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National Checklists 2017: Martinique Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Martinique collected using effechecka and geonames polygons
Property listings for sale Madrid
<p>This dataset contains the property listings in Madrid as of October 31st, 2021</p> <p>From each listing, we got the following fields:</p> <p><strong>ID</strong>: the listing ID<br> <strong>Listing</strong>: It shows the listing it usually contains the type of property and the street. <br> <strong>Location</strong>: the place of the listing (city, town or neighborhood)<br> <strong>price</strong>: property price<br> <strong>old_price</strong>: previous price before the discount.<br> <strong>discount</strong>: percentage of discount<br> <strong>meters</strong>: size of the property in meters<br> <strong>sq_meter_price</strong>: price of each square meter.<br> <strong>rooms</strong>: number of rooms of the property<br> <strong>floor</strong>: the floor of the property<br> <strong>garage</strong>: It shows if the property has a garage<br> <strong>description</strong>: This field is the description of the property in Spanish.</p> <p>All the data has been scraped from idealista containing the listings as of October 31st, 2021 in Madrid. The process took about 30 hours. </p> <p>Spanish:</p> <p>El dataset contiene los inmuebles listados para su venta en la Comunidad de Madrid a fecha 31 de octubre de 2021.</p> <p>De cada una de las ofertas de venta se han recogido los siguientes campos:</p> <p><strong>ID</strong>: Es el identificador del anuncio<br> <strong>Listing</strong>: Contiene el título del anuncio que normalmente se compone del tipo de vivienda y de la calle en la que se encuentra. <br> <strong>Location</strong>: es la ubicación del inmueble que puede ser la ciudad, el pueblo o el barrio. <br> <strong>price</strong>: precio de venta del inmueble.<br> <strong>old_price</strong>: campo solo disponible en los inmuebles rebajados e indica el precio anterior del inmueble<br> <strong>discount</strong>: porcentaje de descuento del precio.<br> <strong>meters</strong>: metros cuadrados de la vivienda<br> <strong>sq_meter_price</strong>: Precio del metro cuadrado del inmueble<br> <strong>rooms</strong>: Número de habitaciones del inmueble<br> <strong>floor</strong>: Planta del inmueble<br> <strong>garage</strong>: campo que indica si el inmueble dispone de garaje, cuando su valor es nulo indica que no aparece reflejado que disponga de garaje.<br> <strong>description</strong>: Es un campo abierto donde aparece la descripción del inmueble en venta.</p> <p>Los datos han sido extraídos del portal inmobiliario idealista y el dataset contiene los inmuebles listados a fecha 31/10/2021 en la Comunidad de Madrid. Ha sido obtenido mediante un web scraper desarrollado en python en un proceso que ha durado unas 30 horas.</p>
A list of Swedish words that have experienced historical semantic changes
<p>This list contains a set of Swedish words that have experienced semantic change during the past centuries. The list has been collected during the VR funded project <a href="https://languagechange.org/">Towards Computational Lexical Semantic Change Detection</a>, ( 2018-01184) and is a work in progress. Because the work is currently on pause, we have chosen to release the list as is in the hope of facilitating collaboration and use in other research.</p> <p>The list has four columns in the following format:</p> <pre><code>Ord*, Vilken betydelseförändring har skett*, När skedde förändringen, Källor (exv SAOL) word, what change occurred, when the change occur, reference</code></pre> <p><br> Not all fields are filled for every word. Where there are multiple change periods, there are multiple lines with empty values for word and what change occurred, see the example with <em>egendomlig </em>below.</p> <pre><code>egendomlig,som utgör (ngns) egendom > karaktäristisk (positiv) > speciell (negativt!!),"A. Sen 1600tal, ",SAOB ,,B. Sen 1850, ,,"C. Sen ??, efter 190",</code></pre> <p>The .xlsx file contains links to the references.</p> <p>The resources are freely available for education, research and other non-commercial purposes.</p> <p> </p>
S83 | CCL5 | Contaminant Candidate List CCL 5 (Draft)
<p>This is the collection associated with list S83 | CCL5 | Contaminant Candidate List CCL 5 (Draft) on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>The CCL is a list of contaminants that are currently not subject to any proposed or promulgated US primary drinking water regulations, but are known or anticipated to occur in public water systems. From: <a href="https://www.epa.gov/ccl/contaminant-candidate-list-5-ccl-5">https://www.epa.gov/ccl/contaminant-candidate-list-5-ccl-5</a>.</p> <p>Updates: v0.1.1: updated notes to link to Microcystins list: <a href="https://doi.org/10.5281/zenodo.5665355">https://doi.org/10.5281/zenodo.5665355</a>.</p>
List of promoters
<p>These are annotated lists of potential promoters identified by the novel method proposed on the article <strong>Machine learning and statistics shape a novel path in archaeal genome annotation</strong>.</p>
S87 | CHLORINETPS | List of chlorination byproducts of 137 CECs and small disinfection byproducts
<p>This is the collection associated with list S87 CHLORINETPS of chlorination byproducts of 137 CECs and small disinfection byproducts on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>A list of chlorination byproducts of 137 contaminants of emerging concern (CECs) and small molecular weight disinfection byproducts from the CHLORINE_TPs database, described in Postigo et al<a href="https://doi.org/10.1016/j.teac.2021.e00148"> </a>DOI: <a href="https://doi.org/10.1016/j.teac.2021.e00148">10.1016/j.teac.2021.e00148</a>. 91% are amenable to LC-ESI-HRMS. </p>
S88 | UBABIOCIDES | List of Prioritized Biocides from UBA
<p>This is the collection associated with list S88 UBABIOCIDES List of Prioritized Biocides from UBA on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>A merged list of prioritized biocidal active substances provided by UBA (German Environment Agency) with relevant transformation products of various environmental compartments from 10 different entry paths. <a href="https://www.umweltbundesamt.de/sites/default/files/medien/1410/publikationen/addendum_priolisten_final_0.pdf">Addendum</a> released Sept. 2021, updating <a href="https://www.umweltbundesamt.de/en/publikationen/are-biocide-emissions-into-the-environment-already">UBA Texte 114/2017</a>.</p> <p>We gratefully acknowledge German Environment Agency (UBA) for permission to add this dataset to the NORMAN Suspect List Exchange.</p> <p>Change log: v0.1.1: updated CSV</p>
Github Directory Listings Dataset 2021
<p>Directory listings for the HEAD revisions of all publically-accessible Github repositories in the <a href="https://ghtorrent.org/">GHTorrent</a> database dump from 2021-03-06. See the Readme.md file for additional details.</p>
Supporting Dataset for the Analysis on TSO-DSOs Cooperation and Stable Cost Allocation for the Joint Procurement of Flexibility (Network and Bid List)
<p>The data provides supporting material for the two case studies in Chapter 5 of CoordiNet D6.2 (the deliverable is available at <a href="https://coordinet-project.eu/publications/deliverables">https://coordinet-project.eu/publications/deliverables</a>) and the two case studies in paper on TSO-DSO cooperation (available at <a href="https://arxiv.org/abs/2111.12830">https://arxiv.org/abs/2111.12830</a>).</p> <p>The dataset is cooresponding to two case studies. In the first case study, the interconnected system consists of the IEEE 14-bus (TN) transmission network connected to three distribution networks: the Matpower systems 18-bus (DN_18), 69-bus (DN_69), and 141-bus (DN_141). The interface flow limit is TPmax. In the second case study, the interconnected system consists of the IEEE 14-bus (TN) transmission network connected to three Matpower systems 18-bus distribution networks, who are named as DN_1, DN_2, DN_3. </p> <p>All systems topology and some parameters are based on the corresponding cases in Matpower [1]. Base demand is adapted from the case, while base generation profiles are added to all nodes. All distribution systems are balanced, and the transmission system is imbalanced. Thermal limits of the lines are adapted in order to create congestion in the systems. Each distribution system is connected to the transmission system through one line. The interconnected system is fully represented in "Network_XXX.xlsx", in which:</p> <ul> <li>System: transmission (TN) or distribution (DN_XXX);</li> <li>LineID: ID of the lines;</li> <li>BusNumber: number of the nodes within the systems. This parameter is used to define the lines (from/to);</li> <li>BaseDemand and BaseSupply: base active demand and generation of each node;</li> <li>ConnectedDN: distribution system to which the transmission system node is connected to. If blank, the node is not connected to any distribution system. Only for the transmission system;</li> <li>InterfaceCapacity: thermal limit of the interface between the transmission and distribution systems;</li> <li>ThermalLimit: thermal limit of the transmission/distribution systems lines. For distribution systems, a value of 10 indicates that the line has no limit; </li> <li>SFTN: shift factor matrix of the transmission system. Capture the change in the active power flow over a line due to a change in injection or offtake at a node;</li> <li>BaseReactiveDemand and BaseReactiveSupply: base reactive demand and generation at each node. Only for distribution systems;</li> <li>VoltageLB and VoltageUB: lower and upper limits for the magnitude squared of the voltage in each distribution system node. Only for distribution systems;</li> <li>ConnectedTN: identify if the distribution node is connected or not to the transmission system. Only for distribution systems;</li> <li>ResistanceR: resistence of the distribution system lines. Only for distribution systems;</li> <li>ReactanceX: reactance of the distribution system lines. Only for distribution systems.</li> </ul> <p>Flexibility bids are randomly generated in the different nodes. For downward flexibility bids, the prices are drawn from the uniform distribution in the range 10 to 15, and for upward flexibility bids, they are drawn from the range 50 to 55. The bids maximum quantities are generated according to the base demand or supply of the node from which they are connected.. The generated orderbook is presented in "OrderbookTN_XXX.xlsx" (transmission system) and "OrderbookDN_XXX.xlsx" (distribution systems):</p> <ul> <li>OrderID: the ID of the order, to make each order unique;</li> <li>System: the system (TN, DN_XXX) from which the order is offered;</li> <li>BusNumber: the node from which the order is offered;</li> <li>FlexibilitySense: UPWARD for increase in generation or decrease in demand; DOWNWARD for increase in demand or decrease in generation;</li> <li>Price: the submitted order price;</li> <li>Quantity: the maximum quantities of the order.</li> </ul> <p>Source of the systems' topology:</p> <p>[1] R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, “Mat-power: Steady-state operations, planning, and analysis tools for power systems research and education,” IEEE Transactions on power systems, vol. 26, no. 1, pp. 12–19, 2010.</p> <p>Please notice that this dataset does not replace the information provided by Matpower related to the aforementioned systems. It rather uses those systems topology and some of their parameters to build a case study to investigate TSO-DSO coordination market models for the procurement of flexibility. For the full description of these systems, please visit: <a href="https://matpower.org/">MATPOWER – Free, open-source tools for electric power system simulation and optimization</a>.</p>
A list of color, emotion, and human body part concepts
<p>The list includes 220 human body part, color, and emotion concepts. The concepts are based on the available concept sets in <a href="https://concepticon.clld.org/">Concepticon</a> (List et al. <a href="https://aclanthology.org/L16-1379/">2016</a>, <a href="https://doi.org/10.5281/zenodo.596412">2021</a>) and were tagged as <em>human body part </em>(136 concepts), <em>emotion </em>(62 concepts), or <em>color </em>(22 concepts).</p>
Sample accession list for "Malaria protection due to sickle haemoglobin depends on parasite genotype"
<p>This dataset contains a list of sample accessions and associated metadata for <em>P.falciparum</em><br> DNA samples sequenced for the analysis presented in the paper:</p> <p><strong>Malaria protection due to sickle haemoglobin depends on parasite genotype</strong></p> <p>Gavin Band, Ellen M. Leffler, Muminatou Jallow, Fatoumatta Sisay-Joof, Carolyne<br> M. Ndila, Alexander W. Macharia, Christina Hubbart, Anna E. Jeffreys, Kate Rowlands, Thuy<br> Nguyen, Sónia Gonçalves, Cristina V. Ariani, Jim Stalker, Richard D. Pearson, Roberto<br> Amato, Eleanor Drury, Giorgio Sirugo, Umberto d'Alessandro, Kalifa A. Bojang, Kevin<br> Marsh, Norbert Peshu, Joseph W. Saelens, Mahamadou Diakité, Steve M. Taylor10, David J.<br> Conway, Thomas N. Williams, Kirk A. Rockett, Dominic P. Kwiatkowski</p> <p>Nature (2021) doi: <a href="https://doi.org/10.1038/s41586-021-04288-3">10.1038/s41586-021-04288-3</a> <strong>bioRxiv link</strong>: <a href="http://doi.org/10.1101/2021.03.30.437659">doi.org/10.1101/2021.03.30.437659</a>.</p> <p>The data contains: i. a single tab-delimited text file containing accessions and sequence read quality control-related information related to the processing described in [1], and ii. a README file describing the contents of the data in markdown and HTML format. Please see the enclosed README file for full details.</p> <p>A full list of datasets which have been released with this manuscript can be found on the <a href="https://www.malariagen.net/resource/32">MalariaGEN website</a>.</p> <p> </p>
S97 | UBABPAALT | List of Bisphenol A Alternatives from UBA
<p>This is the collection associated with list S97 UBABPAALT List of Bisphenol A Alternatives from UBA on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>A list of Bisphenol A alternatives provided by UBA (German Environment Agency) from <a href="https://www.umweltbundesamt.de/en/publikationen/bewertung-des-endokrinen-potenzials-von-bisphenol">UBA Report 123/2019</a>.</p> <p>We gratefully acknowledge German Environment Agency (UBA) for permission to add this dataset to the NORMAN Suspect List Exchange.</p>
Lists of Uzbek Stopwords
<p>The dataset presents 3 lists of stopwords in the Uzbek language. The lists were constructed using three automatic methods applied to the same corpus. </p> <p>The corpus was constructed by obtaining a source of 25 school textbooks, it was named "School corpus". The total number of words in the "School corpus" is 731156. And them 47165 words are unique words. The corpus can be re-constructed using the list of urls of all files comprised in the corpus. The list is part of the dataset (list_of_urls_of_school_corpus.txt).</p> <p>Description of the methods and the lists:</p> <p>A set of grammar rules and the TDIDF algorithm was used to automatically collect a list of single-word stopwords. 2357 stopwords were collected. The name of the file: stopwords_unigrams.txt.</p> <p>A bigram method was used to extract a list of 4548 bigrams (pairs) of stopwords. The name of the file: stopwords_bigrams.txt.</p> <p>A set of two-word collocations as stopwords was also extracted. The list has 24490 pairs of stopwords. The name of the file: stopwords_bigrams_with_collocations.txt.</p>
S41 | CCL4 | CCL 4 Chemical Candidate List
<p>This is the collection associated with list S41 CCL4 on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>S41 | CCL4 | <strong>CCL 4 Chemical Candidate List</strong></p> <p>Contaminants that are not (yet) regulated in the USA but are known or anticipated to occur in public water systems; from CompTox. Uploaded to CompTox by E. Schymanski/A. Williams.</p> <p>April 2022: added annotations file (containing use information listed at <a href="https://www.epa.gov/ccl/chemical-contaminants-ccl-4">https://www.epa.gov/ccl/chemical-contaminants-ccl-4</a>).</p>
TRESCA D1.2 Desk Research Documents (Reference List)
<p>Documents selected for further analysis within the secondary research process of Deliverable 1.2 (Science Communication and Policy Trend Report) of the H2020 project TRESCA "Trustworthy, Reliable and Engaging Scientific Communication Approaches".</p>
ASHRAE 1836-RP main list of energy efficiency measures
<p>Energy Efficiency Measures (EEMs) play a central role throughout the building energy efficiency industry, and lists of EEMs therefore exist in a variety of resources. However, each of these use different conventions for describing and organizing measures, which presents a major challenge for aggregating information across these resources. The ASHRAE 1836-RP main list of energy efficiency measures was assembled as part of ASHRAE Research Project 1836 in order to discover trends in how existing resources describe and organize EEMs. Analysis of this dataset supported the overall objective of 1836-RP, which was to develop a standardized system for the categorization and characterization of EEMs.</p> <p>The dataset contains the complete list of 3,490 EEMs assembled and analyzed as part of 1836-RP. The EEMs were collected from 16 different source documents during the 1836-RP literature review from September 2019 through July 2020. An initial list of suggested sources was provided by the members of the 1836-RP Project Advisory Board, and additional documents were added through the authors’ literature review.</p> <p>A data dictionary can be found in the README.txt file. Additional information on working with this dataset can be found in the project repository: <a href="https://github.com/retrofit-lab/ashrae-1836-rp-text-mining">https://github.com/retrofit-lab/ashrae-1836-rp-text-mining</a></p>
BY-COVID Work Package 2 List of Resources
<p>Work Package 2: <em>Accessing heterogeneous data across domains and jurisdictions for enabling the downstream processing of COVID-19 and future pandemic episodes data </em>has gathered a relevant list of resources for the following areas: Non-patient related, Human-patient biomolecular, Human-patient clinical and health and socio-economics. </p>
Corpus and list of keywords from Improving sustainable crop protection using population genetics concepts
<p>Corpus extracted in April 2021 from the ISI Web of Science portal (https://www.webofscience.com) with the following request: ‘Plant AND Resistan* AND Durab*’. A first corpus of 2522 articles was built considering all publication years for this extraction. This collection was then refined by categories to remove articles outwith the scope of our search (e.g. related to durable resistant materials for constructions). We also kept only articles cited at least once. The final corpus was composed of 1783 articles from 1979 to 2021:</p> <ul> <li>CORPUS_plant_resistance_durability.zip</li> </ul> <p>List of keywords used for the network presented in the article:</p> <ul> <li>keywords_list.csv</li> </ul>
Reference list related to Carl Paul Caspari
<p>This is a reference list of content related to Carl Paul Caspari. It contains references to articles and books written by and about Caspari. This was collected by researcher Oskar Skarsaune about his work with a biography about Caspari with the title «En Lærd af Guds Naade»: Carl Paul Caspari 1814–1892: En påbegynt biografi som bidrag til norsk teologi- og lærdomshistorie Oskar Skarsaune Oslo 1989/.<br><br>It includes bibliographical tabular data in txt format (text data). </p>
S108 | SINLIST | SIN (Substitute It Now) list of hazardous chemicals by ChemSec
<p>This is the collection associated with list S108 SINLIST SIN (Substitute It Now) list of hazardous chemicals by ChemSec on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>SIN (Substitute It Now) list of hazardous chemicals used in a wide variety of articles, products and manufacturing processes around the globe.The SIN List consists of chemicals that have been identified by the non-profit <a href="https://sinlist.chemsec.org/">ChemSec</a> as being Substances of Very High Concern, based on the criteria defined within REACH, the EU chemicals legislation.The SIN abbreviation – Substitute It Now – implies that these chemicals should be removed as soon as possible as they pose a threat to human health and the environment.<br>The list was kindly provided by Anna Lennquist (ChemSec, Sweden) and Hans Peter Arp (NGI,NTNU, Norway).</p> <p>List updated with new substances on 08 May 2024</p>
ScienceDex guides
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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.