cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.k6ggzg
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydoras adolfoi Burgess, 1982"
 ]
}

 The dataset includes 59 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014430-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/8415066
title: BBC News
DOI: 10.15468/dl.fuve54
title: Occurrence Download

description: A dataset containing 408 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pinus luchuensis Mayr)"
 ]
}

 The dataset includes 408 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014431-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8u7snj
title: Occurrence Download

description: A dataset containing 319 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydoras ehrhardti Steindachner, 1910"
 ]
}

 The dataset includes 319 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014432-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kehdb
title: Occurrence Download

description: A dataset containing 1075 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydoras paleatus (Jenyns, 1842)"
 ]
}

 The dataset includes 1075 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014433-240506114902167/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.24421960
title: Data and Analysis: Individual foraging site fidelity persists within and across stopover seasons in a migratory shorebird, <i>Numenius phaeopus</i> (Whimbrel)

description: This repository contains the data and code necessary to reproduce the analysis and figures in the manuscript "Individual foraging site fidelity persists within and across stopover seasons in a migratory shorebird, <i>Numenius phaeopus </i>(Whimbrel)" by Handmaker et al. (2024).To run the analysis:Download this repository; all code and data is available in this repositoryIf necessary, extract the zipped repository to the desired location on your local machine.Open the `whimbrel_site_fidelity.Rproj` file in [RStudio](https://posit.co/products/open-source/rstudio/) on a computer with internet access; RStudio requires [R](http://www.r-project.org) to be installed. This opens the RStudio project associated with the data, code, and analysis.All of the code necessary to process, analyze, and generate figures is located in the `Scripts` directory. Open and begin by running the code within `00_core_stopover_filter.R`. Proceed sequentially through other similarly-named files. If interested in just one component of the analysis, all necessary data are loaded at the top of each script, so that each script can be run without running all previous files. If interested only in the figures, these are provided as a convenience in the `Figures` directory (and each can be recreated by running the code within `11_make_figures.R`.)<br>
DOI: 10.5281/zenodo.11183279
title: NEW METHODS OF USING MOBILE TECHNOLOGIES IN THE EDUCATIONAL SYSTEM
DOI: 10.5281/zenodo.11183280
title: NEW METHODS OF USING MOBILE TECHNOLOGIES IN THE EDUCATIONAL SYSTEM
DOI: 10.5281/zenodo.10211984
title: RADD Assay Raw Data
DOI: 10.5281/zenodo.10211983
title: RADD Assay Raw Data
DOI: 10.5281/zenodo.11135133
title: RADD Assay Raw Data
DOI: 10.15468/dl.x68rvd
title: Occurrence Download

description: A dataset containing 598 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dionda melanops Girard, 1856"
 ]
}

 The dataset includes 598 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014436-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26181/21894084
title: GRDC National Phenology Initiative field experiment data

description: The GRDC National Phenology Initiative aimed to deliver accurate cultivar- and environment-specific estimations of wheat and barley phenology to grain growers and their advisers. It achieved this by improving and validating the APSIM Next Gen phenology routine and allowing cultivars to be parameterised using controlled environment phenotypic data, genotypic data or a combination of the two. Simulations were validated against field data for a wide range of phenology phenotypes at diverse locations across the Australian wheat belt. Here we provide the complete field validation dataset collected at four sites (WA, VIC, NSW, SA) over two years (2019 and 2020) and eight times of sowing (1 March to 15 June) in 96 cultivars (64 wheat and 32 barley).
DOI: 10.26181/21894084.v1
title: GRDC National Phenology Initiative field experiment data

description: The GRDC National Phenology Initiative aimed to deliver accurate cultivar- and environment-specific estimations of wheat and barley phenology to grain growers and their advisers. It achieved this by improving and validating the APSIM Next Gen phenology routine and allowing cultivars to be parameterised using controlled environment phenotypic data, genotypic data or a combination of the two. Simulations were validated against field data for a wide range of phenology phenotypes at diverse locations across the Australian wheat belt. Here we provide the complete field validation dataset collected at four sites (WA, VIC, NSW, SA) over two years (2019 and 2020) and eight times of sowing (1 March to 15 June) in 96 cultivars (64 wheat and 32 barley).
DOI: 10.5281/zenodo.11183293
title: ОРГАНИЗАЦИЯ ДИДАКТИЧЕСКИХ ИГР НА УРОКЕ РУССКОГО ЯЗЫКА
DOI: 10.5281/zenodo.11183294
title: ОРГАНИЗАЦИЯ ДИДАКТИЧЕСКИХ ИГР НА УРОКЕ РУССКОГО ЯЗЫКА
DOI: 10.4121/708d4311-49b1-4ec2-b3cb-292d267df6be.v2
title: Data/software underlying the publication: Thresholds for the distributed surface code in the presence of memory decoherence

description: In the search for scalable, fault-tolerant quantum computing, distributed quantum computers are promising candidates. These systems can be realized in large-scale quantum networks or condensed onto a single chip with closely situated nodes. We present a framework for numerical simulations of a memory channel using the distributed toric surface code, where each data qubit of the code is part of a separate node, and the error-detection performance depends on the quality of four-qubit Greenberger-Horne-Zeilinger (GHZ) states generated between the nodes. We quantitatively investigate the effect of memory decoherence and evaluate the advantage of GHZ creation protocols tailored to the level of decoherence. We do this by applying our framework for the particular case of color centers in diamond, employing models developed from experimental characterization of nitrogen-vacancy centers. For diamond color centers, coherence times during entanglement generation are orders of magnitude lower than coherence times of idling qubits. These coherence times represent a limiting factor for applications, but previous surface code simulations did not treat them as such. Introducing limiting coherence times as a prominent noise factor makes it imperative to integrate realistic operation times into simulations and incorporate strategies for operation scheduling. Our model predicts error probability thresholds for gate and measurement reduced by at least a factor of three compared to prior work with more idealized noise models. We also find a threshold of 4*10^2 in the ratio between the entanglement generation and the decoherence rates, setting a benchmark for experimental progress.
DOI: 10.5281/zenodo.11183303
title: TA'LIM SAMARADORLIGIGA ERISHISHDA PEDAGOGIK TEXNOLOGIYA VA MODULLI TA'LIM TEXNOLOGIYALARINING QO'LLANILISHI
DOI: 10.5281/zenodo.11183304
title: TA'LIM SAMARADORLIGIGA ERISHISHDA PEDAGOGIK TEXNOLOGIYA VA MODULLI TA'LIM TEXNOLOGIYALARINING QO'LLANILISHI
DOI: 10.17632/kfxc7xv4ym.2
title: Spontaneous reporting of COVID-19 vaccine-related adverse events following immunization (AEFI) in Ghana.

description: A cross-sectional data involving voluntary reporting of COVID-19 vaccine-related adverse events following immunization (AEFI) in the safety database of the Ghana Food and Drugs Authority (FDA). The reports in the database were a collection of AEFIs received through the passive or spontaneous reporting system using various reporting tools; phone calls, paper reporting forms, mobile application (Med Safety App) and online reports. The data was received between 2nd March 2021 and 30th June 2022 from healthcare professionals and vaccine recipients aged 18 years or older who had received at least one dose of any of the five COVID-19 vaccines (AstraZeneca, Sputnik-V, Moderna, Pfizer-BioNTech and Johnson and Johnson) deployed in the nationwide mass vaccination campaign during the pandemic. 
The data obtained included demographic, the existence of a chronic medical condition, type of vaccine and dose received and the type and seriousness of AEFI experienced. Causality assessment reports on all serious AEFIs which occurred over the same period were obtained from the FDA’s Joint COVID-19 Vaccine Safety Review Committee. A total of 8,498 AEFI reports were obtained of which 4,295 were identified by their unique codes as having been spontaneously reported by vaccine recipients and healthcare professionals. The AEFI data were coded with their Preferred Terms using the Medical Dictionary for Regulatory Activities (MedDRA).
DOI: 10.15468/dl.8a3hsq
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nimbochromis venustus (Boulenger, 1908)"
 ]
}

 The dataset includes 70 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014437-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11069437
title: Data from: Unveiling the landscape predictors of resilient vegetation in coastal wetlands to inform conservation in the face of climate extremes

description: Unveiling spatial variation in vegetation resilience to climate extremes can inform effective conservation planning under climate change. Although many conservation efforts are implemented on landscape scales, they often remain blind to landscape variation in vegetation resilience. We explored the distribution of drought-resilient vegetation (i.e., vegetation that could withstand and quickly recover from drought) and its predictors across a heterogeneous coastal landscape under long-term wetland conversion, through a series of high-resolution satellite image interpretations, spatial analyses, and nonlinear modelling. We found that vegetation varied greatly in drought resilience across the coastal wetland landscape and that drought-resilient vegetation could be predicted with distances to coastline and tidal channel. Specifically, drought-resilient vegetation exhibited a nearly bimodal distribution and had a seaward optimum at ~2 km from coastline (corresponding to an inundation frequency of ~30%), a pattern particularly pronounced in areas further away from tidal channels. Furthermore, we found that areas with drought-resilient vegetation were more likely to be eliminated by wetland conversion. Even in protected areas where wetland conversion was slowed, drought-resilient vegetation was increasingly lost to wetland conversion at its landward optimum in combination with rapid plant invasions at its seaward optimum. Our study highlights that the distribution of drought-resilient vegetation can be predicted using landscape features but without incorporating this predictive understanding, conservation efforts may risk failing in the face of climate extremes.

 

This ZIP file contains the following datasets and code for the above paper:

1. data_cheng_et_al_GCB_2024.zip  This file contain a total of three files.

(1)   analys_grid_50_m.shp  This file is a shapefile for the 50-by-50 m grid cells analyzed in the focal study area and their IDs.

(2)   veg_change.shp  This file contains the spatial distribution of vegetation before and after the 2011 drought.           

          Variable list:

                    change: Changes of vegetation after the 2011 drought.

                    vegBefore: Distribution of vegetation before the drought.

                    vegAfter: Distribution of vegetation after the drought.

(3)   tidalchannel.shp  This file contains manually digitized tidal channels (and water surfaces).

2. gridfeatures.xlsx  This file contains data on the landscape features of each analysis grid.

3. analyses.R  This file contains the R code used for data analysis.
DOI: 10.5281/zenodo.11069438
title: Data from: Unveiling the landscape predictors of resilient vegetation in coastal wetlands to inform conservation in the face of climate extremes

description: Unveiling spatial variation in vegetation resilience to climate extremes can inform effective conservation planning under climate change. Although many conservation efforts are implemented on landscape scales, they often remain blind to landscape variation in vegetation resilience. We explored the distribution of drought-resilient vegetation (i.e., vegetation that could withstand and quickly recover from drought) and its predictors across a heterogeneous coastal landscape under long-term wetland conversion, through a series of high-resolution satellite image interpretations, spatial analyses, and nonlinear modelling. We found that vegetation varied greatly in drought resilience across the coastal wetland landscape and that drought-resilient vegetation could be predicted with distances to coastline and tidal channel. Specifically, drought-resilient vegetation exhibited a nearly bimodal distribution and had a seaward optimum at ~2 km from coastline (corresponding to an inundation frequency of ~30%), a pattern particularly pronounced in areas further away from tidal channels. Furthermore, we found that areas with drought-resilient vegetation were more likely to be eliminated by wetland conversion. Even in protected areas where wetland conversion was slowed, drought-resilient vegetation was increasingly lost to wetland conversion at its landward optimum in combination with rapid plant invasions at its seaward optimum. Our study highlights that the distribution of drought-resilient vegetation can be predicted using landscape features but without incorporating this predictive understanding, conservation efforts may risk failing in the face of climate extremes.

 

This ZIP file contains the following datasets and code for the above paper:

1. data_cheng_et_al_GCB_2024.zip  This file contain a total of three files.

(1)   analys_grid_50_m.shp  This file is a shapefile for the 50-by-50 m grid cells analyzed in the focal study area and their IDs.

(2)   veg_change.shp  This file contains the spatial distribution of vegetation before and after the 2011 drought.           

          Variable list:

                    change: Changes of vegetation after the 2011 drought.

                    vegBefore: Distribution of vegetation before the drought.

                    vegAfter: Distribution of vegetation after the drought.

(3)   tidalchannel.shp  This file contains manually digitized tidal channels (and water surfaces).

2. gridfeatures.xlsx  This file contains data on the landscape features of each analysis grid.

3. analyses.R  This file contains the R code used for data analysis.
DOI: 10.5281/zenodo.8252221
title: HAR: Hindustani Alankaar and Raga Dataset

description: Dataset Introduction: The repository contains Hindustani alankaars and ragas sung by two female vocalists in separate zip files. There are a total of 523 audio files, where each vocalist has recorded 259 and 264 files, respectively. The total duration of the dataset is 6.84 hours. The accompanying instruments are tanpura, tabla, metronome, and swar mandala.

Annotations in the dataset: Annotations are provided in csv files. Each csv file has two columns. The first column represents the time stamps (in seconds) with a hop size of 10ms, and the second column represents the corresponding fundamental frequency (in Hz).

Using this dataset: We are interested in knowing if you find our dataset useful! If you use our dataset, please email us at kavyars@iitk.ac.in and tell us about your research. Also, it is highly appreciable to cite the dataset.
DOI: 10.5281/zenodo.8252222
title: HAR: Hindustani Alankaar and Raga Dataset

description: Dataset Introduction: The repository contains Hindustani alankaars and ragas sung by two female vocalists in separate zip files. There are a total of 523 audio files, where each vocalist has recorded 259 and 264 files, respectively. The total duration of the dataset is 6.84 hours. The accompanying instruments are tanpura, tabla, metronome, and swar mandala.

Annotations in the dataset: Annotations are provided in csv files. Each csv file has two columns. The first column represents the time stamps (in seconds) with a hop size of 10ms, and the second column represents the corresponding fundamental frequency (in Hz).

Using this dataset: We are interested in knowing if you find our dataset useful! If you use our dataset, please email us at kavyars@iitk.ac.in and tell us about your research. Also, it is highly appreciable to cite the dataset.
DOI: 10.15468/dl.fn6h2g
title: Occurrence Download

description: A dataset containing 1044 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serrapinnus notomelas (Eigenmann, 1915)"
 ]
}

 The dataset includes 1044 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014438-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p6gcsh42zb.1
title: Cross-Cultural Differences in Retaliation: Evidence from the Soccer Field

description: Code and data replicates all results in Cross-Cultural Differences in Retaliation: Evidence from the Soccer Field.
DOI: 10.5281/zenodo.11183326
title: Catalogs of Deep Long Period Earthquakes at Klyuchevskoy Volcanic Group (Kamchatka) 2011-2012
DOI: 10.5281/zenodo.11183327
title: Catalogs of Deep Long Period Earthquakes at Klyuchevskoy Volcanic Group (Kamchatka) 2011-2012
DOI: 10.15468/dl.7m2w7t
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-112.60999 31.50492,-115.09057 32.14803,-114.93745 30.34119,-111.9975 26.91125,-111.07877 24.55317,-109.63942 23.11381,-105.47449 21.98071,-105.90323 23.29756,-112.60999 31.50492))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eretmochelys imbricata (Linnaeus, 1766)",
 "Year 2015-2019"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014439-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48668/x53ljm/jj1dn5
title: Postorbital.ply

description: 3D model of the postorbital of Koleken.
DOI: 10.48668/x53ljm/mk3fcx
title: fadlad.txt

description: fadlad
DOI: 10.48668/x53ljm/aerppc
title: README.md.txt

description: Read me file describing repository contents.
DOI: 10.48668/x53ljm/uogxt5
title: make_branch_annotations_parsable.sh

description: A shell script that reformats the branch rate annotations in the `.trees` files produced by RevBayes, so that they can be parsed by utilities such as TreeAnnotator or the RevGadgets R package.
DOI: 10.48668/x53ljm/oetjza
title: starting_tree.png

description: A visualization of the tree used to initialize the final tip-dating analysis. The numbers in red denote node and tip ages; the numbers in blue indicate the corresponding branch durations (i.e., branch lengths in units of millions of years).
DOI: 10.48668/x53ljm/rarpsw
title: chardata.nex

description: Full character matrix (47 taxa) nexus file formatted for RevBayes.
DOI: 10.48668/x53ljm/ocfw0d
title: Abelisauridae_tip-dating.Rmd

description: An R Markdown document used to (1) describe and set up the complete analytical pipeline, including the unconstrained nonclock analysis, the fixed-topology nonclock and fixed-clock analyses, the derivation of relaxed clock hyperpriors, the comparison of different relaxed clock models, the final tip-dating analysis, and two sensitivity analyses; (2) process the output of these analyses, including the calculation of node age, branch rate, and posterior probability summary statistics; (3) generate Figures 19-21, as well as Supplementary Figures S4-S10.
DOI: 10.48668/x53ljm
title: A new abelisaurid dinosaur from the end Cretaceous of Patagonia and evolutionary rates among the Ceratosauria

description: Supplementary Data for Cladistics journal description of abelisaurid Koleken.
DOI: 10.48668/x53ljm/mmgapp
title: README.md.txt

description: Read Me file describing Supplementary Data contents.
DOI: 10.15468/dl.fh647f
title: Occurrence Download

description: A dataset containing 2918719 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pinus L.)"
 ]
}

 The dataset includes 2918719 records from 3612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014434-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkkxt4
title: Occurrence Download

description: A dataset containing 789330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 789330 records from 702 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112911-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ec9cp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dahlia spectabilis Saar & P.D.Sørensen"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162023-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1augfx
title: Occurrence Download

description: A dataset containing 6051 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Baiomys taylori (Thomas, 1887)"
 ]
}

 The dataset includes 6051 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003486-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udtbfz
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysallida pirintella"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022454-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.