cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9hw4ha
title: Occurrence Download

description: A dataset containing 1308 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventario herpetofaunístico de la reserva de la biosfera La Sepultura, Chiapas, México"
 ]
}

 The dataset includes 1308 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003888-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.djh9w0w6v
title: Camera-trap data for fitting the random encounter model to estimate densities of coyotes and black-tailed jackrabbits in the Mojave Desert

description: These data are comprised of input files formatted for fitting the random
 encounter model to estimate seasonal densities of coyotes (Canis latrans)
 and black-tailed jackrabbits (Lepus californicus) in the Mojave Desert,
 USA. Data were collected from 40 camera-traps that were randomly placed
 with respect to coyote and/or jackrabbit sign (e.g., tracks, scat, direct
 observations) and 43 camera-traps that were strategically placed where
 coyote and/or jackrabbit sign existed. Data were collected within and
 adjacent to the Boulder City Conservation Easment, Nevada, USA, during
 2019-2021. Data were collected as part of a predator-prey ecology study
 for which one component was to estimate seasonal densities of coyotes and
 black-tailed jackrabbits through time.
description: Data were collected from 40 camera-traps that were randomly
 placed with respect to coyote and/or jackrabbit sign (e.g., tracks, scat,
 direct observations) and 43 camera-traps that were strategically placed
 where coyote and/or jackrabbit sign existed. Data were collected within
 and adjacent to the Boulder City Conservation Easment, Nevada, USA. Data
 files are formatted for fitting the random encounter model, and are
 organized by season (wet vs. dry), year (2019, 2020, 2021), and species
 (coyote vs. jackrabbit).
description: # Camera-trap data for fitting the random encounter model to estimate
 densities of coyotes and black-tailed jackrabbits in the Mojave Desert
 [https://doi.org/10.5061/dryad.djh9w0w6v](https://doi.org/10.5061/dryad.djh9w0w6v) Camera-trap detection data (**REM_Camera_Data_2019-2021.csv**) comprised of coyote and black-tailed jackrabbit detections, camera detection parameters, and camera operation times formatted for fitting the random encounter model to estimate densities. ## Description of the data and file structure Data are formatted specifically for fitting the random encounter model using the remBoot package in R ([GitHub - arcaravaggi/remBoot: R package for Random Encounter Modelling](https://github.com/arcaravaggi/remBoot)). Descriptions of variables are provided below: Camera - Categorical identifier for each camera-trap site. Randomly deployed cameras have A through J prefixes. Strategically deployed cameras have WC prefixes. Site - Categorical identifier for each species x year x season dataset. The BTJ and COY prefixes denote data for black-tailed jackrabbits and coyotes, respectively. Seasons are denoted by W and S endings to the identifier, which represent winter and summer, respectively. Count - The number of unique detection events of a given species recorded at each camera during each year x season. Distance - The radial detection distance (m) from each camera. This was value was fixed at 0.005 for all cameras. Theta - The zone (arc) of detection for each camera. This value was fixed at 0.7661 for all cameras. Time - The total number of days that each camera was active and operational during each year x season.
DOI: 10.5061/dryad.pzgmsbcvg
title: Dead mammal walking: a month-long march by a bison (Bison bison) after an ungulate-vehicle collision

description: Globally, ungulate-vehicle collisions (UVC) are a major human safety
 concern and may also represent a significant source of mortality for some
 ungulate populations. However, records of UVC based on counts of roadside
 carcasses or reports by drivers involved in these incidents are assuredly
 underestimated because not all ungulates struck die immediately or at the
 roadside or are reported by drivers or authorities. Here, we provide an
 observation and analysis of the movements of a GPS-collared bison (Bison
 bison) that was involved in a UVC on the Alaska Highway and died in thick
 boreal forest 29 days later. During that time she moved 49.7 km from where
 she was hit. Her daily movement rate (km/hr) and daily net displacement
 (km/day) were significantly greater in the 29-day period before she was
 struck compared to 29 days afterward. This vivid example illustrates that
 individuals injured in a UVC can die several weeks later and at a
 considerable distance from where they were initially struck. Moreover,
 when they eventually die it may be where their carcass would not be found
 or associated with a UVC. Bison are the largest land mammal in North
 America and perhaps more robust to some lower-impact UVC than
 smaller-bodied species. Even so, if not for the GPS collar on this bison,
 we would have never known the fate of this individual, and the carcass
 likely never found. Taken together, the movements and final resting place
 of this bison illuminate how estimates of mortality as a result of UVC can
 be underestimated when the animal does not die immediately and in a
 location where it can be found. Given our data, we further urge managers
 to consider roadside counts of animals killed in UVC as a minimum estimate
 when considering options for mitigation.
description: # Dead mammal walking: a month-long march by a bison (<i>Bison
 bison</i>) after an ungulate-vehicle collision
 [https://doi.org/10.5061/dryad.pzgmsbcvg](https://doi.org/10.5061/dryad.pzgmsbcvg) GPS collar data of Bison #009 and 8 control bison from the same population in northeastern British Columbia 29 days before the UVC (before) and 29 days following (after). Coordinate data has been generalized. ## Description of the data and file structure Device ID: individual (bison) Group: Bison #009 - focus individual, Control - control group from same population Period: Before - before Bison #009 collision event, After - after Bison #009 collision event Date & Time [GMT] Latitude (WGS84) Longitude (WGS84) ## Code/Software ``` R version 4.3.2 (2023-10-31 ucrt) -- "Eye Holes" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 (64-bit) packages &lt;- list('plyr','lubridate','ggmap','maptools','rgdal','maps','mapdata', 'sp', 'raster', 'magrittr', 'amt', 'Rmisc', 'ggplot2') ```
DOI: 10.13140/rg.2.2.17042.52168
title: Holonomy derivation (appendix)
DOI: 10.21223/p3/cdcknh
title: Dataset for: Participatory Varietal Selection of 5 frost tolerant clones in the localities of Macullida and San Juan Bajo in La Libertad, Peru.

description: The Mother and Baby (M&B) trial methodology was adapted by CIP for Participatory Variety Selection (PVS) through decentralized evaluation networks and multi-year evaluations in potato growing areas in the Andean region. The M&B trial design encourages active participation of farmers through the application of treatments through systematic evaluations and selections of treatments in their own plots called "Baby trials" (i.e. farmer managed trials) and in fields with an experimental design called "Mother trials" (i.e. researcher managed trials). Objective: Analyze characteristics, attributes and preferences that men and women have when selecting a new potato variety at the phase of flowering and harvesting. A M&B trial was performed to evaluate 5 clones with frost tolerant at the localities of Macullida and San Juan Bajo in Sanchez Carrion province, in La Libertad department, Peru. The trial design was a Randomized Complete Block Design (RCBD) with 3 replicates for Mother trials and 3 replicates during 2013-2014. In this experiment characteristics of plant (size, type of foliage), yield, quality, and pest and disease resistance during flowering and harvesting were evaluated. The number of participants at flowering phase was 11 (men=7 and women=4) and 81 (men=14, women = 67) in the localities of Macullida and San Juan Bajo respectively. The number of participants at harvesting phase was 20 (men=6 and women=14) and 22 (men=12, women =10) in the localities of Macullida and San Juan Bajo respectively. Additionally, an organoleptic evaluation was assessed at harvesting to evaluate appearance, taste and texture. The number of panelists was 13 (men=8, women=5), 10 (men=5, women=5) in the localities of Macullida and San Juan Bajo respectively.
DOI: 10.82294/dvnjfjut8
title: Ejes Medulares. Grafico de radar. Territorio: Todos. Sector: Educación y Cultura. Año: 2025

description: De acuerdo con las tendencias identificadas en el desarrollo de conceptos interdisciplinares de la educación artística y cultural, y cómo se proponen cambios para sofisticar la práctica, estos gráficos presentan la consolidación de las acciones observadas mediante el protocolo de ejes medulares durante el año 2025 en los territorios atendidos. Asimismo, se incluye una sumatoria general que integra todas las observaciones realizadas. También, se puede encontrar los gráficos de radar discriminados por sector Educación y Cultural.
DOI: 10.15468/dl.tmckt9
title: Occurrence Download

description: A dataset containing 1471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polygonum punctatum, Polygonum hydropiperoides, Persicaria)",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1471 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003889-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.ngf1vhj2g
title: Data from: Fish communicate with water flow to enhance a school's social network

description: Code for running schooling experiments and analyzing the data. Here we
 have developed python code for controlling devices during the running of
 experiments and the acquisition of kinematic data from the video
 recordings. In addition, MATLAB code was developed for the analysis of
 schooling kinematics.
description: # Data from: Fish communicate with water flow to enhance a school's
 social network See the README.md file in the
 "running_experiment" archive for details on the acquisition of
 data. The analysis was coded in matlab. The m-file wk_main.m controls the
 workflow and describes the data analysis. All other m-files supplement
 that analysis. ## General notes * Some fields have entries of NaN, which
 means "not a number" and serves as a placeholder when values are
 not available. * Some fields have entries of "n/a", which means
 "not applicable". For example, were performed recordings of
 spatial calibrations that have no fish and thus entered "n/a"
 for fish_num, the number of fish in the recording. ## data holds the
 datasets used in the study. ### Files * compiled_data.csv: provides the
 mean and variance values for a variety of measurements that served as
 dependent variables in our statistical analysis. * experiment_log.csv:
 itemizes parameters required for the kinematic analysis of each
 experiment. The rows where sch_num==999 corresponded to the calibration
 sequences and thus some of the columns are entered as n/a if those
 measurements did not apply. * recording_log: Generated by our python code
 for all video recordings performed. Here too sch_num==999 corresponded to
 the calibration sequences. ### Folders * masks: Contains the images used
 to mask video files, along with data (in .mat and .npy formats) that
 detail the positions of masking pixels. * matlab: holds all kinematic data
 for schooling analysis. Requires MATLAB to load. * mean_images: images
 created by temporal averges of pixel intensity across recordings. Used to
 subtrack background features from video frames. ## data\_acquisition\_code
 Holds all software used for running experiments and acquiring kinematics.
 This consists primarily of Python scripts that are explained in the
 README.md file in this folder. The code for running experiments is
 organized by running scripts from run_acq_kinematics.py and the analysis
 code in organized in run_analysis.py. ## data\_analysis\_code Holds all
 MATLAB code for performing the kinematic analysis. The code is organized
 by running scripts from wk_main.m in MATLAB. The major components of the
 analysis are described in the README.md file in this folder.
DOI: 10.5061/dryad.tb2rbp08f
title: Data from: Prey killing rate of a generalist predator may be enhanced by macronutrient manipulation

description: Generalist arthropod predators forage not only to gain energy and
 nutrients, but also to obtain a balanced intake of macronutrients (the
 intake target). We test two opposite hypotheses concerning the predation
 rate of nutritionally imbalanced predators: It will increase 1) if the
 prey is rich in macronutrients that the predator is short of; or 2) if the
 prey is low in macronutrients that the predator is short of. We used the
 wolf spider Pardosa amentata (Clerck) as the predator and nutritionally
 manipulated Drosophila melanogaster Meigen as prey. We completed a full
 factorial experiment with 8 treatment groups, in which we measured
 predation, consumption, and prey utilization of high-protein (HP) and
 high-lipid (HL) flies by spiders that were previously treated with either
 HP- or HL-flies for 2 or 6 days. The results supported hypothesis 2.
 Whether spiders had been previously fed HP-or HL-flies, those that were
 tested against the same type of fly killed more than those tested against
 the opposite type of fly. A likely explanation for this result is that the
 predator will be unable to reach its macronutritional intake target by
 continued feeding on the same prey; it will stay nutritionally imbalanced
 and continue to catch prey in an attempt to redress its imbalance. In
 natural systems, predation rates may thus be increased by the widespread
 mismatch between predators’ nutritional demands and what is available in
 prey. In practical biological control, this suggests a beneficial effect
 of feeding the predator prior to release with the pest it is intended to
 control.
description: Predation experiments in the laboratory.
description: # Data supporting "Prey killing rate of a generalist predator may be
 enhanced by macronutrient manipulation"
 [https://doi.org/10.5061/dryad.tb2rbp08f](https://doi.org/10.5061/dryad.tb2rbp08f) ## Description of the data and file structure Wolf spiders Pardosa amentata were fed ad libitum for 2 or 6 days with fruit flies Drosophila melanogaster that had high protein content (HP-flies) or high lipid-content (HL-flies). Subsequently, spider predation on and consumption of HP- and HL-flies were measured in a full factorial design. Missing values indicated by "no data", due to death of spiders during the experiment.
DOI: 10.5281/zenodo.18405754
title: KAP SURGICAL ERGONOMICS
DOI: 10.5281/zenodo.18405753
title: KAP SURGICAL ERGONOMICS
DOI: 10.5061/dryad.s7h44j1f2
title: Data from: Flexible females: nutritional state influences biparental cooperation in a burying beetle

description: In species that provide biparental care, there is sexual conflict between
 parents over how much each should contribute towards caring for their
 joint offspring. Theoretical models for the resolution of this conflict
 through behavioral negotiation between parents assume that parents cannot
 assess their partner’s state directly but do so indirectly by monitoring
 their partner's contribution. Here, we test whether parents can
 assess their partner’s state directly by investigating the effect of
 nutritional state on cooperation between parents in the burying beetle
 Nicrophorus vespilloides. We used a two-by-two factorial design, in which
 a well-fed or food-deprived female was paired with a well-fed or
 food-deprived male. We found that females adjusted their level of care in
 response to both their own nutritional state and that of their partner and
 that these decisions were independent of their partner’s contribution. We
 found no evidence that males responded directly to nutritional state.
 Males instead responded indirectly based on the contribution of their
 partner. Our results suggest that parents are able to assess the state of
 their partner, in contrast to what has been assumed, and that these
 assessments play an important role in the mediation of sexual conflict
 between caring parents.
description: # Data from: Flexible females: nutritional state influences biparental
 cooperation in a burying beetle
 This data file consists of
 a comma-separated values spreadsheet (.csv), which provides data on the
 effects of nutritional state on parental cooperation. Each line in the
 spreadsheet represents a pair. * pair_id – individual ID of the pair.
 * f_treatment – female experimental treatment. * m_treatment
 – male experimental treatment. * f_mass_before_treatment – female mass
 before experimental treatment (g). * f_mass_after_treatment – female mass
 after experimental treatment (g). * m_mass_before_treatment – male mass
 before experimental treatment (g). * m_mass_after_treatment – male mass
 after experimental treatment (g). * carcass_mass – mass of the mouse
 carcass provided to the pair for breeding (g). * f_direct – number of
 scans spent providing direct care to the larvae by the female. *
 f_indirect – number of scans spent providing indirect care to the larvae
 by the female. * f_consume – number of scans spent consuming carrion by
 the female. * m_direct – number of scans spent providing direct care to
 the larvae by the male. * m_indirect – number of scans spent providing
 indirect care to the larvae by the male. * m_consume – number of scans
 spent consuming carrion by the male. * f_mass_after_breeding - female mass
 upon larval dispersal from the carcass (g). * m_mass_after_breeding - male
 mass upon larval dispersal from the carcass (g). * number_larvae – number
 of larvae that dispersed from the carcass. * average_larval_mass – the
 average larval mass of the brood upon dispersal from the carcass (g).
DOI: 10.6073/pasta/1e834ac3f0c1d13697449640e8b80d2c
title: The Biomass and Plant Functional Traits of Leymus chinensis Affected by Genotypic Diversity and Soil Nitrogen Addition through a Two-year Experiment, Tianjin, China, 2021-2023

description: In order to investigate the effects of soil nitrogen addition on the genotypic diversity of Leymus chinensis, 12 genotypes of Leymus chinensis were used as plant material and a two-factor experimental design was carried out in this study. Factor one was genotypic diversity of L. chinensis, including three levels: mono-genotype (G1), three genotypes (G3), and six genotypes (G6). Factor two was the soil nitrogen addition level, which included four levels: no nitrogen addition (N0), 2.5 g N/(m²·a) nitrogen application (N2.5), 5 g N/(m²·a) nitrogen application (N5), and 10 g N/(m²·a) nitrogen application (N10). Each treatment had 12 combinations as replicates, and 12 genotypes of L. chinensis were used. The frequency of each genotype was standardized across all treatment levels of genotypic diversity × soil nitrogen addition. The experiment commenced in September 2021 and soil nitrogen was applied every 2 months. Plants were cultivated in the experimental field at Nankai University, but were moved to a greenhouse for overwintering from November to February each year. During the experiment, there were no stresses or disturbances such as shading, drought, or insect feeding; weeds were regularly removed.
DOI: 10.5061/dryad.xksn02vp7
title: Data from: Indirect effects of habitat amount mediated by habitat configuration determine bat diversity at the landscape-scale in Peninsular Malaysia

description: The impacts of fragmentation are often overlooked in landscape studies
 investigating how habitat loss impacts biodiversity, despite the casual
 relationship linking both processes. As habitat loss is the primary cause
 of fragmentation, understanding the inter-related effects of these twin
 processes on biodiversity is key to minimise biodiversity loss. Here we
 assess how habitat amount and configuration influence insectivorous bat
 assemblages, considering both the direct effects of these processes, as
 well as the indirect effects of habitat amount mediated through
 configuration.
description: # Indirect effects of habitat amount mediated by habitat configuration
 determine bat diversity at the landscape-scale in Peninsular Malaysia
 ## "Bat
 response" dataset This data depicts the different measures
 of bat diversity recorded at the different study sites. SITE: location
 where the acoustic recorder was set. Sites starting with CF were located
 on the mainland, and sites starting with Is were islands. RICHNESS:
 sonotype richness recorded at each site ACTIVITY: acoustic activity
 recorded at each site FOREST: acoustic activity of forest foragers
 recorded at each site EDGE: acoustic activity of edge foragers recorded at
 each site OPEN SPACE : acoustic activity of open-space foragers recorded
 at each site ## "Landscape metrics" dataset This data
 depicts the chracteristics of the circular lansdcapes surounding each
 acoustic recorder. Each page of the the file corresponds to the radii of
 the buffer used, ranging between 250m and 1000m. SITE: location where the
 acoustic recorder was set. Sites starting with CF were located on the
 mainland, and sites starting with Is were islands. EDGE_DENSITY: ration
 between the edge length in the landscape and the total landscape area
 NUMBER_OF_PATCHES: number of forest patches in the landscape
 PERCENT_COVER: percentage of forest cover in the landscape DIST_TO_EDGE:
 Euclidian distance between the recorder and the nearest forest edge
DOI: 10.15468/dl.46hvbn
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesoplodon layardii"
 ]
}

 The dataset includes 582 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003890-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18405910
title: Correcting Citation Inflation via Bayesian Knowledge Integration: A Scalable Framework Validated on OpenAlex Data

description: This paper introduces the Bayesian Knowledge Integration Index (BKII), a novel bibliometric metric designed to evaluate the quality and interdisciplinary integration of scientific contributions while correcting for citation inflation and manipulative practices. BKII employs a hierarchical Bayesian model using Negative Binomial likelihood to handle overdispersed citation counts, integrated with Rao-Stirling diversity, entropy-based novelty measures, and NLP-derived functional citation weights. We validate BKII empirically on a representative sample of 10,000 publications from OpenAlex, demonstrating its superior ability to predict prestigious awards such as Nobel Prizes and Fields Medals with an ROC AUC of 0.89, compared to 0.80 for the h-index. Retrospective analyses on 50 Nobel laureates in Physics versus 50 matched non-laureates confirm BKII's enhanced discrimination. Through Monte Carlo simulations, agent-based modeling, sensitivity analyses, and comparisons with established metrics (h-index, g-index, i10-index, h5-index, CNCI, m-index, disruption index, innovation index, EDM, RCR) and MCMC implementations (Stan, PyMC, JAGS), we demonstrate BKII's superior robustness and predictive accuracy under various stress scenarios. The framework provides credible intervals, anomaly detection for citation cartels, and field-normalized scores, offering a reproducible tool for academic evaluations, funding decisions, and policy-making. Code and data processing scripts are available on GitHub for community verification. No external funding was received.