cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.93rxwt
title: Occurrence Download

description: A dataset containing 13702 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Alchornea triplinervia (Spreng.) Müll.Arg., Alchornea triplinervia var. janeirensis (Casar.) Müll.Arg., Alchornea triplinervia var. triplinervia, Alchornea acroneura Pax & K.Hoffm., Alchornea brevistyla Pax & K.Hoffm., Alchornea glandulosa var. parvifolia Benth., Alchornea intermedia Klotzsch ex Benth., Alchornea janeirensis Casar., Alchornea nemoralis Mart., Alchornea nemoralis var. intermedia Baill., Alchornea nemoralis var. janeirensis (Casar.) Baill., Alchornea nemoralis var. lanceolata Baill., Alchornea nemoralis var. major Müll.Arg. ex Pax & K.Hoffm., Alchornea nemoralis var. parvifolia Baill., Alchornea nemoralis var. psilorhachis Baill., Alchornea nemoralis var. rotundifolia Baill., Alchornea obovata Pax & K.Hoffm., Alchornea parvifolia Klotzsch ex Benth., Alchornea psilorhachis Klotzsch ex Benth., Alchornea rotundifolia Moric. ex Baill., Alchornea triplinervia var. boliviana Pax & K.Hoffm., Alchornea triplinervia var. crassifolia Müll.Arg., Alchornea triplinervia var. genuina Müll.Arg., Alchornea triplinervia var. iricuranoides Chodat & Hassl., Alchornea triplinervia var. laevigata Müll.Arg., Alchornea triplinervia var. lanceolata (Baill.) Müll.Arg., Alchornea triplinervia var. nemoralis (Mart.) Pax & K.Hoffm., Alchornea triplinervia var. parvifolia (Miq.) Müll.Arg., Alchornea triplinervia var. tomentella Müll.Arg., Alchornea triplinervia var. trinitatis L.Riley, Antidesma triplinervium Spreng.)"
 ]
}

 The dataset includes 13702 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047665-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcgiul
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peristylus duthiei (Hook.f.) Deva & H.B.Naithani",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006780-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pjzpu
title: Occurrence Download

description: A dataset containing 917 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Northern Barrier Marine Life (OBIS Australia)"
 ]
}

 The dataset includes 917 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006780-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ux7t3c
title: Occurrence Download

description: A dataset containing 1075 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Branchipus schaefferi Fischer, 1834"
 ]
}

 The dataset includes 1075 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056445-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbrc2r
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "TaxonKey is Lactuca L."
 ]
}

 The dataset includes 363 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138557-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9oxth
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Cyclope pellucida Risso, 1827"
 ]
}

 The dataset includes 263 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006780-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxc5m6
title: Occurrence Download

description: A dataset listing the 3547 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.72989 32.61164,-5.72989 32.61164,-8.02693 31.77148,-9.15769 30.86093,-9.64264 30.03449,-7.3456 30.77322,-5.57416 31.87073,-4.2699 32.43109,-4.71763 33.21628,-5.72989 32.61164))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 3547 records were derived from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032007-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kg5gru
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylloscartes roquettei E.Snethlage, 1928"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006780-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7jgnr
title: Occurrence Download

description: A dataset containing 8958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Stilbaceae"
 ]
}

 The dataset includes 8958 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047650-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdzx7f
title: Occurrence Download

description: A dataset containing 97614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrao urogallus Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 97614 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016358-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nigtrs
title: Occurrence Download

description: A dataset containing 2095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Chenopodium botrys L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2095 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006780-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwznvg
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plasmodium relictum (Grassi & Feletti, 1891)"
 ]
}

 The dataset's 2 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049005-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyup4f
title: Occurrence Download

description: A dataset containing 299 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Montivipera xanthina (Gray, 1849)"
 ]
}

 The dataset includes 299 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004986-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66x866
title: Occurrence Download

description: A dataset containing 3403551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((148.5 -57,147.5 -35,124.8 -26,117.1 -27,130.6 -17,130.6 -17,144.5 -22,146 -7,100.5 27,80 20.5,59.1 33.2,38.5 33.5,26.4 28.8,44.3 6,34.7 0,28.5 -23,15.2 -32,15 -58,148.5 -57))",
 "Depth is greater than or equal to 0m",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Animalia",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 3403551 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004982-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z8ysz4zghv
title: Mathematical Memes case study comment pool

description: Data: pseudonymised full data of the two cases analysed in "Math in the time of social media: a conceptualization of the Internet phenomenon of mathematical memes" Authors: Giulia Bini1, Ornella Robutti1, Angelika Bikner-Ahsbahs2 Affiliations: 1University of Turin, Italy, 2Universität Bremen, Germany Ambit: mathematics education Research: ethnographic research on the Internet phenomenon of the mathematical memes from an educational point of view. Period: February 2018 - current
DOI: 10.17632/vvfbrkjbth
title: Leadership in Diverse Workforces: Case Studies Demonstrating Best Practices of Effective and Creative Leadership

description: Exploration of best practices to support innovation and creativity in organizations.
DOI: 10.17632/bmz65g4ytf
title: Data for: Compilation of an Input-Output Table and Social Accounting Matrix for India: 2012-13

description: Macroeconomic databases for India: 140-sector Input-Output Table and 117-sector Social Accounting Matrix with base year 2012-13.
DOI: 10.15468/dl.r4hyrm
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepiota helveola Bres."
 ]
}

 The dataset includes 216 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004988-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zy4gtcrz32
title: Data for: The Effect of Health Insurance on Hospitalization Identification of Adverse Selection, Moral Hazard and the Vulnerable Population in the Indian Healthcare Market

description: Stata dataset and data codes (STATA and R formats) for the paper titled: The Effect of Health Insurance on Hospitalization: Identification of Adverse Selection, Moral Hazard and the Vulnerable Population in the Indian Healthcare Market.
DOI: 10.15468/dl.egf3yx
title: Occurrence Download

description: A dataset containing 8527 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - United States (Contiguous) (ver.2.0, 2022)"
 ]
}

 The dataset includes 8527 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004989-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rf592
title: Occurrence Download

description: A dataset containing 2592 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orchis anatolica Boiss."
 ]
}

 The dataset includes 2592 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004990-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f7sxbt472j
title: Scopus SDG queries

description: Scopus SDG queries
DOI: 10.15468/dl.vwd7ex
title: Occurrence Download

description: A dataset containing 22361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Vascular Plant Herbarium, UiB",
 "Country is Sweden"
 ]
}

 The dataset includes 22361 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004991-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sjypjrcrh4
title: Transfer length data of pretensioned concrete generated by Generative Adversarial Network

description: 10,000 fake data were generated using GAN based on the probability distribution of the real transfer length test data. The discriminator and generator networks consist of a total of 10 layers, and each layer is made up of 100 nodes. As with the ANN model, batch normalization and a 20% dropout rate were applied to each layer, and the PReLU activation function was used in the layers other than the output layer. In order to shorten the training time, Adam was used as an optimization algorithm (or optimizer), and the learning rates of the discriminator and generator were set to 0.01 and 0.0033%, respectively, to perform the training process up to 39,000 epochs. The result showed that the distributions and correlations of the fake data are similar to that of the real data
DOI: 10.4121/5c4ad375-4e88-402b-ac46-d27bb47250c3
title: Data and codes underlying the publication: "CLEAR: a new discrete multiplicative random cascade model for disaggregating path-integrated rainfall estimates from commercial microwave links"

description: <strong>Description:</strong> This dataset contains all essential data and codes underlying the publication "CLEAR: a new discrete multiplicative random cascade model for disaggregating path-integrated rainfall estimates from commercial microwave links". Please see the README for more in-depth information about the content of each dataset and script.<br><strong>Datasets:</strong><br><strong>cml_metadata.csv:</strong> contains information about the frequency, polarization, and coordinates of CMLs.<br><strong>rainfall_field_rain_rates.zip:</strong> contains high-resolution simulated rainfall fields (210 events).<br><strong>rainfall_field_coordinates.csv: </strong>contains the coordinates of each grid cell in the simulated rainfall fields.<br><strong>virtual_rain_rates_along_CMLs.Rdata:</strong> contains the distributed and path-averaged rain rates along the CML paths.<br><strong>clearEnsemble.Rdata:</strong> contains 50 realizations of the CLEAR algorithm as well as the GMZ benchmark.<br><strong>w_table_all_events.Rdata: </strong>contains the empirical cascade weights needed to fit the standard deviation model of the cascade generator.<br><strong>Codes:</strong><br><strong>fun_CLEAR.R:</strong> Functions and helper functions for the CLEAR algorithm.<br><strong>fun_CML.R: </strong>Functions for processing CML data, also available at GitHub (https://github.com/fenclmar/Rcmlrain/tree/master)<br><strong>01_sample_estimation_empirical_weights.Rmd</strong>: R script for calculating empirical cascade weights.<br><strong>02_sample_estimation_fitting_SDmodel.Rmd</strong>: R script for fitting the cascade generator model.<br><strong>03_extract_virtual_rainfall_from_CMLs.Rmd:</strong> R script for extracting distributed and path-averaged rain rates from virtual rainfall fields.<br><strong>04_CLEAR_disaggregation.Rmd:</strong> R script for disaggregating and resampling path-averaged CML rain rates using the CLEAR and GMZ algorithms.
DOI: 10.17632/svnkmbzrjb
title: HeliCas FISH: targeted chromatin melting for genomic imaging

description: Detailed description of this data can be accessed in Wang et al. HeliCas FISH: targeted chromatin melting for genomic imaging.
DOI: 10.17632/6gvsj22fzy
title: Influenza vaccination meta-analysis: run 1

description: Results of the statistical analysis with parameters set 1
DOI: 10.17632/kpsyctd4tm
title: Data for COVID-19 and ETF Returns

description: The data provided herein contains the secondary data used to estimate the GARCH models employed to determine the impact of COVID-19 on exchange traded fund returns in South Africa.
DOI: 10.17632/ttkhhs46y9
title: Toolkit for Solar irrigation: Energy sources scoring and ranking

description: International organizations started to examine the sustainability of solar irrigation. However, researchers, ‎engineers, consultants, decision-makers must explore further updated & innovative tools and methods. ‎They should include multiple scales and dimensions, relevant criteria, and indicators. Solar irrigation is, ‎moreover, an embodiment of the Nexus Food-Energy-Water.‎ The toolkit provided in this repository aims to address this particular need.‎
DOI: 10.5281/zenodo.12648782
title: Training data for ARPESNet

description: Datasets used for training the ARPESNet autoencoder.

Datasets:

The training and test data are stored in the .zip files. Unzipping these will provide the files created by saving PyTorch tensors. These can be loaded with the python code:

import torch

data = torch.load("filename.pt")

 where filename can be any of the files in this repository.

train_data.zip & test_data.zip: training and testing data, respectively. Collection of 256x256 ARPES spectra (images) obtained by randomly slicing 3D of 28 (train) and 18 (test) high resolution angle scans, covering 19 material systems: Au(110), Au(111), Bi2Se3(111), CoO2, on Au(111), CrSBr(001), Graphene on Ir(111), Graphene on Ru(0001), single-layer MoS2 on Au(111), single-layer NbSe2 on bilayer graphene, NdTe3(010), Pd(100), Pd(111), Pt(111), Rb-doped Bi2Se3(111), Ru(0001), P-δ-layer on Si(001), single-layer TaS2 on Au(111), single-layer WS2 on Ag(111) and single-layer WS2on Au(111).

Each file corresponds to one material system, for which 500 images were generated, resulting in a tensor of shape 500x256x256 each.

test_imgs.pt: 6 ARPES spectra used for visual inspection and performance test of the ARPESNet autoencoder.

cluster_centers.pt: ARPES spectra extracted by slicing an angle scan obtained measuring a Bi2Se3 crystal. These are used to generate simulated nanoARPES maps for testing clustering performance.

dataset_info.csv: tabluar data describing the single datasets, their use in test or training and appropriate citation to the source publication wherre the data was first published.

This repository contains the data related to the publication

Steinn Ýmir Ágústsson, Mohammad Ahsanul Haque, Thi Tam Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann; An autoencoder for compressing angle-resolved photoemission spectroscopy data. Mach. Learn.: Sci. Technol. 6 015019 (2025) DOI: 10.1088/2632-2153/ada8f2

Please cite the paper above in case of re-use of these data in a scientific publication.
DOI: 10.5281/zenodo.12648783
title: Training data for ARPESNet

description: Datasets used for training the ARPESNet autoencoder.

Datasets:

The training and test data are stored in the .zip files. Unzipping these will provide the files created by saving PyTorch tensors. These can be loaded with the python code:

import torch

data = torch.load("filename.pt")

 where filename can be any of the files in this repository.

train_data.zip & test_data.zip: training and testing data, respectively. Collection of 256x256 ARPES spectra (images) obtained by randomly slicing 3D of 28 (train) and 18 (test) high resolution angle scans, covering 19 material systems: Au(110), Au(111), Bi2Se3(111), CoO2, on Au(111), CrSBr(001), Graphene on Ir(111), Graphene on Ru(0001), single-layer MoS2 on Au(111), single-layer NbSe2 on bilayer graphene, NdTe3(010), Pd(100), Pd(111), Pt(111), Rb-doped Bi2Se3(111), Ru(0001), P-δ-layer on Si(001), single-layer TaS2 on Au(111), single-layer WS2 on Ag(111) and single-layer WS2on Au(111).

Each file corresponds to one material system, for which 500 images were generated, resulting in a tensor of shape 500x256x256 each.

test_imgs.pt: 6 ARPES spectra used for visual inspection and performance test of the ARPESNet autoencoder.

cluster_centers.pt: ARPES spectra extracted by slicing an angle scan obtained measuring a Bi2Se3 crystal. These are used to generate simulated nanoARPES maps for testing clustering performance.

dataset_info.csv: tabluar data describing the single datasets, their use in test or training and appropriate citation to the source publication wherre the data was first published.

This repository contains the data related to the publication

Steinn Ýmir Ágústsson, Mohammad Ahsanul Haque, Thi Tam Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann; An autoencoder for compressing angle-resolved photoemission spectroscopy data. Mach. Learn.: Sci. Technol. 6 015019 (2025) DOI: 10.1088/2632-2153/ada8f2

Please cite the paper above in case of re-use of these data in a scientific publication.
DOI: 10.5281/zenodo.12665274
title: 3D ARPES angle scan collection

description: This repository contains a number of 3D Angle Resolved Photoemission Spectroscopy (ARPES) datasets. Each datasets represents the photoemission intensity (normalized) as function of energy and two crystal momoentum components, I(E,k_x,k_y).

These were all obtained performing "angle-scans", i.e. measuring a series of 2D spectra I(E,theta) and varying the other emission angle (phi). These angle coordinates were then warped into the crystal momentum components, centered at the Gamma point.

These datasets cover 19 material systems:  Au(110), Au(111), Bi2Se3(111), CoO2, on Au(111), CrSBr(001), Graphene on Ir(111), Graphene on Ru(0001), single-layer MoS2 on Au(111), single-layer NbSe2 on bilayer graphene, NdTe3(010), Pd(100), Pd(111), Pt(111), Rb-doped Bi2Se3(111), Ru(0001), P-δ-layer on Si(001), single-layer TaS2 on Au(111), single-layer WS2 on Ag(111) and single-layer WS2on Au(111).

Instructions on how to load and visualize the data are presented in the Jupyter Notebook file load_dataset.ipynb, with helper functions contained in utils.py.

The data here provided was used to produce the images used for training ARPESNet, an autoencoder Neural Network designed to efficiently compress ARPES spectra. The training dataset can be found here: 10.5281/zenodo.12648783

Deatails of the autoencoder and its applications can be found in this publication:

Steinn Ýmir Ágústsson, Mohammad Ahsanul Haque, Thi Tam Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann; An autoencoder for compressing angle-resolved photoemission spectroscopy data. Mach. Learn.: Sci. Technol. 6 015019 (2025) DOI: 10.1088/2632-2153/ada8f2

Please cite the paper above in case of re-use of these data in a scientific publication.