cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/csc2.stk.acisfj2217282p001509_001
title: Chandra X-ray Observatory Stack acisfJ2217282p001509_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2223091m285652_001
title: Chandra X-ray Observatory Stack acisfJ2223091m285652_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2153498p623533_001
title: Chandra X-ray Observatory Stack acisfJ2153498p623533_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2343422p001730_002
title: Chandra X-ray Observatory Stack acisfJ2343422p001730_002

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2033230p412444_001
title: Chandra X-ray Observatory Stack acisfJ2033230p412444_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2118251p001720_001
title: Chandra X-ray Observatory Stack acisfJ2118251p001720_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2130579m493016_001
title: Chandra X-ray Observatory Stack acisfJ2130579m493016_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2143273m453822_001
title: Chandra X-ray Observatory Stack acisfJ2143273m453822_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2333509p001248_001
title: Chandra X-ray Observatory Stack acisfJ2333509p001248_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2334535p181335_001
title: Chandra X-ray Observatory Stack acisfJ2334535p181335_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2120127m442621_001
title: Chandra X-ray Observatory Stack acisfJ2120127m442621_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2124028p114732_001
title: Chandra X-ray Observatory Stack acisfJ2124028p114732_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2155020m092248_001
title: Chandra X-ray Observatory Stack acisfJ2155020m092248_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2148308p044147_001
title: Chandra X-ray Observatory Stack acisfJ2148308p044147_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1810326m191720_001
title: Chandra X-ray Observatory Stack acisfJ1810326m191720_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2118498p490120_001
title: Chandra X-ray Observatory Stack acisfJ2118498p490120_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2214599m140223_001
title: Chandra X-ray Observatory Stack acisfJ2214599m140223_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1828406m665844_001
title: Chandra X-ray Observatory Stack acisfJ1828406m665844_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2127472p565612_001
title: Chandra X-ray Observatory Stack acisfJ2127472p565612_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2124433m335918_002
title: Chandra X-ray Observatory Stack acisfJ2124433m335918_002

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj2125008m081321_001
title: Chandra X-ray Observatory Stack acisfJ2125008m081321_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.stk.acisfj1825299m114436_001
title: Chandra X-ray Observatory Stack acisfJ1825299m114436_001

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.25yxaa
title: Occurrence Download

description: A dataset containing 2373744614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 2373744614 records from 34535 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010700-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v3q6x
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 137490) deployed in the Bering Sea, Gulf of Alaska, North Pacific Ocean, Northwestern Passages, and the Norwegian Sea from 2016-04-14 to 2016-04-14, deployment id 56fa0f155adf4a0c20ffeacc"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014896-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfzjch
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geum quellyon",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014892-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zx8xzc
title: Occurrence Download

description: A dataset containing 8375 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viburnum dentatum"
 ]
}

 The dataset includes 8375 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014893-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3d8tz
title: Occurrence Download

description: A dataset containing 32396 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veronica fruticans"
 ]
}

 The dataset includes 32396 records from 374 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014894-250920141307145/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.30207115.v1
title: Welcome and Introduction - Ulrik Pagh Schultz Lundquist - WildDrone Summer School 2025

description: Prof. Wikelski welcomed participants to MPG and thanked the organising team.Prof. Pagh Schultz Lundquist outlined the structure of the Summer School and delivered an overview of WildDrone, its context, background, and funding, its work to-date, and plans through to its completion.The WildDrone Summer School took place in September 2025, hosted by the Max Planck Institute for Animal Behavior in Konstanz, Germany. WildDrone researches and develops the use of drones for wildlife conservation, and is an MSCA Doctoral Network funded by the European Union’s Horizon Europe research and innovation funding programme under the Marie Skłodowska-Curie grant agreement no. 101071224.
DOI: 10.57745/71gmtn
title: OPTMix_ThomasPEROT_template_TEMPO_FORET_20231020_correctionsSIDO.xlsx
DOI: 10.57745/mizdge
title: OPTMix_ThomasPEROT_template_TEMPO_FORET_20231020_correctionsSIDO.xlsx
DOI: 10.57745/cep7k3
title: metadata.xml

description: A metadata file, automatically added by SIDO. The Ecological Metadata Language (EML) defines a comprehensive vocabulary and a readable XML markup syntax for documenting research data.
DOI: 10.57745/ly6cew
title: OPTMix_ThomasPEROT_template_TEMPO_FORET_20250107_MAJ2024.xlsx

description: Ajout des données de la campagne 2024
DOI: 10.57745/pn708r
title: OPTMix_ThomasPEROT_template_TEMPO_FORET_20250107_MAJ2024.xlsx
DOI: 10.57745/rjxchw
title: metadata.xml

description: A metadata file, automatically added by SIDO. The Ecological Metadata Language (EML) defines a comprehensive vocabulary and a readable XML markup syntax for documenting research data.
DOI: 10.57745/y7iwwd
title: OPTMix_ThomasPEROT_template_TEMPO_FORET_20250923_MAJ2025.xlsx
DOI: 10.57745/lg4bwf
title: metadata.xml

description: A metadata file, automatically added by SIDO. The Ecological Metadata Language (EML) defines a comprehensive vocabulary and a readable XML markup syntax for documenting research data.
DOI: 10.15468/dl.8362zb
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geum quellyon",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014897-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r66gfe
title: Occurrence Download

description: A dataset containing 43125314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Year 1926-2025"
 ]
}

 The dataset includes 43125314 records from 13912 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014836-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgez9g
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Cultivars de bananiers fruit échantillonnes et les zones de prélèvement"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057359-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zy28cj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.811305 -33.128313, 149.811305 -33.132805, 149.809059 -33.132805, 149.809059 -33.141788, 149.811305 -33.141788, 149.811305 -33.139542, 149.813551 -33.139542, 149.813551 -33.128313, 149.811305 -33.128313))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057360-240626123714530/datasets/export for details.
DOI: 10.15468/dl.wxq6xf
title: Occurrence Download

description: A dataset containing 1828 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balsamorhiza deltoidea Nutt."
 ]
}

 The dataset includes 1828 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057361-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/g4f9-dw82
title: Parkes observations for project P1176 semester 2024APRS_02

description: Pulsars and their winds are among nature's most powerful particle accelerators, producing particles with energies up to a few PeVatrons. In addition to high-energy radiation from the magnetosphere, the rotational energy of a neutron star is carried away in the form of magnetized ultra-relativistic pulsar winds. Investigation of pulsar wind nebula (PWN) offers an excellent chance to determine the interaction details of relativistic flows with their surroundings that may never be possible in other classes of source. Our recent analyses of ASKAP observations of Galactic Plane uncovered previously known X-ray PWN CXOU J163802.6-471358 (nicknamed Potoroo). Recently, we have successfully detected a pulsar candidate associated with Potoroo with Parkes telescope. It is detected at 3 GHz with a dispersion measure of DM = 1553 pc cm-3 and a rotation period of 65.74 ms. Here we propose to continue timing observations for this young pulsar with the Parkes Ultra-Wideband Low (UWL) receiver. Through pulsar timing, we will be able to obtain precise measurements of the pulsar position and the spin-down of the pulsar which enables us to independently estimate the age of the system. This program will also facilitate our LBA observations to measure proper motions of the pulsar through pulse-phased resolved VLBI experiments.
DOI: 10.15468/dl.hb7qcw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.436876 -33.132805, 148.436876 -33.141788, 148.439122 -33.141788, 148.439122 -33.139542, 148.443613 -33.139542, 148.443613 -33.132805, 148.436876 -33.132805))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057362-240626123714530/datasets/export for details.
DOI: 10.15468/dl.m7qkjn
title: Occurrence Download

description: A dataset containing 1793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((174.36037 -38.96514,174.25865 -38.96929,174.24951 -39.06046,174.33639 -39.10577,174.42722 -39.09745,174.44258 -39.01345,174.42722 -38.98106,174.40937 -38.96487,174.36037 -38.96514))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1793 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057363-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4xj8v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.571624 -33.128313, 148.571624 -33.132805, 148.567132 -33.132805, 148.567132 -33.13505, 148.564886 -33.13505, 148.564886 -33.139542, 148.567132 -33.139542, 148.567132 -33.141788, 148.569378 -33.141788, 148.569378 -33.139542, 148.573869 -33.139542, 148.573869 -33.128313, 148.571624 -33.128313))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057364-240626123714530/datasets/export for details.
DOI: 10.23719/1531663
title: Pseudo-Probabilistic Framework Demonstration Datasets 2024

description: Raw data sources and link to supplementary demonstration results data.
DOI: 10.23719/1522857
title: Stability and Reactivity of Per- and Polyfluoroalkyl Substances in Solvents Relevant to Environmental and Toxicological Analysis

description: Data belongs to Detlef Knappe's research group at North Carolina State University, as this study was that of PhD students and postdoctoral researches from his laboratory.
DOI: 10.25493/cxnn-71s
title: 3D cyto- and receptor architectonic map of macaque somatosensory area 1 (v1.0)

description: A multimodal analysis of the macaque somatosensory cortex was carried out to create a 3D atlas integrating and reconciling discrepancies between previously published maps. This project involved a quantitative and statistically testable approach to the analysis of cyto-/myeloarchitecture in the macaque monkey somatosensory cortex, in combination with an in vitro quantitative receptor autoradiographic analysis of the regional and laminar distribution patterns of 14 different neurotransmitter receptors. The borders of the identified areas were traced onto the macaque stereotaxic space provided by the MEBRAINS and Yerkes 19 templates.

We provide here for the first time a map of area 1 of the macaque monkey brain integrating cyto-, myelo- and receptor architectonic features in stereotaxic space. It constitutes a valuable resource for the analysis of functional experiments with non-human primates, and provides crucial data for modeling approaches with realistic synaptic dynamics.
DOI: 10.25493/1am1-a4c
title: 3D cyto- and receptor architectonic map of macaque somatosensory area 2 (v1.0)

description: A multimodal analysis of the macaque somatosensory cortex was carried out to create a 3D atlas integrating and reconciling discrepancies between previously published maps. This project involved a quantitative and statistically testable approach to the analysis of cyto-/myeloarchitecture in the macaque monkey somatosensory cortex, in combination with an in vitro quantitative receptor autoradiographic analysis of the regional and laminar distribution patterns of 14 different neurotransmitter receptors. The borders of the identified areas were traced onto the macaque stereotaxic space provided by the MEBRAINS and Yerkes 19 templates.

We provide here for the first time a map of area 2 of the macaque monkey brain integrating cyto-, myelo- and receptor architectonic features in stereotaxic space. It constitutes a valuable resource for the analysis of functional experiments with non-human primates, and provides crucial data for modeling approaches with realistic synaptic dynamics.
DOI: 10.25493/38cb-xe4
title: 3D cyto- and receptor architectonic map of macaque somatosensory area 3al (v1.0)

description: A multimodal analysis of the macaque somatosensory cortex was carried out to create a 3D atlas integrating and reconciling discrepancies between previously published maps. This project involved a quantitative and statistically testable approach to the analysis of cyto-/myeloarchitecture in the macaque monkey somatosensory cortex, in combination with an in vitro quantitative receptor autoradiographic analysis of the regional and laminar distribution patterns of 14 different neurotransmitter receptors. The borders of the identified areas were traced onto the macaque stereotaxic space provided by the MEBRAINS and Yerkes 19 templates.

We provide here for the first time a map of area 3al of the macaque monkey brain integrating cyto-, myelo- and receptor architectonic features in stereotaxic space. It constitutes a valuable resource for the analysis of functional experiments with non-human primates, and provides crucial data for modeling approaches with realistic synaptic dynamics.
DOI: 10.25493/gd1c-wy0
title: 3D cyto- and receptor architectonic map of macaque somatosensory area 3am (v1.0)

description: A multimodal analysis of the macaque somatosensory cortex was carried out to create a 3D atlas integrating and reconciling discrepancies between previously published maps. This project involved a quantitative and statistically testable approach to the analysis of cyto-/myeloarchitecture in the macaque monkey somatosensory cortex, in combination with an in vitro quantitative receptor autoradiographic analysis of the regional and laminar distribution patterns of 14 different neurotransmitter receptors. The borders of the identified areas were traced onto the macaque stereotaxic space provided by the MEBRAINS and Yerkes 19 templates.

We provide here for the first time a map of area 3am of the macaque monkey brain integrating cyto-, myelo- and receptor architectonic features in stereotaxic space. It constitutes a valuable resource for the analysis of functional experiments with non-human primates, and provides crucial data for modeling approaches with realistic synaptic dynamics.