cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15482/usda.adc/25193012.v1
title: <b>Data from: ‘Integrated crop-livestock effects on soil carbon and nitrogen in a semiarid region’</b>

description: Understanding integrated crop-livestock (ICL) management effects on soil carbon and nitrogen can help inform the design of agricultural practices that maintain key soil functions and contribute to agricultural sustainability. In the semiarid northern Great Plains, ICL management effects on soil carbon and nitrogen occur slowly, underscoring the importance of long-term experiments where biophysical metrics are measured consistently over time. In 1999, an ICL experiment was initiated approximately 5 km southwest of Mandan, ND USA on a Temvik-Wilton silt loam soil (USDA: Fine-silty, mixed, superactive frigid Typic and Pachic Haplustoll). The experiment included three residue management treatments, replicated twice: CONTROL (no residue removal), GRAZE (residue removed by livestock grazing), and REMOVED (residue removed by mechanical harvest). Soil properties measured during the study included soil bulk density, total soil nitrogen, soil organic carbon, and soil inorganic carbon. Measurements were made in 1999 (baseline) and 2014. Samples were collected using a hydraulic probe in depth increments of 0-8, 8-15, 15-31, 31-61, 61-91, 91-122 cm. Three cores from each treatment were composited by depth during each sampling. Soil carbon and nitrogen were quantified by the dry combustion method, while soil inorganic carbon was quantified using the volumetric calcimeter method. Data may be used to understand soil property responses to residue management for ICL production systems. Data are generally applicable to cropland under a semiarid Continental climate for the following soil types: Grassna, Linton, Mandan, Temvik, Williams, and Wilton.
DOI: 10.5281/zenodo.17676512
title: ZIF_8/Starch/NiO nanoparticle
DOI: 10.15482/usda.adc/25035926
title: <b>Data from: Response of soil carbon and nitrogen to transplanted alfalfa in North Dakota rangeland</b>

description: Alfalfa (<i>Medicago</i> spp.) interseeded into rangeland has been shown to improve the quantity and quality of forage available for grazing. Information regarding soil responses to interseeded alfalfa in rangeland, however, is lacking. A study was conducted to investigate the effects of alfalfa transplanted into native rangeland on soil organic carbon and total nitrogen. The study was located approximately 5 km south of Mandan, ND USA on a Temvik silt loam soil (USDA: Fine-silty, mixed, superactive frigid Typic Haplustoll). Treatments included three alfalfa cultivars transplanted into rangeland and a native vegetation control. Treatments were applied using a randomized block design with five replications. Soil properties measured during the study included soil bulk density, soil organic carbon, and total soil nitrogen. Measurements were made in 2001 (baseline) and again 2005 following four years of alfalfa growth. Samples were collected using a step-down probe in depth increments of 0-10, 10-20, 20-30, and 30-40 cm. Duplicate cores from each treatment were composited by depth. Soil carbon and nitrogen were quantified by the dry combustion method. Data may be used to understand soil property responses to interseeded alfalfa in rangeland. Data are generally applicable to rangelands under a semiarid Continental climate for the following soil types: Grassna, Linton, Mandan, Temvik, Williams, and Wilton.
DOI: 10.15482/usda.adc/25035926.v1
title: <b>Data from: Response of soil carbon and nitrogen to transplanted alfalfa in North Dakota rangeland</b>

description: Alfalfa (<i>Medicago</i> spp.) interseeded into rangeland has been shown to improve the quantity and quality of forage available for grazing. Information regarding soil responses to interseeded alfalfa in rangeland, however, is lacking. A study was conducted to investigate the effects of alfalfa transplanted into native rangeland on soil organic carbon and total nitrogen. The study was located approximately 5 km south of Mandan, ND USA on a Temvik silt loam soil (USDA: Fine-silty, mixed, superactive frigid Typic Haplustoll). Treatments included three alfalfa cultivars transplanted into rangeland and a native vegetation control. Treatments were applied using a randomized block design with five replications. Soil properties measured during the study included soil bulk density, soil organic carbon, and total soil nitrogen. Measurements were made in 2001 (baseline) and again 2005 following four years of alfalfa growth. Samples were collected using a step-down probe in depth increments of 0-10, 10-20, 20-30, and 30-40 cm. Duplicate cores from each treatment were composited by depth. Soil carbon and nitrogen were quantified by the dry combustion method. Data may be used to understand soil property responses to interseeded alfalfa in rangeland. Data are generally applicable to rangelands under a semiarid Continental climate for the following soil types: Grassna, Linton, Mandan, Temvik, Williams, and Wilton.
DOI: 10.5281/zenodo.17676513
title: ZIF_8/Starch/NiO nanoparticle
DOI: 10.15482/usda.adc/26814136
title: Agriculture and Forestry Greenhouse Gas Inventory Dashboard

description: Every year, USDA provides data, analysis, and support to the U.S. Environmental Protection Agency (EPA) for their <i>Inventory of U.S. Greenhouse Gas Emissions and Sinks</i>, an official submission to the United Nations Framework Convention on Climate Change. USDA provides the data and analysis for the land use, land-use change, and forestry and agriculture chapters as well as the agriculture portion of the energy chapter. Emission and sink estimates are reported in aggregate on a national basis. Periodically, USDA utilizes the same data and methods to produce the <i>U.S. Agriculture and Forestry Greenhouse Gas Inventory</i>, published quadrennially. While the data and methods in both GHG inventories are consistent, the USDA report is disaggregated in order to show specific trends by land use or by region.In an effort to provide users with more timely updates on national and state estimates of emissions from agriculture and forestry, USDA has developed an interactive dashboard that allows users to explore emissions estimates from those sectors which is accompanied by supplemental data that helps provide additional context about the drivers of those emissions. The dashboard was last updated on 14 May 2025 to add a glossary, change LULUC figures to improve readability, and add supplemental datasets to the LULUC sections for cropland and grasslands. Results presented in the dashboard are consistent with USDA's <i>U.S. Agriculture and Forestry GHG Inventory</i>, and EPA's <i>Inventory of U.S. Greenhouse Gas Emissions and Sinks. </i>Data are presented for Cropland Soils (N2O), Enteric Fermentation (CH4), Managed Livestock Waste (CH4 + N2O), Grazed Lands (CH4 + N2O), Rice Cultivation + Residue Burning (CH4 + N2O), Energy Use, Forests, Harvested Wood, Urban Trees, and Agricultural Soils.
DOI: 10.15482/usda.adc/26814136.v2
title: Agriculture and Forestry Greenhouse Gas Inventory Dashboard

description: Every year, USDA provides data, analysis, and support to the U.S. Environmental Protection Agency (EPA) for their <i>Inventory of U.S. Greenhouse Gas Emissions and Sinks</i>, an official submission to the United Nations Framework Convention on Climate Change. USDA provides the data and analysis for the land use, land-use change, and forestry and agriculture chapters as well as the agriculture portion of the energy chapter. Emission and sink estimates are reported in aggregate on a national basis. Periodically, USDA utilizes the same data and methods to produce the <i>U.S. Agriculture and Forestry Greenhouse Gas Inventory</i>, published quadrennially. While the data and methods in both GHG inventories are consistent, the USDA report is disaggregated in order to show specific trends by land use or by region.In an effort to provide users with more timely updates on national and state estimates of emissions from agriculture and forestry, USDA has developed an interactive dashboard that allows users to explore emissions estimates from those sectors which is accompanied by supplemental data that helps provide additional context about the drivers of those emissions. The dashboard was last updated on 14 May 2025 to add a glossary, change LULUC figures to improve readability, and add supplemental datasets to the LULUC sections for cropland and grasslands. Results presented in the dashboard are consistent with USDA's <i>U.S. Agriculture and Forestry GHG Inventory</i>, and EPA's <i>Inventory of U.S. Greenhouse Gas Emissions and Sinks. </i>Data are presented for Cropland Soils (N2O), Enteric Fermentation (CH4), Managed Livestock Waste (CH4 + N2O), Grazed Lands (CH4 + N2O), Rice Cultivation + Residue Burning (CH4 + N2O), Energy Use, Forests, Harvested Wood, Urban Trees, and Agricultural Soils.
DOI: 10.15482/usda.adc/26814136.v1
title: Agriculture and Forestry Greenhouse Gas Inventory Dashboard

description: Every year, USDA provides data, analysis, and support to the U.S. Environmental Protection Agency (EPA) for their <em>Inventory of U.S. Greenhouse Gas Emissions and Sinks</em>, an official submission to the United Nations Framework Convention on Climate Change. USDA provides the data and analysis for the land use, land-use change, and forestry and agriculture chapters as well as the agriculture portion of the energy chapter. Emission and sink estimates are reported in aggregate on a national basis. Periodically, USDA utilizes the same data and methods to produce the <em>U.S. Agriculture and Forestry Greenhouse Gas Inventory</em>, published quadrennially. While the data and methods in both GHG inventories are consistent, the USDA report is disaggregated in order to show specific trends by land use or by region.
In an effort to provide users with more timely updates on national and state estimates of emissions from agriculture and forestry, USDA has developed an interactive dashboard, updated annually, that allows users to explore emissions estimates from those sectors which is accompanied by supplemental data that helps provide additional context about the drivers of those emissions. The data in this dashboard is consistent with both the <em>U.S. Agriculture and Forestry GHG Inventory</em>, and EPA's <em>Inventory of U.S. Greenhouse Gas Emissions and Sinks.</em>
Data are presented for Cropland Soils (N2O), Enteric Fermentation (CH4), Managed Livestock Waste (CH4 + N2O), Grazed Lands (CH4 + N2O), Rice Cultivation + Residue Burning (CH4 + N2O), Energy Use, Forests, Harvested Wood, Urban Trees, and Agricultural Soils.
DOI: 10.15482/usda.adc/29920685
title: Data from: The efficacy of inactivated vaccine against H5 clade 2.3.4.4b highly pathogenic avian influenza virus in turkeys

description: The global outbreak of clade 2.3.4.4b H5N1 highly pathogenic avian influenza (HPAI) virus has caused tremendous losses in poultry. Although turkeys are a smaller sector in poultry production compared to chickens, they tend to be affected more severely by HPAI virus because they can usually be infected with a lower dose of influenza A virus than chickens (i.e., they are more susceptible). Exposure to non-replicating proteins may help control HPAI, however data with turkeys are somewhat limited regarding how well they work and approaches to modifying surveillance have not been developed. Here, an H5N9 non-replicating protein comprised of a clade 2.3.4.4b H5 hemagglutinin from A/turkey/Indiana/22-003707-003/2022 (TK/IN/22) and a North American wild bird lineage N9 was evaluated in commercial broad breasted white turkeys by challenge to live virus. Turkeys were divided into three groups, where each group was exposed to the non-replicating protein once at 3 (3wk), 7 (7wk), or 9 (9wk) weeks of age. All birds were challenged at 10 weeks of age with TK/IN/22 HPAIV. There was 100% survival in all groups except the sham exposure group which had 100% mortality. A significant decrease in viral shedding was observed in all exposed groups compared to the shams, although the 9wk group shed significantly higher quantities by the cloacal route at seven days post challenge (DPC) compared to the 3wk group. The neuraminidase inhibition-enzyme linked lectin assay (NI-ELLA) was used as a serological test that was able to detect antibody in birds that had been infected after exposure and challenge based on antibodies to the NA protein of the challenge virus (N1 NA) in serum collected 7, 10 and 14DPC. Between 50 and 90% of turkeys, depending on age at exposure, were positive by NI-ELLA at 7DPC and 100% were positive at 14DPC regardless of age at exposure.
DOI: 10.15482/usda.adc/29920685.v1
title: Data from: The efficacy of inactivated vaccine against H5 clade 2.3.4.4b highly pathogenic avian influenza virus in turkeys

description: The global outbreak of clade 2.3.4.4b H5N1 highly pathogenic avian influenza (HPAI) virus has caused tremendous losses in poultry. Although turkeys are a smaller sector in poultry production compared to chickens, they tend to be affected more severely by HPAI virus because they can usually be infected with a lower dose of influenza A virus than chickens (i.e., they are more susceptible). Exposure to non-replicating proteins may help control HPAI, however data with turkeys are somewhat limited regarding how well they work and approaches to modifying surveillance have not been developed. Here, an H5N9 non-replicating protein comprised of a clade 2.3.4.4b H5 hemagglutinin from A/turkey/Indiana/22-003707-003/2022 (TK/IN/22) and a North American wild bird lineage N9 was evaluated in commercial broad breasted white turkeys by challenge to live virus. Turkeys were divided into three groups, where each group was exposed to the non-replicating protein once at 3 (3wk), 7 (7wk), or 9 (9wk) weeks of age. All birds were challenged at 10 weeks of age with TK/IN/22 HPAIV. There was 100% survival in all groups except the sham exposure group which had 100% mortality. A significant decrease in viral shedding was observed in all exposed groups compared to the shams, although the 9wk group shed significantly higher quantities by the cloacal route at seven days post challenge (DPC) compared to the 3wk group. The neuraminidase inhibition-enzyme linked lectin assay (NI-ELLA) was used as a serological test that was able to detect antibody in birds that had been infected after exposure and challenge based on antibodies to the NA protein of the challenge virus (N1 NA) in serum collected 7, 10 and 14DPC. Between 50 and 90% of turkeys, depending on age at exposure, were positive by NI-ELLA at 7DPC and 100% were positive at 14DPC regardless of age at exposure.
DOI: 10.15482/usda.adc/25790394
title: Data and code from: A high throughput approach for measuring soil slaking index

description: This dataset includes soil wet aggregate stability measurements from the Upper Mississippi River Basin LTAR site in Ames, Iowa. Samples were collected in 2021 from this long-term tillage and cover crop trial in a corn-based agroecosystem.
We measured wet aggregate stability using digital photography to quantify disintegration (slaking) of submerged aggregates over time, similar to the technique described by Fajardo et al. (2016) and Rieke et al. (2021). However, we adapted the technique to larger sample numbers by using a multi-well tray to submerge 20-36 aggregates simultaneously. We used this approach to measure slaking index of 160 soil samples (2120 aggregates).
This dataset includes slaking index calculated for each aggregates, and also summarized by samples. There were usually 10-12 aggregates measured per sample.
We focused primarily on methodological issues, assessing the statistical power of slaking index, needed replication, sensitivity to cultural practices, and sensitivity to sample collection date. We found that small numbers of highly unstable aggregates lead to skewed distributions for slaking index. We concluded at least 20 aggregates per sample were preferred to provide confidence in measurement precision. However, the experiment had high statistical power with only 10-12 replicates per sample. Slaking index was not sensitive to the initial size of dry aggregates (3 to 10 mm diameter); therefore, pre-sieving soils was not necessary. The field trial showed greater aggregate stability under no-till than chisel plow practice, and changing stability over a growing season. These results will be useful to researchers and agricultural practitioners who want a simple, fast, low-cost method for measuring wet aggregate stability on many samples.
DOI: 10.15482/usda.adc/25790394.v1
title: Data and code from: A high throughput approach for measuring soil slaking index

description: This dataset includes soil wet aggregate stability measurements from the Upper Mississippi River Basin LTAR site in Ames, Iowa. Samples were collected in 2021 from this long-term tillage and cover crop trial in a corn-based agroecosystem.
We measured wet aggregate stability using digital photography to quantify disintegration (slaking) of submerged aggregates over time, similar to the technique described by Fajardo et al. (2016) and Rieke et al. (2021). However, we adapted the technique to larger sample numbers by using a multi-well tray to submerge 20-36 aggregates simultaneously. We used this approach to measure slaking index of 160 soil samples (2120 aggregates).
This dataset includes slaking index calculated for each aggregates, and also summarized by samples. There were usually 10-12 aggregates measured per sample.
We focused primarily on methodological issues, assessing the statistical power of slaking index, needed replication, sensitivity to cultural practices, and sensitivity to sample collection date. We found that small numbers of highly unstable aggregates lead to skewed distributions for slaking index. We concluded at least 20 aggregates per sample were preferred to provide confidence in measurement precision. However, the experiment had high statistical power with only 10-12 replicates per sample. Slaking index was not sensitive to the initial size of dry aggregates (3 to 10 mm diameter); therefore, pre-sieving soils was not necessary. The field trial showed greater aggregate stability under no-till than chisel plow practice, and changing stability over a growing season. These results will be useful to researchers and agricultural practitioners who want a simple, fast, low-cost method for measuring wet aggregate stability on many samples.
DOI: 10.5281/zenodo.10426415
title: Space Weather ElectroMagnetic Database for Ireland (SWEMDI)

description: This is a database containing electromagnetic (EM) data that can contribute to better understand and quantify the electric fields caused by space weather events at the Earth's surface, and the physical properties of Ireland’s lithosphere. The database is named Space Weather Electromagnetic Database for Ireland (SWEMDI).

It contains measured electromagnetic time series using magnetotelluric equipment, electromagnetic tensor relationships, 3D electrical resistivity model of Ireland's lithosphere, modelled electric and magnetic time series for Ireland between 1991 and 2018, documents and publications that used parts of this database, and a series of scripts that were used to generate the database.
DOI: 10.5281/zenodo.10426416
title: Space Weather ElectroMagnetic Database for Ireland (SWEMDI)

description: This is a database containing electromagnetic (EM) data that can contribute to better understand and quantify the electric fields caused by space weather events at the Earth's surface, and the physical properties of Ireland’s lithosphere. The database is named Space Weather Electromagnetic Database for Ireland (SWEMDI).

It contains measured electromagnetic time series using magnetotelluric equipment, electromagnetic tensor relationships, 3D electrical resistivity model of Ireland's lithosphere, modelled electric and magnetic time series for Ireland between 1991 and 2018, documents and publications that used parts of this database, and a series of scripts that were used to generate the database.
DOI: 10.15468/dl.be4y6h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chalcopteryx machadoi",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003005-251120083545085/datasets/export for details.
DOI: 10.15482/usda.adc/25653201
title: Data from: Woody perennial polycultures increase ant diversity and ant-mediated ecosystem services compared to conventional corn-soybean rotations

description: Data files for manuscript titled "Woody perennial polycultures increase ant diversity and ant-mediated ecosystem services compared to conventional corn-soybean rotations".Excel file with 4 tabs: Metadata, abundance and richness, community composition, and sentinel prey consumption.Abstract from paper: The role plant diversity has played in regulating insect communities has been of interest for decades. Recent syntheses from agroecosystems suggest increasing plant diversity can positively affect beneficial insects like predators, reducing pest pressure and increasing yield. However, the agricultural landscape of the Midwestern United States is dominated by just two crops - corn and soybean - which cover approximately 180 million acres of arable land yearly. New ideas to conserve wildlife that additionally provide economic opportunities for farmers must be developed in order to promote sustainable and resilient ecosystems. Here we tested the capacity of an alternative cropping system to support more diverse insect populations than conventional cropping systems. We quantified differences in the diversity of an insect taxon, ants (Hymenoptera: Formicidae), over an annual cycle using pitfall traps in thirty-two 2-m<sup>2</sup> plots of either woody perennial polycultures that contained apples, chestnuts, currants, hazelnuts, and raspberries or conventional corn-soybean rotations. In doing so, we found that woody perennial polycultures supported 2.4-fold more ant species and maintained a unique fauna of specialist and predatory ants. The observed differences in diversity were linked to higher levels of predation as 18.2-fold more sentinel prey were consumed during each month of the growing season. Combined, our results suggest that agricultural landscapes in the Midwestern United States can be modified to support important beneficial insects like ants while still producing commodities that can be economically beneficial to farmers.