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title: area2_zq95_10m.tif

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DOI: 10.25625/39vqpw/uiyeuk
title: area1_zq75_10m.tif

description: :unav
DOI: 10.25625/39vqpw/wyvjkh
title: area1_fhd_shan_eve_10m.tif

description: :unav
DOI: 10.25625/s6js8e/feosoq
title: 314000-9768000.ERS

description: :unav
DOI: 10.25625/s6js8e/g1jz7u
title: 303000-9806000.ecw.xml

description: :unav
DOI: 10.25625/s6js8e/pp4tde
title: 300000-9798000.ecw.xml

description: :unav
DOI: 10.25625/s6js8e/qsbf8s
title: 319000-9769000.ERS

description: :unav
DOI: 10.25625/s6js8e/uiu465
title: 316000-9763000.ecw

description: :unav
DOI: 10.25625/s6js8e/wmzl6w
title: 303000-9807000.ecw

description: :unav
DOI: 10.25625/39vqpw/4fc7pp
title: area2_pzabove2_10m.tif

description: :unav
DOI: 10.25625/39vqpw/josd6v
title: area3_num_gaps_10m.tif

description: :unav
DOI: 10.25625/39vqpw/ncwr5u
title: area1_max_gapArea_10m.tif

description: :unav
DOI: 10.25625/39vqpw/ver673
title: area2_zq65_10m.tif

description: :unav
DOI: 10.25625/39vqpw/wltmn3
title: area3_rumple_10m.tif

description: :unav
DOI: 10.25625/39vqpw/y4ywzl
title: area3_sum_gapArea_10m.tif

description: :unav
DOI: 10.25625/s6js8e/0ienbm
title: 230000-9785000.ecw.aux.xml

description: :unav
DOI: 10.25625/s6js8e/9qqxsv
title: 303000-9809000.ecw

description: :unav
DOI: 10.25625/s6js8e/ayeskl
title: 315000-9768000.ecw.xml

description: :unav
DOI: 10.25625/s6js8e/iw4awm
title: 234000-9786000.ecw

description: :unav
DOI: 10.25625/s6js8e/mb3su5
title: 301000-9803000.ecw.aux.xml

description: :unav
DOI: 10.25625/39vqpw/2n0qrd
title: area3_zq30_10m.tif

description: :unav
DOI: 10.25625/39vqpw/4m1tx8
title: area3_zq95_10m.tif

description: :unav
DOI: 10.25625/39vqpw/4rs8kv
title: area2_zq70_10m.tif

description: :unav
DOI: 10.25625/39vqpw/lfkacy
title: area1_pzabove2_10m.tif

description: :unav
DOI: 10.25625/39vqpw/yzmtwg
title: area2_zmean_10m.tif

description: :unav
DOI: 10.25625/39vqpw/ztjy2l
title: area2_zq5_10m.tif

description: :unav
DOI: 10.25625/s6js8e/bd0hkr
title: 303000-9805000.ecw.xml

description: :unav
DOI: 10.25625/s6js8e/f72x61
title: 307000-9808000.ecw

description: :unav
DOI: 10.25625/s6js8e/h9mx4b
title: 232000-9785000.ecw

description: :unav
DOI: 10.25625/s6js8e/ssy3dg
title: 314000-9767000.ecw

description: :unav
DOI: 10.25625/s6js8e/tkgaw9
title: 318000-9759000.ecw.aux.xml

description: :unav
DOI: 10.25625/s6js8e/wuwiha
title: 303000-9806000.ecw.aux.xml

description: :unav
DOI: 10.25625/39vqpw/asxm3f
title: area2_median_gapArea_10m.tif

description: :unav
DOI: 10.25625/39vqpw/re1xky
title: area2_max_gapArea_10m.tif

description: :unav
DOI: 10.25625/39vqpw/snejft
title: area1_mean_gapArea_10m.tif

description: :unav
DOI: 10.25625/39vqpw/wmt54u
title: area1_pzabovezmean_10m.tif

description: :unav
DOI: 10.25625/39vqpw/wqgo6x
title: area1_zq80_10m.tif

description: :unav
DOI: 10.25625/39vqpw/yztwdk
title: area3_zmean_10m.tif

description: :unav
DOI: 10.25625/s6js8e/7jsylj
title: 301000-9804000.ecw.aux.xml

description: :unav
DOI: 10.25625/s6js8e/fzfei3
title: 300000-9801000.ecw.xml

description: :unav
DOI: 10.25625/s6js8e/ov4smt
title: 313000-9769000.prj

description: :unav
DOI: 10.25625/s6js8e/pwcrvj
title: 320000-9763000.ecw.aux.xml

description: :unav
DOI: 10.25625/s6js8e/qxfwlt
title: 230000-9785000.prj

description: :unav
DOI: 10.25625/s6js8e/wf5mws
title: 299000-9799000.ecw.xml

description: :unav
DOI: 10.25625/39vqpw
title: Rasters for ALS metrics at 10m resolution 2022

description: Raster models for 39 LiDAR-derived metrics over the Bukit Duabelas (Area 1), Batanghari regency (Area 2) and Harapan rainforest protected area (Area 3), in Jambi, Sumatra, Indonesia. Pixel size: 10m. Geographic Coordinate System: EPSG 32748. Please do not use the data for a quantitative change analysis between 2020 and 2022. If you want to do a quantitative change analysis, please contact the points of contact as additional processing steps may be required.
DOI: 10.25625/39vqpw/9cgpgb
title: area3_zq25_10m.tif

description: :unav
DOI: 10.25625/39vqpw/tw4lqm
title: area2_zq45_10m.tif

description: :unav
DOI: 10.25625/39vqpw/ubbiud
title: area1_zq10_10m.tif

description: :unav
DOI: 10.25625/39vqpw/ufwfdb
title: area1_zsd_10m.tif

description: :unav
DOI: 10.25625/s6js8e/4koru9
title: 320000-9768000.ERS

description: :unav
DOI: 10.25625/s6js8e/f5hlag
title: 232000-9781000.ecw.aux.xml

description: :unav
DOI: 10.25625/s6js8e/gdnhx2
title: 320000-9764000.prj

description: :unav
DOI: 10.25625/s6js8e/gtazas
title: 314000-9769000.ecw.xml

description: :unav
DOI: 10.25625/s6js8e/iqpjp3
title: 316000-9761000.ecw.aux.xml

description: :unav
DOI: 10.25625/s6js8e/q6z42e
title: 320000-9768000.ecw.aux.xml

description: :unav
DOI: 10.25625/s6js8e/dwjxnn
title: 300000-9805000.ecw.aux.xml

description: :unav
DOI: 10.25625/s6js8e/jj5ahx
title: 300000-9802000.ecw

description: :unav
DOI: 10.25625/s6js8e/mz9mml
title: 234000-9781000.ecw.xml

description: :unav
DOI: 10.25625/s6js8e/nufxbz
title: 314000-9769000.prj

description: :unav
DOI: 10.25625/s6js8e/wfjqwr
title: 298000-9798000.ecw

description: :unav
DOI: 10.25625/s6js8e/zrldhi
title: 316000-9759000.ecw.aux.xml

description: :unav
DOI: 10.25903/hybj-4d19
title: Exploring the giant kelp, Macrocystis pyrifera, connectivity in the Southeast Pacific region for effective conservation and management 

description: <p><strong>Background:</strong> Comprehending Macrocystis pyrifera connectivity in the Southeast Pacific region assumes a pivotal role in its management. A comprehensive understanding of this fundamental aspect of population dynamics is imperative for the identification and safeguarding of key areas fostering connectivity. Despite its importance in conservation efforts, the connectivity patterns of giant kelp in the Southeast Pacific remain inadequately understood. <br />Objective: This study aims to evaluate the connectivity of M. pyrifera in the Southeast Pacific, with a specific focus on the influence of environmental variables and their implications for management.  </p>
<p><strong>Results:</strong> Employing network analysis, we discovered that the southern population (36 to 43&deg;S) serves as a crucial source-sink area, playing a fundamental role in connectivity, propagule dissemination, local retention and non-local retention.  We recommend designating this area as a no-take zone to preserve its critical role. Additionally, our study identifies seasonal and El Ni&ntilde;o Southern Oscillation (ENSO) variability in the central population (35 to 28&deg;S). We suggest management measures that can adapt to both inter and intra-annual variability, thereby addressing the dynamic nature of environmental conditions. Finally, through the delineation of management units based on population connectivity, we identify key source areas within each unit that warrant protection. These findings are essential for informing kelp conservation strategies, underscoring the need to consider regional and temporal environmental factors through an adaptive management approach.</p>
<p><strong>Data sources acknowledgment:</strong> Thompson-Saud et al 2024</p>
<p><strong>This dataset consist of:</strong> One .zip file containing:</p>
<ul>
<li>14 CSV files containing the output of changes in network measures across different seasons and ENSO conditions</li>
<li>2 R files providing statistical analyses for the network measures</li>
</ul>
<p>Software/equipment used to manipulate/analyse the data: ArcGIS and R to process the network outputs and to run the statistical models</p>
DOI: 10.15156/bio/sh1568582.08fu
title: SH1568582.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.