cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.m905qftxp
title: Intercontinental test of constraint-breaking adaptations; testing behavioural plasticity in the face of a predator with novel hunting strategies

description: 1. Constraint-breaking adaptations are evolutionary tools that provide a
 mechanism for incumbent-replacement between species filling similar
 ecological roles. 2. In common-garden experiments, we exposed populations
 of two desert rodents to two different viper species, testing their
 ability to adjust to novel predators that use different hunting
 strategies. We aimed to understand whether both predators and prey with
 constraint-breaking adaptations actually manifest comparative advantage
 over their counterparts. 3. We used convergent species from desert dunes
 in the Mojave Desert in North America, Merriam’s kangaroo rat (Dipodomys
 merriami) and the sidewinder rattlesnake (Crotalus cerastes), and from the
 Negev Desert in the Middle East, the greater Egyptian gerbil (Gerbillus
 pyramidum) and the Saharan horned vipers (Cerastes cerastes). Both Mojave
 species hold constraint-breaking adaptations in relation to their
 counterparts from the Negev. The rattlesnakes have heat sensing organs
 (pits) and the kangaroo rats have fur-lined cheek pouches that allow for
 greater foraging efficiency and food preservation. Using patch-use, we
 assessed the rodents’ risk-assessment from each snake— separately,
 together and in combination with barn owls. 4. Initially each rodent
 species foraged less in the presence of its familiar snake, but within a
 month both foraged less in the presence of the pit-viper (sidewinder). 5.
 Our findings indicate a level of learning, and behavioural plasticity, in
 both rodents and ability to assess the risk from novel predators. The
 kangaroo rats were capable of harvesting far greater amounts of resources
 under the same conditions of elevate risk. However, the reason for their
 advantage may lay in bi-pedal agility and not only their ability collect
 food more efficiently.
description: The dataset is measuring giving up densities (GUDs) for two
 months of each rodent population with variations in predation risk (owls,
 snakes), microhabitat hetergeneity, and varitation in ambient moonlight
 (moonphase). The data was cleaned by averaging all replications of
 treatments per night, resulting in 8 datapoints per night.
DOI: 10.5061/dryad.h9w0vt4fj
title: Data from: Identification of candidate loci for adaptive phenotypic plasticity in natural populations of spadefoot toads

description: Phenotypic plasticity allows organisms to alter their phenotype in direct
 response to changes in the environment. Despite growing recognition of
 plasticity’s role in ecology and evolution, few studies have probed
 plasticity’s molecular bases—especially using natural populations. We
 investigated the genetic basis of phenotypic plasticity in natural
 populations of spadefoot toads (Spea multiplicata). Spea tadpoles normally
 develop into an ‘omnivore’ morph that is favored in long-lasting,
 low-density ponds. However, if tadpoles consume freshwater shrimp or other
 tadpoles, they can develop (via plasticity) into a ‘carnivore’ morph that
 is favored in shallow, high-density ponds. By combining natural variation
 in pond ecology and morph production with population genetic approaches,
 we identified candidate loci associated with morph (carnivores versus
 omnivores) and loci associated with adaptive phenotypic plasticity
 (adaptive versus maladaptive morph choice). Our candidate morph loci
 mapped to two genes, whereas our candidate plasticity loci mapped to 12
 genes. In both cases, the identified genes tended to have functions
 related to their putative role in spadefoot tadpole biology. Our results
 thereby form the basis for future studies into the molecular mechanisms
 that mediate plasticity in spadefoots. More generally, these results
 illustrate how diverse loci might be deployed to mediate adaptive
 plasticity.
description: Data were collected from wild caught spadefoot toads that
 exhibited either a carnivore or omnivore morph phenotype. Data include
 post STACK analysis input for PGDSpider and a list of aligned sequences
 containing outlier loci.
DOI: 10.5061/dryad.s7h44j13w
title: Enhancing algebraic equation solving in upper elementary and middle school students using an algebra balance model

description: This study investigates the effectiveness of Level I, the first seven
 lessons, of the Hands-On Equations balance model in improving the
 equation-solving skills of upper elementary and middle school students.
 Fourth-grade (n = 123) and eighth-grade (n = 105) students from eleven
 classes in the United States participated in this study. A
 pretest-to-posttest design was used to evaluate the performance of the
 students on six algebraic equations, including three equations with the
 unknown on both sides of the equal sign. The students were
 provided with a six-question pretest prior to classroom instruction on the
 system, a posttest following Lesson 6 using the manipulatives, and a
 posttest following Lesson 7 without the manipulatives. Students were
 allowed 15 minutes for each of the tests. Each question answered correctly
 was given 1 point, regardless of the difficulty level of the question.
 Although the question paper had a field to enter the check for each
 problem, only the value for x was used to determine if the problem was
 answered correctly. The study sought to measure the effect of the program
 on the 4th grade, 8th grade rural, and 8th grade suburban groups. It also
 sought to compare the 4th grade results to an 8th grade benchmark. The
 data set includes the testing instrument, the pre- and post-testing data
 for each class, as well as an item analysis for the three groups.
description: The math coordinator asked for grade four teachers to volunteer for this
 study and received six
 volunteers. These teachers
 attended a one-day onsite training session. Prior to instruction, they
 provided their students with a pretest. After instruction, they
 administered the posttests and entered the data on a summary data sheet.
 Those sheets
 were turned over to the math coordinator who in turn
 forwarded to the researcher for analysis. Since the author of the program has a conflict
 of interest, the statistical analysis was done by an independent
 party. The five 8th grade teachers participated in a public workshop and followed
 the same testing procedure. The assembled data was analyzed
 using SPSS
 28.01.
description: SPSS or JASP software
DOI: 10.25349/d9w59r
title: Disease hotspots or hot species? Infection dynamics in multi-host metacommunities controlled by species identity, not source location

description: Pathogen persistence in host communities is influenced by processes
 operating at the individual host to landscape-level scale, but isolating
 the relative contributions of these processes is challenging. We developed
 theory to partition the influence of host species, habitat patches, and
 landscape connectivity on pathogen persistence within metacommunities of
 hosts and pathogens. We used this framework to quantify the contributions
 of host species composition and habitat patch identity on the persistence
 of an amphibian pathogen across the landscape. By sampling over 11,000
 hosts of six amphibian species, we found that a single host species could
 maintain the pathogen in 91% of observed metacommunities. Moreover, this
 dominant maintenance species contributed, on average, twice as much to
 landscape-level pathogen persistence compared to the most influential
 source patch in a metacommunity. Our analysis demonstrates substantial
 inequality in how species and patches contribute to pathogen persistence,
 with important implications for targeted disease management.
description: This repository contains 1) the species-level R0 estimates for
 six amphibian species occupying patches (ponds) in 77 metacommunities in
 the East Bay region of California, USA 2) the Stan code for analyzing load
 data from the fungal pathogen Bd with measurement error, using the methods
 developed in DiRenzo et al. 2018, Methods in Ecology and Evolution.  The
 data and methods were presented and analyzed in the manuscript
 "Disease hotspots or hot species? Infection dynamics in multi-host
 metacommunities controlled by species identity, not source location"
 published in Ecology Letters. See the manuscript and README.txt for
 additional details.
DOI: 10.15468/dl.a4rt5b
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Histioteuthis atlantica",
 "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 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 292 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002291-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wgbweg
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphimas pterocarpoides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 187 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002292-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drfyjm
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epipremnum pinnatum (L.) Engl.",
 "Country is Singapore"
 ]
}

 The dataset includes 46 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010736-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrjp26
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.028397 23.970815, 88.951548 23.965238, 88.87661 23.948646, 88.805447 23.921451, 88.739823 23.88433, 88.681364 23.838204, 88.631512 23.784217, 88.591492 23.723709, 88.56227800000001 23.658176, 88.544577 23.589238, 88.538808 23.518596, 88.54509299999999 23.447992, 88.563259 23.379161, 88.592842 23.313795, 88.6331 23.253498, 88.68303400000001 23.199745, 88.741411 23.153853, 88.806797 23.116943, 88.877591 23.089916, 88.95206399999999 23.073431, 89.028397 23.067891, 89.10473 23.073431, 89.179203 23.089916, 89.24999699999999 23.116943, 89.315383 23.153853, 89.37376 23.199745, 89.423694 23.253498, 89.46395200000001 23.313795, 89.49353499999999 23.379161, 89.511701 23.447992, 89.51798599999999 23.518596, 89.51221700000001 23.589238, 89.494516 23.658176, 89.46530199999999 23.723709, 89.425282 23.784217, 89.37542999999999 23.838204, 89.316971 23.88433, 89.251347 23.921451, 89.180184 23.948646, 89.10524599999999 23.965238, 89.028397 23.970815))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007407-260120142942310/datasets/export for details.
DOI: 10.15468/dl.x8dq6d
title: Occurrence Download

description: A dataset containing 94510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombina variegata",
 "Country is one of (Albania, Austria, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom of Great Britain and Northern Ireland, Greece, Croatia, Hungary, Ireland, Italy, Lithuania, Luxembourg, Latvia, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Romania, Serbia, Sweden, Slovenia, Slovakia, Türkiye, Ukraine, Kosovo)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 94510 records from 475 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007354-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbkv87
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Invasive Species Database"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007409-260120142942310/datasets/export for details.
DOI: 10.15468/dl.tewdup
title: Occurrence Download

description: A dataset containing 4319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Celeus torquatus"
 ]
}

 The dataset includes 4319 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007410-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9hygh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aciphylla glacialis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007411-260120142942310/datasets/export for details.
DOI: 10.15468/dl.d978wg
title: Occurrence Download

description: A dataset containing 1252 records in GBIF matching the query:
SELECT
 '180' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 0.0
 AND decimalLatitude &lt;= 4.045127286108716
 AND decimalLongitude &gt;= 94.78885416141078
 AND decimalLongitude &lt;= 99.93138969899333
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 1252 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007393-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6yb9x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.79533499999999 23.833744, 88.71856699999999 23.828167, 88.643708 23.811575, 88.572619 23.78438, 88.507064 23.747259, 88.448666 23.701133, 88.398865 23.647146, 88.358885 23.586638, 88.3297 23.521104, 88.312016 23.452165, 88.306251 23.381522, 88.312528 23.310916, 88.330674 23.242084, 88.360225 23.176717, 88.400441 23.116417, 88.450323 23.062663, 88.50864 23.01677, 88.573959 22.979858, 88.644682 22.95283, 88.71907899999999 22.936344, 88.79533499999999 22.930804, 88.871591 22.936344, 88.945988 22.95283, 89.016711 22.979858, 89.08203 23.01677, 89.14034700000001 23.062663, 89.190229 23.116417, 89.230445 23.176717, 89.259996 23.242084, 89.278142 23.310916, 89.284419 23.381522, 89.278654 23.452165, 89.26097 23.521104, 89.231785 23.586638, 89.191805 23.647146, 89.142004 23.701133, 89.083606 23.747259, 89.018051 23.78438, 88.946962 23.811575, 88.872103 23.828167, 88.79533499999999 23.833744))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007413-260120142942310/datasets/export for details.
DOI: 10.15468/dl.um2ntt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.833538 24.094689, 88.756615 24.089112, 88.681606 24.07252, 88.61037399999999 24.045326, 88.54468900000001 24.008204, 88.486175 23.962078, 88.43627600000001 23.908092, 88.396218 23.847584, 88.366979 23.782052, 88.34926299999999 23.713114, 88.34348900000001 23.642474, 88.349782 23.57187, 88.36796699999999 23.503041, 88.397578 23.437677, 88.43787500000001 23.377381, 88.48785599999999 23.32363, 88.54628700000001 23.277739, 88.611734 23.24083, 88.68259399999999 23.213804, 88.75713500000001 23.19732, 88.833538 23.19178, 88.909941 23.19732, 88.984482 23.213804, 89.055342 23.24083, 89.120789 23.277739, 89.17922 23.32363, 89.229201 23.377381, 89.269498 23.437677, 89.299109 23.503041, 89.317294 23.57187, 89.323587 23.642474, 89.317813 23.713114, 89.30009699999999 23.782052, 89.270858 23.847584, 89.2308 23.908092, 89.18090100000001 23.962078, 89.122387 24.008204, 89.056702 24.045326, 88.98547000000001 24.07252, 88.910461 24.089112, 88.833538 24.094689))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007414-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18351722
title: THEBENEFITSOFENHANCINGBOTHCONTENTKNOWLEDGEANDLANGUAGESKILLSINEFL

description: ContentandLanguageIntegratedLearning(CLIL)hasgainedsignificantattentioninthefieldofEnglishasaForeignLanguage(EFL)education.Byintegratingthelearningofcontentsubjects,suchasscience,history,ormathematics,withtheacquisitionofaforeignlanguage,CLILprovideslearnerswithaholisticapproachthatenhancesbothlanguageproficiencyandsubjectknowledge.ThisarticleexploresthetheoreticalframeworkofCLIL,itsimplementationinEFLcontexts,anditsbenefitsforlearnersintermsofcognitivedevelopment,languageacquisition,andacademicperformance.Furthermore,thechallengesandlimitationsofintegratingcontentandlanguageinEFLclassroomsarediscussed,alongwithrecommendationsforeffectiveCLILimplementation
DOI: 10.5281/zenodo.18351721
title: THEBENEFITSOFENHANCINGBOTHCONTENTKNOWLEDGEANDLANGUAGESKILLSINEFL

description: ContentandLanguageIntegratedLearning(CLIL)hasgainedsignificantattentioninthefieldofEnglishasaForeignLanguage(EFL)education.Byintegratingthelearningofcontentsubjects,suchasscience,history,ormathematics,withtheacquisitionofaforeignlanguage,CLILprovideslearnerswithaholisticapproachthatenhancesbothlanguageproficiencyandsubjectknowledge.ThisarticleexploresthetheoreticalframeworkofCLIL,itsimplementationinEFLcontexts,anditsbenefitsforlearnersintermsofcognitivedevelopment,languageacquisition,andacademicperformance.Furthermore,thechallengesandlimitationsofintegratingcontentandlanguageinEFLclassroomsarediscussed,alongwithrecommendationsforeffectiveCLILimplementation
DOI: 10.15468/dl.gyrdnz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.786592 24.006145, 88.709722 24.000568, 88.634764 23.983976, 88.563581 23.956781, 88.49794 23.91966, 88.439465 23.873534, 88.3896 23.819547, 88.349569 23.759039, 88.320348 23.693506, 88.302643 23.624568, 88.29687199999999 23.553927, 88.30316000000001 23.483323, 88.321331 23.414493, 88.350922 23.349127, 88.39119100000001 23.28883, 88.441138 23.235078, 88.499531 23.189186, 88.56493399999999 23.152276, 88.63574699999999 23.125249, 88.710239 23.108765, 88.786592 23.103225, 88.862945 23.108765, 88.937437 23.125249, 89.00825 23.152276, 89.07365299999999 23.189186, 89.132046 23.235078, 89.18199300000001 23.28883, 89.222262 23.349127, 89.251853 23.414493, 89.27002400000001 23.483323, 89.276312 23.553927, 89.27054099999999 23.624568, 89.252836 23.693506, 89.223615 23.759039, 89.183584 23.819547, 89.133719 23.873534, 89.075244 23.91966, 89.009603 23.956781, 88.93841999999999 23.983976, 88.863462 24.000568, 88.786592 24.006145))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007415-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18350627
title: Poseidon2LOD

description: Integrated data from the Poseidon Community Archive based on Poseidon v2.7.1 into RDF based on the ArNO ontology.

The full workflow can be found on GitHub.
DOI: 10.5281/zenodo.18350628
title: Poseidon2LOD

description: Integrated data from the Poseidon Community Archive based on Poseidon v2.7.1 into RDF based on the ArNO ontology.

The full workflow can be found on GitHub.
DOI: 10.5281/zenodo.18351822
title: Replication Package for "Evolving Kubernetes: A Technical Debt Perspective"

description: This repository contains the replication package for the paper "Evolving Kubernetes: A Technical Debt Perspective". It includes datasets, scripts, and obtained results (from LLM classification and sentiment analysis) necessary to reproduce the analyses, results, and figures reported in the paper.
DOI: 10.5281/zenodo.18351823
title: Replication Package for "Evolving Kubernetes: A Technical Debt Perspective"

description: This repository contains the replication package for the paper "Evolving Kubernetes: A Technical Debt Perspective". It includes datasets, scripts, and obtained results (from LLM classification and sentiment analysis) necessary to reproduce the analyses, results, and figures reported in the paper.
DOI: 10.5281/zenodo.18349766
title: High-quality MAGs from human urine via ultra-deep metagenomic sequencing
DOI: 10.5281/zenodo.18349767
title: High-quality MAGs from human urine via ultra-deep metagenomic sequencing