cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.2bvq83bmr
title: Influence of sea turtle nesting on hunting behavior and movements of jaguars in the dry forest of northwest Costa Rica

description: Jaguars (Panthera onca) are opportunistic predators that prey on large
 profitable prey items, such sea turtles at nesting beaches. Here we use
 jaguar and sea turtle track count surveys, combined with satellite
 telemetry of one jaguar, to evaluate whether jaguar hunting behavior and
 movements are influenced by seasonal sea turtle nesting in the Sector
 Santa Rosa of Área de Conservación Guanacaste in northwest Costa Rica. We
 used Generalized Linear Models to evaluate the effect of moon phase and
 sea surface temperature on olive ridley (Lepidochelis olivacea) and green
 turtle (Chelonia mydas) nesting abundance, as well as the combination of
 these predictors on the frequency of jaguar predation activity (proximity
 to nesting beaches) and movements. For home range size and location
 analyses, we calculated Kernel Density Estimates for each season at three
 different temporal scales. Sea turtle nesting season influenced jaguar
 activity patterns, as well as sea turtle abundance was related to jaguar
 locations and predation events, but jaguar home range size (88.8 km2
 overall) did not differ between nesting seasons or among temporal scales.
 Environmental conditions influenced sea turtle nesting and, as a
 consequence, also influenced jaguar movements and foraging activity. Our
 study defined the home range of a female jaguar in the tropical dry forest
 and its relationship to seasonally abundant turtles. Additional
 information related to the effect of tourism on jaguar-sea turtle
 interactions would improve conservation of these species at unique nesting
 beaches in the area.
description: We gathered previous sea turtle nesting data surveys from peer
 reviewed and technical papers for both Playa Nancite  (1980-2011) and
 Playa Naranjo (2013 - 2015). When the raw data from turtle nesting surveys
 was not available we used the R package “digitalize” to retrieve data from
 old figures (Poisot, 2011). Opportunistic sea turtle track-count surveys
 also were conducted at Playa Naranjo during 2013-2015.  Each morning we
 walked along Playa Naranjo at 2 km/hour and registered activity from the
 previous night; sea turtle track-counts by species, jaguar presence (i.e.,
 jaguar tracks on the beach) and jaguar predation events (i.e.,
 jaguar-killed turtles).  Additional information such moon phase
 (Lazaridis, 2014) was gathered. We also monitored the movements of a
 single jaguar.
description: Maria_non_peak_clip_95 (95% home range  during peak season
 shapefile) Maria_non_peak_clip_95 (95% home range 
 during non-peak season shapefile) turtles_carcases
 2015-2016 (turtle carcases location 2015-2016 shapefile)
DOI: 10.5061/dryad.66t1g1jzr
title: Data from: Phenotypic flexibility in background-mediated color change in sticklebacks

description: Phenotypic flexibility may incur a selective advantage in changing and
 heterogeneous environments, and is increasingly recognized as an integral
 aspect of organismal adaptation. Despite the widespread occurrence and
 potential importance of rapid and reversible background-mediated color
 change for predator avoidance, knowledge gaps remain regarding its
 adaptive value, repeatability within individuals, phenotypic correlates,
 and whether its expression is context dependent. We used manipulative
 experiments to investigate these issues in two fish species, the
 three-spined (Gasterosteus aculeatus) and nine-spined stickleback
 (Pungitius pungitius). We sequentially exposed individuals to dark and
 light visual background treatments, quantified color change from video
 recordings, and examined associations of color change with phenotypic
 dimensions that can influence the outcome of predator-prey interactions.
 G. aculeatus expressed a greater degree of color change compared to P.
 pungitius. In G. aculeatus, the color change response was repeatable
 within individuals. Moreover, the color change response was independent of
 body size but affected by sex and boldness, with males and bolder
 individuals changing less. Infection by the parasite Schistocephalus
 solidus did not affect the degree of color change, but it did modulate its
 association with sex and boldness. G. aculeatus adjusted the expression of
 color change in response to predation risk, with enhanced color change
 expression in individuals exposed to either simulated attacks, or
 olfactory cues from a natural predator. These results provide novel
 evidence on repeatability, correlated traits, and context dependence in
 the color change response and highlight how a suite of factors can
 contribute to individual variation in phenotypic flexibility.
description: Data was generated by quantifying color change from 4K video
 recordings on stickelbacks subjected to different backgrounds (dark and
 light) in laboratory settings. Two experiments were conducted: the first
 investigated the association between the degree of color change and other
 phenotypic dimensions (infection of Schistocephalus solidus, boldness,
 body length and sex) as well as repeatability of color change be repeated
 exposure to the same background; the second (the manipulation experiment)
 focused on whether two proxys of predation risk (predator olfactory cues
 and simulated attacks) influenced the degree of color change in rlation to
 a control treatment.
description: The data includes some missing values (NA) regarding the
 asscoaiton between color cahgne and phenotypic dimensions whne these (for
 inastnce sex) could not be determined. Also there are no data for
 phenotypic dimensions on indivduals involved in the manipulation
 experiemtn or the Pungitius pungitius subjects.
DOI: 10.5061/dryad.pg4f4qrk5
title: Data from: Are replication rates the same across academic fields? community forecasts from the DARPA SCORE program

description: The DARPA program “Systematizing Confidence in Open Research and Evidence”
 (SCORE) aims to generate confidence scores for a large number of research
 claims from empirical studies in the social and behavioral sciences. The
 confidence scores will provide a quantitative assessment of how likely a
 claim will hold up in an independent replication. To create the scores we
 follow earlier approaches and use prediction markets and surveys to
 forecast replication outcomes. Based on an initial set of forecasts for
 the overall replication rate in SCORE and its dependence on the academic
 discipline and the time of publication, we show that participants expect
 replication rates to increase over time. Moreover, they expect replication
 rates to differ between fields, with the highest replication rate in
 economics (average survey response 58%), and the lowest in Psychology and
 in Education (average survey response of 42% for both fields). These
 results reveal insights into the academic community’s views of the
 replication crisis, including for research fields for which no large-scale
 replication studies have been undertaken yet.
description: This dataset was collected via online platform over the course
 two weeks in August 2019. The participants of the surveys and prediction
 markets were recruited through blog posts, twitter and emailing lists,
 primarily aimed at academics, however anyone was free to join. The data
 was exported from the online platforms and anonymised before processing
 and analysis. The datatables were processed into
 formats more suited to analysis, and columns name changed to be more
 intuitive. New columns were also appended which provided information, for
 instance survey question wording was included as well as question code.
 All ‘test’ surveys (or surveys completed by admins) were removed before
 analysis.  
description: In prediction markets, we used the logarithmic scoring rule
 (Hanson 2005) with base 2 and a liquidity parameter of <i>b =
 100</i>. Participants received an initial endowment of 100 points to
 trade with. Within the demography survey, empty values
 are indicated with NA values. The fields of interest question asks about
 ‘sociology and criminology separately however for the other surveys and
 prediction markets these fields are combined. Therefore combing these
 fields of interest will make them consistent with the rest of the
 project. The user_id’s provided in the prediction
 market and survey data are consistent across all datasets.
 A codebook is provided for explanations of column names
DOI: 10.5061/dryad.d7wm37pz2
title: Data from: Oxidative stress delays development and alters gene expression in the agricultural pest moth, Helicoverpa armigera

description: Stress is a widespread phenomenon that all organisms must endure. Common
 in nature is oxidative stress, which can interrupt cell homeostasis to
 cause cell damage and may be derived from respiration or from
 environmental exposure through diet. As a result of the routine exposure
 from respiration, many organisms can mitigate the effects of oxidative
 stress, but less is known about responses to oxidative stress from other
 sources. Helicoverpa armigera is a major agricultural pest moth that
 causes significant damage to crops worldwide. Here, we examined the
 effects of oxidative stress on H. armigera by chronically exposing
 individuals to paraquat - a free radical producer - and measuring changes
 in development (weight, developmental rate, lifespan), and gene
 expression. We found that oxidative stress strongly affected development
 in H. armigera, with stressed samples spending more time as caterpillars
 than control samples (&gt;24 vs. ~15 days, respectively) and living
 longer overall. We found 1,618 up- and 761 down-regulated genes,
 respectively, in stressed vs. control samples. In the up-regulated gene
 set was an over-representation of biological processes related to cuticle
 and chitin development, glycine metabolism, and oxidation-reduction.
 Oxidative stress clearly impacts physiology and biochemistry in H.
 armigera and the interesting finding of an extended lifespan in stressed
 individuals could demonstrate hormesis, the process whereby toxic
 compounds can actually be beneficial at low doses. Collectively, our
 findings provide new insights into physiological and gene expression
 responses to oxidative stress in invertebrates.
description: We examined the effects of oxidative stress on
 <i>Helicoverpa armigera </i>by chronically exposing
 individuals to paraquat - a free radical producer - and measuring changes
 in development (weight, developmental rate, lifespan), and gene
 expression.  Please see the manuscript for full details.
DOI: 10.15468/dl.3qse7x
title: Occurrence Download

description: A dataset containing 23229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Brazil, Colombia, Peru, Venezuela (Bolivarian Republic of), Bolivia (Plurinational State of), Ecuador, Guyana)",
 "TaxonKey is Mabea"
 ]
}

 The dataset includes 23229 records from 483 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002306-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7kbsh
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.67719 4.23996,-72.88573 4.00163,-73.02476 3.77322,-72.90559 3.6044,-72.73677 3.38593,-72.5183 3.40579,-72.12107 3.39586,-71.68413 3.46537,-71.06843 3.52496,-70.84995 3.68385,-70.73078 3.90232,-70.75065 4.3492,-71.25711 4.68684,-71.95225 4.5776,-72.67719 4.23996))",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 268 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007278-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7281/t1j964jj
title: Rotating Stratified Turbulence Dataset on 40963 Grid

description: The data is from a direct numerical simulation of rotating stratified turbulence on a 4096-cubed periodic grid using a pseudo-spectral parallel code, GHOST. The simulations are documented in Ref. 1. The relative strength of stratification vs. rotation is characterized by the ratio of the Brunt-Väisälä to inertial wave frequency, N/f = 4.95. The code solves the Boussinesq equations with a solid body rotation force acting as the only external forcing mechanism. Time integration uses fourth-order Runge-Kutta. The simulation is initialized with large-scale isotropic conditions on a coarser grid. As the simulation progresses resolution is increased, peaking with 4096-cubed at maximum dissipation. After the simulation has reached a statistical stationary state, 5 frames of data, which includes the 3 components of the velocity vector and the temperature fluctuations, are generated and written in files that can be accessed directly by the database (FileDB system).
DOI: 10.34740/kaggle/dsv/12040012
title: BOS Kemdikbud
DOI: 10.15468/dl.rq4w57
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pardofelis marmorata (Martin, 1837))",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016127-250525065834625/datasets/export for details.
DOI: 10.15468/dl.d63ue2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pardofelis marmorata (Martin, 1837))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016129-250525065834625/datasets/export for details.
DOI: 10.15468/dl.qncxm9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pardofelis marmorata (Martin, 1837))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016128-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.25856206
title: <b>Diversity of flowering plants in the Brazilian semiarid: an analysis of floristic and phytosociological studies - </b><b>Supplementary file</b>

description: This dataset compiles information on species distribution within the Caatinga Dominion, based on 112 peer-reviewed floristic and phytosociological studies published up to December 2020. The data were organized to identify woody and non-woody species, assess their IUCN conservation status, highlight the most species-rich families, and analyze species distribution across Neotropical biomes, biogeographical districts, and Holdridge life zones. The database includes 1,807 taxa identified at the species level (conservative richness), and a total estimated richness of 3,019 species when including unidentified specimens.The supplementary material includes five tables:<br><b>Table S1.</b> Literature reporting phytosociological or floristic surveys.<br><b>Table S2.</b> Areas where floristic and phytosociological surveys were conducted in the Caatinga Dominion.<br><b>Table S3.</b> Species list including growth form and IUCN conservation status, along with species distribution across Brazilian states, biogeographical districts, Holdridge life zones, and Neotropical biomes.<br><b>Table S4.</b> This dataset includes species occurrences recorded across all studies, including taxa not identified at the species level.<br><b>Table S5.</b> Acronyms used to identify sampling sites. Each acronym combines the biogeographical district, the site code, and the Holdridge life zone classification.<br>These data are essential for informing local conservation policies and for supporting biodiversity assessments focused on endemic and threatened species of the Caatinga Dominion.
DOI: 10.6084/m9.figshare.25856206.v1
title: <b>Diversity of flowering plants in the Brazilian semiarid: an analysis of floristic and phytosociological studies - </b><b>Supplementary file</b>

description: This dataset compiles information on species distribution within the Caatinga Dominion, based on 112 peer-reviewed floristic and phytosociological studies published up to December 2020. The data were organized to identify woody and non-woody species, assess their IUCN conservation status, highlight the most species-rich families, and analyze species distribution across Neotropical biomes, biogeographical districts, and Holdridge life zones. The database includes 1,807 taxa identified at the species level (conservative richness), and a total estimated richness of 3,019 species when including unidentified specimens.The supplementary material includes five tables:<br><b>Table S1.</b> Literature reporting phytosociological or floristic surveys.<br><b>Table S2.</b> Areas where floristic and phytosociological surveys were conducted in the Caatinga Dominion.<br><b>Table S3.</b> Species list including growth form and IUCN conservation status, along with species distribution across Brazilian states, biogeographical districts, Holdridge life zones, and Neotropical biomes.<br><b>Table S4.</b> This dataset includes species occurrences recorded across all studies, including taxa not identified at the species level.<br><b>Table S5.</b> Acronyms used to identify sampling sites. Each acronym combines the biogeographical district, the site code, and the Holdridge life zone classification.<br>These data are essential for informing local conservation policies and for supporting biodiversity assessments focused on endemic and threatened species of the Caatinga Dominion.
DOI: 10.15468/dl.5sg3tm
title: Occurrence Download

description: A dataset containing 749297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionCode is BBM",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 749297 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016111-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5adn2
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dolichothele camargorum Revollo, Silva & Bertani, 2017"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009958-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/k42g-ev14
title: myrcene+no+no2 + OH - Aerosol study - physical properties - 2008-06-16

description: Publication of the dataset
DOI: 10.25326/v0j0-et04
title: beta-caryophllene+no+no2 + OH - Aerosol study - physical properties - 2008-05-28

description: Publication of the dataset
DOI: 10.57830/2311391
title: NGPN Plant Community Monitoring for Agate Fossil Beds National Monument (AGFO)

description: These data were generated by the work of many different field crews (2011-2024) who visited each unit each year collecting information on the condition of selected resources (Vital Signs). The data collection was guided by established methods and detailed protocols including: paired (2) 50-m line-point intercept transects for abundance; 10, 1-m2 quadrats for species diversity; 314-m2 circular plots for small diameter woody species (shrubs, seedlings and saplings); and 314-m2 or 1000-m2 for trees greater than 2.5-cm at 1-meter above the ground (1-inch at breast-height). 
The purpose of these data is to inform park staff, planners, administrators, partners and the public with quantitative records of the composition and abundance of vegetation in National Park Units. These data were carefully collected using precise methods, careful documentation, and multiple quality control steps. Species names and codes were cross-referenced to the USDA “Plants” database authority. Rare and unknown species were collected and verified by staff of the Wyoming Natural Diversity Database, University of Wyoming. These data are working files used to guide and inform park managers who make decisions about conservation and management of habitats and resources of the park based on desired conditions of resources. These data are provided as one key piece of evidence to support management of vegetation, fuels and habitats. No claims are made, legal or otherwise, regarding the accuracy, precision and utility of these data. Many people deserve credit for these data who cannot be named here, but also recognized are: Kara Paintner, Isabel Ashton, and Joan Jackson.
The Northern Great Plains Network (NGPN) is part of the NPS Inventory and Monitoring Division (IMD). We provide scientific support, data and interpretation related to resource conditions in park units within the Network in support of the National Park Service Organic Act and the National Parks Omnibus Management Act (Title II, Section 204 – Inventory and Monitoring Program). The NGPN network includes 13 NPS units: Fort Union NHS, Theodore Roosevelt NP, Knife River Indian Villages NHS, Devils Tower NM, Jewel Cave NM, Mount Rushmore NM, Badlands NP, Wind Cave NP, Fort Laramie NHS, Agate Fossil Beds NM, Scotts Bluff NM, Missouri NRR, and Niobrara NSR.