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

description: A dataset listing the 10342 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "StateProvince is Minnesota",
 "Year 2019-2024"
 ]
}

 The dataset's 10342 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005907-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1184/r1/29321561
title: Dataset for <b>Causal parametric language mapping with electrical stimulation </b><b>during awake neurosurgery</b>

description: <b>Abstract:</b> Functional mapping with Direct Electrical Stimulation (DES) is widely used during awake neurosurgery to generate causal evidence about person-specific neuroanatomical organization of cognitive abilities. According to longstanding clinical and scientific orthodoxy, if the application of DES to a given brain region does not result in performance errors, that site is considered to not be involved in the task. Here, we show that DES has systematic effects on performance speed, even on correct trials, that can be predicted using fine-grained measures of when DES starts and stops relative to task processing. This approach, Causal Parametric Mapping, provides a framework for functionally dissociating processing stages in the human brain using reversible causal evidence.
DOI: 10.1184/r1/29321561.v2
title: Dataset for <b>Causal parametric language mapping with electrical stimulation </b><b>during awake neurosurgery</b>

description: <b>Abstract:</b> Functional mapping with Direct Electrical Stimulation (DES) is widely used during awake neurosurgery to generate causal evidence about person-specific neuroanatomical organization of cognitive abilities. According to longstanding clinical and scientific orthodoxy, if the application of DES to a given brain region does not result in performance errors, that site is considered to not be involved in the task. Here, we show that DES has systematic effects on performance speed, even on correct trials, that can be predicted using fine-grained measures of when DES starts and stops relative to task processing. This approach, Causal Parametric Mapping, provides a framework for functionally dissociating processing stages in the human brain using reversible causal evidence.
DOI: 10.1184/r1/29321561.v3
title: Dataset for <b>Causal parametric language mapping with electrical stimulation </b><b>during awake neurosurgery</b>

description: <b>Abstract:</b> Functional mapping with Direct Electrical Stimulation (DES) is widely used during awake neurosurgery to generate causal evidence about person-specific neuroanatomical organization of cognitive abilities. According to longstanding clinical and scientific orthodoxy, if the application of DES to a given brain region does not result in performance errors, that site is considered to not be involved in the task. Here, we show that DES has systematic effects on performance speed, even on correct trials, that can be predicted using fine-grained measures of when DES starts and stops relative to task processing. This approach, Causal Parametric Mapping, provides a framework for functionally dissociating processing stages in the human brain using reversible causal evidence.
DOI: 10.15468/dl.3sphvv
title: Occurrence Download

description: A dataset containing 1270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Passiflora acuminata, Passiflora capparidifolia, Passiflora cerasina, Passiflora chaparensis, Passiflora crenata, Passiflora fernandezii, Passiflora fissurosa, Passiflora gabrielliana, Passiflora gleasonii, Passiflora kapiriensis, Passiflora killipiana, Passiflora laurifolia, Passiflora metae, Passiflora nigradenia, Passiflora nitida, Passiflora pachyantha, Passiflora pergrandis, Passiflora phellos, Passiflora popenovii, Passiflora riparia, Passiflora rufostipulata, Passiflora tolimana, Passiflora venusta, Passiflora ambigua, Passiflora ambigua, Passiflora ambigua)"
 ]
}

 The dataset includes 1270 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005916-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7wft4
title: Occurrence Download

description: A dataset containing 12296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is imr_mareano_grab",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 12296 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005917-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwqap8
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/0005918-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4fug8
title: Occurrence Download

description: A dataset containing 556730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "StateProvince is one of (Goiás, DISTRITO FEDERAL, DF)",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 556730 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005857-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37afjq
title: Occurrence Download

description: A dataset containing 212397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Heracleum mantegazzianum"
 ]
}

 The dataset includes 212397 records from 437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005892-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/0oij6l
title: Herbier Flora selecta exsiccata publié par Ch. MAGNIER (BOUM)

description: Ces Exsiccatas ont été utilisés par Antoine Le Grand pour constituer l'herbier pédagogique dit "Herbier du musée de Bourges", à l'origine conservé au musée du Berry. Cet herbier a été cédé au muséum de Bourges en 1932. La transcription du cartel est donnée (/ : passage à la ligne) pour de nombreuses parts. Les plantes n'ont pas été redéterminées mais la nomenclature a été mise à jour à partir de l'Index de Kerguelen au moment de l'inventaire. Les Exsiccatas ronéotypés sont considérés comme des publications à part entière par le Melbourne Code.
&lt;br&gt;
Inventaire subventionné par le MESRI.
DOI: 10.17026/ls/uupata
title: Replication Data for: Trait-based community assembly in early tropical forest succession

description: Data belonging to the manuscript "Trait-based community assembly in early tropical forest succession" authored by Tomonari Matsuo, Masha T. van der Sande, Lucy Amissah, Jonathan Dabo, Salim Mohammed Abdul, and Lourens Poorter. Published in the Journal of Vegetation Science in 2025.
DOI: 10.34740/kaggle/dsv/11265268
title: Augmented PlantSeg (In-the-Wild)
DOI: 10.17632/yh3cx2nbmv
title: Dataset test

description: Dataset files
DOI: 10.17632/yh3cx2nbmv.1
title: Dataset test

description: Dataset files
DOI: 10.5285/6f8b326e-d1f0-413e-b8ac-472b83c7de5e
title: Diatom taxon abundances at river sites in the Cordillera Blanca region of the Peruvian Andes, 2020

description: This dataset provides diatom taxon abundance data from 11 rivers in the Cordillera Blanca region of the Peruvian Andes. Benthic diatoms were collected from a 9cm2 surface on 5 submerged cobbles at each river site. Diatoms were identified and abundances determined using microscopy methods in the laboratory from each replicate, then averaged across the 5 replicates for each site. Data were collected from 7/05/2020 to 16/05/2020.
description: At each site, benthic diatoms were collected from five submerged cobbles. Using a sterile toothbrush, the benthic biofilm on the upper surface of each cobble was scrubbed from a 9 cm2 area using a miniature quadrat. Organic material was removed using the hot hydrogen peroxide (H2O2) method and replicate samples mounted on individual slides. Diatom valves were identified and counted using light microscopy at x 1000 magnification using phase-contrast illumination (Olympus CX43 microscope). A minimum of 500 diatom valves were identified from each replicate. Where less than 500 valves were present, all valves were counted. To determine estimates of valve density, the number of valves identified within coverslip transects was used to estimate the total number present on the whole coverslip (0.5 mL) and then multiplied to m-2 based on sample volume and rock area (9 cm2) sampled. Abundances were then averaged across the five replicates to mean diatom density (valve m-2) at each site.
DOI: 10.15468/dl.ftsqfk
title: Occurrence Download

description: A dataset containing 178954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepidoptera",
 "Year 1980-2025"
 ]
}

 The dataset includes 178954 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005902-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48510/fk2/mfmndr
title: Direct Compression of Lubricated Mixture of Microcrystalline Cellulose and Calcium Phosphate Dibasic Anhydrous

description: This dataset represents parameters detected and computed during tableting process with compaction simulator (STYL’One Nano; Medelpharm, Beynost, France) and measured properties (thickness, diameter, weight, and hardness) of respective tablets with stand-alone tablet tester (ST50 WTDH; SOTAX AG, Aesch, Switzerland). The dataset compares tablet physico-chemical properties using 6 formulations where ratio of microcrystalline cellulose (MCC; 1.586 g/cm3) and  calcium phosphate dibasic anhydrous (CaHPO4; 2.890 g/cm3) is changed.
description: Alix, 20220711
DOI: 10.57967/hf/7080
title: The_Geometric_Incompleteness_of_Reasoning
DOI: 10.5281/zenodo.17580186
title: Social Media Usage Patterns and Academic Performance Among International Business Students: A Cross-Sectional Study from a Thai University

description: This dataset comprises survey responses from 158 International Business students (73% female, 27% male) at a Thai higher education institute, examining the relationship between social media usage and academic performance. The data captures demographic information (age, gender, nationality, family socioeconomic status), academic metrics (GPA, year of study), and comprehensive social media behavior across 33 platforms, including Facebook, YouTube, Instagram, and TikTok. Key variables include daily usage duration, time-of-day preferences, device types, and platform-specific engagement patterns. With predominantly Myanmar (78%) and Chinese (6%) students representing GPA ranges from below 3.00 to above 3.50, the dataset enables analysis of digital media consumption's impact on academic achievement in international business education.

This project contains the following underlying data:•    Data_.xlsx (Dataset)•    This project contains the following extended data:•    Questionnaire.pdf (Consent form and questionnaire questions)
DOI: 10.5281/zenodo.17701004
title: Social Media Usage Patterns and Academic Performance Among International Business Students: A Cross-Sectional Study from a Thai University

description: This dataset comprises survey responses from 158 International Business students (73% female, 27% male) at a Thai higher education institute, examining the relationship between social media usage and academic performance. The data captures demographic information (age, gender, nationality, family socioeconomic status), academic metrics (GPA, year of study), and comprehensive social media behavior across 33 platforms, including Facebook, YouTube, Instagram, and TikTok. Key variables include daily usage duration, time-of-day preferences, device types, and platform-specific engagement patterns. With predominantly Myanmar (78%) and Chinese (6%) students representing GPA ranges from below 3.00 to above 3.50, the dataset enables analysis of digital media consumption's impact on academic achievement in international business education.

This project contains the following underlying data:•    Data_.xlsx (Dataset)•    This project contains the following extended data:•    Questionnaire.pdf (Consent form and questionnaire questions)
DOI: 10.15468/dl.ppjkcy
title: Occurrence Download

description: A dataset containing 76645665 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 76645665 records from 10299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005884-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14601047
title: Large Chemical Language Models for Property Prediction and High-throughput Screening of Ionic Liquids
DOI: 10.5281/zenodo.14601048
title: Large Chemical Language Models for Property Prediction of Ionic Liquids
DOI: 10.5281/zenodo.14601320
title: Large Chemical Language Models for Property Prediction and High-throughput Screening of Ionic Liquids
DOI: 10.5281/zenodo.15046370
title: Large Chemical Language Models for Property Prediction and High-throughput Screening of Ionic Liquids
DOI: 10.5281/zenodo.15281363
title: Large Chemical Language Models for Property Prediction and High-throughput Screening of Ionic Liquids
DOI: 10.17632/bjhmpjym6x
title: Interoperabilidade entre as Polícias Civis e Militares brasileiras

description: Esse suplemento sobre a pesquisa de interoperabilidade entre as Polícias Civis e Militares do Brasil inclui modelos do questionário usado na pesquisa, os termos de consentimento e de anuência das corporações, os dados coletados e o código de programação em linguagem R.
DOI: 10.17632/bjhmpjym6x.1
title: Interoperabilidade entre as Polícias Civis e Militares brasileiras

description: Esse suplemento sobre a pesquisa de interoperabilidade entre as Polícias Civis e Militares do Brasil inclui modelos do questionário usado na pesquisa, os termos de consentimento e de anuência das corporações, os dados coletados e o código de programação em linguagem R.
DOI: 10.17632/kwm8ym42bp.1
title: Experience of Physical Rehabilitation Among Individuals with Brain Injury: A Scoping Review

description: This scoping review explores the experiences of individuals with brain injury during the course of physical rehabilitation, drawing insights from a diverse range of qualitative studies. Through a thematic synthesis of existing literature, the study aims to identify and analyze how patients perceive and navigate the rehabilitation process. It seeks to uncover recurring themes related to perceived challenges, the effectiveness of interventions, and the emotional and psychological responses that emerge throughout recovery. In doing so, the review addresses notable gaps in the current body of research and highlights areas requiring further scholarly attention. Ultimately, by centering the voices of those directly affected, this study contributes to the advancement of patient-centered rehabilitation practices and offers evidence-informed recommendations for enhancing care delivery contexts.
DOI: 10.15468/dl.p95n9h
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1160.03255 -3.24052,-1160.03363 -3.23297,-1160.03472 -3.22973,-1160.13199 -3.37216,-1160.21522 -3.33872,-1160.27898 -3.3808,-1160.23791 -3.45416,-1160.19792 -3.48006,-1160.18266 -3.54983,-1160.20308 -3.57973,-1160.16632 -3.63545,-1160.12819 -3.68437,-1160.09823 -3.71155,-1159.94843 -3.63001,-1159.84494 -3.79444,-1159.67063 -3.76319,-1159.56033 -3.72786,-1159.42551 -3.53759,-1159.43504 -3.49138,-1159.5576 -3.41254,-1159.70468 -3.36224,-1159.74825 -3.32418,-1159.68833 -3.30379,-1159.60799 -3.11752,-1159.87081 -3.07944,-1160.03255 -3.24052))",
 "HasGeospatialIssue is false",
 "TaxonKey is Orthoptera"
 ]
}

 The dataset includes 138 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003674-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6wycr
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "TaxonKey is Lepus"
 ]
}

 The dataset includes 144 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003675-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14191023
title: GeoLocator Data Package: Migration Route of Swiss Ring Ouzels

description: This GeoLocator Datapackage contains the raw data for 5 multi-sensor geolocators and 4 light-level geolocators data equipped on Alpine Ring Ouzels (Turdus torquatus alpestris) in Switzerland between 2017-2020. The data has been processed using the GeoPressureR package to produce trajectories for the 5 multi-sensor tags. Code can be found on Github Rafnuss/migration-route-of-swiss-ring-ouzels. The raw data has been used in 10.1111/jav.02860
DOI: 10.5281/zenodo.15259763
title: GeoLocator Data Package: Migration Route of Swiss Ring Ouzels

description: This GeoLocator Datapackage contains the raw data for 5 multi-sensor geolocators and 4 light-level geolocators data equipped on Alpine Ring Ouzels (Turdus torquatus alpestris) in Switzerland between 2017-2020. The data has been processed using the GeoPressureR package to produce trajectories for the 5 multi-sensor tags. Code can be found on Github Rafnuss/migration-route-of-swiss-ring-ouzels. The raw data has been used in 10.1111/jav.02860
DOI: 10.34740/kaggle/dsv/13832620
title: Reactor_Protection_System
DOI: 10.34740/kaggle/dsv/13832635
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.pszxfy
title: Occurrence Download

description: A dataset containing 2290 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptobranchus alleganiensis"
 ]
}

 The dataset includes 2290 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003676-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzbw46
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvia pteroura",
 "HasCoordinate is true"
 ]
}

 The dataset includes 154 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003677-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knhtjx
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1160.03255 -3.24052,-1160.03363 -3.23297,-1160.03472 -3.22973,-1160.13199 -3.37216,-1160.21522 -3.33872,-1160.27898 -3.3808,-1160.23791 -3.45416,-1160.19792 -3.48006,-1160.18266 -3.54983,-1160.20308 -3.57973,-1160.16632 -3.63545,-1160.12819 -3.68437,-1160.09823 -3.71155,-1159.94843 -3.63001,-1159.84494 -3.79444,-1159.67063 -3.76319,-1159.56033 -3.72786,-1159.42551 -3.53759,-1159.43504 -3.49138,-1159.5576 -3.41254,-1159.70468 -3.36224,-1159.74825 -3.32418,-1159.68833 -3.30379,-1159.60799 -3.11752,-1159.87081 -3.07944,-1160.03255 -3.24052))",
 "HasGeospatialIssue is false",
 "TaxonKey is Orthoptera"
 ]
}

 The dataset includes 138 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003678-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/xt51k7
title: EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services

description: EgoEMS is a high-fidelity egocentric, multimodal end-to-end dataset designed to advance AI cognitive assistants for Emergency Medical Services (EMS). It captures ~20+ hours of egocentric (head-mounted) video across 233 simulated emergency scenarios with 62 participants (including 46 EMS professionals) performing realistic, protocol-aligned procedures. 

Developed with EMS experts and aligned to national standards, EgoEMS emphasizes field realism, team coordination, responder-patient/bystander dynamics, movement, noise, and variable environments while enabling rigorous, reproducible research.

EgoEMS provides rich annotations for keysteps (actions) performed by responders for activity recognition, speaker diarized timestamped audio transcripts, bounding boxes with labels for selected medical objects, distance sensor data for CPR ground truth used for quality estimation tasks.
DOI: 10.5281/zenodo.17684123
title: Stable But Escapable: Heterogeneous Property Rights Trajectories in Hispanic America

description: Description: This dataset presents a comprehensive analysis of the heterogeneous trajectories of property rights in Spanish civil law countries from 2007 to 2025. The research explores the dynamics of institutional change using empirical models, machine learning, and advanced statistical techniques.

Files:



ReadMe.md (10.36 KB): Detailed documentation of the analysis methodology and structure of the dataset.

SYMBOLIC.ipynb (858.43 KB): Jupyter Notebook containing the code used for analysis, visualizations, and results interpretation.

paper_table2_panel_regressions.csv (317 bytes): CSV file summarizing the panel regression results presented in Paper Table 2.

figure1_temporal_dynamics.png (1.76 MB): Visualization depicting the temporal dynamics of IPRI trajectories across selected countries.

institutional_changes.csv (715 bytes): CSV file detailing the institutional changes observed over the analysis period.

country_trends.csv (1.14 KB): CSV file containing country-specific trends in property rights evaluations.

cluster_membership.csv (2.45 KB): CSV file demonstrating cluster memberships derived from trajectory analysis.

figure4_ml_predictions.png (270.22 KB): Visualization of machine learning predictions of institutional trajectories.

figure2_scatter.png (212.36 KB): Scatter plot illustrating institutional change between 2007 and 2025.

figure3_country_slopes.png (150.73 KB): Bar graph showing country-specific institutional change rates over time.

IPRI- 2007 - 2025 data[25].xlsx (437.20 KB): Excel file with the underlying dataset used for the analysis, spanning the years 2007 to 2025.


Keywords: Property Rights, Institutional Change, Time Trends, Machine Learning, Econometrics, Spanish Civil Law

Licenses: Creative Commons Attribution 4.0 International

Funding: None