cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1285/i15912221v20-21p151
title: Il restauro dei papiri Ossirinchiti greci della Sackler Library di Oxford. Prima campagna (2012).

description: The article provides a report of the first session of work carried out on some unpublished Graeco-egyptian papyri from Oxyrhynchus, kept in the Sackler Library at Oxford.
DOI: 10.1285/i15912221v20-21p17
title: Il PHERC 566: l’Echelao di Epicuro

description: the study of PHerc 566 has allowed the author to read, for the first time, the subscriptio of a work of epicurus entitled Echelaos. this title is not mentioned by other sources, although there are evidences of people with that name lived at the time of epicurus.
DOI: 10.1285/i15912221v20-21p25
title: Cicerone latinogreco. Corpus dei papiri bilingui delle Catilinarie di Cicerone

description: The article contains a revised edition of the four greek word-lists to Cicero’s Catilinarians: PVindob g 30885 a+e, PRyl 61, PVindob l 127 and PSI inv. 2876. These papyrus codices were produced in the Roman pars orientis of the late Antiquity and were thought for the natives of the eastern provinces of the Roman empire who wanted to study latin language and Roman law, with the purpose to make a career in the Roman bureaucracy.
DOI: 10.1285/i15912221v20-21p163
title: Inheritance disputes and violence in women’s petitions from Ptolemaic Egypt

description: This article uses formal petitions to the king or to officials as a source for our knowledge of women’s daily life in Ptolemaic Egypt. In contrast with the use of single petitions as source material, the collection of this corpus permits an inclusive overview of the legal problems women tried to solve independently with an appeal to the authorities. Two problems often recur among the diverse complaints and requests: inheritance disputes and acts of violence. In the first section of this article we look at the documents in which the petitioner complains that the accused claims property that belongs to her by legacy. In the second section we take a closer look at the petitions concerning acts of violence committed against the female petitioner. Although the female petitioners obviously present themselves as victims, these complaints and requests illustrate women’s power to gain and protect property and to undertake legal actions without obvious assistance of family members or others.
DOI: 10.14457/kku.the.2003.62
title: การประกันคุณภาพการให้บริการในเครือข่ายไร้สายแบบสื่อผสมโดยวิธีการจองแถบคลื่นความถี่ในพื้นที่ให้บริการข้างเคียงล่วงหน้า 3 แห่ง /
DOI: 10.14457/kku.res.2005.46
title: การประกันคุณภาพภายใน ของโรงเรียนในกิ่งอำเภอสระใคร สำนักงานเขตพื้นที่การศึกษาหนองคาย เขต 1 /
DOI: 10.15126/surreydata.00807588
title: Semiconductor Quantum Well Lasers With a Temperature-Insensitive Threshold Current
DOI: 10.7289/v54m92hh
title: Hurricane Satellite (HURSAT) from International Satellite Cloud Climatology Project (ISCCP) B1 (Version Superseded)
title: HURSAT B1
DOI: 10.15482/usda.adc/1176959
title: Cover Crop Chart (version 2.0): Helping producers choose cover crops in crop and forage production systems

description: The Cover Crop Chart (v. 2.0) is designed to assist producers with decisions on the use of cover crops in crop and forage production systems. The chart, patterned after the periodic table of elements, includes information on 58 crop species that may be planted individually or in cocktail mixtures. Information on growth cycle, relative water use, plant architecture, seeding depth,  forage quality, pollination characteristics, and nutrient cycling are included for most crop species.

The Cover Crop Chart is easy to use, requiring only Adobe Acrobat software. Using the chart as a guide, users can select individual crop species by clicking on the name which will direct them to additional information about the selected crop. Icons within each crop page return the user to the chart, thereby easily allowing comparisons of different crops.

The Cover Crop Chart represents a compendium of information from multiple sources throughout the U.S. and Canada, and is not based on research conducted at the USDA-ARS Northern Great Plains Research Laboratory (NGPRL). Primary sources of information included the Midwest Cover Crops Council, USDA-SARE, USDA-NRCS PLANTS Database, relevant peer-reviewed journal articles, and the 3rd  edition of  *Managing Cover Crops Profitably* (Andy Clark, Editor).

Information on specific crops is occasionally generalized and/or approximate to accommodate wide variation in geographic/agronomic conditions, and therefore may not reflect performance in on-farm conditions. Accordingly, USDA-ARS makes no guarantee to the performance of specific crops based on information provided within the Cover Crop Chart.

The Cover Crop Chart is produced and distributed by the staff of the USDA-ARS NGPRL, Mandan, ND. Mark Liebig and Holly Johnson contributed to the design and content of the chart with input from NGPRL staff and producers and technicians from the Area IV Soil Conservation Districts of North Dakota and NRCS staff at the Bismarck and Dickinson Field/Area Offices.
DOI: 10.15482/usda.adc/1178783
title: Germplasm Resources Information Network (GRIN)

description: The Germplasm Resources Information Network (GRIN) web server provides germplasm information about plants, animals, microbes and invertebrates.  In 1990, the U.S. Congress authorized establishment of a National Genetic Resources Program (NGRP). It is the NGRP's responsibility to acquire, characterize, preserve, document, and distribute to scientists germplasm of all lifeforms important for food and agricultural production. 
There are more than 500,000 accessions (distinct varieties of plants) in the GRIN database. These accessions represent more than 10,000 species of plants. See the Helps and Hints page if you are having trouble getting your results. The GRIN database is managed by the Database Management Unit (DBMU), while the acquisition of plants is managed by the Plant Exchange Office (PEO).
DOI: 10.6073/pasta/76f1a8a9a773dc397ccea1029f232dca
title: Radiometric and Meteorological Data from Harvard Forest Barn Tower Since 2011
DOI: 10.15482/usda.adc/1171154
title: Agricultural Conservation Planning Framework (ACPF) Database

description: Spatial data on soils, land use, and topography, combined with knowledge of conservation effectiveness can be used to identify alternatives to reduce nutrient discharge from small watersheds. This database was developed to be used in conjunction with the Agricultural Conservation Planning Framework Toolkit.

Data comprise soil survey information and land use. Soil characterization data were extracted from
the NRCS Web Soil Survey (Soil Survey Staff, 2013). Land use coverages were developed to represent agricultural fields and the types and rotations of agricultural crops and other land cover types. Land use boundaries were produced by editing a publicly available USDA field boundaries dataset (pre-2008), with all ownership and county-level attributes removed. To ensure these field polygons were consistent with recent land use, the 2009 Cropland Data Layer (USDA-NASS, 2013) was examined for all fields larger than 16 ha. For those fields with multiple cover types, 2009 National Agricultural Imagery Program (NAIP) aerial photography was used as a basis to manually edit field boundaries. A field was considered to have multiple cover types and was edited if the dominant cover occupied &lt;75% of the field, as indicated by the 2009 Cropland Data Layer. Updated field boundaries were then overlaid with data from USDA-NASS (2013) Cropland Data Layer for 2007 – 2012, and each field was classified to represent crop rotations and land cover using the six-year (2007-2012) sequence of land cover. Six-year land-cover strings (e.g., corn-corn-soybean-corn-soybean-corn) generated for each field were classified to represent major crop rotations, which were dominantly comprised of corn (Zea mays L.) and soybean (Glycine max (L.) Merr) annual row crops.

The database does not include high-resolution digital elevation models (DEMs) derived from LiDAR (light detection and ranging) survey data, although these are needed by the Agricultural Conservation Planning Framework Toolkit and must be obtained independently.
DOI: 10.15482/usda.adc/1171155
title: Agricultural Conservation Planning Framework (ACPF) Toolbox

description: Spatial data on soils, land use, and topography combined with knowledge of conservation effectiveness can be used to reduce nutrient discharge from small watersheds. 
The Agricultural Conservation Planning Framework (ACPF) Toolbox software includes tools to process the LiDAR-based digital elevation models for hydrologic analysis, which then allows a series of prioritization, riparian classification, and conservation-practice placement tools to be used. These toolsets identify agricultural fields most prone to deliver runoff directly to streams, map and classify riparian zones to inform whole-watershed riparian corridor management, and estimate the extent of tile drainage in the watershed. The software maps out suites of locations appropriate to install each of several types of conservation practices. These practice-placement opportunities are mapped for practices including controlled drainage, grassed waterways, water and sediment control basins, and nutrient removal wetlands. Rather than making any recommendations, ACPF provides an inventory of watershed assessment data and conservation placement opportunities across a watershed, in order to inform local watershed planning.

ACPF software requires customized spatial databases that include agricultural field boundaries and land uses, key soil survey information, and LiDAR based elevation data that are all tied to the HUC12 watershed scale.

The software is scheduled to become available on October 1, 2015.
DOI: 10.15482/usda.adc/1173241
title: BBGD: an Online Database for Blueberry Genomic Data

description: http://bioinformatics.towson.edu/BBGD/) was developed as a database for blueberry genomics. BBGD is both a sequence and gene expression database. It stores both EST and microarray data and allows scientists to correlate expression profiles with gene function. BBGD is a public online database. "Presently, the main focus of the database is the identification of genes in blueberry that are significantly induced or suppressed after low temperature exposure. "

To gain a better understanding of changes in gene expression associated with cold acclimation in blueberry, the Rowland laboratory (USDA-ARS, Beltsville, MD)  has undertaken a genomics approach based on the analysis of Expressed Sequence Tags (ESTs). Initially, two standard cDNA libraries were constructed using RNA from cold-acclimated and non-acclimated floral buds of the blueberry cultivar ‘Bluecrop’ (Vaccinium corymbosum L.) and about 1200 5’-end ESTs were generated from each of the libraries. About 100 3’-end ESTs were generated from the cold-acclimated library as well.

The Blueberry EST database contains EST sequences from a number blueberry libraries including cold acclimated and non-acclimated libraries. It also includes forward and reverse subtractive libraries.

You can query the sequence database by clone ID, accession number or gene (clone) name below. Or you can get a list (in tabular) format of all the clones in a particular library by clicking on the library name on the left side navigation bar.
DOI: 10.15482/usda.adc/1173242
title: BBGD454: an Online Database for Blueberry Genomic Data Transcriptome analysis of Blueberry using 454 EST sequencing

description: This database houses over 500,000 sequences that were generated and assembled into approximately 15,000 contigs, annotated and functionally mapped to Gene Ontology (GO) terms.  
Blueberry (Vaccinium corymbosum) is a major berry crop in the United States. Next generation sequencing methodologies, such as 454, have been demonstrated to be successful and efficient in producing a snap-shot of transcriptional activities during an organism’s developmental stage(s) or its response to biotic or abiotic stresses. Such application of this new sequencing technique allows for high-throughput, genome-wide experimental verification of known and novel transcripts. We have applied a high-throughput pyrosequencing technology (454 EST sequencing) for transcriptome profiling of blueberry during different stages of fruit development to gain an understanding of the genes that are up or down regulated during this process. We have also sequenced flower buds at four different stages of cold acclimation to gain a better understanding of the genes and biochemical pathways that are up- or down-regulated during cold acclimation, since extreme low temperatures are known to reduce crop yield and cause major losses to US farmers. We have also sequenced a leaf sample to compare its transcriptome profile with that of bud and fruit samples. Over 500,000 sequences were generated and assembled into approximately 15,000 contigs and were annotated and functionally mapped to Gene Ontology (GO) terms. A database was developed to house these sequences and their annotations. A web based interface was also developed to allow collaborators to search\browse the data and aid in the analysis and interpretation of the data. The availability of these sequences will allow for future advances, such as the development of a blueberry microarray to study gene expression, and will aid in the blueberry genome sequencing effort that is underway.
This work was supported by grant 2008-51180-04861 from the USDA/CSREES Specialty Crop Research Initiative program.
DOI: 10.15482/usda.adc/1173247
title: Composition of Foods Raw, Processed, Prepared USDA National Nutrient Database for Standard Reference, Release 27
DOI: 10.15482/usda.adc/1178137
title: US Federal LCA Commons Life Cycle Inventory Unit Process Template

description: An excel template with data elements and conventions corresponding to the openLCA unit process data model.  Includes LCA Commons data and metadata definitions, and a macro for preparing individual spreadsheets for importing into openLCA desktop applications.
DOI: 10.15482/usda.adc/1178138
title: Rice Data

description: Simple Nucleotide Polymorphism (SNP) Data (12 chromosomes) MY2 SSRs MY2 Traits. 
Genomics and Bioinformatics Research Unit, Stoneville, MS.
DOI: 10.5255/ukda-sn-7674-1
title: Labour Force Survey Household Datasets, 2009-2013: Secure Access
DOI: 10.5255/ukda-sn-6888-11
title: Small- and Medium-Sized Enterprise Finance Monitor, 2011-2014
DOI: 10.6073/pasta/050a6c7c2ff25841b070a0ecab32bc65
title: Ants Under Climate Change at Harvard Forest and Duke Forest since 2009
DOI: 10.6073/pasta/2b29119bc13363b330d5030724b7212a
title: Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991
DOI: 10.15482/usda.adc/1173236
title: LCA Commons

description: Life Cycle Assessment (LCA) is a compilation and evaluation of the inputs, outputs and potential environmental impacts of a product system throughout its life cycle. LCA describes the life cycle as consecutive and interlinked stages of a product system extending from the acquisition of raw materials through materials processing, technology manufacturing/construction, technology use/maintenance/upgrade, and the technology retirement. LCA also provides a framework for understanding economic and social impacts. In an LCA, data are collected at the unit process level, intended to represent a single industrial activity, in this case the food and agriculture industry. Each single industrial activity (a) produces product and sometimes co-products; (b) uses resources from the environment; (c) uses resources from other unit processes in the technosphere; and (d) generates emissions to the environment. In an LCA, the inventory analysis combines unit process data for the life cycle and the impact assessment estimates the impact associated with activities and flows to and from the environment for the inventory. Datasets have been developed for the LCA Commons in response to a national need for data representing US operations. The LCA Commons database is an open access database developed by the United States Department of Agriculture (USDA) National Agricultural Library (NAL) for use in LCAs to support policy assessment, technology implementation decision-making, and publicly disclosed comparative product or technology assertions.

K7612-17: Photo by Scott Bauer; http://www.ars.usda.gov/is/graphics/photos/sep97/k7612-17.htm
DOI: 10.15482/usda.adc/1173250
title: Phytophthora Database

description: This database aims to include Phytophthora collections throughout the world in order to create a global atlas of the diversity and distribution of Phytophthora species.

Phytophthora, an oomycete plant pathogen, is more closely related to brown algae and diatoms than true fungi and has been placed in a separate kingdom, the Stramenopiles 
(Gunderson et al., 1987;   Förster et al., 1990; Leipe et al., 1994). Due to their high virulence and ability to spread rapidly throughout the world, Phytophthora is one of the most important groups of plant pathogens. The destructive potential of Phytophthora diseases is well illustrated by late blight (P. infestans), which was responsible for the Irish potato famine and has again become globally problematic due to the introduction of new, fungicide-resistant lineages (Fry and Goodwin, 1997). Sudden oak death in the US (Rizzo et al., 2002) and diseases on ornamental plants in Europe (Werres et al., 2001), caused by P. ramorum, are examples of the threat to forest ecosystems and the nursery industry.
Toward the goal of enhancing our ability to detect, diagnose, monitor, and manage Phytophthora diseases, we have been systematically cataloging genotypic and phenotypic data of Phytophthora spp. in a web-based database that can be easily accessed and utilized by the global community of plant health professionals. Although we are currently focusing on the genotypic characterization of the isolates archived in the World Phytophthora Collection (WPC; Phytophthora.ucr.edu) at UC-Riverside and in the Pennsylvania Department of Agriculture (PDA), we plan to include Phytophthora collections throughout the world in order to create a global atlas of the diversity and distribution of Phytophthora species. 
This project has been mainly supported by the NRI-Plant Biosecurity program (2005-35605-15393 and 2008-55605-18773) and currently involves the following principal investigators, including Seogchan Kang, David Geiser, and Scott Isard (Penn State), Mike Coffey (UC-Riverside), Joe Russo (ZedX, Inc.), Kelly Ivors (NC State), Frank Martin and Nik Grunwald (USDA-ARS). Grants from the Pennsylvania Department of Agriculture (ME442316 and ME 445580) and a cooperative agreement with USDA-ARS (59-1920-3-304) have also been used to support parts of this project.

Partially supported by Grant from the USDA-AFRI Plant Biosecurity program supported the
establishment and improvement of the PD (2005-35605-15393 and 2008-55605-18773).
DOI: 10.15482/usda.adc/1177465
title: BMC Genomics P. pachyrhizi Supplemental Data
DOI: 10.15482/usda.adc/1178077
title: Predictive Microbiology Information Portal (PMIP)

description: PMIP provides access to predictive models for foodborne pathogens, relevant regulatory policies and guidelines, and microbial data related to pathogenic and spoilage microorganisms in food products.

The models in the Predictive Microbiology Information Portal are mainly from the Pathogen Modeling Program (PMP) of ERRC-ARS-USDA, and currently 15 models are in the portal. The main sources of rules/regulations are links to USDA-FSIS and FDA websites. The microbial growth data are from Combase, which contains about 40,000 data points. It is a relational database that is jointly developed and maintained by the Food Research Institute of UK, ARS-USDA, and the Center of Excellence for Food Safety, Australia. The portal provides a searchable function that the users can use to obtain specific information that is of interest to them. The tutorial provides brief instructions and examples on how to navigate the portal and retrieve  necessary information. The PMIP links users to numerous and diverse resources associated with models (PMP), databases (ComBase) , regulatory requirements, and food safety principles.
DOI: 10.15482/usda.adc/1178139
title: Unit process data for Rapeseed production in the U.S. wheat belt

description: Rapeseed is being considered as a potential feedstock for hydrotreated renewable jet (HRJ) fuel in the USA through its cultivation in rotation with wheat. The goal of this research was to determine the impact of soil C changes, induced through replacing the fallow period with rapeseed in rotation with wheat, and the effects it would have on emission of greenhouse gases (GHG) of rapeseed HRJ. The Intergovernmental Panel on Climate Change (IPCC) (Tier 1) method was used with modifications to determine the changes in soil C of wheat–wheat–rapeseed (WWR) relative to the reference wheat–wheat–fallow (WWF) rotation for 20 years of cultivation. The 27 case scenarios were conducted to study the impacts of changes in management practices (tillage practice and residue input) on changes in soil C for WWR rotation in multiple locations in 10 US states. The CO2 emissions resulting from soil C changes were incorporated into the rapeseed HRJ pathway in order to evaluate the GHG emissions.

These crop production simulations illustrate using the IPCC (Tier 1) method for calculating changes in soil C and the roundtable on sustainable biomaterials (RSB) method for estimating N2O emissions in different locations for the use in modeling the crop production portion of the HRJ lifecycle. Data are archived in a SimaPro .csv file, which can be imported into various life cycle assessment modeling tools.

The locations for cultivation of rapeseed were chosen from the top 5 wheat-producing counties in these states: CA, KS, MT, ND, NE, OK, OR, TX, SD, and WA (USDA 2007), which are the major wheat growing states in the USA. The cropping system of WWR rotation was assumed to be planted on long-term cultivated land, and soil C changes were calculated based on one hectare of land. The use of tillage practices and crop residue managements for wheat cultivation vary across the USA (Horowitz et al. 2010). Therefore, in this study, the cultivation of rapeseed in rotation with wheat was assumed to use a range of tillage practices and residue inputs. In order to simplify the analysis, the same tillage practices were assumed to be adopted for wheat and rapeseed. However, variations of
residue inputs for both crops as low (L), medium (M), and high (H) without manure (Lasco et al. 2006) were included. These levels refer to the amounts of residue produced in growing the crops. Harvesting residues would further reduce residue inputs. However, residue harvest effects are not included in this analysis. The estimates of soil C change for WWR rotation were compared to WWF rotation as the reference system. Although variations of tillage practices are used for fallow rotation, reduced tillage is one of the practices that is commonly used for fallow rotation (Baker 2011). The proposed condition for the reference WWF was assumed to use high residue input for wheat, low residue input for the fallow period (since no crop is typically grown at this time), and reduced tillage for both wheat and fallow.
DOI: 10.5525/gla.researchdata.161
title: Spatially dependent electromagnetically induced transparency
DOI: 10.15482/usda.adc/1173243
title: Data from: BBGD: an online database for blueberry genomic data

description: http://bioinformatics.towson.edu/BBGD/) is a public online database, and was developed for blueberry genomics. BBGD is both a sequence and gene expression database: it stores both EST and microarray data, and allows scientists to correlate expression profiles with gene function. Presently, the main focus of the database is the identification of genes in blueberry that are significantly induced or suppressed after low temperature exposure.