cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc6ztml
title: CCDC 208370: Experimental Crystal Structure Determination

description: Related Article: J.M.Harrowfield, Yang Kim, G.A.Koutsantonis, Young Hoon Lee, P.Thuery|2004|Inorg.Chem.|43|1689|doi:10.1021/ic034912o
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/cc6ztnm
title: CCDC 208371: Experimental Crystal Structure Determination

description: Related Article: J.M.Harrowfield, Yang Kim, G.A.Koutsantonis, Young Hoon Lee, P.Thuery|2004|Inorg.Chem.|43|1689|doi:10.1021/ic034912o
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/cc6ztpn
title: CCDC 208372: Experimental Crystal Structure Determination

description: Related Article: J.M.Harrowfield, Yang Kim, G.A.Koutsantonis, Young Hoon Lee, P.Thuery|2004|Inorg.Chem.|43|1689|doi:10.1021/ic034912o
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/cc6ztqp
title: CCDC 208373: Experimental Crystal Structure Determination

description: Related Article: J.M.Harrowfield, Yang Kim, G.A.Koutsantonis, Young Hoon Lee, P.Thuery|2004|Inorg.Chem.|43|1689|doi:10.1021/ic034912o
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/cc7k2pj
title: CCDC 224957: Experimental Crystal Structure Determination

description: Related Article: F.Speiser, P.Braunstein, L.Saussine, R.Welter|2004|Inorg.Chem.|43|1649|doi:10.1021/ic035132i
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/cc7k2qk
title: CCDC 224958: Experimental Crystal Structure Determination

description: Related Article: F.Speiser, P.Braunstein, L.Saussine, R.Welter|2004|Inorg.Chem.|43|1649|doi:10.1021/ic035132i
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/cc7k2rl
title: CCDC 224959: Experimental Crystal Structure Determination

description: Related Article: F.Speiser, P.Braunstein, L.Saussine, R.Welter|2004|Inorg.Chem.|43|1649|doi:10.1021/ic035132i
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/cc7gxq9
title: CCDC 222881: Experimental Crystal Structure Determination

description: Related Article: Xiang-Jun Zheng, Lin-Pei Jin, Song Gao|2004|Inorg.Chem.|43|1600|doi:10.1021/ic0352699
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/cc7k2sm
title: CCDC 224960: Experimental Crystal Structure Determination

description: Related Article: F.Speiser, P.Braunstein, L.Saussine, R.Welter|2004|Inorg.Chem.|43|1649|doi:10.1021/ic035132i
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/cc7gxrb
title: CCDC 222882: Experimental Crystal Structure Determination

description: Related Article: Xiang-Jun Zheng, Lin-Pei Jin, Song Gao|2004|Inorg.Chem.|43|1600|doi:10.1021/ic0352699
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/cc6wlqc
title: CCDC 205273: Experimental Crystal Structure Determination

description: Related Article: M.Addamo, G.Bombieri, E.Foresti, M.D.Grillone, M.Volpe|2004|Inorg.Chem.|43|1603|doi:10.1021/ic034700r
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/cc7vlpb
title: CCDC 234102: Experimental Crystal Structure Determination

description: Related Article: Hye Jin Choi, J.J.Sokol, J.R.Long|2004|Inorg.Chem.|43|1606|doi:10.1021/ic035327q
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.7z4jjh
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gastropoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-130 20,-120 20,-120 30,-130 30,-130 20))"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018767-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17328992
title: Synthetic Dataset 1D of Reflectivity Profiles with Corresponding Velocity and Density Models

description: This dataset contains a collection of synthetic reflectivity profiles and their corresponding subsurface velocity and density models. A total of 100,000 one-dimensional lithological models, each composed of 5 layers, were generated with variable layer thicknesses, random velocity gradients, and sharp contrasts to simulate realistic geological conditions. Each model was discretized into 50 uniform blocks of 100 m each, representing a total modeled depth of 5,000 m. For each block, both velocity and density values were assigned based on predefined ranges. The reflectivity profiles have a time sampling interval (Δt) of 0.002 s.
DOI: 10.5281/zenodo.17328993
title: Synthetic Dataset 1D of Reflectivity Profiles with Corresponding Velocity and Density Models

description: This dataset contains a collection of synthetic reflectivity profiles and their corresponding subsurface velocity and density models. A total of 100,000 one-dimensional lithological models, each composed of 5 layers, were generated with variable layer thicknesses, random velocity gradients, and sharp contrasts to simulate realistic geological conditions. Each model was discretized into 50 uniform blocks of 100 m each, representing a total modeled depth of 5,000 m. For each block, both velocity and density values were assigned based on predefined ranges. The reflectivity profiles have a time sampling interval (Δt) of 0.002 s.
DOI: 10.5517/cc7vlqc
title: CCDC 234103: Experimental Crystal Structure Determination

description: Related Article: Hye Jin Choi, J.J.Sokol, J.R.Long|2004|Inorg.Chem.|43|1606|doi:10.1021/ic035327q
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/cc7vlrd
title: CCDC 234104: Experimental Crystal Structure Determination

description: Related Article: H.Furuta, T.Morimoto, A.Osuka|2004|Inorg.Chem.|43|1618|doi:10.1021/ic035294e
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: 10.17632/87k82k42g9.1
title: Sleep Disorder Analysis of Bangladeshi Female Cricketers using Sleep_ASBQ

description: This dataset brings together a rich set of information on Bangladeshi female cricketers to explore how their training routines, physical stats, and emotional states tie into sleep health. All the data were collected at 2024-25 session. For each athlete, you’ll find basic demographics (age, years of playing), training details (daily practice hours and level from local to international), and body measurements (height, weight, BMI).
To capture mood at the moment, participants rated 32 feelings (from “Active” to “Muddled”) on a 0–4 scale; we also distilled these into familiar mood dimensions like Anger, Fatigue, Vigor, and Calmness. On the sleep side, 17 targeted questions (e.g. trouble falling asleep, waking at night, daytime drowsiness) are scored 1–5, then summed into an overall sleep‐disorder index.
By linking how long and intensely these athletes train with how well and how restfully—they sleep, plus how they feel emotionally, this dataset opens doors to questions like:
Do high‐intensity training days predict restless nights or spikes in fatigue?
Are more experienced players better at maintaining steady sleep schedules?
Which mood patterns (e.g. low calmness, high tension) flag athletes at risk for chronic sleep problems?
Ready for statistical analysis or simple visualization, these clean, structured records can guide coaches, sports psychologists, and health professionals in spotting trouble early—and tailoring sleep‐support strategies that help elite athletes perform at their best.
DOI: 10.6073/pasta/35577b85a682061d55601a8be1295715
title: Water Quality Data (Rainfall-driven autosampler) from the Shark River Slough, Everglades National Park (FCE LTER), Florida, USA, June 2003 - ongoing

description: Water quality samples are being collected using ISCO autosamplers at all freshwater sites: SRS1a (not active), SRS1c (not active), SRS1d, SRS2, and SRS3. Rain level actuators are used at the sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when a rain event at a site exceeds the threshold of 2.5 cm per hour, the autosampler at that site collects a 1000mL sample 30 minutes later. The samples are retrieved from the site every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. Salinity values were not taken consistently from 2000 to mid-2017; those values were replaced by -9999 in the data. See also Shark River Slough precipitation data package (knb-lter-fce.1092) and Shark River Slough extensive water quality data (knb-lter-fce.1072) on the FCE LTER website's data catalog or in the EDI repository.
DOI: 10.17632/7jnk7rv3cs.1
title: Sapodilla Leaf Disease Detection and Classification Dataset

description: This dataset has been created to support the detection and classification of diseases affecting sapodilla leaves using image-based machine learning methods. Images were captured under real-world outdoor conditions with a smartphone, representing a variety of healthy and diseased leaves. The dataset provides a strong foundation for building AI models aimed at plant disease diagnosis, agricultural automation, and precision farming for sapodilla crops.

Original Dataset:
 -Number of images: 1,778
-Data format: .jpg

Processed Dataset:
-Number of images: 1,778
-Data format: .jpg

Augmented Dataset:
-Number of images: 14,000
-Data format: .jpg

Augmentation Techniques:
1. Rotation, 2. Horizontal Flipping, 3. Vertical Flipping, 4. Brightness Enhancement, 5. Contrast Variation, 6. Image Blurring, 7. Shearing, 8. Zooming, 9. Noise Injection

Applications:
-Enables AI-based early detection of sapodilla leaf and fruit diseases to support better farm management.
-Useful for creating automated classification systems for tropical fruit crops.
-Supports research in precision farming by enabling image-based plant health assessment models.
-Provides a robust base for improving disease detection accuracy in real-world agricultural settings.
DOI: 10.17632/7jnk7rv3cs
title: Sapodilla Leaf Disease Detection and Classification Dataset

description: This dataset has been created to support the detection and classification of diseases affecting sapodilla leaves using image-based machine learning methods. Images were captured under real-world outdoor conditions with a smartphone, representing a variety of healthy and diseased leaves. The dataset provides a strong foundation for building AI models aimed at plant disease diagnosis, agricultural automation, and precision farming for sapodilla crops.

Original Dataset:
 -Number of images: 1,778
-Data format: .jpg

Processed Dataset:
-Number of images: 1,778
-Data format: .jpg

Augmented Dataset:
-Number of images: 14,000
-Data format: .jpg

Augmentation Techniques:
1. Rotation, 2. Horizontal Flipping, 3. Vertical Flipping, 4. Brightness Enhancement, 5. Contrast Variation, 6. Image Blurring, 7. Shearing, 8. Zooming, 9. Noise Injection

Applications:
-Enables AI-based early detection of sapodilla leaf and fruit diseases to support better farm management.
-Useful for creating automated classification systems for tropical fruit crops.
-Supports research in precision farming by enabling image-based plant health assessment models.
-Provides a robust base for improving disease detection accuracy in real-world agricultural settings.
DOI: 10.17632/7jnk7rv3cs.2
title: Sapodilla Leaf Disease Detection and Classification Dataset

description: This dataset has been created to support the detection and classification of diseases affecting sapodilla leaves using image-based machine learning methods. Images were captured under real-world outdoor conditions with a smartphone, representing a variety of healthy and diseased leaves. The dataset provides a strong foundation for building AI models aimed at plant disease diagnosis, agricultural automation, and precision farming for sapodilla crops.

Original Dataset:
 -Number of images: 1,778
-Data format: .jpg

Processed Dataset:
-Number of images: 1,778
-Data format: .jpg

Augmented Dataset:
-Number of images: 14,000
-Data format: .jpg

Augmentation Techniques:
1. Rotation, 2. Horizontal Flipping, 3. Vertical Flipping, 4. Brightness Enhancement, 5. Contrast Variation, 6. Image Blurring, 7. Shearing, 8. Zooming, 9. Noise Injection

Applications:
-Enables AI-based early detection of sapodilla leaf and fruit diseases to support better farm management.
-Useful for creating automated classification systems for tropical fruit crops.
-Supports research in precision farming by enabling image-based plant health assessment models.
-Provides a robust base for improving disease detection accuracy in real-world agricultural settings.
DOI: 10.17632/nmzz3w7pwd.1
title: Data Analytics

description: The structure and scale of the data align with published findings from regional studies to support the development and testing of predictive models.
DOI: 10.15468/dl.yy5gxd
title: Occurrence Download

description: A dataset containing 99659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prenanthes purpurea L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 99659 records from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078888-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhpmnw
title: Occurrence Download

description: A dataset containing 5972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centratherum punctatum Cass.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5972 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078893-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9763q
title: Occurrence Download

description: A dataset containing 696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ethulia conyzoides L.fil.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 696 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078894-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egr7eg
title: Occurrence Download

description: A dataset containing 661898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Angelica sylvestris L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 661898 records from 1787 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078884-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/p36-nfb-4cw
title: Specimen from Senckenberg Research Institute and Natural History Museum Frankfurt/M

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.15468/dl.uvkqxa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Caiman yacare)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078024-250717081556266/datasets/export for details.
DOI: 10.25954/dk1q-zw86
title: Asymmetric Capillary Particle Datasets
DOI: 10.7910/dvn/8g1dfq
title: Replication Data: IRRI Long Term Continuous Cropping Experiment 1979
title: IRRI LTCCE 1979

description: This study contains grain yield data collected from IRRI's long term continuous cropping experiment, 1979
description: application/txt
DOI: 10.15468/dl.tsmpjp
title: Occurrence Download

description: A dataset containing 2354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.49_1",
 "TaxonKey is Russulaceae"
 ]
}

 The dataset includes 2354 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010447-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdii1n
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000552-150504100648427/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ke4s3a
title: Occurrence Download

description: A dataset containing 8027 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceramium tenuicorne (Kützing) Waern"
 ]
}

 The dataset includes 8027 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009653-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhni3f
title: Occurrence Download

description: A dataset containing 1246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achatina fulica (Bowdich, 1822)"
 ]
}

 The dataset includes 1246 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038643-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lkb5oo
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000553-150221044754056/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axk2u8
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000554-150210113312293/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.