cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6/lvrrae/y9rois
title: controller_p1_1100_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/iqku2p
title: controller_p2_0000_04.mat

description: File uploaded via API
DOI: 10.15468/dl.tzua2s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stoecharthrum monnati",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004499-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.0gb5mkmf4
title: Analysis of structural and somatic variation in Mexican lime

description: Clonally propagated crops have high levels of heterozygosity both between
 subgenomes within a somatic cell and between cells within an individual
 clone. Recent developments in 2nd and 3rd generation sequencing
 technologies have enabled the identification of this diversity, making it
 increasingly clear that these sources of diversity are abundant in clonal
 varieties and can contribute to variation in traits of interest to
 breeders. Compared with citrus cultivars like Sweet Orange, there are
 relatively few described accessions for Mexican lime (Citrus x
 aurantifolia). Given that many of the described varieties of sweet orange
 have been derived from somatic variants, we were interested in examining
 this variation in Mexican lime to assess its potential for further
 development of this cultivar. Using a recently published diploid assembly
 of Mexican lime and high-coverage PacBio HiFi libraries from leaf tissue
 of four individuals, we identified multiple large structural variants
 differing between thorned and thornless lineages, and evidence for
 mosaicism at hundreds of loci. Many of these variants are found in the
 promoters and bodies of genes and may act as standing variation for
 continued improvement of this cultivar.
description: # Analysis of structural and somatic variation in Mexican lime Dataset
 DOI: [10.5061/dryad.0gb5mkmf4](https://doi.org/10.5061/dryad.0gb5mkmf4) ##
 Description of the data and file structure HiFi libraries were aligned to
 the diploid assembly of Mexican lime (Massaro et al. 2025) using nglmr
 v0.2.7 (Sedlazeck et al. 2018). Structural variant calling was done using
 Sniffles2 v2.2 (Smolka et al. 2024) and SNVs were called using BCFtools
 v1.21 (Danecek et al. 2021). ### Files and variables #### File:
 Mxlime_HiFi_sniffles.vcf **Description:** Structural variant calls from
 combined mapping of four libraries to Mxlime_USDA_v1.fa. #### File:
 Mxlime_HiFi_snps.vcf **Description:** Short nucleotide variant (SNV) calls
 from combined mapping of four libraries to Mxlime_USDA_v1.fa. ## Access
 information Data was derived from the following sources: * PacBio HiFi
 libraries are available on the NCBI SRA database linked from the
 bioproject, PRJNA1137419.
DOI: 10.25346/s6/lvrrae/g2wcbc
title: controller_p1_0111_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ysiyrq
title: controller_p1_1101_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/usiodc
title: controller_p1_0011_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/lznted
title: controller_p1_0001_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/zw1cxu
title: controller_p1_0111_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/cuy3j7
title: controller_p2_1000_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ezm7ea
title: controller_p2_1011_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/stsqnx
title: controller_p2_1100_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/vyrnfd
title: controller_p2_1001_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/7efrpm
title: controller_p2_0001_01.mat

description: File uploaded via API
DOI: 10.5281/zenodo.17414502
title: Generation and propagation of internal solitary waves in background shear currents: incorporating the free-surface effect
DOI: 10.25346/s6/lvrrae/dpq5fs
title: controller_p1_1010_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/sjdems
title: controller_p2_0100_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/k6etv6
title: controller_p2_0000_05.mat

description: File uploaded via API
DOI: 10.5061/dryad.k98sf7mmc
title: Long-term monitoring strategies for ecological reclamation programmes using spatially balanced rotating panel designs

description: Environmental monitoring continues to be necessary along with a growing
 human population and increased anthropocentric land use changes. 
 In instances where oil and gas development and subsequent ecological
 reclamation practices occur, constraints associated with manpower and
 short growing seasons may make it impossible to conduct full census
 surveys on every location.  We propose using a spatially balanced
 rotating panel sampling design which utilizes neighbourhoods created by
 spatial and auxiliary information. As it is common for reclamation efforts
 across space to be influenced by environmental factors, we assume nearby
 locations which are treated with the same inputs will be more similar to
 each other than far away areas. We use a one-point-per-cluster sampling
 design to ensure good spatial coverage of the large area. This approach is
 helpful because it guarantees local coverage during each sampling phase,
 achieves equal inclusion probabilities, and has excellent spatial spread.
 We give examples from the Pinedale Anticline natural gas field in Sublette
 County, Wyoming, USA. Our examples include a natural gas well pad
 reclamation programme consisting of 303 locations as well as a ~21 km
 pipeline right-of-way system undergoing reclamation.
description: # Long-term monitoring strategies for ecological reclamation programmes
 using spatially balanced rotating panel designs Dataset DOI:
 [10.5061/dryad.k98sf7mmc](https://doi.org/10.5061/dryad.k98sf7mmc) ##
 Description of the data and file structure This dataset contains spatial
 information for well pads located within the Pinedale Anticline natural
 gas field in Sublette County, Wyoming, USA.  These locations are those
 which were used to create neighbourhoods and panels within the manuscript
 titled "Long-term monitoring strategies for ecological reclamation
 programmes using spatially balanced rotating panel designs" in
 *Ecological Solutions and Evidence*. ## Code/software The data was
 processed in Program R (any version
 after [R-4.5.1 )](https://cran.r-project.org/bin/windows/base/)using the
 package 'spbal' : Robertson, B.L., Davies, P., Gansell, O., van
 Dam‐Bates, P. and McDonald, T., 2025. spbal: An R package for spatially
 balanced master sampling. *Australian & New Zealand Journal of
 Statistics*.  This is available for download on CRAN
 at: [https://cran.r-project.org/web/packages/spbal/index.html](https://cran.r-project.org/web/packages/spbal/index.html) The .csv dataset is read into Program R and steps described in the manuscript are then followed.  We utilize %% to show logic in our code *Curran_etal_code.txt* which utilizes raw data from the **Pinedale_(1).csv** file. Descriptions Pinedale_(1).csv  Each row represents a well pad with information related to Latitude, Longitude, Disturbance Acres and Reclamation Acres.
DOI: 10.25346/s6/lvrrae/5xbwyf
title: controller_p2_0010_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/6dhkpc
title: controller_p2_1000_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/hlhh0o
title: controller_p1_0010_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/hoew3w
title: controller_p1_1101_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/dvuwio
title: controller_p2_0011_05.mat

description: File uploaded via API
DOI: 10.15468/dl.49t8kt
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luetzelburgia bahiensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 424 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004500-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/xts7ws
title: controller_p2_0111_03.mat

description: File uploaded via API
DOI: 10.15468/dl.t6bbcp
title: Occurrence Download

description: A dataset containing 656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melilotus alba"
 ]
}

 The dataset includes 656 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004502-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/gi10iw
title: controller_p1_0001_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/cuafee
title: controller_p1_1100_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/wczw3h
title: controller_p1_0011_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/c1l3zd
title: controller_p1_1101_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/74xate
title: controller_p1_1001_02.mat

description: File uploaded via API
DOI: 10.15468/dl.n9xr7m
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perca fluviatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1825",
 "Year is less than or equal to 1829"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004501-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/ssnhhh
title: controller_p1_1111_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/3y27v6
title: controller_p2_0001_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ji1muc
title: controller_p1_0010_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/9zz6eh
title: controller_p2_0000_03.mat

description: File uploaded via API
DOI: 10.5061/dryad.05qfttfgs
title: Data from: Precipitation drives the abundance and distribution of Arctia virginalis: A 40-year study

description: Ecology seeks to understand the abundance and distribution of species.
 Ecologists typically collect either long-time series without knowledge of
 the drivers or short-term experimental results, which may not scale up. We
 surveyed the annual population dynamics of Arctia virginalis for 40 years
 and conducted experiments examining the relative roles of abiotic
 conditions, host plants, predation, parasitoids, and viral infection.
 Rather than finding a single limiting factor, these factors were all
 important at some times or places. Annual densities varied by 1000-fold
 and showed evidence of a regime shift around 2002, coincident with
 changing precipitation. Wet sites and wet years supported higher
 densities, and precipitation interacted with most of the factors
 considered. Population control was context-dependent, but water
 availability was generally the relevant context. Precipitation appears to
 be important for other Lepidoptera in western North America. Studies that
 include experimental tests of population drivers are required to
 effectively manage insect populations.
description: # Data from: Precipitation drives the abundance and distribution of Arctia
 virginalis: A 40-year study Dataset DOI:
 [10.5061/dryad.05qfttfgs](https://doi.org/10.5061/dryad.05qfttfgs) ##
 Description of the data and file structure We estimated the density of
 late instar *Arctia virginalis* caterpillars on ten bushes of *Lupinus
 arboreus* across from the main lab at the Bodega Marine Reserve. Surveys
 were conducted during the last week in March from 1986-2025. ### Files and
 variables #### File: Woolies_on_Lupine_1986_2025.xlsx **Description:** The
 first column lists the year and the next 10 columns provide the densities
 of caterpillars on each bush. Densities are number of caterpillars per
 m^2^ of ground area covered by the leaves of each bush. ## Code/software
 Data are provided in Microsoft Excel.
DOI: 10.25346/s6/lvrrae/6rggjz
title: controller_p1_1000_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/2rbjly
title: controller_p1_1001_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/htxxmx
title: controller_p1_1011_04.mat

description: File uploaded via API
DOI: 10.5061/dryad.zcrjdfns8
title: Optimising environmental DNA biomonitoring for Kakadu National Park's freshwater fish communities

description: Aquatic ecosystems are in peril. World Heritage estates such as Kakadu
 National Park are not immune to anthropogenic pressures. To better protect
 freshwater fish communities and obtain relevant ecological data, there has
 been a shift towards environmental (e)DNA metabarcoding. In tropical
 lentic environments, seasonal variation drives significant environmental
 change, particularly the resuspension of particulate matter and
 phytoplankton productivity. These factors constrain the volume of water
 that can be sampled, potentially affecting the detection capacity of eDNA
 metabarcoding. Hence, information about the volume of samples required to
 robustly detect fish is critical prior to developing metabarcoding
 biomonitoring programs. In Kakadu, we sampled two contrasting systems with
 distinct fish communities. Employing two mt-rRNA primers (12S and 16S), we
 examined the detection of fish sampled from 1, 2, 5, and 10 L. Leveraging
 MinION sequencing, 15 fish taxa were confidently assigned to the
 species-level. Despite both systems containing unique fish communities
 (perMANOVA: F = 5.73, P &lt; 0.001), the most salient finding was that
 fish richness and community structure were not influenced by sample
 volume. In tropical systems where volume is inhibited, sampling a
 consistently lower volume may still be suitable for fish detection.
 Several species rarely observed using traditional monitoring approaches
 were detected, including Porochilus rendahli and Oxyeleotris lineolata.
 Our findings emphasise the need for multiple primers to capture a wider
 diversity of fish. This study provides the foundations for a routine eDNA
 monitoring program optimised for Australian tropical lentic freshwaters,
 which may assist in the management of tropical fish communities.
description: # Optimising environmental DNA biomonitoring for Kakadu National
 Park's freshwater fish communities Dataset DOI:
 [10.5061/dryad.zcrjdfns8](https://doi.org/10.5061/dryad.zcrjdfns8) ##
 Description of the data and file structure * CSV files - Occurrence and
 attribute (ASV) tables generated from OBITools4 handling of each library
 (clean datasets for each primer) * XLSX file - Amalgamated binary matrix 
 ### Files and variables ### Naming convention TEC = Top End Country; F =
 Fish; Fi = Fish16S; Ac = AcMDB07 M96 = 96 barcoding kit 1 = replicate
 library 1; 2 = replicate library 2 Files -  * TEC-F-Fi42-M96_1_ASV.csv *
 TEC-F-Fi42-M96_1_Occurrence.csv * TEC-F-Fi42-M96_2_ASV.csv *
 TEC-F-Fi42-M96_2_Occurrence.csv * TEC-F-Ac42-M96_1_ASV.csv *
 TEC-F-Ac42-M96_1_Occurrence.csv * TEC-F-Ac42-M96_2_ASV.csv *
 TEC-F-Ac42-M96_2_Occurrence.csv * Amalgamated_Binary_Matrix.xlsx
DOI: 10.25346/s6/lvrrae/40r3i5
title: controller_p2_1010_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/qvgczq
title: controller_p2_1001_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/m7qdol
title: controller_p2_0100_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/7y2egz
title: controller_p1_1010_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/65hzmn
title: controller_p1_0111_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/czp8ke
title: controller_p1_1100_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ou5one
title: controller_p2_1100_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/lrlux7
title: controller_p2_1101_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/qporbi
title: controller_p2_1111_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/dnkayk
title: controller_p2_0101_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/epob1d
title: controller_p2_0100_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/2qmnnw
title: controller_p2_1110_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/j7lym9
title: controller_p2_1110_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/2gwh1y
title: controller_p2_0101_04.mat

description: File uploaded via API
DOI: 10.15468/dl.22f32z
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Specimen)",
 "Country is Colombia",
 "TaxonKey is Speothos venaticus"
 ]
}

 The dataset includes 46 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004503-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/sd8dqq
title: controller_p2_1011_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/33tcb6
title: controller_p1_0010_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/gf8qef
title: controller_p2_1011_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/yrq8ip
title: controller_p1_0010_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/tivz2f
title: controller_p1_1111_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/agzmaq
title: controller_p1_0101_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/rc3mby
title: controller_p1_1011_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/vkcpbj
title: controller_p1_0110_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/rchcq1
title: controller_p1_1000_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/xfcmwa
title: controller_p2_0110_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/9p2i32
title: controller_p1_0110_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/mww3rl
title: controller_p1_1010_00.mat

description: File uploaded via API
DOI: 10.5061/dryad.wwpzgmszf
title: Data from: Demographic, behavioral, and ecological data from a long-term field study of wild baboons in Amboseli, Kenya

description: Long-term data sets on individually recognized animals and their
 environments are critical to understanding animal behavior, evolution, and
 ecology. However, they are resource- and time-intensive and seldom made
 publicly available. The Amboseli Baboon Research Project (ABRP) is one of
 the longest-running studies of a wild mammal population in the world and
 has collected extensive data on the baboon population of the Amboseli
 ecosystem in Kenya since 1971. Here, we describe four ABRP data sets newly
 available to the evolutionary biology, behavioral ecology, and primatology
 communities: (1) the sizes and demographic compositions of 21 social
 groups from 1971-2023; (2) the activity budgets of adult females and
 immatures from 1984-2023; (3) behavioral data on diet for adult females
 and immatures from 1984-2023; and (4) weather data, including
 precipitation from 1976-2023 and temperature from 1976-2022. Data are
 aggregated annually and monthly to enable cross-data set analyses. These
 data offer a rare longitudinal perspective on behavioral and ecological
 change in a wild mammal population.
description: # Data from: Demographic, behavioral, and ecological data from a long-term
 field study of wild baboons in Amboseli, Kenya Dataset DOI:
 [10.5061/dryad.wwpzgmszf](https://doi.org/10.5061/dryad.wwpzgmszf) ##
 Description of the data and file structure Long-term data sets on
 individually recognized animals and their environments are critical to
 understanding animal behavior, evolution, and ecology. However, they are
 resource- and time-intensive and seldom made publicly available. The
 Amboseli Baboon Research Project (ABRP) is one of the longest-running
 studies of a wild mammal population in the world and has collected
 extensive data on the baboon population of the Amboseli ecosystem in Kenya
 since 1971. Here, we describe four ABRP data sets newly available to the
 evolutionary biology, behavioral ecology, and primatology communities: (1)
 the sizes and demographic compositions of 21 social groups from 1971-2023;
 (2) the activity budgets of adult females and immatures from 1984-2023;
 (3) behavioral data on diet for adult females and immatures from
 1984-2023; and (4) weather data, including precipitation from 1976-2023
 and temperature from 1976-2022. Data are aggregated annually and monthly
 to enable cross-data set analyses. These data offer a rare longitudinal
 perspective on behavioral and ecological change in a wild mammal
 population. ### Files and variables #### **See file
 "table_descriptions.xlsx" for full README info and description
 of included .csv files.** ##
DOI: 10.25346/s6/lvrrae/ifn0fm
title: controller_p1_0000_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/wzy21g
title: controller_p1_0111_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/qwpqwo
title: controller_p2_0111_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/7iqtmt
title: controller_p1_0010_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/owzmzq
title: controller_p1_1000_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/sqxmvj
title: controller_p2_1010_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/z8p0uz
title: controller_p2_0010_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ph1u7q
title: controller_p2_1101_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/t2rnlt
title: controller_p1_1000_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/y1mzgz
title: controller_p2_1001_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/5nkiau
title: controller_p2_0101_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/gzaj3n
title: controller_p2_0000_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/oxh3ey
title: controller_p2_1101_01.mat

description: File uploaded via API