cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7gtrve
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pigra L.",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 50 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083550-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13785966
title: Monitoring water content variations from seismic noise in a controlled laboratory experiment: PART 2 [Dataset]

description: This dataset has been obtained with an original laboratory experiment aimed at assessing the sensitivity of passive seismic interferometry imaging (PII) to controlled fluctuations in water content. Multiple controlled cycles of water imbibition and draining at the base of the sandbox produce significant variations in the seismic wavefield and especially in dominant surface waves. PART 2: seismic measurements from 1501 to 2700minutes
DOI: 10.5281/zenodo.13785967
title: Monitoring water content variations from seismic noise in a controlled laboratory experiment: PART 2 [Dataset]

description: This dataset has been obtained with an original laboratory experiment aimed at assessing the sensitivity of passive seismic interferometry imaging (PII) to controlled fluctuations in water content. Multiple controlled cycles of water imbibition and draining at the base of the sandbox produce significant variations in the seismic wavefield and especially in dominant surface waves. PART 2: seismic measurements from 1501 to 2700minutes
DOI: 10.15468/dl.z9msga
title: Occurrence Download

description: A dataset containing 350557 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MSB Mammal Collection (Arctos)"
 ]
}

 The dataset includes 350557 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083541-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13187968
title: Global Relief Clasess (GRC) Dataset

description: Understanding the land surface morphology and its relief components, which record the dynamics of the planet's evolution and interaction of multiple environmental factors, constitutes a critical aspect of Earth system science. However, classified relief and landform data with a resolution of approximately 1 arc-second (approximately 30 m) are lacking at the global scale, which limits the progress of related studies at finer scales.

We utilized several Digital Elevation Models (DEMs) and innovative approaches to classify terrain relief on the Earth's surface into two levels with 1 arc-second. Table 1 provides the meanings and colormaps for the two levels of relief.

In this study, we refer to the two primary surface types as flat terrain and rugged terrain in Level 1 (L1), based on their differences in slope characteristics. These two contrasting relief classes provide essential support for understanding landform processes, analyzing hydrological patterns, and assessing the spatial distribution of human activities across diverse environmental contexts. At Level 2 (L2), the flat terrain retains elevation-based characteristics and is further divided into low-altitude, middle-altitude, high-altitude, and very high-altitude flat terrain. Rugged terrain is subdivided at L2 into low-relief, gentle-relief, moderate-relief, high-relief and very high-relief rugged terrain.

We provide accessible rasterized files, with the coordinate system in WGS84 (EPSG: 3857). The cell values in each raster file represent tertiary landform types. Specifically, the first digit represents a L1 type, and the first two digits represent a L2 type.

Nanjing Normal University produced this dataset with the support of the Deep-time Digital Earth (DDE) International Big Science Program.
DOI: 10.5281/zenodo.15641257
title: Global Relief Clasess (GRC) Dataset

description: Understanding the land surface morphology and its relief components, which record the dynamics of the planet's evolution and interaction of multiple environmental factors, constitutes a critical aspect of Earth system science. However, classified relief and landform data with a resolution of approximately 1 arc-second (approximately 30 m) are lacking at the global scale, which limits the progress of related studies at finer scales.

We utilized several Digital Elevation Models (DEMs) and innovative approaches to classify terrain relief on the Earth's surface into two levels with 1 arc-second. Table 1 provides the meanings and colormaps for the two levels of relief.

In this study, we refer to the two primary surface types as flat terrain and rugged terrain in Level 1 (L1), based on their differences in slope characteristics. These two contrasting relief classes provide essential support for understanding landform processes, analyzing hydrological patterns, and assessing the spatial distribution of human activities across diverse environmental contexts. At Level 2 (L2), the flat terrain retains elevation-based characteristics and is further divided into low-altitude, middle-altitude, high-altitude, and very high-altitude flat terrain. Rugged terrain is subdivided at L2 into low-relief, gentle-relief, moderate-relief, high-relief and very high-relief rugged terrain.

We provide accessible rasterized files, with the coordinate system in WGS84 (EPSG: 3857). The cell values in each raster file represent tertiary landform types. Specifically, the first digit represents a L1 type, and the first two digits represent a L2 type.

Nanjing Normal University produced this dataset with the support of the Deep-time Digital Earth (DDE) International Big Science Program.
DOI: 10.5281/zenodo.13785330
title: Monitoring water content variations from seismic noise in a controlled laboratory experiment: PART 1 [Dataset]

description: This dataset has been obtained with an original laboratory experiment aimed at assessing the sensitivity of passive seismic interferometry imaging (PII) to controlled fluctuations in water content. Multiple controlled cycles of water imbibition and draining at the base of the sandbox produce significant variations in the seismic wavefield and especially in dominant surface waves. PART 1: seismic measurements from 0001 to 1500minutes
DOI: 10.5281/zenodo.13785331
title: Monitoring water content variations from seismic noise in a controlled laboratory experiment: PART 1 [Dataset]

description: This dataset has been obtained with an original laboratory experiment aimed at assessing the sensitivity of passive seismic interferometry imaging (PII) to controlled fluctuations in water content. Multiple controlled cycles of water imbibition and draining at the base of the sandbox produce significant variations in the seismic wavefield and especially in dominant surface waves. PART 1: seismic measurements from 0001 to 1500minutes
DOI: 10.5281/zenodo.15488648
title: ALOFT 24 FGF Lightcurves and Fitted energy spectra

description: This repository contains Lightcurves and Fitted binned energy spectra plots for 24 ALOFT Flickering Gamma-ray Flashes. The FGFs were recorded in July 2023 by the ALOFT BGO instrument.

alt = source altitude of the FGF

rad dist = radial distance (horizontal) between FGF source and ALOFT ER-2 plane

NLL = Negative log-likelihood value

The allowed radial distance and altitude intervals for each event come from the GLD and ECFM analysis of the Narrow Bipolar Events (NBEs) following the FGFs (when available). More data is available inside the matlab structures 'final_results_pointSource.mat' and 'event_metrics.mat' (fit results, accepted radial distance and altitudes, total and normal count numbers, accepted photon source brightness, ...).
DOI: 10.5281/zenodo.15488649
title: ALOFT 24 FGF Lightcurves and Fitted energy spectra

description: This repository contains Lightcurves and Fitted binned energy spectra plots for 24 ALOFT Flickering Gamma-ray Flashes. The FGFs were recorded in July 2023 by the ALOFT BGO instrument.

alt = source altitude of the FGF

rad dist = radial distance (horizontal) between FGF source and ALOFT ER-2 plane

NLL = Negative log-likelihood value

The allowed radial distance and altitude intervals for each event come from the GLD and ECFM analysis of the Narrow Bipolar Events (NBEs) following the FGFs (when available). More data is available inside the matlab structures 'final_results_pointSource.mat' and 'event_metrics.mat' (fit results, accepted radial distance and altitudes, total and normal count numbers, accepted photon source brightness, ...).
DOI: 10.15468/dl.3pthty
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pigra L.",
 "Country is Niger",
 "HasCoordinate is true"
 ]
}

 The dataset includes 74 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083556-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vm8s5t
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pigra L.",
 "Country is Nigeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 106 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083557-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00001.01539
title: XBMU-bo-Lhasa31:A Speech Recognition Dataset for the Lhasa Dialect of Tibetan
title: XBMU-bo-Lhasa31:藏语拉萨话语音识别数据集

description: The dataset consists of audio files, text files and description files. Where (1) wav is the audio folder, under which it is divided into 51 subfolders according to the speaker, with a total duration of 31.61 hours, containing 24,289 speech samples, with an average duration of 4.68 seconds each, totaling 2.68 GB.(2) The text in the transcript file corresponds to the audio one-to-one, where all the textual data are derived from the news domain, and the textual non pronunciation symbols are normalized. (3)The readme.txt file contains some basic information of the dataset. (4) resource_lexicon.txt is the pronunciation lexicon file.
description: The dataset consists of audio files, text files and description files. Where (1) wav is the audio folder, under which it is divided into 51 subfolders according to the speaker, with a total duration of 31.61 hours, containing 24,289 speech samples, with an average duration of 4.68 seconds each, totaling 2.68 GB.(2) The text in the transcript file corresponds to the audio one-to-one, where all the textual data are derived from the news domain, and the textual non pronunciation symbols are normalized. (3)The readme.txt file contains some basic information of the dataset. (4) resource_lexicon.txt is the pronunciation lexicon file.
DOI: 10.15468/dl.xrcxye
title: Occurrence Download

description: A dataset containing 34903091 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Norwegian Species Observation Service"
 ]
}

 The dataset includes 34903091 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083539-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5smrx7
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pigra L.",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083558-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ya7xvy
title: Occurrence Download

description: A dataset containing 29312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.1.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera",
 "Year 2020-2025"
 ]
}

 The dataset includes 29312 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083559-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15738060
title: Colección Fotográfica Hernández-Pacheco (Patrimonio Digital Complutense)
title: Hernández-Pacheco Photographic Collection (Patrimonio Digital Complutense)

description: La Colección Fotográfica Hernández-Pacheco (Patrimonio Digital Complutense) contiene las imágenes digitalizadas de 1510 fotografías realizadas en su mayoría por el geólogo Eduardo Hernández-Pacheco en el desarrollo de su actividad docente e investigadora, entre 1900 y 1950 aproximadamente. Las fotografías positivadas sobre placas de vidrio han sido descritas por el grupo de investigación FOTODOC (UCM). Esta descripción ha sido revisada por La Biblioteca Histórica de la UCM, lugar en el que están depositadas físicamente. En lo que tiene que ver con su versión digital, han sido depositadas en el portal Patrimonio Digital Complutense por el Servicio Digital y Web de la Biblioteca Complutense. Este Servicio ha llevado a cabo la conversión de los metadatos originales disponibles en el buscador Cisne en formato Marc21 a los distintos vocabularios interoperables para su puesta a disposición del público. Así mismo, se ha realizado un trabajo de geolocalización de dicho conjunto de fotografías.
description: Hernández-Pacheco Photographic Collection (Complutense Digital Heritage) contains the digitized images of 1510 photographs taken mostly by the geologist Eduardo Hernández-Pacheco in the development of his teaching and research activity. The photographs printed on glass plates have been described by the FOTODOC research group (UCM). This description has been reviewed by the Historical Library of the UCM, where they are physically deposited. As for their digital version, they have been deposited in the portal Patrimonio Digital Complutense by the Digital and Web Service of the Complutense Library. This Service has carried out the conversion of the original metadata available in the Cisne search engine in Marc21 format to the different interoperable vocabularies to make them available to the public. Likewise, the geolocation of this set of photographs has been carried out.
DOI: 10.5281/zenodo.15738061
title: Colección Fotográfica Hernández-Pacheco (Patrimonio Digital Complutense)
title: Hernández-Pacheco Photographic Collection (Patrimonio Digital Complutense)

description: La Colección Fotográfica Hernández-Pacheco (Patrimonio Digital Complutense) contiene las imágenes digitalizadas de 1510 fotografías realizadas en su mayoría por el geólogo Eduardo Hernández-Pacheco en el desarrollo de su actividad docente e investigadora, entre 1900 y 1950 aproximadamente. Las fotografías positivadas sobre placas de vidrio han sido descritas por el grupo de investigación FOTODOC (UCM). Esta descripción ha sido revisada por La Biblioteca Histórica de la UCM, lugar en el que están depositadas físicamente. En lo que tiene que ver con su versión digital, han sido depositadas en el portal Patrimonio Digital Complutense por el Servicio Digital y Web de la Biblioteca Complutense. Este Servicio ha llevado a cabo la conversión de los metadatos originales disponibles en el buscador Cisne en formato Marc21 a los distintos vocabularios interoperables para su puesta a disposición del público. Así mismo, se ha realizado un trabajo de geolocalización de dicho conjunto de fotografías.
description: Hernández-Pacheco Photographic Collection (Complutense Digital Heritage) contains the digitized images of 1510 photographs taken mostly by the geologist Eduardo Hernández-Pacheco in the development of his teaching and research activity. The photographs printed on glass plates have been described by the FOTODOC research group (UCM). This description has been reviewed by the Historical Library of the UCM, where they are physically deposited. As for their digital version, they have been deposited in the portal Patrimonio Digital Complutense by the Digital and Web Service of the Complutense Library. This Service has carried out the conversion of the original metadata available in the Cisne search engine in Marc21 format to the different interoperable vocabularies to make them available to the public. Likewise, the geolocation of this set of photographs has been carried out.
DOI: 10.15468/dl.6cmxqm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pigra L.",
 "Country is Philippines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083561-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15349427
title: Pre-calculated library of FGF/TGF produced from a grid of altitudes (8-16 km) and radial distances (0-15 km)

description: # TGF FGF Atmospheric propagation Library (ALOFT context)


| file | purpose |

| -------------------------- | ---------------------------------------------------------------------------------------------------------------------------------- |

| `plot_simulated_spectra.m` | Bin raw photons from selected **altitude × radius** cells into 64 log‑spaced bins (500 – 32 000 keV) and save PNGs to `examples/`. |

| `describe_TGF_library.m` | Print a compact inventory of the MAT‑file (field names, classes, sizes). |


---


Calculated using the GEANT4-based code: https://doi.org/10.5281/zenodo.15024494


## MAT‑file: `TGF_Library_20km_StartPhot_gaussian_30.mat`


| field | size | note |

| ------------------------- | -------------- | ----------------------------------------- |

| `altitudes` | 1 × 10 double | source heights \[km] |

| `r_bins` | 1 × 17 double | radial bins \[km] |

| `e_bins` | 1 × 102 double | energy edges \[keV] |

| `ener_lists` | 10 × 17 cell | raw photon energies (≈ 1 M each) |

| `spec` | 10 × 17 cell | spectrum already binned on `e_bins` |

| `NB_SAMPLED_INITIALLY` | 10 × 17 double | MC photons launched per cell |

| `COUNTS_PER_CM2_FOR_1017` | 10 × 17 double | detector counts per 10¹⁷ source electrons |

| `WANTED_STATS` | scalar double | target photon count threshold |


---


## Quick start


```matlab

% spectra

plot_simulated_spectra % PNGs appear in ./examples


% inspect library

describe_TGF_library

```


Tweak `ALTITUDES_TO_SHOW`, `R_BINS_TO_SHOW`, or `NBINS_PLOT` inside `plot_simulated_spectra.m` to explore other part of the parameter space.
DOI: 10.5281/zenodo.15349428
title: Pre-calculated library of FGF/TGF produced from a grid of altitudes (8-16 km) and radial distances (0-15 km)

description: # TGF FGF Atmospheric propagation Library (ALOFT context)


| file | purpose |

| -------------------------- | ---------------------------------------------------------------------------------------------------------------------------------- |

| `plot_simulated_spectra.m` | Bin raw photons from selected **altitude × radius** cells into 64 log‑spaced bins (500 – 32 000 keV) and save PNGs to `examples/`. |

| `describe_TGF_library.m` | Print a compact inventory of the MAT‑file (field names, classes, sizes). |


---


Calculated using the GEANT4-based code: https://doi.org/10.5281/zenodo.15024494


## MAT‑file: `TGF_Library_20km_StartPhot_gaussian_30.mat`


| field | size | note |

| ------------------------- | -------------- | ----------------------------------------- |

| `altitudes` | 1 × 10 double | source heights \[km] |

| `r_bins` | 1 × 17 double | radial bins \[km] |

| `e_bins` | 1 × 102 double | energy edges \[keV] |

| `ener_lists` | 10 × 17 cell | raw photon energies (≈ 1 M each) |

| `spec` | 10 × 17 cell | spectrum already binned on `e_bins` |

| `NB_SAMPLED_INITIALLY` | 10 × 17 double | MC photons launched per cell |

| `COUNTS_PER_CM2_FOR_1017` | 10 × 17 double | detector counts per 10¹⁷ source electrons |

| `WANTED_STATS` | scalar double | target photon count threshold |


---


## Quick start


```matlab

% spectra

plot_simulated_spectra % PNGs appear in ./examples


% inspect library

describe_TGF_library

```


Tweak `ALTITUDES_TO_SHOW`, `R_BINS_TO_SHOW`, or `NBINS_PLOT` inside `plot_simulated_spectra.m` to explore other part of the parameter space.
DOI: 10.15468/dl.3dhka7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pigra L.",
 "Country is Saint Lucia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083563-250525065834625/datasets/export for details.
DOI: 10.15468/dl.k2p3cq
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pigra L.",
 "Country is Rwanda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083562-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15768135
title: DockBind wrong

description: DockBind is a curated dataset designed to support the development and benchmarking of machine learning models for protein–ligand binding prediction. It includes high-quality protein-ligand complexes modeled through molecular docking annotated with binding affinity data from ChEMBL and BindingDB.

 

 

GitHub repo (v1.0): https://github.com/ruthbrenk/DockBind/tree/v1.0
DOI: 10.3535/r5r-ysq-wsn
title: Halcyon gularis (Kuhl, 1820)

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.15468/dl.qtdghs
title: Occurrence Download

description: A dataset containing 60385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-133.42095 54.33989,-133.88267 54.06984,-132.17431 51.64523,-130.18893 51.58789,-130.92768 54.25906,-133.42095 54.33989))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset includes 60385 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083547-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rf246y
title: Occurrence Download

description: A dataset containing 113448853 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Artportalen"
 ]
}

 The dataset includes 113448853 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083540-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/q9h-h2t-894
title: Erythrura tricolor x psittacea

description: Digital Specimen for the physical specimen hosted at Natural History Museum of Denmark.
DOI: 10.15468/dl.enqw3v
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Paeonia ×suffruticosa Andrews"
 ]
}

 The dataset includes 262 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083565-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.