cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.fbg79cp7d
title: Global evolutionary relationships of Devonian proetide trilobites

description: The Proetida likely represent the only trilobite surviving clade past the
 Devonian mass extinction event(s). Though members of order Proetida have
 long been studied, the global phylogenetic relationships across this
 pivotal time are still unresolved. I used a Bayesian phylogenetic approach
 to construct a subordinal level tree for members within superfamily
 Proetoidea. Two models, a relaxed and strict clock model, were compared
 and were used to assess past reconstructions of clades within the order.
 The trees from both models highlight key relationships among proetides
 across the Devonian and show paraphyly in groups which have been
 considered monophyletic in the past. Trees from both models also suggest
 that major groups, such as the genus Gerastos and the family Phillispidae
 (which represent the most diverse post-Devonian proetide group under
 current taxonomic schemes) are polyphyletic. This in turn suggests, in a
 paleobiological context, a more complex pattern of survivorship over the
 Late Devonian than previously suggested as well as pervasive parallelisms
 towards certain "Gerastos" or “phillipsid”
 morphotypes. 
description: # Global evolutionary relationships of Devonian proetide trilobites
 Dataset DOI: [10.5061/dryad.fbg79cp7d](10.5061/dryad.fbg79cp7d) ##
 Description of the data and file structure **Supplementary materials
 include**: character descriptions, coded characters, posterior
 probabilities in tables and on maximum-clade credibility trees, taxa and
 data collection information, FADS and LADS of taxa, and biogeography. The
 Nexus file is also provided.  **Description of the Data and file
 structure** Most data are presented as tables, including posterior
 probabilities and FADs, and LADs. Other data, such as character
 descriptions and coded characters, are presented as lists. Additional
 figures, such as posterior probabilities on the relaxed and strict maximum
 clade credibility trees and biogeographic locations of specimens, are
 included.  ### Files and variables #### File: Proetida_final_updated.nex
 **Description:** Nexus with coded characters. Characters and character
 descriptions can be found in the supplementary information.  ## Access
 information Data was derived from the following sources: * Literature
 (listed in supplement) * American Museum of Natural History (New York,
 USA) * Natural History Museum (London, UK) * National Museum (Cardiff,
 Wales) * Field Museum (Chicago, USA)
DOI: 10.5061/dryad.tmpg4f59z
title: Supplemental information from: Blumea calcicola (Asteraceae), a new species from limestone areas of Guangxi and Guizhou, China

description: Blumea calcicola, a new species restricted to limestone areas in
 southwestern China, is described and illustrated. Although exhibiting
 considerable morphological variability that has historically led to
 confusion with B. aromatica, B. sagittata, B. lanceolaria, and B.
 balsamifera, this species can be distinguished by the combination of
 pilose and glandular leaves, usually auriculate leaf bases with
 appendages, slender capitula, campanulate-cylindrical involucres, small
 receptacles, 9–11-ribbed achenes, and white to reddish pappus. 
description: # Supplemental information from: Blumea calcicola (Asteraceae), a new
 species from limestone areas of Guangxi and Guizhou, China Dataset DOI:
 [10.5061/dryad.tmpg4f59z](10.5061/dryad.tmpg4f59z) ## Description of the
 data and file structure The submitted file contains all of the information
 necessary to support this research. This file contains the herbarium
 records of the voucher specimens cited in the publication of *Blumea
 calcicola*, including 30 gatherings along with their corresponding
 Collection Numbers and Herbarium Accession Numbers.  ## Code/software The
 file is in .csv format and can be opened using Excel or compatible
 spreadsheet software.
DOI: 10.15468/dl.pfcvk3
title: Occurrence Download

description: A dataset containing 44172067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-123.9474 46.93318,-121.99416 46.93318,-121.99416 49.89514,-123.9474 49.89514,-123.9474 46.93318))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44172067 records from 1133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004386-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phpcta
title: Occurrence Download

description: A dataset containing 395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "StateProvince is Washington",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 395 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004428-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.37pvmcvxn
title: Data from: Food for fitness? Insights from 24 Norwegian moose populations for proactive monitoring and preventing overabundance

description: Cervid (Cervidae) populations that are overabundant with respect to their
 food resources are expected to show declining physiological and
 reproductive fitness. A proactive solution to such declines is to
 integrate the monitoring of food resources with animal harvesting
 strategies, but there are few studies available to guide managers
 regarding which food resources to monitor and how to do so. In this study,
 we used a rare large data set that included detailed absolute measures of
 available food quantities and browsing intensity from field inventories,
 to test their relationship with fitness indices of moose Alces alces in 24
 management units in four regions across Norway. The Dryad deposited
 dataset includes detailed data from these food inventories, and harvesting
 statistics from all the management units with a total of 250,710 moose
 seen, 32,756 moose shot, and 4,209 moose calves weighed. It also contains
 regional statistics on calves seen per cow during a total
 of 2,475,483 hunter 8-h days, and 34,532 moose calves weighed.
 Explanation of each data type is given alongside the data. Additional
 information on how the data was collected is found in the accompanying
 journal article.
description: # Data from: Food for fitness? Insights from 24 Norwegian moose
 populations for proactive monitoring and preventing overabundance Dataset
 DOI: [10.5061/dryad.37pvmcvxn](10.5061/dryad.37pvmcvxn) ## Description of
 the data and file structure In this study, we used a rare large data set
 that included detailed absolute measures of available food quantities and
 browsing intensity from field inventories, to test their relationship with
 fitness indices of moose *Alces alces* in 24 management units in four
 regions across Norway. The Dryad deposited dataset includes detailed data
 from these food inventories, and harvesting statistics from all the
 management units with a total of 250 710 moose seen, 32 756 moose shot and
 4 209 moose calves weighed. It also contains regional statistics on calves
 seen per cow during a total of 2 475 483 hunter 8-h days, and 34 532 moose
 calves weighed. ### Files and variables #### File:
 WamEtAl_FoodForFitness_Dryad.xlsx **Description:** The excel file contains
 multiple sheets. Variables are abbreviated in the **data sheets**. Each
 data sheet pertains to a certain topic of the data (raw data from the
 field inventories of moose food or raw data from hunting statistics) and
 each variable is described in the **explanation sheet**. Open cells means
 data is not applicable, i.e. the year of data for the variable in question
 was not used in any of our analyses. These data may be available in the
 open cource hunting statistics listed under Access information below. N/A
 means data were unavailable. ## Access information Parts of the data
 (hunting statistics) was derived from the following public sources: *
 [https://www.hjorteviltregisteret.no](https://www.hjorteviltregisteret.no).
DOI: 10.5061/dryad.g1jwstr47
title: Data from: Differential impacts of human land use on native and non-native fish in mountain watersheds

description: Human activities increasingly affect cold-water specialists in mountain
 ecosystems, both through direct alteration of freshwater habitat and
 through indirect effects mediated by terrestrial ecosystem change. Using
 presence/absence data for three native and three non-native trout species
 in the Alberta Rocky Mountains, Canada, we model the change in occupancy
 probability across 20 years (2001 to 2020) in 74 watersheds and relate
 occupancy with habitat variables (i.e., elevation, tree coverage, and
 density of linear features). Native bull trout showed significant declines
 in HUC10 occupancy (-0.16 % year-1) while non-native trout showed
 stability. Native trout favoured areas of higher elevation and greater
 tree coverage in direct contrast to non-native trout. Bull trout were
 significantly negatively impacted by the density of linear features. Our
 analysis suggests that regulation of anthropogenic activities and
 restoration of the terrestrial environment are required to conserve native
 trout in sensitive mountain environments.
description: # Data from: Differential impacts of human land use on native and
 non-native fish in mountain watersheds Dataset DOI:
 [10.5061/dryad.g1jwstr47](10.5061/dryad.g1jwstr47) ## Description of the
 data and file structure Fishing surveys. ### Files and variables ####
 File: RCode.R **Description:** Code for analysing data #### File:
 trout_landscape_2.RData **Description:** Backpack electrofishing surveys
 for 2001-2020 including covariates 
 
 | 
 
 | 
 
 | 
 
 | 
 
 | | :-------- | :-------- | :------- |
 :------------------------------------------------------------------------------------------------------------------------------------ | | **Entry** | **Value** | **Unit** | **Explanation** | | Ysum | Integer | 
 
 | Matrix of the number of surveys at each site (1:74) where a fish (1:6)
 were either found (&gt;0) or not (0) between 2001 and 2020 (1:20) | |
 nsite | Integer | 
 
 | The number of sites included in the analysis | | nyear | Integer | 
 
 | The number of years included in the analysis | | nrep | Numeric | 
 
 | Matrix of the total number of surveys at each site (1:74) between 2001
 and 2020 (1:20)  | | nspec | Integer | 
 
 | The number of species included in the analysis | | elev | Numeric | m |
 A list of the elevation at each site (stanadardised values) | | tree |
 Numeric | 
 
 | Matrix of the proportional area of tree coverage for each site (1:74)
 between 2001 and 2020 (1:20) (standardised values) | | linear | Numeric |
 km/km^2^ | Matrix of the density of linear features for each site
 (1:74) between 2001 and 2020 (1:20) (standardised values) | | range |
 Integer | 
 
 | Matrix of describing whether a site (1:74) was within the known range
 of each species (1:6) included in the analysis | #### File:
 ReadME_submission.xlsx **Description:** File containing metadata
 describing trout_landscape_2.RData file
DOI: 10.15468/dl.fbnpdr
title: Occurrence Download

description: A dataset containing 340678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strangomera bentincki",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 340678 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004393-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytyahw
title: Occurrence Download

description: A dataset containing 492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Auchenipterus nuchalis"
 ]
}

 The dataset includes 492 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004429-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.37pvmcvxp
title: Dissimilar climatic niche is predictive of contrasting historical demographic changes and altitudinal shifts in related oak species (<em>Quercus</em>)

description: The database contains information on nine microsatellite markers from
 three Mexican oak species. These data were used to infer microevolutionary
 patterns within the species and to explore their association with climatic
 affinities. The database includes the size of each locus for all
 dinucleotide microsatellites analyzed. This information provides valuable
 insights into the genetic diversity and structure of Mexican oaks,
 contributing to a better understanding of their adaptation to different
 environmental conditions.
description: # Dissimilar climatic niche is predictive of contrasting historical
 demographic changes and altitudinal shifts in related oak species
 (*Quercus*) Dataset DOI:
 [10.5061/dryad.37pvmcvxp](10.5061/dryad.37pvmcvxp) ## Description of the
 data and file structure The dataset consists of
 a Three_species_QuercusQ_spp_9SSR.xlsx. This table shows genetic data from
 multiple populations (Pop1–Pop43), where each sample has been genotyped at
 a series of microsatellite loci (genetic markers). Each locus has two
 columns (ending in “a” and without “a”) — representing the two alleles an
 individual carries at that locus. Nine nuclear simple sequence repeat
 (SSRs) loci (quru-GA-0C11, quru-GA-0M05, quru-GA-0C19, quru-GA-2F05,
 quru-GA-0M07, quru-GA-1C08, QpZAG36, QrZAG39, y QpZAG110), developed for
 *Q. rubra*, *Q. petraea,* and Q. robur (Steinkellner et al., 1997; Kampfer
 et al., 1998; Aldrich et al., 2003), were amplified, using fluorescently
 labelled (VIC, FAM, PET) forward primers. Reactions were performed using
 the Platinum Multiplex PCR Master Mix (Thermo Fisher Scientific) in a
 final volume of 6 µL. The temperatures of reactions were as follows:
 denaturalization step at 95 °C for 5 Min; 40 cycles of 95 °C for 30 seg,
 alignment temperature between 45 to 61 °C for 45 seg and 72 °C for 1 min;
 followed by a final step of extension at 72 °C for 10 min. PCR products
 were analysed in an ABI-PRISM 3300 Avant sequencer. Fragment sizes were
 determined using the program GeneMarker 2.6.4 (SoftGenetics) using
 Gene-scan-600 Liz as a size standard. ## Access information Other publicly
 accessible locations of the data: * None Data was derived from the
 following sources: * None
DOI: 10.5281/zenodo.18408139
title: Potential Use of Industrial Revolution 4.0 Technology In Indonesia's Agricultural Sector

description: The Industrial Revolution 4.0 which began to be discussed in 2016, had a huge impact on the sustainability of human life and how it affected the economic, social, and environmental fields. Various sectors have begun to adjust their activities by utilizing the use of automation combined with the Internet network so as to provide more efficient and effective results, as well as productive ones, and are part of the Internet of Things (IoT). The Industrial Revolution 4.0 is an opportunity to be applied to the agricultural sector in Indonesia where food needs will continue to increase along with population growth and the decreasing availability of agricultural land. With the current high price of agricultural technology, it is necessary to develop innovations to find smart and effective solutions for farmers so that they are not constrained by the problem of high prices for agricultural infrastructure and technology. However, one aspect that can be applied to start is by developing quality seeds on increasingly limited agricultural land.
DOI: 10.5281/zenodo.18408140
title: Potential Use of Industrial Revolution 4.0 Technology In Indonesia's Agricultural Sector

description: The Industrial Revolution 4.0 which began to be discussed in 2016, had a huge impact on the sustainability of human life and how it affected the economic, social, and environmental fields. Various sectors have begun to adjust their activities by utilizing the use of automation combined with the Internet network so as to provide more efficient and effective results, as well as productive ones, and are part of the Internet of Things (IoT). The Industrial Revolution 4.0 is an opportunity to be applied to the agricultural sector in Indonesia where food needs will continue to increase along with population growth and the decreasing availability of agricultural land. With the current high price of agricultural technology, it is necessary to develop innovations to find smart and effective solutions for farmers so that they are not constrained by the problem of high prices for agricultural infrastructure and technology. However, one aspect that can be applied to start is by developing quality seeds on increasingly limited agricultural land.
DOI: 10.15468/dl.6knbff
title: Occurrence Download

description: A dataset containing 13906 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Larval Dungeness (Metacarcinus magister) crab arrival, count, and size along the coast of British Columbia"
 ]
}

 The dataset includes 13906 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004431-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.n02v6wx90
title: Invasive ants suppress a native fungus but restructure fungal communities and increase richness

description: Organisms deploy chemical defenses against pathogens and competitors,
 often resulting in coevolutionary arms races. When introduced into new
 environments, non-native species may possess ‘novel weapons’ against which
 native species have not evolved resistance. Ants use antifungal secretions
 and microbial symbionts to defend against pathogens, but their broader
 effects on soil fungi are less understood. We tested whether the invasive
 ant Myrmica rubra suppressed native fungi more strongly than the native
 ant Aphaenogaster picea using laboratory assays in which colonies of each
 species were exposed to agar plates inoculated with a native saprotroph,
 Absidia sp. Across high- and low-resource replicates, A. picea had no
 effect on Absidia growth relative to controls, whereas M. rubra reduced
 fungal cover, supporting the prediction that non-native ants exert
 stronger antifungal effects. Moreover, M. rubra facilitated non-target
 fungi colonization, including Aspergillus, Clonostachys, and Simplicillium
 species. Finally, phylogenetic analysis confirmed that M. rubra
 restructured fungal communities into distinct fungal assemblages. These
 results suggest that invasive ants may suppress native fungi while
 facilitating tolerant or self-benefiting, potentially reinforcing their
 ecological success. These findings underscore the role of microbial
 interactions in ant invasions and soil community dynamics.
description: # Invasive ants suppress a native fungus but restructure fungal
 communities and increase richness Dataset DOI:
 [10.5061/dryad.n02v6wx90](10.5061/dryad.n02v6wx90) ## Description of the
 data and file structure Number = plate number Date = data initiated Ants =
 abundance of ants in colony Target = percent cover of target fungi
 (*Absidia* sp.) Plate = control: no *Absidia* inoculation; phyto:
 *Absidia* inoculation Nutrient = high: high nutrient treatment, low: low
 nutrient treatment Treatment = aph: *Aphaenogaster picea* colony; rub:
 *Myrmica rubra* colony Nontarget = percent cover of nontarget fungi ###
 Files and variables #### File: CM_Fungi_Data.csv **Description:**  #####
 Variables * Number: plate number * Date: date initiated * Ants: abundance
 of ants in colony * Target: percent cover of target fungi (*Absidia* sp.)
 * Plate: control: no *Absidia* inoculation; phyto: *Absidia* inoculation *
 Nutrient: high: high nutrient treatment, low: low nutrient treatment *
 Treatment: aph: *Aphaenogaster picea* colony; rub: *Myrmica rubra* colony
 * Nontarget: percent cover of nontarget fungi
DOI: 10.15468/dl.am73gj
title: Occurrence Download

description: A dataset containing 5373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lutzomyia longipalpis"
 ]
}

 The dataset includes 5373 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004432-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.qrfj6q5v4
title: Context-dependent antipredator behavior in spotted lanternfly nymphs: Effects of development, microhabitat, and social environment

description: Behavioral ecology data examining how spotted lanternfly anti-predator
 behaviors (Sidestep, Hide, Jump) vary with factors like developmental
 stage, tree type, microhabitat, and group size.
description: # Context-dependent antipredator behavior in spotted lanternfly nymphs:
 Effects of development, microhabitat, and social environment Dataset DOI:
 [10.5061/dryad.qrfj6q5v4](10.5061/dryad.qrfj6q5v4) ## Description of the
 data and file structure The Excel file named
 Anti_predator_behavior_07082025.xlsx contains behavioral ecology data
 examining how spotted lanternfly anti-predator behaviors (Sidestep, Hide,
 Jump) vary with factors like developmental stage, tree type, microhabitat,
 and group size.  Each row shows the data from a single behavioral assay in
 which we recorded the behavior of a spotted lanternfly nymph in response
 to a simulated predator attack. Column 1: “no” Assay number. Column 2:
 “Date” Date the behavioral assay took place. Column 3: “Instar”. Instar
 stage of the nymph Column 4: “Treecat”. Tree species on which the nymph
 was located. Tree of Heaven (TOH) or any other tree species (Other).
 Column 5: “Leaf or Stem”. Location of the nymph on the plant. Column 6:
 “Number of SLF”. Number of other spotted lanternfly nymphs within a 10 cm
 radius of the focal nymph. Column 7: “Behavior”. Behavior of the nymph in
 response to the simulated predator attack