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Seine: Plan de la Seine entre Montereau et Paris (12 feuilles)
No full textSeine: Plan de la Seine entre Montereau et Paris (12 feuilles).
Le plan de la Seine entre Montereau et Paris est constitué d'un ensemble de douze calques, réalisés en 1848.
Feuille 1/12 de Montereau à Vernou : EAT_Seine_Montereau_Vernou_1848_1.tif et EAT_Seine_Montereau_Vernou_1848_2.tif
Feuille 2/12 de Vernou à Samoreau : EAT_Seine_Vernou_Samoreau_1848_1.tif et EAT_Seine_Vernou_Samoreau_1848_2.tif
Feuille 3/12 de Héricy à Fontaine-le-Port : EAT_Seine_Hericy_Fontaine_Le_Port_1848.tif
Feuille 4/12 de Chartrettes à La Rochette : EAT_Seine_Chartrettes_La_Rochette_1848.tif
Feuille 5/12 de Livry au Mée (Melun) : EAT_Seine_Livry_Le_Mee_1848.tif
Feuille 6/12 de Dammarie à Saint Fargeau : EAT_Seine_Dammarie_Saint_Fargeau_1848_1.tif et EAT_Seine_Dammarie_Saint_Fargeau_1848_2.tif
Feuille 7/12 de Seine-Port au Plessis-Chenet : EAT_Seine_Seine_Port_Plessis_Chenet_1848.tif
Feuille 8/12 de Corbeil à Soisy-sous-Etiolles : EAT_Seine_Corbeil_Soisy_Sous_Etiolles_1848.tif
Feuille 9/12 de Soisy à Juvisy : EAT_Seine_Soisy_Juvisy_1848.tif
Feuille 10/12 de Juvisy à Villeneuve-Saint-George : EAT_Seine_Juvisy_Villeneuve_Saint_Georges_1848.tif
Feuille 11/12 de Villeneuve-Saint-Georges à Vitry : EAT_Seine_Villeneuve_Saint_Georges_Vitry_1848.tif
Numérisation en 2014. Géoréférencement en 2014 par Julie DAVODET. Mise en ligne en avril 2015. Métadonnées par Julie DAVODET et Juliette AUDET.</p
Replication data for: Fig 10.6, Top, BTPDs, Percentage of sexually active males in colony vs coterie type, 13 Dec 2025
No full textFILE DESCRIPTION
Keywords: BTPDs, Coterie type, percentage of sexually active males in colony
File name = Fig 10.6, Top, BTPDs, Percentage of sexually active males in colony vs coterie type, 13 Dec 2025
OLD File name = BTPDs, Percentage of sexually active males vs coterie type, 12 Feb 2025
Percent of colony residents that were sexually active males = number of sexually active-mature males/total
number of all adult and yearling residents in colony in May (X 100 for calculation of percentage)
Percentage of No-male BTPD coteries = Percentage of BTPD coteries that were No-male
Percentage of Half-male BTPD coteries = Percentage of BTPD coteries that were Half-male
These data checked TWO TIMES at creation of this file on 12 Feb 2025
These data used for Fig 10.6 in Hoogland 2026.
This file ready for longterm storage on 12 Feb 2025.
Coterie type = Type of coterie = One-male (1), Multi-male (2), Half-male (0.5) or No-male (0)
No-male coterie had no resident sexually mature male in May
Half-male coterie shared a single sexually mature male in May with another coterie
One-male coterie had a single resident sexually mature male in May
Multi-male coterie had >=2 sexually mature males in May
For more information about coterie types, see Chapter 10 of Hoogland 2025
One entry per year for columns A, B, and C
All BTPD data from Rankin Ridge study-colony at Wind Cave National Park, South Dakota, from 1976 through 1988.
No data from 1975, when I could not accurately determine coterie compositions.
I have not shown the percentage symbol (%) for any of the three columns (A, B, and C).
File name = Fig 10.6, Top, BTPDs, Percentage of sexually active males in colony vs coterie type, 13 Dec 2025
This file does not contain information on YEAR for each line. I could find those data, if necessary
Replication data for: Fig 9.4, 9.5, 9.6, 10.2, and 10.5, GPDs, Clansize and clan comps, 04 Dec 2025
No full textFILE DESCRIPTION
Keywords: GPDs, clansize, clantype, clan composition
File name = Fig 9.4, 9.5, 9.6, 10.2, and 10.5, GPDs, Clansize and clan comps, 04 Dec 2025
OLDFile name = Fig 9.4, 9.5, 9.6, 10.2, and 10.5, GPDs, Clansize and clan comps, 01 May 2025
* = change made on 09 April 2020. These changes affect PEFO, RMC, and VCC
OLD File name = GPDs, Clan comps, 10 April 2020
I created this file from SYSTAT file = Clansize, which I created for PEFO GPDs on 21 Oct 1997
I assume that I checked this file TWO TIMES upon creation--but on 09 April 2020 I discover several errors
in data from PEFO GPDs. I have made the corrections in this file.
Most of these errors involves GPDs at PEFO that died in April. Evidently I counted them for 1999 article.
I used data from this file for Hoogland 1999 (Philopatry, dispersal, and social organization…)
All counts on this file on 09 April 2020 are for counts in MAY of every year.
Note: In 1989 only, all yearlings with R + number over 50 were females
In later years, all yearlings with R + ANY NUMBER were MALES.
I made this change because we had no many yearling males in 1990 and beyond.
On 09-10 April 2020, this file has been checked TWO TIMES by JLH alone.
But, I have not re-checked Terrsize on 09-10 April 2020.
For GPDs at RMC and VCC, I enter data on 09-10 April 2020.
Note well: For this file, I counted each male in a half-male clan as 1 rather than 0.5.
I used this same logic for half-male coteries of BTPDs and half-male clans of UPDs.
Clantype = 0 = No male clan = no resident sexually mature male
Clantype = 0.5 = half-male clan
Clantype = 1 = one-male clan
Clantype = 2 = two-male clan
No GPD clan had >2 males
See Chapter 10 of Hoogland 2026 for more information about clan types
NM = No Male = No resident sexually mature male in home territory
Admales = sexually mature males, regardless of age
Adfems = adult female, all of whom copulated
Yrl males = sexually immature yearling males
If a yrlmale was sexually mature, I considered him to be an ADMALE
These clan sizes are for MAY.
If one Admale was in a clan and another ADmale lived in that clan and
shared another clan, I consider the number of ADmales to be TWO.
If two Admales shared the same two clans, then I consider each clan
to have TWO Admales
On 11 April 2020, I remove R22 from 8's clan, because R22
lived alone in a No male clan and is last entry for 2015
I make two final changes on 13 April 2020 (cases 229 and 296)
Note well: Everything for this file checked TWO TIMES on 11-13 April 2020.
On 24 June 2020, I delete 91 and BB6 from 31-R19A in 1994
This change will affect colony size and colony density
and also clan size and clan density
Number of SM females for 31-R19 is now 5 instead of 7 after
deletion of 91 and BB6
Clan size for 31-R19 in 1994 is now 17 instead of 19 after
deletion of 91 and BB6
Note than GPD territory sizes are from Petrified Forest National Park
only from 1989 through 1995. NO DATA for territory sizes from GPDs at the Redondo
Meadow (RMC) and the Visitor Center Colony (VCC) at Valles Caldera National Preserve (VCNP)
Clan size = number of adults and yearlings in same territory.
These data from all three GPD colonies: Petrified Forest National Park (PEFO),
Redondo Meadow Colony (RMC) of Valles Caldera National Preserve (VCNP, and
Visitor Center Colony (VCC) of VCNP.
These data used for Figures 9.4, 9.5, 9.6, 10.2, and 10.5 in Hoogland 2026.
This file ready for longterm storage on 05 Feb 2025.
Terrsize = size of home territory in hectares
File name = Fig 9.4, 9.5, 9.6, 10.2, and 10.5, GPDs, Clansize and clan comps, 04 Dec 202
Eure: Cours de l'Eure depuis sa source jusqu'à sa chute dans la Seine (1835)
No full textCarte manuscrite, dessinée à la plume et lavée de rouge et de jaune.
La couleur rouge indique les limites du département de l'Eure.
La couleur jaune est utilisée pour les départements de la Seine et Oise, du Cher et du Loiret.
Les toponymes sont figuré par des points rouges dont la taille dépend de l'importance de de la ville.
Le dessinateur a en fait copié une carte et s'est amusé à jouer avec les codes élaborés à l'époque moderne. En haut à gauche la rivière s'échappe de la bordure qui elle reste très conventionnelle.
Raster Geotiff : EAT_Eure_Plan_Geometrique_1835.tif
Service des Cartes et Plans des Archives Nationales. Cote AN F/14/10058/3/2.
Numérisation en 2014. Géoréférencement en 2014 par Julie DAVODET. Métadonnées par Julie DAVODET et Juliette AUDET. Mise en ligne en avril 2015.</p
REMMOA-I Aerial surveys for marine megafauna in French Overseas and adjacent waters: South West Indian Ocean, 2009-2010
No full textThe aim of the REMMOA surveys is to establish an inventory of the spatial distribution and monitor the relative abundance of marine mammals, seabirds and other marine megafauna (such as sea turtles and large fish) in the French overseas territories and adjacent waters. Surveys are typically conducted over large marine areas, including offshore and coastal regions, using a standardised protocol (Doremus et al. 2020*). This dataset represents the first implementation of REMMOA in 2009-2010 in French overseas and adjacent waters of the South West Indian Ocean. The transects were flown using twin-engine, high-wing aircraft at an average speed of 90 knots and an altitude of 600 feet. The on-board team consisted of three or four people who took turns manning the stations: two trained observers who looked with the naked eye through bubble windows (allowing the observer to look under the aircraft), and a navigator responsible for collecting the data using VOR software. The data were then validated and entered into the Pelagis Observatory's Observation at Sea database, from which they were extracted for this repository.
* https://www.observatoire-pelagis.cnrs.fr/wp-content/uploads/2021/08/GuideMethodoAerien2020.pdf (2024-04-11
Replication Data for: Fig 5.4, Middle, Autogrooming, BTPDs vs WTPDs, 16 Oct 2025
No full textFILE DESCRIPTION
Keywords: Autogrooming, interspecific comparison, black-tails vs white-tails
File name = Fig 5.4, Middle, Autogrooming, BTPDs vs WTPDs, 16 Oct 2035
I used these data for Fig 5.4, Middle graph, of Hoogland 2026
The number above SE line indicates the number of 30-min periods of observation.
WTPD = white-tailed prairie dog BTPD = black-tailed prairie dog
BTPDs and WTPDs were not marked, but I switched areas of observation
for each 30-min period of observation. I considered all data to be independent.
All data in this table are from ADULT WTPDs--i.e., no data from juveniles.
These data ready for longterm storage on 17 Sept 2025.
WTPD data shown here are summaries. Raw data are in my field notes.
This EXCEL file for AUTOgroomings. See other EXCEL file for ALLOgroomings.
Autogrooms per adult per hou
Replication data for: Fig 10.1, BTPDs, coterie sizes and types, by year, 09 Dec 2025
No full textFILE DESCRIPTION
Keywords: Coterie size, coterie type, by year, BTPDs
File name = Fig 10.1, BTPDs, coterie sizes and types, by year, 09 Dec 2025
OLDFile name = BTPDs, cotsize, cottype, by year, 15 April 2020
Note well: These numbers are for MAY. Prior to today, most of my BTPD counts are from APRIL.
For example, all data for coterie sizes in Hoogland 1995 are for APRIL rather than May.
To ponder: Should I use APRIL COUNTS for infanticide data?--because so many BTPD kills
occurred in April rather than the May kills for UPDs and GPDs.
Note Appendix B in Hoogland 1995, for example: Almost ALL kills occurred in April rather than May.
By contrast, most UPD and GPD kills occurred in May rather than April.
For this table, SM male = sexually mature BTPD male, including some BTPD yearling males that copulated.
Adfem = >=2 year old female. I do NOT score BTPD yearlings that copulated as Adfems for this table.
If a BTPD male was >=2 years old but showed not evidence of sexual activity (No Pigmented Scrotum[PS],
No Descended testes [DT] or no observed copulations), then I scored that male as a SI male.
SM male = sexually mature/sexually active male
Adfem = adult female = >=2=year old female for BTPDs
SI male = sexually inactive in year of observation.
Conclusion: I SHOULD use April counts for infanticides vs ward density for BTPDs--I think.
On 15 April 2020, I check everything in this table TWO TIMES.
Cotsize = Coterie size = Number of adults and yearlings in May
Coterie type = Type of coterie = One-male (1), Multi-male (2), Half-male (0.5) or No-male (0)
No-male coterie had no resident sexually mature male in May
Half-male coterie shared a single sexually mature male in May with another coterie
One-male coterie had a single resident sexually mature male in May
Multi-male coterie had >=2 sexually mature males in May
For more information about coterie types, see Chapter 10 of Hoogland 2025
Yrlfems = yearling females = females that were one-year old
MOST yearling BTPD females did not copulate, but a few did.
These data used for Figure 10.1 in Hoogland 2026.
This file ready for longterm storage on 11 Feb 2025.
File name = Fig 10.1, BTPDs, coterie sizes and types, by year, 09 Dec 202
Ecosystem functions in oilseed rape
No full textEcosystem functions measured in 94 oilseed rape fields between 2016 and 2022:
- pollination
- natural pest control
- soil organic matter decomposition
Landscape variables, i.e. the amount of organic farming, meadow, hedgerows, forest and oilseed rape around the fields, are also provided
High-throughput microfluidic real-time PCR as a promising tool in disease ecology
No full textPCR results for 28 DNA-based infectious agents (IA) using high-throughput microfluidic real-time PCR in several vertebrate species in three French Southern Territories in the southern Indian Ocean. The main dataset includes PCR results from cloacal and/or oral swabs and/or necropsy material for 354 individuals (12 native bird species, 2 native mammal species and 2 introduced mammal species). For each individual: Sampling year, island, sample ID, site, species and material type, PCR result for each IA. The main dataset is complemented by other datasets: longitude and latitude for each site
Success rates and reaction times of macaques (Macaca tonkeana & Macaca mulatta) in a 'spot the odd one out' task
No full textThe data set consists of four distinct elements. The first element is a table in .csv format (Excel software) corresponding to the database with the success rates and reaction times, associated with the article (https://doi.org/10.1007/s10071-023-01831-9). The second element is a code in .RMD format (R and R-studio softwares) corresponding to the script used to analyze the database. The third element is a video in .mp4 format (VLC software) corresponding to a video example of the experiment. The fourth element is a text in .txt format with further explanations regarding the files, notably the variables of the database