cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.23jfwg
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-73.27 -4.27,-73.35 -4.45,-73.29 -4.7,-73.09 -5.04,-72.58 -4.75,-72.5 -4.61,-72.82 -4.18,-73.04 -4.18,-73.27 -4.27))",
 "Geometry POLYGON((-73.65 -5.16,-72.39 -5.16,-72.39 -4.16,-73.65 -4.16,-73.65 -5.16))"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Coleoptera"
 ]
}

 The dataset includes 162 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003945-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.b2rbnzspm
title: Data from: Direct observational evidence of strong CO2 uptake in the Southern Ocean

description: These are the eddy covariance air-sea CO2 flux dataset, the subsampled CO2
 flux products, and the neural network-based interpolation of the
 SOCCOM-weighted and SOCAT plus SOCCOM datasets. These datasets are used in
 the article 'Direct observational evidence of strong CO2 uptake in
 the Southern Ocean'.
description: # Direct observational evidence of strong CO2 uptake in the Southern Ocean
 [https://doi.org/10.5061/dryad.b2rbnzspm](https://doi.org/10.5061/dryad.b2rbnzspm) ## Description of the data and file structure SA_SO_EC_data.txt: Seven cruise datasets in the Southern Ocean from 2019 to 2020, including the hourly eddy covariance (Dong et al., 2021, ACP) and bulk air-sea CO2 flux measurements and environmental variables.  SA_SO_subsamples.txt: Subsampled CO2 flux products according to the time and location of each hourly EC observation. The subsampled flux products include the SOCAT-based, SOCCOM-weighted, SOCAT plus SOCCOM-based, and model-based flux estimates.  MPI_SOM-FFN_SOCAT.nc: The neural network-based interpolation of the SOCAT v2021 dataset until 2020. The SOCAT fCO2w estimates are first averaged in 1° by 1°, monthly bins. Air-sea fluxes are then calculated using the procedure as in Landschützer et al. (2016). MPI_SOM-FFN_SOCAT_Plus_SOCCOM.nc: The neural network-based interpolation of the SOCAT plus SOCCOM dataset until 2020. The SOCCOM fCO2w estimates are first averaged in 1° by 1°, monthly bins, which are subsequently averaged with the equivalent SOCAT 1° by 1°, monthly bins. Air-sea fluxes are then calculated using the same procedure as the other SOMFFN products (Landschützer et al., 2016; Bushinsky et al., 2019).   MPI_SOM-FFN_SOCCOM_Weighted.nc: The same procedure as 'MPI_SOM-FFN_SOCAT_Plus_SOCCOM.nc' is followed, except that south of 30°S and from 2014 to 2020, only SOCCOM float data is used. This flux product was conceived as a test to determine how much the air-sea flux would change if weighted heavily toward the float fCO2w estimates (Landschützer et al., 2016; Bushinsky et al., 2019).
DOI: 10.15468/dl.vcyw2f
title: Occurrence Download

description: A dataset containing 4857 records in GBIF matching the query:
SELECT
 '486' 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;= 46.479780028101516
 AND decimalLatitude &lt;= 51.21395264452012
 AND decimalLongitude &gt;= 88.12157328514692
 AND decimalLongitude &lt;= 100.2215702458641
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 4857 records were derived from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003931-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6069/kj69-7798
title: Development Assistance for Health Database 1990-2025, 14 November 2025

description: This version of the Development Assistance for Health (DAH) Database includes estimates for 1990- 2025, which are based on project databases, financial statements, annual reports, IRS 990s, and correspondence with agencies. The DAH Database enables comprehensive analysis of trends in international disbursements of grants and loans for health projects in low- and middle-income countries from key agencies. The data are disaggregated by source of funds, channel of funding, country and geographic region, health focus areas, and program areas. The data from 2024 onwards and in particular the data for 2025 is preliminary. 

To better understand the data and how to use it, please refer to the IHME DAH Database 2025 User Guide.
DOI: 10.5061/dryad.zkh1893ht
title: Southern Giant Petrel counts and Magellanic Penguin fledging weights

description: Southern Giant Petrels (Macronectes giganteus) are important consumers
 that range across the oceans throughout the southern hemisphere. In
 Argentina, previous studies have shown they eat primarily pinnipeds and
 penguins, which they are assumed to scavenge, although there are
 occasional anecdotes of them attacking living penguins. Here we describe a
 predation attempt by a trio of Southern Giant Petrels on a molting adult
 Magellanic Penguin (Spheniscus magellanicus) at the large colony at Punta
 Tombo, Argentina. We relate giant petrel attendance patterns at the colony
 to the penguins’ phenology, showing how giant petrel numbers rise with the
 increasing prevalence of vulnerable penguins. We suggest that living
 penguins—both fledglings and adults—may constitute a more seasonally
 significant proportion of the giant petrel diet than previously assumed,
 and their capture may represent a specialized predation technique.
description: # Southern Giant Petrel counts and Magellanic Penguin fledging weights
 [https://doi.org/10.5061/dryad.zkh1893ht](https://doi.org/10.5061/dryad.zkh1893ht) This repository contains two datasets from a study of Southern Giant Petrel predation of Magellanic Penguins. The first dataset contains counts of giant petrels attending a beach at the Magellanic Penguin colony at Punta Tombo, Argentina, from 1986 to 2023 to determine seasonal phenology. The second dataset contains the departure weights of Magellanic Penguin chicks from when they fledged between 2007 and 2023, to determine temporal trends. ## Description of the data and file structure Included are two .csv files. The Southern Giant Petrel count dataset has 1,726 counts with the count of giant petrels, the year in which it was done (called BookYear in our scheme), the Days Since September 1, and whether the count was done in the AM or PM (the Time column). The fledgling weight dataset has ~1,060 observations with year (as BookYear again), Julian Day, Days Since 1 Sept, fledgling weight (kg), and the full date.
DOI: 10.5061/dryad.x95x69psj
title: Skull evolution and lineage diversification in endemic Malagasy carnivorans

description: Madagascar is one of the world’s foremost biodiversity hotspots with more
 than 90% of its species endemic to the island. Malagasy carnivorans are
 one of only four extant terrestrial mammalian clades endemic to
 Madagascar. Although there are only eight extant species, these
 carnivorans exhibit remarkable phenotypic and ecological diversity that is
 often hypothesized to have diversified through an adaptive radiation.
 Here, we investigated the evolution of skull diversity in Malagasy
 carnivorans and tested if they exhibited characteristics of convergence
 and an adaptive radiation. We found that their skull disparity exceeds
 that of any other feliform family, as their skulls vary widely and
 strikingly capture a large amount of the morphological variation found
 across all feliforms. We also found evidence of shared adaptive zones in
 cranial shape between euplerid subclades and felids, herpestids, and
 viverrids. Lastly, contrary to predictions of adaptive radiation, we found
 that Malagasy carnivorans do not exhibit rapid lineage diversification and
 only marginally faster rates of mandibular shape evolution, and to a
 lesser extent cranial shape evolution, compared to other feliforms. These
 results reveal that exceptional diversification rates are not necessary to
 generate the striking phenotypic diversity that evolved in carnivorans
 after their dispersal to and isolation in Madagascar.
description: # Skull evolution and lineage diversification in endemic Malagasy
 carnivorans
 [https://doi.org/10.5061/dryad.x95x69psj](https://doi.org/10.5061/dryad.x95x69psj) ## Description of the data and file structure cran_data.Rdata contains raw data from cranial analyses: 1. raw_cran_data = raw landmarks 2. tree_mcc = carnivoran phylogeny used for analyses (from Upham et al. 2019) 3. lm_pairs = identify matching landmark and semilandmark pairs (left and right side of the cranium) 4. cran_groups_data = categorize each feliform as catlike, civetlike, or mongoose-like for convergence comparisons 5. sliders = sliders file to indicate semilandmarks mand_data.Rdata contains raw data from mandibular analyses: 1. raw_mand_data = raw landmarks 2. tree_mcc = carnivoran phylogeny used for analyses (from Upham et al. 2019) 3. lm_pairs = identify matching landmark and semilandmark pairs (left and right side of the mandible) 4. mand_groups_data = categorize each feliform as catlike, civetlike, or mongoose-like for convergence comparisons ## Code/Software cran_rscript and mand_rscript = R scripts to view and run data analyses.
DOI: 10.15468/dl.cagqzf
title: Occurrence Download

description: A dataset containing 11626 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ziphius cavirostris"
 ]
}

 The dataset includes 11626 records from 349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003946-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.sbcc2frf5
title: The docked poses from the docking screens against the AlphaFold2 models of the σ2 and 5HT2A receptors

description: Though AlphaFold2 (AF2) models have had wide impact, they have had mixed
 success in retrospective ligand recognition. Here, we prospectively docked
 large libraries against unrefined AF2 models of the σ2 and 5-HT2A
 receptors, testing hundreds of new molecules and comparing results to
 docking against the experimental structures. Hit rates were high and
 similar for the experimental and the AF2 structures, as were affinities.
 The success of docking against the AF2 models was achieved despite
 differences in orthosteric residue conformations versus the experimental
 structures. Determination of the cryoEM structure for one of the more
 potent 5HT2A ligands from the AF2 docking revealed residue accommodations
 that resembled the AF2 prediction. AF2 models may sample conformations
 that differ from experimental structures but remain low energy and
 relevant for ligand discovery, extending the domain of structure-based
 ligand discovery. This repository contains docked poses shown in this
 study. The data contain: 1) AlphaFold2 models of the σ2 and 5HT2A
 receptors used to generate these two docked poses:
 AF-Q5BJF2-F1-model_v1_prep.pdb is the AlphaFold2 model used for docking
 against the σ2 receptor. AF-P28223-F1-model_v1_prep.pdb is the AlphaFold2
 model used for docking against the 5HT2A receptor. 2) Docked poses of
 ZINC866533340 in the σ2 model and Z7757 (ZINClB000002x4yW) in the 5HT2A
 model: ZINC000866533340_af.mol2 is the docked pose of ZINC866533340 in the
 σ2 model. 7757_af.mol2 is the docked pose of Z7757 (ZINClB000002x4yW) in
 the 5HT2A model.
description: # The docked poses from the docking screens against the AlphaFold2 models
 of the σ2 and 5HT2A receptors
 [https://doi.org/10.5061/dryad.sbcc2frf5](https://doi.org/10.5061/dryad.sbcc2frf5) This repository contains docked poses shown in the following paper. Lyu, J., Kapolka, N., Gumpper, R., Alon, A., Wang, L., Jain, M. K., ... & Roth, B. L. (2023). AlphaFold2 structures template ligand discovery. *bioRxiv*, 2023-12. The data contain 1) AlphaFold2 models of the σ2 and 5HT2A receptors used to generate these two docked poses and 2) docked poses of ZINC000866533340 in the σ2 model and Z7757 (ZINClB000002x4yW) in the 5HT2A model. ## Description of the data and file structure AF-Q5BJF2-F1-model_v1_prep.pdb is the AF2 model used for the docking against the σ2 receptor; AF-P28223-F1-model_v1_prep.pdb is the AF2 model used for the docking against the 5HT2A receptor; ZINC000866533340_af.mol2 is the docked pose of ZINC000866533340 in the σ2 model. 7757_af.mol2 is the docked pose of Z7757 (ZINClB000002x4yW) in the 5HT2A model.
DOI: 10.5061/dryad.brv15dvh9
title: Data from: Palaeoscolecids from the Ludlow Series of Leintwardine, Herefordshire (UK) – the latest occurrence of palaeoscolecids in the fossil record

description: The documentation of cuticular micro-ornament is vital for the taxonomic
 assignment of palaeoscolecids – vermiform lower Palaeozoic ecdysozoans
 interpreted as stem-group priapulans or early diverging panarthropods.
 This is due to the absence of the character-rich proboscis and tail hooks
 in palaeoscolecid material not from Burgess Shale-type
 Konservat-Lagerstätten. Here, the cuticular micro-ornamentation of
 palaeoscolecids from the upper Silurian (Ludlow) fauna of Leintwardine
 (Herefordshire, England), is described using scanning electron microscopy
 (SEM) and Reflectance Transformation Imaging (RTI). This material is
 taxonomically unstable as it was included in an effective wastebasket
 genus (Protoscolex) long before these imaging techniques were developed.
 This reveals the Leintwardine material is most closely comparable to a
 palaeoscolecid from the Darriwilian (Middle Ordovician) of the
 Builth-Llandrindod inlier, Powys, Wales, and is transferred accordingly to
 Radnorscolex Botting et al. as Radnorscolex latus Bather. The Leintwardine
 fauna represents the uppermost stratigraphic occurrence of
 palaeoscolecids, constrained to the Saetograptus leintwardinensis Zone
 (lower Ludfordian), and the comparatively sparse Silurian palaeoscolecid
 record is subsequently discussed. It is hypothesised palaeoscolecids may
 have become extinct during the mid-Ludfordian Lau Event, the onset of
 which is recorded in the biozone immediately above the Leintwardine fauna
 (Bohemograptus Zone). Finally, the British palaeoscolecid fauna is
 summarised, including a new record from the Dapingian (Middle Ordovician)
 of Carmarthenshire, South Wales.
description: A FlyDome RTI dome and Canon EOS 5D mkiv were used to produce
 polynomial texture maps (PTM) using either a Canon MP-E 65 mm or a Canon
 EF 100 mm macro lens. Where possible, RTI imaging made use of 54 available
 LEDs but for close-up images using the MP-E 65 mm lens the ring of LEDs
 providing the highest angle of illumination were obstructed by the lens
 and excluded, therefore using a total of 42 images. PTMs were constructed
 using RelightLab (Ponchio <em>et al. </em>2019).
description: # Data from: Palaeoscolecids from the Ludlow Series of Leintwardine,
 Herefordshire (UK) – the latest occurrence of palaeoscolecids in the
 fossil record
 [https://doi.org/10.5061/dryad.brv15dvh9](https://doi.org/10.5061/dryad.brv15dvh9) ## Description of the data and file structure This dataset includes polynomial texture maps in .ptm format that can be read using RTIviewer. ## Sharing/Access information All specimens are housed at public institutions, identified with the following institutional abbreviations in the filenames of the .ptm files CMZ = Cole Museum of Zoology, Reading. NHMUK = Natural History Museum, London.
DOI: 10.15483/3014728
title: FleetREDI: Mail Delivery Class 6 Propane Trucks

description: Capturing real-world data is critical to reducing the barriers to technology advancement for commercial vehicles. FleetREDI’s insights provide detailed duty cycle information and highlight unique aspects of the given dataset. Each insight delivers a quick look at the collected data by summarizing the operation and identifying key findings of the initial analysis. This FleetREDI insight explores propane and diesel Class 6 mail delivery trucks.

Propane-powered commercial vehicles can achieve the same duty cycles and match the power, acceleration, and cruising speeds of conventionally fueled vehicles while producing significantly less emissions of tailpipe oxides of nitrogen (NOx). The primary goal of the project was to demonstrate alternative fuel vehicles in a mail transport application and evaluate the viability of propane as a cost-effective alternative to conventional diesel trucks.

![FleetREDI clean delivery trucks](FleetREDI-clean-delivery.jpg)
DOI: 10.5061/dryad.qjq2bvqpv
title: Mentalising mechanisms underly strategic coordination in Guinea baboons (Papio papio)

description: It remains controversial whether the ability to mentalise is confined to
 humans. To address this question, Guinea baboons living in a social colony
 freely came to play a 2-players coordination game with any other baboon,
 or alone (social vs solo conditions). In fact, in both conditions, they
 interacted with an identical Artificial Agent. Their choice behaviour
 depended on the social context and their relative dominance hierarchy. A
 mentalising computational model accounted for baboons’ behaviour better
 than simpler models without mentalizing components in the social condition
 while the same baboons used a simpler strategy when they played alone.
 Together, these findings indicate that computations required for
 mentalising and used for coordination learning may have evolved in the
 common ancestor of the Old-World monkey and apes.
description: Automated data collection by S-ALDM at Rousset Primates
 Station.
description: # Mentalising mechanisms underly strategic coordination in Guinea baboons
 (*Papio papio*)
 [https://doi.org/10.5061/dryad.qjq2bvqpv](https://doi.org/10.5061/dryad.qjq2bvqpv) ## Description of the data and file structure Variable definitions: * Programme: condition (Test=social, ghost=solo) x session (1 or 2) * Nom: tested baboon's name (2nd chooser) * Box: ID of the box of the tested baboon * Sexe: sex * Famille: Family ID * Age: tested baboon's age in months * Score: 1=success (rewarded), 0=failure (not rewarded) * remoteName: other baboon's name * TrialNumber: trial number over the whole experiment * FollowerResponse: tested baboon's choice. It has the form "test-nb1-nb2-nb3", where nb1, nb2, and nb3 are integers that are either equal to 1 or 2. nb1 represents the ID of the pair of visual cues that were used and that are randomized across subjects. nb2 represents the session number. nb3 represents the ID of the cue within the pair of visual cues. The sequence nb1-nb2-nb3 uniquely maps to a shape and color that were used during the experiment. * FollowTarget: rewarding choice [choice of Artificial Agent (AA)] * FollowDist: non-rewarding choice ("distractor") * FollowTargetPos: position of the rewarding choice (choice of AA) * prevstim1: choice (target ID) at n-1 * prevscore1: outcome (success=1, failure=0) at n-1 * prevstim2: choice (target ID) at n-2 * prevscore2: outcome (success=1, failure=0) at n-2 * nbocc: number of occurrences of such sequence of events previously in history * nbstim1: number of times target ID 1 was chosen after such an event * prob1: the probability of choosing target ID 1 by AA * randNumb: random number drawn by the AA to compare to prob1 * EloScore: ELO score of tested baboon ## Sharing/Access information OSF: link in Related Works section ## Code/Software OSF: link in Related Works section
DOI: 10.6069/extf-0z93
title: Global Expected Health Spending 2023-2050, 14 November 2025

description: Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2023-2050 for 204 countries and territories. The estimates cover total health spending, health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and prepaid private), and development assistance for health (DAH). Retrospective health spending estimates for 1995-2022 and key covariates (including GDP per capita, total government spending, total fertility rate, and fraction of the population older than 65 years) were used to forecast GDP and health spending through 2050. Estimates are reported in constant 2023 US dollars, constant 2023 purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.
DOI: 10.5061/dryad.4mw6m90jc
title: Orthomosaics from panoramic photos for Hawaiian roadways

description: Natural hazards pose a significant risk to transport infrastructure and
 can cause annual direct damage of 3.1 to 22 billion US dollars globally,
 with 84% of it being flooding-related. Cost-effective approaches to
 assessing road damage and conditions are vital for repairing and
 reconstructing the transportation infrastructure after hazards. We
 conducted a study that presents a novel methodology developed for
 generating highly detailed orthomosaics of road surfaces, achieving
 millimeter-level spatial resolution. The approach utilizes panoramic
 photos obtained from a mobile camera system, coupled with
 Structure-from-Motion (SfM) technology. A key aspect of the methodology is
 the accurate masking of the ego-vehicle, sky, and moving objects (such as
 vehicles, bicycles, and pedestrians) present in the street scenes captured
 by the photos. This masking process involves a combination of deep
 learning algorithms, image processing techniques, and manual editing. The
 study demonstrates that removing these objects from the images
 significantly improves photo alignment precision and enhances the overall
 quality of the orthomosaics. The resulting orthomosaics are found to be
 highly applicable for GIS analysis and the assessment of road conditions
 and damages.
description: The 360-degree panoramic photos were captured using an NCTECH
 iStar Pulsar mobile mapping system provided by NDPTC.  A total of 102,
 272, and 100 panoramic photos were used in Kuhio, Ala Manoa, and UH,
 respectively, for our data analysis. Orthomosaics were generated from
 these photos using the methodology developed in this study and the
 Structure-from-Motion technique.
description: # Orthomosaics derived from panoramic photos for Hawaiian roadways
 [https://doi.org/10.5061/dryad.4mw6m90jc](https://doi.org/10.5061/dryad.4mw6m90jc) Orthomosaics were generated from panoramic photos using the methodology developed in our study and the Structure-from-Motion technique.  ## Description of the data and file structure Each orthomosaic file was stored in GeoTIFF format with the WGS84 geographic coordinate system. The orthomosaics are organized based on the three roadways (UH Manoa campus on Oahu, Ala Manoa Boulevard on Oahu, and Kuhio Highway on Kauai).  ## Code/Software The orthomosaics were generated using Agisoft Metashape Professional Edition 1.8.3. Masks for non-road-surface objects were generated using deep learning algorithms, image processing techniques, and manual editing.
DOI: 10.57745/jtrdia
title: Sleep_welfare.Rmd

description: The code consists of R scripts used for data processing, statistical analyses, and figure generation associated with the dataset. The scripts implement linear and mixed-effects models, residual diagnostics, and data visualisation to investigate relationships between sleep variables, age, salivary cortisol concentrations, and abnormal behaviours.