cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc12stm9
title: CCDC 1006961: Experimental Crystal Structure Determination

description: Related Article: Debraj Saha, Tanmoy Maity, Paula Brandão, Subrathnath Koner|2026|Chem. Sel.|11|e06167|doi:10.1002/slct.202506167
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.cc2lp49r
title: CCDC 2403594: Experimental Crystal Structure Determination

description: Related Article: Mirai Nakata, Tsunehisa Hirashita|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01140
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.cc2lp45m
title: CCDC 2403590: Experimental Crystal Structure Determination

description: Related Article: Mirai Nakata, Tsunehisa Hirashita|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01140
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.cc2pf8s6
title: CCDC 2485418: Experimental Crystal Structure Determination

description: Related Article: Chaohua Xu, Longchao Du|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05540
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.cc2qgqnl
title: CCDC 2516600: Experimental Crystal Structure Determination

description: Related Article: Chunyu Niu, Weijian Xue, Huiqian Li, Yuhang Liu, Xiangyu Ling, Bing Zhao, Yanbing Yin|2026|Org.Lett.|||doi:10.1021/acs.orglett.5c05367
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.cc2qh63k
title: CCDC 2517048: Experimental Crystal Structure Determination

description: Related Article: J. Yuan, L. Lin, X. Wang, L. Qin, X. Li, G. Lan, L. Chen, J. Wang|2025|Acta Crystallogr.,Sect.E:Cryst.Commun.|82|198|doi:10.1107/S2056989025011399
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.pzrkkp
title: Occurrence Download

description: A dataset containing 182236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "Year is 2024",
 "Month is October"
 ]
}

 The dataset includes 182236 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002676-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26123944
title: Mitogenome sequences of Entomobryinae

description: Mitogenomes assembled from raw sequencing data available at the SRA database (NCBI).
DOI: 10.6084/m9.figshare.26123944.v1
title: Mitogenome sequences of Entomobryinae

description: Mitogenomes assembled from raw sequencing data available at the SRA database (NCBI).
DOI: 10.15468/dl.a99hub
title: Occurrence Download

description: A dataset containing 7750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Geometry POLYGON((-111.50769 30.85717,-110.29835 30.85717,-110.33212 32.6186,-111.54022 32.61038,-111.50769 30.85717))",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 1970-2020"
 ]
}

 The dataset includes 7750 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002687-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eeb7sm
title: Occurrence Download

description: A dataset containing 6633911 records in GBIF matching the query:
SELECT "gbifid", "taxonkey", "phylum", "class", "order", "eventdate" FROM occurrence WHERE ("hasgeospatialissues" = 'false') AND ("hascoordinate" = 'true') AND ("occurrencestatus" = 'PRESENT') AND ("decimallatitude" &gt;= 41) AND ("decimallatitude" &lt; 42) AND ("decimallongitude" &gt;= -71) AND "decimallongitude" &lt; -70 AND ("year" &lt;= 2025)

 The dataset's 6633911 records were derived from 606 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002683-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6t52ed
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((94.54873 -9.63847,154.52137 -9.63847,154.52137 15.69692,94.54873 15.69692,94.54873 -9.63847))",
 "TaxonKey is Ripiphoridae"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002688-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18436820
title: Calculating the Required Rate of Return Using the Fama-French Three-Factor Model
DOI: 10.5281/zenodo.18436819
title: Calculating the Required Rate of Return Using the Fama-French Three-Factor Model
DOI: 10.7910/dvn/izw65m
title: Replication Data for: Interstate Conciliation in the Shadow of Deep Historical Grievances

description: These are the data and analysis files to support the results reported in the manuscript and appendix of "Interstate Conciliation in the Shadow of Deep Historical Grievances."
DOI: 10.15468/dl.mtzxv8
title: Occurrence Download

description: A dataset containing 43059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnopus dryophilus"
 ]
}

 The dataset includes 43059 records from 474 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002690-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31215691
title: Prospecting Architectural Features Using UAV-LiDAR, Deep Neural Networks, and Visualization Techniques: A Case Study of Kuélap and Cambolín (NW Peru)

description: High-resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates Digital Terrain Models (DTMs) obtained through Airborne Laser Scanning (ALS) from a drone, along with advanced visualization techniques (VT) based on computer vision algorithms, evaluated using objective performance metrics. The research was conducted at the archaeological sites of Kuélap and Cambolín, belonging to the Chachapoyas culture in the Amazonas region, north-western Peru. Seventeen visualization techniques were applied to a DTM derived from ALS with a resolution of 0.5 m. Additionally, the Mask Region-Convolutional Neural Network (Mask R-CNN) model in ArcGIS Pro was used for the automatic detection and segmentation of architectural features. The results indicate that the Color Relief Image Map (CRIM) visualization technique achieved the highest average precision score, reaching 71.89% in Kuélap and 43.54% in Cambolín. The model detected a total of 137 out of 185 reference structures in Kuélap and 53 out of 73 in Cambolín. The combination of visualization techniques and deep learning supports archaeological prospection in areas with dense vegetation and complex topography, serving as a complementary tool to manual interpretation in the study of Chachapoya settlements
DOI: 10.6084/m9.figshare.31215691.v1
title: Prospecting of Archaeological Structures Using LiDAR-UAV Technology, Deep Neural Networks and Visualization lidar Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

description: High-resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates Digital Terrain Models (DTMs) obtained through Airborne Laser Scanning (ALS) from a drone, along with advanced visualization techniques (VT) based on computer vision algorithms, evaluated using objective performance metrics. The research was conducted at the archaeological sites of Kuélap and Cambolín, belonging to the Chachapoyas culture in the Amazonas region, north-western Peru. Seventeen visualization techniques were applied to a DTM derived from ALS with a resolution of 0.5 m. Additionally, the Mask Region-Convolutional Neural Network (Mask R-CNN) model in ArcGIS Pro was used for the automatic detection and segmentation of architectural features. The results indicate that the Color Relief Image Map (CRIM) visualization technique achieved the highest average precision score, reaching 71.89% in Kuélap and 43.54% in Cambolín. The model detected a total of 137 out of 185 reference structures in Kuélap and 53 out of 73 in Cambolín. The combination of visualization techniques and deep learning supports archaeological prospection in areas with dense vegetation and complex topography, serving as a complementary tool to manual interpretation in the study of Chachapoya settlements
DOI: 10.6084/m9.figshare.31215691.v2
title: Prospecting Architectural Features Using UAV-LiDAR, Deep Neural Networks, and Visualization Techniques: A Case Study of Kuélap and Cambolín (NW Peru)

description: High-resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates Digital Terrain Models (DTMs) obtained through Airborne Laser Scanning (ALS) from a drone, along with advanced visualization techniques (VT) based on computer vision algorithms, evaluated using objective performance metrics. The research was conducted at the archaeological sites of Kuélap and Cambolín, belonging to the Chachapoyas culture in the Amazonas region, north-western Peru. Seventeen visualization techniques were applied to a DTM derived from ALS with a resolution of 0.5 m. Additionally, the Mask Region-Convolutional Neural Network (Mask R-CNN) model in ArcGIS Pro was used for the automatic detection and segmentation of architectural features. The results indicate that the Color Relief Image Map (CRIM) visualization technique achieved the highest average precision score, reaching 71.89% in Kuélap and 43.54% in Cambolín. The model detected a total of 137 out of 185 reference structures in Kuélap and 53 out of 73 in Cambolín. The combination of visualization techniques and deep learning supports archaeological prospection in areas with dense vegetation and complex topography, serving as a complementary tool to manual interpretation in the study of Chachapoya settlements
DOI: 10.25345/c5x63bk1b
title: MassIVE MSV000100678 - Characterization of proteins assembled in vitro on yeast centromeric DNA in WT vs cbf1Delta extracts
title: This experiment aims to characterize the proteins assembled in vitro on yeast centromeric DNA in WT (SBY3) vs cbf1Delta (SBY4958) extracts. Briefly, yeast centromeric DNA (CEN3-WT and CEN3-CDEIm) is PCR amplified, biotinylated, and immobilized to streptavidin-coated beads (M280, Invitrogen). Yeast lysate is prepared by harvesting benomyl-treated (30 mg/mL, 3 hours) yeast cultures, resuspending in Buffer L 0.175 (25 mM HEPES pH 7.6, 2 mM MgCl2, 0.1 mM EDTA pH 7.6, 0.5 mM EGTA pH 7.6, 0.1 % NP-40, 175 mM K-Glutamate, and 15% Glycerol) supplemented with protease inhibitors, and lysed using a Freezer Mill (SPEX, Metuchen NJ). Lysate was clarified via centrifugation at 13,000 x g for 30 minutes, and the protein layer was collected. The DNA on beads (60 ul) is incubated with 1500 ul yeast whole cell extracts for 90 minutes at room temperature. Then beads are washed 5 times with buffer Buffer L 0.175, and twice with 50 mM HEPES pH 8, and eluted with 60 ul 0.2% RapiGest (Waters Corporation, Milford MA) in 50mM HEPES pH 8 for 30 minutes at room temperature. SH061818_070118_SBY3_WT: lysate from WT cells (SBY3) assembled on CEN3-WT DNA template SH061818_070118_SBY3_CDEI: lysate from WT cells (SBY3) assembled on CEN3-CDEIm DNA template. This DNA template has mutations on the CDEI element which disrupt Cbf1 binding. SH061818_070118_SBY4958_WT: lysate from cbf1Delta cells (SBY4958) assembled on CEN3-WT DNA template
DOI: 10.6069/583t-hx35
title: Low- and Middle-Income Country Delivery Location by Facility Type Estimates 1995-2023

description: This dataset provides estimates of delivery location by facility type (public hospital, public lower-level, private hospital and private lower-level) among all live births for low and middle-income countries as classified by the World Bank Income Classifications, 2025. The estimates are provided for each year from 1995-2023.
DOI: 10.5281/zenodo.18436882
title: Structural data of brittle structural elements of the Waterman Hills detachment (Mojave extensional belt, California)

description: Field measurements of brittle structural elements (e.g., faults, veins, fractures) from the Waterman Hills detachment (Mojave extensional belt, California)
DOI: 10.5281/zenodo.18436883
title: Structural data of brittle structural elements of the Waterman Hills detachment (Mojave extensional belt, California)

description: Field measurements of brittle structural elements (e.g., faults, veins, fractures) from the Waterman Hills detachment (Mojave extensional belt, California)
DOI: 10.15468/dl.t4d3em
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothrops pubescens"
 ]
}

 The dataset includes 952 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002691-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnhs5n
title: Occurrence Download

description: A dataset containing 7787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Geometry POLYGON((-111.50769 30.85717,-110.29835 30.85717,-110.34074 32.76141,-111.54729 32.75078,-111.50769 30.85717))",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 1970-2020"
 ]
}

 The dataset includes 7787 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002692-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6069/1pm4-nk07
title: United States Overweight and Obesity Prevalence Estimates and Forecasts 1990-2050

description: The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories. This dataset provides annual estimates for the prevalence of overweight and obesity across various age groups from 1990 to 2021, with projections from 2022 to 2050. The estimates are based on data sources from the GBD 2021 analyses.
DOI: 10.15468/dl.quxfrp
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "NetworkKey is 1f2c0cbe-40df-43f6-ba07-e76133e78c31",
 "TaxonKey is Tamandua mexicana"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002693-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhntka
title: Occurrence Download

description: A dataset containing 377547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos, Arthurdendyus triangulatus, Cabomba caroliniana, Callosciurus finlaysonii, Cherax destructor, Corvus splendens, Crassula helmsii, Elodea densa, Eriocheir sinensis, Erythranthe guttata, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Faxonius virilis, Gambusia affinis, Heracleum mantegazzianum, Heracleum persicum, Heracleum pubescens, Houttuynia cordata, , Impatiens glandulifera, Koenigia polystachya, Lagarosiphon major, Lepomis gibbosus, Limnoperna fortunei, Ludwigia grandiflora, Ludwigia peploides, Lysichiton americanus, Morone americana, Muntiacus reevesi, Myriophyllum aquaticum, Myriophyllum heterophyllum, Pacifastacus leniusculus, Petasites japonicus, Pontederia cordata, Procambarus acutus, Procambarus clarkii, Procambarus virginalis, Pseudorasbora parva, Pycnonotus cafer, Saururus cernuus, Sciurus carolinensis, Sciurus niger, Solenopsis invicta, Solenopsis richteri, Threskiornis aethiopicus, Vespa velutina, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 377547 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002678-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2pp5j3
title: CCDC 2493005: Experimental Crystal Structure Determination

description: Related Article: Shota Ogura, Hiroki Uratani, Shinnosuke Horiuchi
|2025|ChemPhotoChem|10|e202500343|doi:10.1002/cptc.202500343
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.sga7nm
title: Occurrence Download

description: A dataset containing 206575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "Year is 2024",
 "Month is November"
 ]
}

 The dataset includes 206575 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002685-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpkqb5
title: Occurrence Download

description: A dataset containing 2881304480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "Year 2006-2026"
 ]
}

 The dataset includes 2881304480 records from 63576 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002333-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ng9pb44nnd.3
title: How Does Marijuana Legislation Affect Crime? Medical and Recreational Laws Across 50 States

description: Novel policies often have unintended consequences—programs that legalize one crime
may affect other crimes. Marijuana legalization is an example of such spillovers, as
states have legalized use in a staggered fashion. While previous research focuses on a
few states or one type of legalization, we consider all 50 states and both medical and
recreational marijuana. Using a difference in differences approach we find distinct im-
pacts from medical and recreational legalization, largely borne out by dynamic analysis.
In our main synthetic difference in differences model, we find that medical legalization
reduces property crime, while recreational legalization reduces violent crime. Our re-
sults are consistent with a channel where legalization makes other crimes costly. Thus,
policymakers should wait to understand cost-benefit impacts, focus on the specific case,
and learn from outcomes in similar states.

We had to compile our data set from a variety of sources. These data were sometimes reported
at different frequencies, and made available at different periods. We therefore ultimately
use data for a sample period where we could collect all of the variables and controls. The
main data on crime rates come from FBI Uniformed Crime Reports (UCR) arrest data from
1995 to 2019, while the data on recreational and medical use laws come from various state
level sources. Our analysis involves both violent crime and property crime. Violent crime is
a summary of the following four individual crimes: aggravated assault, murder, rape, and
robbery. Similarly, property crime combines the following crimes: larceny, burglary, and
motor theft. In addition to these data, we utilize a host of state-level controls including:
a dummy variable for political party of the governor; a dummy variable for political party
in control of the state senate; poverty rate; unemployment rate; population density; aver-
age number of neighboring states that have legalized recreational and medical marijuana;
cigarette tax rate; liquor-related arrests; number of police per capita; and real income per
capita. We select the data for the controls based on discussions in previous research such
as Pacula and Kilmer (2003) and Dragone et al. (2019). These data are from the BLS, BEA
Census Bureau, and other sources. We also include
state and year fixed effects and use robust clustered standard errors. More information below in the readme file.