cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4625147
title: Islamic Law [IO Islamic 778]

description: Law: Ḥanafite.

This manuscript is now IO Islamic 778 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 219 here with further notations and hyperlinks].


 

219.

778. Size 83/4 in. by 51/2 in.; foll. 539. Twenty-seven lines in a page.

The first part of a Commentary on the Hidâyah, entitled العنایة, by Muḥammad b. Maḥmûd b. Aḥmad Ḥanafî1 (Akmal al-dîn BÂBARTÎ, d. A.H. 786). Cf. Ḥ. Kh. vi. 485; Cat. St. Petersb. 40; and Flügel, Class. 334 sq. The work was printed at Calcutta, A.H. 1247, in four vols.

This is also a commentary by قوله. The present volume comprises the first half of the Hidâyah, or the first two volumes of the aforesaid edition, and concludes: نجز الجزو الثانی من العنایة فی شرح الهدایة بحمدالله.. و یتلوه الجزو الثالث کتاب البیوع; but the beginning of the second جزء is not marked.

Inelegantly written; the first two leaves restored by a more modern hand. Owing to the bad quality of the ink, the leaves had stuck together, and often could not be separated without injuring the writing.

This MS. was once a وقف.

[Hastings.]

 

1 Thus the author names himself in the preface.
DOI: 10.15468/dl.mzg2nn
title: Occurrence Download

description: A dataset containing 18541 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Ictiología del Instituto de Ciencias Naturales (ICN-MHN-Ic)"
 ]
}

 The dataset includes 18541 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011884-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wz6myk
title: Occurrence Download

description: A dataset containing 7583 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 "RecordedBy is one of (marie-victorin, fr.; rolland-germain, fr., marie-victorin, frere; rolland-germain, frere, marie-victorin, frere ; rolland-germain, frere)"
 ]
}

 The dataset includes 7583 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011883-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15545028
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250529l Preliminary-ExtCoinc

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250529l Preliminary-ExtCoinc. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15545029
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250529l Preliminary-ExtCoinc

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250529l Preliminary-ExtCoinc. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.23729/fd-e7825d43-a844-34ab-b89c-f45514b63dec
title: LUT University Energy Consumption/Production Dataset

description: The Data was collected at LUT University, Lappeenranta, Finland. Save for measurement or API errors, all variables were sampled at an hourly rate and logged using UTC timestamps. The dataset comprises:
- The aggregated energy consumed by an entire building [kW].
- The aggregated electricity generated by the PV panel array [kW].
- Day-ahead (ELSPOT) prices for the Finnish Market [€/MWh].
  - This information is made publicly available by [ENTSO-e](https://newtransparency.entsoe.eu/market/energyPrices). The version found in `raw/elspot.parquet` comprises only the relevant years and uses UTC timestamps instead of local time.
- Meteorological variables measured 6 km away from campus at the Lappeenranta airport (see table below).

| Variable | Unit |
| --- | --- |
| Air Temperature | ◦C |
| Cloud Amount | Okta |
| Dew Point Temperature | ◦C |
| Global/Diffuse Radiation | W/m2 |
| Gust Speed | m/s |
| Horizontal Visibility | m |
| Pressure | hPa |
| Relative Humidity | % |
| Sunshine | % |
| Wind Direction | ◦ |
| Wind Speed | m/s |

The production and consumption columns are stored in two separate files (`raw/{consumption/production}.parquet`); thus, for the sake of consistency, the datasets were clipped to their overlapping period and joined into a single table. Discrepancies between duplicated columns arise from missing values in one of the two sources; a robust average (averaged if not null) was set as the consensus value for the redundant measurements.

The hourly timestamps were first enforced via upscaling without interpolation. A graphical analysis of the raw data revealed that the measurements are naturally split by missing values into three segments:
1. From 30.09.2017 to 30.12.2017 (2208 samples, or 11.2% of the dataset), found in `partitioned/dataset_0.parquet`.
2. From 05.02.2018 to 06.10.2018 (5856 samples after previous-day interpolation for the missing data bump in the middle of the segment, or 29.7% of the dataset), found in `partitioned/dataset_1.parquet`.
3. From 16.11.2018 to 14.03.2020 (11640 samples, or 59.1% of the dataset), found in `partitioned/dataset_2.parquet`.

Finally, the script that transforms the raw data into the partitioned tables is provided as a Jupyter Notebook (`dataset_integration.ipynb`).
DOI: 10.5281/zenodo.5196085
title: Scholastic Theology [IO Bijapur 215]

description: Scholastic Theology.

This manuscript is now IO Bijapur 215 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 455 here with further notations and hyperlinks].


455.

B 215. Size 8 in. by 5 in.; foll. 75. From fifteen to nineteen lines in a page.

A Commentary (ممزوج) on ‘Aḍud al-dîn Îjî’s (d. A.H. 756) Articles of Faith (عقائد), by (Jalâl al-dîn) Muḥammad b. As’ad Ṣiddîḳî DAWWÂNÎ (d. A.H. 907 or 908). Cf. Ḥ. Kh. iv. 217, and Catal. St. Petersb. 225. This work was printed, together with a commentary on it, at Constantinople, A.H. 1233.

The author’s preface begins: یا من وفقنا لتحقیق العقائد الاسلامیة، و عصمنا من التقلید فی الاصول و الفروع الکلامیة.

The commentary, omitting Îjî’s preface, begins with the words قال النبی عم.

Plainly written, by Ilyâs b. Shaikh Farîd, of Fatḥpûr-Sîkrî (فی بلدة السیکری المعروف بفتحبور), for his own use. Date, end of Rabî’ I., 990.

 

Cat. 225, x.
DOI: 10.5281/zenodo.5196086
title: Scholastic Theology [IO Bijapur 215]

description: Scholastic Theology.

This manuscript is now IO Bijapur 215 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 455 here with further notations and hyperlinks].


455.

B 215. Size 8 in. by 5 in.; foll. 75. From fifteen to nineteen lines in a page.

A Commentary (ممزوج) on ‘Aḍud al-dîn Îjî’s (d. A.H. 756) Articles of Faith (عقائد), by (Jalâl al-dîn) Muḥammad b. As’ad Ṣiddîḳî DAWWÂNÎ (d. A.H. 907 or 908). Cf. Ḥ. Kh. iv. 217, and Catal. St. Petersb. 225. This work was printed, together with a commentary on it, at Constantinople, A.H. 1233.

The author’s preface begins: یا من وفقنا لتحقیق العقائد الاسلامیة، و عصمنا من التقلید فی الاصول و الفروع الکلامیة.

The commentary, omitting Îjî’s preface, begins with the words قال النبی عم.

Plainly written, by Ilyâs b. Shaikh Farîd, of Fatḥpûr-Sîkrî (فی بلدة السیکری المعروف بفتحبور), for his own use. Date, end of Rabî’ I., 990.

 

Cat. 225, x.
DOI: 10.15468/dl.tvc9yn
title: Occurrence Download

description: A dataset containing 44375 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pontederia crassipes"
 ]
}

 The dataset includes 44375 records from 734 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003211-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3929/ethz-c-000787903
title: Data on Swiss grapevine growers’ production, pest and labour management decisions

description: This dataset contains survey responses from 489 Swiss grapevine growers collected in spring 2025. It covers production choices, pest and risk management, labour management, and behavioural factors. Key data include adoption of pesticide-reducing practices, farm and farmer characteristics, labour details, and environmental variables linked to disease risk. This data provides an extensive resource for analysis on production, pest management, risk management, behavioural factors, and labour organization which could be used for meta-analysis or in a panel dataset with previous similar surveys. All personally identifiable data has been removed for confidentiality reasons.
DOI: 10.15468/dl.x4y6zg
title: Occurrence Download

description: A dataset containing 6246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((136.00553 -1.21309,136.23872 -1.21309,136.23872 -1.11985,136.00553 -1.11985,136.00553 -1.21309))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 6246 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003215-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shn465
title: Occurrence Download

description: A dataset containing 1797 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parnara bada"
 ]
}

 The dataset includes 1797 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003216-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17620121
title: Pesona Batik Jombang Sales Figures

description: 1. Data Objective: The primary objective of this dataset is to analyze the sales performance of various batik products, identify trends in customer purchasing behavior, and inform inventory management and marketing strategies for the business

2. Collection Methodology The data was collected automatically manually from the batik vendor. All transactions, including product details, quantities, prices, and dates.

3. Content Summary: The dataset typically contains transaction-level information. Key fields include: Transaction_ID: Unique identifier for each sale. Date: The date of the transaction. Product_Name: Specific name of the batik (e.g., Parang Rusak, Kawung). Product_Category: Type of batik product (e.g., Cloth, Shirt, Dress). Quantity: Number of items sold in the transaction. Unit_Price: Price per unit (IDR). Total_Revenue: The total sales amount for the item. 

4. Data Format: The dataset is provided in CSV (Comma Separated Values) format, which is easily readable and compatible with most data analysis tools (Python, R, Excel, etc.). 

5. Suggested Use :This dataset is ideal for: Time Series Analysis: Forecasting future demand and sales. Product Performance Analysis: Identifying best-selling and worst-selling batik patterns or categories. Geographical Analysis: If location data is included, determining high-performing sales regions.
DOI: 10.5281/zenodo.17620122
title: Pesona Batik Jombang Sales Figures

description: 1. Data Objective: The primary objective of this dataset is to analyze the sales performance of various batik products, identify trends in customer purchasing behavior, and inform inventory management and marketing strategies for the business

2. Collection Methodology The data was collected automatically manually from the batik vendor. All transactions, including product details, quantities, prices, and dates.

3. Content Summary: The dataset typically contains transaction-level information. Key fields include: Transaction_ID: Unique identifier for each sale. Date: The date of the transaction. Product_Name: Specific name of the batik (e.g., Parang Rusak, Kawung). Product_Category: Type of batik product (e.g., Cloth, Shirt, Dress). Quantity: Number of items sold in the transaction. Unit_Price: Price per unit (IDR). Total_Revenue: The total sales amount for the item. 

4. Data Format: The dataset is provided in CSV (Comma Separated Values) format, which is easily readable and compatible with most data analysis tools (Python, R, Excel, etc.). 

5. Suggested Use :This dataset is ideal for: Time Series Analysis: Forecasting future demand and sales. Product Performance Analysis: Identifying best-selling and worst-selling batik patterns or categories. Geographical Analysis: If location data is included, determining high-performing sales regions.
DOI: 10.15468/dl.jbspqj
title: Occurrence Download

description: A dataset containing 3584149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae, Undaria pinnatifida, Lindavia intermedia)",
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 0",
 "DecimalLongitude is greater than or equal to -180",
 "DecimalLatitude is greater than or equal to -90",
 {
 "not" : {
 "or" : [
 "Issue is Zero coordinate",
 "Issue is Coordinate out of range",
 "Issue is Country coordinate mismatch"
 ]
 }
 }
 ]
}

 The dataset includes 3584149 records from 298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003209-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrumkp
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea medusa"
 ]
}

 The dataset includes 484 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003221-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17678435
title: Cost Datasets
DOI: 10.5281/zenodo.17678609
title: Cost Datasets
DOI: 10.15468/dl.4xmuen
title: Occurrence Download

description: A dataset containing 8294346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8294346 records from 1712 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003208-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5e4yb
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "Month is April",
 "TaxonKey is Polyommatus icarus (von Rottemburg, 1775)",
 "Year 2024-2025"
 ]
}

 The dataset includes 160 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009449-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c937vgyzf5.1
title: Efficient gold enrichment in iron (oxyhydr)oxides via nanoparticle adsorption and coarsening

description: Data in the manuscript by Feng-Xia Huang et al. to be published by Geochimica et Cosmochimica Acta as "Efficient gold enrichment in iron (oxyhydr)oxides via nanoparticle adsorption and coarsening".
DOI: 10.15468/dl.nmjave
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurychilopterella pacifica Stonedahl et al."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009740-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2bh2nd2mhv.1
title: Enhancing Stress Tolerance in Cadmium and Zinc Contaminated Soil: The Role of AMF and Metal-Tolerant Pseudomonas fluorescens

description: Heavy metal (HM) contamination in agricultural soils significantly threatens soil health and plant productivity. This study investigates cadmium (Cd) and zinc (Zn) stress impact on tomato plants (Solanum lycopersicum) while exploring the mitigation potential of microbial biostimulants (MBs)—arbuscular mycorrhizal fungi (AMF) and Pseudomonas fluorescens So_08 (PGPR)— employing multi-omics approaches. Specifically, the investigation delves deeply into soil-plant communication mechanisms mediated by root exudates and rhizosphere microbial communities.
Root exudate profiling revealed distinct metabolic changes under HM stress, which compromised soil-plant interactions. Under Cd stress, key classes of metabolites, including phenylpropanoids, lipids, and isoprenoids, show reduced secretion. These metabolites play crucial roles in antioxidative defense, suggesting a shift in resource allocation mechanisms. Moreover, Cd negatively impacted rhizosphere fungal populations. Conversely, Zn stress prompted an increased exudation of lipids, including sphingolipids and sterols, reflecting an adaptive strategy to preserve membrane integrity and functionality. This stress also influenced rhizobacterial community structures.
The MB application mitigated HM-induced stress by enhancing specialized metabolite syntheses, including cinnamic acids, terpenoids, and flavonoids, which promoted crop resilience. MBs also reshaped microbial diversity, fostering beneficial species like Portibacter spp., Alkalitalea saponilacus under Cd stress, and stimulating rhizobacteria like Aggregatilinea spp. under Zn stress.
Multi-omics data integration combined with network analysis highlighted key features associated with improved nutrient availability and reduced HM toxicity under MB treatments, including metabolites and microbial taxa linked to sulfur cycling, nitrogen metabolism, and iron reduction pathways. 
These findings demonstrate that MBs can modulate plant metabolic responses and restore rhizosphere microbial communities under Cd and Zn stress, with PGPR showing broader metabolomic recovery effects and AMF influencing specific metabolite pathways. This study provides new insights into plant-microbe interactions in HM-contaminated environments, supporting the potential application of biostimulants for sustainable soil remediation and plant health improvement.
DOI: 10.17632/hvdtvxnc4y.1
title: Simulated MeSH Hierarchical Dataset with Poincaré Hyperbolic Distances

description: This dataset simulates one million hierarchical relationships between biomedical concepts inspired by the MeSH vocabulary, capturing valid parent-child and unrelated pairs. Each entry contains unique IDs for parent and child concepts, their hierarchical tree numbers, a hyperbolic distance score representing their proximity in a Poincaré embedding space, and a binary label indicating whether the child is a true hierarchical descendant. Valid child nodes have tree numbers extending their parent’s and low hyperbolic distances (0.01–0.4), while invalid pairs have unrelated tree numbers and larger distances (0.8–2.0). This dataset supports research on hierarchical representation learning and classification in biomedical ontologies. Finally, the dataset is part of the larger project regarding oncological solving via computational biology in AURORA.
DOI: 10.15468/dl.yqqhus
title: Occurrence Download

description: A dataset containing 4900497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Basidiomycota",
 "Year 2000-2025"
 ]
}

 The dataset includes 4900497 records from 455 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013586-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-99ak-fz90
title: Tips for Empathy, Understanding, and Ethical Research Engagement—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet provides advice for being empathetic, respectful, and understanding when entering a disaster-affected community. These best practices can help researchers to be mindful of participants’ emotional well-being, collect ethically informed data, and develop more caring interactions and relationships in the field. About the CONVERGE Extreme Events Research Check Sheets Series: The National Science Foundation-supported CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder has developed a series of short, graphical check sheets that are meant to be used as researchers design their studies, prepare to enter the field, conduct field research, and exit the field. The series offers best practices for extreme events research and includes check sheets that are free to the research community. More information is available at: https://converge.colorado.edu/resources/check-sheets.
DOI: 10.17603/ds2-c0z7-hc12
title: Mechanics-informed machine learning for geospatial modeling of soil liquefaction: global model map products for LPI, LPIish, and LSN

description: This dataset contains a suite of raster files (geotiffs) which comprise a global geospatial liquefaction model. This geospatial liquefaction model is designed to predict manifestation of earthquake-induced soil liquefaction at the ground surface through geospatial surrogate models of three standard-of-practice geotechnical models: the liquefaction potential index (LPI); a modified LPI, termed LPIISH; and the liquefaction severity number (LSN). The dataset includes a folder for each continent, with a subdirectory for each surrogate geospatial liquefaction model (LPI, LPIISH, and LSN) which contain subfolders for the (1) model parameters (“Model”); and (2) the model variance classifications (“Variance”). Model users are referred to the journal publication provided in the project description for details regarding model development, performance, and use.

Sanger, M.D., Geyin, M., & Maurer, B.W. (2024). Mechanics-informed machine learning for geospatial modeling of soil liquefaction: global and national surrogate models for simulation and near-real-time response. In Review.