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6,704 results for “reports”
IODP Expedition 376 Gas safety report
<p>This composite report returns data from two different gas chromatograph configurations (GC3 and NGA). Each row combines data from several measurements made on the same sample at the same time for a particular headspace or vacutainer sample. If data do not exist for a particular expedition, the column does not appear. Gas samples were measured by gas chromatography and either flame ionization detection (GC-FID) or thermal conductivity detection (GC-TCD). Reported analytes may include methane, ethane, ethene, propane, propene, n-butane, i-butane, n-pentane, i-pentane, n-hexane, i-hexane, n-heptane, i-heptane, nitrogen, oxygen, carbon monoxide, carbon dioxide, and hydrogen sulfide. When data are available, methane to (ethane + ethene) ratio (C<sub>1</sub>/C<sub>2</sub>�ratio) is reported. To identify individual samples and tests, see each separate analysis (GC3, NGAFID, and/or NGATCD).</p>
IODP Expedition 376 Carbonates composite report
<p>This composite report includes data from two analyses (total carbon from Elemental analysis [CHNS], and inorganic carbon from [Coulometer]). Each row combines the CHNS and Coulometer data from measurements made on the same sample at the same time for a particular section and section offset (depth). If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate data type (Elemental analysis and Coulometer). If the same sample was measured multiple times by any of the methods, results in the report will be combined on one line where possible. Each additional replicate result will be shown in subsequent rows and will be combined where possible. Report includes results for carbon forms: total, inorganic, calcium carbonate, and organic by difference, along with total hydrogen, nitrogen, and sulfur.</p>
Annual Reports Assessment Dataset
<p><strong>Annual reports Assessment Dataset</strong> </p> <p>This dataset will help investors, merchant bankers, credit rating agencies, and the community of equity research analysts explore annual reports in a more automated way, saving them time.</p> <p>Following Sub Dataset(s) are there :</p> <p>a) pdf and corresponding OCR text of 100 Indian annual reports<br> These 100 annual reports are for the 100 largest companies listed on the Bombay Stock Exchange.<br> The total number of words in OCRed text is 12.25 million.</p> <p>b) A Few Examples of Sentences with Corresponding Classes<br> The author defined 16 widely used topics used in the investment community as classes like:</p> <ul> <li>Accounting Standards</li> <li>Accounting for Revenue Recognition</li> <li>Corporate Social Responsbility</li> <li>Credit Ratings</li> <li>Diversity Equity and Inclusion</li> <li>Electronic Voting </li> <li>Environment and Sustainability</li> <li>Hedging Strategy</li> <li>Intellectual Property Infringement Risk</li> <li>Litigation Risk</li> <li>Order Book </li> <li>Related Party Transaction</li> <li>Remuneration</li> <li>Research and Development</li> <li>Talent Management</li> <li>Whistle Blower Policy</li> </ul> <p>These classes should help generate ideas and investment decisions, as well as identify red flags and early warning signs of trouble when everything appears to be proceeding smoothly. </p> <p>ABOUT DATA ::</p> <p>"scrips.json" is a json with name of companies<br> "SC_CODE" is BSE Scrip Id <br> "SC_NAME" is Listed Companies Name<br> "NET_TURNOV" is Turnover on the day of consideration</p> <p>"source_pdf" is folder containing both PDF and OCR Output from Tesseract<br> "raw_pdf.zip" contains raw PDF and it can be used to try another OCR.<br> "ocr.zip" contains json file (annual_report_content.json) containing OCR text for each pdf.<br> "annual_report_content.json" is an array of 100 elements and each element is having two keys "file_name" and "content"</p> <p>"classif_data_rank_freezed.json" is used for evaluation of results<br> contains "sentence" and corresponding "class"</p>
Genome report: Genome sequence of 1S1, a transformable and highly regenerable diploid potato for use as a model for gene editing and genetic engineering
<p>Generation of a genomic resource for a readily transformable diploid potato would provide a resource for high throughput functional analysis in potato. The heterozygous <em>Solanum tuberosum</em> Group Phureja clone 1S1 has a high regeneration rate, self-fertility, desirable tuber traits and is amenable to <em>Agrobacterium</em>-mediated transformation. To create a contiguous genome assembly, a homozygous doubled monoploid of 1S1 (DM1S1) was sequenced using 44 Gbp of long reads generated from Oxford Nanopore Technologies (ONT), yielding a 736 Mb assembly that encoded 31,145 protein-coding genes. The final assembly for DM1S1 represents a nearly complete genic space, shown by the presence of 99.6% (C:99.5%[S:97.8%, D:1.7%],F:0.1%,M:0.4%,n:1614) of the Benchmarking Universal Single Copy Orthologs. Variant analysis with Illumina reads from 1S1 was used to deduce its alternate haplotype using the variant calling tools Strelka2 (v2.9.10), GATK's Haplotypecaller (v4.1.4.1), and Freebayes (v1.3.2). These variants were used to create consensus fasta sequences with the DM1S1 assembly using bcftools (v1.9.64).</p>
Figures 1–2 in A report of intraguild predation by Orthochirus sp. on Hottentotta tamulus (Scorpiones: Buthidae) in Maharashtra, India
Figures 1–2: Figure 1. An adult Orthochirus sp. feeding on a juvenile Hottentotta tamulus. Figure 2. Semi-arid grasslands on the fringes of the northern Western Ghats where this behaviour was observed.
Few-Shot Learning for Issue Report Classification
<p>This dataset is a sample of the NLBSE23 dataset for Issue Report Classification, manually re-labeled.</p>
FALP Radiology Reports: Annotated corpus for distant metastasis detection
<p>A critical task in oncology is extracting information related to cancer metastasis from electronic health records. Metastasis-related information is crucial for planning treatment, evaluating patient prognoses, and conducting cancer research. Unfortunately, findings of distant metastasis are written in radiology reports, often unstructured, making it difficult to extract relevant information automatically. In this study, we created a manually annotated clinical corpus using radiology reports of prostate, colorectal, and breast cancer patients. We developed a named entity recognition model to capture entities of distant metastasis. The entities were subsequently employed in automatically classifying the reports according to the presence or absence of metastasis. The NER model detected distant metastasis mentions with a weighted average F1 score performance of 0.84. Whole reports were finally classified with an F1 score of 0.92 for documents without distant metastasis (M0) and 0.90 for documents with distant metastasis (M1). These results show the model's usefulness in detecting distant metastasis entities in three different types of cancer and the consequent classification of reports.</p> <p>The manually annotated corpus (FALP Radiology Reports Corpus) and annotation guidelines are freely released to the research community.</p> <p>We are releasing the dataset in 2 formats:</p> <ol> <li>conll_files.zip: Contains the annotated corpus in IOB2 format. This corpus is separated into train, text, and development subsets.</li> <li>text_ann_files.zip: Contains the raw text files for each document along with its annotation file in Standoff format</li> </ol> <p>Annotation guidelines can be found in:</p> <p>Ricardo Ahumada, Pablo Báez, Gisselle Caamaño, Jocelyn Garay, & Inti Paredes. (2023). Annotation Guidelines for FALP radiology reports annotated corpus for distant metastasis detection (1.1). Zenodo. https://doi.org/10.5281/zenodo.7623509</p> <p>This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/">http://creativecommons.org/licenses/by-nc-sa/4.0/</a>.</p>
Fig. 4 in Two Asian freshwater snails newly introduced into South Africa and an analysis of alien species reported to date
Fig. 4. Gyraulus chinensis from Amatikulu. Live specimens (4A–B, photos: H. Madsen) and specimen preserved in 70 % ethanol (4C, photo: N. Miranda). The shell of the specimen in 4B shows patches of erosion. Note the pigmented mantle in both live and preserved specimens.
Fig 3 in Two Asian freshwater snails newly introduced into South Africa and an analysis of alien species reported to date
Fig 3. (A) Tree based on 533 nucleotides of the cytochrome c oxidase subunit I mtDNA of lymnaeid samples, with the outgroup Planorbis corneus. (B) Tree based on 360 nucleotides of the mt 16S rDNA of lymnaeid samples, with the outgroup Stagnicola elodes. Numbers on branches represent Bayesian posterior probabilities percentages, neighbour-joining and maximum parsimony bootstrap values, respectively. Only values greater than 50 % are shown; * indicates support of <50 % for distance analysis. Figures adapted from Nadasan (2011). RRA – lymnaeid samples from Amatikulu, South Africa; LND – lymnaeid samples from Durban, South Africa.
Data for Measurement report: Air pollution emission factors of inland river ships under compliance with the 10 parts per million limit for sulfur content in fuel
<p>Since July 1, 2019, China’s domestic diesel fuel has been limited to 10 ppm of sulfur. Hence, to explore the applicability of the “sniffer” method and the distribution and level of inland river ships (IRSs) emission factors (EFs) under this limitation, we installed “sniffer” monitoring equipment, from August 2020 to June 2022, at the Gezhou Dam of the Yangtze River in China and monitored emissions from 8,238 IRSs in total passing through the lock. We partnered with the maritime department to select 100 ships passing through the lock to extract fuel oilsamples for direct fuel sulfur content detection, which determined the true fuel sulfur content of the passing ships. fuel sulfur content.</p> <p>The “sniffer” monitoring equipment included SO<sub>2</sub>, CO<sub>2</sub>, NO, and NO<sub>2</sub> gas sensors, PM<sub>2.5</sub> and PM<sub>10</sub> particulate matter sensors, as well as wind speed, wind direction, temperature, humidity, and pressure sensors.</p>
Code for the publication "DOSE - Global data set of reported sub-national economic output"
<p>The zipped file of this repository contains code and auxiliary data to reproduce the results of the publication:</p> <p>Wenz et al, "DOSE - Global data set of reported sub-national economic output"</p> <p>The respective DOSE database, version2 can be found here: <a href="http://doi.org/10.5281/zenodo.4681305">https://zenodo.org/record/7573249#.Y_RYTnbMI2w</a></p> <p>Please see the README document for descriptions of the required dependencies.</p>
Fig. 4 in Re-examination of Physa mosambiquensis Clessin, 1886 and its relationship with other Aplexinae (Pulmonata: Physidae) reported from Africa
Fig. 4. Map of south-eastern Africa showing Tete, Mozambique, where syntypes of P. mosambiquensis were collected by Peters in the 1840s (Connolly 1925, 1939), relative to the localities where P. marmorata has been collected since 1986. Most localities are contained within the 200 m altitudinal contour.
Fig. 2 A–D in Re-examination of Physa mosambiquensis Clessin, 1886 and its relationship with other Aplexinae (Pulmonata: Physidae) reported from Africa
Fig. 2 A–D. Physa mosambiquensis: (A, B) published drawings: (A) fig. 4 (pl. 54) of Clessin (1886), (B) fig. 23 of Connolly (1925); (C, D) photographs of two syntypes: (C) 'shuttle-shaped' shell, (D) truncated shell.
Fig. 3 in Re-examination of Physa mosambiquensis Clessin, 1886 and its relationship with other Aplexinae (Pulmonata: Physidae) reported from Africa
Fig. 3. ESEM micrograph of the spire of a syntype shell of P. mosambiquensis showing the sutural belt indicated by an arrow. Scale bar = 500 µm.
Supporting publication for 'Prevalence sample-based guidance for reporting 2022 data'
<p>The record is aimed at helping the reporting countries to submit their sample-based level data to the EFSA Data Collection Framework. We include here two excel files and one XML file, and we give below specific information on their use.</p> <p>The two Excel documents help in mapping terms from the matrix catalogue ZOO_CAT_MATRIX used in the aggregated prevalence data model to FoodEx2 codes, and offer examples on how prevalence data can be reported using SSD2 and how data are aggregated afterwards. The XML file is the same example as in the Excel file with similar title but in the XML format that allows for it be uploaded in the Data Collection Framework.</p>
Data for "Measuring Back: Bibliodiversity and the Journal Impact Factor brand. A Case study of IF-journals included in the 2021 Journal Citations Report."
<p>This is the open data for the preprint "Measuring Back: Bibliodiversity and the Journal Impact Factor brand. A Case study of IF-journals included in the 2021 Journal Citations Report."</p>
Figure 7.2 of IPCC-IPBES report - The effects of actions to mitigate climate changes on action to mitigate biodiversity and of actions to mitigate biodiversity loss on actions to mitigate climate change
<p>Here are the underlying data and codes for Figure 7.2 of the IPCC-IPBES report (https://doi.org/10.5281/zenodo.4659158)<br> </p> <p>We decide to represent only the recognized links (positive and negative) in Figure 7.2. The table1 file represents these relationships. If you decide to represent the non-recognized interactions (gray), you should use the table2 file and re-divide it in the code.</p> <p>The code produces the Sankey diagram, which was used to produce Figure 7.2. The order of the nodes was organized manually to represent better the Chapter 7 discussion. After that, you can export the figure and work in an external program.</p> <p>The final figure was produced using PowerPoint and with labels and icons inserted manually. </p>
European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2020/2021
<p>All tables produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2021:</p> <p>- <em>Campylobacter</em></p> <p><em>- E. coli</em></p> <p>- MRSA</p> <p>- <em>Salmonella</em></p> <p>- ESBL</p> <p>Annexes A to F are also included.</p>
IODP Expedition 385 Interstitial water composite report
<p>This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.</p>
IODP Expedition 385 Carbonates composite report
<p>This composite report includes data from two analyses (total carbon from Elemental analysis [CHNS], and inorganic carbon from [Coulometer]). Each row combines the CHNS and Coulometer data from measurements made on the same sample at the same time for a particular section and section offset (depth). If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate data type (Elemental analysis and Coulometer). If the same sample was measured multiple times by any of the methods, results in the report will be combined on one line where possible. Each additional replicate result will be shown in subsequent rows and will be combined where possible. Report includes results for carbon forms: total, inorganic, calcium carbonate, and organic by difference, along with total hydrogen, nitrogen, and sulfur.</p>
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.