cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mya96u
title: Occurrence Download

description: A dataset containing 14772 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.05998 54.06745,37.70051 54.06745,37.70051 82.27139,-3.05998 82.27139,-3.05998 54.06745))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Pennatulacea, Kophobelemnon, Balticina, Funiculina, Ptilella, Stylatula, Halipteris)"
 ]
}

 The dataset includes 14772 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002009-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/ty2t-jt12
title: Parkes observations for project P1238 semester 2025OCTS_09

description: Young and energetic pulsars can power pulsar wind nebulae (PWNe), which are observable across the electromagnetic spectrum from radio to X-rays. Occasionally, the origin of a PWNe is connected to the parent supernova remnants (SNR). The exceptional sensitivity and high resolution of next-generation radio surveys conducted with ASKAP and MeerKAT make them particularly effective in discovering diffuse and low surface brightness objects in our Galaxy, such as PWNe and SNRs. We can then use these PWN and SNR associations to guide our targeted search for radio pulsars. This strategy has proven successful with our recent discoveries of two high-dispersion measure (DM) pulsars powering a bow-shocked PWNe. Building on this success, we continue our search and have selected the most promising and scientifically compelling candidates for detailed follow-up investigation. We propose to use the Parkes Ultra-Wideband Low (UWL) receiver to conduct a targeted search for three pulsar candidates. Given that the pulsar candidates are embedded in SNRs and/or PWNe, located near the Galactic Plane, and may be at large distances, we expect them to have high DMs. High DMs result in scattering and pulse broadening, making them difficult to detect in conventional low-frequency pulsar surveys. The wide frequency coverage of UWL, particularly its high-frequency band (3-4 GHz), presents a unique opportunity to mitigate these effects and significantly enhance the detectability of distant, highly dispersed pulsars.
DOI: 10.34808/znqd-2r39
title: Raw data from isothermal calorimetry tests of 3D-printed concrete mixtures with mixed aggregate

description: Calorimetric data of cementitious material with mixed aggregate were obtained using an isothermal calorimeter (TAM Air, 3-channel model by TA Instruments).
Specimen designation is associated with samples designation in the associated manuscript.
M0 - reference sampleM20B - 20% of aggregate replaced with brick aggregateM20M - 20% of aggregate replaced with magnetite aggregate
DOI: 10.15468/dl.qwvwr7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((118.424 1.356183, 118.353718 1.350615, 118.285167 1.334048, 118.220036 1.306891, 118.159929 1.269813, 118.106327 1.223726, 118.06055 1.169767, 118.023724 1.109263, 117.996756 1.043706, 117.980309 0.974709, 117.974787 0.903972, 117.980326 0.833236, 117.996788 0.764244, 118.023769 0.698692, 118.060603 0.638196, 118.106383 0.584245, 118.159982 0.538167, 118.220081 0.501096, 118.285199 0.473945, 118.353735 0.457382, 118.424 0.451816, 118.494265 0.457382, 118.562801 0.473945, 118.627919 0.501096, 118.688018 0.538167, 118.741617 0.584245, 118.787397 0.638196, 118.824231 0.698692, 118.851212 0.764244, 118.867674 0.833236, 118.873213 0.903972, 118.867691 0.974709, 118.851244 1.043706, 118.824276 1.109263, 118.78745 1.169767, 118.741673 1.223726, 118.688071 1.269813, 118.627964 1.306891, 118.562833 1.334048, 118.494282 1.350615, 118.424 1.356183))"},{"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/0002010-260120142942310/datasets/export for details.
DOI: 10.15468/dl.hau559
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.715 5.679144, 117.644393 5.673573, 117.575529 5.656998, 117.510107 5.629829, 117.449739 5.592735, 117.395915 5.546632, 117.34996 5.492656, 117.313005 5.432139, 117.285958 5.366573, 117.269482 5.297572, 117.263979 5.226838, 117.269582 5.156111, 117.286148 5.087133, 117.313267 5.021602, 117.350268 4.961129, 117.396239 4.907203, 117.450047 4.861149, 117.510368 4.824099, 117.575719 4.796965, 117.644493 4.780413, 117.715 4.77485, 117.785507 4.780413, 117.854281 4.796965, 117.919632 4.824099, 117.979953 4.861149, 118.033761 4.907203, 118.079732 4.961129, 118.116733 5.021602, 118.143852 5.087133, 118.160418 5.156111, 118.166021 5.226838, 118.160518 5.297572, 118.144042 5.366573, 118.116995 5.432139, 118.08004 5.492656, 118.034085 5.546632, 117.980261 5.592735, 117.919893 5.629829, 117.854471 5.656998, 117.785607 5.673573, 117.715 5.679144))"},{"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 222 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002011-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18323920
title: Relationships Between Engagement With Beauty, Elevation Experience and Moral Attribution: A Study Through Aphorisms_dataset
DOI: 10.5281/zenodo.18323921
title: Relationships Between Engagement With Beauty, Elevation Experience and Moral Attribution: A Study Through Aphorisms_dataset
DOI: 10.15468/dl.65aru2
title: Occurrence Download

description: A dataset containing 1832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agonis flexuosa"
 ]
}

 The dataset includes 1832 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002013-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffncem
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Geometry POLYGON((-10.16294 24.88065,132.40616 24.88065,132.40616 73.27911,-10.16294 73.27911,-10.16294 24.88065))",
 "TaxonKey is Quercus castaneifolia"
 ]
}

 The dataset includes 188 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002014-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5uaz3e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.021 1.380183, 101.950717 1.374615, 101.882165 1.358048, 101.817034 1.330891, 101.756927 1.293813, 101.703324 1.247726, 101.657547 1.193766, 101.620721 1.133262, 101.593752 1.067705, 101.577305 0.998708, 101.571784 0.927971, 101.577323 0.857236, 101.593786 0.788243, 101.620767 0.722692, 101.657601 0.662196, 101.703381 0.608245, 101.756981 0.562167, 101.81708 0.525096, 101.882199 0.497945, 101.950735 0.481383, 102.021 0.475816, 102.091265 0.481383, 102.159801 0.497945, 102.22492 0.525096, 102.285019 0.562167, 102.338619 0.608245, 102.384399 0.662196, 102.421233 0.722692, 102.448214 0.788243, 102.464677 0.857236, 102.470216 0.927971, 102.464695 0.998708, 102.448248 1.067705, 102.421279 1.133262, 102.384453 1.193766, 102.338676 1.247726, 102.285073 1.293813, 102.224966 1.330891, 102.159835 1.358048, 102.091283 1.374615, 102.021 1.380183))"},{"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/0002015-260120142942310/datasets/export for details.
DOI: 10.24403/jp.1517189
title: Über die Erfurter Mohrengasse / Karl Heinemeyer
DOI: 10.5281/zenodo.18323771
title: Data for fine-tuning and reproducing results for CRISPREvo from "Biological Foundation Models Enable CRISPR Array Detection Without Metagenomic Assembly"
DOI: 10.5281/zenodo.18323772
title: Data for fine-tuning and reproducing results for CRISPREvo from "Biological Foundation Models Enable CRISPR Array Detection Without Metagenomic Assembly"
DOI: 10.15468/dl.dzv7q5
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((119.057 5.681144, 118.986393 5.675573, 118.917529 5.658998, 118.852106 5.631829, 118.791738 5.594735, 118.737914 5.548632, 118.691959 5.494656, 118.655004 5.434139, 118.627957 5.368573, 118.611481 5.299572, 118.605978 5.228838, 118.611581 5.158111, 118.628147 5.089133, 118.655266 5.023602, 118.692267 4.963129, 118.738238 4.909203, 118.792046 4.863149, 118.852368 4.826099, 118.917719 4.798965, 118.986493 4.782413, 119.057 4.77685, 119.127507 4.782413, 119.196281 4.798965, 119.261632 4.826099, 119.321954 4.863149, 119.375762 4.909203, 119.421733 4.963129, 119.458734 5.023602, 119.485853 5.089133, 119.502419 5.158111, 119.508022 5.228838, 119.502519 5.299572, 119.486043 5.368573, 119.458996 5.434139, 119.422041 5.494656, 119.376086 5.548632, 119.322262 5.594735, 119.261894 5.631829, 119.196471 5.658998, 119.127607 5.675573, 119.057 5.681144))"},{"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 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002016-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24403/jp.1517284
title: Der unbekannte Dom : neue Erkenntnisse zur Gestalt der Erfurter Stiftskirche St. Marien im 12. und 13. Jahrhundert / Rainer Müller
DOI: 10.5281/zenodo.18281511
title: A Model of errors in transformers

description: This dataset accompanies the paper "A model of errors in transformers." 

Filenames

The data is provided in 25 csv files. Each filename comprises a model name and a task name, as specified in the main text. The acronyms for models are the same as those used in the paper: flash=Gemini 2.5 Flash; pro=Gemini 2.5 Pro; deepseek=DeepSeek R1. The acronyms for tasks are as follows

1) List Reversal -- reversal2) Nested Linear Transformations -- nlt3) Dynamic Programming -- dp 4) Tower of Hanoi -- hanoi 5) Vanilla Addition -- vanaddition6) Addition with algorithm -- algoaddition7) Binary Addition -- binaddition 8) Multiplication -- multiplication9) Multiplication with polynomial intermediaries -- polymult

For instance, data for the accuracy of Gemini Flash on the Dynamic Programming task is contained in flash_dp.csv

File Contents

Each row in the .csv file summarizes the result of a prompt given to the model. 

In each .csv file, the first two columns are "length" and "accuracy". The "length" corresponds to the parameter, c, defined in the paper.  The "accuracy" is 1 if the model obtained the right result for that particular prompt and 0 otherwise. The other columns vary across the .csv files and specify the data given to the model in the prompt. The column headings should be self-explanatory. These columns can be thought of as specifying the sequences, ${\cal S}^{\rm in}$, ${\cal S}^{\rm out}$ and $\widetilde{\cal S}^{\rm out}$ as defined in the paper. 

For instance,  the file flash_vanaddition.csv has four additional columns titled, "Number 1", "Number 2", "True Sum" and "Model Sum", corresponding to the two numbers that were provided in the prompt, the true sum of the numbers and the sum generated by the model respectively. 

The mean accuracy for a given c is computed by collecting all rows with that value of c and dividing the number of rows with accuracy = 1 (R) with the total number of rows (N): $a = {R \over N}$ Error bars can be generated using the formula provided in Appendix  C.

Data adjustments

As explained in Appendix C.2, in some cases small adjustments were made to the data before plotting. These adjustments can be easily identified and undone if required. For example, in the file flash_vanaddition.csv, for some data points the complexity parameter  was shifted by 1. In such  cases, the "length" provided in column 1 will differ from the number of digits in "Number 1"  by 1. ("Number 2" always has the same number of digits as "Number 1".) This adjustment can be undone by simply ignoring the first column and directly considering the length of the numbers.
DOI: 10.5281/zenodo.18281512
title: A Model of errors in transformers

description: This dataset accompanies the paper "A model of errors in transformers." 

Filenames

The data is provided in 25 csv files. Each filename comprises a model name and a task name, as specified in the main text. The acronyms for models are the same as those used in the paper: flash=Gemini 2.5 Flash; pro=Gemini 2.5 Pro; deepseek=DeepSeek R1. The acronyms for tasks are as follows

1) List Reversal -- reversal2) Nested Linear Transformations -- nlt3) Dynamic Programming -- dp 4) Tower of Hanoi -- hanoi 5) Vanilla Addition -- vanaddition6) Addition with algorithm -- algoaddition7) Binary Addition -- binaddition 8) Multiplication -- multiplication9) Multiplication with polynomial intermediaries -- polymult

For instance, data for the accuracy of Gemini Flash on the Dynamic Programming task is contained in flash_dp.csv

File Contents

Each row in the .csv file summarizes the result of a prompt given to the model. 

In each .csv file, the first two columns are "length" and "accuracy". The "length" corresponds to the parameter, c, defined in the paper.  The "accuracy" is 1 if the model obtained the right result for that particular prompt and 0 otherwise. The other columns vary across the .csv files and specify the data given to the model in the prompt. The column headings should be self-explanatory. These columns can be thought of as specifying the sequences, ${\cal S}^{\rm in}$, ${\cal S}^{\rm out}$ and $\widetilde{\cal S}^{\rm out}$ as defined in the paper. 

For instance,  the file flash_vanaddition.csv has four additional columns titled, "Number 1", "Number 2", "True Sum" and "Model Sum", corresponding to the two numbers that were provided in the prompt, the true sum of the numbers and the sum generated by the model respectively. 

The mean accuracy for a given c is computed by collecting all rows with that value of c and dividing the number of rows with accuracy = 1 (R) with the total number of rows (N): $a = {R \over N}$ Error bars can be generated using the formula provided in Appendix  C.

Data adjustments

As explained in Appendix C.2, in some cases small adjustments were made to the data before plotting. These adjustments can be easily identified and undone if required. For example, in the file flash_vanaddition.csv, for some data points the complexity parameter  was shifted by 1. In such  cases, the "length" provided in column 1 will differ from the number of digits in "Number 1"  by 1. ("Number 2" always has the same number of digits as "Number 1".) This adjustment can be undone by simply ignoring the first column and directly considering the length of the numbers.
DOI: 10.24403/jp.1517320
title: Georg Busch „Maler vnd Bürger in Erffurdt“ / Rainer Kobe
DOI: 10.24403/jp.1517329
title: Thilo Sechzehn, „der Reiche“ († 1521) : das Leben eines Erfurter Krämers, Waidhändlers und Ratsherrn im Spiegel seiner Testamente / Martin Sladeczek
DOI: 10.24403/jp.1517397
title: Ambrosius Sidelius (ca. 1530–1613) : ein streitbarer evangelischer Pfarrer in Erfurt / Ilsabe Schalldach
DOI: 10.5281/zenodo.18323885
title: A STUDY OF THE STATE OF STRUGGLE OF THE TRANSGENDER IN "A GIFT OF GODDESS LAKSHMI"

description: Human beings are born and brought up in asociety where they take predefined rolesassigned to them based on their sexes. Sex andgender shouldn’t be mistaken as the samebecause sex refers to the biological status of aperson and gender often refers to the nature onefeels about oneself. Even though transgendersare recognized as the third gender next to maleand female, they are not accepted widely insocieties. They are still struggling for the basichuman rights and needs and their acceptance isstill at stake. There are certain problems thattransgenders are struggling with for their veryexistence in the society. The main problemofbeing a transgender is that, they are not beingwelcomed in public places like educationalinstitutions, hospitals, workplace, hotels, malls,restaurants, theatres, dance floor, etc. Even ifthey are welcomed, they are looked down anddisrespected by onlookers. Let us discuss someof the struggles that transgenders had to gothrough in order to survive the society withreference to the biography A Gift of GoddessLakshmi by Manobi Bandyopadhyay and JhimliMukherjee Pandey
DOI: 10.5281/zenodo.18323884
title: A STUDY OF THE STATE OF STRUGGLE OF THE TRANSGENDER IN "A GIFT OF GODDESS LAKSHMI"

description: Human beings are born and brought up in asociety where they take predefined rolesassigned to them based on their sexes. Sex andgender shouldn’t be mistaken as the samebecause sex refers to the biological status of aperson and gender often refers to the nature onefeels about oneself. Even though transgendersare recognized as the third gender next to maleand female, they are not accepted widely insocieties. They are still struggling for the basichuman rights and needs and their acceptance isstill at stake. There are certain problems thattransgenders are struggling with for their veryexistence in the society. The main problemofbeing a transgender is that, they are not beingwelcomed in public places like educationalinstitutions, hospitals, workplace, hotels, malls,restaurants, theatres, dance floor, etc. Even ifthey are welcomed, they are looked down anddisrespected by onlookers. Let us discuss someof the struggles that transgenders had to gothrough in order to survive the society withreference to the biography A Gift of GoddessLakshmi by Manobi Bandyopadhyay and JhimliMukherjee Pandey
DOI: 10.24403/jp.1517401
title: Vom Holen auf dem Bock : Geschichte eines Liebeszaubers in der Frühneuzeit / Gabor Rychlak
DOI: 10.24403/jp.1517405
title: „… nicht im geringsten ahnen konnten, dass das Benzin zu Nichtmotorzwecken gebraucht würde.“ : die Brandstiftung in der Erfurter Synagoge am 9./10. November 1938 und der Fall Georg Beuchel / Antje Bauer und Tom Fleischhauer
DOI: 10.15468/dl.ecjrrc
title: Occurrence Download

description: A dataset containing 15177 records in GBIF matching the query:
SELECT
 '3' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -46.479780028101516
 AND decimalLatitude &lt;= -41.89415215079384
 AND decimalLongitude &gt;= -75.5327771015545
 AND decimalLongitude &lt;= -65.93482227598784
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 15177 records were derived from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002005-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vce2vn
title: Occurrence Download

description: A dataset containing 7775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "TaxonKey is Casuarina equisetifolia"
 ]
}

 The dataset includes 7775 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002018-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14288/1.0075988
title: Register of Chinese Immigrants to Canada, 1886-1949

description: This is an electronic copy of the Register of Chinese Immigrants to Canada preserved at Library and Archives Canada (LAC) in Ottawa. It was created between 2005 and 2008 as part of a research project on immigration from China to Canada directed by Professors Peter Ward and Henry Yu of the Department of History at the University of British Columbia. This research project was supported by the Social Science Research Council of Canada, grant number 410-2005-0922. See also: Library and Archives Canada's web site on 'Immigrants from China': http://www.collectionscanada.gc.ca/databases/chinese-immigrants/index-e.html. See also: 'Mapping the Villages & Towns Recorded in the Register of Chinese Immigration to Canada from 1885 to 1949': https://asian.library.ubc.ca/files/2012/01/Head-Tax-brochure2.pdf.
DOI: 10.15468/dl.xsuza3
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Shorea glauca King)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 42 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009424-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.