cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e244032
title: NNDSS - Table II. Hepatitis (viral, acute)

description: NNDSS - Table II. Hepatitis (viral, acute) - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.
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description: (Downloaded 2026-01-13)
DOI: 10.3886/e244032v1
title: NNDSS - Table II. Hepatitis (viral, acute)

description: NNDSS - Table II. Hepatitis (viral, acute) - 2015.In this Table, provisional cases of selected notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed.The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note:These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes:C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Three low incidence conditions, rubella, rubella congenital, and tetanus, have been moved to Table 2 to facilitate case count verification with reporting jurisdictions. ��� Case counts for reporting year 2015 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.
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description: (Downloaded 2026-01-13)
DOI: 10.15468/dl.9vkt6y
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vigna umbellata",
 "Year 1960-2010"
 ]
}

 The dataset includes 43 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007915-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18238940
title: Infogravity 4.5 : Descriptive Dynamics and Regime-Selective Gravity

description: Infogravity 4.5 completes the dynamical foundation of the Infogravity program by formulating a notion of full descriptive dynamics that is compatible with coarse-graining across scales. Rather than postulating a fundamental microscopic evolution, the theory characterizes admissible dynamics as families of completely positive semigroup generators whose time evolution approximately commutes with scale-dependent coarse-graining maps. This compatibility requirement acts as a strong exclusion principle, sharply restricting which effective dynamics can persist across descriptive layers.

 

Within this framework, gravitational geometry is not treated as a fundamental interaction but emerges as a condition of dynamical stability. An information-theoretic action, built from the rate of information loss under coarse-graining and invariants of Fisher information geometry, selects stable trajectories as attractors in the space of descriptions. Einstein-like and Friedmann-like equations arise as stationarity conditions of this action, rather than as primary dynamical laws.

 

The theory provides explicit criteria for the existence and breakdown of geometric descriptions, predicts regime transitions in cosmology and strong-gravity systems, and clarifies horizons as boundaries between operational regimes. Infogravity 4.5 thus establishes a consistent dynamical closure for emergent geometry, showing that gravity appears only within regimes where descriptive dynamics remain stable under information loss.
DOI: 10.5281/zenodo.18238949
title: Acianthera pubescens (Lindl.) Pridgeon & M.W.Chase. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:41
DOI: 10.5281/zenodo.18238950
title: Acianthera pubescens (Lindl.) Pridgeon & M.W.Chase. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:41
DOI: 10.15468/dl.k29q5v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.11.142_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007916-260108223611665/datasets/export for details.
DOI: 10.15468/dl.a7dgaf
title: Occurrence Download

description: A dataset containing 3915 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geranium nepalense"
 ]
}

 The dataset includes 3915 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007917-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4etvb
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Metasequoia glyptostroboides H.H.Hu & W.C.Cheng"
 ]
}

 The dataset includes 264 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002921-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjumay
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aromia bungii (Faldermann, 1835)"
 ]
}

 The dataset includes 613 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002922-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4ywrx
title: Occurrence Download

description: A dataset containing 2737906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Poaceae",
 "Year 2011-2020"
 ]
}

 The dataset includes 2737906 records from 3016 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002901-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11596121
title: Contrastive Language Image Pretraining by openai
DOI: 10.15468/dl.bzjjpe
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 2010",
 "TaxonKey is Crinia tinnula Straughan & Main, 1966"
 ]
}

 The dataset includes 239 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002088-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ks493
title: Occurrence Download

description: A dataset containing 5215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Derris Lour."
 ]
}

 The dataset includes 5215 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030483-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.1322629
title: Czech Republic results from the monitoring of pesticide residues in food

description: This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.

A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.

If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample  with quantified residue levels within the legal limits (below or at the MRL)

A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.
description: data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.2587710
title: Czech Republic results from the monitoring of pesticide residues in food

description: This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits. A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy. If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL) A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.
description: data.collection@efsa.europa.eu We are seeking feedback on our open data please complete the survey at the link below https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14
DOI: 10.5281/zenodo.3260519
title: Czech Republic results from the monitoring of pesticide residues in food

description: This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits. A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy. If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL) A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation. <strong>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION:</strong> MOPER_2016 – Czech Agriculture and Food Inspection Authority, State Veterinary Administration MOPER_2017 – Czech Agriculture and Food Inspection Authority, State Veterinary Administration, National Institute of Public Health - Centre for Health, Nutrition and Food <strong>We are seeking feedback on our open data please complete the survey at the link below:<br> https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14</strong>
description: CZ; CSV; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.15399593
title: trial5
DOI: 10.5281/zenodo.15399594
title: trial5
DOI: 10.5281/zenodo.15399624
title: trial5
DOI: 10.7910/dvn/gbhipm
title: Food Intake Estimation Dataset

description: On going project for food intake and nutrition estimation.
DOI: 10.15468/dl.6m99tf
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glycyrrhiza inflata Batalin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 91 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030486-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6nefv
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynomorium songaricum Rupr.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 90 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030484-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rybds
title: Occurrence Download

description: A dataset containing 41787 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Chlorodrepanis virens (J.F.Gmelin, 1788)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 41787 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030485-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydswe6
title: Occurrence Download

description: A dataset containing 3155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-31 -22,-28 -22,-28 -19,-31 -19,-31 -22))",
 "TaxonKey is Malacoctenus brunoi Guimarães, Nunan & Gasparini, 2010"
 ]
}

 The dataset includes 3155 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030487-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwpmgu
title: Occurrence Download

description: A dataset containing 27850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.34247 43.12925,75.22311 43.12925,75.22311 67.85341,13.34247 67.85341,13.34247 43.12925))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia artemisiifolia L."
 ]
}

 The dataset includes 27850 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030488-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.we2ggj
title: Occurrence Download

description: A dataset containing 4940212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "GadmGid is one of (ECU.8.3_1, ECU.8.1_1, ECU.8.4_1, ECU.8.5_1, ECU.14.16_1, ECU.14.10_1, ECU.14.21_1, ECU.14.3_1, ECU.14.8_1, ECU.14.11_1, ECU.14.14_1, ECU.21.2_1, ECU.21.1_1, ECU.13.2_1, ECU.13.8_1, ECU.13.12_1, ECU.13.13_1, ECU.10.11_1, ECU.10.7_1, ECU.10.21_1, ECU.10.6_1, ECU.10.14_1, ECU.10.22_1, ECU.10.16_1, ECU.20.3_1, ECU.20.2_1, ECU.20.1_1, ECU.7.8_1, ECU.7.13_1, ECU.7.10_1, ECU.7.6_1, ECU.7.1_1, ECU.4.6_1, ECU.4.3_1, ECU.4.4_1, ECU.11.3_1, ECU.11.4_1, ECU.11.2_1, ECU.11.1_1, ECU.19.6_1, ECU.19.1_1, ECU.19.7_1, ECU.19.8_1, ECU.6.2_1, ECU.6.5_1, ECU.6.4_1, ECU.6.6_1, ECU.23.1_1, ECU.23.2_1, ECU.23.7_1, ECU.23.8_1, ECU.2.5_1, ECU.2.7_1, ECU.2.2_1, ECU.5.10_1, ECU.5.1_1, ECU.5.6_1, ECU.5.4_1, ECU.3.1_1, ECU.3.2_1, ECU.3.3_1, ECU.3.5_1, ECU.1.3_1, ECU.1.7_1, ECU.1.10_1, ECU.1.2_1, ECU.12.7_1, ECU.12.2_1, ECU.7.14_1, ECU.22.4_1, ECU.22.6_1, ECU.16.5_1, ECU.16.1_1, ECU.16.3_1, ECU.17.4_1, ECU.17.2_1, ECU.18.4_1, ECU.18.2_1, ECU.18.5_1, ECU.15.1_1, ECU.15.3_1, ECU.15.5_1, ECU.24.9_1, ECU.24.8_1, ECU.24.2_1, ECU.9.2_1, ECU.9.3_1, ECU.9.1_1)",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "Year 1991-2021"
 ]
}

 The dataset includes 4940212 records from 632 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030412-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.