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71 results for “collection management”
Custom Dataset Collected for Energy Manager
<ul> <li>Change directory to inside the dataset</li> <li>Create virtual python environment and install the contents in requirements.txt</li> <li>Run the commands in sample_commands.txt file to get an idea on how the sample_pvm_to_csv.py script works</li> </ul> <p><strong>Data description:</strong><br> Light sensor (APDS9960) - Solar irradiance; Power sensor (INA226) - solar panel open circuit voltage (OCV), solar panel closed circuit current (CCC), solar panel closed circuit shunt voltage (CCSV); DHT22 - temperature and humidity data are collected using a custom setup (check the custom_setup.pdf file), placed indoors, next to a curtain less glass window (the plane of the sensing surfaces were almost 45 degree to the window glass. The spectral distortions made by the glass on the solar irradiance observed is unknown - sorry! The sensors used are INA226, Solar panel (1.5W, 137x81x2.5 mm, 16% efficiency, V & I at peak power :5.5V & 270ma), APDS9960 and DHT22.</p> <p>The custom setup transmits collected data to the server. The server creates a new log file everyday with '.txt' file extension. When the server restarts and begins logging, the first file created has the time information of when the log file was created, suffixed with number '0' before the file extension. This suffix is incremented day by day, until the next interruption to the server, where it create a new log file with the current time and suffix '0', and the whole cycle continues. The log files provided here are raw and unfiltered.<br> <br> A header with 'UTC' time was transmitted by the custom setup to the server whenever it restarts. It contains column information. The sampling period is 0.2s and only the time stamp for the first data is found in the header. The timestamp for the rest is calculated using the index / serial number and the sample period. The index and the data from each sensor are separated by '#'. If a sensor provides multiple data, then those data are separated by ','.</p>
Model Collection of the Business Process Management Academic Initiative
<p>This model collection contains 29,810 models. The collection originates from the BPM Academic Initiative (BPMAI). In 2012, the initial members of this initiative were the following institutions represented by the corresponding professors: Mathias Weske (HPI, University of Potsdam), Marlon Dumas (University of Tartu), Marcello La Rosa (University of Melbourne), Jan Mendling (WU Vienna), Hajo A. Reijers (Utrecht University), Michael Rosemann (Queensland University of Technology, Australia), Jan Recker (University of Cologne, Germany), Wil van der Aalst (RWTH Aachen, Germany), Michael zur Mühlen (Stevens Institute of Technology, Hoboken, NJ) and Frank Leymann (University of Stuttgart), respectively, complemented by Dr. Gero Decker (Signavio GmbH, Berlin). The vendor Signavio provides a <a href="http://www.signavio.com/en/academic.html">free workspace</a> to the members of the BPM Academic Initiative and the models being created are made available for reseach purposes on the Creative Commons licence.</p> <p>The BPM Academic Initiative collection comprises tens of thousands of models, of various process modeling languages, and size. Models of the collection are available in several revisions, which opens a new perspective in researching the way people model.<br> The BPMAI collection is shared in a JSON format. Tools have been developed at HPI, University of Potsdam for efficiently processing these files. See the <a href="https://github.com/tobiashoppe/promnicat">PromniCat project</a>. Note that this project is no longer further developed, so you have to work with the information available there. Various analysis techniques can be applied for these models using the <a href="https://code.google.com/archive/p/jbpt/">jBPT library</a> or <a href="https://code.google.com/archive/p/apromore/">Apromore</a>.</p>
The Collection Management System Collection - Crowd-sourcing a list of digital repository options
<p><strong>The Collection Management System Collection - Crowd-sourcing a list of digital repository options</strong></p> <p>This dataset contains a list of digital repository options for collection management systems. It has been started and complited by Ashley Blewer.<br> The data set contains:</p> <ul> <li>a PDF capture of the blog describing motivation and background, columns of the spreadsheet and further resources; originally published at https://bits.ashleyblewer.com/blog/2017/08/09/collection-management-system-collection/</li> <li>The dataset / spreadsheet of The Collection Management System Collection, originally published at https://docs.google.com/spreadsheets/d/1cXOug3qM0pNNeD_wssiVEv9c0W1Y5I1VDTnSPTk7fb4/<br> The data was exported from the google spreadsheet on November 14th 2020 into the following formats: <ul> <li>PDF</li> <li>XLSX</li> <li>CSV</li> <li>TSV</li> </ul> </li> </ul> <p>The list contains basic information, administration considerations, interface considerations, technical considerations and social considerations for 70 different repository systems.</p>
Illustrative Darwin core archive to input data on a citizen science platform from a collection management system
<p>Illustrative DwC archive to send data from a collection management system to a citizen sciences platform. This illustrative archive displays the specimens used for the trans-institutional and trans-platform pilot project held in the frame of ICEDIG.</p> <p>Further description of its content in the milestone28 document, worpackage 5.2 of the ICEDIG project.</p>
Example structure of data sent from a citizen science platformback to a collection management system, multi-determined case
<p>Illustrative example of data format following Darwin Core sent back from a citizen science platform to the relevant collection management system. Multi-determined herbarium sheet case : http://coldb.mnhn.fr/catalognumber/mnhn/p/p01978557</p> <p>Illustration of the milestone28 document, worpackage 5.2 of the ICEDIG project.</p>
Example structure of data sent from a citizen science platformback to a collection management system, simple case
<p>Illustrative example of data format following Darwin Core sent back from a citizen science platform to the relevant collection management system. Simple case : http://coldb.mnhn.fr/catalognumber/mnhn/p/p03558024</p> <p>Illustration of the milestone28 document, worpackage 5.2 of the ICEDIG project.</p>
Example structure of data sent from a collection management system to a citizen science platform, multi-imaged case
<p>Illustrative example of data format following Darwin Core to send from a collection management system to a citizen science platform. Multi-imaged vertebrate specimen case : http://coldb.mnhn.fr/catalognumber/mnhn/zo/2013-152</p> <p>Illustration of the milestone28 document, worpackage 5.2 of the ICEDIG project.</p>
Example structure of data sent from a collection management system to a citizen science platform, simple case
<p>Illustrative example of data format following Darwin Core to send from a collection management system to a citizen science platform. Simple case : http://coldb.mnhn.fr/catalognumber/mnhn/p/p03558024</p> <p>Illustration of the milestone28 document, worpackage 5.2 of the ICEDIG project.</p>
Data Management Training Clearinghouse Metadata and Collection Statistics Report
<p>This collection contains a snapshot of the learning resource metadata from ESIP's <a href="https://dmtclearinghouse.esipfed.org">Data management Training Clearinghouse</a> (DMTC) associated with the closeout (March 30, 2023) of the Institute of Museum and Library Services funded (Award Number: <a href="https://imls.gov/grants/awarded/lg-70-18-0092-18">LG-70-18-0092-18</a>) <em>Development of an Enhanced and Expanded Data Management Training Clearinghouse project.</em> The shared metadata are a snapshot associated with the final reporting date for the project, and the associated data report is also based upon the same data snapshot on the same date.</p> <p>The materials included in the collection consist of the following:</p> <ul> <li><strong>esip-dev-02.edacnm.org.json.zip</strong> - a zip archive containing the metadata for 587 published learning resources as of March 30, 2023. These metadata include all publicly available metadata elements for the published learning resources with the exception of the metadata elements containing individual email addresses (submitter and contact) to reduce the exposure of these data.</li> <li><strong>statistics.pdf</strong> - an automatically generated report summarizing information about the collection of materials in the DMTC Clearinghouse, including both published and unpublished learning resources. This report includes the numbers of published and unpublished resources through time; the number of learning resources within subject categories and detailed subject categories, the dates items assigned to each category were first added to the Clearinghouse, and the most recent data that items were added to that category; the distribution of learning resources across target audiences; and the frequency of keywords within the learning resource collection. This report is based on the metadata for published resourced included in this collection, <strong>and</strong> preliminary metadata for unpublished learning resources that are not included in the shared dataset. </li> </ul> <p>The metadata fields consist of the following:</p> <table> <thead> <tr> <th scope="col">Fieldname</th> <th scope="col">Description</th> </tr> </thead> <tbody> <tr> <td>abstract_data</td> <td>A brief synopsis or abstract about the learning resource</td> </tr> <tr> <td>abstract_format</td> <td>Declaration for how the abstract description will be represented.</td> </tr> <tr> <td>access_conditions</td> <td>Conditions upon which the resource can be accessed beyond cost, e.g., login required.</td> </tr> <tr> <td>access_cost</td> <td>Yes or No choice stating whether othere is a fee for access to or use of the resource.</td> </tr> <tr> <td>accessibililty_features_name</td> <td>Content features of the resource, such as accessible media, alternatives and supported enhancements for accessibility.</td> </tr> <tr> <td>accessibililty_summary</td> <td>A human-readable summary of specific accessibility features or deficiencies.</td> </tr> <tr> <td>author_names</td> <td>List of authors for a resource derived from the given/first and family/last names of the personal author fields by the system</td> </tr> <tr> <td>author_org<br> - name<br> - name_identifier<br> - name_identifier_type</td> <td> <p><br> - Name of organization authoring the learning resource.<br> - The unique identifier for the organization authoring the resource.<br> - The identifier scheme associated with the unique identifier for the organization authoring the resource.</p> </td> </tr> <tr> <td> <p>authors<br> - givenName<br> - familyName<br> - name_identifier<br> - name_identifier_type</p> </td> <td> <p><br> - Given or first name of person(s) authoring the resource.<br> - Last or family name of person(s) authoring the resource.<br> - The unique identifier for the person(s) authoring the resource.<br> - The identifier scheme associated with the unique identifier for the person(s) authoring the resource, e.g., ORCID.</p> </td> </tr> <tr> <td>citation</td> <td>Preferred Form of Citation.</td> </tr> <tr> <td>completion_time</td> <td>Intended Time to Complete</td> </tr> <tr> <td> <p>contact<br> - name<br> - org<br> - email</p> </td> <td> <p><br> - Name of person(s) who has/have been asserted as the contact(s) for the resource in case of questions or follow-up by resource user.<br> - Name of organization that has/have been asserted as the contact(s) for the resource in case of questions or follow-up by resource user.<br> - (excluded) Contact email address.</p> </td> </tr> <tr> <td>contributor_orgs<br> - name<br> - name_identifier<br> - name_identifier_type<br> - type</td> <td>- Name of organization that is a secondary contributor to the learningresource. A contributor can also be an individual person.<br> - The unique identifier for the organization contributing to the resource.<br> - The identifier scheme associated with the unique identifier for the organization contributing to the resource.<br> - Type of contribution to the resource made by an organization.</td> </tr> <tr> <td>contributors<br> - familyName<br> - givenName<br> - name_identifier<br> - name_identifier_type</td> <td> <p>- Last or family name of person(s) contributing to the resource.<br> - Given or first name of person(s) contributing to the resource.<br> - The unique identifier for the person(s) contributing to the resource.<br> - The identifier scheme associated with the unique identifier for the person(s) contributing to the resource, e.g., ORCID.</p> </td> </tr> <tr> <td> <p>contributors.type</p> </td> <td> <p>Type of contribution to the resource made by a person.</p> </td> </tr> <tr> <td>created</td> <td>The date on which the metadata record was first saved as part of the input workflow.</td> </tr> <tr> <td>creator</td> <td>The name of the person creating the MD record for a resource.</td> </tr> <tr> <td>credential_status</td> <td>Declaration of whether a credential is offered for comopletion of the resource.</td> </tr> <tr> <td> <p>ed_frameworks<br> - name<br> - description<br> - nodes.name</p> </td> <td>- The name of the educational framework to which the resource is aligned, if any. An educational framework is a structured description of educational concepts such as a shared curriculum, syllabus or set of learning objectives, or a vocabulary for describing some other aspect of education such as educational levels or reading ability.<br> - A description of one or more subcategories of an educational framework to which a resource is associated.<br> - The name of a subcategory of an educational framework to which a resource is associated.</td> </tr> <tr> <td>expertise_level</td> <td>The skill level targeted for the topic being taught.</td> </tr> <tr> <td>id</td> <td>Unique identifier for the MD record generated by the system in UUID format.</td> </tr> <tr> <td>keywords</td> <td>Important phrases or words used to describe the resource.</td> </tr> <tr> <td>language_primary</td> <td>Original language in which the learning resource being described is published or made available.</td> </tr> <tr> <td>languages_secondary</td> <td>Additional languages in which the resource is tranlated or made available, if any.</td> </tr> <tr> <td>license</td> <td>A license for use of that applies to the resource, typically indicated by URL.</td> </tr> <tr> <td>locator_data</td> <td>The identifier for the learning resource used as part of a citation, if available.</td> </tr> <tr> <td>locator_type</td> <td>Designation of citation locatorr type, e.g., DOI, ARK, Handle.</td> </tr> <tr> <td>lr_outcomes</td> <td>Descriptions of what knowledge, skills or abilities students should learn from the resource.</td> </tr> <tr> <td>lr_type</td> <td>A characteristic that describes the predominant type or kind of learning resource.</td> </tr> <tr> <td>media_type</td> <td>Media type of resource.</td> </tr> <tr> <td>modification_date</td> <td>System generated date and time when MD record is modified.</td> </tr> <tr> <td>notes</td> <td>MD Record Input Notes</td> </tr> <tr> <td>pub_status</td> <td>Status of metadata record within the system, i.e., in-process, in-review, pre-pub-review, deprecate-request, deprecated or published.</td> </tr> <tr> <td>published</td> <td>Date of first broadcast / publication.</td> </tr> <tr> <td>publisher</td> <td>The organization credited with publishing or broadcasting the resource.</td> </tr> <tr> <td>purpose</td> <td>The purpose of the resource in the context of education; e.g., instruction, professional education, assessment.</td> </tr> <tr> <td>rating</td> <td>The aggregation of input from all user assessments evaluating users' reaction to the learning resource following Kirkpatrick's model of training evaluation.</td> </tr> <tr> <td>ratings</td> <td>Inputs from users assessing each user's reaction to the learning resource following Kirkpatrick's model of training evaluation.</td> </tr> <tr> <td>resource_modification_date</td> <td>Date in which the resource has last been modified from the original published or broadcast version.</td> </tr> <tr> <td>status</td> <td>System generated publication status of the resource w/in the registry as a yes for published or no for not published.</td> </tr> <tr> <td>subject</td> <td>Subject domain(s) toward which the resource is targeted. There may be more than one value for this field.</td> </tr> <tr> <td>submitter_email</td> <td>(excluded) Email address of person who submitted the resource.</td> </tr> <tr> <td>submitter_name</td> <td>Submission Contact Person</td> </tr> <tr> <td>target_audience</td> <td>Audience(s) for which the resource is intended.</td> </tr> <tr> <td>title</td> <td>The name of the resource.</td> </tr> <tr> <td>url</td> <td>URL that resolves to a downloadable version of the learning resource or to a landing page for the resource that contains important contextual information including the direct resolvable link to the resource, if applicable.</td> </tr> <tr> <td>usage_info</td> <td>Descriptive information about using the resource, not addressed by the License information field.</td> </tr> <tr> <td>version</td> <td>The specific version of the resource, if declared.</td> </tr> </tbody> </table> <p> </p>
"I'm something of an untrained, unofficial cultural anthropologist myself. Ihave a business interviewing people to capture their personal histories. I'm always interested how people fit into their world and how they affect their world. I'm a graphic designer who works in the same building as the printing presses that I recorded. Iwalk past the presses every day on my way to talk to the folks in the prepress department. I'm on friendly but not drinking terms with the pressmen. I'm a friend with the prepress manager. Three Heidelberg presses are installed side by side in an open warehouse-like room. The presses are about twenty feet long and about five feet high. With their series of four humps or mounds where each printing cylinder is located, the presses remind one of giant, gray, mechanical caterpillars. Each press has a cyan cylinder, a magenta cylinder, a yellow cylinder and a black cylinder – so the humps are brightly colored. The presses are well lit by banks of fluorescent lights hanging from the ceiling over each press. When you walk into the press room you hear the sound of rock music blaring from a boom box radio mixed with the general din of the presses. It is only when you walk up to a press like Idid for the recordings that you really start to hear the individual strains of clicking, clacking and mechanical, syncopated chattering. When I made my recordings I was intrigued by the subtle variations in the sounds produced by these machines that aren't apparent when you first walk through the door. The pressmen were kind enough to allow me to walk right up to the presses and poke my microphone quite close to the rotating press cylinders. Iuse a Danish Pro Audio microphone about the size of a pencil eraser. An extremely sensitive mic with the capacity for capturing loud sounds such as the presses up close. Rotating the mic to one side or the other focused on the unique sounds coming from one cylinder or the other." [Kevin/KMerrell]18 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"I'm something of an untrained, unofficial cultural anthropologist myself. Ihave a business interviewing people to capture their personal histories. I'm always interested how people fit into their world and how they affect their world. I'm a graphic designer who works in the same building as the printing presses that I recorded. Iwalk past the presses every day on my way to talk to the folks in the prepress department. I'm on friendly but not drinking terms with the pressmen. I'm a friend with the prepress manager. Three Heidelberg presses are installed side by side in an open warehouse-like room. The presses are about twenty feet long and about five feet high. With their series of four humps or mounds where each printing cylinder is located, the presses remind one of giant, gray, mechanical caterpillars. Each press has a cyan cylinder, a magenta cylinder, a yellow cylinder and a black cylinder – so the humps are brightly colored. The presses are well lit by banks of fluorescent lights hanging from the ceiling over each press. When you walk into the press room you hear the sound of rock music blaring from a boom box radio mixed with the general din of the presses. It is only when you walk up to a press like Idid for the recordings that you really start to hear the individual strains of clicking, clacking and mechanical, syncopated chattering. When I made my recordings I was intrigued by the subtle variations in the sounds produced by these machines that aren't apparent when you first walk through the door. The pressmen were kind enough to allow me to walk right up to the presses and poke my microphone quite close to the rotating press cylinders. Iuse a Danish Pro Audio microphone about the size of a pencil eraser. An extremely sensitive mic with the capacity for capturing loud sounds such as the presses up close. Rotating the mic to one side or the other focused on the unique sounds coming from one cylinder or the other." [Kevin/KMerrell]18
Illustrative Darwin core archive to output data from a citizen science platform to a collection management system
<p>Illustrative DwC archive to send data back to a collection management system from a citizen sciences platform. This illustrative archive displays the specimens used for the trans-institutional and trans-platform pilot project held in the frame of ICEDIG.</p> <p>Further description of its content in the milestone28 document, worpackage 5.2 of the ICEDIG project.</p>
Comparing and Combining Existing and Emerging Data Collection and Modeling Strategies in Support of Signal Control Optimization and Management (Project M2)
<p>For decades, traffic signal management agencies have used signal timing optimization tools combined with fine-tuning of signal timing based on field observations in their updates of time-of-day signal timing plans. These traditional signal optimization methods and tools use very limited amount of data and depend on default values in the signal timing optimization/simulation tools to estimate network performance under different signal optimization strategies. In recent years, new data collection technologies are emerging including high resolution controller data, more advanced detection technologies such as video image detection that are based on vehicle tracking and possible integration with microwave detectors, automatic-vehicle based identification technologies, third party crowdsourcing data, connected vehicles, and connected automated vehicles data. The objective of the proposed study is to propose methods and algorithms to combine data collected from existing and emerging sources with enhanced models and optimization algorithms to optimize and manage signal operations. The results from applying the developed methods and algorithms will be compared with traditional signal timing and optimization methods currently used by transportation agencies. </p>
Collected explanations on features and functionalities of four SSI management system products.
<p>Collected textual explanations from the white papers of EverID, uPort, LifeID, and IBM Verify Credentials.</p>
Additional Files for "Assessing the potential of germplasm collections for the management of genetic diversity: the case of the French National Cryobank"
<p>Additional files for the article entitled "Assessing the potential of germplasm collections for managing genetic diversity: the case of the French National Cryobank".</p> <p><strong>Additional file 1: Table S1</strong></p> <p><strong>Title:</strong> Report on the output of material since the creation of the French National Cryobank</p> <p><strong>Additional file 2: Figure S1</strong></p> <p><strong>Title:</strong> Summary of material outputs from the French National Cryobank since 1999</p> <p><strong>Additional file 3: Table S2</strong></p> <p><strong>Title:</strong> Descriptors from the French National Cryobank data for six species</p> <p><strong>Additional file 4: Figure S2</strong></p> <p><strong>Title:</strong> Distribution of data and definition of intervals regarding breed diffusion (A), donor birth-year classes (B), and classes of donor’s age at 1<sup>st</sup> collection (C)</p> <p><strong>Additional file 5: Table S3</strong></p> <p><strong>Title:</strong> Statistics of the number of effective donors (De) according to species</p> <p><strong>Additional file 6: Table S4</strong></p> <p><strong>Title:</strong> Distribution of donors and doses across breeds</p> <p><strong>Description:</strong> In green, the breeds for which the FNC collections meet FAO conditions for reconstitution of an extinct breed. In blue, the breeds for which the collections of the FNC do not yet meet FAO conditions for reconstitution of an extinct breed. In gray, FAO recommendations not available. Based on the 2012 FAO report, with 100 founder females for ruminants and horses, or 30 founder females for pigs (with a pregnancy rate of 0.6).</p> <p><strong>Additional file 7: Figure S3</strong></p> <p><strong>Title:</strong> Evolution of genetic contributions of sires and their production of direct descendants in the French National Cryobank over the period 2011–2020 for three livestock species</p> <p><strong>Description:</strong> Two breeds of pigs are represented in pink (a, b), three breeds of sheep are represented in blue (c, d, e), and five breeds of cattle are represented in ochre (f, g, h, i, j).</p> <p><strong>Additional file 8: Figure S4</strong></p> <p><strong>Title:</strong> Distribution of individual IDIs of cryopreserved sires for the 17 breeds analyzed</p> <p><strong>Description:</strong> Pig breeds are represented in pink, sheep breeds are represented in blue, and cattle breeds are represented in ochre.</p> <p><strong>Additional file 9: Figure S5</strong></p> <p><strong>Title:</strong> Correlation between IDI values and the year of birth of donors</p> <p><strong>Additional file 10: Figure S6</strong></p> <p><strong>Title:</strong> Prediction of IDI values based on donor’s year of birth and the motivation for entry into collection</p> <p><strong>Description:</strong> Type I (for endangered breeds) is represented in purple and type III (for representative individuals of a breed over a period) is represented in orange.</p>
Web scraping and API projects from "Online Data Collection and Management" (Spring 2022)
<p>As part of "Online Data Collection and Management" (taught at Tilburg University, Spring 2022), students collected publicly available datasets for use in academic research projects. With this repository, I am sharing (a) the documentation of these data sets, and (b) the associated source code that led to the collection of the data. The repository also contains the collected datasets.</p> <p>The data consists of the following projects:</p> <ul> <li>Autoscout (electric cars vs gasoline cars in the Dutch market)</li> <li>Mediamarkt (e-commerce)</li> <li>Steam API</li> <li>Twitch (chat capture)</li> <li>Zalando (e-commerce)</li> </ul> <p>Course website: https://odcm.hannesdatta.com. Archived at https://doi.org/10.5281/zenodo.6641811 (check for more recent versions if available).</p>
FIGURE 27. A in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 27. A. Absorbent purified cotton wool wrapped on skewer. B. Coverslips 24 mm x 24 mm with paraffin rings ready for mounting each specimen in a drop of glycerol on a Cobb aluminum slide. C, D. Slide mounting device for Cobb aluminum slides. E. Storage of labels in 4-flap paper envelopes filed in cardboard boxes provided by Klug Conservation. F, G. Storage of labels in Secol polyester slide and negative film preserver sheets housed in a custom-made cardboard file system made by Klug Conservation. Note certificate of deacidification with Bookkeeper™ in front of the labels (F) and sheet of paper behind labels in polyester envelope (G). H, I. Restoration of a microscope slide by soaking the slide in distilled water on a hot plate in the lower part of a Petri dish (Pd) covered with a watch glass (wg) before (H) and after removal of labels and their storage under the top of the Petri dish (I, toPd). Note drops of water dripping back into lower Petri dish (I).
FIGURE 26 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 26. Chemical structure of ingredients of shellac from the hemipteran Kerria lacca and related species.
FIGURE 23 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 23. Chemical structure of monoterpenes, seaquiterpenes, and more volatile ingredients of gum mastic from Pistacia lentiscus.
FIGURE 21 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 21. Chemical structure of the ingredients of gum colophony (= rosin, Greek pitch) from various species of Pinus.
FIGURE 20. A-F in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 20. A-F. Kinorhyncha mounted in Fluoromount G™ between 2002 and 2008 (A, B), 2003 and 2007 (C, D: same slide), and 2006 and 2010 (E) by Sørensen (A-E) and 1999 and 2012 by Herranz (F). Currently not affected mounting medium (mo) with severe deterioration like cavities (ca), platelet-like (A), rectangularly growing (B-D), radially growing (B-E, arrowheads), small chaotic (D) crystals (cy), and segregation of ingredients of mounting medium resulting in formation of bubbles (F). Specimens marked by asterisks. A, DF: DIC; B, C: bright field illumination. Scalebars: A, E, 300 µm; B, C, 2 mm; D, 500 µm; F, 200 µm.
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.