cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8srkpz52dy.2
title: Ar-PlaqSegm1: First Argentine database of B-mode ultrasound images for atherosclerotic plaque segmentation

description: This is an Argentinian B-mode ultrasound image database designed for the automatic segmentation of atherosclerotic plaques. This database is intended to promote reproducibility and collaborative research, particularly in the field of deep learning, by providing a set of images that represent real-world clinical scenarios.
The database consists of 541 pairs of ultrasound images (each measuring 800x800 pixels). Each image is accompanied by its corresponding binary segmentation mask, which has been validated by medical specialists. The pairs were split into a Test set (48 pairs, 9%) and a Training set (493 pairs, 91%)
The collection’s key feature is its diversity, which aims to overcome limitations found in other datasets:
Content: 201 pairs contain no visible plaques, while 340 pairs show the presence of one or more plaques.
Size and Location: The images have large dimensions and include cases with multiple plaques and plaques that are not centrally located.
Format: The final output of the preprocessing pipeline provides monochrome input images and binary output images (masks), both at 800x800 pixels.

Methods and Protocols
The study protocol was approved by the Institutional Independent Ethics Committee (IIEC) of the National University of Córdoba and the Rusculleda Foundation.
Images were collected by two physicians experienced in the manual delineation of plaques at the Centro Privado Blossom DMO in Córdoba, Argentina.
The study included a middle-aged to elderly cohort (57% male, 43% female) presenting with mild, moderate, or severe atherosclerosis within the context of both primary and secondary prevention. The clinical profile of the participants included hypertension in 35% of the cases (mean blood pressure ~124/72 mmHg), hypercholesterolemia in 27% (with overall dyslipidemia reaching up to 84.6%), and diabetes in 14% (mean HbA1c: 5.8–6.1%). Renal function varied, with estimated glomerular filtration rates (eGFR) ranging from 20 to 100. Furthermore, the cohort exhibited a Framingham risk score &gt; 15%, indicative of subclinical atherosclerosis risk.
Inclusion criteria comprised ultrasound images exhibiting either the absence or presence of arterosclerotic plaques, where the latter was defined as having awhere the vascular wall thickness greater than 1 mm.
Ground truth for plaque boundaries was established through manual delineation by the expert physicians on the original images (using yellow dots and green stripes).


Instruments: Two B-mode ultrasound devices from Esaote and Vinno were used for image acquisition.
Initial Data Acquired:
26 image pairs in DICOM format (initial size 800x600 pixels).
515 image pairs in PNG format (initial size 1200x900 pixels).
DOI: 10.13018/bmr4204
title: Three-Dimensional Structure of Human Insulin-Like Growth Factor-I (IGF-I) Determined by 1H-NMR and Distance Geometry
DOI: 10.13018/bmr4205
title: Structure of the Ets-1 Pointed Domain and Mitogen-activiated Protein Kinase Phosphorylation Site.
DOI: 10.13018/bmr4206
title: Solution NMR Structure of Linked Cell Attachment Modules of Mouse Fibronectin Containing the RGD and Synergy Regions, 20 Structures
DOI: 10.13018/bmr4207
title: CRO Repressor Insertion Mutant K56-[DGEVK]
DOI: 10.17632/skckwr7hy6
title: Investigating the Relationship Between Self-Confidence and Success Through Biosignals

description: This dataset was created to analyze the behavioral, physiological, and neurophysiological responses resulting from changes in individuals' self-confidence levels through suggestion. The primary aim of the study is to experimentally examine the effects of overconfidence on success and to reveal how changes in self-confidence are reflected in cognitive processes.

A total of 34 participants took part in three different suggestion phases: neutral, negative, and positive.

In the neutral phase, participants’ baseline self-confidence levels were measured.

In the negative phase, self-confidence was deliberately reduced.

In the positive phase, self-confidence was enhanced.

During each phase, participants completed computer-based cognitive tests, puzzle tasks, and scenario-based decision-making tests. Throughout the process, neurophysiological and physiological signals such as EEG, BVP, EDA, and accelerometer data were recorded in synchronization with the tasks.
Additionally, task performance data — including the number of correct and incorrect responses, total scores, and scenario-based choices — were collected.

The dataset is organized into the following subfolders:

eeg/ – EEG signals (.csv format)

watch/ – Physiological signals (BVP, EDA, and accelerometer data) (.csv format)

statistics/ – Task and test results for each participant:

Game files: Scores, reaction times, and correct/incorrect counts for five computer-based games and one puzzle task (e.g., game_neutral.csv, game_negative.csv, game_positive.csv).

Scenario, Scale, and General Ability files (.xlsx): Decision-making test data, confidence scale results, and general ability tests for each suggestion phase (e.g., Neutral.xlsx, Negative.xlsx, Positive.xlsx).

video_data/ – Facial expression data segmented into five-second intervals and stored in PNG format. Available only for two participants (SID0023, SID0024) due to consent restrictions. Subfolders are organized by phase (neutral/, negative/, positive/). Filenames specify participant ID and frame number (e.g., S023_313.png). These frames enable the integration of visual features (e.g., facial action units, micro-expressions) with concurrent physiological and EEG data.

This dataset is intended for researchers in psychology, neuroscience, and artificial intelligence who wish to explore the relationship between self-confidence and success through multimodal data.

All data have been anonymized, and personal information has been kept confidential. The study was conducted with the approval of the Ethics Committee of Istanbul Kültür University.
DOI: 10.13018/bmr4208
title: The Y64A Mutant of Cytochrome c553 from Desulfovibrio vulgaris Hildenborough
DOI: 10.15468/dl.c4ygqt
title: Occurrence Download

description: A dataset containing 881449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cameroon",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aves, Insecta, Plantae)"
 ]
}

 The dataset includes 881449 records from 750 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002666-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13018/bmr4209
title: Solution NMR structures of the major coat protein of filamentous bacteriophage M13 solubilized in Dodecyl Phosphocholine micelles, 25 lowest energy structures
DOI: 10.17632/skckwr7hy6.6
title: Investigating the Relationship Between Self-Confidence and Success Through Biosignals

description: This dataset was created to analyze the behavioral, physiological, and neurophysiological responses resulting from changes in individuals' self-confidence levels through suggestion. The primary aim of the study is to experimentally examine the effects of overconfidence on success and to reveal how changes in self-confidence are reflected in cognitive processes.

A total of 34 participants took part in three different suggestion phases: neutral, negative, and positive.

In the neutral phase, participants’ baseline self-confidence levels were measured.

In the negative phase, self-confidence was deliberately reduced.

In the positive phase, self-confidence was enhanced.

During each phase, participants completed computer-based cognitive tests, puzzle tasks, and scenario-based decision-making tests. Throughout the process, neurophysiological and physiological signals such as EEG, BVP, EDA, and accelerometer data were recorded in synchronization with the tasks.
Additionally, task performance data — including the number of correct and incorrect responses, total scores, and scenario-based choices — were collected.

The dataset is organized into the following subfolders:

eeg/ – EEG signals (.csv format)

watch/ – Physiological signals (BVP, EDA, and accelerometer data) (.csv format)

statistics/ – Task and test results for each participant:

Game files: Scores, reaction times, and correct/incorrect counts for five computer-based games and one puzzle task (e.g., game_neutral.csv, game_negative.csv, game_positive.csv).

Scenario, Scale, and General Ability files (.xlsx): Decision-making test data, confidence scale results, and general ability tests for each suggestion phase (e.g., Neutral.xlsx, Negative.xlsx, Positive.xlsx).

video_data/ – Facial expression data segmented into five-second intervals and stored in PNG format. Available only for two participants (SID0023, SID0024) due to consent restrictions. Subfolders are organized by phase (neutral/, negative/, positive/). Filenames specify participant ID and frame number (e.g., S023_313.png). These frames enable the integration of visual features (e.g., facial action units, micro-expressions) with concurrent physiological and EEG data.

This dataset is intended for researchers in psychology, neuroscience, and artificial intelligence who wish to explore the relationship between self-confidence and success through multimodal data.

All data have been anonymized, and personal information has been kept confidential. The study was conducted with the approval of the Ethics Committee of Istanbul Kültür University.
DOI: 10.13018/bmr4210
title: DNA-binding domain of human telomeric protein, hTRF1
DOI: 10.13018/bmr4211
title: Ragweed pollen allergen from Ambrosia trifida V
DOI: 10.17632/2vyv7vwypr
title: Replication repository for Patents that match your standards: Firm-level Evidence on Competition and Innovation

description: Replication repository for Patents that match your standards: Firm-level Evidence on Competition and Innovation, Journal of Financial Economics
DOI: 10.13018/bmr4212
title: Synthetic peptide corresponding to the major immunogen site of FMD virus
DOI: 10.17632/2vyv7vwypr.1
title: Replication repository for Patents that match your standards: Firm-level Evidence on Competition and Innovation

description: Replication repository for Patents that match your standards: Firm-level Evidence on Competition and Innovation, Journal of Financial Economics
DOI: 10.13018/bmr4213
title: Retro-inverso analogue of G-H loop of VP1 in FMD virus
DOI: 10.13018/bmr4214
title: N-terminal Domain of Tissue Inhibitor of Metalloproteinase-2 (N-TIMP-2)
DOI: 10.17632/8j69vw5k8y
title: Modification of the Madeira River morphology following large hydropower projects detected by satellite data

description: Suspended Sediment Concentration in the Madeira River estimated from MODIS sensor data
DOI: 10.17632/8j69vw5k8y.1
title: Modification of the Madeira River morphology following large hydropower projects detected by satellite data

description: Suspended Sediment Concentration in the Madeira River estimated from MODIS sensor data
DOI: 10.13018/bmr4215
title: Staphylokinase (NMR, Sakstar Variant)
DOI: 10.13018/bmr4216
title: Structure of Transcriptional Activation Domain of CRE-BP1/ATF-2
DOI: 10.17632/ddwk6p58x3
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 1 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.13018/bmr4217
title: The 3D structure of the streptomyces metalloproteinase inhibitor, SMPI, isolated from streptomyces nigrescens TK-23
DOI: 10.15468/dl.67te5r
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "TaxonKey is Resedaceae"
 ]
}

 The dataset includes 32 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002763-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ddwk6p58x3.1
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 1 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.13018/bmr4218
title: Solution structure of toxin 2 from centruroides noxius hoffmann,a beta scorpion neurotoxin acting on sodium channels
DOI: 10.13018/bmr4219
title: Effects of Glycosylation on the Structure and Dynamics of Eel Calcitonin
DOI: 10.17632/27zpkn37dx
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 2 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.17632/27zpkn37dx.1
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 2 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.13018/bmr4220
title: HIV-1 capsid protein major homology region peptide analog
DOI: 10.13018/bmr4221
title: Solution Structures of Human Immunodeficiency Virus Type 1 (HIV-1) and Moloney Murine Leukemia Virus (MoMLV) Capsid Protein Major Homology Region Peptide Analogs by NMR Spectroscopy
DOI: 10.13018/bmr4222
title: High-Resolution Solution Structure of a Sweet Protein Single-Chain Monellin(SCM) determined by Nuclear Magnetic Resonance Spectroscopy and Dynamical Simulated Annealing Calculations
DOI: 10.17632/kpcyrchvtf
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 3 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.13018/bmr4223
title: Solution Structure of a TBP-TAFII230 Complex: Protein Mimicry of the Minor Groove Surface of the TATA Box Unwound by TBP
DOI: 10.15468/dl.g7tt6y
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "TaxonKey is Capparaceae"
 ]
}

 The dataset includes 161 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002764-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kpcyrchvtf.1
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 3 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.13018/bmr4224
title: Solution Structure of Myotrophin
DOI: 10.13018/bmr4225
title: NMR structure of Escherichia coli glutaredoxin3-glutathione mixed disulfide complex
DOI: 10.17632/7ph7pj7t9h
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 4 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.13018/bmr4226
title: The Lead-Dependent Ribozyme
DOI: 10.17632/7ph7pj7t9h.1
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 4 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.13018/bmr4227
title: NMR structures (20) of the J-domain (residues 1-77) of the Escherichia coli N-terminal fragment (residues 1-78) of the Molecular Chaperone DNAJ
DOI: 10.13018/bmr4228
title: NMR structures (20) of the J-Domain (residues 1-77) of the Escherichia coli n-terminal fragment (residues 1-104) of the molecular chaperone DNAJ
DOI: 10.17632/7k75y683s4
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 5 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.13018/bmr4229
title: Artificial Fe8S8 ferredoxin: the D13C variant of Bacillus schlegelii Fe7S8 ferredoxin
DOI: 10.13018/bmr4230
title: Solution Structure of delta-5-3-Ketosteroid Isomerase Complexed with the Steroid 19-Nortestosterone- Hemisuccinate
DOI: 10.17632/7k75y683s4.1
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 5 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.13018/bmr4231
title: Artificial Fe8S8 ferredoxin: the D13C variant of Bacillus schlegelii Fe7S8 ferredoxin
DOI: 10.13018/bmr4232
title: N-Domain of Troponin C from Chicken Skeletal Muscle.
DOI: 10.13018/bmr4233
title: 1H Chemical Shift Assignments for Omega-Atracotoxin-Hv1a
DOI: 10.17632/hh9946twc4
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 6 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.13018/bmr4234
title: 1H Chemical Shift Assignments for Delta-Atracotoxin-Hv1 (Versutoxin)
DOI: 10.17632/hh9946twc4.1
title: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation; Niekamp et al., part 6 of 8

description: This project is described in: Mutual Antagonism Between PRC1 Condensates and SWI/SNF in Chromatin Regulation (2025) and can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2025.08.25.672128v1 
Here, we provide the experimental data together with the custom python code and ImageJ macros used for data analysis. 
This is part 1 of 8. 
Part 1: Data for Figure 1, S1, 6, S6, 7, and S7 
Part 2: Data for Figure 2 and S2
Part 3: Data for Figure 3 and S3 
Part 4: Data for Figure 3
Part 5: Data for Figure 4, S4, and S5
Part 6: Data for Figure 5 and S5
Part 7: Data for Figure S5
Part 8: Data for Figure S5
DOI: 10.15468/dl.3hpnkb
title: Occurrence Download

description: A dataset containing 63701 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus hybridus"
 ]
}

 The dataset includes 63701 records from 1298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002691-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.