cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2lb5vz
title: CCDC 2393071: Experimental Crystal Structure Determination

description: Related Article: Timothy Quek, Thonthun Saeteaw, Tanyawan Pongpanit, Supawadee Namuangruk, Khamphee Phomphrai|2025|Phys.Chem.Chem.Phys.(PCCP)|27|18116|doi:10.1039/d5cp02229k
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mzj27
title: CCDC 2442399: Experimental Crystal Structure Determination

description: Related Article: Zhiguo Jake Song, Xiaopeng Yin, Vimal Varghese, Jaroslaw Kalisiak, Michael T. Corbett, Bruce Kowalczyk, Zhongzhen Li, Hongfeng Li, Weikai Wang, Yinhe Bao, Jie Wang, Xiong Xiong, Yafei Hu|2025|Org.Process Res.Dev.|29|2346|doi:10.1021/acs.oprd.5c00214
description: Related Article: Zengfeng Hu|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n6y50
title: CCDC 2449532: Experimental Crystal Structure Determination

description: Related Article: Zhiguo Jake Song, Xiaopeng Yin, Vimal Varghese, Jaroslaw Kalisiak, Michael T. Corbett, Bruce Kowalczyk, Zhongzhen Li, Hongfeng Li, Weikai Wang, Yinhe Bao, Jie Wang, Xiong Xiong, Yafei Hu|2025|Org.Process Res.Dev.|29|2346|doi:10.1021/acs.oprd.5c00214
description: Related Article: Tu Sun|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n6y61
title: CCDC 2449533: Experimental Crystal Structure Determination

description: Related Article: Zhiguo Jake Song, Xiaopeng Yin, Vimal Varghese, Jaroslaw Kalisiak, Michael T. Corbett, Bruce Kowalczyk, Zhongzhen Li, Hongfeng Li, Weikai Wang, Yinhe Bao, Jie Wang, Xiong Xiong, Yafei Hu|2025|Org.Process Res.Dev.|29|2346|doi:10.1021/acs.oprd.5c00214
description: Related Article: Tu Sun|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.hy3tfh
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectona grandis",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020172-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qezn2x
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectona grandis",
 "Country is Maldives",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020173-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x56vrk
title: Occurrence Download

description: A dataset containing 2642 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caracterización de Fauna del Banco de Hábitat del Bosque Seco Tropical del Cesar \"La Lope\" de Terrasos"
 ]
}

 The dataset includes 2642 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020171-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16740666
title: Planting Date Maps (Low Resolution) and County Data for the US Corn Belt

description: Aggregated dataset on planting dates for maize and soybean crops in the US Corn Belt from 2000-2020. This dataset was generated from Landsat satellite data and covers 12 states. The methodology is described in Deines et al. 2023 in Remote Sensing of Environment (open access).

Note: Version 2 is identical to Version 1, but includes a file missing from v1 (soybeans_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv)

Preferred citation:

Deines, J.M., A. Swatantran, D. Ye, B. Myers, S. Archontoulis, & D.B. Lobell. 2023. Field-scale dynamics of planting dates in the US Corn Belt from 2000 to 2020. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2023.113551

Contents



Gridded map datasets of planting dates aggregated to 10 km resolution. Map datasets are contained in zip files by crop type. Each zip file contains 21 annual geotiff rasters covering the full study region.



Maize_plantingDates_2000-2020_10000m_DeinesEtAl_vRSE.zip

Soybeans_plantingDates_2000-2020_10000m_DeinesEtAl_vRSE.zip



Tabular county planting date statistics derived from the high-resolution (30 m) planting date maps. This data is presented in .csv format and includes the day-of-year when 10, 25, 50, 75, and 90 percent of crop area was planted for each year. There is one record for each county-year; data files are separated by crop type.



maize_countyStats_doyPercentPlanted_2000-2020_DeinesEtAl_vRSE.csv

soybeans_countyStats_doyPercentPlanted_2000-2020_DeinesEtAl_vRSE.csv



Tabular planting progress by county. These .csv's present the area planted for each crop by county for each day. They can be considered the "raw" version of item #2 (county stats) and can therefore be used to derive other planting progress percentiles other than those provided in item #2.



maize_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv

soybeans_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv




Metadata

1. Planting date maps



Value: day-of-year of planting

No Data value = -999 (grid cells outside of the study area or lacking maize/soybeans that year)

Map projection: EPSG:5070, CONUS Albers Equal Area

Maps for 2008-2018 use the USDA's Cropland Data Layers to identify maize pixels; maps for 1999-2007 use the Corn-Soy Data Layer produced by Wang et al. 2000 (data + manuscript are open access).


2. Tabular datasets



GEOID = 5 digit county FIPS, or the unique identifier assigned to each county by the US TIGER county dataset

county_code = 3 digit county identifier. Represents places 3-5 in the 5 digit code.

state_code = 2 digit state identifier. Represents places 1-2 in the 5 digit code.

DOY = day-of-year

area_daily_m2 = area of that crop planted that day in that county, in square meters

doy_X = day-of-year when X% of area was planted that year
DOI: 10.5281/zenodo.7790256
title: Planting Date Maps (Low Resolution) and County Data for the US Corn Belt

description: Aggregated dataset on planting dates for maize and soybean crops in the US Corn Belt from 2000-2020. This dataset was generated from Landsat satellite data and covers 12 states. The methodology is described in Deines et al. 2023 in Remote Sensing of Environment (open access).

Note: Version 2 is identical to Version 1, but includes a file missing from v1 (soybeans_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv)

Preferred citation:

Deines, J.M., A. Swatantran, D. Ye, B. Myers, S. Archontoulis, & D.B. Lobell. 2023. Field-scale dynamics of planting dates in the US Corn Belt from 2000 to 2020. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2023.113551

Contents



Gridded map datasets of planting dates aggregated to 10 km resolution. Map datasets are contained in zip files by crop type. Each zip file contains 21 annual geotiff rasters covering the full study region.



Maize_plantingDates_2000-2020_10000m_DeinesEtAl_vRSE.zip

Soybeans_plantingDates_2000-2020_10000m_DeinesEtAl_vRSE.zip



Tabular county planting date statistics derived from the high-resolution (30 m) planting date maps. This data is presented in .csv format and includes the day-of-year when 10, 25, 50, 75, and 90 percent of crop area was planted for each year. There is one record for each county-year; data files are separated by crop type.



maize_countyStats_doyPercentPlanted_2000-2020_DeinesEtAl_vRSE.csv

soybeans_countyStats_doyPercentPlanted_2000-2020_DeinesEtAl_vRSE.csv



Tabular planting progress by county. These .csv's present the area planted for each crop by county for each day. They can be considered the "raw" version of item #2 (county stats) and can therefore be used to derive other planting progress percentiles other than those provided in item #2.



maize_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv

soybeans_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv




Metadata

1. Planting date maps



Value: day-of-year of planting

No Data value = -999 (grid cells outside of the study area or lacking maize/soybeans that year)

Map projection: EPSG:5070, CONUS Albers Equal Area

Maps for 2008-2018 use the USDA's Cropland Data Layers to identify maize pixels; maps for 1999-2007 use the Corn-Soy Data Layer produced by Wang et al. 2000 (data + manuscript are open access).


2. Tabular datasets



GEOID = 5 digit county FIPS, or the unique identifier assigned to each county by the US TIGER county dataset

county_code = 3 digit county identifier. Represents places 3-5 in the 5 digit code.

state_code = 2 digit state identifier. Represents places 1-2 in the 5 digit code.

DOY = day-of-year

area_daily_m2 = area of that crop planted that day in that county, in square meters

doy_X = day-of-year when X% of area was planted that year
DOI: 10.15468/dl.9c4kh5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pitar tumens",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020175-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mr964w
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectona grandis",
 "Country is Panama",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020174-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7qc56
title: Occurrence Download

description: A dataset containing 3793 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna presente en el proyecto Minera de Cobre Quebradona, municipio de Jericó"
 ]
}

 The dataset includes 3793 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020176-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7p5k3
title: Occurrence Download

description: A dataset containing 187234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, Depuración de la colección y base de datos del Herbario CICY. Fase IV, Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Observation.org, Nature data from around the World)",
 "Geometry POLYGON((-88.30392 21.46934,-87.9575 21.46934,-87.9575 21.66025,-88.30392 21.66025,-88.30392 21.46934))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 187234 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020114-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9krf8
title: Occurrence Download

description: A dataset listing the 4069952 species recorded in GBIF matching the query:
{ }

 The dataset's 4069952 records were derived from 76528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020136-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n24a6n
title: Occurrence Download

description: A dataset containing 551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oxypogon guerinii",
 "Year 2024-2025"
 ]
}

 The dataset includes 551 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020179-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9veuw5
title: Occurrence Download

description: A dataset containing 5860 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de fauna asociados al proyecto: Conservación de félidos silvestres del Putumayo"
 ]
}

 The dataset includes 5860 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020178-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ehr64
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pitar virgo",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020180-250914085247600/datasets/export for details.
DOI: 10.15468/dl.rxqtg7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectona grandis",
 "Country is Sao Tome and Principe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020181-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwtqdd
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectona grandis",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 174 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020183-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twj4ja
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectona grandis",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020182-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17162707
title: Enigma of Soma: A Multidisciplinary Study of Ritual Pharmacology, Consciousness, and Civilizational Heritage

description: Enigma of Soma: A Multidisciplinary Study of Ritual Pharmacology, Consciousness, and Civilizational Heritage

 

Description :

Soma, revered in over 120 Rigvedic hymns and echoed as Haoma in the Avestan tradition, remains one of the most profound enigmas of ancient intellectual history. This multidisciplinary dissertation explores Soma not as a single botanical entity but as a complex pharmacotechnical artifact at the intersection of ritual, pharmacology, metaphysics, and social order. Employing philology, archaeology, ethnobotany, pharmacognosy, computational modeling, sociology, and heritage studies, this research reconstructs Soma as a synergistic ritual brew comprising Ephedra, Cannabis, and Peganum harmala, integrated with chanting and sacrifice for consciousness regulation.

 

The study reveals Soma’s dual nature as both psychoactive nectar and metaphysical principle of immortality (Ānanda-rasa), woven into Vedic cosmology and social ethics. Archaeological and chemical residue analyses from Indus Valley and Bactria–Margiana support the polyherbal hypothesis. Computational docking elucidates molecular synergy across adrenergic, serotonergic, and endocannabinoid pathways. A global comparative framework situates Soma among sacred elixirs like Greek Kykeon and Amazonian Ayahuasca, emphasizing its civilizational significance.

 

Policy-oriented chapters address contemporary heritage protection under the Nagoya Protocol, India's Traditional Knowledge Digital Library, and UNESCO Intangible Cultural Heritage frameworks, advocating against biopiracy and promoting ethical custodianship. Philosophically, this work situates Soma as an early neurotechnology and social contract mechanism, harmonizing consciousness, ritual, and governance.

 

This thesis advances understanding of Soma as an enduring ritual technology of transcendence and collective identity, embodying India’s unique legacy and humanity's universal quest for immortality and cosmic order.

 

Keywords

Soma | Rigveda | Haoma | Ethnobotany | Pharmacognosy | Ephedra | Peganum harmala | Cannabis | Psychoactive Rituals | Neuropharmacology | Cybernetics | Intangible Cultural Heritage | Nagoya Protocol | Traditional Knowledge Digital Library | Biopiracy | Ritual Science | Consciousness Studies | Vedic Cosmology | Indigenous Knowledge | Pharmacotechnical Systems
DOI: 10.5281/zenodo.17162708
title: Enigma of Soma: A Multidisciplinary Study of Ritual Pharmacology, Consciousness, and Civilizational Heritage

description: Enigma of Soma: A Multidisciplinary Study of Ritual Pharmacology, Consciousness, and Civilizational Heritage

 

Description :

Soma, revered in over 120 Rigvedic hymns and echoed as Haoma in the Avestan tradition, remains one of the most profound enigmas of ancient intellectual history. This multidisciplinary dissertation explores Soma not as a single botanical entity but as a complex pharmacotechnical artifact at the intersection of ritual, pharmacology, metaphysics, and social order. Employing philology, archaeology, ethnobotany, pharmacognosy, computational modeling, sociology, and heritage studies, this research reconstructs Soma as a synergistic ritual brew comprising Ephedra, Cannabis, and Peganum harmala, integrated with chanting and sacrifice for consciousness regulation.

 

The study reveals Soma’s dual nature as both psychoactive nectar and metaphysical principle of immortality (Ānanda-rasa), woven into Vedic cosmology and social ethics. Archaeological and chemical residue analyses from Indus Valley and Bactria–Margiana support the polyherbal hypothesis. Computational docking elucidates molecular synergy across adrenergic, serotonergic, and endocannabinoid pathways. A global comparative framework situates Soma among sacred elixirs like Greek Kykeon and Amazonian Ayahuasca, emphasizing its civilizational significance.

 

Policy-oriented chapters address contemporary heritage protection under the Nagoya Protocol, India's Traditional Knowledge Digital Library, and UNESCO Intangible Cultural Heritage frameworks, advocating against biopiracy and promoting ethical custodianship. Philosophically, this work situates Soma as an early neurotechnology and social contract mechanism, harmonizing consciousness, ritual, and governance.

 

This thesis advances understanding of Soma as an enduring ritual technology of transcendence and collective identity, embodying India’s unique legacy and humanity's universal quest for immortality and cosmic order.

 

Keywords

Soma | Rigveda | Haoma | Ethnobotany | Pharmacognosy | Ephedra | Peganum harmala | Cannabis | Psychoactive Rituals | Neuropharmacology | Cybernetics | Intangible Cultural Heritage | Nagoya Protocol | Traditional Knowledge Digital Library | Biopiracy | Ritual Science | Consciousness Studies | Vedic Cosmology | Indigenous Knowledge | Pharmacotechnical Systems
DOI: 10.15468/dl.9ga5h4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Placamen chloroticum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020185-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13vyu9e
title: Photos and Shapefiles of Erosion/Deposition from the 20 July 2021 Black Hollow Debris Flow

description: This dataset includes photos taken in the field (Final_photos_for_data_release.zip) and a shapefile (Blackhollow_de.shp stored in Blackhollow_de.zip) to document debris flow activity in the Black Hollow watershed. The Black Hollow watershed was burned by the Cameron Peak Fire (13 August to 2 December 2020) and experienced a debris flow on 20 July 2021. The polygon shapefile in this dataset represents deposition and erosion from the debris flow. The deposition and erosion in the polygon were mapped by subtracting two lidar datasets (2021 and 2020) that were obtained from the USGS National Map (U.S. Geological Survey, 2024). U.S. Geological Survey, 2024, https://apps.nationalmap.gov/downloader/ (accessed July 2023)
DOI: 10.17909/t50v-v376
title: JWST Observations of 457P - Cycle 3

description: JWST NIRCam and NIRSpec observations of main-belt comet 457P/Lemmon-PANSTARRS when active in 2024
DOI: 10.7914/63mk-n625
title: Canberra Deep Space Centre DAS

description: Three LE-3Dlites (250 Hz) and one Trillium Compact 120 (100 Hz) deployed at the Canberra Deep Space Center for six weeks at various points along a fibre line concurrent with a Distributed Acoustic Sensing (DAS) experiment.
DOI: 10.15468/dl.c8mm8t
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectona grandis",
 "Country is Uganda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020187-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.