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177 results for “Philadelphia”

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edi56/100

Lead Risk Factors for West and North Philadelphia: 2007-2020

Provides all data used for the creation of the maps and spearman correlation analysis for a lead risk assessment of North and West Philadelphia. This includes data on: lead-in-soil, land recycled sites, demolitions, housing code violations, age of housing, smelters, and elevated blood lead levels of children. The data was used for a spatial analysis of historic and current lead sources in West and North Philadelphia to determine which lead sources act as primary lead-risk factors, identify future soil sampling sites and high-risk neighborhoods in Philadelphia.

openCC0Jan 2022View details →
edi44/100

FRAME (FoRests Among Managed Ecosystems) – Plant community and seed bank composition in forests, Philadelphia metropolitan area, USA, 2017-2019

Our study objectives were to conduct a Rosa multiflora (multiflora rose) removal experiment in three forest sites experiencing different invasion intensities and to restore native plant biodiversity while preventing secondary invasion. The study was conducted in and around Newark, DE, from 2017-2019, and data collection is complete. We utilized three management strategies: invasive plant removal, removal followed by native seed addition, and removal plus native seed and mulched invasive stem addition. We investigated the similarity between seed bank species composition and existing vegetation before and after removal to assess the potential for passive restoration. Two seasons after removal, we found that simply removing rose increased native species richness, Native Floristic Quality Assessment (FQAIN), and native shrub abundance in our medium invasion site, and total species richness in our low and medium invasion sites. Compared to removal alone, native seed addition, with and without mulch addition, resulted in larger native and total species richness and FQAIN increases at all sites, larger increases in native shrub abundance and exotic species richness in our medium invasion site, and larger reductions in exotic and total shrub abundance in our low and medium invasion sites. Following removal, species similarity between seed bank and vegetation improved for all three sites. Our results indicate that removal of Rosa multiflora (multiflora rose) alone increased native plant biodiversity in the medium invasion scenario, but the seed bank may not provide a large native species pool. Additional management strategies lead to improved outcomes, especially in our most invaded forest, demonstrating the need to conduct multiple plant removal treatments across forests with varying site conditions and plant invasion intensity to improve management recommendations.

openCC (other)Sep 2022View details →
zenodo40/100

2024 Philadelphia Marathon Results (with splits)

<p>This dataset includes the results of the 2024 Philadelphia Marathon. These unofficial results were sourced from the Philly Marathon website on Friday, 11/29/2024.</p> <p>These results were initially collected as part of an analysis that was published on <a href="https://runningwithrock.com/2024-philly-marathon-data/">Running with Rock</a> and in <br><a href="https://medium.com/runners-life/the-2024-philadelphia-marathon-by-the-numbers-f08243aa8ee4">Runner's Life</a>.</p> <p>The dataset includes 12,381 results with the following information:</p> <ul> <li>Bib number</li> <li>Name (First Last)</li> <li>City</li> <li>State</li> <li>Age (0 indicates unknown)</li> <li>Gender (Men, Women, Non-Binary)</li> <li>Overall Place</li> <li>Gender Place</li> <li>Age Place (within gender and age group)</li> <li>Finish Time (H:MM:SS)</li> <li>Split at 5k (MM:SS)</li> <li>Split at 15k (H:MM:SS)</li> <li>Split at Half (H:MM:SS)</li> <li>Split at 30k (H:MM:SS)</li> <li>Split at 40k (H:MM:SS)</li> </ul> <p>Note that there was no field indicating a runner's country. However, by analyzing the state column, you can infer whether a runner is from the United States or another country.</p>

opencc-by-4.0Dec 2024View details →
zenodo40/100

GWAS results of selected binarized neurocognitive task performances from Philadelphia Neurodevelopmental Cohort

<p>This archive contains analysis results associated with the publication:</p> <p>Shraddha Pai, Shirley Hui, Philipp Weber, Soumil Narayan, Owen Whitley, Peipei Li, Viviane Labrie, Jan Baumbach, Anne L Wheeler, Gary D Bader. (2023). Multi-scale systems genomics analysis predicts pathways, cell types and drug targets involved in normative variation in peri-adolescent human cognition. Cerebral Cortex.</p> <p>-----------------------------------------------------------<br> *loco.mlma files: &nbsp;Univariate GWAS summary statistics for binarized performance of computerized neurocognitive tests in the Philadelphia Neurodevelopmental Cohorts. GWAS was performed on individuals ascertained to be of European genetic ancestry. For methods, please refer to the publication above.</p> <p>Phenotype codes:<br> lnb_tp2 &nbsp; &nbsp;Working memory &nbsp; &nbsp;LNB: Number of Correct Responses to 2-Back Trials (TP)<br> pcpt_t_tp &nbsp; &nbsp;Attention &nbsp; &nbsp;PCPT: Total of Correct Responses to Number Trials (TP) and Letter Trials (TP)<br> peit_cr &nbsp; &nbsp;Emotion identification &nbsp; &nbsp;PEIT: Total Correct Responses for All Test Trials, by genus<br> pfmt_ifac_tot &nbsp; &nbsp;Face memory &nbsp; &nbsp;PFMT: Total Correct Responses for All Test Trials<br> plot_tc &nbsp; &nbsp;Spatial reasoning &nbsp; &nbsp;PLOT: Total Correct Responses for All Test Trials, by genus<br> pmat_pc &nbsp; &nbsp;Nonverbal reasoning &nbsp; &nbsp;PMAT: Percent of Correct Responses for All Test Trials, by genus<br> pvrt_cr &nbsp; &nbsp;Verbal reasoning &nbsp; &nbsp;PVRT: Total Correct Responses for All Test Trials, by genus<br> pwmt_kiwrd_tot &nbsp; &nbsp;Word memory &nbsp; &nbsp;PWMT: Total Correct Responses for All Test Trials<br> volt_svt &nbsp; &nbsp;Object memory &nbsp; &nbsp;VOLT: Total Correct Responses for All Test Trial</p>

opencc-by-4.0Apr 2023View details →
ClinicalTrials.gov40/100

Study of Nilotinib as First Line Treatment in Philadelphia Chromosome Positive(Ph+) Chronic Myelogenous Leukemia in Chronic Phase (CML-CP)

ClinicalTrials.gov study NCT01274351. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

Open Label, Phase II Study to Evaluate Efficacy and Safety of Oral Nilotinib in Philadelphia Positive (Ph+) Chronic Myelogenous Leukemia (CML) Pediatric Patients.

ClinicalTrials.gov study NCT01844765. IPD Sharing: YES. Countries: 13. Publications: 3.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov40/100

A Study of Imatinib Versus Nilotinib in Adult Patients With Newly Diagnosed Philadelphia Chromosome Positive (Ph+) Chronic Myelogenous Leukemia in Chronic Phase (CML-CP)

ClinicalTrials.gov study NCT00471497. IPD Sharing: YES. Countries: 35. Publications: 8.

controlledIPD-YESFeb 2026View details →
zenodo36/100

Philadelphia Fire Insurance Mark

I used image to lithophane (http://3dp.rocks/lithophane/) and an image of the Philadelphia Fire Mark "Clasped Hands" to create this file. I was facinated by the marks while visiting Philadelphia and was hoping to find one that could be printed. I have not been able to so I made this one. The explanation of the marks can be found in this link: http://www.phillymag.com/property/2013/05/03/the-storied-fire-marks-of-philadelphia/ Source: Objaverse 1.0 / Sketchfab

opencc-byDec 2017View details →
zenodo36/100

High Resolution Greenspace Land Cover in Philadelphia, Pennsylvania

<p>This dataset provides a high resolution (1-m) land cover map for Philadelphia, Pennsylvania in the United States of America during the summer of 2017. This dataset was created to differentiate two types of green space in Philadelphia: tree and grass cover. The dataset includes four numerically coded land cover classes.</p> <p><strong>Input data:</strong></p> <p>This classification is derived from National Agriculture Imagery Program (NAIP) 1-m aerial imagery captured in the State of Pennsylvania during June of 2017. To improve classification accuracy, NAIP data was stacked with Sentinel-2 level 1C 10-m and 20-m data using the .addBands() function in Google Earth Engine. For the Sentinel-2 data, a median composite was calculated from cloud-masked images collected between April and October of 2017. Sentinel-2 input bands included blue, green, red, red edge 1, red edge 2, red edge 3, near infrared, and shortwave infrared 1. An additional normalized difference vegetation index (NDVI) was calculated from the NAIP and Sentinel-2 bands using the formula:</p> <p>NDVI = (Near infrared - Red) / (Near infrared + Red)</p> <p><strong>Classification methods:</strong></p> <p>We classified the input data using a Random Forest classifier with 200 trees. Data was classified into four coded land cover classes:</p> <p>1 - Tree</p> <p>2 - Grass</p> <p>3 - Human-built structures</p> <p>4 - Open water</p> <p>8,961 land cover reference points were collected with 70% used to train and 30% to test the classifier. Results were smoothed using a 3x3 square kernel based on the mode of a pixel&rsquo;s neighbors.</p> <p><strong>Accuracy:</strong></p> <p>Measures of accuracy including overall accuracy and per class user&rsquo;s (UA) and producer&rsquo;s accuracy (PA) of the random forest classifier were calculated.</p> <p>Overall accuracy: 93%</p> <p>Tree: UA = 89.73% PA = 93.90%</p> <p>Grass: UA = 93.41% PA = 88.21%</p> <p>Human-built structures: UA = 98.28% PA = 97.47%</p> <p>Open water: UA = 93.56%&nbsp;PA = 98.95%</p> <p><strong>Code link:</strong></p> <p>The Google Earth Engine code used in this analysis is publicly available.</p> <p><a href="https://code.earthengine.google.com/32d3a77e70955a6279ec22233778bd8f">https://code.earthengine.google.com/32d3a77e70955a6279ec22233778bd8f</a></p> <p><strong>Data for download:</strong></p> <p>Two files are available for download.</p> <ol> <li>Philadelphia_classification_points.zip</li> </ol> <p>Contains a shapefile of the 8,961 reference points used to train and test the classifier.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp;2. Philadelphia_Landcover_2017.zip</p> <p>Contains a GEOTIFF of the classified image over Philadelphia, Pennsylvania for the summer of 2017.</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2023View details →
ClinicalTrials.gov36/100

Nilotinib in Newly Diagnosed Adult Philadelphia Chromosome & /or BCR-ABL Positive Chronic Myeloid Leukaemia in Chronic Phase

ClinicalTrials.gov study NCT01061177. IPD Sharing: Not stated. Countries: 26. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

West Philadelphia Controls Asthma

ClinicalTrials.gov study NCT03514485. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Safety And Efficacy Study Of Bosutinib In Patients With Philadelphia Chromosome Positive Chronic Myeloid Leukemia Previously Treated With One Or More Tyrosine Kinase Inhibitors

ClinicalTrials.gov study NCT02228382. IPD Sharing: YES. Countries: 8. Publications: 5.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Study of Molecular Response in Adult Patients on Nilotinib With Philadelphia Chromosome Positive Chronic Myelogenous Leukemia (Ph+ CML) in Chronic Phase and a Suboptimal Molecular Response to Imatinib

ClinicalTrials.gov study NCT00644878. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Compare Bosutinib To Imatinib In Subjects With Newly Diagnosed Chronic Phase Philadelphia Chromosome Positive CML

ClinicalTrials.gov study NCT00574873. IPD Sharing: YES. Countries: 29. Publications: 7.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Vaccine Therapy in Treating Patients With Philadelphia Chromosome-Positive Chronic Myelogenous Leukemia

ClinicalTrials.gov study NCT00466726. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Safety and Efficacy of Imatinib Versus Interferon-α Plus Cytarabine in Patients With Newly Diagnosed Philadelphia Chromosome Positive Chronic Myelogenous Leukemia

ClinicalTrials.gov study NCT00333840. IPD Sharing: Not stated. Countries: 16. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Pediatric Philadelphia Positive Acute Lymphoblastic Leukemia

ClinicalTrials.gov study NCT01460160. IPD Sharing: Not stated. Countries: 6. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Study Evaluating SKI-606 (Bosutinib) In Philadelphia Chromosome Positive Leukemias

ClinicalTrials.gov study NCT00261846. IPD Sharing: Not stated. Countries: 27. Publications: 13.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Blinatumomab in Adults With Relapsed/Refractory Philadelphia Positive B-precursor Acute Lymphoblastic Leukemia

ClinicalTrials.gov study NCT02000427. IPD Sharing: NO. Countries: 5. Publications: 8.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Study Evaluating SKI-606 (Bosutinib) In Japanese Subjects With Philadelphia Chromosome Positive Leukemias

ClinicalTrials.gov study NCT00811070. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
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DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record