cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15511426
title: Forest Inspection Dataset - Sunny sequences

description: This dataset provides high-resolution RGB images and corresponding pixel-level semantic segmentation labels generated from a photorealistic virtual forest environment in Unreal Engine 4. Designed for UAV-based monitoring, the dataset captures diverse forest elements (deciduous trees, coniferous trees, fallen trees, ground vegetation) under varied altitudes and pitch angles to simulate real surveillance missions. It includes 11 semantic classes and supports tasks such as semantic segmentation, deforestation analysis, and forest canopy mapping. Metadata on camera poses is included for advanced spatial tasks.

This version contains the Sunny scenario sequences.
DOI: 10.5281/zenodo.15511425
title: Forest Inspection Dataset - Sunny sequences

description: This dataset provides high-resolution RGB images and corresponding pixel-level semantic segmentation labels generated from a photorealistic virtual forest environment in Unreal Engine 4. Designed for UAV-based monitoring, the dataset captures diverse forest elements (deciduous trees, coniferous trees, fallen trees, ground vegetation) under varied altitudes and pitch angles to simulate real surveillance missions. It includes 11 semantic classes and supports tasks such as semantic segmentation, deforestation analysis, and forest canopy mapping. Metadata on camera poses is included for advanced spatial tasks.

This version contains the Sunny scenario sequences.
DOI: 10.34740/kaggle/dsv/14129818
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.57932/853b63f5-7816-481e-8e12-7b1f2f7f08e2
title: PhenoStras2022: an urban tree phenology dataset

description: The PhenoStras2022 dataset was collected throughout the year 2022 across 40 green sites located within the urban area of Strasbourg (France) using a smartphone camera (Samsung SM-A528B/DS – 64 MP). Two types of photographic acquisitions were performed: Digital Hemispherical Photographs (DHP), captured using a removable 180° fisheye lens, and Front-View Photographs (FVP), taken with the smartphone's standard sensor. These image-based observations were complemented by site-level phenological monitoring using a simplified BBCH scale, providing field-based annotations of key developmental stages of urban trees across the whole season.
DOI: 10.15468/dl.2cwvzp
title: Occurrence Download

description: A dataset containing 2481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Crax alberti"
 ]
}

 The dataset includes 2481 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049654-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.11663.24481
title: Estudo com base no questionário sobre hábitos e preferências de estudantes universitários
DOI: 10.15468/dl.dquvap
title: Occurrence Download

description: A dataset containing 14662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cynopterus brachyotis, Cynopterus horsfieldii, Cynopterus sphinx, Dacnomys millardi, Dendrogale murina, Diomys crumpi, Dremomys gularis, Dremomys lokriah, Dremomys pernyi, Dremomys pyrrhomerus, Dremomys rufigenis, Dyacopterus spadiceus, Echinosorex gymnura, Elaphodus cephalophus, Elephas maximus, Emballonura monticola, Eoglaucomys fimbriatus, Eonycteris spelaea, Eospalax fontanierii, Eospalax rothschildi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 14662 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049653-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48688/5eq5-q428
title: COVID 19 clinical data from the University of Western Australia/Fiona Stanley Hospital.
title: IDDO_CVPPNSH

description: Clinical data from patients hospitalised with COVID19 from the University of Western Australia/Fiona Stanley Hospital, shared as a part of the ISARIC Clinical Characterisation Group collaboration.
DOI: 10.17026/ar/a1su56
title: PAN-00108154 - coin/coin-related, Tetricus I (271-274), naar, antoninianus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00108154&lt;/p&gt;
description: Modified: 2025-06-17T07:40:35+02:00
DOI: 10.15468/dl.fvrgwp
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Ireland",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-8.65676 54.81541,-10.10892 54.17824,-10.20573 52.46296,-10.72205 51.66947,-9.52806 51.34812,-7.46277 52.00843,-5.97835 52.10764,-5.88154 53.85592,-5.30067 54.68504,-6.65602 55.49757,-7.97909 55.35106,-8.65676 54.81541))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vulpes vulpes",
 "Year 2000-2025"
 ]
}

 The dataset includes 207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049655-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-zrd-abtz
title: PAN-00116467 - terra sigillata goblet type Drag. 11

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00116467&lt;/p&gt;
description: Modified: 2025-09-22T13:20:02+02:00
DOI: 10.15468/dl.nkxhur
title: Occurrence Download

description: A dataset containing 95329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Month is January",
 "TaxonKey is Vanellus vanellus"
 ]
}

 The dataset includes 95329 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049619-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25740/cs829jn7849
title: SEDA 5.0

description: The Stanford Education Data Archive (SEDA) is an initiative aimed at harnessing data to help researchers, policymakers, educators, and parents learn how to improve educational opportunity for all children. SEDA is publicly available and includes measures of academic achievement, racial and socioeconomic composition and segregation, and other features of the schooling system. These data can be used to generate evidence about what policies and contexts are most effective at increasing educational opportunity. 

 

SEDA 5.0 was published in March 2024 and is the latest release of the main SEDA data. The archive includes a range of detailed data on educational conditions, contexts, and outcomes in schools and school districts across the United States from 2009 to 2019. It includes data at a range of institutional and geographic levels of aggregation, including schools, districts, counties, commuting zones, metropolitan areas, and states. It includes measures of academic achievement, achievement gaps, school and neighborhood racial and socioeconomic composition, school and neighborhood racial and socioeconomic segregation patterns, and other features of the schooling system.  

DATA USE AGREEMENT: 

 

You agree not to use the data sets for commercial advantage, or in the course of for-profit activities. Commercial entities wishing to use this Service should contact Stanford University’s Office of Technology Licensing (info@otlmail.stanford.edu). 

You agree that you will not use these data to identify or to otherwise infringe the privacy or confidentiality rights of individuals. 

 

THE DATA SETS ARE PROVIDED “AS IS” AND STANFORD MAKES NO REPRESENTATIONS AND EXTENDS NO WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED. STANFORD SHALL NOT BE LIABLE FOR ANY CLAIMS OR DAMAGES WITH RESPECT TO ANY LOSS OR OTHER CLAIM BY YOU OR ANY THIRD PARTY ON ACCOUNT OF, OR ARISING FROM THE USE OF THE DATA SETS. 

 

You agree that this Agreement and any dispute arising under it is governed by the laws of the State of California of the United States of America, applicable to agreements negotiated, executed, and performed within California. 

 

You agree to acknowledge the Stanford Education Data Archive as the source of these data. In publications, please cite the data as: 

 

Reardon, S. F., Ho, A. D., Shear, B. R., Fahle, E. M., Kalogrides, D., Saliba, J. (2024). Stanford Education Data Archive (Version 5.0). [https://purl.stanford.edu/cs829jn7849] [https://doi.org/10.25740/cs829jn7849] 

 

Subject to your compliance with the terms and conditions set forth in this Agreement, Stanford grants you a revocable, non-exclusive, non-transferable right to access and make use of the Data Sets.
DOI: 10.15468/dl.qx8uhm
title: Occurrence Download

description: A dataset containing 131566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lithobates catesbeianus, Xenopus laevis)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 5000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 131566 records from 263 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049631-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/b8nt-6e10
title: "APURE - video of pupil response after audio stimulation"

description: "Pupil size was continuously monitored using Pupil Core eye-tracking glasses (Pupil Labs GmbH, Berlin, Germany), which connected to a laptop via USB. The system includes two infrared (IR) cameras for real-time eye imaging and a visible light camera on the front bar to capture the field of view.Recorded videos were analyzed using the Pupil Player software provided by the manufacturer. This software detects pupil shape and computes pupil diameter in pixels, employing a 3D eyeball model to correct for perspective distortion. Each measurement is assigned a confidence score (range: 0 to 1) reflecting the reliability of the detection algorithm. Based on both the manufacturer\u2019s recommendations and empirical evaluation, a confidence threshold of 0.8 was applied to define valid measurements. The software also automatically detects blinks, identified as periods when the pupil is partially or fully occluded by the eyelids.Pupil size was recorded continuously for 4 min in silence (Baseline condition). Subsequently, auditory stimuli were delivered every 4 s for another 4 min (Audio condition). Each participant received 120 auditory stimuli through a headset.Each session produced two datasets\u2014one for each pupil\u2014containing the diameter (in pixels), confidence index, blink events, audio stimulus markers, and artifacts, sampled at ~62 Hz over the 4-min recording duration. Pupil size was consistently recorded in pixels. Data points flagged as blinks or artifacts (confidence &lt; 0.8) were linearly interpolated using adjacent valid points."
DOI: 10.15468/dl.zp9jmv
title: Occurrence Download

description: A dataset containing 150486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Ireland",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-8.65676 54.81541,-10.10892 54.17824,-10.20573 52.46296,-10.72205 51.66947,-9.52806 51.34812,-7.46277 52.00843,-5.97835 52.10764,-5.88154 53.85592,-5.30067 54.68504,-6.65602 55.49757,-7.97909 55.35106,-8.65676 54.81541))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 150486 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049646-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95vktr
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-90.54843 7.19737,-77.65186 7.19737,-77.65186 14.32581,-90.54843 14.32581,-90.54843 7.19737)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Swietenia macrophylla"
 ]
}

 The dataset includes 208 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049657-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00007797
title: Evaluation of the performance of the modified Glasgow prognostic score in urothelial carcinoma, non-small cell lung cancer and renal cell carcinoma

description: Urothelial carcinoma or bladder cancer (UC) is a common disease that affects about 80000 people and kills 17000 in the US each year. Non-small cell lung cancer (NSCLC) is one of the most common cancers with more than 236000 new cases diagnosed each year in the US and more than 130000 deaths. Renal cell carcinoma (RCC) or kidney cancer (renal = kidney) is also one of the most common malignancies worldwide, affecting about 80000 people and killing about 14000 people in the US each year.

These cancers are preferably removed by surgery, however, if the tumor has spread in the body (metastatic disease), patients need a systemic treatment. 

In the last years, immune-checkpoint inhibition (ICI) has evolved as a promising treatment approach. It works by enabling the patient´s immune system to attack and kill the tumor. This is achieved by blocking signals on the tumor cells that prevent the immune system from attacking the cells, these signals are called immune checkpoints. However, not every patient profits from ICI. Thus, it is important to identify patients who are candidates for this kind of treatment. 

The modified Glasgow prognostic score (mGPS) is a score based on two different laboratory parameters (albumin and C reactive protein) that can be measured in any routine blood draw. It has been shown to be able to yield information on prognosis of patients with different cancers, such as UC, NSCLC and RCC. However, it has not been validated in a prospective study on ICI-treated patients with UC and NSCLC (meaning the data was collected in a standardized, structured manner). In the proposed study the mGPS will be validated in a prospective trial including patients with metastatic bladder cancer (IMvigor211) and lung cancer (NCT02008227). 

As part of a currently ongoing research project (Vivli ID: 00007164), we demonstrated that the mGPS outperforms the international metastatic RCC database consortium (IMDC) score, the current clinical standard for risk stratification for patients with metastatic kidney cancer prior start of oncological treatment. In the past, immunotherapy was only used for patients with metastatic kidney cancer. To date, there is growing evidence for the advantages of adjuvant therapy in non-metastatic high-risk kidney cancer (i.e. after surgical removal of the tumor to prevent recurrence). There is currently no way to identify patients that will profit from this treatment. This study aims to validate the mGPS in patients receiving adjuvant therapy for high-risk kidney cancer (S-TRAC and ASSURE). 

This study will help to more precisely predict an individual patient´s risk and thereby add an important tool for clinicians to inform the choice of treatment.
DOI: 10.25934/00001433
title: ASSURE: Adjuvant Sorafenib or Sunitinib for Unfavorable Renal Carcinoma

description: This randomized phase III trial studies sunitinib malate and sorafenib tosylate to see how well they work compared to placebo in treating patients with kidney cancer that has been removed by surgery. Sunitinib malate and sorafenib tosylate may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth and by blocking blood flow to the tumor. Giving sunitinib malate or sorafenib tosylate after surgery may kill any tumor cells that remain after surgery. It is not yet known whether sunitinib malate or sorafenib tosylate is more effective than placebo in treating kidney cancer.
DOI: 10.25934/00006825
title: Sunitinib Treatment Of Renal Adjuvant Cancer (S-trac): A Randomized Double-blind Phase 3 Study Of Adjuvant Sunitinib Vs. Placebo In Subjects At High Risk Of Recurrent Rcc

description: To compare the disease free survival time and safety of sunitinib with placebo in adjuvant treatment patients at high risk of recurrent kidney cancer after surgery.
DOI: 10.15468/dl.hga4cz
title: Occurrence Download

description: A dataset containing 47187485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "CoordinateUncertaintyInMeters 1000.0-1000000.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1980-2010"
 ]
}

 The dataset includes 47187485 records from 1124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049632-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/sb53sd
title: PAN-00181109 - pinch lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00181109&lt;/p&gt;
description: Modified: 2025-10-28T09:43:50+01:00
DOI: 10.15468/dl.58axp8
title: Occurrence Download

description: A dataset containing 1825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eospalax smithii, Eothenomys cachinus, Eothenomys chinensis, Eothenomys custos, Eothenomys melanogaster, Eothenomys miletus, Eothenomys olitor, Eothenomys proditor, Eothenomys wardi, Eozapus setchuanus, Episoriculus caudatus, Episoriculus leucops, Episoriculus macrurus, Equus kiang, Erinaceus amurensis, Eudiscoderma thongareeae, Eudiscopus denticulus, Euroscaptor grandis, Euroscaptor klossi, Euroscaptor longirostris)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1825 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049659-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgcgg2
title: Occurrence Download

description: A dataset containing 5286 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antidesma montanum"
 ]
}

 The dataset includes 5286 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055031-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wy9yn9
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Cotula australis (Sieber ex Spreng.) Hook.fil.",
 "Year 1900-2025"
 ]
}

 The dataset includes 289 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029944-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjtm4r
title: Occurrence Download

description: A dataset containing 2571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "Geometry POLYGON((141.16979 -39.39445,149.96389 -39.39445,150.5737 -39.39445,150.5737 -33.45184,141.16979 -33.45184,141.16979 -39.39445))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Calyptorhynchus lathami (Temminck, 1807), Calyptorhynchus lathami lathami, Calyptorhynchus lathami halmaturinus Mathews, 1912, Calyptorhynchus lathami erebus Schodde & I.J.Mason, 1993)",
 "Year 2021-2025"
 ]
}

 The dataset includes 2571 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001997-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-41147
title: Redemption tidings, vol. 5, nos. 1-12, Jan.-Dec. 1929

description: [description english/roman)] Issued monthly. "A full gospel magazine for all believers" -- subtitle. Bound with vol. 6. Includes Missionary supplement to Redemption tidings in each issue (Jan.-Dec. 1929).
DOI: 10.15468/dl.zhkmjj
title: Occurrence Download

description: A dataset containing 3199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calathus cinctus Motschulsky, 1850, Dorcatoma falli R.E.White, 1965)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 3199 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157100-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywt2gs
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Decumaria sinensis Oliv."
 ]
}

 The dataset includes 97 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0323641-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-39276
title: Flames of fire, [vol. 3], nos. 34-[45], Jan.-Dec. 1916

description: [description english/roman)] All 12 monthly issues subtitled "with which is incorporated tidings from Tibet and other lands".