cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28262700.v1
title: Molecular evidence of frugivorous bats (Chiroptera: Phyllostomidae) consuming <i>Vanilla planifolia</i> (Orchidaceae)

description: In Mexico and Central America, little is known about the interactions between <i>Vanilla planifolia</i> and its dispersers. Using mist nets, we captured frugivorous bats to obtain fecal samples and extracted DNA from them. By using molecular biology, we compared the sequences obtained with those available in the GenBank. We captured 459 bats, of which one individual of <i>Carollia perspicillata</i>, <i>Sturnira hondurensis</i> and <i>S. parvidens,</i> respectively, had consumed <i>V. planifolia</i>, all of which were females with no evidence of reproductive activity. This is the first molecular evidence of <i>V. planifolia</i> consumption by bats and confirms that this orchid–bat interaction not only exists but also occurs in three species of bats. This interaction could be occurring by consuming the fruits when they become dehiscent, once the bats are attracted by the aroma.
DOI: 10.6084/m9.figshare.28748573
title: Predicting the invasion of the common wall gecko (<i>Tarentola mauritanica</i>) in the southern cone of South America

description: The common wall gecko (<i>Tarentola mauritanica</i>) has invaded three regions globally: the Azores and Madeira archipelagos, the subtropical and temperate regions of North America, and the south of South America. The information about the invasion in South America is limited, and records suggest rapid expansion in the continent’s south. In this work, we modeled the gecko’s distribution in its native range to identify potential invasion sites in the Southern Cone of South America, updating its geographic distribution and assessing their potential threat to native South American geckos. The most contributive variables in the Species Distribution Model included precipitation of the driest quarter, minimum temperature of the coldest month, and temperature seasonality. The habitat suitable for the expansion of geckos in the Southern Cone covers 1,397,558.36 km<sup>2</sup>, with the highest being in the north-central part of Argentina. The species <i>Homonota taragui</i>, <i>Homonota williamsii</i>, and <i>Homonota whitii</i> had the greatest degree of overlap with the suitable habitat of <i>T. mauritanica</i>, requiring particular caution against future introductions. This underscores the importance of understanding and mitigating the risks associated with the invasive potential of <i>T. mauritanica</i> in the Southern Cone of South America, specially to the endemic and endangered species, living in rocky areas.
DOI: 10.6084/m9.figshare.28748573.v1
title: Predicting the invasion of the common wall gecko (<i>Tarentola mauritanica</i>) in the southern cone of South America

description: The common wall gecko (<i>Tarentola mauritanica</i>) has invaded three regions globally: the Azores and Madeira archipelagos, the subtropical and temperate regions of North America, and the south of South America. The information about the invasion in South America is limited, and records suggest rapid expansion in the continent’s south. In this work, we modeled the gecko’s distribution in its native range to identify potential invasion sites in the Southern Cone of South America, updating its geographic distribution and assessing their potential threat to native South American geckos. The most contributive variables in the Species Distribution Model included precipitation of the driest quarter, minimum temperature of the coldest month, and temperature seasonality. The habitat suitable for the expansion of geckos in the Southern Cone covers 1,397,558.36 km<sup>2</sup>, with the highest being in the north-central part of Argentina. The species <i>Homonota taragui</i>, <i>Homonota williamsii</i>, and <i>Homonota whitii</i> had the greatest degree of overlap with the suitable habitat of <i>T. mauritanica</i>, requiring particular caution against future introductions. This underscores the importance of understanding and mitigating the risks associated with the invasive potential of <i>T. mauritanica</i> in the Southern Cone of South America, specially to the endemic and endangered species, living in rocky areas.
DOI: 10.6084/m9.figshare.29668584.v1
title: They are among us: issues and perspectives on urban anacondas (Boidae: <i>Eunectes</i>)

description: Urban growth is a megatrend, compelling wildlife to coexist with humans. Anacondas (Boidae: <i>Eunectes</i>) are frequently found within Brazilian cities. Here, we documented the occurrence of anacondas in Brazilian cities using online news as the information source, providing insights into their spatial distribution, body size, and ecological roles in urban environments. We also examined rescue procedures and proposed measures for improving urban fauna management and conservation. We found 189 records published between 2008 and 2022, with an exponential increase in recent years and with no seasonal pattern. Records originated from 84 cities in 18 Brazilian states, mostly from the North region. Government bureaus are the main actors in anaconda rescues, typically returning individuals to natural habitats. Most rescued anacondas are adults. We provide information on wildlife rescue operations in Brazil. We also highlight the adaptability of anacondas to human-altered landscapes, the increasing media attention given to human–anaconda interactions, and the lack of information on the homing and survival of rescued and translocated individuals. Our findings suggest that environmental connectivity allows top predators to maintain functional populations within large Brazilian cities and emphasize the necessity for a paradigm shift from reactive rescues to proactive long-term solutions.
DOI: 10.6084/m9.figshare.29668584
title: They are among us: issues and perspectives on urban anacondas (Boidae: <i>Eunectes</i>)

description: Urban growth is a megatrend, compelling wildlife to coexist with humans. Anacondas (Boidae: <i>Eunectes</i>) are frequently found within Brazilian cities. Here, we documented the occurrence of anacondas in Brazilian cities using online news as the information source, providing insights into their spatial distribution, body size, and ecological roles in urban environments. We also examined rescue procedures and proposed measures for improving urban fauna management and conservation. We found 189 records published between 2008 and 2022, with an exponential increase in recent years and with no seasonal pattern. Records originated from 84 cities in 18 Brazilian states, mostly from the North region. Government bureaus are the main actors in anaconda rescues, typically returning individuals to natural habitats. Most rescued anacondas are adults. We provide information on wildlife rescue operations in Brazil. We also highlight the adaptability of anacondas to human-altered landscapes, the increasing media attention given to human–anaconda interactions, and the lack of information on the homing and survival of rescued and translocated individuals. Our findings suggest that environmental connectivity allows top predators to maintain functional populations within large Brazilian cities and emphasize the necessity for a paradigm shift from reactive rescues to proactive long-term solutions.
DOI: 10.6084/m9.figshare.28017252
title: Morphometric delimitation of <i>Pterinopelma longisternale</i> (Bertani, 2001) and <i>Pterinopelma roseum</i> (Mello-Leitão, 1923) (Mygalomorphae, Theraphosidae)

description: Delimiting morphological characters for phylogenetic studies in Mygalomorphae taxa can be challenging due to their conservative morphology, oftenresulting in the establishment of diagnoses with overlapping characters of continuous variation. The Theraphosidae species <i>P. longisternale</i> and <i>P. roseum</i> are considered sister species and the main diagnostic character to distinguish them is the sternum length. We tested the significance of this character in distinguishing these two species using the landmark-based analysis to explore the sternum morphometric variations. Our results showed that sternum shape variations between <i>P. longisternale</i> and <i>P. roseum</i> are continuous and can be differentiated by the width x length ratio, although they are associated with other diagnostical characters, as the size of the branches of the tibial apophysis and the palpal bulb subapical keel.
DOI: 10.6084/m9.figshare.28017252.v1
title: Morphometric delimitation of <i>Pterinopelma longisternale</i> (Bertani, 2001) and <i>Pterinopelma roseum</i> (Mello-Leitão, 1923) (Mygalomorphae, Theraphosidae)

description: Delimiting morphological characters for phylogenetic studies in Mygalomorphae taxa can be challenging due to their conservative morphology, oftenresulting in the establishment of diagnoses with overlapping characters of continuous variation. The Theraphosidae species <i>P. longisternale</i> and <i>P. roseum</i> are considered sister species and the main diagnostic character to distinguish them is the sternum length. We tested the significance of this character in distinguishing these two species using the landmark-based analysis to explore the sternum morphometric variations. Our results showed that sternum shape variations between <i>P. longisternale</i> and <i>P. roseum</i> are continuous and can be differentiated by the width x length ratio, although they are associated with other diagnostical characters, as the size of the branches of the tibial apophysis and the palpal bulb subapical keel.
DOI: 10.15468/dl.9gpub5
title: Occurrence Download

description: A dataset containing 142292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prionace glauca",
 "HasCoordinate is true"
 ]
}

 The dataset includes 142292 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069804-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30442910
title: IB2d Fish Swimming Example

description: Simulation Source Files for the IB2d Example of a<i> Fish</i> Swimming.<br>Uses the MATLAB version of IB2d.This is a purposefully lower resolution example than what's in the manuscript. By making it a lower resolution, the time-step could also be increased. The domain is also smaller. It that takes ~15 minutes to run.A visualization (*.mp4) is also provided.Please see the <b>README</b> file for additional information.<br><br>
DOI: 10.6084/m9.figshare.30442910.v1
title: IB2d Fish Swimming Example

description: Simulation Source Files for the IB2d Example of a<i> Fish</i> Swimming.<br>Uses the MATLAB version of IB2d.This is a purposefully lower resolution example than what's in the manuscript. By making it a lower resolution, the time-step could also be increased. The domain is also smaller. It that takes ~15 minutes to run.A visualization (*.mp4) is also provided.Please see the <b>README</b> file for additional information.<br><br>
DOI: 10.34847/nkl.619387nc
title: 3 Actionnaires de la Banque de France
title: 3 Banque de France Shareholders

description: Ce fichier présente un échantillon des principaux actionnaires et dirigeants de la Banque de France pour 1801 puis tous les cinq ans jusqu'en 1936. Historien à la Banque de France, Arnaud Manas nous a aimablement fourni une copie des listes de ces actionnaires et nous y avons joint les renseignements les concernant que fournissent l’état civil (à la naissance, au mariage et au décès) et l’Enregistrement (la richesse au décès selon les Tables de successions et absences).
DOI: 10.6084/m9.figshare.30443114
title: Fishes Go MOO: Neural Network Data Prediction

description: <br><b>Neural Network Prediction</b>:<br>NN scripts and data by N.A. Battista<br><br><b><i>Cite</i></b>: <br>N.A. Battista, Fishes Go MOO: Pareto analysis for speed and cost of transport across a<br>6-dimensional design space. ______ (2025)<br>DOI<br><br>-----------------------------------------------------------------------------------------<br><br><b>MATLAB SCRIPTS</b>:<br> |<br> |--&gt;<b><i> Prediction_LinePlots.m:</i></b><br> Uses the Neural Network to predict speeds across<br> the(f,Tamp)-subspace, ie, predicts speeds across<br> a 2-D slice out of the overall 6-D parameter space<br> |<br> |--&gt; Provides plots of the speeds across particular slices.<br> |--&gt; As frequency and tail beat amplitude vary, the other<br> 4 input parameters are held constant.<br><br> |<br> |--&gt; <b><i>Prediction_Errors_Speed.m</i></b> Calculates the relative errors btwn the simulated speed<br> values and those predicted via the Neural Network<br> across both the training and test datasets<br> |<br> |--&gt; Prints error statistics to the command window<br> |--&gt; Provides a qualitative comparison plot<br> |--&gt; Provides histograms of the PDF and CDF for the<br> relative errors<br> |<br> |--&gt; Each script is self-contained. That is they contain all the<br> necessary supporting functions in order to run, e.g.,<br> forward propagation, activation function, scaling functions, etc<br><br><br>-----------------------------------------------------------------------------------------<br><b>DATA PROVIDED</b><br> |<br> |--&gt; <b><i>Trained_Neural_Network.ma</i></b>t<br> |--&gt; Contains the trained weight matrices<br> and bias vectors for the NN<br> |<br> |--&gt; <b><i>TRAINING_and_TEST_data.mat</i></b><br> |--&gt; Contains the input parameters and speed<br> values for both the training and test<br> datasets<br> |--&gt; speed data is given in both the simulation<br> values as well as the transformed values<br> for the NN (ie, those after the Box-Cox<br> transforms and standardization)<br> |<br> |--&gt; <b><i>SCALING_INFO.mat</i></b><br> |--&gt; Provides the data transformation parameters<br> for transforming the data into and out of<br> the NN's worldview (ie, the Box-Cox<br> transform params, standardization params, etc)<br>
DOI: 10.6084/m9.figshare.30443114.v1
title: Fishes Go MOO: Neural Network Data Prediction

description: <br><b>Neural Network Prediction</b>:<br>NN scripts and data by N.A. Battista<br><br><b><i>Cite</i></b>: <br>N.A. Battista, Fishes Go MOO: Pareto analysis for speed and cost of transport across a<br>6-dimensional design space. ______ (2025)<br>DOI<br><br>-----------------------------------------------------------------------------------------<br><br><b>MATLAB SCRIPTS</b>:<br> |<br> |--&gt;<b><i> Prediction_LinePlots.m:</i></b><br> Uses the Neural Network to predict speeds across<br> the(f,Tamp)-subspace, ie, predicts speeds across<br> a 2-D slice out of the overall 6-D parameter space<br> |<br> |--&gt; Provides plots of the speeds across particular slices.<br> |--&gt; As frequency and tail beat amplitude vary, the other<br> 4 input parameters are held constant.<br><br> |<br> |--&gt; <b><i>Prediction_Errors_Speed.m</i></b> Calculates the relative errors btwn the simulated speed<br> values and those predicted via the Neural Network<br> across both the training and test datasets<br> |<br> |--&gt; Prints error statistics to the command window<br> |--&gt; Provides a qualitative comparison plot<br> |--&gt; Provides histograms of the PDF and CDF for the<br> relative errors<br> |<br> |--&gt; Each script is self-contained. That is they contain all the<br> necessary supporting functions in order to run, e.g.,<br> forward propagation, activation function, scaling functions, etc<br><br><br>-----------------------------------------------------------------------------------------<br><b>DATA PROVIDED</b><br> |<br> |--&gt; <b><i>Trained_Neural_Network.ma</i></b>t<br> |--&gt; Contains the trained weight matrices<br> and bias vectors for the NN<br> |<br> |--&gt; <b><i>TRAINING_and_TEST_data.mat</i></b><br> |--&gt; Contains the input parameters and speed<br> values for both the training and test<br> datasets<br> |--&gt; speed data is given in both the simulation<br> values as well as the transformed values<br> for the NN (ie, those after the Box-Cox<br> transforms and standardization)<br> |<br> |--&gt; <b><i>SCALING_INFO.mat</i></b><br> |--&gt; Provides the data transformation parameters<br> for transforming the data into and out of<br> the NN's worldview (ie, the Box-Cox<br> transform params, standardization params, etc)<br>
DOI: 10.25318/1310097201-eng
title: Health characteristics, two-year period estimates

description: Health characteristics, two-year period estimates, by age group and sex, Canada, provinces, territories, and health regions.
DOI: 10.15468/dl.5x4ysf
title: Occurrence Download

description: A dataset containing 705342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larus brachyrhynchus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 705342 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069817-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive24750.20241212.9.2
title: Methyloceanibacter caenitepidi Takeuchi et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24753.20241212.9.2
title: Phreatobacter oligotrophus Tóth et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24754.20241212.9.2
title: Teredinibacter turnerae Distel et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24757.20241212.9.2
title: Teredinibacter turnerae Distel et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24758.20241212.9.2
title: Teredinibacter turnerae Distel et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24759.20241212.9.2
title: Teredinibacter turnerae Distel et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24761.20241212.9.2
title: Plasticicumulans lactativorans Jiang et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.23728/b2share.2806a0e628d44a36b5351b052cbebb6f
title: LTER Zöbelboden, Austria, Soil water chemistry 2023

description: Soil water chemistry of two forest stands in the site LTER Zöbelboden from the year 2023
DOI: 10.13145/bacdive24762.20241212.9.2
title: Neiella marina Du et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24763.20241212.9.2
title: Pleionea mediterranea Fagervold et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24764.20241212.9.2
title: Anaerococcus pacaensis Pagnier et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24765.20241212.9.2
title: Peptoniphilus timonensis Mishra et al. 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24768.20241212.9.2
title: Christensenella hongkongensis (Lau et al. 2014) Liu et al. 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24769.20241212.9.2
title: Blautia faecis Park et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24770.20241212.9.2
title: Vallitalea guaymasensis Lakhal et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24771.20241212.9.2
title: Vallitalea pronyensis Ben Aissa et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24772.20241212.9.2
title: Intestinimonas butyriciproducens Kläring et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24773.20241212.9.2
title: Thermoanaerobaculum aquaticum Losey et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24774.20241212.9.2
title: Pyrinomonas methylaliphatogenes Crowe et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24778.20241212.9.2
title: Paludibaculum fermentans Kulichevskaya et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24779.20241212.9.2
title: Geoglobus ahangari Kashefi et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24783.20241212.9.2
title: Exiguobacterium alkaliphilum Kulshreshtha et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24784.20241212.9.2
title: Geomicrobium sediminis Xiong et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24785.20241212.9.2
title: Mesoaciditoga lauensis Reysenbach et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24786.20240916.9.1
title: Marinifilum flexuosum Ruvira et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24787.20241212.9.2
title: Aliifodinibius roseus Wang et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24788.20241212.9.2
title: Aliifodinibius sediminis Wang et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive24791.20241212.9.2
title: Desulfocarbo indianensis An and Picardal 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.