cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6buqcn
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atholus coelestis"
 ]
}

 The dataset includes 185 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006413-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qedr8e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-119.7119 35.19069, -119.7103 35.19196, -119.7128 35.19456, -119.7152 35.19318, -119.7119 35.19069))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006414-251120083545085/datasets/export for details.
DOI: 10.35097/q90rgb44690qxqew
title: NRW sports school project 2013/2014

description: On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Centre for School Sports and the Physical Education of Children and Young Adults. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
description: Cross-section
description: Measurement/Test
description: Type of Study Cross-section
description: Data Collection Procedure Measurement/Test
DOI: 10.35097/xabyzkah9geraz2n
title: NRW sports school project 2014/2015

description: On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Center for Physical Education and Sports of Children and Young People. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
description: Cross-section
description: Measurement/Test
description: Type of Study Cross-section
description: Data Collection Procedure Measurement/Test
DOI: 10.6084/m9.figshare.29146082
title: MARA: A Malware Analysis Reasoning Agent for Interpretable Android Malware Detection

description: <b>MARA</b> is a next-generation Android malware detection framework that transforms fragmented static and behavioral signals into coherent, human-understandable malicious behavior chains. Unlike traditional black-box detectors or feature-centric learning models, MARA treats malware detection as a <b>behavior-centric reasoning problem</b>, powered by structured perception and multi-stage LLM reasoning.MARA introduces a unified <i>perception–reasoning–action</i> pipeline that enables transparent, explainable, and semantically grounded Android malware analysis, offering both high detection accuracy and strong interpretability.🔍 <b>Key Features</b><b>1. Behavior-Centric Evidence Structuring (BCES)</b>MARA reorganizes heterogeneous Android artifacts—permissions, API calls, components, ICC flows, and lightweight runtime signals—into a <b>structured, behavior-oriented evidence space</b>.<br>This design eliminates semantic fragmentation and exposes hidden relationships across signals such as:<br><br>sensitive permission + data-access APIexported component + privilege operationbackground tasks + network exfiltrationBCES builds the foundation for coherent, chain-based reasoning.<b>2. Multi-Stage Behavior Reasoning (BCMR)</b>Instead of producing a single-pass prediction, MARA performs <b>progressive reasoning</b> using an LLM:<b>Stage 1 — Initial Inspection</b><br>Identify suspicious behaviors at the evidence-block level.<b>Stage 2 — Context Enrichment</b><br>Infer missing or implicit cross-block relationships.<b>Stage 3 — Behavior-Chain Construction</b><br>Reconstruct the complete malicious behavior chain and make the final decision.This staged reasoning design enforces explicit, causal, and verifiable analysis—far more transparent than standard CoT or one-shot LLM inference.<b>3. Explanation-Based Detection</b>MARA outputs both:<b>a final malware/benign decision</b>, and<b>a behavior-grounded explanation</b> that mirrors its actual reasoning trajectoryThis ensures high interpretability and eliminates the problem of post-hoc “fabricated explanations” common in LLM detectors.📊 <b>Performance Highlights</b>Across benchmark datasets (Drebin, AMD, CICMalDroid), MARA delivers:<b>97.3% accuracy</b> on Drebin<b>96.4% accuracy</b> on AMD<b>94.7% accuracy</b> on CICMalDroid<b>Highest explanation quality</b> across clarity, semantic relevance, justification, and behavior-chain fidelity<b>Strong robustness</b> under obfuscation (renaming, packing, encryption)MARA consistently outperforms traditional static detectors, deep learning fusion models, and recent LLM-based malware analysis frameworks.🛡️ <b>Robustness to Obfuscation</b>MARA’s behavior-centric design allows it to remain stable under:symbol renamingstring/code encryptionDEX packingNOP insertionAccuracy degradation is <b>2.5–4.0%</b>, significantly lower than existing baselines (5–10%).
DOI: 10.6084/m9.figshare.29146082.v6
title: MARA: A Malware Analysis Reasoning Agent for Interpretable Android Malware Detection

description: <b>MARA</b> is a next-generation Android malware detection framework that transforms fragmented static and behavioral signals into coherent, human-understandable malicious behavior chains. Unlike traditional black-box detectors or feature-centric learning models, MARA treats malware detection as a <b>behavior-centric reasoning problem</b>, powered by structured perception and multi-stage LLM reasoning.MARA introduces a unified <i>perception–reasoning–action</i> pipeline that enables transparent, explainable, and semantically grounded Android malware analysis, offering both high detection accuracy and strong interpretability.🔍 <b>Key Features</b><b>1. Behavior-Centric Evidence Structuring (BCES)</b>MARA reorganizes heterogeneous Android artifacts—permissions, API calls, components, ICC flows, and lightweight runtime signals—into a <b>structured, behavior-oriented evidence space</b>.<br>This design eliminates semantic fragmentation and exposes hidden relationships across signals such as:<br><br>sensitive permission + data-access APIexported component + privilege operationbackground tasks + network exfiltrationBCES builds the foundation for coherent, chain-based reasoning.<b>2. Multi-Stage Behavior Reasoning (BCMR)</b>Instead of producing a single-pass prediction, MARA performs <b>progressive reasoning</b> using an LLM:<b>Stage 1 — Initial Inspection</b><br>Identify suspicious behaviors at the evidence-block level.<b>Stage 2 — Context Enrichment</b><br>Infer missing or implicit cross-block relationships.<b>Stage 3 — Behavior-Chain Construction</b><br>Reconstruct the complete malicious behavior chain and make the final decision.This staged reasoning design enforces explicit, causal, and verifiable analysis—far more transparent than standard CoT or one-shot LLM inference.<b>3. Explanation-Based Detection</b>MARA outputs both:<b>a final malware/benign decision</b>, and<b>a behavior-grounded explanation</b> that mirrors its actual reasoning trajectoryThis ensures high interpretability and eliminates the problem of post-hoc “fabricated explanations” common in LLM detectors.📊 <b>Performance Highlights</b>Across benchmark datasets (Drebin, AMD, CICMalDroid), MARA delivers:<b>97.3% accuracy</b> on Drebin<b>96.4% accuracy</b> on AMD<b>94.7% accuracy</b> on CICMalDroid<b>Highest explanation quality</b> across clarity, semantic relevance, justification, and behavior-chain fidelity<b>Strong robustness</b> under obfuscation (renaming, packing, encryption)MARA consistently outperforms traditional static detectors, deep learning fusion models, and recent LLM-based malware analysis frameworks.🛡️ <b>Robustness to Obfuscation</b>MARA’s behavior-centric design allows it to remain stable under:symbol renamingstring/code encryptionDEX packingNOP insertionAccuracy degradation is <b>2.5–4.0%</b>, significantly lower than existing baselines (5–10%).
DOI: 10.6084/m9.figshare.29146082.v5
title: FEAMDA: Fusion-based Explainable Android Malware Detection Agent with LLM Support

description: <b>FEAMDA: Fusion-based Explainable Android Malware Detection Agent with LLM Support</b> is a unified malware detection framework designed to enhance detection accuracy and interpretability by leveraging multi-modal static features and large language model (LLM)-driven reasoning.Unlike traditional detection systems that treat static code representations independently or rely on opaque deep learning models, <b>FEAMDA</b> introduces a novel <b>cross-modal fusion strategy</b>. It combines:<b>Low-level grayscale images</b> derived from DEX bytecode, which capture structural patterns (e.g., entropy, packing, code density);<b>High-level behavioral features</b> such as API call sequences and permissions, which encode the app's semantic intent.To bridge the semantic gap between these heterogeneous features, <b>FEAMDA</b> employs a <b>feature textualization approach</b>, transforming both modalities into structured natural language prompts. These prompts are processed by an LLM (e.g., DeepSeek or GPT-4o), which performs both classification and explainable reasoning.Empirical results on benchmark datasets (Drebin, AMD) demonstrate that <b>FEAMDA</b> achieves:<b>State-of-the-art detection accuracy</b> (up to 95.4%);<b>High interpretability</b> through natural language explanations (AOR &gt; 4.3);<b>Strong robustness</b> under various obfuscation techniques including symbol renaming, DEX packing, and code encryption.<b>FEAMDA</b> represents a shift from traditional black-box malware detection toward <b>LLM-augmented, semantically transparent</b> analysis agents, offering practical implications for next-generation mobile threat defense.
DOI: 10.15468/dl.spfkrz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-119.6737 35.16108, -119.6712 35.1627, -119.6741 35.1649, -119.6768 35.16316, -119.6737 35.16108))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006417-251120083545085/datasets/export for details.
DOI: 10.15468/dl.p8nq6u
title: Occurrence Download

description: A dataset containing 853867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-09-29",
 "EventDate is less than or equal to 2025-10-29",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 853867 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006405-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptx5c3
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Strabomantis necerus"
 ]
}

 The dataset includes 63 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006419-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35097/84cjq36eq9zw2nje
title: NRW sports school project 2015/2016

description: On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Center for Physical Education and Sports of Children and Young People. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
description: Cross-section
description: Measurement/Test
description: Type of Study Cross-section
description: Data Collection Procedure Measurement/Test
DOI: 10.15468/dl.v2dkgc
title: Occurrence Download

description: A dataset containing 6957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.036 43.404,-5.963 43.404,-5.963 43.495,-6.036 43.495,-6.036 43.404))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6957 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006420-251120083545085/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.30657737
title: 3D live confocal image of live tissue previously passed through a sieve, from Myosin 1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG </sup>Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mouse

description: Raw 3D confocal imaging data of podocyte membranes from manually sieved and resuspended renal tissue from a Myo1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG</sup> Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mouse. Tissue from Myo1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG</sup> Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mice exhibits membrane localized EGFP in podocytes and membrane localized tdTomato across all other cell types. This image is focuses on a isolated glomerulus neighboring a large section of renal tissue.
DOI: 10.6084/m9.figshare.30657737.v1
title: 3D live confocal image of live tissue previously passed through a sieve, from Myosin 1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG </sup>Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mouse

description: Raw 3D confocal imaging data of podocyte membranes from manually sieved and resuspended renal tissue from a Myo1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG</sup> Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mouse. Tissue from Myo1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG</sup> Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mice exhibits membrane localized EGFP in podocytes and membrane localized tdTomato across all other cell types. This image is focuses on a isolated glomerulus neighboring a large section of renal tissue.
DOI: 10.15468/dl.mf9wds
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample)",
 "TaxonKey is Sterechinus neumayeri",
 "Year 1997-2023"
 ]
}

 The dataset includes 361 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006421-251120083545085/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.30657704
title: 3D confocal imaging data of podocyte membranes from manually sectioned renal tissue from a Myosin 1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG</sup> Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mouse.

description: Raw 3D confocal imaging data of podocyte membranes from manually sectioned renal tissue from a Myo1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG</sup> Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mouse. Tissue from Myo1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG</sup> Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mice exhibits membrane localized EGFP in podocytes and membrane localized tdTomato across all other cell types. The tissue in this image was bisectioned and subsequently sectioned into several smaller tissue sections.
DOI: 10.6084/m9.figshare.30657704.v1
title: 3D confocal imaging data of podocyte membranes from manually sectioned renal tissue from a Myosin 1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG</sup> Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mouse.

description: Raw 3D confocal imaging data of podocyte membranes from manually sectioned renal tissue from a Myo1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG</sup> Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mouse. Tissue from Myo1e <sup>+/</sup><sup>Flox</sup> ROSA <sup>+/</sup><sup>mTmG</sup> Podocin-Cre <sup>+/</sup><sup>Tg</sup> transgenic mice exhibits membrane localized EGFP in podocytes and membrane localized tdTomato across all other cell types. The tissue in this image was bisectioned and subsequently sectioned into several smaller tissue sections.
DOI: 10.15468/dl.3zrjky
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "TaxonKey is Eunectes murinus"
 ]
}

 The dataset includes 84 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006423-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26022/ieda/112993
title: Clumped isotope-based bottom water temperature record west off-shore Tasmania from 16 to 5 Ma

description: This dataset contains D47, d18O and d13C data from the middle Miocene section of ODP Site 761B, using 7 species of benthic foraminifera to generate a temperature record for comparison with published Mg/Ca temperatures. Replicate-level raw data is provided to allow for reprocessing of the data.
description: Suning Hou, Lennert Stap, Ryan Paul, Mei Nelissen, Frida Hoem, Martin Ziegler, Appy Sluijs, Francesca Sangiorgi, Peter Bijl, 2023, Reconciling Southern Ocean fronts equatorward migration with minor Antarctic ice volume change during Miocene cooling, Nature Communications
DOI: 10.15468/dl.ksyx9c
title: Occurrence Download

description: A dataset containing 12939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Ursus americanus"
 ]
}

 The dataset includes 12939 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006426-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35097/cmu27xac7m7xyb8j
title: NRW sports school project 2016/2017

description: On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Center for Physical Education and Sports of Children and Young People. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
description: Cross-section
description: Measurement/Test
description: Type of Study Cross-section
description: Data Collection Procedure Measurement/Test
DOI: 10.35097/m165ffr87qq0v9x6
title: NRW sports school project 2018/2019

description: On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Center for Physical Education and Sports of Children and Young People. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
description: Cross-section
description: Measurement/Test
description: Type of Study Cross-section
description: Data Collection Procedure Measurement/Test
DOI: 10.5281/zenodo.17700043
title: PHITS simulation data for Cold moderator Optimization

description: This dataset was collected for the design of a dedicated low-frequency target station for neutron-scattering experiments under very high pulsed magnetic fields.

A scientific publication based on this dataset is currently in preparation.

The dataset contains simulations for three Target–Moderator–Reflector (TMR) geometries, namely Flat, Framed Flat, and Inverted, using the European Spallation Source (ESS) 2 GeV proton beam. The data focuses on moderator cross-section optimization. All files are provided in pickle (.pkl) format and are fully readable with Python.
DOI: 10.35097/9d2d3gwmsbv3arvu
title: NRW sports school project 2019/2020

description: On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Center for Physical Education and Sports of Children and Young People. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
description: Cross-section
description: Measurement/Test
description: Type of Study Cross-section
description: Data Collection Procedure Measurement/Test
DOI: 10.15468/dl.ctaex3
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phenacoccus piceae"
 ]
}

 The dataset includes 75 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006428-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.