cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.gf1vhhms6
title: Improving measurements of the falling trajectory and terminal velocity of wind-dispersed seeds

description: 1. Seed dispersal by wind is one of the most important dispersal
 mechanisms in plants. The key seed trait affecting seed dispersal by wind
 is the effective terminal velocity (hereafter “terminal velocity”, Vt),
 the maximum falling speed of a seed in still air. Accurate estimates of Vt
 are crucial for predicting intra- and interspecific variation in seed
 dispersal ability. However, existing methods produce biased estimates of
 Vt for slow- or fast-falling seeds, fragile seeds, and seeds with complex
 falling trajectories. 2. We present a new video-based method that
 estimates the falling trajectory and Vt of wind-dispersed seeds. The
 design involves a mirror that enables a camera to simultaneously record a
 falling seed from two perspectives. Automated image analysis then
 determines three-dimensional seed trajectories at high temporal
 resolution. To these trajectories, we fit a physical model of free fall
 with air resistance to estimate Vt. We validated this method by comparing
 the estimated Vt of spheres of different diameters and materials to
 theoretical expectations, and by comparing the estimated Vt of seeds to
 measurements in a vertical wind tunnel. 3. Vt estimates closely match
 theoretical expectations for spheres and vertical wind tunnel measurements
 for seeds. However, our Vt estimates for fast-falling seeds are markedly
 higher than those in an existing trait database. This discrepancy seems to
 arise because previous estimates inadequately accounted for seed
 acceleration.  4. The presented method yields accurate, efficient
 and affordable estimates of the three-dimensional falling trajectory and
 terminal velocity for a wide range of seed types. The method should thus
 advance the understanding and prediction of wind-driven seed dispersal.
DOI: 10.57707/fmi-b2share.p3j8p-81d54
title: Data  for "High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques" by Jääskeläinen et al.

description: Datasets associated with Jääskeläinen et al. manuscript titled: "High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques". The dataset includes training, test, and validation sets for machine learning model development. Additionally, there are also predicted soil moisture maps in 1 km and 250 m spatial resolutions for Northern Finland covering the years 2019-2023 (from May 1 to October 15).
DOI: 10.57707/fmi-b2share.fhkn3-dbh57
title: Data  for "High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques" by Jääskeläinen et al.

description: Datasets associated with Jääskeläinen et al. manuscript titled: "High-resolution soil moisture mapping in northern boreal forests using SMAP data and downscaling techniques". The dataset includes training, test, and validation sets for machine learning model development. Additionally, there are also predicted soil moisture maps in 1 km and 250 m spatial resolutions for Northern Finland covering the years 2019-2023 (from May 1 to October 15).
DOI: 10.5061/dryad.qfttdz0kc
title: Black capped and mountain chickadee nestling fecal samples

description: Urban and suburban ecosystems are growing in size and number as the human
 population continues to increase. Not all cities are built the same,
 however, and it is still unclear how resident organisms are faring in
 increasingly urban habitats and whether cities are ecological sinks. To
 investigate how urbanization is affecting breeding success in
 insectivorous birds, we studied two species of chickadee, the black-capped
 and mountain chickadee[KG1] , along an urban-rural gradient in
 Boulder County, CO, USA. We used a citizen-science based experimental
 framework of nest boxes installed on private land throughout Boulder, CO,
 USA to local monitor breeding populations of chickadees relative to
 urbanization. Black-capped and mountain chickadees are two species of
 closely-related songbirds that co-occur broadly along an elevational
 gradient. Black-capped chickadees are considered to prefer nesting in
 low-elevation deciduous trees typically found in cities, while mountain
 chickadee prefer higher elevation, coniferous forests often considered
 more rural. However, both species do nest in relatively urbanized
 habitats, but little is known about how they are navigating these urban
 habitats. Using arthropod surveys & eDNA metabarcoding paired with
 field observations, we sought to determine if there are species
 differences between 1) how chickadee nestling condition varies with the
 level of urbanization of a nesting site and how urbanization of a nest
 site infleunces 2) insect availability, 3) nestling diet, and 4) adult
 provisioning effort. We found that there was no significant effect of
 urbanization on nestling condition in either species, and that
 urbanization did not significantly predict insect availability, nestling
 diet, or adult provisioning effort. We did detect however, differences in
 diet between the species, highlighting clear ecological niches between
 these species, despite overlapping breeding habitat. This is, to our
 knowledge, the first study documenting discrete ecological niches in prey
 preference for developing chicks and adds to a growing body of literature
 detailing ecological differentiation between these two species. How this
 divergence in diet contributes to these species ability to navigate
 increasingly urban habitats is less clear. It is likely that Boulder,
 Colorado is made of vegetation patches, effectively urban forest
 fragments, that allow chickadees living in the city to reproduce
 successful despite decreased prey quality and quantity associated with
 urban spaces.
DOI: 10.6071/m36x1m
title: Environmental correlates of phenotypic evolution in ecologically diverse Liolaemus lizards

description: Evolutionary correlations between phenotypic and environmental traits
 characterize adaptive radiations. However, the lizard
 genus Liolaemus, one of the most ecologically diverse terrestrial
 vertebrate radiations on earth, has so far shown limited or mixed evidence
 of adaptive diversification in phenotype. Restricted use of comprehensive
 environmental data, incomplete taxonomic representation and not
 considering phylogenetic uncertainty may have led to contradictory
 evidence. We compiled a 26 taxon dataset for the L.
 gracilis species group, representing much of the ecological
 diversity represented within Liolaemus, and used
 environmental data to characterize how environments occupied by species’
 relate to phenotypic evolution. Our analyses, explicitly accounting for
 phylogenetic uncertainty, suggest diversification in phenotypic traits
 toward the present, with body shape evolution rapidly evolving in this
 group. Body shape evolution correlates with the occupation of different
 structural habitats indicated by vegetation axes suggesting species have
 adapted for maximal locomotory performance in these habitats. Our results
 also imply that the effects of phylogenetic uncertainty and model
 misspecification may be more extensive on univariate, relative to
 multivariate analyses of evolutionary correlations, which is an important
 consideration of analyzing data from rapidly radiating adaptive
 radiations.
description: Morphological data were collected by Dr. Avila's lab.
 Genetic data were generated by Dr. Martinez as a graduate student with
 Dr.'s Morando & Avila. Dr. Edwards compiled the environmental
 data from satelite image (vegetation data), digital elevation model
 (elevation), and climatic databases, into map layers. Spatial information
 of specimens was used to extract and compile environmental data. Dr.
 Edwards used the genetic data generated by Dr. Martinez to build a species
 tree of candidate lineages. Dr. Edwards used the morphological data,
 phylogeny and environmental data in a series of comparative phylogenetic
 analyses.
description: These are the cleaned data used in the analyses of the paper.
 Missing value information and processing of data for the paper can still
 be viewed in the code.
DOI: 10.7272/q6tt4p68
title: Weekly United States COVID-19 Racial Data By State, April 12, 2020 to March 7, 2021

description: The COVID Racial Data Tracker advocated for, collected, published, and
 analyzed racial data on the COVID-19 pandemic across the United States. It
 was a collaboration between the COVID Tracking Project and the Boston
 University Center for Antiracist Research. This project began when Dr.
 Ibram X. Kendi, director of the BU Center for Antiracist Research, wrote a
 series of essays in The Atlantic about the urgent need to gather racial
 and ethnic demographic data to understand the outbreak and protect
 vulnerable communities. On April 12, 2020, we started collecting race and
 ethnicity data from every state that reported it. On April 15, we launched
 that dataset as the first iteration of the COVID Racial Data Tracker. We
 updated this data twice per week.
description: This dataset was compiled by volunteers with the COVID Racial
 Data Tracker project. Every week until March 4, 2021, this dedicated team
 of volunteers gathered COVID-19 case and death data from state and
 territory websites, recent press conferences and releases, and directly
 from state health department officials. We offer thanks
 and heartfelt gratitude for the labor and sacrifice of our volunteers.
 Volunteers on the COVID Racial Data Tracker team who granted us permission
 to use their name publicly are listed in the file VOLUNTEERS.md.
description: Dataset includes README file that
 describes all datapoints.
DOI: 10.15468/dd.ymx22h
title: GBIF filtetred occurrence datasets for 44 tree species

description: GBIF filtered datasets to defining the species climatic niche for 44 tree species. 

Each file (.Rdata file) is designated by the name of a species and contains two columns, longitude (long) and latitude (lat) in WGS1984 coordinate system. For most species, GBIF data was downloaded in July 2020 using the dismo R package and filtered following the steps described below. Data for the following species was manually downloaded Betula pendula, Fagus sylvatica, Olea europaea, Picea abies, Pinus halepensis, Pinus pinaster, Pinus sylvestris, Quercus robur.

Ocurrence records filtering:

1. removing fossil specimes

2. removing "duplicate" species on the basis of 'speciesKey' (if more than speciesKey one was present the one with more records was retained)

3. when available, filtering for coordinate uncertainty in meters (for a 1x1 km grid the diagonal value is 707). Note that NA values were retained and that when such filtering yielded very low sample (&lt;100 records) this step was omitted.

4. filtering occurrences registered after 1950. Note that when such filtering yielded very low sample (&lt;100 records) this step was omitted.

5. removing duplicates based on geographic coordinates

6. selecting only one observation in each 1x1km pixel (using the gridSample function from dismo package)

7. retaining only lon-lat coordinates

The file "GBIF_citation_Derived_dataset.csv" contains the datasetKey and number of records retained in the filtered datasets for all species.
DOI: 10.5061/dryad.pc866t1rg
title: Data and Scripts from: Bayesian prediction of multivariate ecology from phenotypic data yields novel insights into the diets of extant and extinct taxa

description: Morphology often reflects ecology, enabling the prediction of ecological
 roles for taxa that lack direct observations such as fossils. In
 comparative analyses, ecological traits, like diet, are often treated as
 categorical, which may aid prediction and simplify analyses but ignores
 the multivariate nature of ecological niches. Futhermore, methods for
 quantifying and predicting multivariate ecology remain rare. Here, we
 ranked the relative importance of 13 food items for a sample of 88 extant
 carnivoran mammals, and then used Bayesian multilevel modeling to assess
 whether those rankings could be predicted from dental morphology and body
 size. Traditional diet categories fail to capture the true multivariate
 nature of carnivoran diets, but Bayesian regression models derived from
 living taxa have good predictive accuracy for importance ranks. Using our
 models to predict the importance of individual food items, the
 multivariate dietary niche, and the nearest extant analogs for a set of
 data-deficient extant and extinct carnivoran species confirms
 long-standing ideas for some taxa, but yields new insights about the
 fundamental dietary niches of others. Our approach provides a promising
 alternative to traditional dietary classifications. Importantly, this
 approach need not be limited to diet, but serves as a general framework
 for predicting multivariate ecology from phenotypic traits.
description: The dataset contains dental topographic metrics (aDNE, OPCr, RFI,
 and RLGA) and body mass estimates for 113 living and extinct carnivorans
 (Order Carnivora). It also contains ordinal dietary rankings (1-4, with 1
 being none in the diet and 4 being a primary food item) for 13 food items
 for 88 of the extant species. We use these dietary rankings to generate
 predictive models of the multivariate diet, then estimate the multivariate
 diets for fossil and understudied extant taxa. Running the models yields
 outputs which are then used to generate predictions. The data also
 contains a phylogenetic tree of Carnivora used in the models.
description: The Dryad repository contains all of the input and output data
 from this project. The README.md file details each of the data objects
 (mostly csv files). As each of the outputs is called as an input in
 downstream analyses, we included these. The Zenodo repo
 linked to this Dryad repo contains the entirety of the GitHub repo for
 this project. It is written in such a way where, once all the packages
 have been installed, it can be downloaded and run in its entirety to
 reproduce all of the results from this project. It contains the scripts,
 input data, plotting commands, and its own highly detailed README.md
 file. The Zenodo repo also contains the Supplemental
 Figures in .pdf format.
DOI: 10.5061/dryad.vdncjsxxg
title: Data from: Implications of landscape evolution and climate fluctuation on bird species diversification in Neotropics

description: Among several factors proposed as drivers of species diversification in
 the American tropics, the riverine barriers hypothesis plays a central
 role in Amazonian biogeography, being observed in many species. Although
 the hypothesis has great evolutionary importance, some species deviate
 from the expected biogeographic pattern. Their evolutionary histories are
 better explained when considering climatic oscillations or joint action of
 climatic fluctuations and river dynamics. Here, we used reduced
 representation genome sequencing and species distribution models to better
 understand the implications of landscape dynamics and climate shifts on
 species diversification in the Neotropics. The blue-crowned Manakin
 (Lepidothrix coronata) has one of the widest distributions amongst
 Manakin, with remarkable phenotypic variation across its distribution,
 thus an excellent model for this sort of study. We found evidence for the
 existence of four, geographically structured, evolutionarily independent
 lineages that diverged close to the Pliocene-Pleistocene boundary. Despite
 distribution models indicating habitat suitability crossing the rivers, we
 found no evidence of gene flow between the lineages, suggesting that the
 diversification process was mainly triggered by vicariant events, such as
 the establishment of the Amazonian rivers and the rise of the northern
 Andes.
DOI: 10.25349/d94p5k
title: Exploring the Feasibility of Floating Solar on Lauro Reservoir

description: The City of Santa Barbara’s commitment to reaching 100% renewable energy
 by 2030 has led to an exploration of opportunities for clean generation
 with an emphasis on local projects for increased energy resilience.
 Floating solar (FPV) technology presents a unique and attractive solution
 to achieving this goal by increasing local renewable energy generation
 without occupying scarce available land in Santa Barbara. This report
 explores Lauro Reservoir as an appealing site for implementing this
 technology, technology that provides additional benefits such as reduced
 reservoir evaporation. Commissioning a project of this kind creates a
 win-win scenario for both the City’s energy goals and water supply system;
 however, stakeholder considerations and barriers from local, state, and
 federal levels must be navigated to prove FPV feasibility at this site. We
 assess these considerations and utilize modeling software to identify the
 costs and value of several potential FPV system configurations. After an
 exploration of system designs, co-benefits, and generation estimates,
 results show an optimal system design of 5.7 MW maximizes the site while
 producing electricity at a competitive price for the City. Implementation
 of this project could serve as a test case for further adoption of FPV on
 reservoirs by both the City of Santa Barbara and other municipalities.
description: More information
 about the project can be found at: https://bren.ucsb.edu/projects/exploring-feasibility-floating-solar-lauro-reservoir
description: Refer to the
 README.txt for more information.  The SAM-Analysis.sam file contains
 distinct inputs
 for the System Advisor Model (SAM) for energy and financial modeling of
 four different system configurations. The file can be loaded into the SAM
 software to observe assumptions and choices around cost, design,
 generation, revenues, incentives, etc. More information about the software
 and instructions for installation and use can be found at https://sam.nrel.gov
DOI: 10.57707/fmi-b2share.gxyyh-bcc96
title: Material to reproduce "The coupled uncertainties in carbon dioxide removal and transient climate response to cumulative CO2 emissions". Di Natale et al. 2025

description: Data and scripts produced to carry out the study "The coupled uncertainties in carbon dioxide removal and transient climate response to cumulative CO2 emissions" by Di Natale et al. 2025.
This material is needed to reproduce this study.

Data can be found in the link shared here.
Scripts and README file are directly uploaded here.
Read the README.md file for detailed information on how to reproduce this study, and to know the content of data and scripts.
 
The data include:
- University of Victoria Earth System Climate Model (UVic ESCM) outputs: tsi.nc (globally-averaged time series output) for each simulation done, and tavg.nc (spatial output) data for historical experiments. Each file contains combined ~300 runs of the single simulation. Description of the length of each simulation is in the Manuscript. These data are either directly used and analyzed, to produce plots, or fed to MCMC and GP emulators, together with the observational data.
- Observational data: vertical profile of ocean variables to compared to the vertical profile of corresponding variables in the UVic ESCM. They are used to constrain the emulators. SAT and CO2 observation are also plotted to compare observations and historical emulated UVic ESCM outputs.
- Emulated model outputs (through the use of MCMC and GP emulators): each simulation has 10000 realizations, which allow to explore a larger PPE ensemble (300 UVic ESCM runs). They are analyzed and used to produce plots for the Manuscript.
DOI: 10.57707/fmi-b2share.h6ge6-wg660
title: Material to reproduce "The coupled uncertainties in carbon dioxide removal and transient climate response to cumulative CO2 emissions". Di Natale et al. 2025

description: Data and scripts produced to carry out the study "The coupled uncertainties in carbon dioxide removal and transient climate response to cumulative CO2 emissions" by Di Natale et al. 2025.
This material is needed to reproduce this study.

Data can be found in the link shared here.
Scripts and README file are directly uploaded here.
Read the README.md file for detailed information on how to reproduce this study, and to know the content of data and scripts.
 
The data include:
- University of Victoria Earth System Climate Model (UVic ESCM) outputs: tsi.nc (globally-averaged time series output) for each simulation done, and tavg.nc (spatial output) data for historical experiments. Each file contains combined ~300 runs of the single simulation. Description of the length of each simulation is in the Manuscript. These data are either directly used and analyzed, to produce plots, or fed to MCMC and GP emulators, together with the observational data.
- Observational data: vertical profile of ocean variables to compared to the vertical profile of corresponding variables in the UVic ESCM. They are used to constrain the emulators. SAT and CO2 observation are also plotted to compare observations and historical emulated UVic ESCM outputs.
- Emulated model outputs (through the use of MCMC and GP emulators): each simulation has 10000 realizations, which allow to explore a larger PPE ensemble (300 UVic ESCM runs). They are analyzed and used to produce plots for the Manuscript.
DOI: 10.15468/dl.4k58ub
title: Occurrence Download

description: A dataset containing 3696349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus",
 "Year 1973-2026"
 ]
}

 The dataset includes 3696349 records from 4785 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003090-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18386055
title: Percent contribution data for Polish economics co-authors

description: This dataset contains data on authors, publications, and co-author percent contributions to publications of Polish habilitation degree applicants, collected from publicly available files from https://www.ck.gov.pl/promotion/type/l.html. Data was extracted from PDF documents for scientific research into co-author name ordering and relative input contributions of co-authors in mathematics. The datset is a CSV file with the following columns:

source: source websitediscipline: scientific discipline according to sourcegiven_name_on_list: applicant given name as listed in sourcefamily_name_on_list: applicant family name as listed in sourcesubmission_year: year of submission of habilitation applicationapplication_number: ID number of habilitation proceedingnumerical_percent_contribution_statements_found: whether any numerical percent contribution statements could be found in the self-report PDF. values: YES/NOnum_works_listed: number of works listed for the habilitation publications cyclenum_works_coauthored: number of works of the above which were co-authoredinternal_work_number: a counter to identify work within applications, can go beyond the works belonging to the habilitation cyclereference_in_application: for works with perent contribution data, the bibliographic reference as given in the self-reportnum_coauthors: number of co-authors of a publicationauthor_position: position of the name in the author list of a co-author with a numerical percent contribution, first author would have value 1, second author 2, etc.contribution_percent: the indicated numerical percent contribution, a value up to 100, in percentnote: additional informationalphabetical_order: whether the author list was in alphabetical name order. values: YES/NOcontribution_for_applicant: whether the percent contribution value of a co-author is for the habilitation applicant or not. values: YES/NOwork_is_part_of_habilitation: whether the co-authored publication formed part of the habilitation cycle of works. values: YES/NO