cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4n2wgk
title: Occurrence Download

description: A dataset containing 772 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater Lamprey Survey Data"
 ]
}

 The dataset includes 772 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006013-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mp3we
title: Occurrence Download

description: A dataset containing 274096 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Autographa gamma (Linnaeus, 1758)"
 ]
}

 The dataset includes 274096 records from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010560-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15155666
title: Table 1 in Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies

description: Table 1 Compounds identified in Scabiosa atropurpurea extract by LC-ESI-FT-MS, LC-ESI-FT-MS/MS analysis and NMR spectroscopy.
NumbersRt[M-H] -[M+46] -Molecular FormulappmMS/MSIdentity15.11375.1302C16 H24 O104.3283/199loganic acid25.55389.1019C16 H22 O113345/209/165/121eustomoside35.94373.1143C16 H22 O103.8211secologanic acid46.53353.0881C16 H18 O93.91914-caffeoylquinic acid56.87357.1194403.1247C16 H22 O94.01371/223/179/121sweroside67.59433.1353C18 H26 O122.8301quercetin 3- O -β- D arabinopyranoside77.96593.1515613.2142C27 H30 O151.5284/198kaempferol 3- O -β- D- rhamnoglucopyranoside88.21593.1516C27 H30 O152.6575/357/339luteolin 7- O -β- D- rhamnoglucopyranoside98.33447.0935C21 H20 O113.0429/357/327luteolin-7- O -β- D-glucopyranoside108.45461.1093C22 H22 O113.19341/313/298diosmetin 6-C- glucopyranoside118.81529.1351C26 H25 O121.92367/1734- O -feruloyl-5- O -caffeoylquinic acid acid129.05577.1570C27H30O143.1431apigenin-7- O -β- D -rhamnoglucopyranoside139.10747.2730793.2783C33 H48 O191.4585/485/283sylvestroside I149.29463.0883C21 H20 O122.8301quercetin 3- O -β- D glucopyranoside159.97745.2572791.2625C33 H46 O191.6629/495/459/283cantleyoside1610.09585.2200631.2251C27 H38 O142.8473/283laciniatoside V1710.57615.2302661.2358C28 H40 O153.8583/373laciniatoside VI1810.68515.1203C25 H24 O123.6353/2993,4-dicaffeoylquinic acid1910.80791.2991837.3035C35 H52 O201.5629/495cantleyoside dimethyl acetal2011.02515.1201C25 H24 O123.2353/2993,5-dicaffeoylquinic acid2111.14583.2039C27 H36 O143373/551sylvestroside IV2211.37583.2039C27 H36 O142.9373/551sylvestroside III2311.48419.1548C18 H28 O111.2239/213/195secologanin-methyl-hemiacetal2412.69629.2460C29 H42 O153583/473sylvestroside III dimethyl acetal2513.73875.3870C48 H60 O152.55831/713/495/459/503atropurpurin A2613.78713.3360C35H54O152.6551pteroceside A2714.57671.1465717.3350C32 H48 O153.07461/495/281pteroceside C2814.69833.3356C45 H54 O152.6671/495/459atropurpurin B
description: Published as part of Kılınc, Hilal, Masullo, Milena, Lauro, Gianluigi, D'Urso, Gilda, Alankus, Ozgen, Bifulco, Giuseppe & Piacente, Sonia, 2023, Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies, pp. 3 in Phytochemistry (113471) 205 on page 3, DOI: 10.1016/j.phytochem.2022.113471, http://zenodo.org/record/8160618
DOI: 10.5281/zenodo.15155668
title: Table 2 1 H and 13 C in Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies

description: Table 2 1 H and 13 C NMR data (J in Hz) of compounds 23, 25 and 28 (CD OD, 600 MHz). 3
232528δCδHδCδHδCδH197.25.54, d (8.5)97.65.32, d (8.5)97.65.32, d (8.5)2––3153.07.44, s152.97.45, s152.97.45, s4113.1–112.0–112.0–529.12.94, m33.03.16, td33.03.16, td(8.0, 8.0,(8.0, 8.0,6.0)6.0)633.02.10, ddd40.62.36, dd40.62.36, dd(14.0, 5.9,(14.0, 8.0)(14.0, 8.0)1.5)1.78, ddd1.78, ddd1.67, ddd(14.0, 6.0,(14.0, 6.0,(14.0, 5.2,5.0)5.0)4.0)7103.84.53, dd78.95.24, br t78.95.24, br t(5.9, 5.2)(5.0)(5.0)8135.75.76, ddd41.22.17, m41.22.17, m(7.5, 10.5,17.7)944.32.69, brdt47.52.12, ddd47.52.12, ddd(8.5, 7.5)(10.8, 8.5,(10.8, 8.5,8.0)8.0)10120.05.33,13.41.10, d (6.8)13.41.10, d (6.8)d (17.7)5.30,d (10.5)11168.2–169.0–169.0–-OCH 351.83.72, s51.53.72, s51.53.72, s1’97.25.54, d (8.5)97.25.54, d (8.5)2’3’153.47.47, s153.47.47, s4’113.1–113.1–5’29.52.97, m29.52.97, m6’34.02.13, ddd34.02.13, ddd(14.0, 6.3,(14.0, 6.3,1.5)1.5)1.68, ddd1.68, ddd(14.0, 5.2,(14.0, 5.2,4.0)4.0)7’103.84.60, dd103.84.60, dd(5.9, 5.2)(5.9, 5.2)8’136.05.76, ddd136.05.76, ddd(7.5, 10.5,(7.5, 10.5,17.7)17.7)9’45.52.71, brdt45.52.71, brdt(8.5, 7.5)(8.5, 7.5)10’120.05.35,120.05.35,d (17.7)d (17.7)5.30,5.30,d (10.5)d (10.5)11’168.2–168.2–-OCH 353.23.32, s53.53.33, s1’’67.03.63, m67.03.63, m3.44, m3.44, m2’’33.21.55, m33.21.55, m(2 H)(2 H)3’’20.81.42, m20.81.42, m(2 H)(2 H)4’’14.60.97, t (7.4,14.60.97, t (7.4,3 H)3 H)1’’ꞌ67.03.63, m3.45, m2’’ꞌ33.21.55, m(2 H)3’’ꞌ20.81.42, m(2 H)4’’ꞌ14.60.97, t (7.4,3 H)β- D-GlcI (at C-1)β- D-GlcI (at C-1)β- D-GlcI (at C-1)199.74.71, d (7.8)100.34.70, d (7.8)100.34.70, d (7.8)274.33.22, dd74.93.21, dd74.93.21, dd(7.8, 9.0)(7.8, 9.0)(7.8, 9.0)378.878.478.4
description: Published as part of Kılınc, Hilal, Masullo, Milena, Lauro, Gianluigi, D'Urso, Gilda, Alankus, Ozgen, Bifulco, Giuseppe & Piacente, Sonia, 2023, Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies, pp. 4 in Phytochemistry (113471) 205 on page 4, DOI: 10.1016/j.phytochem.2022.113471, http://zenodo.org/record/8160618
DOI: 10.5281/zenodo.15155667
title: Table 1 in Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies

description: Table 1 Compounds identified in Scabiosa atropurpurea extract by LC-ESI-FT-MS, LC-ESI-FT-MS/MS analysis and NMR spectroscopy.
NumbersRt[M-H] -[M+46] -Molecular FormulappmMS/MSIdentity15.11375.1302C16 H24 O104.3283/199loganic acid25.55389.1019C16 H22 O113345/209/165/121eustomoside35.94373.1143C16 H22 O103.8211secologanic acid46.53353.0881C16 H18 O93.91914-caffeoylquinic acid56.87357.1194403.1247C16 H22 O94.01371/223/179/121sweroside67.59433.1353C18 H26 O122.8301quercetin 3- O -β- D arabinopyranoside77.96593.1515613.2142C27 H30 O151.5284/198kaempferol 3- O -β- D- rhamnoglucopyranoside88.21593.1516C27 H30 O152.6575/357/339luteolin 7- O -β- D- rhamnoglucopyranoside98.33447.0935C21 H20 O113.0429/357/327luteolin-7- O -β- D-glucopyranoside108.45461.1093C22 H22 O113.19341/313/298diosmetin 6-C- glucopyranoside118.81529.1351C26 H25 O121.92367/1734- O -feruloyl-5- O -caffeoylquinic acid acid129.05577.1570C27H30O143.1431apigenin-7- O -β- D -rhamnoglucopyranoside139.10747.2730793.2783C33 H48 O191.4585/485/283sylvestroside I149.29463.0883C21 H20 O122.8301quercetin 3- O -β- D glucopyranoside159.97745.2572791.2625C33 H46 O191.6629/495/459/283cantleyoside1610.09585.2200631.2251C27 H38 O142.8473/283laciniatoside V1710.57615.2302661.2358C28 H40 O153.8583/373laciniatoside VI1810.68515.1203C25 H24 O123.6353/2993,4-dicaffeoylquinic acid1910.80791.2991837.3035C35 H52 O201.5629/495cantleyoside dimethyl acetal2011.02515.1201C25 H24 O123.2353/2993,5-dicaffeoylquinic acid2111.14583.2039C27 H36 O143373/551sylvestroside IV2211.37583.2039C27 H36 O142.9373/551sylvestroside III2311.48419.1548C18 H28 O111.2239/213/195secologanin-methyl-hemiacetal2412.69629.2460C29 H42 O153583/473sylvestroside III dimethyl acetal2513.73875.3870C48 H60 O152.55831/713/495/459/503atropurpurin A2613.78713.3360C35H54O152.6551pteroceside A2714.57671.1465717.3350C32 H48 O153.07461/495/281pteroceside C2814.69833.3356C45 H54 O152.6671/495/459atropurpurin B
description: Published as part of Kılınc, Hilal, Masullo, Milena, Lauro, Gianluigi, D'Urso, Gilda, Alankus, Ozgen, Bifulco, Giuseppe & Piacente, Sonia, 2023, Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies, pp. 3 in Phytochemistry (113471) 205 on page 3, DOI: 10.1016/j.phytochem.2022.113471, http://zenodo.org/record/8160618
DOI: 10.5281/zenodo.15155669
title: Table 2 1 H and 13 C in Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies

description: Table 2 1 H and 13 C NMR data (J in Hz) of compounds 23, 25 and 28 (CD OD, 600 MHz). 3
232528δCδHδCδHδCδH197.25.54, d (8.5)97.65.32, d (8.5)97.65.32, d (8.5)2––3153.07.44, s152.97.45, s152.97.45, s4113.1–112.0–112.0–529.12.94, m33.03.16, td33.03.16, td(8.0, 8.0,(8.0, 8.0,6.0)6.0)633.02.10, ddd40.62.36, dd40.62.36, dd(14.0, 5.9,(14.0, 8.0)(14.0, 8.0)1.5)1.78, ddd1.78, ddd1.67, ddd(14.0, 6.0,(14.0, 6.0,(14.0, 5.2,5.0)5.0)4.0)7103.84.53, dd78.95.24, br t78.95.24, br t(5.9, 5.2)(5.0)(5.0)8135.75.76, ddd41.22.17, m41.22.17, m(7.5, 10.5,17.7)944.32.69, brdt47.52.12, ddd47.52.12, ddd(8.5, 7.5)(10.8, 8.5,(10.8, 8.5,8.0)8.0)10120.05.33,13.41.10, d (6.8)13.41.10, d (6.8)d (17.7)5.30,d (10.5)11168.2–169.0–169.0–-OCH 351.83.72, s51.53.72, s51.53.72, s1’97.25.54, d (8.5)97.25.54, d (8.5)2’3’153.47.47, s153.47.47, s4’113.1–113.1–5’29.52.97, m29.52.97, m6’34.02.13, ddd34.02.13, ddd(14.0, 6.3,(14.0, 6.3,1.5)1.5)1.68, ddd1.68, ddd(14.0, 5.2,(14.0, 5.2,4.0)4.0)7’103.84.60, dd103.84.60, dd(5.9, 5.2)(5.9, 5.2)8’136.05.76, ddd136.05.76, ddd(7.5, 10.5,(7.5, 10.5,17.7)17.7)9’45.52.71, brdt45.52.71, brdt(8.5, 7.5)(8.5, 7.5)10’120.05.35,120.05.35,d (17.7)d (17.7)5.30,5.30,d (10.5)d (10.5)11’168.2–168.2–-OCH 353.23.32, s53.53.33, s1’’67.03.63, m67.03.63, m3.44, m3.44, m2’’33.21.55, m33.21.55, m(2 H)(2 H)3’’20.81.42, m20.81.42, m(2 H)(2 H)4’’14.60.97, t (7.4,14.60.97, t (7.4,3 H)3 H)1’’ꞌ67.03.63, m3.45, m2’’ꞌ33.21.55, m(2 H)3’’ꞌ20.81.42, m(2 H)4’’ꞌ14.60.97, t (7.4,3 H)β- D-GlcI (at C-1)β- D-GlcI (at C-1)β- D-GlcI (at C-1)199.74.71, d (7.8)100.34.70, d (7.8)100.34.70, d (7.8)274.33.22, dd74.93.21, dd74.93.21, dd(7.8, 9.0)(7.8, 9.0)(7.8, 9.0)378.878.478.4
description: Published as part of Kılınc, Hilal, Masullo, Milena, Lauro, Gianluigi, D'Urso, Gilda, Alankus, Ozgen, Bifulco, Giuseppe & Piacente, Sonia, 2023, Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies, pp. 4 in Phytochemistry (113471) 205 on page 4, DOI: 10.1016/j.phytochem.2022.113471, http://zenodo.org/record/8160618
DOI: 10.5281/zenodo.15155670
title: Table 3 in Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies

description: Table 3 Total phenolic content and radical scavenging activity of S. atropurpurea methanol extract in DPPH and TEAC assays.
Total Phenolic ContentDPPH •ABTS •+GAE a SD dEC b SD d 50TEAC c SD d7.60 ± 0.264.80 ± 0.060.28 ± 0.03a Values are expressed as gallic acid equivalents (GAE) mg/g of dried extract.b Values are expressed as μg/mL. c Values are expressed as concentration (mM) of a standard Trolox solutionexerting the same antioxidant activity of a 1 mg/mLsolution of the testedextract.
d Standard Deviation of three independent experiments.
description: Published as part of Kılınc, Hilal, Masullo, Milena, Lauro, Gianluigi, D'Urso, Gilda, Alankus, Ozgen, Bifulco, Giuseppe & Piacente, Sonia, 2023, Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies, pp. 6 in Phytochemistry (113471) 205 on page 6, DOI: 10.1016/j.phytochem.2022.113471, http://zenodo.org/record/8160618
DOI: 10.5281/zenodo.15155671
title: Table 3 in Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies

description: Table 3 Total phenolic content and radical scavenging activity of S. atropurpurea methanol extract in DPPH and TEAC assays.
Total Phenolic ContentDPPH •ABTS •+GAE a SD dEC b SD d 50TEAC c SD d7.60 ± 0.264.80 ± 0.060.28 ± 0.03a Values are expressed as gallic acid equivalents (GAE) mg/g of dried extract.b Values are expressed as μg/mL. c Values are expressed as concentration (mM) of a standard Trolox solutionexerting the same antioxidant activity of a 1 mg/mLsolution of the testedextract.
d Standard Deviation of three independent experiments.
description: Published as part of Kılınc, Hilal, Masullo, Milena, Lauro, Gianluigi, D'Urso, Gilda, Alankus, Ozgen, Bifulco, Giuseppe & Piacente, Sonia, 2023, Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies, pp. 6 in Phytochemistry (113471) 205 on page 6, DOI: 10.1016/j.phytochem.2022.113471, http://zenodo.org/record/8160618
DOI: 10.5281/zenodo.15155673
title: Table 4 in Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies

description: Table 4 Antihyperglycemic activity of the main iridoids isolated from S. atropurpurea, expressed as IC 50 (μM) value.
CompoundsIC50 ± SD (μM)358.82 ± 2.08527.50 ± 2.801530.20 ± 2.131625.01 ± 1.721935.64 ± 1.182349.95 ± 1.082432.36 ± 2.062586.96 ± 3.502638.46 ± 2.082782.01 ± 3.502892.59 ± 3.52acarbose175.00 ± 3.50
description: Published as part of Kılınc, Hilal, Masullo, Milena, Lauro, Gianluigi, D'Urso, Gilda, Alankus, Ozgen, Bifulco, Giuseppe & Piacente, Sonia, 2023, Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies, pp. 6 in Phytochemistry (113471) 205 on page 6, DOI: 10.1016/j.phytochem.2022.113471, http://zenodo.org/record/8160618
DOI: 10.5281/zenodo.15155672
title: Table 4 in Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies

description: Table 4 Antihyperglycemic activity of the main iridoids isolated from S. atropurpurea, expressed as IC 50 (μM) value.
CompoundsIC50 ± SD (μM)358.82 ± 2.08527.50 ± 2.801530.20 ± 2.131625.01 ± 1.721935.64 ± 1.182349.95 ± 1.082432.36 ± 2.062586.96 ± 3.502638.46 ± 2.082782.01 ± 3.502892.59 ± 3.52acarbose175.00 ± 3.50
description: Published as part of Kılınc, Hilal, Masullo, Milena, Lauro, Gianluigi, D'Urso, Gilda, Alankus, Ozgen, Bifulco, Giuseppe & Piacente, Sonia, 2023, Scabiosa atropurpurea: A rich source of iridoids with α-glucosidase inhibitory activity evaluated by in vitro and in silico studies, pp. 6 in Phytochemistry (113471) 205 on page 6, DOI: 10.1016/j.phytochem.2022.113471, http://zenodo.org/record/8160618
DOI: 10.15468/dl.hsh99e
title: Occurrence Download

description: A dataset containing 6983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-126.05291 45.00971,-111.59906 11.17377,-65.64415 14.96203,-67.81048 46.96752,-126.05291 45.00971))",
 "OccurrenceStatus is Present",
 "TaxonKey is Herichthys cyanoguttatus Baird & Girard, 1854"
 ]
}

 The dataset includes 6983 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034811-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpumk6
title: Occurrence Download

description: A dataset containing 312614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is one of (Magnoliopsida)",
 "StateProvince is Wisconsin"
 ]
}

 The dataset includes 312614 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034809-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxpuzf
title: Occurrence Download

description: A dataset containing 2397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Alfaropsis Iljinsk.",
 "TaxonKey is Alfaroa Standl.",
 "TaxonKey is Oreomunnea Oerst.",
 "TaxonKey is Engelhardtia Barnes & Benjamin, 1923",
 "TaxonKey is Engelhardia Lesch. ex Blume"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2397 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002949-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnbmj1
title: Occurrence Download

description: A dataset containing 20549 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cupressus"
 ]
}

 The dataset includes 20549 records from 459 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002933-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6p4ytk
title: Occurrence Download

description: A dataset containing 1724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bactericera cockerelli (Šulc, 1909)"
 ]
}

 The dataset includes 1724 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034812-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/yl9fxc
title: Caracterización de fauna y flora para generar la línea base ambiental de la Hacienda Pinos Altos, La Cumbre - Valle del Cauca

description: El presente conjunto de datos consta de 548 registros biológicos de fauna y flora provenientes de la caracterización realizada para generar la línea base ambiental de la Hacienda Pinos Altos, ubicada en el corregimiento de Bitaco, municipio de La Cumbre en el Valle del Cauca. Esta información es necesaria para el desarrollo y monitoreo de un proceso de restauración. La toma de datos se realizó en julio de 2021 en coberturas asociadas a los pastos limpios, bosque de galería, bosque andino, entre otros.
description: Los datos se encuentran distribuidos taxonómicamente en dos reinos, Animalia (484) y Plantae (64), y estos a su vez están compuestos por 7 clases, 45 órdenes, 83 familias, 153 géneros y 156 especies.
DOI: 10.5281/zenodo.12788024
title: MeAir 9000 VS Masterscreen
DOI: 10.5281/zenodo.12788025
title: MeAir 9000 VS Masterscreen
DOI: 10.5281/zenodo.10679655
title: Arsenic immobilization and greenhouse gas emission depend on quantity and frequency of nitrogen fertilization in paddy soil

description: Nitrogen (N) fertilization in paddy soils decreases arsenic mobility and methane emissions. However, it is unknown how quantity and frequency of N fertilization affects the interlinked redox reactions of iron(II)-driven denitrification, iron mineral (trans-)formation with subsequent arsenic (im-)mobilization, methane and nitrous oxide emissions, and how this links to microbiome composition. Thus, we incubated paddy soil from Vercelli, Italy, over 129 days and applied nitrate fertilizer at different concentrations (control: 0, low: ~35, medium: ~100, high: ~200 mg N kg-1 soil-1) once at the beginning and after 49 days. In the high N treatment, nitrate reduction was coupled to oxidation of dissolved and solid-phase iron(II), while naturally occurring arsenic was retained on iron minerals due to suppression of reductive iron(III) mineral dissolution. In the low N treatment, 40 µg L-1 of arsenic was mobilized into solution after nitrate depletion, with 69% being immobilized after a second nitrate application. In the non-fertilized control, concentrations of dissolved arsenic were as high as 76 µg L-1, driven by mobilization of 36% of the initial mineral-bound arsenic. Generally, N fertilization led to 1.5-fold higher total GHG emissions (sum of CO2, CH4 and N2O as CO2 equivalents), 158-fold higher N2O, and 7.5-fold lower CH4 emissions compared to non-fertilization. On day 37, Gallionellaceae, Comamonadaceae and Rhodospirillales were more abundant in the high N treatment compared to the non-fertilized control, indicating their potential role as key players in nitrate reduction coupled to iron(II) oxidation. The findings underscore the dual effect of N fertilization, immobilizing arsenic in the short-term (low/medium N) or long-term (high N), while simultaneously increasing N2O and lowering CH4 emissions. This highlights the significance of both the quantity and frequency of N fertilizer application in paddy soils.
DOI: 10.5281/zenodo.10679656
title: Arsenic immobilization and greenhouse gas emission depend on quantity and frequency of nitrogen fertilization in paddy soil

description: Nitrogen (N) fertilization in paddy soils decreases arsenic mobility and methane emissions. However, it is unknown how quantity and frequency of N fertilization affects the interlinked redox reactions of iron(II)-driven denitrification, iron mineral (trans-)formation with subsequent arsenic (im-)mobilization, methane and nitrous oxide emissions, and how this links to microbiome composition. Thus, we incubated paddy soil from Vercelli, Italy, over 129 days and applied nitrate fertilizer at different concentrations (control: 0, low: ~35, medium: ~100, high: ~200 mg N kg-1 soil-1) once at the beginning and after 49 days. In the high N treatment, nitrate reduction was coupled to oxidation of dissolved and solid-phase iron(II), while naturally occurring arsenic was retained on iron minerals due to suppression of reductive iron(III) mineral dissolution. In the low N treatment, 40 µg L-1 of arsenic was mobilized into solution after nitrate depletion, with 69% being immobilized after a second nitrate application. In the non-fertilized control, concentrations of dissolved arsenic were as high as 76 µg L-1, driven by mobilization of 36% of the initial mineral-bound arsenic. Generally, N fertilization led to 1.5-fold higher total GHG emissions (sum of CO2, CH4 and N2O as CO2 equivalents), 158-fold higher N2O, and 7.5-fold lower CH4 emissions compared to non-fertilization. On day 37, Gallionellaceae, Comamonadaceae and Rhodospirillales were more abundant in the high N treatment compared to the non-fertilized control, indicating their potential role as key players in nitrate reduction coupled to iron(II) oxidation. The findings underscore the dual effect of N fertilization, immobilizing arsenic in the short-term (low/medium N) or long-term (high N), while simultaneously increasing N2O and lowering CH4 emissions. This highlights the significance of both the quantity and frequency of N fertilizer application in paddy soils.
DOI: 10.15468/dl.tip52w
title: Occurrence Download

description: A dataset containing 817 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasylirion wheeleri S.Watson ex Rothr."
 ]
}

 The dataset includes 817 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002950-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/c15f5f4b26f5ae75a1d65e4c95a91ad5
title: Soil temperature at GCE core monitoring sites in the winter of 2019-2020

description: We deployed one hobo logger in each vegetation zone at each of the ten primary GCE monitoring sites, for a total of 20 loggers. The loggers were deployed at plot number 1 in each zone, to the “outside” (away from plot number 2), parallel in elevation with the middle of plot 1, buried 10 cm deep, lying horizontal, and tied with a string to the upper left hand (looking from the ocean towards the land) corner stake of the plot. Hobos were deployed during fall monitoring in October 2019, and set to start logging on October 15, 1 am, at 15 minute intervals, with the loggers set on Central Time (times were converted to UTC in post-processing). They were retrieved in April 2020 and files were trimmed to end on a standard date. Exact deployment and retrieval dates are on the attached adobe acrobat file.