Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
131
datasets available to search
ShareScore release 0.9.0
Dataset results
131 results for “Pennsylvania”
Ecosystem metabolism and associated environmental data for a forested, meadow and reforested reach of White Clay Creek, Chester Co., Pennsylvania; 1971-1975 and 1997-2010
Ecosystem metabolism data for a 3rd-order Piedmont stream were collected during two periods: P1- April 1971 – Dec 1975, and P2- May 1997 – January 2010. Measures were made in a meadow and a forested reach during each period and in a reforested (formerly meadow) reach during the latter years of P2. During P1, measures were made by transferring streambed substrata to chambers in water jackets located on the streambank and measuring dissolved oxygen changes over diel periods. During P2, open system measures of dissolved O2 change were made for several days in warm and cold seasons, with reaeration determined from a propane injection experiment. Metabolism estimates were determined from diel curves of dissolved O2 change. Photosynthetically active radiation (PAR) and chlorophyll were measured concurrent with many measurements in P1 and all measures during P2, and temperature with all measures. Water chemistry parameters (NH4-N, NO3-N, PO4-P, SiO2, Cl, SO4, total alkalinity, pH) associated with each run are included in the data set, as are days since storm of various thresholds. Field procedures, analytical methods and data analyses are detailed in Bott, T.L. & J. D. Newbold, 2023. A multi-year analysis of factors affecting ecosystem metabolism in forested and meadow reaches of a Piedmont Stream. Hydrobiologia
Microclimate data associated with green infrastructure in Lancaster Pennsylvania, 2022
Green stormwater infrastructure (GSI) is being increasingly implemented as a stormwater management practice. A key reason for its popularity is the potential for co-benefits, such as heat mitigation, in addition to stormwater management functions. This data is the result of field investigation of heat patterns around GSI in Lancaster, Pennsylvania, providing some of the first ever direct measurements of microclimate and thermal comfort near GSI. During summer 2022, we collected data along transects at 10 rain gardens. Microclimate variables were quantified using a Kestrel 5400 Heat Stress Tracker and were used to calculate metrics that represent heat stress experienced by a human such as wet bulb globe temperature (WBGT) and mean radiant temperature (MRT). Measurements were also made at nearby impervious surface and lawn reference sites.
Microplastic Abundance, Shape, and Color in Passerines Captured at Rushton Woods Preserve Bird Banding Station in Newtown Square, Pennsylvania, USA, April-September 2024
Fecal samples were collected from 5 species of passerine birds between April and September 2024 at the Rushton Woods Preserve Bird Banding Station. Samples were chemically digested and filtered for the purpose of extracting, quantifying, and describing microplastics.
High frequency limnological sensor data from three lakes in the Pocono Mountains region, Pennsylvania USA, 2016-2024
This dataset publication provides access to eight years of high-frequency sensor data from three lakes: Giles, Lacawac, and Waynewood. These lakes are located in the Pocono Mountains region of Pennsylvania, USA and have been the site of long-term monitoring and research. Lake Giles is a relatively clear-water low dissolved organic matter oligotrophic lake in a largely protected watershed. Lake Lacawac has higher dissolved organic matter concentrations and is considered a dystrophic brown-water system; it is also in a highly-protected watershed. Lake Waynewood is a relatively productive eutrophic lake with a larger watershed that is mixed agricultural, forested, and residential use. High-frequency sensors were deployed on sensor lines at the deepest point in each lake. Measurements included temperature and dissolved oxygen through the water column, fluorescent dissolved organic matter at the surface and bottom, and chlorophyll fluorescence at the surface of each lake. These data are collected at a frequency of 10 to 30 minutes and are available in the data packages GilesHighFrequencyData.csv, LacawacHighFrequencyData.csv, and WaynewoodHighFrequencyData.csv. Data from weather stations located adjacent to each lake can be found in the data package PoconosWeatherStationData.csv. Additional long-term limnological data (four decades) for Lakes Giles, Lacawac, and Waynewood are available in the data package edi.186.8.
Three decades of limnological data from lakes in the Pocono Mountains region, Pennsylvania USA, 1988-2023
Three decades of limnological data have been collected from Lakes Lacawac, Giles, and Waynewood, located in the Pocono Mountains region of Pennsylvania, USA as a part of this ongoing data set. Giles is a clear-water, low dissolved organic matter oligotrophic lake in a largely protected watershed, Lacawac has higher dissolved organic matter concentrations and is a dystrophic brown-water system in a highly protected watershed within the Lacawac Sanctuary and Biological Field Station, and Waynewood is a more productive, eutrophic lake, with a larger watershed that is mixed agricultural, forested, and residential use. One unique aspect of these data is that they comprise one of the largest and most complete data sets with measurements of underwater UV transparency available in the world. The data include a suite of 48 variables including biological (zooplankton), physical, optical, and chemical characteristics of the lakes, with a focus on the optical characteristics. Data were collected on many of these variables at least once annually during the summer, often with much more frequent samples during the ice-free season, and for several years in the early 1990s through the winter months. The following four files contain this data set, with the main data contained in PoconosLakeData.csv and PoconosZoopData.csv. SiteInformation.csv and Methods.csv support the main data files, with descriptions of the sampling sites and methods by which samples were processed, respectively. Also included are summary reports that provide an overview and characterize the three core PCLP (Pocono Comparative Lakes Program) lakes from 1989-1993. The user is referred in particular to the 1995 summary report on all three lakes as a useful introduction to the three lakes. These files can be accessed through links provided under Journal Citations. These reports provide an overview of the lakes and detailed methodology. The 1995 summary report "Limnology of Lakes Lacawac, Giles, and Waynewood 1989-93
Water chemistry, bedrock geology, and land cover data for Pennsylvania headwater streams: 2007-2022.
This data package contains all data necessary to run random forest and regression analyses featured in the article: 'Influence of bedrock geology on headwater stream pH' by G. Moyer, K. Frantz, and M. Shank. The data include water chemistry, land cover, and geologic formations for 271 headwater streams in Pennsylvania. Data from two previously published papers are also included: Ponce et al. (1979) and Lynch and Dise (1985), which were used as validation datasets.
Law Indexes: Pennsylvania
<p>As part of efforts to expand the Local Geohistory Project, which aims to educate users and disseminate information concerning the geographic history and structure of political subdivisions and local government, this repository has been created to disseminate law index data for the Commonwealth of Pennsylvania. This index currently covers a portion of the private and special laws only from 1700 through 1892.</p><p>Private and special laws concern one or several individuals, entities, or localities, unlike public or general laws, which apply to all similarly situated individuals, entities, and localities within a jurisdiction. Prior to the Constitution of 1874, private and special laws were a common method used to alter municipal and county boundaries and forms of government. The law index is released as a tab-separated values (TSV) file, <strong>output/PaLawIndex.tsv</strong>.</p><p>This repository does not contain the full text of the laws, nor does it currently contain links to the full text. Because the index was created using OCR technology, it may contain uncaptured errors. This preliminary release is subject to additional caveats explained in the Methodology.</p>
Dissolved organic carbon concentrations in White Clay Creek, Pennsylvania, 1977-2017
Dissolved organic carbon concentrations were measured over a period of 4 decades in a 3rd-order reach of White Clay Creek, a stream with a forested riparian zone in the Southeastern Pennsylvania Piedmont. Stream water was filtered through pre-combusted glass fiber filters and analyzed in a variety of dissolved organic carbon analyzers. The data have been used to investigate organic matter biogeochemistry and the role of dissolved organic matter in supporting heterotrophic metabolism in the stream.
Photodegradation and biodegradation of dissolved organic carbon from four lakes of varying trophic status in Pennsylvania and Florida in 2016
The enclosed data are results from a series of monthly (May-August) experiments conducted in 2016. We measured changes in five variables (dissolved organic carbon (DOC), dissolved inorganic carbon, dissolved oxygen, the spectral slope ratio, and the DOC specific ultraviolet absorbance at 320 nm). Groundwater samples adjacent to four lakes of varying trophic status were used to assess changes in the above variables due to photodegradation and biodegradation. Three lakes (Lacawac, Giles, and Waynewood) are located in the Pocono region of Pennsylvania. The fourth lake (Annie) is located in Venus, FL. Details of the experiment can be found in Dempsey et al. 2020 (accepted at Biogeosciences). In this study, we used groundwater (terrestrial DOC) to simulate storm water inputs to the surface of a lake. We assessed the relative importance of photodegradation and biodegradation by measuring changes in the above variables. All experiments were conducted on the surface of Lake Lacawac (PA). Here, we provide our raw data from the experiments. Outgassing of carbon dioxide (CO2) from freshwater ecosystems comprises 12-25% of the total carbon flux from soils and bedrock. This CO2 is largely derived from both biodegradation and photodegradation of terrestrial dissolved organic carbon (DOC) entering lakes from wetlands and soils in the watersheds of lakes. In spite of the significance of these two processes in regulating rates of CO2 outgassing, their relative importance remains poorly understood in lake ecosystems. In this study, we used groundwater from the watersheds of one subtropical and three temperate lakes of differing trophic status to simulate the effects of increases in terrestrial DOC from storm events. We assessed the relative importance of biodegradation and photodegradation in oxidizing DOC to CO2. We measured changes in DOC concentration, colored dissolved organic carbon (SUVA320 and Sr), dissolved oxygen, and dissolved inorganic carbon (DIC) in short-term experiment
Information flows around agricultural best management practices in central Pennsylvania
<p>This dataset was collected between February and April 2019, to assess the information network of agricultural Best-Management Practices (BMPs) in central Pennsylvania, a sub-region of the Chesapeake Bay watershed.</p> <p>It contains information flows (or "messages") relating to 16 specific BMPs, including:</p> <ul> <li>the BMP it relates to (e.g. riparian buffers, manure management planning, no-till, cover-cropping, etc.);</li> <li>the source and target of the information (actors);</li> <li>the kind of message (e.g. funding, regulation, technical assistance, etc.);</li> <li>the weight (strength) of messages (only for those received by farmers directly).</li> </ul> <p>Over 3900 messages/information flows were recorded, involving 57 actors.</p> <p>This data was used to conduct the study "Navigating agricultural nonpoint source pollution governance: A social network analysis of best management practices in central Pennsylvania".</p>
Pennsylvania German word list (lemmatized and POS-annotated)
<p>The file presents the words used in the Pennsylvania German part of the ENDE corpus (www.deitsch.eu). The list contains every lemma with its associated word forms documented in the corpus, comprised of 1761 lemmata and 2704 word forms.</p> <p>The ENDE corpus (“English-Deitsch translation corpus”) is the first POS-annotated and searchable text corpus in Pennsylvania German (= Deitsch; ISO language code: pdc), aligned to the English source texts. Despite many digital texts in Deitsch are available on the internet, there are, so far, no digital corpora for this language. This is due mainly to the lack of a generally recognized standard variety which could serve as a reference point for the linguistic analysis needed for lemmatization and annotation.</p> <p>Lemmatization was done with the help of different lexicographic resources (https://www.deitsch.eu/news/view/9) most of which follow other spelling conventions. A fair number of word forms, especially English loanwords of some sort, cannot be found in the dictionaries. Moreover, the variety used here is characterized by a high variability regarding not only the spelling but also other aspects of the language.</p> <p>Part-of-speech tags were assigned manually (see tagsets A and B below). These tagsets for part-of-speech annotation of Deitsch texts are based on the 2017 version of the STTS system created and widely used for German (https://ids-pub.bsz-bw.de/frontdoor/deliver/index/docId/6063/file/Westpfahl_Schmidt_Jonietz_Borlinghaus_STTS_2_0_2017.pdf), which has been slightly modified and adapted to the corpus texts written in the Plain Deitsch variety. Tagset A gives a broader view and refers to the lemma level, tagset B is more fine-grained and suitable for the single word forms documented in the corpus. Only those tags are listed which are actually employed for the annotation of the corpus texts. Foreign items not integrated in the Deitsch text flow (e.g. English quotations) have been omitted.</p> <p>For more details about the corpus and the project please refer to the above mentioned website.</p>
Figure 1 in Characterization of Acetolactate Synthase (ALS)-Inhibitor Resistance in Pennsylvania smartweed (PersicOriO pensylvOnicO)
Figure 1. Dose–response assay using four-parameter log logistic model for (A) bensulfuron-methyl, (B) imazethapyr, and (C) bispyribac-sodium herbicides in Persicaria pensylvanica resistant (R) and susceptible (S) biotypes. Each data point is a mean response of 30 plants (10 plants per replication).
Figure 2 in Characterization of Acetolactate Synthase (ALS)-Inhibitor Resistance in Pennsylvania smartweed (PersicOriO pensylvOnicO)
Figure 2. Two ALS gene mutations conferring ALS-inhibitor resistance in Persicaria pensylvanica. The underlined nucleotides (TCA and TCC) code for the amino acid serine instead of an alanine and proline at two different locations (122 and 197) of the ALS gene. R1, R2, and S refer to two resistant and one susceptible individuals, respectively.
Linked collectors and determiners for: Indiana University of Pennsylvania, A.G. Shields Herbarium.
Natural history specimen data linked to collectors and determiners held within, "Indiana University of Pennsylvania, A.G. Shields Herbarium". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/1028e2b6-45d4-4f2e-a0c2-406d8306ea17">https://bionomia.net/dataset/1028e2b6-45d4-4f2e-a0c2-406d8306ea17</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1028e2b6-45d4-4f2e-a0c2-406d8306ea17">https://gbif.org/dataset/1028e2b6-45d4-4f2e-a0c2-406d8306ea17</a>. Formatted as a Frictionless Data package.
Figures 4–7 in Gynandromorph of the squash bee Eucera (Peponapis) pruinosa (Hymenoptera: Apidae: Eucerini) from an agricultural field in western Pennsylvania, USA
Figures 4–7. Mosaic gynandromorph of Eucera (Peponapis) pruinosa (Say); scale bars = 2 mm. 4. Left lateral habitus showing female antennae and male legs. 5. Right lateral habitus showing male antennae and female legs. 6. Metasomal terga (in dorsal view) showing T3–T6; T6 with pygidial plate. 7. Metasomal sterna (in ventral view) showing typical female features, including a lack of carinae on S6 (present in male Peponapis).
Figures 1–3 in Gynandromorph of the squash bee Eucera (Peponapis) pruinosa (Hymenoptera: Apidae: Eucerini) from an agricultural field in western Pennsylvania, USA
Figures 1–3. Mosaic gynandromorph of Eucera (Peponapis) pruinosa (Say); scale bars = 2 mm. 1. Head (in frontal view) showing the distinct bilateral split between the sexes (right half female, left half male). 2. Dorsal habitus showing male and female antennae, mesosoma, and femalelike metasomal features. 3. Ventral habitus showing patchily distributed female and male features on the head and mesosoma, including the antennae and legs, and female-like metasoma.
FIGURE 9 in Riparian and valley-margin hardwood species of pre-colonial Piedmont forests: A preliminary study of subfossil leaves from White Clay Creek, southeastern Pennsylvania, USA
FIGURE 9. Acer negundo (Box Elder). 1, Leaflet, showing shallow lobes and rounded sinuses, EMS 425016; 2, Trichomes along veins, EMS 425016; 3, Trichomes along tooth margin, EMS 425016, with increased density on basal side of tooth; 4, Tooth of modern A. negundo from York County, Pennsylvania (collection Y2.2 of Wilf, 1997), showing the same general trichome pattern.
FIGURE 7 in Riparian and valley-margin hardwood species of pre-colonial Piedmont forests: A preliminary study of subfossil leaves from White Clay Creek, southeastern Pennsylvania, USA
FIGURE 7. Liriodendron tulipifera (Tulip Tree). 1, Subfossil samara, EMS 425015; 2, Thickened ridge at basal attachment site of EMS 425015; 3, Mucronate samara tip from EMS 425014.
FIGURE 4 in Riparian and valley-margin hardwood species of pre-colonial Piedmont forests: A preliminary study of subfossil leaves from White Clay Creek, southeastern Pennsylvania, USA
FIGURE 4. Fagus grandifolia (American Beech). 1, Leaf fragment, showing regularly spaced secondary veins, EMS 425004; 2, Detail of venation on EMS 425004; 3, Trichomes at vein junction, EMS 425004; 4, Trichomes at the vein junction of a modern F. grandifolia leaf from York County, Pennsylvania (collection Y1.2 of Wilf, 1997); 5, Rounded tooth on subfossil, EMS 425005; 6, Tooth and rounded sinus on modern F. grandifolia leaf from York County, Pennsylvania (collection Y1.2 of Wilf, 1997); 7, Trichome, EMS 425004.
FIGURE 6 in Riparian and valley-margin hardwood species of pre-colonial Piedmont forests: A preliminary study of subfossil leaves from White Clay Creek, southeastern Pennsylvania, USA
FIGURE 6. Quercus Section Quercus (White Oak group). 1, Lobe of modern Q. alba from York County Pennsylvania (collection of Wilf, 1997); 2, Subfossil, EMS 425008, showing entire margin with fimbrial vein and retuse, asymmetrical apex.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.
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.
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.