cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25941562
title: raw and figure data for the manuscript "Acidity-driven gas-particle partitioning of nitrate regulates its transport to Arctic through the industrial era"

description: raw and figure data for the manuscript "Acidity-driven gas-particle partitioning of nitrate regulates its transport to Arctic through the industrial era"
DOI: 10.6084/m9.figshare.25941562.v1
title: raw and figure data for the manuscript "Acidity-driven gas-particle partitioning of nitrate regulates its transport to Arctic through the industrial era"

description: raw and figure data for the manuscript "Acidity-driven gas-particle partitioning of nitrate regulates its transport to Arctic through the industrial era"
DOI: 10.6084/m9.figshare.27107293
title: High-Speed In Vivo Voltage Imaging Dataset of Hippocampal Pyramidal Neurons and Interneurons

description: Here we present data used to demonstrate Activity Localization Imaging (ALI), a method that visualizes and extracts neuronal voltage signals from densely labeled population. 
<br>
The detailed principles of ALI and the methods for acquiring these data are described in: 
Chen et al., Imaging neuronal voltage beyond the scattering limit, Nature Methods (2025). 
<br>
File descriptions:
<br>
- “<strong>MouseCA1-PyramidalCells.tsm</strong>”: Contains voltage imaging data of CA1 pyramidal neurons (used in Figs. 2-4 of the paper).
<br>
- “<strong>MouseCA1-PV-Interneurons-Targeted-illumination.tsm</strong>”: Contains voltage imaging data of CA1 PV interneurons acquired using targeted illumination (used Fig. 5a, b). This dataset was previously published in Abdelfattah et al. Neuron (2023). 
<br>
Each of these files contains 360,000 images of Voltron 2-labeled neurons (160 x 190 pixels per image) taken at 2000 frames per second. The pixel size is 7.5 x 7.5 micrometers.
<br>
- “<strong>tsm_read.m</strong>”: A MATLAB script for reading these images. 
<br>
- “<strong>MouseCA1-PyramidalCells_2P_zstack.zip</strong>”: Contains a high-resolution two-photon z-stack covering the same pyramidal cells as in “MouseCA1-PyramidalCells.tsm”. 
--- The raw data file (“<strong>2P_verification_rawdata.tif</strong>”) contains both green and red channels. The Voltron fluorescence is visible in the red channel. 
--- To facilitate analysis, the red channel images were extracted, rotated 90 degrees to match the neuron orientation in voltage imaging, and stored in a separate file (“<strong>2P_verification_RedChannel_Rotated.tif</strong>”). 
<br>
The z-stack contains 100 images taken at 2 micrometer steps. 
<br>
<br>
DOI: 10.6084/m9.figshare.27107293.v1
title: High-Speed In Vivo Voltage Imaging Dataset of Hippocampal Pyramidal Neurons and Interneurons

description: Here we present data used to demonstrate Activity Localization Imaging (ALI), a method that visualizes and extracts neuronal voltage signals from densely labeled population. 
<br>
The detailed principles of ALI and the methods for acquiring these data are described in: 
Chen et al., Imaging neuronal voltage beyond the scattering limit, Nature Methods (2025). 
<br>
File descriptions:
<br>
- “<strong>MouseCA1-PyramidalCells.tsm</strong>”: Contains voltage imaging data of CA1 pyramidal neurons (used in Figs. 2-4 of the paper).
<br>
- “<strong>MouseCA1-PV-Interneurons-Targeted-illumination.tsm</strong>”: Contains voltage imaging data of CA1 PV interneurons acquired using targeted illumination (used Fig. 5a, b). This dataset was previously published in Abdelfattah et al. Neuron (2023). 
<br>
Each of these files contains 360,000 images of Voltron 2-labeled neurons (160 x 190 pixels per image) taken at 2000 frames per second. The pixel size is 7.5 x 7.5 micrometers.
<br>
- “<strong>tsm_read.m</strong>”: A MATLAB script for reading these images. 
<br>
- “<strong>MouseCA1-PyramidalCells_2P_zstack.zip</strong>”: Contains a high-resolution two-photon z-stack covering the same pyramidal cells as in “MouseCA1-PyramidalCells.tsm”. 
--- The raw data file (“<strong>2P_verification_rawdata.tif</strong>”) contains both green and red channels. The Voltron fluorescence is visible in the red channel. 
--- To facilitate analysis, the red channel images were extracted, rotated 90 degrees to match the neuron orientation in voltage imaging, and stored in a separate file (“<strong>2P_verification_RedChannel_Rotated.tif</strong>”). 
<br>
The z-stack contains 100 images taken at 2 micrometer steps. 
<br>
<br>
DOI: 10.5281/zenodo.15542005
title: Muography-Based Approach to Density and Saturation Estimation in Porous Media: Insights from a Laboratory-Scale Experiment

description: Description:

This dataset includes raw and processed data from laboratory-based muon flux measurements as well as simulation outputs used for density estimation and attenuation modeling in porous media. Supporting metadata and a complete list of variables are provided.

Contents:

1.      Acrylic experimental dataset: Contains the raw coinciding muon event data collected during laboratory experiments using acrylic blocks of varying thicknesses. The dataset includes time-stamped flux measurements under controlled conditions, used to analyze attenuation trends and validate detector performance. The dataset is structured in a single xyz file, includes 3 columns: 1: timestamp, 2: Channel (1-4), 3: Pulse height.

2.      Acrylic simulation dataset: This dataset includes simulation outputs that model muon flux attenuation through acrylic using the PHITS (Particle and Heavy Ion Transport code System) Monte Carlo simulation framework. Due to the large data volume, the simulations are divided into multiple files. Each simulation stage represents 48 hours of virtual exposure and is executed using four different random seed values (1-4 files, equivalent to 12 hours). Each detector's output is stored separately in the dmp/ directory. These files contain all events that passed through the respective detector. Each recorded event is stored as a data matrix consisting of the following indices:

1, 2, 3, 4, 5, 6, 7, 8, 17, 18, 19

These indices correspond to specific physical quantities such as particle ID, energy, spatial coordinates, direction cosines, statistical weight, and timestamp. Detailed descriptions of each index are provided in the official PHITS User’s Manual.

3.      Sand experimental dataset: Contains the raw conceding muon event data collected during laboratory experiments using changing saturation sand cubes. The dataset includes time-stamped flux measurements under controlled conditions, used to analyze attenuation trends and validate detector performance. The dataset is structured in a single xyz file, includes 3 columns: 1: timestamp, 2: Channel (1-4), 3: Pulse height.

4.      Sand simulation dataset: This dataset includes simulation outputs that model muon flux attenuation through varying saturation porous sand using the PHITS (Particle and Heavy Ion Transport code System) Monte Carlo simulation framework. 

5.      Meteorological dataset: Contains auxiliary atmospheric environmental data (temperature, pressure) recorded during all experimental runs.

Ownership and Licensing:

This dataset is distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to use it, provided you give appropriate credit, include a link to the license, and indicate if changes were made.
DOI: 10.5281/zenodo.15542006
title: Muography-Based Approach to Density and Saturation Estimation in Porous Media: Insights from a Laboratory-Scale Experiment

description: Description:

This dataset includes raw and processed data from laboratory-based muon flux measurements as well as simulation outputs used for density estimation and attenuation modeling in porous media. Supporting metadata and a complete list of variables are provided.

Contents:

1.      Acrylic experimental dataset: Contains the raw coinciding muon event data collected during laboratory experiments using acrylic blocks of varying thicknesses. The dataset includes time-stamped flux measurements under controlled conditions, used to analyze attenuation trends and validate detector performance. The dataset is structured in a single xyz file, includes 3 columns: 1: timestamp, 2: Channel (1-4), 3: Pulse height.

2.      Acrylic simulation dataset: This dataset includes simulation outputs that model muon flux attenuation through acrylic using the PHITS (Particle and Heavy Ion Transport code System) Monte Carlo simulation framework. Due to the large data volume, the simulations are divided into multiple files. Each simulation stage represents 48 hours of virtual exposure and is executed using four different random seed values (1-4 files, equivalent to 12 hours). Each detector's output is stored separately in the dmp/ directory. These files contain all events that passed through the respective detector. Each recorded event is stored as a data matrix consisting of the following indices:

1, 2, 3, 4, 5, 6, 7, 8, 17, 18, 19

These indices correspond to specific physical quantities such as particle ID, energy, spatial coordinates, direction cosines, statistical weight, and timestamp. Detailed descriptions of each index are provided in the official PHITS User’s Manual.

3.      Sand experimental dataset: Contains the raw conceding muon event data collected during laboratory experiments using changing saturation sand cubes. The dataset includes time-stamped flux measurements under controlled conditions, used to analyze attenuation trends and validate detector performance. The dataset is structured in a single xyz file, includes 3 columns: 1: timestamp, 2: Channel (1-4), 3: Pulse height.

4.      Sand simulation dataset: This dataset includes simulation outputs that model muon flux attenuation through varying saturation porous sand using the PHITS (Particle and Heavy Ion Transport code System) Monte Carlo simulation framework. 

5.      Meteorological dataset: Contains auxiliary atmospheric environmental data (temperature, pressure) recorded during all experimental runs.

Ownership and Licensing:

This dataset is distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to use it, provided you give appropriate credit, include a link to the license, and indicate if changes were made.
DOI: 10.15784/601927
title: Ensemble of subglacial topography beneath Denman Glacier generated by geostatistical Monte Carlo Markov Chain under mass conservation principle

description: This dataset is a result of a study which uses Monte Carlo Markov Chain and geostatistics to infer subglacial topography from sparse bed elevation measurements. The dataset consists of 40 equally probable realizations of subglacial topography in the Denman region. Each of the realizations is constrained by conservation of ice mass (mass conservation), complies with bed elevation measurements from bedmap3 dataset, and has a realistic topographic roughness. The topography has 1 kilometer times 1 kilometer resolution on a regular grid in polar stereographic projection (EPSG 3412).
DOI: 10.15468/dl.h6kzmv
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((-102 -26,103 -26,103 28,-102 28,-102 -26))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adiantum refractum Christ"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011404-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17647139
title: Raw Text Edition of the Middle Low German "Flors und Blanzeflors" in a Köln-Mülheim Fragment

description: A raw text edition of the Middle Low German Flors und Blanzeflors based on Heinrich Schafstaedt’s 1906 edition of a Köln-Mülheim fragment. This edition does not include any punctuation—except where it indicates textual loss—in order to make a faithful transcription available to the public.
DOI: 10.5281/zenodo.17647140
title: Raw Text Edition of the Middle Low German "Flors und Blanzeflors" in a Köln-Mülheim Fragment

description: A raw text edition of the Middle Low German Flors und Blanzeflors based on Heinrich Schafstaedt’s 1906 edition of a Köln-Mülheim fragment. This edition does not include any punctuation—except where it indicates textual loss—in order to make a faithful transcription available to the public.
DOI: 10.5281/zenodo.16918544
title: Spatially explicit distribution of hedgerows across German agricultural landscapes: simplified polygons and lines

description: This dataset contains a spatially explicit estimation of hedgerows across agricultural areas in Germany in vector format: simplified polygons and simplified lines. The original data corresponds to dataset "Spatially explicit distribution of hedgerows across German agricultural landscapes" https://doi.org/10.5281/zenodo.15654505, also available in Zenodo.

The dataset has been developed as part of the project KlimaFern, Remote Sensing for Improved Climate reporting. 

Hedgerows here are defined as linear woody features of 3-20 m wide with agriculture on at least one side, akin to the Land Use/Cover Area Survey (LUCAS) criteria. The hedgerow predictions are based on multitemporal PlanetScope imagery for the year 2022 and a convolutional neural network with a UNet backbone. Details on the calibration and accuracies for the raster predictions can be found in Muro et al., (2025) https://doi.org/10.1016/j.rse.2025.114870.

Known limitations of the product are:



hedgerows narrower than 3 m in canopy and hedgerows recently coppiced (false negatives) 

hedgerows close (<~10m) and parallel to other hedgerows or forest patches (false negatives)

hedgerows slightly above the 20 m width definition may or may not be included 

dense tree lines without hedgerows underneath (false positives)


Users can request the data before the embargo date. Just press "Request access" below.

 

Contacts:

Stefan Erasmi: stefan.erasmi@thuenen.de

Javier Muro: javier.muro@ie.edu
DOI: 10.5281/zenodo.16918545
title: Spatially explicit distribution of hedgerows across German agricultural landscapes: simplified polygons and lines

description: This dataset contains a spatially explicit estimation of hedgerows across agricultural areas in Germany in vector format: simplified polygons and simplified lines. The original data corresponds to dataset "Spatially explicit distribution of hedgerows across German agricultural landscapes" https://doi.org/10.5281/zenodo.15654505, also available in Zenodo.

The dataset has been developed as part of the project KlimaFern, Remote Sensing for Improved Climate reporting. 

Hedgerows here are defined as linear woody features of 3-20 m wide with agriculture on at least one side, akin to the Land Use/Cover Area Survey (LUCAS) criteria. The hedgerow predictions are based on multitemporal PlanetScope imagery for the year 2022 and a convolutional neural network with a UNet backbone. Details on the calibration and accuracies for the raster predictions can be found in Muro et al., (2025) https://doi.org/10.1016/j.rse.2025.114870.

Known limitations of the product are:



hedgerows narrower than 3 m in canopy and hedgerows recently coppiced (false negatives) 

hedgerows close (<~10m) and parallel to other hedgerows or forest patches (false negatives)

hedgerows slightly above the 20 m width definition may or may not be included 

dense tree lines without hedgerows underneath (false positives)


Users can request the data before the embargo date. Just press "Request access" below.

 

Contacts:

Stefan Erasmi: stefan.erasmi@thuenen.de

Javier Muro: javier.muro@ie.edu
DOI: 10.15468/dl.j9kcgz
title: Occurrence Download

description: A dataset containing 20670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lophodermium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20670 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044541-251025141854904/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.30416401
title: Bibliografía I+D

description: Bibliografía
DOI: 10.6084/m9.figshare.30416401.v3
title: Bibliografía I+D

description: Bibliografía
DOI: 10.6084/m9.figshare.30416401.v2
title: Bibliografía I+D

description: Bibliografía
DOI: 10.15468/dl.tqtcge
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.3688 26.99913, -110.2188 26.99913, -110.2188 27.14913, -110.3688 27.14913, -110.3688 26.99913))"
 ]
}

 The dataset includes 127 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044543-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21947/3003469
title: NANT site - Lidar / Processed Data

description: This dataset contains processed data from the WFIP3 NANT site UTD LIDAR Windcube 200S.
DOI: 10.15468/dl.de7crk
title: Occurrence Download

description: A dataset containing 141899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stachys recta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 141899 records from 1214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044508-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnaabx
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.2188 26.99913, -110.0688 26.99913, -110.0688 27.14913, -110.2188 27.14913, -110.2188 26.99913))"
 ]
}

 The dataset includes 375 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044545-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4ezg3
title: Occurrence Download

description: A dataset containing 858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyclaneusma",
 "HasCoordinate is true"
 ]
}

 The dataset includes 858 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044544-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17647407
title: Group Discussion Entrepreneurship
DOI: 10.5281/zenodo.17647406
title: Group Discussion Entrepreneurship
DOI: 10.15468/dl.eq97ke
title: Occurrence Download

description: A dataset containing 4131 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.0688 26.99913, -109.9188 26.99913, -109.9188 27.14913, -110.0688 27.14913, -110.0688 26.99913))"
 ]
}

 The dataset includes 4131 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044546-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.669gha
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((57.06184 9.92784,89.93816 9.92784,89.93816 23.07216,57.06184 23.07216,57.06184 9.92784))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Micrixalus uttaraghati"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044547-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13789067
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.jr6kem
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Patellina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044548-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21947/2228945
title: MVCO site - UTD Surface Met Station / Reviewed Data

description: This dataset contains reviewed data from the C1 UTD surface met station at the MVCO site.
DOI: 10.15468/dl.t87w6x
title: Occurrence Download

description: A dataset containing 3145 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.9188 26.99913, -109.7688 26.99913, -109.7688 27.14913, -109.9188 27.14913, -109.9188 26.99913))"
 ]
}

 The dataset includes 3145 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044549-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110821090
title: Persepolis Fortification Elamite Tablet 2272.102, Fort 2272.102

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 2272.102 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. ❧ [Physical Object Note:] Borken right edge, upper edge, most of left edge.
DOI: 10.25549/inscriptifact-ouc110821202
title: Persepolis Fortification Elamite Tablet 2272.102, Fort 2272.102

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 2272.102 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. ❧ [Physical Object Note:] Borken right edge, upper edge, most of left edge.
DOI: 10.25549/inscriptifact-ouc110821300
title: Persepolis Fortification Elamite Tablet 2273.103, Fort 2273.103

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 2273.103 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. ❧ [Physical Object Note:] All edges broken, except for small part of bottom edge.
DOI: 10.25549/inscriptifact-ouc110821205
title: Persepolis Fortification Elamite Tablet 2272.102, Fort 2272.102

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 2272.102 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. ❧ [Physical Object Note:] Borken right edge, upper edge, most of left edge.