopy Openness (%), corresponding to the raw &lt;i&gt;Light_Percentage&lt;/i&gt; values presented herein. Environmental background states are qualified under &lt;i&gt;Sky&lt;/i&gt; (visual assessment of cloud cover parameters during sampling).&lt;/p&gt; &lt;p&gt;(CSV)&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T17:26:32Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0351518.s003</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/_p_Comprehensive_raw_dataset_of_architectural_edaphic_and_micro-climatic_variables_for_i_Atta_i_colonies_p_/34047688</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
