cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12528378
title: MUSES Leaf Area Index (LAI) 8-Day Global 500m SIN Grid in 2023

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/).

The MUSES LAI product at 500m spatial resolution and 8-day temporal resolution is provided on a Sinusoidal grid and spans from 2000 to 2023 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs)  (Xiao et al., 2014; Xiao et al., 2016). The MUSES LAI product is spatially complete and temporally continuous.

This dataset is the MUSES LAI product in 2023. Please click here to download the MUSES LAI product in 2022.

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2023

Spatial Resolution: 500m

Temporal Resolution: 8 days

Projection: Sinusoidal

Data Format: HDF

Scale: 0.01

Valid Range: 0 – 1000


Citation (Please cite this paper whenever these data are used):



Xiao Zhiqiang, et al. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. IEEE Transactions on Geoscience and Remote Sensing, 52, 209-223.

Xiao Zhiqiang, et al. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. IEEE Transactions on Geoscience and Remote Sensing, 54, 5301-5318.

Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. International Journal of Remote Sensing, 43(4), 1199-1225.

Xiao Zhiqiang, et al. (2017). Evaluation of four long time-series global leaf area index products. Agricultural and Forest Meteorology, 246, 218-230.


If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.15468/dl.azkzhd
title: Occurrence Download

description: A dataset containing 596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-84.35573 6.84791,-76.19917 6.84791,-76.19917 10.10910,-84.35573 10.10910,-84.35573 6.84791))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tayassu pecari (Link, 1795)"
 ]
}

 The dataset includes 596 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004422-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5efpb2
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Unomia stolonifera (Gohar, 1938)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004423-240626123714530/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.26129440
title: OPTHOME merged dataset

description: OPTHOME main merged dataset
DOI: 10.6084/m9.figshare.26129440.v1
title: OPTHOME merged dataset

description: OPTHOME main merged dataset
DOI: 10.15468/dl.f59jjg
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-83.37231 7.03470,-76.77565 7.03470,-76.77565 9.67221,-83.37231 9.67221,-83.37231 7.03470))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cuniculus paca (Linnaeus, 1766)"
 ]
}

 The dataset includes 99 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004424-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.js5vw2
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Peru",
 "TaxonKey is Phoenicoparrus andinus (Philippi, 1854)"
 ]
}

 The dataset includes 415 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004425-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgytst
title: Occurrence Download

description: A dataset containing 1032 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Geneva Herbarium – Boissier's Flora Orientalis (G-BOIS)"
 ]
}

 The dataset includes 1032 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004426-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qg5xbd
title: Occurrence Download

description: A dataset containing 1021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Tremarctos ornatus (F.G.Cuvier, 1825)"
 ]
}

 The dataset includes 1021 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004427-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6075/j0js9qmh
title: Data from: Toward Enhanced Reusability: A Comparative Analysis of Metadata for Machine Learning Objects and Their Characteristics in Generalist and Specialist Repositories

description: This dataset contains data reported in the paper, Labou et al. 2024, which aims to understand how researchers are currently documenting ML research outputs for sharing, and the extent to which repository metadata fields enable reuse of ML objects. Contents of the dataset include: Supplemental Tables referenced in the paper, a snapshot of the code used to query or web scrape data repositories for ML objects, metadata extracts from the repositories, and a snapshot of the code used to analyze the extracts.
description: Code used to access all APIs was developed using Python 3.10.0, with tested compatibility back to Python 3.9.2. This implementation relies heavily on packages such as "requests" for the public APIs, and "selenium" and "beautifulsoup4" for web scraping when necessary. See requirements.txt files in Code for Metadata Extracts and Data Analysis for full details.
DOI: 10.6075/j0z038ch
title: Data from: Beyond Efficiency: An Impact Assessment of the UC Guidelines for Efficient Processing

description: The Guidelines for Efficient Archival Processing in the University of California Libraries established shared principles and recommendations for increased processing efficiency in archives and special collections in the UC system. Since its publication in 2012, the Guidelines has become an influential resource for archival workflows nationwide. In this study, the authors evaluated the Guidelines' impact over time on backlogs, collection management policy, and day-to-day archival practices across the UC libraries by assessing collections, processing practices, and staffing levels. This dataset consists of a survey instrument sent to all 10 major special collections and archives repositories in University of California libraries, the answers collected from the survey, and transcripts from four focus group conversations with UC archivists facilitated by the research team.
description: The original survey instrument was designed and shared with collaborators in Qualtrics. The question set has been exported from Qualtrics and saved as a PDF. The answers to the survey questions were exported from Qualtrics and saved as a .csv file. Most questions were structured where respondents had to select an answer from a list, with some options for free text comments.

The focus group transcripts were initially created using the automated transcription feature embedded in Zoom, and also using Otter.ai. The versions were compared and edited for corrections, readability, and anonymizing identifiable data in Google Docs. Focus group participants were also able to edit the transcripts to redact or clarify any statements. The research team utilized Taguette software to complete an analysis of the content, but only the transcripts are included here (without any markups from Taguette). Redacted transcripts were saved as PDF.
DOI: 10.15468/dl.ysqtmf
title: Occurrence Download

description: A dataset containing 2224 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2224 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004429-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apjr9h
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Thylamys pallidior (Thomas, 1902)"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004430-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyfd9v
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Unomia stolonifera (Gohar, 1938)"
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004431-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akdcq8
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Unomia stolonifera (Gohar, 1938)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004432-240626123714530/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.26089305
title: HiGTS_2017s2

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2017s2 contains the data from April 1, 2017 to June 30, 2017.
DOI: 10.15468/dl.eggu5j
title: Occurrence Download

description: A dataset containing 47196 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sassafras albidum (Nutt.) Nees"
 ]
}

 The dataset includes 47196 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004433-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.su9ytn
title: Occurrence Download

description: A dataset containing 4539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Peru",
 "TaxonKey is Xenodacnis parina Cabanis, 1873"
 ]
}

 The dataset includes 4539 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004434-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8354946
title: Cross Spatio-Temporal Pathology-based Lung Nodule Dataset

description: We introduce a novel cross spatio-temporal lung nodule dataset based on pathological information, which effectively integrates rich multimodal information within the spatio-temporal dimension.
DOI: 10.5281/zenodo.8354947
title: Cross Spatio-Temporal Pathology-based Lung Nodule Dataset

description: We introduce a novel cross spatio-temporal lung nodule dataset based on pathological information, which effectively integrates rich multimodal information within the spatio-temporal dimension.
DOI: 10.34740/kaggle/dsv/8814532
title: WallStreetBets 2022
DOI: 10.5281/zenodo.8357533
title: Cross Spatio-Temporal Pathology-based Lung Nodule Dataset

description: We introduce a novel cross spatio-temporal lung nodule dataset based on pathological information, which effectively integrates rich multimodal information within the spatio-temporal dimension.
DOI: 10.5281/zenodo.8357532
title: Cross Spatio-Temporal Pathology-based Lung Nodule Dataset

description: We introduce a novel cross spatio-temporal lung nodule dataset based on pathological information, which effectively integrates rich multimodal information within the spatio-temporal dimension.
DOI: 10.15468/dl.7zdxhb
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hylobates moloch (Audebert, 1798)"
 ]
}

 The dataset includes 357 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004436-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2z4g4
title: Occurrence Download

description: A dataset containing 482592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 482592 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004435-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/5302228
title: [🍅Rotten Tomatoes]All Time Best Super Hero Movies
DOI: 10.6075/j0ft8jk1
title: Data from: Internal tide structure and temporal variability on the reflective continental slope of southeastern Tasmania

description: All data is presented in *.mat files, generated in Matlab, version 8.5.0.197613 (R2015a).
description: This collection contains in situ data from the Tasman Tidal Dissipation Experiment (T-TIDE) that was analyzed in Marques et al. (2020). These data were obtained from three moorings (M5, T5 and T6) and one shipboard station (S2) taken between January and March in 2015. Mooring data is presented in two levels: raw (gridded) and processed (with higher-level quantities). Station data is given in one file only. Time variables include "time" and "yday". The former is in Matlab's datenum format of the UTC time and the latter is the UTC yearday in 2015. "z" refers to depth (of the observations) and "p" is the pressure. Horizontal velocity is denoted by (u, v), where u (v) is the zonal (meridional) component. The magnetic declination used in the calculation is 15.189 clockwise from the geographic north. For hydrographic data, a number of different variables are used: - t: in situ temperature. - s: practical salinity. - sgth or sgth0: potential density relative to the surface. - SA: absolute salinity. - CT: conservative temperature - N2: buoyancy frequency squared. Higher-level variables include (see also Marques et al. (2020)). - eta: vertical isopycnal displacement. - HKE: horizontal kinetic energy. - APE: available potential energy. - pp: (internal-wave) pressure perturbation. - up (or vp): zonal (or meridional) velocity times pressure perturbation. - FU (or FV): zonal (or meridional) energy flux. Suffixes to variables: - avg: time(wave)-averaging (see Marques et al. (2020)). - cumint: cumulative (depth) integral. Processed dataset include time-filtered data for several different frequencies: - f0: inertial frequency. - D2: semidiurnal frequency (bandpassed data). - D1: diurnal frequency. - M2: lunar semidiurnal frequency (harmonically fitted data). - S2: solar semidiurnal frequency. - M2S2: variables from M2 added to S2. - O1, K1 and O1K1: similar to M2, S2 and M2S2, but for diurnal tidal frequencies.
DOI: 10.6075/j0rx9c9k
title: Data from: Observations of Tidally Driven Turbulence over Steep, Small-scale Topography Embedded in the Tasman Slope

description: Data was processed in Matlab (version 2020b).
description: This collection contains in situ data from the Tasman Tidal Dissipation Experiment (T-TIDE) that was analyzed in Marques et al. (2024). These observations were taken around a small-scale bump embedded on the continental slope of Tasmania to study the internal tide and near-bottom turbulence over deep-ocean topography (water depth of about 2000 m). The in-situ data comprise two moorings (T1 and T2) and shipboard data (FastCTD and NT1). Additional data and model results (in metadata and extradata folders) that are part of the paper are also included.

Mooring data cover heights between 10 and ~600 m above the bottom and includes velocity and temperature data. Velocity was measured by two downward-looking Acoustic Doppler Current Profilers (ADCPs) in each mooring. The frequencies of the two ADCPs were 300 and 75 kHz, where the former has higher vertical resolution and measured velocity in the bottom ~100 m. Temperature was measured at 2 Hz throughout the mooring with ~35 thermistors, where the spacing was 10 m in the bottom 200 m. The moorings also included either 2 (T2) or 3 (T1) Conductivity-Temperature-Depth (CTD) sensors. Mooring data is provided at multiple levels of data processing (level 1, level 2, and level 3). Level 3 includes turbulence estimates from temperature variance. Code for processing the mooring data and additional higher-level processing for the paper is included in the subfolder dataproc.
DOI: 10.25828/cnxx-yg37
title: Master List of Schools 2014
DOI: 10.15468/dl.anakjv
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Peru",
 "TaxonKey is Phrygilus plebejus Tschudi, 1844"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004437-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nq6g49
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Censo nacional del jaguar y sus presas (1a etapa) (Reserva ecológica el edén)"
 ]
}

 The dataset includes 362 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004438-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtrs3d
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Fiji, French Polynesia, Cook Islands, New Caledonia, Samoa, Vanuatu, Palau, Papua New Guinea, Micronesia (Federated States of), Guam, Northern Mariana Islands, Niue, Kiribati, Solomon Islands, Tonga, Wallis and Futuna, Marshall Islands, Nauru)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spathodea campanulata Beauverd"
 ]
}

 The dataset includes 217 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004439-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2eneu
title: Occurrence Download

description: A dataset containing 1288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Continent is North America",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 1288 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004440-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/5302257
title: [🍅Rotten Tomatoes]All Best Picture Winners Ranked
DOI: 10.5281/zenodo.12588886
title: The state of the AMOC revealed from the Subpolar North Atlantic Sea Surface Salinity
DOI: 10.5281/zenodo.12588887
title: The state of the AMOC revealed from the Subpolar North Atlantic Sea Surface Salinity
DOI: 10.15468/dl.e9axpd
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Fiji, French Polynesia, Cook Islands, New Caledonia, Samoa, Vanuatu, Palau, Papua New Guinea, Micronesia (Federated States of), Guam, Northern Mariana Islands, Niue, Kiribati, Solomon Islands, Tonga, Wallis and Futuna, Marshall Islands, Nauru)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spathodea campanulata Beauverd"
 ]
}

 The dataset's 2 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004441-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3djfn
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección Flora Apícola Sur. Museo de Historia Natural de San Rafael (MMHNSR). Mendoza. Argentina."
 ]
}

 The dataset includes 93 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004442-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfeuhp
title: Occurrence Download

description: A dataset containing 1340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Panthera onca (Linnaeus, 1758)",
 "Year 2018-2024"
 ]
}

 The dataset includes 1340 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004443-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.