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

description: A dataset containing 24 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'NA'
 AND (occurrence.taxonkey = 5660597 OR occurrence.acceptedtaxonkey = 5660597 OR occurrence.kingdomkey = 5660597 OR occurrence.phylumkey = 5660597 OR occurrence.classkey = 5660597 OR occurrence.orderkey = 5660597 OR occurrence.familykey = 5660597 OR occurrence.genuskey = 5660597 OR occurrence.specieskey = 5660597)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 24 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005231-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ws93hm
title: Occurrence Download

description: A dataset containing 808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.08662 38.09723,-1.29156 37.16967,0.33168 38.39538,0.29855 39.32295,-0.57631 39.71433,-2.21913 39.52171,-2.08662 38.09723))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lutra lutra (Linnaeus, 1758)"
 ]
}

 The dataset includes 808 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005237-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.terc7y
title: Occurrence Download

description: A dataset containing 50481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-17.27059 34.08979,10.86646 34.08979,10.86646 45.33979,-17.27059 45.33979,-17.27059 34.08979))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubo bubo (Linnaeus, 1758)"
 ]
}

 The dataset includes 50481 records from 382 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005218-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.4697679
title: Principles of Jurisprudence [IO Bijapur 197] Glosses on Aḍud al-Dīn ʻAbd al-Raḥmān ibn Aḥmad Ījī

description: Principles of Jurisprudence.

This manuscript is now IO Bijapur 197 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 306 here with further notations and hyperlinks].


306.

B 197. Size 7 in. by 5 in.; foll. 145. From twenty to seventeen lines in a page.

Another copy of the same Glosses, neatly written.

Begins:

الحمدلله اردف التسمیة بالتحمید اقتفاء الخ

The first part ends on fol. 59, with the words:

تم (المنطق من کلام صاحب الکمال)1 بحمد الله الخ

The concluding portion of this part, as found in the preceding MS.,2 is here omitted. Some notes.

Bîj. Libr., A.H. 1026 [= 1617 CE], from Nawwâb Shâh Nawâz Khân. [ed. note: Shāh Nawāz Khān died in 1647 CE and is buried in Bijapur.]

Cat. 229, v. 5.

 

 

1 From the margin.

2 From fol. 80v.
DOI: 10.5281/zenodo.4697680
title: Principles of Jurisprudence [IO Bijapur 197] Glosses on Aḍud al-Dīn ʻAbd al-Raḥmān ibn Aḥmad Ījī

description: Principles of Jurisprudence.

This manuscript is now IO Bijapur 197 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 306 here with further notations and hyperlinks].


306.

B 197. Size 7 in. by 5 in.; foll. 145. From twenty to seventeen lines in a page.

Another copy of the same Glosses, neatly written.

Begins:

الحمدلله اردف التسمیة بالتحمید اقتفاء الخ

The first part ends on fol. 59, with the words:

تم (المنطق من کلام صاحب الکمال)1 بحمد الله الخ

The concluding portion of this part, as found in the preceding MS.,2 is here omitted. Some notes.

Bîj. Libr., A.H. 1026 [= 1617 CE], from Nawwâb Shâh Nawâz Khân. [ed. note: Shāh Nawāz Khān died in 1647 CE and is buried in Bijapur.]

Cat. 229, v. 5.

 

 

1 From the margin.

2 From fol. 80v.
DOI: 10.4121/84e7269f-3e35-4ce4-9122-8e27ffa61837
title: AmeriFlux carbon flux data with co-located ERA5 variables

description: AmeriFlux carbon flux data with co-located ERA5 variables<br>AmeriFlux data was extracted from https://ameriflux.lbl.gov/ (16 May 2024 for all sites, and 7 Mar 2025 for site AMF_US-xUN).Variables include:NEE_VUT_REFGPP_VUT_DT_REFGPP_VUT_NT_REF<br>We used nearest-neighbor interpolation for co-location of ERA5 data. ERA5 data was downloaded from https://doi.org/10.24381/cds.adbb2d47Variables include:Time-mean surface sensible heat fluxTime-mean surface latent heat flux2 metre dewpoint temperatureSurface pressureSurface net short-wave (solar) radiationSurface net long-wave (thermal) radiation2 metre temperatureTotal precipitation
DOI: 10.4121/84e7269f-3e35-4ce4-9122-8e27ffa61837.v1
title: AmeriFlux carbon flux data with co-located ERA5 variables

description: AmeriFlux carbon flux data with co-located ERA5 variables<br>AmeriFlux data was extracted from https://ameriflux.lbl.gov/ (16 May 2024 for all sites, and 7 Mar 2025 for site AMF_US-xUN).Variables include:NEE_VUT_REFGPP_VUT_DT_REFGPP_VUT_NT_REF<br>We used nearest-neighbor interpolation for co-location of ERA5 data. ERA5 data was downloaded from https://doi.org/10.24381/cds.adbb2d47Variables include:Time-mean surface sensible heat fluxTime-mean surface latent heat flux2 metre dewpoint temperatureSurface pressureSurface net short-wave (solar) radiationSurface net long-wave (thermal) radiation2 metre temperatureTotal precipitation
DOI: 10.5517/ccdc.csd.cc24nxsj
title: CCDC 1986318: Experimental Crystal Structure Determination

description: Related Article: Takashi Matsumoto, Akihito Yamano, Takashi Sato, Joseph D. Ferrara, Fraser J. White, Mathias Meyer|2021|J.Chem.Cryst.|51|438|doi:10.1007/s10870-020-00867-w
description: Related Article: Takashi Matsumoto, Akihito Yamano, Takashi Sato, Joseph D. Ferrara, Fraser J. White, Mathias Meyer|2021|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: 10.5281/zenodo.4696109
title: Principles of Jurisprudence [IO Bijapur 310]

description: Principles of Jurisprudence.

This manuscript is now IO Bijapur 310 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 304 here with further notations and hyperlinks].


304.

B 310. Size 9 in. by 43/4 in.; foll. 221. From twenty-six to twenty-two lines in a page.

Another copy of the same work, slightly imperfect and injured at the beginning. Closely written in different Nasta’liḳ hands. The first words are: و آثار معانیه.

Erroneously inscribed: این کتاب غایت التحقیق در علم مناظره و اصول. Cf. Catal. 230, xii.
DOI: 10.5281/zenodo.4696110
title: Principles of Jurisprudence [IO Bijapur 310]

description: Principles of Jurisprudence.

This manuscript is now IO Bijapur 310 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 304 here with further notations and hyperlinks].


304.

B 310. Size 9 in. by 43/4 in.; foll. 221. From twenty-six to twenty-two lines in a page.

Another copy of the same work, slightly imperfect and injured at the beginning. Closely written in different Nasta’liḳ hands. The first words are: و آثار معانیه.

Erroneously inscribed: این کتاب غایت التحقیق در علم مناظره و اصول. Cf. Catal. 230, xii.
DOI: 10.5281/zenodo.7621453
title: Meteorological variables for Agriculture: daily time series for the Italian Area (MADIA daily)

description:  


Abstract


The MADIA daily gridded dataset provides the series of the main agro-meteorological variables derived from ERA5 hourly surface data, with a spatial resolution of 0.25 degrees, across the Italian domain for the period 1981-2022. The dataset contains time series of minimum, average and maximum air temperature, minimum and maximum air relative humidity, wind speed, solar radiation, precipitation and reference evapotranspiration according to the FAO Penman-Monteith method. Data is provided at daily temporal resolution and in csv format (every cell is identified by the latitude/longitude coordinates of its centre). The dataset is annotated with discovery and description metadata. A vector file is included with the ERA5 cell polygons covering the Italian country for visualizing and mapping csv data. In order to facilitate the data reuse for computing statistics at Italian NUTS 2 and 3 levels, a complementary vector file which reports the cell weight in terms of fraction covered of each administrative unit considered, as well as its altitude, is provided in:



	
Parisse Barbara, Alilla Roberta, Pepe Antonio Gerardo, & De Natale Flora. (2022). Meteorological variables for Agriculture: a dataset for the Italian Area (MADIA) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6868944 



Further details on methods applied for data processing are available in:



	
Parisse B., Alilla R., Pepe A.G., De Natale F., MADIA - Meteorological variables for Agriculture: a Dataset for the Italian Area, Data in Brief, 46 (2023), 108843, 10.1016/j.dib.2022.108843, (https://www.sciencedirect.com/science/article/pii/S2352340922010460)



The MADIA daily dataset will be periodically updated.


Attached content


A ZIP archive composed by the following folders:



	
csv_data: daily time series for each year from 1981 to 2022 in csv format
	
metadata: discovery and description metadata
	
shp_data:  a complementary vector layer with the ERA5 cell polygons for Italy



Acknowledgments


This work was supported by the Italian Ministry of Agricultural, Food and Forestry Policies (AgriDigit-Agromodelli, DM n. 36502 of 20/12/2018)
description: This version (v.1.2) the MADIA daily dataset replaces the previous one (v.1.2) to update the incomplete 2022_e5_d.csv file.
DOI: 10.5281/zenodo.7621454
title: Meteorological variables for Agriculture: daily time series for the Italian Area (MADIA daily)

description: <strong>Abstract</strong> The <strong>MADIA daily gridded dataset</strong> provides the series of the main <strong>agro-meteorological </strong>variables derived from ERA5 hourly surface data, with a spatial resolution of 0.25 degrees, across the Italian domain for the period <strong>1981-2021</strong>. The dataset contains time series of minimum, average and maximum air temperature, minimum and maximum air relative humidity, wind speed, solar radiation, precipitation and reference evapotranspiration according to the FAO Penman-Monteith method. Data is provided at daily temporal resolution and in <strong>csv </strong>format (every cell is identified by the latitude/longitude coordinates of its centre). The dataset is annotated with discovery and description metadata. In order to facilitate the data reuse for computing statistics at Italian NUTS 2 and 3 levels, a complementary vector file which reports the cell weight in terms of fraction covered of each administrative unit considered, as well as its altitude, is provided in: Parisse Barbara, Alilla Roberta, Pepe Antonio Gerardo, & De Natale Flora. (2022). <em>Meteorological variables for Agriculture: a dataset for the Italian Area (MADIA)</em> (1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7252361 Further details on methods applied for data processing are available in: Parisse B., Alilla R., Pepe A.G., De Natale F., <em>MADIA - Meteorological variables for Agriculture: a Dataset for the Italian Area</em>, Data in Brief, 46 (2023), 108843, 10.1016/j.dib.2022.108843, (https://www.sciencedirect.com/science/article/pii/S2352340922010460) The MADIA daily dataset will be periodically updated. <strong>Attached content</strong> A ZIP archive composed by the following folders: csv_data: daily time series for each year from 1981 to 2021 in csv format metadata: discovery and description metadata <strong>Acknowledgments</strong> This work was supported by the Italian Ministry of Agricultural, Food and Forestry Policies (AgriDigit-Agromodelli, DM n. 36502 of 20/12/2018)
description: {"references": ["Parisse B., Alilla R., Pepe A.G., De Natale F., MADIA - Meteorological variables for Agriculture: a Dataset for the Italian Area, Data in Brief, 46 (2023), 108843, 10.1016/j.dib.2022.108843, (https://www.sciencedirect.com/science/article/pii/S2352340922010460)", "Parisse B., Pontrandolfi A., Epifani C., Alilla R., De Natale F., An agrometeorological analysis of weather extremes supporting decisions for the agricultural policies in Italy. Italian Journal of Agrometeorology, 3 (2020): 15-30. https://doi.org/10.13128/ijam-790"]}
DOI: 10.5281/zenodo.7760657
title: Meteorological variables for Agriculture: daily time series for the Italian Area (MADIA daily)

description: <strong>Abstract</strong> The <strong>MADIA daily gridded dataset</strong> provides the series of the main <strong>agro-meteorological </strong>variables derived from ERA5 hourly surface data, with a spatial resolution of 0.25 degrees, across the Italian domain for the period <strong>1981-2022</strong>. The dataset contains time series of minimum, average and maximum air temperature, minimum and maximum air relative humidity, wind speed, solar radiation, precipitation and reference evapotranspiration according to the FAO Penman-Monteith method. Data is provided at daily temporal resolution and in <strong>csv </strong>format (every cell is identified by the latitude/longitude coordinates of its centre). The dataset is annotated with discovery and description metadata. A vector file is included with the <strong>ERA5 cell polygons </strong>covering the Italian country for visualizing and mapping csv data. In order to facilitate the data reuse for computing statistics at Italian NUTS 2 and 3 levels, a complementary vector file which reports the cell weight in terms of fraction covered of each administrative unit considered, as well as its altitude, is provided in: Parisse Barbara, Alilla Roberta, Pepe Antonio Gerardo, & De Natale Flora. (2022). <em>Meteorological variables for Agriculture: a dataset for the Italian Area (MADIA)</em> [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6868944 Further details on methods applied for data processing are available in: Parisse B., Alilla R., Pepe A.G., De Natale F., <em>MADIA - Meteorological variables for Agriculture: a Dataset for the Italian Area</em>, Data in Brief, 46 (2023), 108843, 10.1016/j.dib.2022.108843, (https://www.sciencedirect.com/science/article/pii/S2352340922010460) The MADIA daily dataset will be periodically updated. <strong>Attached content</strong> A ZIP archive composed by the following folders: csv_data: daily time series for each year from 1981 to 2022 in csv format metadata: discovery and description metadata shp_data: a complementary vector layer with the ERA5 cell polygons for Italy <strong>Acknowledgments</strong> This work was supported by the Italian Ministry of Agricultural, Food and Forestry Policies (AgriDigit-Agromodelli, DM n. 36502 of 20/12/2018)
description: In this version (v.1.1) the MADIA daily dataset has been updated to 2022. Moreover an additional shapefile ("ERA5_cell_polygons_4_Italy") has been provided to visualize and map the MADIA csv dataset.
description: {"references": ["Parisse B., Alilla R., Pepe A.G., De Natale F., MADIA - Meteorological variables for Agriculture: a Dataset for the Italian Area, Data in Brief, 46 (2023), 108843, 10.1016/j.dib.2022.108843, (https://www.sciencedirect.com/science/article/pii/S2352340922010460)", "Parisse B., Pontrandolfi A., Epifani C., Alilla R., De Natale F., An agrometeorological analysis of weather extremes supporting decisions for the agricultural policies in Italy. Italian Journal of Agrometeorology, 3 (2020): 15-30. https://doi.org/10.13128/ijam-790"]}
DOI: 10.5281/zenodo.8142946
title: Meteorological variables for Agriculture: daily time series for the Italian Area (MADIA daily)

description: <strong>Abstract</strong> The <strong>MADIA daily gridded dataset</strong> provides the series of the main <strong>agro-meteorological </strong>variables derived from ERA5 hourly surface data, with a spatial resolution of 0.25 degrees, across the Italian domain for the period <strong>1981-2022</strong>. The dataset contains time series of minimum, average and maximum air temperature, minimum and maximum air relative humidity, wind speed, solar radiation, precipitation and reference evapotranspiration according to the FAO Penman-Monteith method. Data is provided at daily temporal resolution and in <strong>csv </strong>format (every cell is identified by the latitude/longitude coordinates of its centre). The dataset is annotated with discovery and description metadata. A vector file is included with the <strong>ERA5 cell polygons </strong>covering the Italian country for visualizing and mapping csv data. In order to facilitate the data reuse for computing statistics at Italian NUTS 2 and 3 levels, a complementary vector file which reports the cell weight in terms of fraction covered of each administrative unit considered, as well as its altitude, is provided in: Parisse Barbara, Alilla Roberta, Pepe Antonio Gerardo, & De Natale Flora. (2022). <em>Meteorological variables for Agriculture: a dataset for the Italian Area (MADIA)</em> [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6868944 Further details on methods applied for data processing are available in: Parisse B., Alilla R., Pepe A.G., De Natale F., <em>MADIA - Meteorological variables for Agriculture: a Dataset for the Italian Area</em>, Data in Brief, 46 (2023), 108843, 10.1016/j.dib.2022.108843, (https://www.sciencedirect.com/science/article/pii/S2352340922010460) The MADIA daily dataset will be periodically updated. <strong>Attached content</strong> A ZIP archive composed by the following folders: csv_data: daily time series for each year from 1981 to 2022 in csv format metadata: discovery and description metadata shp_data: a complementary vector layer with the ERA5 cell polygons for Italy <strong>Acknowledgments</strong> This work was supported by the Italian Ministry of Agricultural, Food and Forestry Policies (AgriDigit-Agromodelli, DM n. 36502 of 20/12/2018)
description: This version (v.1.2) the MADIA daily dataset replaces the previous one (v.1.1) to update the erroneously empty 2022_e5_d.csv file.
description: {"references": ["Parisse B., Alilla R., Pepe A.G., De Natale F., MADIA - Meteorological variables for Agriculture: a Dataset for the Italian Area, Data in Brief, 46 (2023), 108843, 10.1016/j.dib.2022.108843, (https://www.sciencedirect.com/science/article/pii/S2352340922010460)", "Parisse B., Pontrandolfi A., Epifani C., Alilla R., De Natale F., An agrometeorological analysis of weather extremes supporting decisions for the agricultural policies in Italy. Italian Journal of Agrometeorology, 3 (2020): 15-30. https://doi.org/10.13128/ijam-790"]}
DOI: 10.5281/zenodo.8144137
title: Meteorological variables for Agriculture: daily time series for the Italian Area (MADIA daily)

description:  


Abstract


The MADIA daily gridded dataset provides the series of the main agro-meteorological variables derived from ERA5 hourly surface data, with a spatial resolution of 0.25 degrees, across the Italian domain for the period 1981-2022. The dataset contains time series of minimum, average and maximum air temperature, minimum and maximum air relative humidity, wind speed, solar radiation, precipitation and reference evapotranspiration according to the FAO Penman-Monteith method. Data is provided at daily temporal resolution and in csv format (every cell is identified by the latitude/longitude coordinates of its centre). The dataset is annotated with discovery and description metadata. A vector file is included with the ERA5 cell polygons covering the Italian country for visualizing and mapping csv data. In order to facilitate the data reuse for computing statistics at Italian NUTS 2 and 3 levels, a complementary vector file which reports the cell weight in terms of fraction covered of each administrative unit considered, as well as its altitude, is provided in:



	
Parisse Barbara, Alilla Roberta, Pepe Antonio Gerardo, & De Natale Flora. (2022). Meteorological variables for Agriculture: a dataset for the Italian Area (MADIA) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6868944 



Further details on methods applied for data processing are available in:



	
Parisse B., Alilla R., Pepe A.G., De Natale F., MADIA - Meteorological variables for Agriculture: a Dataset for the Italian Area, Data in Brief, 46 (2023), 108843, 10.1016/j.dib.2022.108843, (https://www.sciencedirect.com/science/article/pii/S2352340922010460)



The MADIA daily dataset will be periodically updated.


Attached content


A ZIP archive composed by the following folders:



	
csv_data: daily time series for each year from 1981 to 2022 in csv format
	
metadata: discovery and description metadata
	
shp_data:  a complementary vector layer with the ERA5 cell polygons for Italy



Acknowledgments


This work was supported by the Italian Ministry of Agricultural, Food and Forestry Policies (AgriDigit-Agromodelli, DM n. 36502 of 20/12/2018)
description: This version (v.1.2) the MADIA daily dataset replaces the previous one (v.1.2) to update the incomplete 2022_e5_d.csv file.
DOI: 10.5281/zenodo.4696103
title: Principles of Jurisprudence [IO Islamic 1272]

description: Principles of Jurisprudence.
	
This manuscript is now IO Islamic 1272 in the India Office collections.
	
[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 303 here with further notations and hyperlinks].



303.


1272. Size 103/4 in. by 63/4 in.; foll. 202. Twenty-one lines in a page.


Another copy of the same Super-commentary. Well written, but much injured at the end.


The leaves have been misplaced in binding; they should stand thus: 1, 3-152, 177-201, 153-176, 2, 202.


[Hastings.]