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

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.923 12.012995, 104.851176 12.007422, 104.781128 11.990838, 104.714591 11.963656, 104.653207 11.926546, 104.598493 11.880427, 104.551797 11.826439, 104.514266 11.765914, 104.486822 11.700347, 104.470133 11.631354, 104.464603 11.560638, 104.47036 11.489938, 104.487254 11.420997, 104.514861 11.355508, 104.552496 11.295082, 104.599228 11.241203, 104.653906 11.195194, 104.715186 11.158184, 104.781561 11.13108, 104.851403 11.114547, 104.923 11.108991, 104.994597 11.114547, 105.064439 11.13108, 105.130814 11.158184, 105.192094 11.195194, 105.246772 11.241203, 105.293504 11.295082, 105.331139 11.355508, 105.358746 11.420997, 105.37564 11.489938, 105.381397 11.560638, 105.375867 11.631354, 105.359178 11.700347, 105.331734 11.765914, 105.294203 11.826439, 105.247507 11.880427, 105.192793 11.926546, 105.131409 11.963656, 105.064872 11.990838, 104.994824 12.007422, 104.923 12.012995))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 46 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000196-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72xv8h
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dactylorhiza traunsteineri, Orchis angustifolia, Orchis angustifolia, Orchis angustifolia, Orchis angustifolia, Orchis angustifolia, Orchis angustifolia, Orchis traunsteineri, Orchis traunsteineri, Orchis traunsteineri)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000195-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjgwb8
title: Occurrence Download

description: A dataset containing 162861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Mustela lutreola, Mustela putorius, Neomys fodiens, Neomys anomalus, Neomys milleri, Galemys pyrenaicus, Arvicola sapidus)"
 ]
}

 The dataset includes 162861 records from 1446 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000165-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18303407
title: Rhipsalis Gaertn. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303408
title: Rhipsalis Gaertn. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.15468/dl.a8zfy3
title: Occurrence Download

description: A dataset containing 6604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is Datos de ocurrencia de triatominos americanos del Laboratorio de Triatominos del CEPAVE (CONICET-UNLP)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6604 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000197-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xd25hw
title: Occurrence Download

description: A dataset containing 747 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.641 2.277179, 103.570682 2.27161, 103.502097 2.255042, 103.436935 2.227882, 103.376802 2.1908, 103.323178 2.144709, 103.277385 2.090746, 103.240549 2.030239, 103.213577 1.964679, 103.197131 1.895681, 103.191616 1.824944, 103.197166 1.754209, 103.213643 1.685219, 103.24064 1.619671, 103.277491 1.55918, 103.32329 1.505233, 103.376908 1.45916, 103.437026 1.422093, 103.502163 1.394945, 103.570717 1.378385, 103.641 1.372819, 103.711283 1.378385, 103.779837 1.394945, 103.844974 1.422093, 103.905092 1.45916, 103.95871 1.505233, 104.004509 1.55918, 104.04136 1.619671, 104.068357 1.685219, 104.084834 1.754209, 104.090384 1.824944, 104.084869 1.895681, 104.068423 1.964679, 104.041451 2.030239, 104.004615 2.090746, 103.958822 2.144709, 103.905198 2.1908, 103.845065 2.227882, 103.779903 2.255042, 103.711318 2.27161, 103.641 2.277179))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 747 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000198-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00011425
title: Serum and Histologic Eosinophilia as a Predictive Biomarker of Response to Mirkizumab in Ulcerative Colitis

description: Ulcerative colitis (UC) is a chronic inflammatory bowel disease that causes painful symptoms and can significantly impact quality of life. Doctors often use powerful medications, including biological drugs (commonly called biologics), which are produced using living systems such as microorganisms or animal cells, to control inflammation. However, not all patients respond well to these treatments.

This study aims to investigate whether levels of a type of white blood cell called eosinophils, measured in blood and tissue samples, might help predict which patients with UC are more likely to respond to mirikizumab, a newer medication that targets a specific part of the immune system called interleukin 23 (IL-23). By blocking IL-23, mirikizumab reduces immune activation and inflammation.

The researchers will analyze both single time points and changes in eosinophil levels over time (a longitudinal analysis) to explore whether higher levels at the beginning of treatment or reductions during treatment are associated with better outcomes. The goal is to determine whether eosinophils could serve as an early sign of treatment success, helping doctors better personalize UC therapy in the future.
DOI: 10.25934/pr00010141
title: A Phase 3, Multicenter, Randomized, Double-Blind, Parallel, Placebo-Controlled Induction Study of Mirikizumab in Conventional-Failed and Biologic-Failed Patients With Moderately to Severely Active Ulcerative Colitis (LUCENT 1)

description: The purpose of this study is to evaluate the safety and efficacy of Mirikizumab in participants with moderately to severely active ulcerative colitis (UC) who have had an inadequate response to, loss of response, or intolerant to conventional or biologic therapy for UC.
DOI: 10.34894/qdx1rn
title: ERRHS_Population

description: Electronic Repository of Russian Historical Statistics - data on POPULATION, cross-sections 1795, 1858, 1897, 1959, 2002, regional-level breakdown
DOI: 10.5281/zenodo.18303005
title: Estrategias de planificación y revisión en la escritura académica argumentativa de estudiantes universitarios
DOI: 10.5281/zenodo.18303004
title: Estrategias de planificación y revisión en la escritura académica argumentativa de estudiantes universitarios
DOI: 10.5281/zenodo.18303415
title: Rhipsalis cereuscula Haw. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303416
title: Rhipsalis cereuscula Haw. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.6084/m9.figshare.31071775
title: Comparison of Geoelectric Fields Computed by the Complex Image, Magnetotelluric, and Finite-Difference Time-Domain Methods

description: This is a dataset of the geomagnetic and geoelectric fields obtained using the Complex Image, Magnetotelluric, and Finite-Difference Time-Domain Methods in time and space. It also includes the spectra of the fields.Please refer to the paper for a better explanation of the figures.Paper title: Comparison of Geoelectric Fields Computed by the Complex Image, Magnetotelluric, and Finite-Difference Time-Domain Methods.
DOI: 10.6084/m9.figshare.31071775.v1
title: Dataset for: Comparison of Geoelectric Fields Computed by the Complex Image, Magnetotelluric, and Finite-Difference Time-Domain Methods

description: This is a dataset of the geomagnetic and geoelectric fields obtained using the Complex Image, Magnetotelluric, and Finite-Difference Time-Domain Methods in time and space. It also includes the spectra of the fields.Please refer to the paper for a better explanation of the figures.Paper title: Comparison of Geoelectric Fields Computed by the Complex Image, Magnetotelluric, and Finite-Difference Time-Domain Methods.
DOI: 10.6084/m9.figshare.31071775.v2
title: Comparison of Geoelectric Fields Computed by the Complex Image, Magnetotelluric, and Finite-Difference Time-Domain Methods

description: This is a dataset of the geomagnetic and geoelectric fields obtained using the Complex Image, Magnetotelluric, and Finite-Difference Time-Domain Methods in time and space. It also includes the spectra of the fields.Please refer to the paper for a better explanation of the figures.Paper title: Comparison of Geoelectric Fields Computed by the Complex Image, Magnetotelluric, and Finite-Difference Time-Domain Methods.
DOI: 10.15468/dl.2je9ey
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tournefortia killipii"
 ]
}

 The dataset includes 13 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000199-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.32361.56163
title: Served as a Reviewer for the 8th IEEE Pune Section International Conference (IEEE PUNECON 2025) on the theme “Generative and Futuristic Systems”, jointly organized by Savitribai Phule Pune University and IEEE Pune Section, and held in Pune, Maharashtra, India, during 12–15 December 2025
DOI: 10.15468/dl.cbuqv5
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dactylorhiza viridis, Coeloglossum viride)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 334 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000201-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18303427
title: Rhipsalis floccosa  Salm-Dyck ex Pfeiff. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303428
title: Rhipsalis floccosa  Salm-Dyck ex Pfeiff. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18303310
title: Thematic Analysis of the Case Studies: Schools as Social Infrastructure for Urban Quality of Life

description: Table S1 shows a comparative analysis of the implementation of strategies across the specified case study schools, categorized into “Spaces, activities, and buildings” and “boundary conditions”.
DOI: 10.5281/zenodo.18303311
title: Thematic Analysis of the Case Studies: Schools as Social Infrastructure for Urban Quality of Life

description: Table S1 shows a comparative analysis of the implementation of strategies across the specified case study schools, categorized into “Spaces, activities, and buildings” and “boundary conditions”.
DOI: 10.5281/zenodo.17497377
title: Stopping method evaluation results

description: This repository contains the data and simulation results from the article "Don't stop me now, 'cause I'm having a good time screening: Evaluation of stopping methods for safe use of priority screening in systematic reviews".



Tim Repke, Francesca Tinsdeall, Diana Danilenko, Sergio Graziosi, Finn Müller‐Hansen, Lena Schmidt, James Thomas, Gert van Valkenhoef. 2026. Don't Stop Me Now, `Cause I'm Having a Good Time Screening: Evaluation of Stopping Methods for Safe Use of Priority Screening in Systematic Reviews. Cochrane Evidence Synthesis and Methods

https://doi.org/10.1002/cesm.70068 


Code is available on GitHub: https://github.com/destiny-evidence/destiny-repository

The `raw` directory contains raw labelled datasets, the `rankings` directory the pre-computed rankings, and the `results` directory the logs from the stopping method simulations.

 

This version of the dataset is equivalent to the first version, but uses a more convenient/intuitive format.Each file contains all simulations and stopping decision for a specific dataset.



name: Dataset name

n_total: Overall size of dataset (number of records)

n_incl: Number of relevant records

simulations: Each simulation (typically, we pre-compute three rankings with different random initial set per dataset)



ranking_info: Information on which ranking model was used for each batch and how large the batches were (this is dynamic)

ranking: The ordered list of records



id: row indices in the original raw dataset for reference

labels: inclusion (1) /exclusion (0) annotations

score: model score, -1 if part of random sample

batch: which training batch this is part of



stop_decisions: For each stopping method and set of parameters



method: Name of the stopping method

n_seen: How many records were screened before the method with these params said stop

n_incl_seen: How many of those records were relevant






Notes:



The stopping decisions were computed on fixed batch sizes of 15 on the pre-computed ranking

The params in the stop_decisions are repeated and duplicates, but might be more convenient to use this way
DOI: 10.5281/zenodo.18303280
title: Stopping method evaluation results

description: This repository contains the data and simulation results from the article "Don't stop me now, 'cause I'm having a good time screening: Evaluation of stopping methods for safe use of priority screening in systematic reviews".



Tim Repke, Francesca Tinsdeall, Diana Danilenko, Sergio Graziosi, Finn Müller‐Hansen, Lena Schmidt, James Thomas, Gert van Valkenhoef. 2026. Don't Stop Me Now, `Cause I'm Having a Good Time Screening: Evaluation of Stopping Methods for Safe Use of Priority Screening in Systematic Reviews. Cochrane Evidence Synthesis and Methods

https://doi.org/10.1002/cesm.70068 


Code is available on GitHub: https://github.com/destiny-evidence/destiny-repository

The `raw` directory contains raw labelled datasets, the `rankings` directory the pre-computed rankings, and the `results` directory the logs from the stopping method simulations.

 

This version of the dataset is equivalent to the first version, but uses a more convenient/intuitive format.Each file contains all simulations and stopping decision for a specific dataset.



name: Dataset name

n_total: Overall size of dataset (number of records)

n_incl: Number of relevant records

simulations: Each simulation (typically, we pre-compute three rankings with different random initial set per dataset)



ranking_info: Information on which ranking model was used for each batch and how large the batches were (this is dynamic)

ranking: The ordered list of records



id: row indices in the original raw dataset for reference

labels: inclusion (1) /exclusion (0) annotations

score: model score, -1 if part of random sample

batch: which training batch this is part of



stop_decisions: For each stopping method and set of parameters



method: Name of the stopping method

n_seen: How many records were screened before the method with these params said stop

n_incl_seen: How many of those records were relevant






Notes:



The stopping decisions were computed on fixed batch sizes of 15 on the pre-computed ranking

The params in the stop_decisions are repeated and duplicates, but might be more convenient to use this way
DOI: 10.15468/dl.r98dkf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-84.232 12.654974, -84.303999 12.6494, -84.374217 12.632816, -84.440915 12.605633, -84.50244499999999 12.568522, -84.557289 12.522402, -84.604094 12.468413, -84.64171 12.407888, -84.669214 12.342321, -84.685936 12.273331, -84.691472 12.202617, -84.685695 12.131921, -84.668756 12.062984, -84.641079 11.997501, -84.603353 11.93708, -84.55651 11.883207, -84.501705 11.837203, -84.440285 11.800197, -84.37375900000001 11.773097, -84.303759 11.756566, -84.232 11.751011, -84.160241 11.756566, -84.09024100000001 11.773097, -84.023715 11.800197, -83.962295 11.837203, -83.90749 11.883207, -83.860647 11.93708, -83.82292099999999 11.997501, -83.795244 12.062984, -83.778305 12.131921, -83.77252799999999 12.202617, -83.778064 12.273331, -83.794786 12.342321, -83.82229 12.407888, -83.859906 12.468413, -83.906711 12.522402, -83.961555 12.568522, -84.02308499999999 12.605633, -84.089783 12.632816, -84.16000099999999 12.6494, -84.232 12.654974))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000200-260119153935675/datasets/export for details.
DOI: 10.15468/dl.mb2spc
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.463 2.286179, 103.392682 2.28061, 103.324096 2.264042, 103.258934 2.236882, 103.1988 2.1998, 103.145176 2.153709, 103.099383 2.099745, 103.062547 2.039238, 103.035574 1.973679, 103.019129 1.90468, 103.013614 1.833943, 103.019164 1.763209, 103.035641 1.694219, 103.062638 1.628671, 103.09949 1.568179, 103.145289 1.514233, 103.198907 1.46816, 103.259025 1.431093, 103.324163 1.403945, 103.392717 1.387385, 103.463 1.381819, 103.533283 1.387385, 103.601837 1.403945, 103.666975 1.431093, 103.727093 1.46816, 103.780711 1.514233, 103.82651 1.568179, 103.863362 1.628671, 103.890359 1.694219, 103.906836 1.763209, 103.912386 1.833943, 103.906871 1.90468, 103.890426 1.973679, 103.863453 2.039238, 103.826617 2.099745, 103.780824 2.153709, 103.7272 2.1998, 103.667066 2.236882, 103.601904 2.264042, 103.533318 2.28061, 103.463 2.286179))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000202-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/zhf3g7
title: A new species of Phragmanthera (Loranthaceae) from the Sanaga River basin, Cameroon

description: This dataset contains the digitized treatments in Plazi based on the original journal article Simo-Droissart, Murielle, Lachenaud, Olivier, Libalah, Moses, Sonké, Bonaventure (2026): A new species of Phragmanthera (Loranthaceae) from the Sanaga River basin, Cameroon. Plant Ecology and Evolution 159 (1): 27-34, DOI: 10.5091/plecevo.172526AbstractBackground and aims – Riverine habitats along the Sanaga River in Cameroon were until recently little-explored by botanists, although they are facing increasing threats, notably from the construction of hydroelectric dams. Recent botanical inventories in the area have led to the discovery of several taxonomical novelties, including a new species of Phragmanthera (Loranthaceae) that is described here.Material and methods – This paper is based on field studies and examination of herbarium collections of the new species and its relatives. Classic practices of herbarium taxonomy have been applied. The conservation status of the new species is assessed following the IUCN Red List Categories and Criteria.Key results – Phragmanthera bidaultii sp. nov. is identified by its non-septate anthers (a unique character in the genus), by the patent to reflexed corolla lobes with the apex thickened into a conical appendage, and by its relatively narrow leaves, initially with sparse rufous barbellate hairs but soon becoming glabrescent on both sides. It has a very restricted distribution along the Sanaga River in Cameroon, where it grows in riparian forest, and it is assessed as Endangered (EN).
DOI: 10.5281/zenodo.16601255
title: Source data for "Mapping cellular vulnerability in Parkinson's disease using retro-AAVs and preformed α-synuclein fibrils"
DOI: 10.5281/zenodo.16601256
title: Source data for "Mapping cellular vulnerability in Parkinson's disease using retro-AAVs and preformed α-synuclein fibrils"