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M = male; F = female; MM = multiple myeloma; NHL = non-Hodgkin lymphoma; AML = acute myeloid leukemia; mp-LD = multi-patients lancing device, HSC = hematopoietic stem cells; CVC = central venous catheter.a) Positive before the first admission.b) Patient never reported symptoms of acute hepatitis and were found to be positive during test performed 6 months after the last admission to oncohematology unit.c) No common donor between patients was found.

CDS Keys

## Overview

CDS Keys is a dataset for object detection tasks - it contains Keys annotations for 1,060 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Current data from 2023-24 school year. Dataset to be updated annually.Data sources:Public Schools (includes charter and Adult): CDE - https://www.cde.ca.gov/schooldirectory/report?rid=dl1&tp=txtPublic Schools enrollment and enhanced location: CDE - https://lacounty.maps.arcgis.com/home/item.html?id=61a4260e68b14a5ab91daf27d4415e7dPrivate Schools type and location: CDE - https://www.cde.ca.gov/schooldirectory/, query for private schoolsPrivate Schools enrollment and contact: CDE - https://www.cde.ca.gov/ds/si/ps/documents/privateschooldata2324.xlsxColleges and Universities: HIFLD - https://hifld-geoplatform.hub.arcgis.com/datasets/geoplatform::colleges-and-universities/aboutPublic schools use location from the CDE AGOL Layer where available. This source assigns X, Y coordinates using a quality controlled geocoding and validation process to optimize positional accuracy, often geocoding to parcel.Field Descriptions:Category1: Always "Education"Category2: School Level Category3: School Type Organization: School District for primary and secondary schools; data maintainer otherwise Source: Source of data (see source links above) Source ID: CDS Code for primary and secondary schools; IPEDS ID for colleges and universities Source Date: Date listed in source Enrollment: School EnrollmentLabel Class: School classification for symbology (matches either Category2 or Category3)Last Update: Date last updated by LA County Enterprise GIS

Cds Depot Counter

## Overview

Cds Depot Counter is a dataset for object detection tasks - it contains Plastic Bottles annotations for 826 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Point data of public and private school sites, specifically primary, secondary, and adult schools and relevant attributes. Provided by SANGIS and hosted by H-Hub at UC San Diego.The types of data in this feature class are school names, spatial locations, addresses, and additional school details (e.g. status of operation, whether the facility is private or public, etc.). School addresses were sourced from the California Department of Education (CDE) and were geocoded using the SanGIS parcels and street centerlines. The attributes from previous School iterations were also updated using aerial imagery, online research, site visits, and over-the-phone verification. Certain points were manually relocated to school buildings. This layer includes not only active schools but also closed schools, district office locations, duplicates of schools at prior addresses or with different cds codes or having closed and reopened, and virtual schools.

C D S Enterprises Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Dataset Card for Dataset Name

This is the dataset that was used to train SynCodonLM. It is made up of roughly 66 million CDS sequences (without introns), from roughly 35,000 species. The github of our model SynCodonLM can be found here:(https://github.com/Boehringer-Ingelheim/SynCodonLM) The Hugging Face of our learned model weights can be found here:(https://huggingface.co/jheuschkel/SynCodonLM).

  Citation

If you use this work, please cite: @article… See the full description on the dataset page: https://huggingface.co/datasets/jheuschkel/cds-dataset.

FYP AI CDS

## Overview

FYP AI CDS is a dataset for object detection tasks - it contains Cheating Student annotations for 2,652 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Cds Logistics Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

The content of the NODC Taxonomic Code, Version 8 CD-ROM (CD-ROM NODC-68) distributed by NODC is archived in this accession. Version 7 of the NODC Taxonomic Code (CD-ROM NODC-35), which does not include Integrated Taxonomic Information System (ITIS) Taxonomic Serial Numbers (TSNs), is also archived in this NODC accession. Prior to 1996, the NODC Taxonomic Code was the largest, most flexible, and widely used of the various coding schemes which adapted the Linnean system of biological nomenclature to modern methods of data storage and retrieval. It was based on a system of code numbers that reflected taxonomic relationships. Hundreds of historic data collections archived at NODC use the NODC Taxonomic Code to encode species identification. With the development and release of ITIS in 1996, NODC published the final version (Version 8) of the NODC Taxonomic Code on CD-ROM. This CD-ROM, provides NODC taxonomic codes along with the equivalent ITIS Taxonomic Serial Numbers to facilitate the transition to a new Integrated Taxonomic Information System (ITIS, http://www.itis.gov/). With the publication of NODC Taxonomic Code Version 8, the NODC code was frozen and discontinued. ITIS assumed responsibility for assigning new TSN codes and for verifying accepted scientific names and synonyms. More information about the Integrated Taxonomic Information System is available at http://www.itis.gov.

Cds Manufacturing Inc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

CDS_project

## Overview

CDS_project is a dataset for object detection tasks - it contains Objects annotations for 4,055 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Get detailed and the latest Software On Cd import data of HS code 85234990 India with customs shipment details as price, date, Indian import port, importers and buyers in India.

About

The protein sequences and protein-coding DNA sequences for the Histone family were sourced from UniProt and NCBI.
Protein-to-DNA pairing was achieved by cross-referencing protein_ids and gene_ids.

  How to use

from datasets import load_dataset

datasets = load_dataset("GenerTeam/histone-cds")

This is data taken from the California Department of Education and reorganized to be useable. Includes all school years from 2014-2015 to 2023-2024 with the exception of 2019-2020.

In California students are tested every year in grades 3-8 and then again in grade 11. These exams are taken in the Spring of each school year.

This dataset covers both the English and the Mathematics exams.

The data also includes gender and race.

One caveat with this data. The State of California does not report data for any demographic that has 10 or fewer students.

The CDS Code is a unique identifier for each school in the state of California. If you absolutely have to know the School Name, Street Address, or Lat/Long, you can use it to look up that info in the CAPubSchools file.

The CAPubSchools file contains all school names going back for several decades prior to this dataset. Thus, it contains a lot of extra data.

Datasets

The related codes are available on my Github TsingZ0 and the related paper is TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation. The full-text is also available here: https://www.researchgate.net/publication/349912702_TLSAN_Time-aware_Long-_and_Short-term_Attention_Network_for_Next-item_Recommendation.

Amazon exposes the official datasets (http://jmcauley.ucsd.edu/data/amazon/) which have filtered out users and items with less than 5 reviews and removed a large amount of invalid data. Because of above advantages, these datasets are widely utilized by researchers. We also chose Amazon's dataset for experiments. In our experiments, only users, items, interactions, and category information are utilized. We do the preprocessing in the following two steps: 1. Remove the users whose interactions less than 10 and the items which interactions less than 8 to ensure the effectiveness of each user and item. 2. Select the users with more than 4 sessions, and select up to 90 behavior records for the remaining users. This step guarantees the existence of long- and short-term behavior records and all behavior records occurred within recent three months.

Statistics (after preprocessing)

171 Global exporters importers export import shipment records of Cds containing and HSN Code 85234990 with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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View details of Cds exports shipment data in March with price, HS codes, major Indian port, countries, exporters, Supplier, quantity and more.