cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27080479
title: Look-up table for population density categories

description: A look-up table with formatting for population-density categoriesUsed here:https://github.com/michaeldgarber/global-ndvi-pop/blob/main/scripts/figures-main-text.Rhttps://github.com/michaeldgarber/global-ndvi-pop/blob/main/scripts/figures-main-text.R
DOI: 10.15468/dl.4gpkqr
title: Occurrence Download

description: A dataset containing 4261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, USGS Alaska Science Center Polar Bear Maternal Dens, Marine mammal aerial surveys in the Bering, Chukchi and Beaufort Seas 1979-2010, Arctic Species Trend Index (ASTI) : Marine, Observation.org, Nature data from around the World, UAM Mammal Collection (Arctos), NHMD Quaternary Zoology Collection, Canadian Museum of Nature Mammal Collection, Paleobiology Database, MSB Host Collection (Arctos))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ursus maritimus Phipps, 1774"
 ]
}

 The dataset includes 4261 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025525-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13823804
title: Recent ice-contact delta formation in front of Pio XI glacier controls sedimentary processes in Eyre Fjord, Patagonia

description: Data for "Recent ice-contact delta formation in front of Pio XI glacier controls sedimentary processes in Eyre Fjord, Patagonia"
DOI: 10.5281/zenodo.13823805
title: Recent ice-contact delta formation in front of Pio XI glacier controls sedimentary processes in Eyre Fjord, Patagonia

description: Data for "Recent ice-contact delta formation in front of Pio XI glacier controls sedimentary processes in Eyre Fjord, Patagonia"
DOI: 10.15468/dl.bmagfd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Manacus manacus (Linnaeus, 1766)",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2020"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025526-240906103802322/datasets/export for details.
DOI: 10.15468/mfz57k
title: Fish skeletons in the modern Osteological Collections at the University Museum of Bergen

description: This dataset contains a list of all the fish skeletons, partial skeletons, and skulls in the modern Osteological Collections at the University Museum of Bergen in Bergen, Norway, and associated information such as provenance data and measurements (if available). The material has been collected between the late 19th century and now. The main geographical focus of the collection is Norway and Scandinavia, but the collection also contains specimens from other countries.
DOI: 10.15468/dl.zthcxg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Manacus manacus (Linnaeus, 1766)",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025527-240906103802322/datasets/export for details.
DOI: 10.15468/dl.82jgfn
title: Occurrence Download

description: A dataset containing 1119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma altamirani Dugès, 1895"
 ]
}

 The dataset includes 1119 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025528-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edm9nc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Manacus manacus (Linnaeus, 1766)",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025529-240906103802322/datasets/export for details.
DOI: 10.15468/dl.nfxrac
title: Occurrence Download

description: A dataset containing 411489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.87708 54.10847,-2.54583 54.10847,-2.54583 54.24103,-2.87708 54.24103,-2.87708 54.10847))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera",
 "Year 1968-2024"
 ]
}

 The dataset includes 411489 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025524-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pkmfa8
title: Occurrence Download

description: A dataset containing 2664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.68469 24.6624,-107.22771 21.31044,-106.21591 17.89311,-91.72436 11.4649,-84.22286 3.18659,-69.4987 -3.46779,-67.51495 2.30594,-72.97059 9.11663,-71.09522 12.4656,-80.81308 14.62019,-85.92774 21.74161,-93.42925 23.64933,-104.17005 32.20358,-117.97964 33.22626,-114.68469 24.6624))",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 2664 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025530-240906103802322/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.27080488
title: Look-up table for WHO Income group at the country level

description: Used for Table 2 resultshttps://github.com/michaeldgarber/global-ndvi-pop/blob/main/scripts/figures-main-text.R
DOI: 10.15468/dl.eu7cmz
title: Occurrence Download

description: A dataset containing 5424 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abies nordmanniana (Steven) Spach"
 ]
}

 The dataset includes 5424 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025531-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13319940
title: Grain boundaries are Brownian ratchets

description: # Phase-field crystal simulations for paper "Grain Boundaries are Brownian Ratchets"

Openly available Matlab simulation files used to produce the phase-field crystal results from https://www.science.org/doi/10.1126/science.adp1516 see also https://zenodo.org/records/13319941

Runable Matlab files can be found within the respective folders BICRYSTAL, POLYCRYSTAL_MAINTEXT and POLYCRYSTAL_LARGER_ACCELERATION and are named by the corresponding figures.

## UpdateSince the acceptance and publication of our paper, many friends and colleagues have been interested in whether a larger acceleration in grain growth rate through cyclic annealing can be achieved. We updated the dataset by adding a new version with an additional set of cyclic annealing simulations, indicating even more robust evidence of cyclic annealing-accelerating grain growth. The additional code can be found in the folder POLYCRYSTAL_LARGER_ACCELERATION, and the details and discussion can be found in the README file in the same folder.

## Other simulationsThe remaining input files for the MD simulations, neb calculations and python codes for the Markov modellings are not included in this repository and can instead be found under https://doi.org/10.5061/dryad.0k6djhb8v

## DisclaimerThe software is released here under the MIT license. We kindly ask to refer to/cite the related publication https://www.science.org/doi/10.1126/science.adp1516 for any usage and extension. The authors are thankful for any advice considering typos, mistakes, and/or discussions around the code/implementation or the topic of the related publication in general. Please do not hesitate to contact one of the authors, Maik Punke, via: maik.punke@tu-dresden.de
DOI: 10.5281/zenodo.13319941
title: Grain boundaries are Brownian ratchets

description: Phase-field crystal simulations for paper "Grain Boundaries are Brownian Ratchets"

Openly available Matlab simulation files used to produce the phase-field crystal results from https://www.science.org/doi/10.1126/science.adp1516

Files are named by the corresponding figures.

Figure4E_asymm_GB

represents the implementation of grain boundary motion under AC temperature loading for an asymmetric GB (different initial GB positions via parameter position)

Figure4E_symm_GB

represents the implementation of grain boundary motion under AC temperature loading for a symmetric GB (different initial GB positions via parameter position)

Figure4J_poly_constT_high

represents the implementation of the coarsening of a polycrystal under constant high temperature

Figure4J_poly_constT_mean

represents the implementation of the coarsening of a polycrystal under constant mean temperature

Figure4J_poly_constT_low

represents the implementation of the coarsening of a polycrystal under constant low temperature

Figure4J_poly_tLoad

represents the implementation of the coarsening of a polycrystal under AC temperature load

FigureS10A_tri_lattice

represents the implementation of a shrinking half loop with underlying triangular symmetry (switched rotation angles via parameter switched)

FigureS10B_square_lattice

represents the implementation of a shrinking half loop with underlying square symmetry (switched rotation angles via parameter switched)

Other simulations

The remaining input files for the MD simulations, neb calculations and python codes for the Markov modellings are not included in this repository and can instead be found under https://doi.org/10.5061/dryad.0k6djhb8v

Disclaimer

The software is released here under the MIT license. We kindly ask to refer to/cite the related publication https://www.science.org/doi/10.1126/science.adp1516 for any usage and extension. The authors are thankful for any advice considering typos, mistakes, and/or discussions around the code/implementation or the topic of the related publication in general. Please do not hesitate to contact one of the authors, Maik Punke, via: maik.punke@tu-dresden.de
DOI: 10.5281/zenodo.13823912
title: Grain boundaries are Brownian ratchets

description: # Phase-field crystal simulations for paper "Grain Boundaries are Brownian Ratchets"

Openly available Matlab simulation files used to produce the phase-field crystal results from https://www.science.org/doi/10.1126/science.adp1516 see also https://zenodo.org/records/13319941

Runable Matlab files can be found within the respective folders BICRYSTAL, POLYCRYSTAL_MAINTEXT and POLYCRYSTAL_LARGER_ACCELERATION and are named by the corresponding figures.

## UpdateSince the acceptance and publication of our paper, many friends and colleagues have been interested in whether a larger acceleration in grain growth rate through cyclic annealing can be achieved. We updated the dataset by adding a new version with an additional set of cyclic annealing simulations, indicating even more robust evidence of cyclic annealing-accelerating grain growth. The additional code can be found in the folder POLYCRYSTAL_LARGER_ACCELERATION, and the details and discussion can be found in the README file in the same folder.

## Other simulationsThe remaining input files for the MD simulations, neb calculations and python codes for the Markov modellings are not included in this repository and can instead be found under https://doi.org/10.5061/dryad.0k6djhb8v

## DisclaimerThe software is released here under the MIT license. We kindly ask to refer to/cite the related publication https://www.science.org/doi/10.1126/science.adp1516 for any usage and extension. The authors are thankful for any advice considering typos, mistakes, and/or discussions around the code/implementation or the topic of the related publication in general. Please do not hesitate to contact one of the authors, Maik Punke, via: maik.punke@tu-dresden.de
DOI: 10.15468/dl.kagprk
title: Occurrence Download

description: A dataset containing 1119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma altamirani Dugès, 1895"
 ]
}

 The dataset includes 1119 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025532-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2p9fx
title: Occurrence Download

description: A dataset containing 4261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, USGS Alaska Science Center Polar Bear Maternal Dens, Marine mammal aerial surveys in the Bering, Chukchi and Beaufort Seas 1979-2010, Arctic Species Trend Index (ASTI) : Marine, Observation.org, Nature data from around the World, UAM Mammal Collection (Arctos), NHMD Quaternary Zoology Collection, Canadian Museum of Nature Mammal Collection, Paleobiology Database, MSB Host Collection (Arctos))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ursus maritimus Phipps, 1774"
 ]
}

 The dataset includes 4261 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025533-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13823894
title: Chatbots: (S)elected Moderation. Measuring the Moderation of Election-Related Content Across Chatbots, Languages and Electoral Contexts

description: AI Forensics had previously exposed that Microsoft Copilot's answers to simple election-related questions contained factual errors 30% of the time. In collaboration with Nieuwsuur, we uncovered how chatbots can recommend and support the dissemination of disinformation as a campaign strategy. Following those investigations as well as a request for information from the European Commission, Microsoft and Google introduced “moderation layers" to their chatbots so that they refuse to answer election-related prompts.

This dataset was produced during our investigation aimed at evaluating and comparing the effectiveness of these safeguards in different scenarios. In particular, we investigated the consistency with which electoral moderation was triggered, depending the language of the prompt and the electoral context.
DOI: 10.5281/zenodo.13823895
title: Chatbots: (S)elected Moderation. Measuring the Moderation of Election-Related Content Across Chatbots, Languages and Electoral Contexts

description: AI Forensics had previously exposed that Microsoft Copilot's answers to simple election-related questions contained factual errors 30% of the time. In collaboration with Nieuwsuur, we uncovered how chatbots can recommend and support the dissemination of disinformation as a campaign strategy. Following those investigations as well as a request for information from the European Commission, Microsoft and Google introduced “moderation layers" to their chatbots so that they refuse to answer election-related prompts.

This dataset was produced during our investigation aimed at evaluating and comparing the effectiveness of these safeguards in different scenarios. In particular, we investigated the consistency with which electoral moderation was triggered, depending the language of the prompt and the electoral context.
DOI: 10.25835/ncfbsngg
title: Yellow traps reloaded: what is the benefit for decision making in practice?

description: All data are analysed and published 2015 under the title "Yellow traps reloaded: what is the benefit for decision making
in practice?" Journal of Pest Science (2015) 88:439–449. https://doi.org/10.1007/s10340-014-0601-7

Detailed methods of data collection and analyses are desribed in the paper. The files were created by MS Excel 2016.
DOI: 10.5281/zenodo.13776946
title: PhaseSplit-FH3: A dataset of ternary separation per Flory-Huggins theory.

description: This dataset holds 1036 ternary phase diagrams and how points on the diagram phase separate if they do. The data is provided as a serialized object using the `pickle' Python module. The data was compiled using Python version 3.8. 

ReferencesThe specific applications and analyses of the data are described in 1.  Dhamankar, S.; Jiang, S.; Webb, M.A. "Accelerating Multicomponent Phase-Coexistence Calculations with Physics-informed Neural Networks"

UsageTo access the data in the .pickle file, users can execute the following:



# LOAD SIMULATION DATADATA_DIR = "your/custom/dir/"

filename = os.path.join(DATA_DIR, f"data_clean.pickle")with open(filename, "rb") as handle:    (x, y_c, y_r, phase_idx, num_phase, max_phase) = pickle.load(handle)




x: Input x = (χ_AB, χ_BC, χ_AC, v_A, v_B, v_C, φ_A, φ_B) ∈ ℝ^8.

y_c: Output one-hot encoded classification vector y_c ∈ ℝ^3.

y_r: Output equilibrium composition and abundance vector y_r = (φ_A^α, φ_B^α, φ_A^β, φ_B^β, φ_A^γ, φ_B^γ, w^α, w^β, w^γ) ∈ ℝ^9.

phase_idx: A single integer indicating which unique phase system it belongs to.

num_phase: A single integer indicates the number of equilibrium phases the input splits into.

max_phase: A single integer indicates the maximum number of equilibrium phases the system splits into.


Help, Suggestions, Corrections?If you need help, have suggestions, identify issues, or have corrections, please send your comments to Shengli Jiang at sj0161@princeton.edu

GitHubAdditional data and code relevant for this study is additionally accessible at hthttps://github.com/webbtheosim/ml-ternary-phase
DOI: 10.5281/zenodo.13776947
title: PhaseSplit-FH3: A dataset of ternary separation per Flory-Huggins theory.

description: This dataset holds 1036 ternary phase diagrams and how points on the diagram phase separate if they do. The data is provided as a serialized object using the `pickle' Python module. The data was compiled using Python version 3.8. 

ReferencesThe specific applications and analyses of the data are described in 1.  Dhamankar, S.; Jiang, S.; Webb, M.A. "Accelerating Multicomponent Phase-Coexistence Calculations with Physics-informed Neural Networks"

UsageTo access the data in the .pickle file, users can execute the following:



# LOAD SIMULATION DATADATA_DIR = "your/custom/dir/"

filename = os.path.join(DATA_DIR, f"data_clean.pickle")with open(filename, "rb") as handle:    (x, y_c, y_r, phase_idx, num_phase, max_phase) = pickle.load(handle)




x: Input x = (χ_AB, χ_BC, χ_AC, v_A, v_B, v_C, φ_A, φ_B) ∈ ℝ^8.

y_c: Output one-hot encoded classification vector y_c ∈ ℝ^3.

y_r: Output equilibrium composition and abundance vector y_r = (φ_A^α, φ_B^α, φ_A^β, φ_B^β, φ_A^γ, φ_B^γ, w^α, w^β, w^γ) ∈ ℝ^9.

phase_idx: A single integer indicating which unique phase system it belongs to.

num_phase: A single integer indicates the number of equilibrium phases the input splits into.

max_phase: A single integer indicates the maximum number of equilibrium phases the system splits into.


Help, Suggestions, Corrections?If you need help, have suggestions, identify issues, or have corrections, please send your comments to Shengli Jiang at sj0161@princeton.edu

GitHubAdditional data and code relevant for this study is additionally accessible at hthttps://github.com/webbtheosim/ml-ternary-phase
DOI: 10.15468/dl.4x23ub
title: Occurrence Download

description: A dataset containing 9937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "Geometry POLYGON((-77.1515 4.30242,-73.71315 4.30242,-73.71315 7.8475,-76.43171 7.68118,-77.1515 4.30242))",
 "HasGeospatialIssue is false",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 9937 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025534-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c34ngv
title: Occurrence Download

description: A dataset containing 37828 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mosquito Alert Dataset"
 ]
}

 The dataset includes 37828 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025535-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quh78g
title: Occurrence Download

description: A dataset containing 1300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ursus maritimus Phipps, 1774"
 ]
}

 The dataset includes 1300 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025536-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umw2qt
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "TaxonKey is Schwenckia L."
 ]
}

 The dataset includes 109 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025537-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13823600
title: bothrops_asper_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.13823601
title: bothrops_asper_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.13823936
title: Cluster merged fluxgate/search coil data for a solar wind interval occuring on 15/02/2015 21:25:00-22:40:00

description: Cluster merged fluxgate/search coil data for a solar wind interval occuring on 15/02/2015 21:25:00-22:40:00
DOI: 10.5281/zenodo.13823945
title: acanthophora_spicifera_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.13823946
title: acanthophora_spicifera_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.13823953
title: bitis_arietans_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.13823954
title: bitis_arietans_zanfona_1.fasta.gz
DOI: 10.25835/244ugg1s
title: Sticky trap monitoring of a pest–predator system in glasshouse tomato crops

description: All data are analysed and published 2017 under the title "Sticky trap monitoring of a pest–predator system in glasshouse tomato crops: are available trap colours sufficient?" in the Journal of Applied Entomology, 141(5), 339-351.
https://doi.org/10.1111/jen.12338 

Detailed methods of data collection and analyses are desribed in the paper. The files were created by MS Excel 2016.
DOI: 10.5281/zenodo.13823961
title: causus_rhombeatus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.13823962
title: causus_rhombeatus_zanfona_1.fasta.gz