cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14989200
title: Flona do Jamari Tree Species: Occurrence, Vegetation Types, and Threat Status (IUCN/MMA)

description: Occurrence in the Brazilian states, vegetation type, and threat status of 124 tree species identified with binomial name at one hectare of open ombrophylous forest of Flona do Jamari, Itapuã do Oeste, Rondônia. Occurence, Vegetation type, Threat Status (TS IUCN) and presence in the Rondônia state (RO) were retrieved from the Brazilian Flora Checklist (Flora do Brasil 2020). The Threat Status by Ministério do Meio Ambiente - MMA were available in 2022 (TS MMA/2022). The field Assessed in ter Steege et al. (2015) indicate whether the species had its threat status predicted for 2050 using the estimated population losses under the business as usual deforestation scenario (BAU; Soares-Filho et al. (2013)). Abbreviations of 1) Brazilian States: Acre: AC; Alagoas: AL; Amapá: AP; Amazonas: AM; Bahia: BA; Ceará: CE; Distrito Federal: DF; Espírito Santo: ES; Goiás: GO; Maranhão: MA; Mato Grosso: MT; Mato Grosso do Sul: MS; Minas Gerais: MG; Pará: PA; Paraíba: PB; Paraná: PR; Pernambuco: PE; Piauí: PI; Rio de Janeiro: RJ; Rio Grande do Norte: RN; Rio Grande do Sul: RS; Rondônia: RO; Roraima: RR, Santa Catarina: SC, São Paulo: SP; Sergipe: SE; Tocantins: TO. 2) Vegetation types as presented in Flora do Brasil 2020: Área Antrópica: AA; Caatinga (strictu sensu): Ca; Campinarana: C; Campo de Altitude: Calt; Carrasco: Car; Cerrado (lato sensu): Ce; Floresta Ciliar ou Galeria: FC; Floresta de Igapó: FI; Floresta de Terra-firme: TFT; Floresta de Várzea: (FV); Floresta Estacional Decicual: FED; Floresta estacional Perenifolia: FEP; Floresta Estacional Semidecicual: FES; Floresta Ombrófila (=Floresta Pluvial): FO; Manguezal: M; Restinga: R; Savana Amazônica: SA.
DOI: 10.5517/ccdc.csd.cc2kdd2g
title: CCDC 2365395: Experimental Crystal Structure Determination

description: Related Article: Xue-Ning Hu, Xu-Hang Zhong, Rui-Ru Zhong, Lin-Mei Zhang, De-Bo Hao, Qian Xu, Hui-Zhi Wei, Rui Zhou, Jianyu Wei, Kuan-Guan Liu, Shang-Fu Yuan, Dong-Sheng Li, Tao Wu|2025|Nanoscale|17|5829|doi:10.1039/D4NR04371E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.666343
title: Occurrence Download

description: A dataset containing 30435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Barleria L."
 ]
}

 The dataset includes 30435 records from 409 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008063-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2p2vge
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Trichosalpinx intricata (Lindl.) Luer"
 ]
}

 The dataset includes 91 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007977-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zz2q35
title: Occurrence Download

description: A dataset listing the 51 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aelurillus Simon, 1884"
 ]
}

 The dataset's 51 records were derived from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007974-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14267059
title: Dataset for Insights from Virtual Chemistry: shear and bulk viscosity of organic liquids via molecular simulations

description: Dataset for "Insights from Virtual Chemistry: shear and bulk viscosity of organic liquids via molecular simulations"

J. Chem. Phys. 162, 094502 (2025)

DOI: 10.1063/5.0251585

This dataset includes:



Tables (in CSV format) containing the shear and bulk viscosity values, calculated from molecular dynamics simulations via the Green–Kubo relations, for over 140 molecular liquids from the Virtual Chemistry database (https://virtualchemistry.org/) using the OPLS and GAFF force fields.

Plots of the Green–Kubo integral for all systems.

Raw data of the autocorrelation functions used to compute bulk and shear viscosity.

References in BibTeX format (used in the tables).
DOI: 10.15468/dl.7g6ufk
title: Occurrence Download

description: A dataset containing 3100 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fish collection (TSZP) The Arctic University Museum of Norway"
 ]
}

 The dataset includes 3100 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007978-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25829/1dtn-9c76
title: Data used in manuscript: Root functional strategies as mediators of bottom-up effects of plants on soil fungal guild composition
DOI: 10.48436/5xwsn-7qb10
title: Pielach River research dataset October 2024 - Mapping shallow inland running waters with UAV-borne photo and laser bathymetry

description: About the dataset:

The data provided in this repository contains laser scans, a water surface model, images, and reference points acquired on Oct, 24-25, 2024 at the Pielach River (Lower Austria). The data consists of UAV-borne topographic and topo-bathymetric 3D LiDAR point clouds, control and check points captured via terrestrial survey with a  total  station and RTK-GNSS, and UAV-images. The laser point clouds are fully processed for a subset of the entire dataset and provided in standard LAZ file format. In addition, the full LiDAR point clouds of the individual flight strips are provided in as raw point clouds (geo-references, unclassified, no refraction correction for underwater points).   Furthermore, the dataset contains UAV nadir and oblique images stored in JPG format.

Context and methodology



Research domain: Environmental sciences, Hydrography, Terrain Mapping

The data set is intended as a benchmark for optical hydrography based on images and laser scans.

Ground truth data is available in form of terrestrially measured reference points on land and under water.

The data was collected between October 24-25, 2025 at the Pielach River near Loosdorf, Austria.

All images and laser scans were acquired with Uncrewed Aerial Vehicles (UAV) as carrier platforms.


Technical details



The laser scan data are stored LAS/LAZ format as geo-referenced 3D point clouds. Both post-processed and original strip data are available.

The image data are stored in JPG format and contain (i) nadir and oblique images, (ii) stereo image sequences, (iii) synchronized stereo oblique images. 

The water surface of the Pielach river is provided in GeoTIFF format.

Reference data are stored as 3D points in ASCII (cvs) format. Reference points are available both on land and under water.

The data are provided in 11 subfolders: laser scans (4), water surface model (1), reference points (3), images (3). Each folder contains a separate readme.txt file with further information of the folder's content

The following software was used for processing the data:



RIEGL RiPROCESS (manufacturer's software, laser data pre-processing) 

OPALS (Orientation and Processing of Airborne Laser Scanning data) developed at TU Wien

CloudCompare (visualization/editing of 3D point clouds)

Pix4Dsurvey (point cloud labelling)

Agisoft Metashape, Pix4D Mapper, ESRI/nFrames SURE (image data processing)

Nerfstudio 

proprietary research software developed in MATLAB and, Python




Corresponding article:

Details concerning the study area the sensors used and the data processing can be found in:

Mandlburger et al., 2025: Mapping shallow inland running waters with UAV-borne photo and laser bathymetry - The Pielach River showcase. Journal of Applied Hydrography, 130(06) 42-55, DOI: 10.23784/HN130-06.
DOI: 10.48436/taz19-r6618
title: Pielach River research dataset October 2024 - Mapping shallow inland running waters with UAV-borne photo and laser bathymetry

description: About the dataset:

The data provided in this repository contains laser scans, a water surface model, images, and reference points acquired on Oct, 24-25, 2024 at the Pielach River (Lower Austria). The data consists of UAV-borne topographic and topo-bathymetric 3D LiDAR point clouds, control and check points captured via terrestrial survey with a  total  station and RTK-GNSS, and UAV-images. The laser point clouds are fully processed for a subset of the entire dataset and provided in standard LAZ file format. In addition, the full LiDAR point clouds of the individual flight strips are provided in as raw point clouds (geo-references, unclassified, no refraction correction for underwater points).   Furthermore, the dataset contains UAV nadir and oblique images stored in JPG format.

Context and methodology



Research domain: Environmental sciences, Hydrography, Terrain Mapping

The data set is intended as a benchmark for optical hydrography based on images and laser scans.

Ground truth data is available in form of terrestrially measured reference points on land and under water.

The data was collected between October 24-25, 2025 at the Pielach River near Loosdorf, Austria.

All images and laser scans were acquired with Uncrewed Aerial Vehicles (UAV) as carrier platforms.


Technical details



The laser scan data are stored LAS/LAZ format as geo-referenced 3D point clouds. Both post-processed and original strip data are available.

The image data are stored in JPG format and contain (i) nadir and oblique images, (ii) stereo image sequences, (iii) synchronized stereo oblique images. 

The water surface of the Pielach river is provided in GeoTIFF format.

Reference data are stored as 3D points in ASCII (cvs) format. Reference points are available both on land and under water.

The data are provided in 11 subfolders: laser scans (4), water surface model (1), reference points (3), images (3). Each folder contains a separate readme.txt file with further information of the folder's content

The following software was used for processing the data:



RIEGL RiPROCESS (manufacturer's software, laser data pre-processing) 

OPALS (Orientation and Processing of Airborne Laser Scanning data) developed at TU Wien

CloudCompare (visualization/editing of 3D point clouds)

Pix4Dsurvey (point cloud labelling)

Agisoft Metashape, Pix4D Mapper, ESRI/nFrames SURE (image data processing)

Nerfstudio 

proprietary research software developed in MATLAB and, Python




Corresponding article:

Details concerning the study area the sensors used and the data processing can be found in:

Mandlburger et al., 2025: Mapping shallow inland running waters with UAV-borne photo and laser bathymetry - The Pielach River showcase. Journal of Applied Hydrography, 130(06) 42-55, DOI: 10.23784/HN130-06.
DOI: 10.6084/m9.figshare.28554767
title: Heatwave budget and Surface Parameters Data

description: %%------------Script for integrated heat budget Plot------------------%%<br>This is the script for generating Figure 1 of the manuscript.The pre-processed data is stored in the mat files. Where the pixel-wise segregation is done for all moist and dry events.Integration of the heat budget is done in the pre-processing steps For example, "auc_moist_low_night.mat" contains composite of adiabatic, diabatic, advection and lhs for daytime and nighttimeFurthermore, this script will generate the time series and the bar plots<br><br><br>%%------------Script to plot time series of surface variables---------%%<br>This is the script is for generating Figure 2 of the manuscriptThe pre-processed data is stored in the mat files. Where the pixel-wise segregation is done for all moist events and dry events.The composite of all the surface variables is done in the pre-processing steps.This script will generate all the time series of all the surface variables<br>
DOI: 10.15468/dl.p8juc8
title: Occurrence Download

description: A dataset containing 1016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Tunicates collection (TSZT) The Arctic University Museum of Norway",
 "PublishingOrg is 689b40c4-ff31-4cd0-83a5-a7a828f1cd92"
 ]
}

 The dataset includes 1016 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008065-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7rgjf
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Sex, age and numbers of polar bear skulls (Ursus maritimus) collected in Svalbard"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008066-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25829/ckpg-ja61
title: Data and R code used in: The positive plant diversity-consumer relationship is independent of grassland age

description: Plant diversity is an important driver of many ecosystem processes within and among trophic levels. There is growing evidence that the strength of plant diversity effects depends on the biotic and abiotic environmental conditions. Plant and soil history may be underlying mechanisms of an observed strengthening of biodiversity effects in aging biodiversity experiments. Temporal changes in biodiversity-ecosystem functioning (BEF) relationships have been observed primarily for plants, while dynamics of higher trophic levels are little studied. However, similar patterns can be expected for higher trophic levels because of the close links between producers and consumers. Here, we aim to compare the effects of plant diversity on consumer communities (richness, abundance, diversity, and community composition) and consumer-mediated functions (herbivory and predation) in plant communities with different plant and soil histories across six study years. This dataset contains data and R code for this study.
DOI: 10.15468/dl.cxa449
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crataegus berberifolia var. engelmannii (Sarg.) Eggl."
 ]
}

 The dataset includes 495 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008067-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25829/bjg8-g685
title: Ecosystem multifunctionality from dBEF Experiment (2017-2021)

description: We calculated ecosystem multifunctionality (EMF) based on functions related to plants and higher trophic groups to test the effects of plant diversity (1-60 species) and shared history of plants and soil on EMF over a five-year period (2017-2021). EMF was calculated for each ΔBEF subplot (old, new, re-sown) and each year (2017-2021) using the averaging approach as well as the multiple threshold approach (10%, 20%, ..., 90%). We used plant-related functions, e.g., plant biomass production, plant invasion resistance, community height, leaf area index, as well as functions provided by higher trophic groups, i.e., soil microbial activity as well as aboveground herbivory and predation.
DOI: 10.5281/zenodo.14987939
title: Geochemical analyses of marine tephra layers collected offshore Ecuador during the DSDP Leg 69 and ODP Legs 111 and 202

description: Marine sediment cores collected during the DSDP and ODP oceanographic campaigns 69, 111, and 202 reveal numerous ash deposits, which are related to major volcanic eruptions that occurred in Southern America and the Galápagos archipelago during the last 10 Myr. We provide geochemical analyses (major and trace elements, Sr-Pb isotopy) of these ash layers to characterize the composition of magmas and identify the associated volcanic vent.

Files:



Location of drilling sites and sampled tephra layers

Raw Electron Microprobe results (single glass shards)

Raw LA-ICP-MS results (single glass shards)

Raw ICP-AES results (bulk glass shards)

Raw MC-ICP-MS results (bulk glass shards)
DOI: 10.5281/zenodo.14987940
title: Geochemical analyses of marine tephra layers collected offshore Ecuador during the DSDP Leg 69 and ODP Legs 111 and 202

description: Marine sediment cores collected during the DSDP and ODP oceanographic campaigns 69, 111, and 202 reveal numerous ash deposits, which are related to major volcanic eruptions that occurred in Southern America and the Galápagos archipelago during the last 10 Myr. We provide geochemical analyses (major and trace elements, Sr-Pb isotopy) of these ash layers to characterize the composition of magmas and identify the associated volcanic vent.

Files:



Location of drilling sites and sampled tephra layers

Raw Electron Microprobe results (single glass shards)

Raw LA-ICP-MS results (single glass shards)

Raw ICP-AES results (bulk glass shards)

Raw MC-ICP-MS results (bulk glass shards)
DOI: 10.15468/dl.kc9cmz
title: Occurrence Download

description: A dataset containing 1688 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Stratified sampling of Azorean forest arthropods"
 ]
}

 The dataset includes 1688 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007980-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amaxpn
title: Occurrence Download

description: A dataset containing 3965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Camellia oleifera Abel."
 ]
}

 The dataset includes 3965 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007981-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14989653
title: vicia_tenuifolia_spades_01.fasta.gz
DOI: 10.5281/zenodo.14989654
title: vicia_tenuifolia_spades_01.fasta.gz
DOI: 10.5281/zenodo.14975065
title: Codes and numerical experiments for the preprint entitled 'On the proper use of temperature screen-level measurements in weather forecasting models over mountains'

description: The detail of codes and numerical simulation data are available in 'readme_article.txt'.
DOI: 10.15468/dl.9j6tyy
title: Occurrence Download

description: A dataset listing the 54 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Tunicates collection (TSZT) The Arctic University Museum of Norway",
 "PublishingOrg is 689b40c4-ff31-4cd0-83a5-a7a828f1cd92"
 ]
}

 The dataset's 54 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008068-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkcb59
title: Occurrence Download

description: A dataset containing 85713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ficus carica L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 85713 records from 881 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008064-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17423280
title: Life Cycle Assessment of Unstabilized, Fiber-Reinforced, and Geopolymerized Sediment-Based Compressed Earth Blocks [Supplementary Material]

description: The document is supplementary material to the article entitled "Life Cycle Assessment of Unstabilized, Fiber-Reinforced, and Geopolymerized Sediment-Based Compressed Earth Blocks".
DOI: 10.5281/zenodo.17423281
title: Life Cycle Assessment of Unstabilized, Fiber-Reinforced, and Geopolymerized Sediment-Based Compressed Earth Blocks [Supplementary Material]

description: The document is supplementary material to the article entitled "Life Cycle Assessment of Unstabilized, Fiber-Reinforced, and Geopolymerized Sediment-Based Compressed Earth Blocks".
DOI: 10.5517/cc13ysvp
title: CCDC 1041533: Experimental Crystal Structure Determination

description: Related Article: Tatyana S. Zhuk ,  Tatyana Koso ,  Alexander E. Pashenko ,  Ngo Trung Hoc ,  Vladimir N. Rodionov ,  Michael Serafin ,  Peter R. Schreiner ,  Andrey A. Fokin|2015|J.Am.Chem.Soc.|137|6577|doi:10.1021/jacs.5b01555
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc13yswq
title: CCDC 1041534: Experimental Crystal Structure Determination

description: Related Article: Tatyana S. Zhuk ,  Tatyana Koso ,  Alexander E. Pashenko ,  Ngo Trung Hoc ,  Vladimir N. Rodionov ,  Michael Serafin ,  Peter R. Schreiner ,  Andrey A. Fokin|2015|J.Am.Chem.Soc.|137|6577|doi:10.1021/jacs.5b01555
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc13ystn
title: CCDC 1041532: Experimental Crystal Structure Determination

description: Related Article: Tatyana S. Zhuk ,  Tatyana Koso ,  Alexander E. Pashenko ,  Ngo Trung Hoc ,  Vladimir N. Rodionov ,  Michael Serafin ,  Peter R. Schreiner ,  Andrey A. Fokin|2015|J.Am.Chem.Soc.|137|6577|doi:10.1021/jacs.5b01555
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc13z249
title: CCDC 1041790: Experimental Crystal Structure Determination

description: Related Article: Jing Wei Lai, Cheang Wei Chan, Chew Hee Ng, Ing Hong Ooi, Kong Wai Tan, Mohd Jamil Maah, Seik Weng Ng|2016|J.Mol.Struct.|1106|234|doi:10.1016/j.molstruc.2015.11.002
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.